Publications

Browse all 517 publications, with figures from the papers where available. Select a figure to enlarge it, or follow its source link to the paper.

517 publications

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2026

Figure 3 from Rhythm of Opinion: A Hawkes-Graph Framework for Dynamic Propagation Analysis Figure 3 · source paper

Rhythm of Opinion: A Hawkes-Graph Framework for Dynamic Propagation Analysis

Yulong Li, Zhixiang Lu, Feilong Tang, Simin Lai, Ming Hu, Yuxuan Zhang, Haochen Xue, Zhaodong Wu, Imran Razzak, Qingxia Li, Jionglong Su

The Web Conference 2026 , 2026

[Google Scholar] [Paper] [arXiv]

Towards Robust Heterogeneous Graph Explanations under Structural Perturbations

Y Lu, P Jiao, X Guo, Z Zou, Y Wang, M Gao, H Wu, I Razzak

Proceedings of the ACM Web Conference 2026, 1262-1273 , 2026

[Google Scholar]

Figure 1 from See Fair, Speak Truth: Equitable Attention Improves Grounding and Reduces Hallucination in Vision-Language Alignment Figure 1 · source paper

See Fair, Speak Truth: Equitable Attention Improves Grounding and Reduces Hallucination in Vision-Language Alignment

Mohammad Anas Azeez, Ankan Deria, Zohaib Hasan Siddiqui, Adinath Madhavrao Dukre, Rafiq Ali, Sara Atito, Yutong Xie, Imran Razzak

arXiv preprint arXiv:2604.09749 , 2026

[Google Scholar] [Paper] [arXiv]

Figure 1 from MS-DKC: A Dataset Knowledge Card Framework for Designing and Adapting Medical Image Segmentation Models Figure 1 · source paper

MS-DKC: A Dataset Knowledge Card Framework for Designing and Adapting Medical Image Segmentation Models

Tariq M. Khan, Syed Saud Naqvi, Thantrira Porntaveetus, Hamid Alinejad-Rokny, Shahzaib Iqbal, Imran Razzak, Mohammad AU Khan

arXiv preprint arXiv:2606.06103 , 2026

[Google Scholar] [Paper] [arXiv]

CARL: Preserving Causal Structure in Representation Learning

Y Li, X Liu, F Tang, Z Lu, M Hu, Y Li, H Xue, P Guo, J Su, Y Xie, E Segal, ...

The Fourteenth International Conference on Learning Representations , 2026

[Google Scholar]

Figure 2 from DoAtlas-1: A Causal Compilation Paradigm for Clinical AI Figure 2 · source paper

DoAtlas-1: A Causal Compilation Paradigm for Clinical AI

Yulong Li, Jianxu Chen, Xiwei Liu, Chuanyue Suo, Rong Xia, Zhixiang Lu, Yichen Li, Xinlin Zhuang, Niranjana Arun Menon, Yutong Xie, Eran Segal, Imran Razzak

arXiv preprint arXiv:2602.19158 , 2026

[Google Scholar] [Paper] [arXiv]

Population-scale characterization of the oral microbiome and associations with metabolic health

H Xue, A Godneva, F Tang, H Li, Y Li, M Hu, R Li, J Su, E Segal, I Razzak

Nature Communications , 2026

[Google Scholar]

Figure 2 from EnTrust: Modeling Inter-Modal Conflict for Trustworthy Multimodal Medical Image Analysis Figure 2 · source paper

EnTrust: Modeling Inter-Modal Conflict for Trustworthy Multimodal Medical Image Analysis

Dwarikanath Mahapatra, Abhijit Das, Behzad Bozorgtabar, Zongyuan Ge, Sudipta Roy, Deepak Nayak, Mauricio Reyes, Imran Razzak

arXiv preprint arXiv:2606.21384 , 2026

[Google Scholar] [Paper] [arXiv]

Figure 2 from Cluster-SCP: Similarity and Contrastive Learning to Enhance Pseudo Labels for Fine Tuning under Few Labels Figure 2 · source paper

Cluster-SCP: Similarity and Contrastive Learning to Enhance Pseudo Labels for Fine Tuning under Few Labels

A Alsuhaibani, A Alalawi, I Razzak, S Jameel, X Wang, G Xu

World Wide Web 29 (3), 28 , 2026

[Google Scholar] [Paper]

Semantics Preserving Contrastive Decoding for Hallucination Robust Medical Vision-Language Models

D Mahapatra, A Dhabi, B Bozorgtabar, I Razzak

[Google Scholar]

GatorSC: multi-scale cell and gene graphs with mixture-of-experts fusion for single-cell transcriptomics

Y Liu, Z Zhang, M Qiu, S Wang, FD Salim, J Shen, T Chen, I Razzak, F Li, ...

Briefings in Bioinformatics 27 (3), bbag330 , 2026

[Google Scholar]

Lightweight Federated Incremental Learning via Decoupled Replay

X Wang, Y Li, H Su, G Liu, S Li, C Zhao, J Shi, I Razzak

Forty-third International Conference on Machine Learning , 2026

[Google Scholar]

Feature Space Translation Framework for Cross-Device Alignment and Derivation of Clinically Relevant Retinal Biomarkers from Foundation Model Embeddings

S Rastogi, A Bakshi, J Sriharisesh, I Razzak, C Panigrahy, J Bedi, ...

Forty-third International Conference on Machine Learning , 2026

[Google Scholar]

Figure 2 from FedCD: Towards Consolidated Distillation for Heterogeneous Federated Learning Figure 2 · source paper

FedCD: Towards Consolidated Distillation for Heterogeneous Federated Learning

Y Li, H Su, H Li, H Yang, X Zhuang, H Xue, H Wang, I Razzak

Proceedings of the AAAI Conference on Artificial Intelligence 40 (28), 23256 … , 2026

[Google Scholar] [Paper]

Figure 1 from VALIANT: Prompt Instability for Active Learning in Black-Box Medical Imaging Figure 1 · source paper

VALIANT: Prompt Instability for Active Learning in Black-Box Medical Imaging

D Mahapatra, B Bozorgtabar, S Roy, I Razzak, M Reyes

Proceedings of the AAAI Conference on Artificial Intelligence 40 (10), 7901-7909 , 2026

[Google Scholar] [Paper]

RetiSEM: Pathway-Aware Causal Modeling for Retinal-Mediated Vascular Mechanisms

I Ullah, I Razzak, S Jameel

[Google Scholar]

Figure 1 from VGS-Decoding: Visual Grounding Score Guided Decoding for Hallucination Mitigation in Medical VLMs Figure 1 · source paper

VGS-Decoding: Visual Grounding Score Guided Decoding for Hallucination Mitigation in Medical VLMs

Govinda Kolli, Adinath Madhavrao Dukre, Behzad Bozorgtabar, Dwarikanath Mahapatra, Imran Razzak

arXiv preprint arXiv:2603.20314 , 2026

[Google Scholar] [Paper] [arXiv]

Figure 2 from TriALS: Triphasic-Aided Liver Lesion Segmentation Benchmark in Non-Contrast CT Figure 2 · source paper

TriALS: Triphasic-Aided Liver Lesion Segmentation Benchmark in Non-Contrast CT

Marawan Elbatel, Mohamed Ghonim, Jiaji Mao, Zhuosheng Lin, Katharina Eckstein, Andrés Martínez Mora, Jonathan Deissler, Maximilian Rokuss, Constantin Ulrich, Zdravko Marinov, Wenhui Deng, Baoxun Li, Huijun Hu, Jun Shen, Mohanad Ghonim, Khadiga Omar Nassar, Mariam Elbakry, Menna Dyab, Amr Muhammad Abdo Salem, Nouran Elghitany, Noha Elghitany, Yi Qin, Xuanqi Huang, Haonan Wang, Shao-Woo Yen, Ahmed Elghamry Saba, Salma Ahmad, Xinyan Fang, Jiahao Zhang, Xiaodi Wang, Xinghua Ma, Gongning Luo, Jessica C. Delmoral, João Manuel R. S. Tavares, Ankan Deria, Adinath Dukre, Yutong Xie, Imran Razzak, Dongwook Kim, Matthew Choi, Hanxiao Zhang, Minghui Zhang, Xin You, Abdul Qayyum, Steven A. Niederer, Moona Mazher, Rachika E. Hamadache, Ricardo Montoya-del-Angel, Robert Martí, Xavier Lladó, Toufiq Musah, Livingstone Eli Ayivor, Enrique Almar-Munoz, Agnes Mayr, Kaouther Mouheb, Esther E. Bron, Stefan Klein, Ahmed Abouelhoda, Amira Adel, Susan Adil Ali, Rainer Stiefelhagen, Klaus H. Maier-Hein, Fabian Isensee, Aya Yassin, Xiaomeng Li

arXiv preprint arXiv:2605.16572 , 2026

[Google Scholar] [Paper] [arXiv]

Figure 2 from StreamAgent: Towards Anticipatory Agents for Streaming Video Understanding Figure 2 · source paper

StreamAgent: Towards Anticipatory Agents for Streaming Video Understanding

Haolin Yang, Feilong Tang, Lingxiao Zhao, Xinlin Zhuang, Yifan Lu, Xiang An, Ming Hu, Xiaofeng Zhang, Abdalla Swikir, Junjun He, Zongyuan Ge, Muhammad Haris Khan, Imran Razzak

EMNLP , 2026

[Google Scholar] [Paper] [arXiv]

Figure 1 from CHIPS: Efficient CLIP Adaptation via Curvature-aware Hybrid Influence-based Data Selection Figure 1 · source paper

CHIPS: Efficient CLIP Adaptation via Curvature-aware Hybrid Influence-based Data Selection

Xinlin Zhuang, Yichen Li, Xiwei Liu, Haolin Yang, Yifan Lu, Ziyun Zou, Yulong Li, Huifa Li, Dongliang Chen, Qinglei Wang, Weiyang Liu, Ying Qian, Jiangming Shi, Imran Razzak

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern … , 2026

[Google Scholar] [Paper] [arXiv]

Exploring the Influence of Lifestyle, Social Health, and Demographic Factors on Psychological Well-being and Engagement Levels

N Arun Menon, MR Islam, MR Bouadjenek, S Jameel, E Segal, I Razzak

The Web Conference 2026, 2026.02. 09.26345884 , 2026

[Google Scholar]

Figure 1 from AsyTO: Asymmetric Temporal Operator for Parameter-Efficient Multivariate Time Series Forecasting Figure 1 · source paper

AsyTO: Asymmetric Temporal Operator for Parameter-Efficient Multivariate Time Series Forecasting

Xiachong Lin, Du Yin, Hao Xue, Wen Hu, Imran Razzak, Arian Prabowo, Matthew Amos, Flora D. Salim

arXiv preprint arXiv:2608.16098 , 2026

[Google Scholar] [Paper] [arXiv]

Rhythm of Opinion: Interpretable Hawkes-Graph Networks for Hierarchical Opinion Propagation

Y Li, Z Lu, P Guo, S Lai, Y Zhang, H Xue, X Liu, Y Li, Z Wu, F Tang, ...

Proceedings of the ACM Web Conference 2026, 4611-4622 , 2026

[Google Scholar]

Figure 1 from TopoBrick: Agentic Topology Sampling of Exogenous Variables for Zero-Shot Building IoT Forecasting Figure 1 · source paper

TopoBrick: Agentic Topology Sampling of Exogenous Variables for Zero-Shot Building IoT Forecasting

Xiachong Lin, Du Yin, Arian Prabowo, Hao Xue, Wen Hu, Imran Razzak, Matthew Amos, Sam Behrens, Flora D. Salim

arXiv preprint arXiv:2607.06349 , 2026

[Google Scholar] [Paper] [arXiv]

Figure 1 from Seeing the Journey: Progressive Multi-modal Fusion Across the Clinical Timeline for Head-and-neck Cancer Prognosis Figure 1 · source paper

Seeing the Journey: Progressive Multi-modal Fusion Across the Clinical Timeline for Head-and-neck Cancer Prognosis

N Dunbayeva, U Khan, I Razzak, Y Xie

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern … , 2026

[Google Scholar] [Paper]

UWFound, A domain-adapted foundation model for hierarchical posterior uveitis diagnosis from ultra-widefield fundus images

R Gu, J Zhao, L Wang, M Hu, L Ju, B Lei, X Zhou, J Wang, M Fu, Z Liu, ...

[Google Scholar]

Lightweight Cross-Lingual Federated Prompt Tuning for Low-Resource Languages

U Azam, I Razzak, S Jameel

Proceedings of the Fifteenth Language Resources and Evaluation Conference … , 2026

[Google Scholar]

Cross-task Calibration for Asynchronous Federated Continual Learning

Y Li, H Wang, H Su, Y Li, X Yi, Y Jiang, C Zhao, I Razzak, R Li

Forty-third International Conference on Machine Learning , 2026

[Google Scholar]

Figure 9 from MVC-Bench: Benchmarking Calibration of Medical Vision-Language Models Figure 9 · source paper

MVC-Bench: Benchmarking Calibration of Medical Vision-Language Models

Ashshak Sharifdeen, Shihab Aaqil Ahamed, Ufaq Khan, Muhammad Akhtar Munir, Sujair Ibrahim, Mohamed Rafeek Mareer Ahamed, Yutong Xie, Imran Razzak, Muhammad Haris Khan

EMNLP , 2026

[Google Scholar] [Paper] [arXiv]

Figure 1 from Data-Centric Sequential Recommendation with Relation-Augmented Generation Figure 1 · source paper

Data-Centric Sequential Recommendation with Relation-Augmented Generation

Y Li, Y Tan, Y Shan, H Wang, R Zhang, I Razzak, R Li

Proceedings of the AAAI Conference on Artificial Intelligence , 2026

[Google Scholar] [Paper]

Figure 1 from SAGE: Sustainable Agent-Guided Expert-tuning for Culturally Attuned Translation in Low-Resource Southeast Asia Figure 1 · source paper

SAGE: Sustainable Agent-Guided Expert-tuning for Culturally Attuned Translation in Low-Resource Southeast Asia

Zhixiang Lu, Chong Zhang, Yulong Li, Angelos Stefanidis, Anh Nguyen, Imran Razzak, Jionglong Su, Zhengyong Jiang

The Web Conference 2026 , 2026

[Google Scholar] [Paper] [arXiv]

Figure 1 from LATA: Laplacian-Assisted Transductive Adaptation for Conformal Uncertainty in Medical VLMs Figure 1 · source paper

LATA: Laplacian-Assisted Transductive Adaptation for Conformal Uncertainty in Medical VLMs

Behzad Bozorgtabar, Dwarikanath Mahapatra, Sudipta Roy, Muzammal Naseer, Imran Razzak, Zongyuan Ge

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern … , 2026

[Google Scholar] [Paper] [arXiv]

Figure 2 from Towards Efficient Medical Reasoning with Minimal Fine-Tuning Data Figure 2 · source paper

Towards Efficient Medical Reasoning with Minimal Fine-Tuning Data

Xinlin Zhuang, Feilong Tang, Haolin Yang, Xiwei Liu, Ming Hu, Huifa Li, Haochen Xue, Junjun He, Zongyuan Ge, Yichen Li, Ying Qian, Imran Razzak

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern … , 2026

[Google Scholar] [Paper] [arXiv]

Fig. 1 from On the Robustness of Temporal Vision-Language Models for Surgical Endoscopy Videos Fig. 1 · source paper

On the Robustness of Temporal Vision-Language Models for Surgical Endoscopy Videos

Darakshan Rashid, Raza Imam, Ufaq Khan, Muhammad Bilal, Shazad Ashraf, Dwarikanath Mahapatra, Mohammad Yaqub, Muhammad Haris Khan, Imran Razzak, Brejesh Lall, Lena Maier-Hein, Yutong Xie

MICCAI , 2026

[Google Scholar] [Paper] [arXiv]

RC-FCL: Combating Asynchronous Concept Drift in Federated Continual Learning via Retrospective Calibration

H Su, Y Mo, Z Zhang, Y Jiang, B Liu, Y Li, I Razzak

Forty-third International Conference on Machine Learning , 2026

[Google Scholar]

CNText2Sign and CNSign: Unified Chinese Sign Language Datasets for Bidirectional Accessibility

Y Li, Y Zhang, F Tang, M Hu, Z Lu, H Xue, J Wu, R Chen, M Zhou, K Dang, ...

Proceedings of the 32nd ACM SIGKDD Conference on Knowledge Discovery and … , 2026

[Google Scholar]

Figure 4 from DocAtlas: Multilingual Document Understanding Across 80+ Languages Figure 4 · source paper

DocAtlas: Multilingual Document Understanding Across 80+ Languages

Ahmed Heakl, Youssef Mohamed, Abdullah Sohail, Rania Elbadry, Ahmed Nassar, Peter W. J. Staar, Fahad Shahbaz Khan, Imran Razzak, Salman Khan

arXiv preprint arXiv:2605.12623 , 2026

[Google Scholar] [Paper] [arXiv]

SA-AVAE: A sex-Aware adversarial variational autoencoder network for biological brain age estimation in IoMT-Enabled multimodal neuroimages

AU Rehman, A Rehman, MU Farooq, T Lee, TM Khan, I Razzak, SM Gho, ...

Internet of Things, 101893 , 2026

[Google Scholar]

Figure 1 from LLM as GNN: Graph Vocabulary Learning for Text-Attributed Graph Foundation Models Figure 1 · source paper

LLM as GNN: Graph Vocabulary Learning for Text-Attributed Graph Foundation Models

Xi Zhu, Haochen Xue, Ziwei Zhao, Wujiang Xu, Jingyuan Huang, Minghao Guo, Qifan Wang, Kaixiong Zhou, Imran Razzak, Yongfeng Zhang

EMNLP , 2026

[Google Scholar] [Paper] [arXiv]

2025

Asthma identification through multimodal data fusion: towards reliable clinical decision support

U Farooq, M Trinh, A Ly, A Ameer, I Razzak, S Singh

Eighteenth International Conference on Machine Vision (ICMV 2025) 14114, 80-87 , 2025

[Google Scholar]

Fig. 2 from How Effectively Can Large Language Models Connect SNP Variants and ECG Phenotypes for Cardiovascular Risk Prediction? Fig. 2 · source paper

How Effectively Can Large Language Models Connect SNP Variants and ECG Phenotypes for Cardiovascular Risk Prediction?

Niranjana Arun Menon, Iqra Farooq, Yulong Li, Sara Ahmed, Yutong Xie, Muhammad Awais, Imran Razzak

International Conference on Bioinformatics and Biomedicine (BIBM) , 2025

[Google Scholar] [Paper] [arXiv]

Polimeme: exploring offensive meme propagation in the Israel-Palestine conflict

P Grover, V Gohil, B Goel, H Veeramani, SB Shah, SR Jain, S Thapa, ...

Companion Proceedings of the ACM on Web Conference 2025, 1969-1978 , 2025

[Google Scholar]

Navigating loss manifolds via rigid body dynamics: A promising avenue for robustness and generalisation

MD Belgoumri, M Reda Bouadjenek, H Hacid, I Razzak, S Aryal

arXiv e-prints, arXiv: 2505.19527 , 2025

[Google Scholar]

Consistent Region-Informed Self-supervised Pretraining

S Atito, J Kittler, I Razzak, M Awais

[Google Scholar]

Addressing the Challenges of Mental Health Conversations with Large Language Models

S Shiwakoti, SB Shah, I Razzak, S Thapa, U Naseem

Companion Proceedings of the ACM on Web Conference 2025, 2597-2602 , 2025

[Google Scholar]

Fig. 4 from Focal Modulation and Bidirectional Feature Fusion Network for Medical Image Segmentation Fig. 4 · source paper

Focal Modulation and Bidirectional Feature Fusion Network for Medical Image Segmentation

Moin Safdar, Shahzaib Iqbal, Mubeen Ghafoor, Tariq M. Khan, Imran Razzak, Thantrira Porntaveetus, Hamid Alinejad-Rokny

arXiv preprint arXiv:2510.20933 , 2025

[Google Scholar] [Paper] [arXiv]

Machine Learning Approaches for Vulnerability Detection in Smart Contracts

C De Baets, B Suleiman, A Chitizadeh, I Razzak

[Google Scholar]

Hierarchical Sequence Iteration for Heterogeneous Question Answering

R Yang, H Xue, I Razzak, H Hacid, FD Salim

arXiv preprint arXiv:2510.20505 , 2025

[Google Scholar]

Fig. 16 from A Survey of Scientific Large Language Models: From Data Foundations to Agent Frontiers Fig. 16 · source paper

A Survey of Scientific Large Language Models: From Data Foundations to Agent Frontiers

Ming Hu, Chenglong Ma, Wei Li, Wanghan Xu, Jiamin Wu, Jucheng Hu, Tianbin Li, Guohang Zhuang, Jiaqi Liu, Yingzhou Lu, Ying Chen, Chaoyang Zhang, Cheng Tan, Jie Ying, Guocheng Wu, Shujian Gao, Pengcheng Chen, Jiashi Lin, Haitao Wu, Lulu Chen, Fengxiang Wang, Yuanyuan Zhang, Xiangyu Zhao, Feilong Tang, Encheng Su, Junzhi Ning, Xinyao Liu, Ye Du, Changkai Ji, Pengfei Jiang, Cheng Tang, Ziyan Huang, Jiyao Liu, Jiaqi Wei, Yuejin Yang, Xiang Zhang, Guangshuai Wang, Yue Yang, Huihui Xu, Ziyang Chen, Yizhou Wang, Chen Tang, Jianyu Wu, Yuchen Ren, Siyuan Yan, Zhonghua Wang, Zhongxing Xu, Shiyan Su, Shangquan Sun, Runkai Zhao, Zhisheng Zhang, Dingkang Yang, Jinjie Wei, Jiaqi Wang, Jiahao Xu, Jiangtao Yan, Wenhao Tang, Hongze Zhu, Yu Liu, Fudi Wang, Yiqing Shen, Yuanfeng Ji, Yanzhou Su, Tong Xie, Hongming Shan, Chun-Mei Feng, Zhi Hou, Diping Song, Lihao Liu, Yanyan Huang, Lequan Yu, Bin Fu, Shujun Wang, Xiaomeng Li, Xiaowei Hu, Yun Gu, Ben Fei, Benyou Wang, Yuewen Cao, Minjie Shen, Jie Xu, Haodong Duan, Fang Yan, Hongxia Hao, Jielan Li, Jiajun Du, Yanbo Wang, Imran Razzak, Zhongying Deng, Chi Zhang, Lijun Wu, Conghui He, Zhaohui Lu, Jinhai Huang, Wenqi Shao, Yihao Liu, Siqi Luo, Yi Xin, Xiaohong Liu, Fenghua Ling, Yuqiang Li, Aoran Wang, Siqi Sun, Qihao Zheng, Nanqing Dong, Tianfan Fu, Dongzhan Zhou, Yan Lu, Wenlong Zhang, Jin Ye, Jianfei Cai, Yirong Chen, Wanli Ouyang, Yu Qiao, Zongyuan Ge, Shixiang Tang, Junjun He, Chunfeng Song, Lei Bai, Bowen Zhou

arXiv preprint arXiv:2508.21148 , 2025

[Google Scholar] [Paper] [arXiv]

Figure 2 from Leveraging Taxonomy and LLMs for Improved Multimodal Hierarchical Classification Figure 2 · source paper

Leveraging Taxonomy and LLMs for Improved Multimodal Hierarchical Classification

Shijing Chen, Mohamed Reda Bouadjenek, Shoaib Jameel, Usman Naseem, Basem Suleiman, Flora D. Salim, Hakim Hacid, Imran Razzak

Proceedings of the 31st International Conference on Computational Linguistics , 2025

[Google Scholar] [Paper] [arXiv]

Fig. 2 from Task Allocation for Autonomous Machines using Computational Intelligence and Deep Reinforcement Learning Fig. 2 · source paper

Task Allocation for Autonomous Machines using Computational Intelligence and Deep Reinforcement Learning

Thanh Thi Nguyen, Quoc Viet Hung Nguyen, Jonathan Kua, Imran Razzak, Dung Nguyen, Saeid Nahavandi

IEEE International Conference on Systems, Man, and Cybernetics , 2025

[Google Scholar] [Paper] [arXiv]

Unifying Image and Video Understanding in One Vision Encoder

F Tang, X An, H Yang, Y Xie, K Yang, M Hu, Z Cheng, X Zhou, Z Ran, ...

[Google Scholar]

Figure 2 from Robust Multimodal Learning for Ophthalmic Disease Grading via Disentangled Representation Figure 2 · source paper

Robust Multimodal Learning for Ophthalmic Disease Grading via Disentangled Representation

Xinkun Wang, Yifang Wang, Senwei Liang, Feilong Tang, Chengzhi Liu, Ming Hu, Chao Hu, Junjun He, Zongyuan Ge, Imran Razzak

MICCAI'25 , 2025

[Google Scholar] [Paper] [arXiv]

Figure 4 from Seeing Far and Clearly: Mitigating Hallucinations in MLLMs with Attention Causal Decoding Figure 4 · source paper

Seeing Far and Clearly: Mitigating Hallucinations in MLLMs with Attention Causal Decoding

Feilong Tang, Chengzhi Liu, Zhongxing Xu, Ming Hu, Zelin Peng, Zhiwei Yang, Jionglong Su, Minquan Lin, Yifan Peng, Xuelian Cheng, Imran Razzak, Zongyuan Ge

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern … , 2025

[Google Scholar] [Paper] [arXiv]

Figure 1 from GAMED: Knowledge Adaptive Multi-Experts Decoupling for Multimodal Fake News Detection Figure 1 · source paper

GAMED: Knowledge Adaptive Multi-Experts Decoupling for Multimodal Fake News Detection

Lingzhi Shen, Yunfei Long, Xiaohao Cai, Imran Razzak, Guanming Chen, Kang Liu, Shoaib Jameel

Proceedings of the Eighteenth ACM International Conference on Web Search and … , 2025

[Google Scholar] [Paper] [arXiv]

DSRS: DELIGHT sequential recommender system

STU Shah, F Khan, S Yamani, R Alturki, F Gazzawe, MI Razzak

Engineering Applications of Artificial Intelligence 142, 109936 , 2025

[Google Scholar]

PAL: Probing Audio Encoders via LLMs--A Study of Information Transfer from Audio Encoders to LLMs

T Alex, W Suharitdamrong, S Atito, A Mustafa, PJB Jackson, I Razzak, ...

arXiv e-prints, arXiv: 2506.10423 , 2025

[Google Scholar]

Fig. 4 from Electric Vehicle Charging Load Modeling: A Survey, Trends, Challenges and Opportunities Fig. 4 · source paper

Electric Vehicle Charging Load Modeling: A Survey, Trends, Challenges and Opportunities

Xiachong Lin, Arian Prabowo, Imran Razzak, Hao Xue, Matthew Amos, Sam Behrens, Flora D. Salim

arXiv preprint arXiv:2511.03741 , 2025

[Google Scholar] [Paper] [arXiv]

Figure 1 from Flick: Few Labels Text Classification using K-Aware Intermediate Learning in Multi-Task Low-Resource Languages Figure 1 · source paper

Flick: Few Labels Text Classification using K-Aware Intermediate Learning in Multi-Task Low-Resource Languages

Ali Almutairi, Abdullah Alsuhaibani, Shoaib Jameel, Aditya Joshi, Gelareh Mohammadi, Imran Razzak

arXiv preprint arXiv:2506.10292 , 2025

[Google Scholar] [Paper] [arXiv]

-Bench: A Comprehensive Study of Multimodal LLMs for Scientific Discovery with Benchmarking

L Yan, X Jiang, J Ma, Y Liu, T Bian, Q Wang, A Basu, Y Rong, T Xu, P Wu, ...

[Google Scholar]

Figure 2 from PG-SAM: Prior-Guided SAM with Medical for Multi-organ Segmentation Figure 2 · source paper

PG-SAM: Prior-Guided SAM with Medical for Multi-organ Segmentation

Yiheng Zhong, Zihong Luo, Chengzhi Liu, Feilong Tang, Zelin Peng, Ming Hu, Yingzhen Hu, Jionglong Su, Zongyuan Ge, Imran Razzak

IEEE, International Conference on Bioinformatics and Biomedicine , 2025

[Google Scholar] [Paper] [arXiv]

KG-UQ: Knowledge Graph-Based Uncertainty Quantification for Long Text in Large Language Models

Y Yuan, L Tao, H Lu, M Khushi, I Razzak, M Dras, J Yang, U Naseem

Companion Proceedings of the ACM on Web Conference 2025, 2071-2077 , 2025

[Google Scholar]

Jionglong Su, Zongyuan Ge, Imran Razzak, and Eran Segal.[nd]

Y Li, X Liu, F Tang, M Hu

Decoding Causal Structure: End-to-End Mediation Pathways Inference.([nd]) , 2025

[Google Scholar]

Kg-irag: A knowledge graph-based iterative retrieval-augmented generation framework for temporal reasoning

R Yang, H Xue, I Razzak, H Hacid, FD Salim

arXiv e-prints, arXiv: 2503.14234 , 2025

[Google Scholar]

Fig. 1 from Few-Label Multimodal Modeling of SNP Variants and ECG Phenotypes Using Large Language Models for Cardiovascular Risk Stratification Fig. 1 · source paper

Few-Label Multimodal Modeling of SNP Variants and ECG Phenotypes Using Large Language Models for Cardiovascular Risk Stratification

Niranjana Arun Menon, Yulong Li, Iqra Farooq, Sara Ahmed, Muhammad Awais, Imran Razzak

[Google Scholar] [Paper] [arXiv]

Figure 3 from AIM 2025 Rip Current Segmentation (RipSeg) Challenge Report Figure 3 · source paper

AIM 2025 Rip Current Segmentation (RipSeg) Challenge Report

Andrei Dumitriu, Florin Miron, Florin Tatui, Radu Tudor Ionescu, Radu Timofte, Aakash Ralhan, Florin-Alexandru Vasluianu, Shenyang Qian, Mitchell Harley, Imran Razzak, Yang Song, Pu Luo, Yumei Li, Cong Xu, Jinming Chai, Kexin Zhang, Licheng Jiao, Lingling Li, Siqi Yu, Chao Zhang, Kehuan Song, Fang Liu, Puhua Chen, Xu Liu, Jin Hu, Jinyang Xu, Biao Liu

Proceedings of the IEEE/CVF International Conference on Computer Vision … , 2025

[Google Scholar] [Paper] [arXiv]

Fig. 1 from Stain-Aware Augmentation and Hybrid Loss for Domain-Generalized Atypical Mitosis Classification Fig. 1 · source paper

Stain-Aware Augmentation and Hybrid Loss for Domain-Generalized Atypical Mitosis Classification

A Dukre, A Deria, Y Xie, I Razzak

International Conference on Medical Image Computing and Computer-Assisted … , 2025

[Google Scholar] [Paper]

Improving Visual Question Answering Through a Topic-Aware Selection Layer

ND Huynh, MR Bouadjenek, I Razzak, H Hacid, S Aryal

Available at SSRN 5385867 , 2025

[Google Scholar]

Fig. 1 from Less but Better: Parameter-Efficient Fine-Tuning of Large Language Models for Personality Detection Fig. 1 · source paper

Less but Better: Parameter-Efficient Fine-Tuning of Large Language Models for Personality Detection

Lingzhi Shen, Yunfei Long, Xiaohao Cai, Guanming Chen, Imran Razzak, Shoaib Jameel

International Joint Conference on Neural Networks , 2025

[Google Scholar] [Paper] [arXiv]

Figure 2 from MSWAL: 3D Multi-class Segmentation of Whole Abdominal Lesions Dataset Figure 2 · source paper

MSWAL: 3D Multi-class Segmentation of Whole Abdominal Lesions Dataset

Zhaodong Wu, Qiaochu Zhao, Ming Hu, Yulong Li, Haochen Xue, Kang Dang, Zhengyong Jiang, Angelos Stefanidis, Qiufeng Wang, Imran Razzak, Zongyuan Ge, Junjun He, Yu Qiao, Zhong Zheng, Feilong Tang, Jionglong Su

MICCAI'25 , 2025

[Google Scholar] [Paper] [arXiv]

A Comprehensive Survey of Multimodal LLMs for Scientific Discovery

L Yan, X Jiang, J Ma, Y Liu, T Bian, Q Wang, A Basu, Y Rong, T Xu, P Wu, ...

1st Workshop on VLM4RWD@ NeurIPS 2025 , 2025

[Google Scholar]

Dual-Stage Value-Guided Inference with Margin-Based Reward Adjustment for Fast and Faithful VLM Captioning

Ankan Deria, Adinath Madhavrao Dukre, Feilong Tang, Sara Atito, Sudipta Roy, Muhammad Awais, Muhammad Haris Khan, Imran Razzak

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Lesion Segmentation in Surgical and Diagnostic Applications: MICCAI 2022 Challenges, CuRIOUS 2022, KiPA 2022 and MELA 2022, Held in Conjunction with MICCAI 2022, Singapore …

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2022

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Fusion of CNN and Sparse Representation for Threat Estimation Near Power Lines and Poles Infrastructure Using Aerial Stereo Imagery

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Technological Forecasting and Social Change , 2021

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Figure 1 from A Comprehensive Survey on Word Representation Models: From Classical to State-Of-The-Art Word Representation Language Models Figure 1 · source paper

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Usman Naseem, Imran Razzak, Shah Khalid Khan, Mukesh Prasad

Transactions on Asian and Low-Resource Language Information Processing 20 (5 … , 2021

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K Iqra, N Saeeda, R Imran, I Muhammad

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Fig. 2 from A smart healthcare framework for detection and monitoring of COVID-19 using IoT and cloud computing Fig. 2 · source paper

A smart healthcare framework for detection and monitoring of COVID-19 using IoT and cloud computing

N Nasser, Q Emad-ul-Haq, M Imran, A Ali, I Razzak, A Al-Helali

Neural Computing and Applications, 1-15 , 2021

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Fig. 1 from BioALBERT: A Simple and Effective Pre-trained Language Model for Biomedical Named Entity Recognition Fig. 1 · source paper

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Usman Naseem, Matloob Khushi, Vinay Reddy, Sakthivel Rajendran, Imran Razzak, Jinman Kim

2021 International Joint Conference on Neural Networks (IJCNN), 1-7 , 2021

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The role of unmanned aerial vehicles and mmWave in 5G: Recent advances and challenges

SK Khan, U Naseem, H Siraj, I Razzak, M Imran

Transactions on Emerging Telecommunications Technologies 32 (7), e4241 , 2021

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Federated Intrusion Detection in Blockchain-Based Smart Transportation Systems

M Abdel-Basset, N Moustafa, H Hawash, I Razzak, KM Sallam, ...

IEEE Transactions on Intelligent Transportation Systems , 2021

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Handwriting dynamics assessment using deep neural network for early identification of Parkinson’s disease

I Kamran, S Naz, I Razzak, M Imran

Future Generation Computer Systems 117, 234-244 , 2021

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An Improved Dense V-Network for Fast and Precise Segmentation of Left Atrium

A Kausar, I Razzak, I Shapiai, R Alshammari

2021 International Joint Conference on Neural Networks (IJCNN), 1-8 , 2021

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MA Uddin, M Ayaz, A Mansour

Aggoune, Ali 928 , 2021

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UCBVis: understanding customer behavior sequences with visual interactive system

MR Islam, I Razzak, X Wang, P Tilocca, G Xu

2021 International Joint Conference on Neural Networks (IJCNN), 1-8 , 2021

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Patch-CNN: Deep learning for logo detection and brand recognition

W Yousaf, A Umar, SH Shirazi, Z Khan, I Razzak, M Zaka

Journal of Intelligent & Fuzzy Systems 40 (3), 3849-3862 , 2021

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A Blockchain-Based Emergency Message Transmission Protocol for Cooperative VANET

M Ahmed, N Moustafa, AFMS Akhter, I Razzak, E Surid, A Anwar, ...

IEEE Transactions on Intelligent Transportation Systems , 2021

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Anomaly detection framework to prevent DDoS attack in fog empowered IoT networks

DK Sharma, T Dhankhar, G Agrawal, SK Singh, D Gupta, J Nebhen, ...

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Understanding Information Spreading Mechanisms During COVID-19 Pandemic by Analyzing the Impact of Tweet Text and User Features for Retweet Prediction

Pervaiz Iqbal Khan, Imran Razzak, Andreas Dengel, Sheraz Ahmed

arXiv preprint arXiv:2106.07344 , 2021

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SD Kumar, D Tarun, A Gaurav, SS Kumar, G Deepak, N Jamel, R Imran

Ad Hoc Networks 121 , 2021

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DAAB: Deep Authorship Attribution in Bengali

AK Dipongkor, MS Islam, H Kayesh, MS Hossain, A Anwar, KA Rahman, ...

2021 International Joint Conference on Neural Networks (IJCNN), 1-9 , 2021

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U Naseem, I Razzak, M Khushi, PW Eklund, J Kim

IEEE transactions on computational social systems 8 (4), 1003-1015 , 2021

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Privacy-Preserving Federated Machine Learning Solutions for Critical Energy Infrastructures

I Razzak, G Xu, MK Khan

IEEE Transactions on Industrial Informatics 18 (5), 3449-3451 , 2021

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Saeeda Naz, and Imran Razzak. Efficient skew detection and correction in scanned document images through clustering of probabilistic hough transforms

R Ahmad

Pattern recognition letters 152, 93-99 , 2021

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Applying deep neural networks for user intention identification: A. Khattak et al.

A Khattak, A Habib, MZ Asghar, F Subhan, I Razzak, A Habib

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Efficient skew detection and correction in scanned document images through clustering of probabilistic hough transforms

R Ahmad, S Naz, I Razzak

Pattern recognition letters 152, 93-99 , 2021

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Depressionnet: learning multi-modalities with user post summarization for depression detection on social media

H Zogan, I Razzak, S Jameel, G Xu

proceedings of the 44th international ACM SIGIR conference on research and … , 2021

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A Qayyum, I Razzak

Structural, Syntactic, and Statistical Pattern Recognition: Joint IAPR … , 2021

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Hot-Spot zone detection to tackle COVID19 spread by fusing the traditional machine learning and deep learning approaches of computer vision

MZ Khan, MUG Khan, T Saba, I Razzak, A Rehman, SA Bahaj

Ieee Access 9, 100040-100049 , 2021

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SPAD+: An Improved Probabilistic Anomaly Detector based on One-dimensional Histograms

S Aryal, AA Baniya, I Razzak, KC Santosh

2021 International Joint Conference on Neural Networks (IJCNN), 1-7 , 2021

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Image-based virtual try-on system: a survey of deep learning-based methods

H Ghodhbani, M Neji, AM Alimi

University of Sfax, National Engineering School of Sfax (ENIS), Sfax , 2021

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Depressionnet: learning multi-modalities with user post summarization for depression detection on social media

H Zogan, I Razzak, S Jameel, G Xu

proceedings of the 44th international ACM SIGIR conference on research and … , 2021

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A fine-grained access control and security approach for intelligent vehicular transport in 6g communication system

Z Zhou, A Gaurav, BB Gupta, MD Lytras, I Razzak

IEEE transactions on intelligent transportation systems , 2021

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RipDet: A fast and lightweight deep neural network for rip currents detection

AH Rashid, I Razzak, M Tanveer, A Robles-Kelly

2021 international joint conference on neural networks (IJCNN), 1-6 , 2021

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Adaptive and Priority-based Resource Allocation for Efficient Resources Utilization in Mobile Edge Computing

Z Sharif, LT Jung, I Razzak, M Alazab

IEEE Internet of Things Journal , 2021

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A survey of pre-processing techniques to improve short-text quality: a case study on hate speech detection on twitter

U Naseem, I Razzak, PW Eklund

Multimedia Tools and Applications 80 (28), 35239-35266 , 2021

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Predicting brain age using machine learning algorithms: A comprehensive evaluation

I Beheshti, MA Ganaie, V Paliwal, A Rastogi, I Razzak, M Tanveer

IEEE Journal of Biomedical and Health Informatics 26 (4), 1432-1440 , 2021

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2020

One-Class Support Tensor Machines with Bounded Hinge Loss Function for Anomaly Detection

I Razzak, T Khan

International Joint Conference on Neural Networks , 2020

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Skin lesion analysis toward accurate detection of melanoma using multistage fully connected residual network

I Razzak, G Shoukat, S Naz, TM Khan

2020 International Joint Conference on Neural Networks (IJCNN), 1-8 , 2020

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Deep optical character recognition: a case of Pashto language

S Zahoor, S Naz, NH Khan, MI Razzak

Journal of Electronic Imaging 29 (2), 023002-023002 , 2020

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Figure 1 from Artificial Intelligence in the Battle against Coronavirus (COVID-19): A Survey and Future Research Directions Figure 1 · source paper

Artificial Intelligence in the Battle against Coronavirus (COVID-19): A Survey and Future Research Directions

Thanh Thi Nguyen, Quoc Viet Hung Nguyen, Dung Tien Nguyen, Samuel Yang, Peter W. Eklund, Thien Huynh-The, Thanh Tam Nguyen, Quoc-Viet Pham, Imran Razzak, Edbert B. Hsu

arXiv preprint arXiv:2008.07343 , 2020

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Multipath Deep Shallow Convolutional Networks for Large Scale Plant Species Identification in Wild Image

SA Riaz, S Naz, I Razzak

International Joint Conference on Neural Networks, 1-7 , 2020

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End-to-End Analysis for Text Detection and Recognition in Natural Scene Images

A Alnefaie, D Gupta, MH Bhuyan, I Razzak, PK Gupta, M Prasad

International Joint Conference on Neural Networks , 2020

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Saeeda Naz, Muhammad Imran Razzak, Faiza Akram, and Muhammad Imran. A deep learning-based framework for automatic brain tumors classification using transfer learning

A Rehman

Circuits, Systems, and Signal Processing 39 (2), 757-775 , 2020

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Deep OCR for Arabic script‐based language like Pastho

S Naz, NH Khan, S Zahoor, MI Razzak

Expert systems 37 (5), e12565 , 2020

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Fig. 1 from BioALBERT: A Simple and Effective Pre-trained Language Model for Biomedical Named Entity Recognition 1 Fig. 1 · source paper

BioALBERT: A Simple and Effective Pre-trained Language Model for Biomedical Named Entity Recognition 1

N Usman, K Matloob, R Vinay, R Sakthivel, R Imran, K Jinman

arXiv preprint arXiv:2009.09223 , 2020

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Cooperative Evolution Multiclass Support Matrix Machines

I Razzak

International Joint Conference on Neural Networks, 1-6 , 2020

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Fig. 3 from A deep learning-based framework for automatic brain tumors classification using transfer learning Fig. 3 · source paper

A deep learning-based framework for automatic brain tumors classification using transfer learning

A Rehman, S Naz, MI Razzak, F Akram, M Imran

Circuits, Systems, and Signal Processing 39, 757-775 , 2020

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MHIVis: Visual Analytics for Exploring Mental Illness of Policyholders in Life Insurance Industry

MR Islam, S Liu, I Razzak, MA Kabir, PT Xianzhi Wang§, G Xu

International Conference on Behavioural and Social Computing , 2020

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Randomized nonlinear one-class support vector machines with bounded loss function to detect of outliers for large scale IoT data

I Razzak, K Zafar, M Imran, G Xu

Future Generation Computer Systems 112, 715-723 , 2020

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Fig. 1 from RipNet: A lightweight one-class deep neural network for the identification of RIP currents Fig. 1 · source paper

RipNet: A lightweight one-class deep neural network for the identification of RIP currents

AH Rashid, I Razzak, M Tanveer, A Robles-Kelly

International Conference on Neural Information Processing , 2020

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Unconstrained Arabic Scene Text Analysis in Wild Images using Concurrent Invariant Points

S Ahmed, S Naz, I Razzak, M Prasad

International Joint Conference on Neural Networks (IJCNN), 1-6 , 2020

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Integrating joint feature selection into subspace learning: A formulation of 2DPCA for outliers robust feature selection

I Razzak, RA Saris, M Blumenstein, G Xu

Neural Networks 121, 441-451 , 2020

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Fig. 1 from Improving Personal Health Mention Detection on Twitter Using Permutation Based Word Representation Learning Fig. 1 · source paper

Improving Personal Health Mention Detection on Twitter Using Permutation Based Word Representation Learning

P Khan, I Razzak, A Dengel, S Ahmed

International Conference on Neural Information Processing , 2020

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Unit-vise: Deep Shallow Unit-Vise Residual Neural Networks with Transition Layer For Expert Level Skin Cancer Classification

I Razzak, S Naz

IEEE/ACM Transactions on Computational Biology and Bioinformatics , 2020

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Deep Analysis of Handwritten Notes for Early Diagnosis of Neurological Disorders

I Razzak, I Kamran, S Naz

International Joint Conference on Neural Networks, 1-6 , 2020

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Cursive Script Text Recognition in Natural Scene Images

SB Ahmed, MI Razzak, R Yusof

ISBN 978-981-15-1297-1 , 2020

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Transformer based deep intelligent contextual embedding for twitter sentiment analysis

U Naseem, I Razzak, K Musial, M Imran

Future Generation Computer Systems 113, 58-69 , 2020

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Towards Improved Deep Contextual Embedding for the identification of Irony and Sarcasm

U Naseem, I Razzak, P Eklund, K Musial

International Joint Conference on Neural Networks , 2020

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Fig. 1 from Hybrid deep shallow network for assessment of depression using electroencephalogram signals Fig. 1 · source paper

Hybrid deep shallow network for assessment of depression using electroencephalogram signals

A Qayyum, I Razzak, W Mumtaz

International conference on neural information processing, 245-257 , 2020

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A Rehman, S Naz, MI Razzak, F Akram, M Imran

Circuits, Syst Signal Pro 39 (2), 757-75 , 2020

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2019

Saeeda Naz, Muhammad Imran Razzak

S Saeed

An application of deep learning in character recognition: an overview … , 2019

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Saeeda Naz, Muhammad Imran Razzak, and Rubiyah Bte Yusof. A novel dataset for english-arabic scene text recognition (eastr)-42k and its evaluation using invariant feature …

SB Ahmed

IEEE access 7, 19801-19820 , 2019

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Text in a wild and its challenges

SB Ahmed, MI Razzak, R Yusof

Cursive Script Text Recognition in Natural Scene Images: Arabic Text … , 2019

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Multi-Class Support Matrix Machines by Maximizing the Inter-class Margin for Single Trial EEG Classification

MI Razzak, M Blumenstein, G Xu

IEEE Transactions on Neural Systems & Rehabilitation Engineering, 1-10 , 2019

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A Novel Dataset for English-Arabic Scene Text Recognition (EASTR)-42K and Its Evaluation It Using Invariant Feature Extraction on Detected Extremal Regions

S Bin Ahmed, S Naz, MI Razzak, RB Yusof

IEEE ACCESS 7, 19801-19820 , 2019

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Deep Context-Aware Embedding for Abusive and Hate Speech detection on Twitter.

U Naseem, I Razzak, IA Hameed

Aust. J. Intell. Inf. Process. Syst. 15 (3), 69-76 , 2019

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Evaluation of handwritten Urdu text by integration of MNIST dataset learning experience

SB Ahmed, IA Hameed, S Naz, MI Razzak, R Yusof

IEEE access 7, 153566-153578 , 2019

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Deep context-aware embedding for abusive and hate speech detection on twitter, Aust

N Usman, I Razzak, IA Hameed

J. Intell. Inf. Process. Syst 15 (3), 69-76 , 2019

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Enhanced Heartbeat Graph for Emerging Event Detection on Twitter using Time Series Networks

S Zafar, AR Ayaz, M Imran, Razzak, S Abida, X Guandong

Expert Systems with Applications , 2019

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Event detection in Twitter stream using weighted dynamic heartbeat graph approach [application notes]

Z Saeed, RA Abbasi, MI Razzak, G Xu

IEEE Computational Intelligence Magazine 14 (3), 29-38 , 2019

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A novel dataset for English-Arabic scene text recognition (EASTR)-42K and its evaluation using invariant feature extraction on detected extremal regions

SB Ahmed, S Naz, MI Razzak, RB Yusof

IEEE access 7, 19801-19820 , 2019

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Deep autoencoder-decoder framework for semantic segmentation of brain tumor

S Naz

Aust. J. Intell. Inf. Process. Syst. , 2019

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Progress in cursive wild text recognition

SB Ahmed, MI Razzak, R Yusof

Cursive Script Text Recognition in Natural Scene Images: Arabic Text … , 2019

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Saeeda Naz, Salahuddin Swati, and Muhammad Imran Razzak. Handwritten urdu character recognition using one-dimensional blstm classifier

SB Ahmed

Neural Computing and Applications 31 (4), 1143-1151 , 2019

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Foundations of Cursive Scene Text

SB Ahmed, MI Razzak, R Yusof

Cursive Script Text Recognition in Natural Scene Images: Arabic Text … , 2019

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Deep Auto Encoder-Decoder Semantic Segmentation Framework for Brain Tumor

R Arshia, N Saeeda, U Naseem, I Razzak, H Ibrahim A

26th International Conference on Neural Information Processing (ICONIP), 1-11 , 2019

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Cursive handwritten text recognition using bi-directional LSTMs: a case study on Urdu handwriting

S Hassan, A Irfan, A Mirza, I Siddiqi

2019 International conference on deep learning and machine learning in … , 2019

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Automatic visual features for writer identification: a deep learning approach

A Rehman, S Naz, MI Razzak, IA Hameed

IEEE access 7, 17149-17157 , 2019

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Arabic cursive text recognition from natural scene images

SB Ahmed, S Naz, MI Razzak, R Yusof

Applied Sciences 9 (2), 236 , 2019

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What's Happening around the World? A Survey and Framework on Event Detection Techniques on Twitter

Z Saeed, RA Abbasi, M Onaiza, S Abida, MI Razzak, D Ali, NR Aljohani, ...

Journal of Grid Computing, 1-26 , 2019

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Brain tumor classification using gray level co-occurrence matrix and convolutional neural network. IJEIS (Indonesian Journal of Electronics and Instrumentation Systems) 8 (2 …

W Widhiarso, Y Yohannes, C Prakarsah

Expert Systems with Applications 24, 534-545 , 2019

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Robust sparse representation and multiclass support matrix machines for the classification of motor imagery EEG signals

I Razzak, IA Hameed, G Xu

IEEE journal of translational engineering in health and medicine 7, 2000508 , 2019

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Arabic Scene Text Acquisition and Statistics

SB Ahmed, MI Razzak, R Yusof

Cursive Script Text Recognition in Natural Scene Images: Arabic Text … , 2019

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Nuclear Norm Minimization in Frequency Domain for Complex Noise

MI Razzak, U Naseem, H Naz, Saeeda, Hameed, Ibrahim

International Conference on Neural Information Processing (ICONIP) , 2019

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Fig. 3 from A Deep Learning-Based Framework for Automatic Brain Tumors Classification Using Transfer Learning Fig. 3 · source paper

A Deep Learning-Based Framework for Automatic Brain Tumors Classification Using Transfer Learning

A Rahman, S Naz, MI Razzak, F Akram, M Imran

Circuits, Systems, and Signal Processing, 1-19 , 2019

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Methods and Algorithm

SB Ahmed, MI Razzak, R Yusof

Cursive Script Text Recognition in Natural Scene Images: Arabic Text … , 2019

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Sub-sampling approach for unconstrained arabic scene text analysis by implicit segmentation based deep learning classifier

SB Ahmed, Z Malik, MI Razzak, R Yusof

Global Journal of Computer Science and Technology , 2019

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2018

Robust 2D Joint Sparse Principle Component Analysis with F-norm Minimization for Sparse Modelling: 2D-RJSPCA

MI Razzak, RA Saris, G Xu

International Joint Conference on Neural Networks (IJCNN) , 2018

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Saeeda Naz, Muhammad Imran Razzak, Arif Iqbal Umar, Ahmad Zaib." Automated Pathology Image Analysis

SH Shirazi

Soft Computing Based Medical Image Analysis, 13-29 , 2018

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Text Stream to Temporal Network - A Dynamic Heartbeat Graph to Detect Emerging Events on Twitter

Z Saeed, RA Abbasi, A Sadaf, MI Razzak, G Xu

The Pacific-Asia Conference on Knowledge Discovery and Data Mining (PAKDD) , 2018

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Efficient brain tumor segmentation with multiscale two-pathway-group conventional neural networks

MI Razzak, M Imran, G Xu

IEEE journal of biomedical and health informatics 23 (5), 1911-1919 , 2018

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Saeeda Naz, and Ahmad Zaib

MI Razzak

Deep learning for medical image processing: Overview, challenges and the … , 2018

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Robust 2D Joint Sparse Principal Component Analysis With F-Norm Minimization For Sparse Modelling: 2D-RJSPCA

G Xu

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STATISTICAL FEATURES EXTRACTION FOR CHARACTER RECOGNITION USING RECURRENT NEURAL NETWORK.

S Naz, AI Umar, SB Ahmed, R Ahmad, SH Shirazi, MI Razzak, A Zaman

Pakistan Journal of Statistics 34 (1), 47 , 2018

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2017

Saeeda Naz, Muhammad Imran Razzak, Ahmad Zaib: Extreme learning machine based microscopic red blood cells classification

SH Shirazi, AI Umar, NU Haq

Cluster Computing, Suppl (Suppl), 1-11 , 2017

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Transactions on Large-Scale Data- and Knowledge-Centered Systems-Special Issue

RA Abdelkader Hameurlain, Josef Küng, Roland R. Wagner, Sherif Sakr, Imran ...

Transactions on Large-Scale Data- and Knowledge-Centered Systems , 2017

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International Conference on Behavioral, Economic, Socio-cultural Computing, BESC 2017,

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BESC, Krakow, Poland, October 16-18, 2017. IEEE 2017, ISBN , 2017

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4th International Conference on Behavioral, Economic, and Socio-Cultural Computing, BESC 2017

Y Demazeau, J Gao, G Xu

IEEE , 2017

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Handwritten Urdu Character Recognition using 1-Dimensional BLSTM Classifier

Saad Bin Ahmed, Saeeda Naz, Salahuddin Swati, Muhammad Imran Razzak

Neural Computing and Applications , 2017

[Google Scholar] [arXiv]

UCOM offline dataset-an Urdu handwritten dataset generation

S Bin Ahmed, S Naz, S Swati, I Razzak, AI Umar, A Ali Khan

Deakin University , 2017

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Transactions on Large-Scale Data-and Knowledge-Centered Systems XXXV.: Transactions on Large-Scale Data-and Knowledge-Centered Systems

A Hameurlain, J Kung, R Wagner, S Sakr, I Razzak, A Riyad

Springer , 2017

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Urdu Nastaliq recognition using convolutional–recursive deep learning

S Naz, AI Umar, R Ahmad, I Siddiqi, SB Ahmed, MI Razzak, F Shafait

Neurocomputing 243, 80-87 , 2017

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Microscopic blood smear segmentation and classification using deep contour aware CNN and extreme machine learning

M Imran Razzak, S Naz

Proceedings of the IEEE Conference on Computer Vision and Pattern … , 2017

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Saeeda Naz

MI Razzak, AI Umar, SB Ahmed, SH Shirazi

Ahmad Zaib, 1-30 , 2017

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2016

A novel method for scanning electron microscope image segmentation and its application to blood cell analysis

SH Shirazi, AI Umar, S Naz, SF Shirazi, MI Razzak

J. Appl. Environ. Biol. Sci 6 (3S), 90-95 , 2016

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Content-based image retrieval using texture color shape and region

SH Shirazi, NUA Khan, AI Umar, MR Naz, B AlHaqbani

International Journal of Advanced Computer Science and Applications 7 (1 … , 2016

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Balinese character recognition using bidirectional LSTM classifier

SB Ahmed, S Naz, MI Razzak, R Yusof, TM Breuel

Advances in Machine Learning and Signal Processing: Proceedings of MALSIP … , 2016

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Zoning features and 2DLSTM for Urdu text-line recognition

S Naz, SB Ahmed, R Ahmad, MI Razzak

Procedia Computer Science 96, 16-22 , 2016

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Offline cursive Urdu-Nastaliq script recognition using multidimensional recurrent neural networks

S Naz, AI Umar, R Ahmad, SB Ahmed, SH Shirazi, I Siddiqi, MI Razzak

Neurocomputing 177, 228-241 , 2016

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The minutiae based latent fingerprint recognition system

SB Ahmed, MI Razzak, B Alhaqbani

Proceedings of the International Conference on Internet of things and Cloud … , 2016

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Efficient leukocyte segmentation and recognition in peripheral blood image

SH Shirazi, AI Umar, S Naz, MI Razzak

Technology and Health Care 24 (3), 335-347 , 2016

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Lexicon reduction for Urdu/Arabic script based character recognition: a multilingual OCR

S Naz, AI Umar, MI Razzak

Mehran University Research Journal of Engineering & Technology 35 (2), 209-216 , 2016

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Noor ul Amin Khan, Arif Iqbal Umar, Muhammad Imran Razzak, Saeeda Naz and Bandar AlHaqbani," Content-Based Image Retrieval Using Texture Color Shape and Region,"

SH Shirazi

International Journal of Advanced Computer Science and Applications 7 (1 … , 2016

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Fig. 4 from Evaluation of cursive and non-cursive scripts using recurrent neural networks Fig. 4 · source paper

Evaluation of cursive and non-cursive scripts using recurrent neural networks

SB Ahmed, S Naz, MI Razzak, SF Rashid, MZ Afzal, TM Breuel

Neural Computing and Applications 27 (3), 603-613 , 2016

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Fig. 1 from Segmentation techniques for recognition of Arabic-like scripts: A comprehensive survey Fig. 1 · source paper

Segmentation techniques for recognition of Arabic-like scripts: A comprehensive survey

S Naz, AI Umar, SH Shirazi, SB Ahmed, MI Razzak, I Siddiqi

Education and Information Technologies 21 (5), 1225-1241 , 2016

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Fig. 7 from Urdu Nasta’liq text recognition using implicit segmentation based on multi-dimensional long short term memory neural networks Fig. 7 · source paper

Urdu Nasta’liq text recognition using implicit segmentation based on multi-dimensional long short term memory neural networks

S Naz, AI Umar, R Ahmed, MI Razzak, SF Rashid, F Shafait

SpringerPlus 5 (1), 2010 , 2016

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Saeeda Naz

SH Shirazi, AI Umar, NU Haq

Noor ul Amin Khan, Muhammad Imran Razzak and Bandar AlHaqbani,“Content-Based … , 2016

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An ontology-based framework aiming to support cardiac rehabilitation program

M Waqialla, MI Razzak

Procedia Computer Science 96, 23-32 , 2016

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2015

Adaptive filtering algorithms for channel equalization in wireless communication

I Razzak

Indian Journal of Science and Technology 8 (17) , 2015

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Fig. 1 from Urdu Nasta’liq text recognition system based on multi-dimensional recurrent neural network and statistical features Fig. 1 · source paper

Urdu Nasta’liq text recognition system based on multi-dimensional recurrent neural network and statistical features

S Naz, AI Umar, R Ahmad, SB Ahmed, SH Shirazi, MI Razzak

Neural Computing and Applications, 1-13 , 2015

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Automatic detection and classification of malarial parasite

MI Razzak

International Journal of Biometrics and Bioinformatics (IJBB) 9 (1), 1-12 , 2015

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A hybrid approach for NER system for scarce resourced language-URDU: Integrating n-gram with rules and gazetteers

S Naz, AI Umar, MI Razzak

Mehran University Research Journal of Engineering & Technology 34 (4), 349 , 2015

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Accurate Microscopic Red Blood Cell Image Enhancement and Segmentation.

SH Shirazi, AI Umar, N ul Haq, S Naz, MI Razzak

IWBBIO (1), 183-192 , 2015

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Automatic detection of malarial parasite using microscopic blood images

MI Razzak, B Alhaqbani

Journal of Medical Imaging and Health Informatics 5 (3), 591-598 , 2015

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Malarial parasite classification using recurrent neural network

MI Razzak

Int J Image Process 9, 69 , 2015

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Discovering diabetes complications: an ontology based model

T Daghistani, R Al Shammari, MI Razzak

Acta Informatica Medica 23 (6), 385 , 2015

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2014

The optical character recognition of Urdu-like cursive scripts

S Naz, K Hayat, MI Razzak, MW Anwar, SA Madani, SU Khan

Pattern Recognition 47 (3), 1229-1248 , 2014

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Challenges in baseline detection of Arabic script based languages

S Naz, MI Razzak, K Hayat, MW Anwar, SZ Khan

Intelligent Systems for Science and Information, 181-196 , 2014

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K Arai, J Asmuss, MA Laouadi, G Lauks, N Buniyamin, GD Magoulas, ...

Intelligent Systems for Science and Information: Extended and Selected … , 2014

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Middle Eastern Character Recognition

A Belaı̈d, MI Razzak

Handbook of Document Image Processing and Recognition, 427-457 , 2014

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An Ocr system for printed Nasta'liq script: A segmentation based approach

S Naz, AI Umar, SB Ahmed, SH Shirazi, MI Razzak, I Siddiqi

17th IEEE International Multi Topic Conference 2014, 255-259 , 2014

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2013

Arabic script based language character recognition: Nasta'liq vs Naskh analysis

S Naz, K Hayat, MI Razzak, MW Anwar, H Akbar

2013 World Congress on Computer and Information Technology (WCCIT), 1-7 , 2013

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Face recognition using multilayered discriminant analysis

MI Razzak, KS Alghathbar, MK Khan

US Patent App. 13/310,763 , 2013

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Challenges in baseline detection of cursive script languages

S Naz, K Hayat, MW Anwar, H Akbar, MI Razzak

2013 Science and Information Conference, 551-556 , 2013

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2012

Bio-inspired multilayered and multilanguage Arabic script character recognition system

MI Razzak, SA Husain, AA Mirza, MK Khan

International Journal of Innovative Computing, Information and Control 8 (4 … , 2012

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Efficient distributed face recognition in wireless sensor network

MI Razzak, BA Elmogy, MK Khan, K Alghathbar

International Journal of Innovative Computing, Information and Control 8 (4 … , 2012

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2011

Co-occurrence matrix features for fingerprint verification

MS Khalil, MK Khan, MI Razzak

2011 IEEE International Conference on Anti-Counterfeiting, Security and … , 2011

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Energy efficient distributed face recognition in wireless sensor network

MI Razzak, MK Khan, K Alghathbar, JH Park

Wireless Personal Communications 60 (3), 571-582 , 2011

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Fingerprint classification using PCA LDA L-LDA and BPN

MS Khalil, ML Razzak, MK Khan

Information-An International Interdisciplinary Journal 10, 3313-3323 , 2011

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Multimodal biometric recognition based on fusion of low resolution face and finger veins

MI Razzak, MK Khan, K Alghathbar, R Yusof

Int. J. Innov. Comput. Info. Control 7 (8), 4479-4689 , 2011

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Ghost character recognition theory and Arabic script based languages character recognition

MI Razzak, AA Mirza

Przeglad Elektrotechniczny 87 (11), 234-238 , 2011

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2010

Collaborative image compression in wireless sensor networks

MI Razzak, SA Hussain, AA Minhas, M Sher

International journal of computational cognition 8 (1) , 2010

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Multimodal face and finger veins biometric authentication of Scientific Research and Essays

MI Razzak, R Yusof, M Khalid

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Face recognition using layered linear discriminant analysis and small subspace

MI Razzak, MK Khan, K Alghathbar, R Yousaf

2010 10th IEEE international conference on computer and information … , 2010

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Attacking Websites During Crises: Analysis and Solutions

MI Razzak, MK Khan, K Alghathbar

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Bio-inspired hybrid face recognition system for small sample size and large dataset

MI Razzak, MK Khan, K Alghathbar

2010 Sixth International Conference on Intelligent Information Hiding and … , 2010

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Locally baseline detection for online Arabic script based languages character recognition

MI Razzak, M Sher, SA Hussain

International Journal of the Physical Sciences 5 (7), 955-959 , 2010

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Multimodal face and finger veins biometric authentication

MI Razzak, R Yusof, M Khalid

Scientific Research and Essays 5 (17), 2529-2534 , 2010

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HMM and fuzzy logic: a hybrid approach for online Urdu script-based languages’ character recognition

MI Razzak, F Anwar, SA Husain, A Belaid, M Sher

Knowledge-Based Systems 23 (8), 914-923 , 2010

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2009

Towards security and enrichment of the IP multimedia subsystem based multiparty conference

ZS Khan, M Sher, K Rashid, I Razzak

Proceedings of the International MultiConference of Engineers and Computer … , 2009

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Multi-font numerals recognition for Urdu script based languages

MI Razzak, SA Hussain, A Belaïd, M Sher

International Journal of Recent Trends in Engineering , 2009

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Numeral recognition for Urdu script in unconstrained environment

MI Razzak, SA Hussain, M Sher

Emerging Technologies, 2009. ICET 2009. International Conference on, 44-47 , 2009

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Energy efficient image compression in wireless sensor networks

SA Hussain, MI Razzak, AA Minhas, M Sher, GR Tahir

International Journal of Recent Trends in Engineering 2 (1), 117 , 2009

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Combining offline and online preprocessing for online urdu character recognition

MI Razzak, SA Hussain, M Sher, ZS Khan

Proceedings of the international multiconference of engineers and computer … , 2009

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Undated

Energy Efficient Distributed Face Recognition in Wireless Sensor Network

K Imran

Wireless Personal Communications , 0

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Automated red blood cell segmentation and classification of red cell disorders using extreme learning machine and kernel weighted fuzzy local information c-means

MI Razzak, S Naz

CVPR17 , 0

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SCALA: Semi-supervised Cascade for Left Atrial Scar, Cavity, and Multi-Structure CT Segmentation

AA Rege, AM Dukre, SS Shah, I Razzak

CARE 2026: Comprehensive Analysis of REal-world medical images-heart and liver , 0

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T-DICE: Irony and sarcasm identification using a Transformer-based Deep Intelligent Contextual Embedding with Attention-based BiLSTM

U Naseem, I Razzak, P Eklund, K Musial

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Voxels or Millimetres? A Controlled Comparison of Lesion-Size Filtering for Native-Space Stroke Segmentation

G Kolli, AM Dukre, I Razzak

Stroke and neurovascular diseases Workshop on Imaging and Treatment CHallenges , 0

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IEEE GLOBECOM 2021 Reviewers

S Aboagye, A Al-Dulaimi, I Ali, R Ansari, J Ashwinth, R Banerji, R Batth, ...

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Research Track Chairs: Behavioral and Economic Computing

T He, H Dawid, K Golub, E Lapina-Kratasyuk, K Pietrowicz, W He, X Li, ...

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Guest Editorial: Data Analytics for Public Health Care.......... S. Mohammed, T.-H. Kim, R.-S. Chang, and C. Ramos 1409

T Chen, X Liu, R Feng, W Wang, C Yuan, W Lu, H He, H Gao, H Ying, ...

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BEAT: Boundary-aware Efficient Anatomy-Transfer for Multimodal Mitral Valve Segmentation

AA Rege, AM Dukre, SS Shah, I Razzak

The 1st MICCAI Workshop on Medical World Models , 0

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Software Engineering Automation: A Natural Language Perspective (NLP-SEA)

S Anwar, N Ikram, M Saadatmand, A Rauf, M Ramzan, I Razzak

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ITCEM 2024

F Colace, KT Chui, K Psannis, I Razzak, MT Ahvanooey, A Bruno, ...

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24th IEEE International Conference on Data Mining Workshops

Y He, W Hamidouche, I Razzak, H Hacid, M Panov

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BEAST: Leveraging Contrastive Learning and Unsupervised Sentence Embeddings for Improved Drug Abuse Detection

U Naseem, S Shiwakoti, SB Shah, S Thapa, W Wang, I Razzak

The First International Workshop on Transformative Insights in Multifaceted … , 0

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LEG-DINO: Local-Evidence-Governed DINO Fusion for Reliable Dense Prediction in Medical Image Segmentation

TM Khan, T Porntaveetus, H Alinejad-Rokny, S Iqbal, M Usman, I Razzak

Available at SSRN 7299983 , 0

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SPECIAL ISSUE ON COMPUTATIONAL SOCIAL SYSTEMS FOR COVID-19 EMERGENCY MANAGEMENT AND BEYOND

JJ Zhang, FY Wang, Y Yuan, G Xu, H Liu, W Gao, S Jameel, I Razzak, ...

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Large-Scale Data-and Knowledge-Centered Systems XXIV LNCS 9510

A Hameurlain, J Küng, R Wagner

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Multilanguage Nasta’liq Script Printed Ligature Recognition for Arabic Script base Languages

SB Ahmed, S Naz, MI Razzak

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ICRSS 2022

F Colace, B Gupta, KT Chui, I Razzak, MT Ahvanooey, A Bruno, ...

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C -AFCL: Cross-task Calibration for Asynchronous Federated Continual Learning

Y Li, H Wang, H Su, Y Li, X Yi, Y Jiang, A Swikir, I Razzak, R Li

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Native-Resolution Multi-Sequence Cardiac MRI Segmentation for Accurate LVEF and Scar Quantification

AM Dukre, I Razzak

The 1st MICCAI Workshop on Medical World Models , 0

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Perturbation-enabled Deep Federated Learning for Preserving Internet of Things-based Social Networks

B Turnbull, MI Razzak, S Salim

ACM Transactions on Multimedia Computing, Communications, and Applications , 0

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Session Chairs

M Murshed, F Sohel, B Lovell, H Laga, D Chai, L Pattersson, J Zhou, ...

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A Self-Assessing Anatomical World Model for Unified Multi-Domain Ultrasound Biometry

AM Dukre, I Razzak

The 1st MICCAI Workshop on Medical World Models , 0

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An Intelligent Risk Management Framework for Monitoring Vehicular Engine Health

N Moustafa, I Razzak

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Saeeda Naz, and Ahmad Zaib. 2017

MI Razzak

Deep learning for medical image processing: Overview, challenges and future … , 0

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