Wenbin Zhang - RankMe

178 papers A* 18A 14B 10C 1Misc 3Journal 88Unranked 44

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	ADTDroid: Leveraging API description and TCP based active learning for Android malware detection. Inf. Softw. Technol. Zhen Liu, Ruoyu Wang, Wenbin Zhang
2026	J	`jnl`	Bifrost: Steering Strategic Trajectories to Bridge Contextual Gaps for Self-Improving Agents. CoRR Quan M. Tran, Zhuo Huang, Wenbin Zhang, Bo Han, Koji Yatani, Masashi Sugiyama, Tongliang Liu
2026	J	`jnl`	Design, Modeling and Evaluation of Lattice Structure Pneumatic Actuators (LSPAs) for Soft Wrist Rehabilitation Robot. IEEE Trans. Biomed. Eng. Jianwei Lai, Aiguo Song, Ye Lu, Peiyang Wu, Wenbin Zhang, Ye Li, Jiajin Wang, Ting Wu, Xiangshan Wei, Hongxing Wang
2026	A*	`conf`	Fair Graph Learning with Limited Sensitive Attribute Information. AAAI Zichong Wang, Jie Yang, Jun Zhuang, Puqing Jiang, Mingzhe Chen, Ye Hu, Wenbin Zhang
2026	A*	`conf`	GUIC: Certified Graph Unlearning with Individual Fairness Guarantees. AAAI Zichong Wang, Tongliang Liu, Wenbin Zhang
2026	A*	`conf`	Realistic Curriculum Reinforcement Learning for Autonomous and Sustainable Marine Vessel Navigation. AAAI Xiaocai Zhang, Zhe Xiao, Maohan Liang, Tao Liu, Haijiang Li, Wenbin Zhang
2026	J	`jnl`	Realistic Curriculum Reinforcement Learning for Autonomous and Sustainable Marine Vessel Navigation. CoRR Xiaocai Zhang, Zhe Xiao, Maohan Liang, Tao Liu, Haijiang Li, Wenbin Zhang
2026	J	`jnl`	Towards Fair Machine Learning Software: Understanding and Addressing Model Bias Through Counterfactual Thinking. AI Ethics Zichong Wang, Zhou Yang, David Lo, Wenbin Zhang
2026	J	`jnl`	When Should a Robot Think? Resource-Aware Reasoning via Reinforcement Learning for Embodied Robotic Decision-Making. CoRR Jun Liu, Pu Zhao, Zhenglun Kong, Xuan Shen, Peiyan Dong, Fan Yang, Lin Cui, Hao Tang, Geng Yuan, Wei Niu, Wenbin Zhang, Xue Lin, Gaowen Liu, Yanzhi Wang, Dong Huang
2025	A	`conf`	AI Fairness Beyond Complete Demographics: Current Achievements and Future Directions. ECAI Zichong Wang, Zhipeng Yin, Roland H. C. Yap, Wenbin Zhang
2025	J	`jnl`	AI Fairness Beyond Complete Demographics: Current Achievements and Future Directions. CoRR Zichong Wang, Zhipeng Yin, Roland H. C. Yap, Wenbin Zhang
2025	A	`conf`	AMCR: A Framework for Assessing and Mitigating Copyright Risks in Generative Models. ECAI Zhipeng Yin, Zichong Wang, Avash Palikhe, Zhen Liu, Jun Liu, Wenbin Zhang
2025	J	`jnl`	AMCR: A Framework for Assessing and Mitigating Copyright Risks in Generative Models. CoRR Zhipeng Yin, Zichong Wang, Avash Palikhe, Zhen Liu, Jun Liu, Wenbin Zhang
2025	J	`jnl`	Attention Mechanism-Based Cognition-Level Scene Understanding. Inf. Xuejiao Tang, Wenbin Zhang
2025	—	`conf`	Bridging Neural Networks and Dynamic Time Warping for Adaptive Time Series Classification. ECML/PKDD (7) Jintao Qu, Zichong Wang, Chenhao Wu, Wenbin Zhang, Dongmei Li
2025	J	`jnl`	Bridging Neural Networks and Dynamic Time Warping for Adaptive Time Series Classification. CoRR Jintao Qu, Zichong Wang, Chenhao Wu, Wenbin Zhang
2025	J	`jnl`	Datasets for Fairness in Language Models: An In-Depth Survey. CoRR Jiale Zhang, Zichong Wang, Avash Palikhe, Zhipeng Yin, Wenbin Zhang
2025	J	`jnl`	Digital Forensics in the Age of Large Language Models. CoRR Zhipeng Yin, Zichong Wang, Weifeng Xu, Jun Zhuang, Pallab Mozumder, Antoinette Smith, Wenbin Zhang
2025	—	`conf`	Exploring the Vulnerability of the Content Moderation Guardrail in Large Language Models via Intent Manipulation. EMNLP (Findings) Jun Zhuang, Hai Jin, Ye Zhang, Zhengjian Kang, Wenbin Zhang, Gaby G. Dagher, Haohan Wang
2025	J	`jnl`	Exploring the Vulnerability of the Content Moderation Guardrail in Large Language Models via Intent Manipulation. CoRR Jun Zhuang, Hai Jin, Ye Zhang, Zhengjian Kang, Wenbin Zhang, Gaby G. Dagher, Haohan Wang
2025	A*	`conf`	FDGen: A Fairness-Aware Graph Generation Model. ICML Zichong Wang, Wenbin Zhang
2025	A*	`conf`	Fair Graph U-Net: A Fair Graph Learning Framework Integrating Group and Individual Awareness. AAAI Zichong Wang, Zhibo Chu, Thang Viet Doan, Shaowei Wang, Yongkai Wu, Vasile Palade, Wenbin Zhang
2025	J	`jnl`	Fairness amidst non-IID graph data: A literature review. AI Mag. Wenbin Zhang, Shuigeng Zhou, Toby Walsh, Jeremy C. Weiss
2025	A	`conf`	Fairness in Language Models: A Tutorial. CIKM Zichong Wang, Avash Palikhe, Zhipeng Yin, Wenbin Zhang
2025	—	`conf`	Fairness-Aware Graph Representation Learning with Limited Demographic Information. ECML/PKDD (1) Zichong Wang, Zhipeng Yin, Liping Yang, Jun Zhuang, Rui Yu, Qingzhao Kong, Wenbin Zhang
2025	J	`jnl`	Fairness-Aware Graph Representation Learning with Limited Demographic Information. CoRR Zichong Wang, Zhipeng Yin, Liping Yang, Jun Zhuang, Rui Yu, Qingzhao Kong, Wenbin Zhang
2025	J	`jnl`	Forecasting leading economic indicators in the US from financial news using multi-task learning. Soft Comput. Josh Jia-Ching Ying, Chia-Chen Liu, Vincent S. Tseng, Wenbin Zhang, Ji Zhang
2025	J	`jnl`	Generative AI in Depth: A Survey of Recent Advances, Model Variants, and Real-World Applications. CoRR Shamim Yazdani, Akansha Singh, Nripsuta Saxena, Zichong Wang, Avash Palikhe, Deng Pan, Umapada Pal, Jie Yang, Wenbin Zhang
2025	J	`jnl`	Generative AI in depth: A survey of recent advances, model variants, and real-world applications. J. Big Data Shamim Yazdani, Akansha Singh, Nripsuta Saxena, Zichong Wang, Avash Palikhe, Deng Pan, Umapada Pal, Jie Yang, Wenbin Zhang
2025	J	`jnl`	History, development, and principles of large language models: an introductory survey. AI Ethics Zichong Wang, Zhibo Chu, Thang Viet Doan, Shiwen Ni, Min Yang, Wenbin Zhang
2025	J	`jnl`	Hybrid Particle Swarm Optimization for Fast and Reliable Parameter Extraction in Thermoreflectance. CoRR Bingjia Xiao, Tao Chen, Wenbin Zhang, Xin Qian, Puqing Jiang
2025	B	`conf`	Impact-Aware Retrieval Defense: Mitigating Word Substitution Ranking Attacks for Enhanced Stability. IEEE Big Data Junping Liu, Xiaolong Li, Xinrong Hu, Wangli Yang, Wanqing Li, Jie Yang, Wenbin Zhang, Yi Guo
2025	J	`jnl`	LDCDroid: Learning data drift characteristics for handling the model aging problem in Android malware detection. Comput. Secur. Zhen Liu, Ruoyu Wang, Bitao Peng, Lingyu Qiu, Qingqing Gan, Changji Wang, Wenbin Zhang
2025	J	`jnl`	Multilayer Brain Networks for Enhanced Decoding of Natural Hand Movements and Kinematic Parameters. IEEE Trans. Biomed. Eng. Zelin Gao, Baoguo Xu, Xin Wang, Wenbin Zhang, Jingyu Ping, Huijun Li, Aiguo Song
2025	A*	`conf`	Negative-Free Graph Contrastive Learning for Recommendation. ICDM Junping Liu, Mingchao Yu, Xinrong Hu, Jie Yang, Yi Guo, Wanqing Li, Wenbin Zhang
2025	J	`jnl`	Online and Customizable Fairness-aware Learning. Knowl. Inf. Syst. Wenbin Zhang
2025	A*	`conf`	Preserving AUC Fairness in Learning with Noisy Protected Groups. ICML Mingyang Wu, Li Lin, Wenbin Zhang, Xin Wang, Zhenhuan Yang, Shu Hu
2025	J	`jnl`	Preserving AUC Fairness in Learning with Noisy Protected Groups. CoRR Mingyang Wu, Li Lin, Wenbin Zhang, Xin Wang, Zhenhuan Yang, Shu Hu
2025	J	`jnl`	RCR-Router: Efficient Role-Aware Context Routing for Multi-Agent LLM Systems with Structured Memory. CoRR Jun Liu, Zhenglun Kong, Changdi Yang, Fan Yang, Tianqi Li, Peiyan Dong, Joannah Nanjekye, Hao Tang, Geng Yuan, Wei Niu, Wenbin Zhang, Pu Zhao, Xue Lin, Dong Huang, Yanzhi Wang
2025	—	`conf`	Redefining Fairness: A Multi-dimensional Perspective and Integrated Evaluation Framework. ECML/PKDD (1) Zichong Wang, Zhipeng Yin, Zhen Liu, Roland H. C. Yap, Xiaocai Zhang, Shu Hu, Wenbin Zhang
2025	Misc	`conf`	RoRA: Efficient Fine-Tuning of LLM with Reliability Optimization for Rank Adaptation. ICASSP Jun Liu, Zhenglun Kong, Peiyan Dong, Xuan Shen, Pu Zhao, Hao Tang, Geng Yuan, Wei Niu, Wenbin Zhang, Xue Lin, Dong Huang, Yanzhi Wang
2025	J	`jnl`	RoRA: Efficient Fine-Tuning of LLM with Reliability Optimization for Rank Adaptation. CoRR Jun Liu, Zhenglun Kong, Peiyan Dong, Changdi Yang, Xuan Shen, Pu Zhao, Hao Tang, Geng Yuan, Wei Niu, Wenbin Zhang, Xue Lin, Dong Huang, Yanzhi Wang
2025	J	`jnl`	Structured Agent Distillation for Large Language Model. CoRR Jun Liu, Zhenglun Kong, Peiyan Dong, Changdi Yang, Tianqi Li, Hao Tang, Geng Yuan, Wei Niu, Wenbin Zhang, Pu Zhao, Xue Lin, Dong Huang, Yanzhi Wang
2025	J	`jnl`	TSLA: A Task-Specific Learning Adaptation for Semantic Segmentation on Autonomous Vehicles Platform. CoRR Jun Liu, Zhenglun Kong, Pu Zhao, Weihao Zeng, Hao Tang, Xuan Shen, Changdi Yang, Wenbin Zhang, Geng Yuan, Wei Niu, Xue Lin, Yanzhi Wang
2025	J	`jnl`	TSLA: A Task-Specific Learning Adaptation for Semantic Segmentation on Autonomous Vehicles Platform. IEEE Trans. Comput. Aided Des. Integr. Circuits Syst. Jun Liu, Zhenglun Kong, Pu Zhao, Weihao Zeng, Hao Tang, Xuan Shen, Changdi Yang, Wenbin Zhang, Geng Yuan, Wei Niu, Xue Lin, Yanzhi Wang
2025	J	`jnl`	The neighborhood rough set based on division-mining-fusion strategy. Appl. Soft Comput. Conghao Yan, Qingzhao Kong, Wenbin Zhang
2025	A*	`conf`	Toward Adaptive Large Language Models Structured Pruning via Hybrid-grained Weight Importance Assessment. AAAI Jun Liu, Zhenglun Kong, Pu Zhao, Changdi Yang, Xuan Shen, Hao Tang, Geng Yuan, Wei Niu, Wenbin Zhang, Xue Lin, Dong Huang, Yanzhi Wang
2025	A	`conf`	Towards Fair Graph Learning without Demographic Information. AISTATS Zichong Wang, Nhat Hoang, Xingyu Zhang, Kevin Bello, Xiangliang Zhang, Sundararaja Sitharama Iyengar, Wenbin Zhang
2025	A*	`conf`	Towards Fairness with Limited Demographics via Disentangled Learning. IJCAI Zichong Wang, Anqi Wu, Nuno Moniz, Shu Hu, Bart P. Knijnenburg, Xingquan Zhu, Wenbin Zhang
2025	J	`jnl`	Towards Transparent AI: A Survey on Explainable Language Models. CoRR Avash Palikhe, Zichong Wang, Zhipeng Yin, Rui Guo, Qiang Duan, Jie Yang, Wenbin Zhang
2025	J	`jnl`	Towards Transparent AI: A Survey on Explainable Large Language Models. CoRR Avash Palikhe, Zhenyu Yu, Zichong Wang, Wenbin Zhang
2025	J	`jnl`	Towards fair graph-based machine learning software: unveiling and mitigating graph model bias. AI Ethics Zichong Wang, Zhipeng Yin, Xingyu Zhang, Yuying Zhang, Xudong He, Shaowei Wang, Houbing Song, Liping Yang, Wenbin Zhang
2025	A	`conf`	Uncertain Boundaries: A Tutorial on Copyright Challenges and Cross-Disciplinary Solutions for Generative AI. CIKM Zhipeng Yin, Zichong Wang, Avash Palikhe, Wenbin Zhang
2025	J	`jnl`	Uncertain Boundaries: Multidisciplinary Approaches to Copyright Issues in Generative AI. SIGKDD Explor. Archer Amon, Zhipeng Yin, Zichong Wang, Avash Palikhe, Tongjia Yu, Wenbin Zhang
2025	J	`jnl`	Uncovering the Vulnerability of Large Language Models in the Financial Domain via Risk Concealment. CoRR Gang Cheng, Hai Jin, Wenbin Zhang, Haohan Wang, Jun Zhuang
2025	J	`jnl`	Unveiling and mitigating bias in ride-hailing pricing for equitable policy making. AI Ethics Nripsuta Ani Saxena, Wenbin Zhang, Cyrus Shahabi
2025	J	`jnl`	ZS4C: Zero-Shot Synthesis of Compilable Code for Incomplete Code Snippets Using LLMs. ACM Trans. Softw. Eng. Methodol. Azmain Kabir, Shaowei Wang, Yuan Tian, Tse-Hsun (Peter) Chen, Muhammad Asaduzzaman, Wenbin Zhang
2025	A*	`conf`	fairGNN-WOD: Fair Graph Learning Without Complete Demographics. IJCAI Zichong Wang, Fang Liu, Shimei Pan, Jun Liu, Fahad Saeed, Meikang Qiu, Wenbin Zhang
2025	A	`conf`	ℓ SDM Zhong Chen, Yi He, Di Wu, Wenbin Zhang, Zhiqiang Deng
2024	—	`conf`	A Graph-Based Approach for Discovering Evidence Relationships Across Multiple Devices in Group Crimes. QRS Companion Daniel Addai, Sarfraz Shaikh, Eric Xu, Wenbin Zhang, Weifeng Xu
2024	J	`jnl`	AI fairness in practice: Paradigm, challenges, and prospects. AI Mag. Wenbin Zhang
2024	J	`jnl`	AI-Driven Healthcare: A Survey on Ensuring Fairness and Mitigating Bias. CoRR Sribala Vidyadhari Chinta, Zichong Wang, Xingyu Zhang, Thang Doan Viet, Ayesha Kashif, Monique Antoinette Smith, Wenbin Zhang
2024	—	`conf`	Accessible Health Screening Using Body Fat Estimation by Image Segmentation. ICDM (Workshops) Zhipeng Yin, Sameeksha Agarwal, Ayesha Kashif, Matthew Gonzalez, Zichong Wang, Suqing Liu, Zhen Liu, Yanzhao Wu, Ian Stockwell, Weifeng Xu, Puqing Jiang, Xingyu Zhang, Wenbin Zhang
2024	—	`conf`	Advancing Graph Counterfactual Fairness Through Fair Representation Learning. ECML/PKDD (7) Zichong Wang, Zhibo Chu, Ronald Blanco, Zhong Chen, Shu-Ching Chen, Wenbin Zhang
2024	—	`conf`	Backdoor Attacks Against Low-Earth Orbit Satellite Fingerprinting. INFOCOM (Workshops) Tianya Zhao, Ningning Wang, Yanzhao Wu, Wenbin Zhang, Xuyu Wang
2024	A*	`conf`	BadFusion: 2D-Oriented Backdoor Attacks against 3D Object Detection. IJCAI Saket S. Chaturvedi, Lan Zhang, Wenbin Zhang, Pan He, Xiaoyong Yuan
2024	J	`jnl`	BadFusion: 2D-Oriented Backdoor Attacks against 3D Object Detection. CoRR Saket S. Chaturvedi, Lan Zhang, Wenbin Zhang, Pan He, Xiaoyong Yuan
2024	J	`jnl`	Brain Tumor Classification on MRI in Light of Molecular Markers. CoRR Jun Liu, Geng Yuan, Weihao Zeng, Hao Tang, Wenbin Zhang, Xue Lin, Xiaolin Xu, Dong Huang, Yanzhi Wang
2024	—	`conf`	Effective Diversity Optimizations for High Accuracy Deep Ensembles. CogMI Hongpeng Jin, Maryam Akhavan Aghdam, Sai Nath Chowdary Medikonduru, Wenqi Wei, Xuyu Wang, Wenbin Zhang, Yanzhao Wu
2024	J	`jnl`	FG-SMOTE: Towards Fair Node Classification with Graph Neural Network. SIGKDD Explor. Zichong Wang, Zhipeng Yin, Yuying Zhang, Liping Yang, Tingting Zhang, Niki Pissinou, Yu Cai, Shu Hu, Yun Li, Liang Zhao, Wenbin Zhang
2024	J	`jnl`	FairAIED: Navigating Fairness, Bias, and Ethics in Educational AI Applications. CoRR Sribala Vidyadhari Chinta, Zichong Wang, Zhipeng Yin, Nhat Hoang, Matthew Gonzalez, Tai Le Quy, Wenbin Zhang
2024	J	`jnl`	Fairness Definitions in Language Models Explained. CoRR Thang Viet Doan, Zhibo Chu, Zichong Wang, Wenbin Zhang
2024	A	`conf`	Fairness in Large Language Models in Three Hours. CIKM Thang Viet Doan, Zichong Wang, Nhat Nguyen Minh Hoang, Wenbin Zhang
2024	J	`jnl`	Fairness in Large Language Models in Three Hours. CoRR Thang Doan Viet, Zichong Wang, Minh Nhat Nguyen, Wenbin Zhang
2024	J	`jnl`	Fairness in Large Language Models: A Taxonomic Survey. CoRR Zhibo Chu, Zichong Wang, Wenbin Zhang
2024	J	`jnl`	Fairness in Large Language Models: A Taxonomic Survey. SIGKDD Explor. Zhibo Chu, Zichong Wang, Wenbin Zhang
2024	A*	`conf`	Fairness with Censorship: Bridging the Gap between Fairness Research and Real-World Deployment. AAAI Wenbin Zhang
2024	A	`conf`	FedCAP: Robust Federated Learning via Customized Aggregation and Personalization. ACSAC Youpeng Li, Xinda Wang, Fuxun Yu, Lichao Sun, Wenbin Zhang, Xuyu Wang
2024	J	`jnl`	FedCAP: Robust Federated Learning via Customized Aggregation and Personalization. CoRR Youpeng Li, Xinda Wang, Fuxun Yu, Lichao Sun, Wenbin Zhang, Xuyu Wang
2024	J	`jnl`	Graph Fairness via Authentic Counterfactuals: Tackling Structural and Causal Challenges. SIGKDD Explor. Zichong Wang, Zhipeng Yin, Yuying Zhang, Liping Yang, Tingting Zhang, Niki Pissinou, Yu Cai, Shu Hu, Yun Li, Liang Zhao, Wenbin Zhang
2024	A	`conf`	Group Fairness with Individual and Censorship Constraints. ECAI Zichong Wang, Wenbin Zhang
2024	J	`jnl`	History, Development, and Principles of Large Language Models-An Introductory Survey. CoRR Zhibo Chu, Shiwen Ni, Zichong Wang, Xi Feng, Chengming Li, Xiping Hu, Ruifeng Xu, Min Yang, Wenbin Zhang
2024	—	`conf`	Improving Fairness in Machine Learning Software via Counterfactual Fairness Thinking. ICSE Companion Zhipeng Yin, Zichong Wang, Wenbin Zhang
2024	—	`conf`	Individual Fairness with Group Awareness Under Uncertainty. ECML/PKDD (5) Zichong Wang, Jocelyn Dzuong, Xiaoyong Yuan, Zhong Chen, Yanzhao Wu, Xin Yao, Wenbin Zhang
2024	A	`conf`	Individual Fairness with Group Constraints in Graph Neural Networks. ECAI Zichong Wang, David Ulloa, Tongjia Yu, Raju Rangaswami, Roland H. C. Yap, Wenbin Zhang
2024	J	`jnl`	Integrating structured and unstructured data for predicting emergency severity: an association and predictive study using transformer-based natural language processing models. BMC Medical Informatics Decis. Mak. Xingyu Zhang, Yanshan Wang, Yun Jiang, Charissa B. Pacella, Wenbin Zhang
2024	J	`jnl`	Multi-modal knowledge graph inference via media convergence and logic rule. CAAI Trans. Intell. Technol. Feng Lin, Dongmei Li, Wenbin Zhang, Dongsheng Shi, Yuanzhou Jiao, Qianzhong Chen, Yiying Lin, Wentao Zhu
2024	—	`conf`	On the Efficiency of Privacy Attacks in Federated Learning. CVPR Workshops Nawrin Tabassum, Ka-Ho Chow, Xuyu Wang, Wenbin Zhang, Yanzhao Wu
2024	J	`jnl`	On the Efficiency of Privacy Attacks in Federated Learning. CoRR Nawrin Tabassum, Ka-Ho Chow, Xuyu Wang, Wenbin Zhang, Yanzhao Wu
2024	—	`conf`	Personal Voice Activity Detection With Ultra-Short Reference Speech. APSIPA Longting Xu, Mingjun Zhang, Wenbin Zhang, Tianyi Wang, Jiawei Yin, Yu Gao
2024	J	`jnl`	SeGDroid: An Android malware detection method based on sensitive function call graph learning. Expert Syst. Appl. Zhen Liu, Ruoyu Wang, Nathalie Japkowicz, Heitor Murilo Gomes, Bitao Peng, Wenbin Zhang
2024	J	`jnl`	Spatial Fairness: The Case for its Importance, Limitations of Existing Work, and Guidelines for Future Research. CoRR Nripsuta Ani Saxena, Wenbin Zhang, Cyrus Shahabi
2024	J	`jnl`	Toward fair graph neural networks via real counterfactual samples. Knowl. Inf. Syst. Zichong Wang, Meikang Qiu, Min Chen, Malek Ben Salem, Xin Yao, Wenbin Zhang
2024	A	`conf`	Transforming Digital Forensics with Large Language Models: Unlocking Automation, Insights, and Justice. CIKM Eric Xu, Wenbin Zhang, Weifeng Xu
2024	J	`jnl`	Two kinds of average approximation accuracy. CAAI Trans. Intell. Technol. Qingzhao Kong, Wanting Wang, Dongxiao Zhang, Wenbin Zhang
2024	J	`jnl`	Uncertain Boundaries: Multidisciplinary Approaches to Copyright Issues in Generative AI. CoRR Jocelyn Dzuong, Zichong Wang, Wenbin Zhang
2024	—	`conf`	Visual malware classification and detection method based on convolutional neural network. DSC Hua Huang, Hua Sheng, Xingwang Han, Wenbin Zhang, Zilin Zhao
2024	J	`jnl`	ZS4C: Zero-Shot Synthesis of Compilable Code for Incomplete Code Snippets using ChatGPT. CoRR Azmain Kabir, Shaowei Wang, Yuan Tian, Tse-Hsun Chen, Muhammad Asaduzzaman, Wenbin Zhang
2024	B	`conf`	ℓ1, 2-Norm and CUR Decomposition based Sparse Online Active Learning for Data Streams with Streaming Features. IEEE Big Data Zhong Chen, Yi He, Di Wu, Liudong Zuo, Keren Li, Wenbin Zhang, Zhiqiang Deng
2023	J	`jnl`	A Deep Neural Network-Based Communication Failure Prediction Scheme in 5G RAN. IEEE Trans. Netw. Serv. Manag. Mohammad Ariful Islam, Hisham Siddique, Wenbin Zhang, Israat Haque
2023	—	`conf`	A Scalable Real-time Semantic Segmentation Network for Autonomous Driving. AMC-SME Jun Liu, Chao Wu, Geng Yuan, Wei Niu, Wenbin Zhang, Houbing Herbert Song
2023	A*	`conf`	Censored Fairness through Awareness. AAAI Wenbin Zhang, Tina Hernandez-Boussard, Jeremy C. Weiss
2023	B	`conf`	DRLO: Deep Representation Learning for Large Scale Off-track Satellite Remote Sensing Data. IEEE Big Data Xin Huang, Chenxi Wang, Wenbin Zhang, Sanjay Purushotham, Jianwu Wang
2023	—	`conf`	Exploring Approaches for Teaching Cybersecurity and AI for K-12. ICDM (Workshops) Yu Cai, Drew Youngstrom, Wenbin Zhang
2023	—	`conf`	Exploring Gender Differences in EEG-Based Emotion Recognition with Haptic Vibration. ICDL Xin Wang, Baoguo Xu, Jiajin Wang, Wenbin Zhang, Aiguo Song
2023	—	`conf`	FG ECML/PKDD (2) Zichong Wang, Charles Wallace, Albert Bifet, Xin Yao, Wenbin Zhang
2023	J	`jnl`	Fair Decision-making Under Uncertainty. CoRR Wenbin Zhang, Jeremy C. Weiss
2023	B	`conf`	Fair-DSP: Fair Dynamic Survival Prediction on Longitudinal Electronic Health Record. DaWaK Xin Huang, Xiangyang Meng, Ni Zhao, Wenbin Zhang, Jianwu Wang
2023	J	`jnl`	Fairness with censorship and group constraints. Knowl. Inf. Syst. Wenbin Zhang, Jeremy C. Weiss
2023	J	`jnl`	Individual Fairness Guarantee in Learning with Censorship. CoRR Wenbin Zhang, Juyong Kim, Zichong Wang, Pradeep Ravikumar, Jeremy C. Weiss
2023	A	`conf`	Individual Fairness Under Uncertainty. ECAI Wenbin Zhang, Zichong Wang, Juyong Kim, Cheng Cheng, Thomas Oommen, Pradeep Ravikumar, Jeremy C. Weiss
2023	A	`conf`	Missed Opportunities in Fair AI. SDM Nripsuta Ani Saxena, Wenbin Zhang, Cyrus Shahabi
2023	A*	`conf`	Mitigating Multisource Biases in Graph Neural Networks via Real Counterfactual Samples. ICDM Zichong Wang, Giri Narasimhan, Xin Yao, Wenbin Zhang
2023	—	`conf`	Optimization and Improvement of Fake News Detection using Voting Technique for Societal Benefit. ICDM (Workshops) Sribala Vidyadhari Chinta, Karen Fernandes, Ningxi Cheng, Jordan Fernandez, Shamim Yazdani, Zhipeng Yin, Zichong Wang, Xuyu Wang, Weifeng Xu, Jun Liu, Chong Siang Yew, Puqing Jiang, Wenbin Zhang
2023	—	`conf`	Preventing Discriminatory Decision-making in Evolving Data Streams. FAccT Zichong Wang, Nripsuta Saxena, Tongjia Yu, Sneha Karki, Tyler Zetty, Israat Haque, Shan Zhou, Dukka Kc, Ian Stockwell, Xuyu Wang, Albert Bifet, Wenbin Zhang
2023	J	`jnl`	Preventing Discriminatory Decision-making in Evolving Data Streams. CoRR Zichong Wang, Nripsuta Saxena, Tongjia Yu, Sneha Karki, Tyler Zetty, Israat Haque, Shan Zhou, Dukka Kc, Ian Stockwell, Albert Bifet, Wenbin Zhang
2023	—	`conf`	Rethinking Learning Rate Tuning in the Era of Large Language Models. CogMI Hongpeng Jin, Wenqi Wei, Xuyu Wang, Wenbin Zhang, Yanzhao Wu
2023	J	`jnl`	Rethinking Learning Rate Tuning in the Era of Large Language Models. CoRR Hongpeng Jin, Wenqi Wei, Xuyu Wang, Wenbin Zhang, Yanzhao Wu
2023	J	`jnl`	The Internet of Responsibilities-Connecting Human Responsibilities using Big Data and Blockchain. CoRR Xuejiao Tang, Jiong Qiu, Wenbin Zhang, Ibrahim Toure, Mingli Zhang, Enza Messina, Xueping Xie, Xuebing Wang, Sheng Yu
2023	J	`jnl`	Towards Fair Machine Learning Software: Understanding and Addressing Model Bias Through Counterfactual Thinking. CoRR Zichong Wang, Zhou Yang, Meikang Qiu, Israat Haque, Laura Brown, Yi He, Jianwu Wang, David Lo, Wenbin Zhang
2023	J	`jnl`	Unveiling and Mitigating Bias in Ride-Hailing Pricing for Equitable Policy Making. CoRR Nripsuta Ani Saxena, Wenbin Zhang, Cyrus Shahabi
2022	J	`jnl`	A survey on datasets for fairness-aware machine learning. WIREs Data Mining Knowl. Discov. Tai Le Quy, Arjun Roy, Vasileios Iosifidis, Wenbin Zhang, Eirini Ntoutsi
2022	J	`jnl`	Attention Mechanism based Cognition-level Scene Understanding. CoRR Xuejiao Tang, Tai Le Quy, Eirini Ntoutsi, Kea Turner, Vasile Palade, Israat Haque, Peng Xu, Chris Brown, Wenbin Zhang
2022	—	`conf`	Data Quality Identification Model for Power Big Data. ICPCSEE (2) Haijie Zheng, Bing Tian, Xiaobao Liu, Wenbin Zhang, Shenqi Liu, Cong Wang
2022	—	`conf`	Detection and Location of High Voltage Power Switchgear Operating Equipment based on Iterative Segmentation. ITQM Wenbin Zhang, Jinchao Ni, Xue Liu, Bo Cui, Ziyan Liu, Bo Mao
2022	J	`jnl`	Fairness Amidst Non-IID Graph Data: A Literature Review. CoRR Wenbin Zhang, Jeremy C. Weiss, Shuigeng Zhou, Toby Walsh
2022	J	`jnl`	Improving the generalization of unsupervised feature learning by using data from different sources on gene expression data for cancer diagnosis. Medical Biol. Eng. Comput. Zhen Liu, Ruoyu Wang, Wenbin Zhang
2022	J	`jnl`	Incremental Mining of Frequent Serial Episodes Considering Multiple Occurrence. CoRR Thomas Guyet, Wenbin Zhang, Albert Bifet
2022	—	`conf`	Incremental Mining of Frequent Serial Episodes Considering Multiple Occurrences. ICCS (1) Thomas Guyet, Wenbin Zhang, Albert Bifet
2022	A*	`conf`	Longitudinal Fairness with Censorship. AAAI Wenbin Zhang, Jeremy C. Weiss
2022	J	`jnl`	Longitudinal Fairness with Censorship. CoRR Wenbin Zhang, Jeremy C. Weiss
2022	—	`conf`	Motor Imagery BCI-Based Online Control Soft Glove Rehabilitation System with Vibrotactile Stimulation. ICONIP (5) Wenbin Zhang, Aiguo Song, Jianwei Lai
2022	Misc	`conf`	Research on fine-tuning CNN for cancer diagnosis with gene expression data. ICMLC Zhen Liu, Ruoyu Wang, Jin Yang, Wenbin Zhang
2021	C	`conf`	A Generic Knowledge Based Medical Diagnosis Expert System. iiWAS Xin Huang, Xuejiao Tang, Wenbin Zhang, Ji Zhang, Mingli Zhang, Wensheng Gan, Shichao Pei, Zhen Liu, Yiyi Huang
2021	J	`jnl`	A Generic Knowledge Based Medical Diagnosis Expert System. CoRR Xin Huang, Xuejiao Tang, Wenbin Zhang, Shichao Pei, Ji Zhang, Wensheng Gan, Mingli Zhang, Zhen Liu, Ruijun Chen, Yiyi Huang
2021	—	`conf`	An Effective Algorithm for Classification of Text with Weak Sequential Relationships. DEXA (2) Qiqiang Xu, Ji Zhang, Ting Yu, Wenbin Zhang, Mingli Zhang, Yonglong Luo, Fulong Chen, Zhen Liu
2021	Misc	`conf`	An Unsupervised Feature Learning Method for Enhancing the Generalization of Cancer Diagnosis. ICMLC Zhen Liu, Ruoyu Wang, Wenbin Zhang, Deyu Tang
2021	—	`conf`	AutoEncoder for Neuroimage. DEXA (2) Mingli Zhang, Fan Zhang, Jianxin Zhang, Ahmad Chaddad, Fenghua Guo, Wenbin Zhang, Ji Zhang, Alan C. Evans
2021	B	`conf`	Cognitive Visual Commonsense Reasoning Using Dynamic Working Memory. DaWaK Xuejiao Tang, Xin Huang, Wenbin Zhang, Travers B. Child, Qiong Hu, Zhen Liu, Ji Zhang
2021	J	`jnl`	Cognitive Visual Commonsense Reasoning Using Dynamic Working Memory. CoRR Xuejiao Tang, Xin Huang, Wenbin Zhang, Travers B. Child, Qiong Hu, Zhen Liu, Ji Zhang
2021	A	`conf`	Disentangled Dynamic Graph Deep Generation. SDM Wenbin Zhang, Liming Zhang, Dieter Pfoser, Liang Zhao
2021	—	`conf`	FARF: A Fair and Adaptive Random Forests Classifier. PAKDD (2) Wenbin Zhang, Albert Bifet, Xiangliang Zhang, Jeremy C. Weiss, Wolfgang Nejdl
2021	J	`jnl`	FARF: A Fair and Adaptive Random Forests Classifier. CoRR Wenbin Zhang, Albert Bifet, Xiangliang Zhang, Jeremy C. Weiss, Wolfgang Nejdl
2021	A*	`conf`	Fair Decision-making Under Uncertainty. ICDM Wenbin Zhang, Jeremy C. Weiss
2021	J	`jnl`	Federated Topic Discovery: A Semantic Consistent Approach. IEEE Intell. Syst. Yexuan Shi, Yongxin Tong, Zhiyang Su, Di Jiang, Zimu Zhou, Wenbin Zhang
2021	—	`conf`	Harmonic-Mean Cox Models: A Ruler for Equal Attention to Risk. SPACA Xuejian Wang, Wenbin Zhang, Aishwarya Jadhav, Jeremy C. Weiss
2021	—	`conf`	Interpretable Visual Understanding with Cognitive Attention Network. ICANN (1) Xuejiao Tang, Wenbin Zhang, Yi Yu, Kea Turner, Tyler Derr, Mengyu Wang, Eirini Ntoutsi
2021	J	`jnl`	Interpretable Visual Understanding with Cognitive Attention Network. CoRR Xuejiao Tang, Wenbin Zhang, Yi Yu, Kea Turner, Tyler Derr, Mengyu Wang, Eirini Ntoutsi
2021	—	`conf`	LSTM Based Sentiment Analysis for Cryptocurrency Prediction. DASFAA (3) Xin Huang, Wenbin Zhang, Xuejiao Tang, Mingli Zhang, Jayachander Surbiryala, Vasileios Iosifidis, Zhen Liu, Ji Zhang
2021	J	`jnl`	LSTM Based Sentiment Analysis for Cryptocurrency Prediction. CoRR Xin Huang, Wenbin Zhang, Yiyi Huang, Xuejiao Tang, Mingli Zhang, Jayachander Surbiryala, Vasileios Iosifidis, Zhen Liu, Ji Zhang
2021	J	`jnl`	Online Fairness-Aware Learning with Imbalanced Data Streams. CoRR Vasileios Iosifidis, Wenbin Zhang, Eirini Ntoutsi
2021	J	`jnl`	Research on unsupervised feature learning for Android malware detection based on Restricted Boltzmann Machines. Future Gener. Comput. Syst. Zhen Liu, Ruoyu Wang, Nathalie Japkowicz, Deyu Tang, Wenbin Zhang, Jie Zhao
2021	—	`conf`	User and Service Classification in Power Grid Management System based on Random Forest. WI/IAT (Workshop/Special Session) Yansheng Qu, Xingfang Cheng, Yunxiao Wang, Hua Sheng, Wenbin Zhang, Lu Hou, Jian Meng, Xie Wang
2020	—	`conf`	A Data-driven Human Responsibility Management System. IEEE BigData Xuejiao Tang, Jiong Qiu, Ruijun Chen, Wenbin Zhang, Vasileios Iosifidis, Zhen Liu, Wei Meng, Mingli Zhang, Ji Zhang
2020	J	`jnl`	A Data-driven Human Responsibility Management System. CoRR Xuejiao Tang, Jiong Qiu, Ruijun Chen, Wenbin Zhang, Vasileios Iosifidis, Zhen Liu, Wei Meng, Mingli Zhang, Ji Zhang
2020	B	`conf`	Conditional-UNet: A Condition-aware Deep Model for Coherent Human Activity Recognition From Wearables. ICPR Liming Zhang, Wenbin Zhang, Nathalie Japkowicz
2020	—	`conf`	Context-aware Adaptive Outlier Detection in Trajectory Data. IEEE BigData Srinivas Danda, Ji Zhang, Xiaohui Tao, Jerry Chun-Wei Lin, Wenbin Zhang
2020	—	`conf`	Deep Discriminative Learning for Autism Spectrum Disorder Classification. DEXA (1) Mingli Zhang, Xin Zhao, Wenbin Zhang, Ahmad Chaddad, Alan C. Evans, Jean-Baptiste Poline
2020	J	`jnl`	Disentangled Dynamic Graph Deep Generation. CoRR Wenbin Zhang, Liming Zhang, Dieter Pfoser, Liang Zhao
2020	B	`conf`	FEAT: A Fairness-Enhancing and Concept-Adapting Decision Tree Classifier. DS Wenbin Zhang, Albert Bifet
2020	B	`conf`	Flexible and Adaptive Fairness-aware Learning in Non-stationary Data Streams. ICTAI Wenbin Zhang, Mingli Zhang, Ji Zhang, Zhen Liu, Zhiyuan Chen, Jianwu Wang, Edward Raff, Enza Messina
2020	A*	`conf`	Heterogeneous Mini-Graph Neural Network and Its Application to Fraud Invitation Detection. ICDM Yong-Nan Zhu, Xiaotian Luo, Yufeng Li, Bin Bu, Kaibo Zhou, Wenbin Zhang, Mingfan Lu
2020	J	`jnl`	Online Decision Trees with Fairness. CoRR Wenbin Zhang, Liang Zhao
2020	B	`conf`	Predicting Workplace Injuries Using Machine Learning Algorithms. DSAA Divya Sukumar, Ji Zhang, Xiaohui Tao, Xin Wang, Wenbin Zhang
2020	—	`conf`	Using Machine Learning to Automate Mammogram Images Analysis. BIBM Xuejiao Tang, Liuhua Zhang, Wenbin Zhang, Xin Huang, Vasileios Iosifidis, Zhen Liu, Mingli Zhang, Enza Messina, Ji Zhang
2020	J	`jnl`	Using Machine Learning to Automate Mammogram Images Analysis. CoRR Xuejiao Tang, Liuhua Zhang, Wenbin Zhang, Xin Huang, Vasileios Iosifidis, Zhen Liu, Mingli Zhang, Enza Messina, Ji Zhang
2019	A*	`conf`	FAHT: An Adaptive Fairness-aware Decision Tree Classifier. IJCAI Wenbin Zhang, Eirini Ntoutsi
2019	J	`jnl`	FAHT: An Adaptive Fairness-aware Decision Tree Classifier. CoRR Wenbin Zhang, Eirini Ntoutsi
2019	—	`conf`	On Fairness-Aware Learning for Non-discriminative Decision-Making. ICDM Workshops Wenbin Zhang, Xuejiao Tang, Jianwu Wang
2019	—	`conf`	The Internet of Responsibilities - Connecting Human Responsibilities using Big Data and Blockchain. IEEE BigData Xuejiao Tang, Jiong Qiu, Wenbin Zhang, Ibrahim Toure, Mingli Zhang, Enza Messina, Xueping Xie, Xuebing Wang, Sheng Yu
2018	—	`conf`	A Deterministic Self-Organizing Map Approach and its Application on Satellite Data based Cloud Type Classification. IEEE BigData Wenbin Zhang, Jianwu Wang, Daeho Jin, Lazaros Oreopoulos, Zhibo Zhang
2018	J	`jnl`	A Deterministic Self-Organizing Map Approach and its Application on Satellite Data based Cloud Type Classification. CoRR Wenbin Zhang, Jianwu Wang, Daeho Jin, Lazaros Oreopoulos, Zhibo Zhang
2018	—	`conf`	Automated Rehabilitation Exercises Assessment in Wearable Sensor Data Streams. IEEE BigData Antonio Candelieri, Wenbin Zhang, Enza Messina, Francesco Archetti
2018	—	`conf`	Content-bootstrapped Collaborative Filtering for Medical Article Recommendations. BIBM Wenbin Zhang, Jianwu Wang
2017	—	`conf`	A Hybrid Learning Framework for Imbalanced Stream Classification. BigData Congress Wenbin Zhang, Jianwu Wang
2017	B	`conf`	PhD Forum: Recognizing Human Posture from Time-Changing Wearable Sensor Data Streams. SMARTCOMP Wenbin Zhang
2016	—	`conf`	Using the machine learning approach to predict patient survival from high-dimensional survival data. BIBM Wenbin Zhang, Jian Tang, Nuo Wang
2016	—	`conf`	Wearable sensor based human posture recognition. IEEE BigData Jianwu Wang, Zhichuan Huang, Wenbin Zhang, Ankita Patil, Ketan Patil, Ting Zhu, Eric J. Shiroma, Mitchell A. Schepps, Tamara B. Harris