| 2026 | AAAI | GUIC: Certified Graph Unlearning with Individual Fairness Guarantees. | Zichong Wang, Tongliang Liu, Wenbin Zhang |
| 2026 | AAAI | Fair Graph Learning with Limited Sensitive Attribute Information. | Zichong Wang, Jie Yang, Jun Zhuang, Puqing Jiang, Mingzhe Chen, Ye Hu, Wenbin Zhang |
| 2026 | AAAI | Realistic Curriculum Reinforcement Learning for Autonomous and Sustainable Marine Vessel Navigation. | Xiaocai Zhang, Zhe Xiao, Maohan Liang, Tao Liu, Haijiang Li, Wenbin Zhang |
| 2026 | ACL | Learning to Conceal Risk: Controllable Multi-turn Red Teaming for LLMs in the Financial Domain. | Gang Cheng, Haibo Jin, Wenbin Zhang, Haohan Wang, Jun Zhuang |
| 2026 | ACL | FLAIR: Steering LLM Mathematical Problem Solving based on A Fuzzy-Logic-AssIsted Reasoner. | Hao Wu, Hongru Sun, Wanqing Li, Xinguo Yu, Hao Ming, Xiao Luo, Wenbin Zhang, Jiahong Zhao, Yi Guo, Jie Yang |
| 2026 | INFOCOM | Holm: A DPU-Based Robust Host-Side Latency Monitoring with Low-Overhead and Selective Full-Coverage. | Haifeng Zhou, Di Wang, Xi Sun, Wenbin Zhang, Dianxing Tang, Tao Zhang, Zhengyan Zhou, Chunming Wu |
| 2026 | KSEM | Graph Convolutional Network with Enhanced Syntactic and Semantic Dependencies for Aspect-Based Sentiment Analysis. | Yue Zhao, Wenbin Zhang, Feng Peng, Tianyi Xu, Mei Yu, Mankun Zhao |
| 2025 | AAAI | Toward Adaptive Large Language Models Structured Pruning via Hybrid-grained Weight Importance Assessment. | 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 | AAAI | Fair Graph U-Net: A Fair Graph Learning Framework Integrating Group and Individual Awareness. | Zichong Wang, Zhibo Chu, Thang Viet Doan, Shaowei Wang, Yongkai Wu, Vasile Palade, Wenbin Zhang |
| 2025 | AISTATS | Towards Fair Graph Learning without Demographic Information. | Zichong Wang, Nhat Hoang, Xingyu Zhang, Kevin Bello, Xiangliang Zhang, Sundararaja Sitharama Iyengar, Wenbin Zhang |
| 2025 | CIKM | Fairness in Language Models: A Tutorial. | Zichong Wang, Avash Palikhe, Zhipeng Yin, Wenbin Zhang |
| 2025 | CIKM | Uncertain Boundaries: A Tutorial on Copyright Challenges and Cross-Disciplinary Solutions for Generative AI. | Zhipeng Yin, Zichong Wang, Avash Palikhe, Wenbin Zhang |
| 2025 | COMPSAC | FRCS-LLM: A Framework for Refining Code Summarization in Large Language Models via Pre-trained Models. | Yuqi Wang, Chunli Xie, Wenbin Zhang, Xin Qiu |
| 2025 | ECAI | AI Fairness Beyond Complete Demographics: Current Achievements and Future Directions. | Zichong Wang, Zhipeng Yin, Roland H. C. Yap, Wenbin Zhang |
| 2025 | ECAI | AMCR: A Framework for Assessing and Mitigating Copyright Risks in Generative Models. | Zhipeng Yin, Zichong Wang, Avash Palikhe, Zhen Liu, Jun Liu, Wenbin Zhang |
| 2025 | EMNLP | Exploring the Vulnerability of the Content Moderation Guardrail in Large Language Models via Intent Manipulation. | Jun Zhuang, Hai Jin, Ye Zhang, Zhengjian Kang, Wenbin Zhang, Gaby G. Dagher, Haohan Wang |
| 2025 | EuroSys | Phantom: Virtualizing Switch Register Resources for Accurate Sketch-based Network Measurement. | Xiang Chen, Hongyan Liu, Zhengyan Zhou, Xi Sun, Wenbin Zhang, Hongyang Du, Dong Zhang, Xuan Liu, Haifeng Zhou, Dusit Niyato, Qun Huang, Chunming Wu, Kui Ren |
| 2025 | ICASSP | Class Semantic Prompts Enhanced Prototypical Fusion Method for Few-shot Named Entity Recognition. | Mei Yu, Yuang Tao, Mankun Zhao, Tianyi Xu, Zechen Meng, Wenbin Zhang, Jian Yu |
| 2025 | ICASSP | Maximum Mutual Information Estimation based Graph Attention Network for Knowledge Graph Completion. | Wenbin Zhang, Shimei Luo, Zechen Meng, Mankun Zhao, Tianyi Xu, Jian Yu, Jiale Mei, Mei Yu |
| 2025 | ICASSP | RoRA: Efficient Fine-Tuning of LLM with Reliability Optimization for Rank Adaptation. | 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 | ICASSP | Diffusion Augmentation Sub-center Modeling for Unsupervised Anomalous Sound Detection with Partially Attribute-Unavailable Conditions. | Jiawei Yin, Yu Gao, Wenbin Zhang, Tianyi Wang, Mingjun Zhang |
| 2025 | ICASSP | MTE: Multi Transformation of Entities in Quaternion Vector Space for Temporal Knowledge Graph Completion. | Ruiguo Yu, Jiazheng Guo, Mankun Zhao, Tianyi Xu, Jiujiang Guo, Wenbin Zhang, Mei Yu |
| 2025 | ICDM | Negative-Free Graph Contrastive Learning for Recommendation. | Junping Liu, Mingchao Yu, Xinrong Hu, Jie Yang, Yi Guo, Wanqing Li, Wenbin Zhang |
| 2025 | ICML | TeDS: Joint Learning of Diachronic and Synchronic Perspectives in Quaternion Space for Temporal Knowledge Graph Completion. | Jiujiang Guo, Mankun Zhao, Wenbin Zhang, Tianyi Xu, Linying Xu, Jian Yu, Mei Yu, Ruiguo Yu |
| 2025 | ICML | FDGen: A Fairness-Aware Graph Generation Model. | Zichong Wang, Wenbin Zhang |
| 2025 | ICML | Preserving AUC Fairness in Learning with Noisy Protected Groups. | Mingyang Wu, Li Lin, Wenbin Zhang, Xin Wang, Zhenhuan Yang, Shu Hu |
| 2025 | IJCAI | fairGNN-WOD: Fair Graph Learning Without Complete Demographics. | Zichong Wang, Fang Liu, Shimei Pan, Jun Liu, Fahad Saeed, Meikang Qiu, Wenbin Zhang |
| 2025 | IJCAI | Towards Fairness with Limited Demographics via Disentangled Learning. | Zichong Wang, Anqi Wu, Nuno Moniz, Shu Hu, Bart P. Knijnenburg, Xingquan Zhu, Wenbin Zhang |
| 2025 | Interspeech | End-to-End DOA-Guided Speech Extraction in Noisy Multi-Talker Scenarios. | Kangqi Jing, Wenbin Zhang, Yu Gao |
| 2025 | SDM | ℓ | Zhong Chen, Yi He, Di Wu, Wenbin Zhang, Zhiqiang Deng |
| 2024 | AAAI | Exploring Equation as a Better Intermediate Meaning Representation for Numerical Reasoning of Large Language Models. | Dingzirui Wang, Longxu Dou, Wenbin Zhang, Junyu Zeng, Wanxiang Che |
| 2024 | AAAI | Fairness with Censorship: Bridging the Gap between Fairness Research and Real-World Deployment. | Wenbin Zhang |
| 2024 | ACSAC | FedCAP: Robust Federated Learning via Customized Aggregation and Personalization. | Youpeng Li, Xinda Wang, Fuxun Yu, Lichao Sun, Wenbin Zhang, Xuyu Wang |
| 2024 | CIKM | Fairness in Large Language Models in Three Hours. | Thang Viet Doan, Zichong Wang, Nhat Nguyen Minh Hoang, Wenbin Zhang |
| 2024 | CIKM | Transforming Digital Forensics with Large Language Models: Unlocking Automation, Insights, and Justice. | Eric Xu, Wenbin Zhang, Weifeng Xu |
| 2024 | COLING | Fine-Grained Legal Argument-Pair Extraction via Coarse-Grained Pre-training. | Chaojun Xiao, Yutao Sun, Yuan Yao, Xu Han, Wenbin Zhang, Zhiyuan Liu, Maosong Sun |
| 2024 | CSCWD | Sentence-level Distant Supervision Relation Extraction based on Dynamic Soft Labels. | Dejun Hou, Zefeng Zhang, Mankun Zhao, Wenbin Zhang, Yue Zhao, Jian Yu |
| 2024 | CVPR | On the Efficiency of Privacy Attacks in Federated Learning. | Nawrin Tabassum, Ka-Ho Chow, Xuyu Wang, Wenbin Zhang, Yanzhao Wu |
| 2024 | DASFAA | AttFGCN: A GCN-Based Method Using Attention Flow for Knowledge Graph Completion. | Mei Yu, Fan Gao, Mankun Zhao, Tianyi Xu, Jiujiang Guo, Wenbin Zhang, Dejun Hou, Ruiguo Yu |
| 2024 | ECAI | DSPrompt: Prompt Learning with Relation Abstraction and Context Injection for Distant Supervised Relation Extraction. | Zechen Meng, Wenbin Zhang, Mankun Zhao, Tianyi Xu, Jian Yu, Ruiguo Yu, Mei Yu |
| 2024 | ECAI | Group Fairness with Individual and Censorship Constraints. | Zichong Wang, Wenbin Zhang |
| 2024 | ECAI | Individual Fairness with Group Constraints in Graph Neural Networks. | Zichong Wang, David Ulloa, Tongjia Yu, Raju Rangaswami, Roland H. C. Yap, Wenbin Zhang |
| 2024 | ICDM | Accessible Health Screening Using Body Fat Estimation by Image Segmentation. | 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 | IJCAI | BadFusion: 2D-Oriented Backdoor Attacks against 3D Object Detection. | Saket S. Chaturvedi, Lan Zhang, Wenbin Zhang, Pan He, Xiaoyong Yuan |
| 2024 | INFOCOM | Accelerating Sketch-based End-Host Traffic Measurement with Automatic DPU Offloading. | Xiang Chen, Xi Sun, Wenbin Zhang, Xin Yao, Zizheng Wang, Hongyan Liu, Qun Huang, Gaoning Pan, Xuan Liu, Haifeng Zhou, Chunming Wu |
| 2024 | INFOCOM | Backdoor Attacks Against Low-Earth Orbit Satellite Fingerprinting. | Tianya Zhao, Ningning Wang, Yanzhao Wu, Wenbin Zhang, Xuyu Wang |
| 2024 | ICSE | Improving Fairness in Machine Learning Software via Counterfactual Fairness Thinking. | Zhipeng Yin, Zichong Wang, Wenbin Zhang |
| 2024 | QRS | A Graph-Based Approach for Discovering Evidence Relationships Across Multiple Devices in Group Crimes. | Daniel Addai, Sarfraz Shaikh, Eric Xu, Wenbin Zhang, Weifeng Xu |
| 2024 | WCNC | Cell-Free Massive MIMO-OFDM: Asynchronous Reception and Uplink Performance Analysis. | Guoyu Li, Changsheng You, Shaochuan Wu, Wenbin Zhang, Guanyu Shang, Xiaokang Zhou |
| 2024 | WSDM | Global Heterogeneous Graph and Target Interest Denoising for Multi-behavior Sequential Recommendation. | Xuewei Li, Hongwei Chen, Jian Yu, Mankun Zhao, Tianyi Xu, Wenbin Zhang, Mei Yu |
| 2023 | AAAI | Censored Fairness through Awareness. | Wenbin Zhang, Tina Hernandez-Boussard, Jeremy C. Weiss |
| 2023 | CSCWD | Graph Contrastive Learning with Adaptive Augmentation for Knowledge Concept Recommendation. | Mei Yu, Zhaoyuan Ding, Jian Yu, Wenbin Zhang, Ming Yang, Mankun Zhao |
| 2023 | DaWaK | Fair-DSP: Fair Dynamic Survival Prediction on Longitudinal Electronic Health Record. | Xin Huang, Xiangyang Meng, Ni Zhao, Wenbin Zhang, Jianwu Wang |
| 2023 | ECAI | Individual Fairness Under Uncertainty. | Wenbin Zhang, Zichong Wang, Juyong Kim, Cheng Cheng, Thomas Oommen, Pradeep Ravikumar, Jeremy C. Weiss |
| 2023 | EMNLP | Variator: Accelerating Pre-trained Models with Plug-and-Play Compression Modules. | Chaojun Xiao, Yuqi Luo, Wenbin Zhang, Pengle Zhang, Xu Han, Yankai Lin, Zhengyan Zhang, Ruobing Xie, Zhiyuan Liu, Maosong Sun, Jie Zhou |
| 2023 | GLOBECOM | Energy-Efficient Resource Allocation in DDPG-Based Integrated Satellite-Terrestrial Network. | Shuangquan Zhou, Wenbin Zhang, Fanglei Xu, Min Jia |
| 2023 | ICDM | Exploring Approaches for Teaching Cybersecurity and AI for K-12. | Yu Cai, Drew Youngstrom, Wenbin Zhang |
| 2023 | ICDM | Optimization and Improvement of Fake News Detection using Voting Technique for Societal Benefit. | 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 | ICDM | Mitigating Multisource Biases in Graph Neural Networks via Real Counterfactual Samples. | Zichong Wang, Giri Narasimhan, Xin Yao, Wenbin Zhang |
| 2023 | ICONIP | Multi-view Contrastive Learning for Knowledge-Aware Recommendation. | Ruiguo Yu, Zixuan Li, Mankun Zhao, Wenbin Zhang, Ming Yang, Jian Yu |
| 2023 | IJCNN | MASZSL: A Multi-Block Attention-Based Description Generative Adversarial Network for Knowledge Graph Zero-Shot Relational Learning. | Mei Yu, Pengtao Fan, Mankun Zhao, Wenbin Zhang, Yue Zhao, Ming Yang, Jian Yu |
| 2023 | IJCNN | Combination of Translation and Rotation in Dual Quaternion Space for Temporal Knowledge Graph Completion. | Ruiguo Yu, Tao Liu, Jian Yu, Wenbin Zhang, Yue Zhao, Ming Yang, Mankun Zhao, Jiujiang Guo |
| 2023 | Interspeech | Variance-Preserving-Based Interpolation Diffusion Models for Speech Enhancement. | Zilu Guo, Jun Du, Chin-Hui Lee, Yu Gao, Wenbin Zhang |
| 2023 | KSEM | Hypergraph Enhanced Contrastive Learning for News Recommendation. | Mankun Zhao, Zhao Liu, Mei Yu, Wenbin Zhang, Yue Zhao, Ming Yang, Jian Yu |
| 2023 | SDM | Missed Opportunities in Fair AI. | Nripsuta Ani Saxena, Wenbin Zhang, Cyrus Shahabi |
| 2022 | AAAI | Longitudinal Fairness with Censorship. | Wenbin Zhang, Jeremy C. Weiss |
| 2022 | ESORICS | IoTEnsemble: Detection of Botnet Attacks on Internet of Things. | Ruoyu Li, Qing Li, Yucheng Huang, Wenbin Zhang, Peican Zhu, Yong Jiang |
| 2022 | ICCS | Incremental Mining of Frequent Serial Episodes Considering Multiple Occurrences. | Thomas Guyet, Wenbin Zhang, Albert Bifet |
| 2022 | ICONIP | Motor Imagery BCI-Based Online Control Soft Glove Rehabilitation System with Vibrotactile Stimulation. | Wenbin Zhang, Aiguo Song, Jianwei Lai |
| 2021 | DASFAA | LSTM Based Sentiment Analysis for Cryptocurrency Prediction. | Xin Huang, Wenbin Zhang, Xuejiao Tang, Mingli Zhang, Jayachander Surbiryala, Vasileios Iosifidis, Zhen Liu, Ji Zhang |
| 2021 | DaWaK | Cognitive Visual Commonsense Reasoning Using Dynamic Working Memory. | Xuejiao Tang, Xin Huang, Wenbin Zhang, Travers B. Child, Qiong Hu, Zhen Liu, Ji Zhang |
| 2021 | DEXA | An Effective Algorithm for Classification of Text with Weak Sequential Relationships. | Qiqiang Xu, Ji Zhang, Ting Yu, Wenbin Zhang, Mingli Zhang, Yonglong Luo, Fulong Chen, Zhen Liu |
| 2021 | DEXA | AutoEncoder for Neuroimage. | Mingli Zhang, Fan Zhang, Jianxin Zhang, Ahmad Chaddad, Fenghua Guo, Wenbin Zhang, Ji Zhang, Alan C. Evans |
| 2021 | ICANN | Interpretable Visual Understanding with Cognitive Attention Network. | Xuejiao Tang, Wenbin Zhang, Yi Yu, Kea Turner, Tyler Derr, Mengyu Wang, Eirini Ntoutsi |
| 2021 | ICDM | Fair Decision-making Under Uncertainty. | Wenbin Zhang, Jeremy C. Weiss |
| 2021 | IIWAS | A Generic Knowledge Based Medical Diagnosis Expert System. | Xin Huang, Xuejiao Tang, Wenbin Zhang, Ji Zhang, Mingli Zhang, Wensheng Gan, Shichao Pei, Zhen Liu, Yiyi Huang |
| 2021 | ICSE | Prioritizing Test Inputs for Deep Neural Networks via Mutation Analysis. | Zan Wang, Hanmo You, Junjie Chen, Yingyi Zhang, Xuyuan Dong, Wenbin Zhang |
| 2021 | ICSE | PLELog: Semi-Supervised Log-Based Anomaly Detection via Probabilistic Label Estimation. | Lin Yang, Junjie Chen, Zan Wang, Weijing Wang, Jiajun Jiang, Xuyuan Dong, Wenbin Zhang |
| 2021 | ICSE | Semi-supervised Log-based Anomaly Detection via Probabilistic Label Estimation. | Lin Yang, Junjie Chen, Zan Wang, Weijing Wang, Jiajun Jiang, Xuyuan Dong, Wenbin Zhang |
| 2021 | PAKDD | FARF: A Fair and Adaptive Random Forests Classifier. | Wenbin Zhang, Albert Bifet, Xiangliang Zhang, Jeremy C. Weiss, Wolfgang Nejdl |
| 2021 | SDM | Disentangled Dynamic Graph Deep Generation. | Wenbin Zhang, Liming Zhang, Dieter Pfoser, Liang Zhao |
| 2020 | DEXA | Deep Discriminative Learning for Autism Spectrum Disorder Classification. | Mingli Zhang, Xin Zhao, Wenbin Zhang, Ahmad Chaddad, Alan C. Evans, Jean-Baptiste Poline |
| 2020 | DIS | FEAT: A Fairness-Enhancing and Concept-Adapting Decision Tree Classifier. | Wenbin Zhang, Albert Bifet |
| 2020 | DSAA | Predicting Workplace Injuries Using Machine Learning Algorithms. | Divya Sukumar, Ji Zhang, Xiaohui Tao, Xin Wang, Wenbin Zhang |
| 2020 | ICDM | Heterogeneous Mini-Graph Neural Network and Its Application to Fraud Invitation Detection. | Yong-Nan Zhu, Xiaotian Luo, Yufeng Li, Bin Bu, Kaibo Zhou, Wenbin Zhang, Mingfan Lu |
| 2020 | ICPR | Conditional-UNet: A Condition-aware Deep Model for Coherent Human Activity Recognition From Wearables. | Liming Zhang, Wenbin Zhang, Nathalie Japkowicz |
| 2020 | ICTAI | Flexible and Adaptive Fairness-aware Learning in Non-stationary Data Streams. | Wenbin Zhang, Mingli Zhang, Ji Zhang, Zhen Liu, Zhiyuan Chen, Jianwu Wang, Edward Raff, Enza Messina |
| 2019 | ICDM | On Fairness-Aware Learning for Non-discriminative Decision-Making. | Wenbin Zhang, Xuejiao Tang, Jianwu Wang |
| 2019 | IJCAI | FAHT: An Adaptive Fairness-aware Decision Tree Classifier. | Wenbin Zhang, Eirini Ntoutsi |
| 2017 | BigData | A Hybrid Learning Framework for Imbalanced Stream Classification. | Wenbin Zhang, Jianwu Wang |
| 2017 | IWCMC | Distributed power allocation for device-to-device communications underlaying cellular networks. | Ninqing Liu, Tong Liu, Wenbin Zhang, Shuai Han, Qiang Wang |
| 2017 | SmartComp | PhD Forum: Recognizing Human Posture from Time-Changing Wearable Sensor Data Streams. | Wenbin Zhang |
| 2016 | IWSEC | On the Security and Key Generation of the ZHFE Encryption Scheme. | Wenbin Zhang, Chik How Tan |
| 2014 | CCS | A new perturbed matsumoto-imai signature scheme. | Wenbin Zhang, Chik How Tan |
| 2014 | ICISC | Algebraic Cryptanalysis of Yasuda, Takagi and Sakurai's Signature Scheme. | Wenbin Zhang, Chik How Tan |
| 2012 | SecureComm | JSGuard: Shellcode Detection in JavaScript. | Boxuan Gu, Wenbin Zhang, Xiaole Bai, Adam C. Champion, Feng Qin, Dong Xuan |
| 2011 | ASPLOS | 2ndStrike: toward manifesting hidden concurrency typestate bugs. | Qi Gao, Wenbin Zhang, Zhezhe Chen, Mai Zheng, Feng Qin |
| 2010 | ICWSM | Trading Strategies to Exploit Blog and News Sentiment. | Wenbin Zhang, Steven Skiena |
| 2010 | SC | FlowChecker: Detecting Bugs in MPI Libraries via Message Flow Checking. | Zhezhe Chen, Qi Gao, Wenbin Zhang, Feng Qin |
| 2009 | EuroSys | First-aid: surviving and preventing memory management bugs during production runs. | Qi Gao, Wenbin Zhang, Yan Tang, Feng Qin |