| 2026 | AAAI | Measuring What Matters: Scenario-Driven Evaluation for Trajectory Predictors in Autonomous Driving. | Longchao Da, David Isele, Hua Wei, Manish Saroya |
| 2026 | ACL | Uncertainty Quantification of Large Language Models through Multiple Uncertainty Sources. | Tiejin Chen, Xiaoou Liu, Longchao Da, Jia Chen, Evangelos E. Papalexakis, Hua Wei |
| 2026 | ACL | Every Response Counts: Quantifying Uncertainty of LLM-based Multi-Agent Systems through Tensor Decomposition. | Tiejin Chen, Huaiyuan Yao, Jia Chen, Evangelos E. Papalexakis, Hua Wei |
| 2026 | ACL | Lost in Execution: On the Multilingual Robustness of Tool Calling in Large Language Models. | Zheng Luo, Thirulogasankar Pranav Kutralingam, Ogochukwu N. Okoani, Wanpeng Xu, Hua Wei, Xiyang Hu |
| 2026 | ACL | A Multi-Agent Framework for High-Interaction Terminal Simulation. | Kai Wei, Yuwen Cui, Kehan Shen, Hua Wei, Guangjing Wang |
| 2026 | EACL | Conformal Feedback Alignment: Quantifying Answer-Level Reliability for Robust LLM Alignment. | Tiejin Chen, Xiaoou Liu, Vishnu Nandam, Kuanru Liou, Hua Wei |
| 2026 | EACL | Zer0-Jack: A memory-efficient gradient-based jailbreaking method for black box Multi-modal Large Language Models. | Tiejin Chen, Kaishen Wang, Hua Wei |
| 2026 | EACL | Instructional Agents: Reducing Teaching Faculty Workload through Multi-Agent Instructional Design. | Huaiyuan Yao, Wanpeng Xu, Justin Turnau, Nadia Kellam, Hua Wei |
| 2026 | PAKDD | SELAUR: Self Evolving LLM Agent via Uncertainty-Aware Rewards. | Dengjia Zhang, Xiaoou Liu, Lu Cheng, Yaqing Wang, Kenton Murray, Hua Wei |
| 2025 | ACL | Vision Language Model Helps Private Information De-Identification in Vision Data. | Tiejin Chen, Pingzhi Li, Kaixiong Zhou, Tianlong Chen, Hua Wei |
| 2025 | ACL | Unveiling Privacy Risks in Multi-modal Large Language Models: Task-specific Vulnerabilities and Mitigation Challenges. | Tiejin Chen, Pingzhi Li, Kaixiong Zhou, Tianlong Chen, Hua Wei |
| 2025 | CIKM | cMALC-D: Contextual Multi-Agent LLM-Guided Curriculum Learning with Diversity-Based Context Blending. | Anirudh Satheesh, Keenan Powell, Hua Wei |
| 2025 | ICML | RISE: Radius of Influence based Subgraph Extraction for 3D Molecular Graph Explanation. | Jingxiang Qu, Wenhan Gao, Jiaxing Zhang, Xufeng Liu, Hua Wei, Haibin Ling, Yi Liu |
| 2025 | ICML | Fully Heteroscedastic Count Regression with Deep Double Poisson Networks. | Spencer Young, Porter Jenkins, Longchao Da, Jeffrey Dotson, Hua Wei |
| 2025 | IJCAI | DeepShade: Enable Shade Simulation by Text-conditioned Image Generation. | Longchao Da, Xiangrui Liu, Mithun Shivakoti, Thirulogasankar Pranav Kutralingam, Yezhou Yang, Hua Wei |
| 2025 | IJCAI | GE-Chat: A Graph Enhanced RAG Framework for Evidential Response Generation of LLMs. | Longchao Da, Parth Mitesh Shah, Kuanru Liou, Jiaxing Zhang, Hua Wei |
| 2025 | INFOCOM | Adaptive Traffic Steering in Open RAN: Integrating Rule-Based Policies with Reinforcement Learning. | Utkarsh Sharma, Hua Wei, Mingzhe Chen, Jie Xu, Yuchen Liu |
| 2025 | KDD | Is Your Explanation Reliable: Confidence-Aware Explanation on Graph Neural Networks. | Jiaxing Zhang, Xiaoou Liu, Dongsheng Luo, Hua Wei |
| 2025 | KDD | FlanS: A Foundation Model for Free-Form Language-based Segmentation in Medical Images. | Longchao Da, Rui Wang, Xiaojian Xu, Parminder Bhatia, Taha A. Kass-Hout, Hua Wei, Cao Xiao |
| 2025 | KDD | Uncertainty Quantification and Confidence Calibration in Large Language Models: A Survey. | Xiaoou Liu, Tiejin Chen, Longchao Da, Chacha Chen, Zhen Lin, Hua Wei |
| 2025 | KDD | The 4th Workshop on AI Agent for Information Retrieval: Generating and Ranking. | Qingsong Wen, Yongfeng Zhang, Zhiwei Liu, Julian J. McAuley, Hua Wei, Linsey Pang, Wei Liu, Philip S. Yu |
| 2025 | KDD | 4th Workshop on Uncertainty Reasoning and Quantification in Decision Making (UDM). | Xujiang Zhao, Chen Zhao, Feng Chen, Jin-Hee Cho, Hua Wei, Haifeng Chen |
| 2025 | WWW | The 3rd Workshop on AI Agent for Information Retrieval: Generating and Ranking. | Qingsong Wen, Yongfeng Zhang, Zhiwei Liu, Julian J. McAuley, Hua Wei, Linsey Pang, Wei Liu, Philip S. Yu |
| 2025 | SDM | Protecting Privacy against Membership Inference Attack with LLM Fine-tuning through Flatness. | Tiejin Chen, Longchao Da, Huixue Zhou, Pingzhi Li, Kaixiong Zhou, Tianlong Chen, Hua Wei |
| 2025 | SDM | CoMAL: Collaborative Multi-Agent Large Language Models for Mixed-Autonomy Traffic. | Huaiyuan Yao, Longchao Da, Vishnu Nandam, Justin Turnau, Zhiwei Liu, Linsey Pang, Hua Wei |
| 2024 | AAAI | Prompt to Transfer: Sim-to-Real Transfer for Traffic Signal Control with Prompt Learning. | Longchao Da, Minquan Gao, Hao Mei, Hua Wei |
| 2024 | AAAI | Probabilistic Offline Policy Ranking with Approximate Bayesian Computation. | Longchao Da, Porter Jenkins, Trevor Schwantes, Jeffrey Dotson, Hua Wei |
| 2024 | AAAI | The Evidence Contraction Issue in Deep Evidential Regression: Discussion and Solution. | Yuefei Wu, Bin Shi, Bo Dong, Qinghua Zheng, Hua Wei |
| 2024 | AAAI | Uncertainty Regularized Evidential Regression. | Kai Ye, Tiejin Chen, Hua Wei, Liang Zhan |
| 2024 | CIKM | Shaded Route Planning Using Active Segmentation and Identification of Satellite Images. | Longchao Da, Rohan Chhibba, Rushabh Jaiswal, Ariane Middel, Hua Wei |
| 2024 | CIKM | MalLight: Influence-Aware Coordinated Traffic Signal Control for Traffic Signal Malfunctions. | Qinchen Yang, Zejun Xie, Hua Wei, Desheng Zhang, Yu Yang |
| 2024 | CIKM | AdaTrans: Adaptive Transfer Time Prediction for Multi-modal Transportation Modes. | Shuxin Zhong, Hua Wei, Wenjun Lyu, Guang Yang, Zhiqing Hong, Guang Wang, Yu Yang, Desheng Zhang |
| 2024 | CVPR | eTraM: Event-Based Traffic Monitoring Dataset. | Aayush Atul Verma, Bharatesh Chakravarthi, Arpitsinh Vaghela, Hua Wei, Yezhou Yang |
| 2024 | ICLR | Towards Robust Fidelity for Evaluating Explainability of Graph Neural Networks. | Xu Zheng, Farhad Shirani, Tianchun Wang, Wei Cheng, Zhuomin Chen, Haifeng Chen, Hua Wei, Dongsheng Luo |
| 2024 | ICML | Generating In-Distribution Proxy Graphs for Explaining Graph Neural Networks. | Zhuomin Chen, Jiaxing Zhang, Jingchao Ni, Xiaoting Li, Yuchen Bian, Md Mezbahul Islam, Ananda Mondal, Hua Wei, Dongsheng Luo |
| 2024 | IJCAI | X-Light: Cross-City Traffic Signal Control Using Transformer on Transformer as Meta Multi-Agent Reinforcement Learner. | Haoyuan Jiang, Ziyue Li, Hua Wei, Xuantang Xiong, Jingqing Ruan, Jiaming Lu, Hangyu Mao, Rui Zhao |
| 2024 | KDD | CoSLight: Co-optimizing Collaborator Selection and Decision-making to Enhance Traffic Signal Control. | Jingqing Ruan, Ziyue Li, Hua Wei, Haoyuan Jiang, Jiaming Lu, Xuantang Xiong, Hangyu Mao, Rui Zhao |
| 2024 | NeSy | Metacognitive AI: Framework and the Case for a Neurosymbolic Approach. | Hua Wei, Paulo Shakarian, Christian Lebiere, Bruce A. Draper, Nikhil Krishnaswamy, Sergei Nirenburg |
| 2023 | AAAI | SafeLight: A Reinforcement Learning Method toward Collision-Free Traffic Signal Control. | Wenlu Du, Junyi Ye, Jingyi Gu, Jing Li, Hua Wei, Guiling Wang |
| 2023 | AAAI | Positive Distribution Pollution: Rethinking Positive Unlabeled Learning from a Unified Perspective. | Qianqiao Liang, Mengying Zhu, Yan Wang, Xiuyuan Wang, Wanjia Zhao, Mengyuan Yang, Hua Wei, Bing Han, Xiaolin Zheng |
| 2023 | CIKM | Rethinking Sentiment Analysis under Uncertainty. | Yuefei Wu, Bin Shi, Jiarun Chen, Yuhang Liu, Bo Dong, Qinghua Zheng, Hua Wei |
| 2023 | ICDM | Uncertainty-aware Traffic Prediction under Missing Data. | Hao Mei, Junxian Li, Zhiming Liang, Guanjie Zheng, Bin Shi, Hua Wei |
| 2023 | IJCAI | Reinforcement Learning Approaches for Traffic Signal Control under Missing Data. | Hao Mei, Junxian Li, Bin Shi, Hua Wei |
| 2023 | IJCNN | Multi-Task Collaborative Attention Network for Pedestrian Attribute Recognition. | Junliang Cao, Hua Wei, Yongli Sun, Zhifeng Zhao, Wei Wang, Guangze Sun, Gang Wang |
| 2023 | KDD | MixupExplainer: Generalizing Explanations for Graph Neural Networks with Data Augmentation. | Jiaxing Zhang, Dongsheng Luo, Hua Wei |
| 2023 | PADS | Learning to Calibrate Hybrid Hyperparameters: a Study on Traffic Simulation. | Wanpeng Xu, Hua Wei |
| 2022 | AAAI | Bayesian Model-Based Offline Reinforcement Learning for Product Allocation. | Porter Jenkins, Hua Wei, J. Stockton Jenkins, Zhenhui Li |
| 2022 | CIKM | The Third Workshop on Data-driven Intelligent Transportation. | Hua Wei, Guni Sharon, Cathy Wu, Sanjay Chawla, Zhenhui Li |
| 2022 | IJCNN | SCAN: Stronger Collaborative Attention Network for Vehicle Re-Identification. | Yongli Sun, Wenpeng Li, Junliang Cao, Zhifeng Zhao, Hua Wei, Dingxin Yan, Guangze Sun, Gang Wang |
| 2022 | KDD | Modeling Network-level Traffic Flow Transitions on Sparse Data. | Xiaoliang Lei, Hao Mei, Bin Shi, Hua Wei |
| 2022 | UIC | HMES: A Scalable Human Mobility and Epidemic Simulation System with Fast Intervention Modeling. | Haoyu Geng, Guanjie Zheng, Zhengqing Han, Hua Wei, Zhenhui Li |
| 2021 | AAAI | How Do We Move: Modeling Human Movement with System Dynamics. | Hua Wei, Dongkuan Xu, Junjie Liang, Zhenhui Li |
| 2021 | AAAI | Transformer-Style Relational Reasoning with Dynamic Memory Updating for Temporal Network Modeling. | Dongkuan Xu, Junjie Liang, Wei Cheng, Hua Wei, Haifeng Chen, Xiang Zhang |
| 2021 | CVPR | Progressive Data Mining and Adaptive Weighted Multi-Model Ensemble for Vehicle Re-Identification. | Yongli Sun, Wenpeng Li, Hua Wei, Longtao Zhang, Jiahao Tian, Guangze Sun, Gang Wang, Junliang Cao, Zhifeng Zhao, Junfeng Ding |
| 2021 | ICDE | Rebuilding City-Wide Traffic Origin Destination from Road Speed Data. | Guanjie Zheng, Chang Liu, Hua Wei, Chacha Chen, Zhenhui Li |
| 2021 | IJCAI | Boosting Offline Reinforcement Learning with Residual Generative Modeling. | Hua Wei, Deheng Ye, Zhao Liu, Hao Wu, Bo Yuan, Qiang Fu, Wei Yang, Zhenhui Li |
| 2021 | IJCAI | Knowledge-based Residual Learning. | Guanjie Zheng, Chang Liu, Hua Wei, Porter Jenkins, Chacha Chen, Tao Wen, Zhenhui Li |
| 2020 | AAAI | Toward A Thousand Lights: Decentralized Deep Reinforcement Learning for Large-Scale Traffic Signal Control. | Chacha Chen, Hua Wei, Nan Xu, Guanjie Zheng, Ming Yang, Yuanhao Xiong, Kai Xu, Zhenhui Li |
| 2020 | GLOBECOM | Value-driven Cache Replacement Strategy in Mobile Edge Computing. | Hua Wei, Hong Luo, Yan Sun, Mohammad S. Obaidat |
| 2020 | IWCMC | A Novel Code Stylometry-based Code Clone Detection Strategy. | Wenyuan Dong, Zhiyong Feng, Hua Wei, Hong Luo |
| 2019 | AAAI | Revisiting Spatial-Temporal Similarity: A Deep Learning Framework for Traffic Prediction. | Huaxiu Yao, Xianfeng Tang, Hua Wei, Guanjie Zheng, Zhenhui Li |
| 2019 | CIKM | CoLight: Learning Network-level Cooperation for Traffic Signal Control. | Hua Wei, Nan Xu, Huichu Zhang, Guanjie Zheng, Xinshi Zang, Chacha Chen, Weinan Zhang, Yanmin Zhu, Kai Xu, Zhenhui Li |
| 2019 | CIKM | Learning Phase Competition for Traffic Signal Control. | Guanjie Zheng, Yuanhao Xiong, Xinshi Zang, Jie Feng, Hua Wei, Huichu Zhang, Yong Li, Kai Xu, Zhenhui Li |
| 2019 | KDD | PressLight: Learning Max Pressure Control to Coordinate Traffic Signals in Arterial Network. | Hua Wei, Chacha Chen, Guanjie Zheng, Kan Wu, Vikash V. Gayah, Kai Xu, Zhenhui Li |
| 2019 | WWW | Learning Task-Specific City Region Partition. | Hongjian Wang, Porter Jenkins, Hua Wei, Fei Wu, Zhenhui Li |
| 2018 | KDD | IntelliLight: A Reinforcement Learning Approach for Intelligent Traffic Light Control. | Hua Wei, Guanjie Zheng, Huaxiu Yao, Zhenhui Li |
| 2018 | PAKDD | Context-Aware Location Annotation on Mobility Records Through User Grouping. | Yong Zhang, Hua Wei, Xuelian Lin, Fei Wu, Zhenhui Li, Kaiheng Chen, Yuandong Wang, Jie Xu |
| 2016 | CIKM | ZEST: A Hybrid Model on Predicting Passenger Demand for Chauffeured Car Service. | Hua Wei, Yuandong Wang, Tianyu Wo, Yaxiao Liu, Jie Xu |
| 2015 | HPCC | Discovering Event Evolution Chain in Microblog. | Zhongyu Lu, Weiren Yu, Richong Zhang, Jianxin Li, Hua Wei |
| 2012 | IECON | Design, analysis and sensorless control of a new self-decelerating permanent-magnet motor. | Ying Fan, Jin Huang, Xuedong Han, Xiaofan Fu, Hua Wei |
| 2006 | GLOBECOM | Multi-Stage Investment Decision under Contingent Demand for Networking Planning. | Miguel F. Anjos, Michael Desroches, Anwar Haque, Oleg Grodzevich, Hua Wei, Henry Wolkowicz |
| 2006 | IGARSS | Management of Remote Sensing Data and Multimedia Data for Disaster Monitoring. | Hua Wei, Jinguo Xiong, Fuli Yan |
| 2005 | IGARSS | Research of adapted method to remote sensing image based on CL multiwavelet. | Shifeng Wang, Chongjun Yang, Hua Wei |