ShutterRoller: Preserving Social Network Privacy towards High-Speed Domain Gateway. - Borui Yang; Jianxin Li 002; Lu Liu 001; Yingjie Cao; Hua Wei 001; Peiyuan Sun; Nannan Wu; Bo Li 005 (CIT/IUCC/DASC/PICom, 2015)

Discovering Event Evolution Chain in Microblog. - Zhongyu Lu; Weiren Yu; Richong Zhang; Jianxin Li 002; Hua Wei 001 (HPCC/CSS/ICESS, 2015)

ZEST: A Hybrid Model on Predicting Passenger Demand for Chauffeured Car Service. - Hua Wei 001; Yuandong Wang; Tianyu Wo; Yaxiao Liu; Jie Xu 007 (CIKM, 2016)

IntelliLight: A Reinforcement Learning Approach for Intelligent Traffic Light Control. - Hua Wei 001; Guanjie Zheng; Huaxiu Yao; Zhenhui Li (KDD, 2018)

Context-Aware Location Annotation on Mobility Records Through User Grouping. - Yong Zhang; Hua Wei 001; Xuelian Lin; Fei Wu 007; Zhenhui Li; Kaiheng Chen; Yuandong Wang; Jie Xu 007 (PAKDD (3), 2018)

Modeling Spatial-Temporal Dynamics for Traffic Prediction. - Huaxiu Yao; Xianfeng Tang; Hua Wei 001; Guanjie Zheng; Yanwei Yu; Zhenhui Li (CoRR, 2018)

Revisiting Spatial-Temporal Similarity: A Deep Learning Framework for Traffic Prediction. - Huaxiu Yao; Xianfeng Tang; Hua Wei 001; Guanjie Zheng; Zhenhui Li (AAAI, 2019)

CoLight: Learning Network-level Cooperation for Traffic Signal Control. - Hua Wei 001; Nan Xu; Huichu Zhang; Guanjie Zheng; Xinshi Zang; Chacha Chen; Weinan Zhang 001; Yanmin Zhu 006; Kai Xu 014; Zhenhui Li (CIKM, 2019)

Learning Phase Competition for Traffic Signal Control. - Guanjie Zheng; Yuanhao Xiong; Xinshi Zang; Jie Feng 002; Hua Wei 001; Huichu Zhang; Yong Li 008; Kai Xu 014; Zhenhui Li (CIKM, 2019)

PressLight: Learning Max Pressure Control to Coordinate Traffic Signals in Arterial Network. - Hua Wei 001; Chacha Chen; Guanjie Zheng; Kan Wu; Vikash V. Gayah; Kai Xu 014; Zhenhui Li (KDD, 2019)

Learning Task-Specific City Region Partition. - Hongjian Wang 002; Porter Jenkins; Hua Wei 001; Fei Wu 007; Zhenhui Li (WWW, 2019)

A Survey on Traffic Signal Control Methods. - Hua Wei 001; Guanjie Zheng; Vikash V. Gayah; Zhenhui Li (CoRR, 2019)

Diagnosing Reinforcement Learning for Traffic Signal Control. - Guanjie Zheng; Xinshi Zang; Nan Xu; Hua Wei 001; Zhengyao Yu; Vikash V. Gayah; Kai Xu 014; Zhenhui Li (CoRR, 2019)

A Unified Framework with Multi-source Data for Predicting Passenger Demands of Ride Services. - Yuandong Wang; Xuelian Lin; Hua Wei 001; Tianyu Wo; Zhou Huang; Yong Zhang; Jie Xu 007 (ACM Trans. Knowl. Discov. Data, 2019)

Toward A Thousand Lights: Decentralized Deep Reinforcement Learning for Large-Scale Traffic Signal Control. - Chacha Chen; Hua Wei 001; Nan Xu; Guanjie Zheng; Ming Yang; Yuanhao Xiong; Kai Xu 014; Zhenhui Li (AAAI, 2020)

Learning to Simulate on Sparse Trajectory Data. - Hua Wei 001; Chacha Chen; Chang Liu 021; Guanjie Zheng; Zhenhui Li (ECML/PKDD (4), 2020)

A Probabilistic Simulator of Spatial Demand for Product Allocation. - Porter Jenkins; Hua Wei 001; J. Stockton Jenkins; Zhenhui Li (CoRR, 2020)

Learning to Simulate Human Movement. - Hua Wei 001; Zhenhui Li (CoRR, 2020)

Recent Advances in Reinforcement Learning for Traffic Signal Control: A Survey of Models and Evaluation. - Hua Wei 001; Guanjie Zheng; Vikash V. Gayah; Zhenhui Li (SIGKDD Explor., 2020)

How Do We Move: Modeling Human Movement with System Dynamics. - Hua Wei 001; Dongkuan Xu; Junjie Liang; Zhenhui Li (AAAI, 2021)

Transformer-Style Relational Reasoning with Dynamic Memory Updating for Temporal Network Modeling. - Dongkuan Xu; Junjie Liang; Wei Cheng 002; Hua Wei 001; Haifeng Chen; Xiang Zhang 001 (AAAI, 2021)

Probabilistic simulation of spatial demand for intelligent product allocation. - Porter Jenkins; Hua Wei 001; J. Stockton Jenkins; Zhenhui Li (GeoSim@SIGSPATIAL, 2021)

Rebuilding City-Wide Traffic Origin Destination from Road Speed Data. - Guanjie Zheng; Chang Liu 021; Hua Wei 001; Chacha Chen; Zhenhui Li (ICDE, 2021)

Boosting Offline Reinforcement Learning with Residual Generative Modeling. - Hua Wei 001; Deheng Ye; Zhao Liu; Hao Wu; Bo Yuan 008; Qiang Fu 016; Wei Yang 032; Zhenhui Li (IJCAI, 2021)

Knowledge-based Residual Learning. - Guanjie Zheng; Chang Liu 021; Hua Wei 001; Porter Jenkins; Chacha Chen; Tao Wen 006; Zhenhui Li (IJCAI, 2021)

Bayesian Model-Based Offline Reinforcement Learning for Product Allocation. - Porter Jenkins; Hua Wei 001; J. Stockton Jenkins; Zhenhui Li (AAAI, 2022)

The Third Workshop on Data-driven Intelligent Transportation. - Hua Wei 001; Guni Sharon; Cathy Wu 002; Sanjay Chawla; Zhenhui Li (CIKM, 2022)

Modeling Network-level Traffic Flow Transitions on Sparse Data. - Xiaoliang Lei; Hao Mei; Bin Shi; Hua Wei 001 (KDD, 2022)

Honor of Kings Arena: an Environment for Generalization in Competitive Reinforcement Learning. - Hua Wei 001; Jingxiao Chen; Xiyang Ji; Hongyang Qin; Minwen Deng; Siqin Li; Liang Wang 015; Weinan Zhang 001; Yong Yu 001; Liu Lin; Lanxiao Huang; Deheng Ye; et al. (NeurIPS, 2022)

HMES: A Scalable Human Mobility and Epidemic Simulation System with Fast Intervention Modeling. - Haoyu Geng; Guanjie Zheng; Zhengqing Han; Hua Wei 001; Zhenhui Li (SmartWorld/UIC/ScalCom/DigitalTwin/PriComp/Meta, 2022)

SafeLight: A Reinforcement Learning Method toward Collision-Free Traffic Signal Control. - Wenlu Du; Junyi Ye; Jingyi Gu; Jing Li 025; Hua Wei 001; Guiling Wang 001 (AAAI, 2023)

Sim2Real Transfer for Traffic Signal Control. - Longchao Da; Hao Mei; Romir Sharma; Hua Wei 001 (CASE, 2023)

Uncertainty-Aware Grounded Action Transformation Towards Sim-to-Real Transfer for Traffic Signal Control. - Longchao Da; Hao Mei; Romir Sharma; Hua Wei 001 (CDC, 2023)

Toward Efficient Traffic Signal Control: Smaller Network Can Do More. - Shuya Li; Hao Mei; Jianwei Li 004; Hua Wei 001; Dongkuan Xu (CDC, 2023)

Rethinking Sentiment Analysis under Uncertainty. - Yuefei Wu; Bin Shi; Jiarun Chen; Yuhang Liu; Bo Dong 001; Qinghua Zheng; Hua Wei 001 (CIKM, 2023)

Uncertainty-aware Traffic Prediction under Missing Data. - Hao Mei; Junxian Li 001; Zhiming Liang; Guanjie Zheng; Bin Shi; Hua Wei 001 (ICDM, 2023)

Reinforcement Learning Approaches for Traffic Signal Control under Missing Data. - Hao Mei; Junxian Li 001; Bin Shi; Hua Wei 001 (IJCAI, 2023)

MixupExplainer: Generalizing Explanations for Graph Neural Networks with Data Augmentation. - Jiaxing Zhang 002; Dongsheng Luo; Hua Wei 001 (KDD, 2023)

Learning to Calibrate Hybrid Hyperparameters: a Study on Traffic Simulation. - Wanpeng Xu; Hua Wei 001 (SIGSIM-PADS, 2023)

FDTI: Fine-Grained Deep Traffic Inference with Roadnet-Enriched Graph. - Zhanyu Liu; Chumeng Liang; Guanjie Zheng; Hua Wei 001 (ECML/PKDD (7), 2023)

RegExplainer: Generating Explanations for Graph Neural Networks in Regression Task. - Jiaxing Zhang 002; Zhuomin Chen; Hao Mei; Dongsheng Luo; Hua Wei 001 (CoRR, 2023)

Safety in Traffic Management Systems: A Comprehensive Survey. - Wenlu Du; Ankan Dash; Jing Li 025; Hua Wei 001; Guiling Wang 001 (CoRR, 2023)

LLM Powered Sim-to-real Transfer for Traffic Signal Control. - Longchao Da; Minchiuan Gao; Hao Mei; Hua Wei 001 (CoRR, 2023)

Prompt to Transfer: Sim-to-Real Transfer for Traffic Signal Control with Prompt Learning. - Longchao Da; Minquan Gao; Hao Mei; Hua Wei 001 (AAAI, 2024)

Probabilistic Offline Policy Ranking with Approximate Bayesian Computation. - Longchao Da; Porter Jenkins; Trevor Schwantes; Jeffrey Dotson; Hua Wei 001 (AAAI, 2024)

The Evidence Contraction Issue in Deep Evidential Regression: Discussion and Solution. - Yuefei Wu; Bin Shi; Bo Dong 001; Qinghua Zheng; Hua Wei 001 (AAAI, 2024)

Uncertainty Regularized Evidential Regression. - Kai Ye 002; Tiejin Chen; Hua Wei 001; Liang Zhan (AAAI, 2024)

Shaded Route Planning Using Active Segmentation and Identification of Satellite Images. - Longchao Da; Rohan Chhibba; Rushabh Jaiswal; Ariane Middel; Hua Wei 001 (CIKM, 2024)

MalLight: Influence-Aware Coordinated Traffic Signal Control for Traffic Signal Malfunctions. - Qinchen Yang; Zejun Xie; Hua Wei 001; Desheng Zhang; Yu Yang 010 (CIKM, 2024)

AdaTrans: Adaptive Transfer Time Prediction for Multi-modal Transportation Modes. - Shuxin Zhong; Hua Wei 001; Wenjun Lyu; Guang Yang 028; Zhiqing Hong; Guang Wang 001; Yu Yang 010; Desheng Zhang (CIKM, 2024)

eTraM: Event-Based Traffic Monitoring Dataset. - Aayush Atul Verma; Bharatesh Chakravarthi; Arpitsinh Vaghela; Hua Wei 001; Yezhou Yang (CVPR, 2024)

Towards Robust Fidelity for Evaluating Explainability of Graph Neural Networks. - Xu Zheng 003; Farhad Shirani 001; Tianchun Wang; Wei Cheng 002; Zhuomin Chen; Haifeng Chen; Hua Wei 001; Dongsheng Luo (ICLR, 2024)

Generating In-Distribution Proxy Graphs for Explaining Graph Neural Networks. - Zhuomin Chen; Jiaxing Zhang 002; Jingchao Ni; Xiaoting Li; Yuchen Bian; Md Mezbahul Islam; Ananda Mondal; Hua Wei 001; Dongsheng Luo (ICML, 2024)

X-Light: Cross-City Traffic Signal Control Using Transformer on Transformer as Meta Multi-Agent Reinforcement Learner. - Haoyuan Jiang; Ziyue Li 002; Hua Wei 001; Xuantang Xiong; Jingqing Ruan; Jiaming Lu; Hangyu Mao; Rui Zhao 001 (IJCAI, 2024)

SynTraC: A Synthetic Dataset for Traffic Signal Control from Traffic Monitoring Cameras. - Tiejin Chen; Prithvi Shirke; Bharatesh Chakravarthi; Arpitsinh Vaghela; Longchao Da; Duo Lu; Yezhou Yang; Hua Wei 001 (ITSC, 2024)

CoSLight: Co-optimizing Collaborator Selection and Decision-making to Enhance Traffic Signal Control. - Jingqing Ruan; Ziyue Li 002; Hua Wei 001; Haoyuan Jiang; Jiaming Lu; Xuantang Xiong; Hangyu Mao; Rui Zhao 001 (KDD, 2024)

Metacognitive AI: Framework and the Case for a Neurosymbolic Approach. - Hua Wei 001; Paulo Shakarian; Christian Lebiere; Bruce A. Draper; Nikhil Krishnaswamy; Sergei Nirenburg (NeSy (2), 2024)

RegExplainer: Generating Explanations for Graph Neural Networks in Regression Tasks. - Jiaxing Zhang 002; Zhuomin Chen; Hao Mei; Longchao Da; Dongsheng Luo; Hua Wei 001 (NeurIPS, 2024)

Spatial-Temporal PDE Networks for Traffic Flow Forecasting. - Tianshu Bao; Hua Wei 001; Junyi Ji; Daniel B. Work; Taylor T. Johnson (ECML/PKDD (10), 2024)

CityFlowER: An Efficient and Realistic Traffic Simulator with Embedded Machine Learning Models. - Longchao Da; Chen Chu; Weinan Zhang 001; Hua Wei 001 (ECML/PKDD (8), 2024)

When eBPF Meets Machine Learning: On-the-fly OS Kernel Compartmentalization. - Zicheng Wang; Tiejin Chen; Qinrun Dai; Yueqi Chen 001; Hua Wei 001; Qingkai Zeng 002 (CoRR, 2024)

Interpreting Graph Neural Networks with In-Distributed Proxies. - Zhuomin Chen; Jiaxing Zhang 002; Jingchao Ni; Xiaoting Li; Yuchen Bian; Md Mezbahul Islam; Ananda Mohan Mondal; Hua Wei 001; Dongsheng Luo (CoRR, 2024)

Teaching MLP More Graph Information: A Three-stage Multitask Knowledge Distillation Framework. - Junxian Li 001; Bin Shi; Erfei Cui; Hua Wei 001; Qinghua Zheng (CoRR, 2024)

Privacy-preserving Fine-tuning of Large Language Models through Flatness. - Tiejin Chen; Longchao Da; Huixue Zhou; Pingzhi Li; Kaixiong Zhou; Tianlong Chen 001; Hua Wei 001 (CoRR, 2024)

Are Classification Robustness and Explanation Robustness Really Strongly Correlated? An Analysis Through Input Loss Landscape. - Tiejin Chen; Wenwang Huang; Linsey Pang; Dongsheng Luo; Hua Wei 001 (CoRR, 2024)

SEVD: Synthetic Event-based Vision Dataset for Ego and Fixed Traffic Perception. - Manideep Reddy Aliminati; Bharatesh Chakravarthi; Aayush Atul Verma; Arpitsinh Vaghela; Hua Wei 001; Xuesong Zhou; Yezhou Yang (CoRR, 2024)

Flexible Heteroscedastic Count Regression with Deep Double Poisson Networks. - Spencer Young; Porter Jenkins; Longchao Da; Jeffrey Dotson; Hua Wei 001 (CoRR, 2024)

LLM Uncertainty Quantification through Directional Entailment Graph and Claim Level Response Augmentation. - Longchao Da; Tiejin Chen; Lu Cheng; Hua Wei 001 (CoRR, 2024)

GuideLight: "Industrial Solution" Guidance for More Practical Traffic Signal Control Agents. - Haoyuan Jiang; Xuantang Xiong; Ziyue Li 002; Hangyu Mao; Guanghu Sui; Jingqing Ruan; Yuheng Cheng; Hua Wei 001; Wolfgang Ketter; Rui Zhao 001 (CoRR, 2024)

LLMExplainer: Large Language Model based Bayesian Inference for Graph Explanation Generation. - Jiaxing Zhang 002; Jiayi Liu 005; Dongsheng Luo; Jennifer Neville; Hua Wei 001 (CoRR, 2024)

Segment as You Wish - Free-Form Language-Based Segmentation for Medical Images. - Longchao Da; Rui Wang; Xiaojian Xu 010; Parminder Bhatia; Taha A. Kass-Hout; Hua Wei 001; Cao Xiao (CoRR, 2024)

Political-LLM: Large Language Models in Political Science. - Lincan Li; Jiaqi Li; Catherine Chen 003; Fred Gui; Hongjia Yang; Chenxiao Yu; Zhengguang Wang; Jianing Cai; Junlong Aaron Zhou; Bolin Shen; Alex Qian; Weixin Chen; et al. (CoRR, 2024)

Libsignal: an open library for traffic signal control. - Hao Mei; Xiaoliang Lei; Longchao Da; Bin Shi; Hua Wei 001 (Mach. Learn., 2024)

Open-ti: open traffic intelligence with augmented language model. - Longchao Da; Kuanru Liou; Tiejin Chen; Xuesong Zhou; Xiangyong Luo; Yezhou Yang; Hua Wei 001 (Int. J. Mach. Learn. Cybern., 2024)

Vision Language Model Helps Private Information De-Identification in Vision Data. - Tiejin Chen; Pingzhi Li; Kaixiong Zhou; Tianlong Chen 001; Hua Wei 001 (ACL (Findings), 2025)

Unveiling Privacy Risks in Multi-modal Large Language Models: Task-specific Vulnerabilities and Mitigation Challenges. - Tiejin Chen; Pingzhi Li; Kaixiong Zhou; Tianlong Chen 001; Hua Wei 001 (ACL (Findings), 2025)

Uncertainty Quantification for Physics-Informed Traffic Graph Networks. - Tianshu Bao; Xiaoou Liu; Meiyi Ma; Taylor T. Johnson; Hua Wei 001 (ICCPS, 2025)

Reproducible and Low-cost Sim-to-Real Environment for Traffic Signal Control. - Yiran Zhang; Khoa Vo 002; Longchao Da; Tiejin Chen; Xiaoou Liu; Hua Wei 001 (ICCPS, 2025)

Protecting Privacy against Membership Inference Attack with LLM Fine-tuning through Flatness. - Tiejin Chen; Longchao Da; Huixue Zhou; Pingzhi Li; Kaixiong Zhou; Tianlong Chen 001; Hua Wei 001 (SDM, 2025)

CoMAL: Collaborative Multi-Agent Large Language Models for Mixed-Autonomy Traffic. - Huaiyuan Yao; Longchao Da; Vishnu Nandam; Justin Turnau; Zhiwei Liu 001; Linsey Pang; Hua Wei 001 (SDM, 2025)

The 3rd Workshop on AI Agent for Information Retrieval: Generating and Ranking. - Qingsong Wen; Yongfeng Zhang; Zhiwei Liu 001; Julian J. McAuley; Hua Wei 001; Linsey Pang; Wei Liu 007; Philip S. Yu (WWW (Companion Volume), 2025)

MC-BEVRO: Multi-Camera Bird Eye View Road Occupancy Detection for Traffic Monitoring. - Arpitsinh Vaghela; Duo Lu; Aayush Atul Verma; Bharatesh Chakravarthi; Hua Wei 001; Yezhou Yang (CoRR, 2025)

A Survey of Sim-to-Real Methods in RL: Progress, Prospects and Challenges with Foundation Models. - Longchao Da; Justin Turnau; Thirulogasankar Pranav Kutralingam; Alvaro Velasquez; Paulo Shakarian; Hua Wei 001 (CoRR, 2025)

MCQA-Eval: Efficient Confidence Evaluation in NLG with Gold-Standard Correctness Labels. - Xiaoou Liu; Zhen Lin 001; Longchao Da; Chacha Chen; Shubhendu Trivedi; Hua Wei 001 (CoRR, 2025)

Uncertainty Quantification of Large Language Models through Multi-Dimensional Responses. - Tiejin Chen; Xiaoou Liu; Longchao Da; Jia Chen 002; Vagelis Papalexakis; Hua Wei 001 (CoRR, 2025)

Understanding the Uncertainty of LLM Explanations: A Perspective Based on Reasoning Topology. - Longchao Da; Xiaoou Liu; Jiaxin Dai; Lu Cheng; Yaqing Wang; Hua Wei 001 (CoRR, 2025)

Generative AI in Transportation Planning: A Survey. - Longchao Da; Tiejin Chen; Zhuoheng Li; Shreyas Bachiraju; Huaiyuan Yao; Li Li 006; Yushun Dong; Xiyang Hu; Zhengzhong Tu; Dongjie Wang; Yue Zhao 016; Xuanyu Zhou; et al. (CoRR, 2025)

Uncertainty Quantification and Confidence Calibration in Large Language Models: A Survey. - Xiaoou Liu; Tiejin Chen; Longchao Da; Chacha Chen; Zhen Lin 001; Hua Wei 001 (CoRR, 2025)

TED: related party transaction guided tax evasion detection on heterogeneous graph. - Yiming Xu 001; Bin Shi; Bo Dong 001; Jiaxiang Wang; Hua Wei 001; Qinghua Zheng (Data Min. Knowl. Discov., 2025)

Generative AI for Autonomous Driving: Frontiers and Opportunities. - Yuping Wang; Shuo Xing; Cui Can; Renjie Li 003; Hongyuan Hua; Kexin Tian; Zhaobin Mo; Xiangbo Gao; Keshu Wu; Sulong Zhou; Hengxu You; Juntong Peng; et al. (CoRR, 2025)

Is Your Explanation Reliable: Confidence-Aware Explanation on Graph Neural Networks. - Jiaxing Zhang 002; Xiaoou Liu; Dongsheng Luo; Hua Wei 001 (CoRR, 2025)

DeepShade: Enable Shade Simulation by Text-conditioned Image Generation. - Longchao Da; Xiangrui Liu; Mithun Shivakoti; Thirulogasankar Pranav Kutralingam; Yezhou Yang; Hua Wei 001 (CoRR, 2025)

Joint-Local Grounded Action Transformation for Sim-to-Real Transfer in Multi-Agent Traffic Control. - Justin Turnau; Longchao Da; Khoa Vo 002; Ferdous Al Rafi; Shreyas Bachiraju; Tiejin Chen; Hua Wei 001 (CoRR, 2025)

MagiNet: Mask-Aware Graph Imputation Network for Incomplete Traffic Data. - Jianping Zhou 004; Bin Lu 005; Zhanyu Liu; Siyu Pan; Xuejun Feng; Hua Wei 001; Guanjie Zheng; Xinbing Wang; Chenghu Zhou (ACM Trans. Knowl. Discov. Data, 2025)