Hua Wei

155 papers A* 33A 11Journal 81Unranked 30
YearRankTypeTitle / Venue / Authors
2026 — conf
Conformal Feedback Alignment: Quantifying Answer-Level Reliability for Robust LLM Alignment.
EACL (Findings)
Tiejin Chen, Xiaoou Liu, Vishnu Nandam, Kuanru Liou, Hua Wei
2026 J jnl
Conformal Feedback Alignment: Quantifying Answer-Level Reliability for Robust LLM Alignment.
CoRR
Tiejin Chen, Xiaoou Liu, Vishnu Nandam, Kuanru Liou, Hua Wei
2026 — conf
Instructional Agents: Reducing Teaching Faculty Workload through Multi-Agent Instructional Design.
EACL (Volume 1: Long Papers)
Huaiyuan Yao, Wanpeng Xu, Justin Turnau, Nadia Kellam, Hua Wei
2026 J jnl
Lost in Execution: On the Multilingual Robustness of Tool Calling in Large Language Models.
CoRR
Zheng Luo, Thirulogasankar Pranav Kutralingam, Ogochukwu N. Okoani, Wanpeng Xu, Hua Wei, Xiyang Hu
2026 A* conf
Measuring What Matters: Scenario-Driven Evaluation for Trajectory Predictors in Autonomous Driving.
AAAI
Longchao Da, David Isele, Hua Wei, Manish Saroya
2026 J jnl
RULERS: Locked Rubrics and Evidence-Anchored Scoring for Robust LLM Evaluation.
CoRR
Yihan Hong, Huaiyuan Yao, Bolin Shen, Wanpeng Xu, Hua Wei, Yushun Dong
2026 — conf
Zer0-Jack: A memory-efficient gradient-based jailbreaking method for black box Multi-modal Large Language Models.
EACL (Volume 1: Long Papers)
Tiejin Chen, Kaishen Wang, Hua Wei
2025 — conf
4th Workshop on Uncertainty Reasoning and Quantification in Decision Making (UDM).
KDD (2)
Xujiang Zhao, Chen Zhao, Feng Chen, Jin-Hee Cho, Hua Wei, Haifeng Chen
2025 J jnl
A Survey of Sim-to-Real Methods in RL: Progress, Prospects and Challenges with Foundation Models.
CoRR
Longchao Da, Justin Turnau, Thirulogasankar Pranav Kutralingam, Alvaro Velasquez, Paulo Shakarian, Hua Wei
2025 J jnl
A Survey on Multi-agent Reinforcement Learning for Adaptive Transportation Solutions.
SN Comput. Sci.
Jintao Liang, Xinqi Du, Yilin Liu, Ziyue Li, Haoyuan Jiang, Zhishuai Li, Cheng Long, Hua Wei, Wolfgang Ketter
2025 — conf
Adaptive Traffic Steering in Open RAN: Integrating Rule-Based Policies with Reinforcement Learning.
INFOCOM WKSHPS
Utkarsh Sharma, Hua Wei, Mingzhe Chen, Jie Xu, Yuchen Liu
2025 J jnl
Are Classification Robustness and Explanation Robustness Really Strongly Correlated? An Analysis Through Input Loss Landscape.
SIGKDD Explor.
Tiejin Chen, Wenwang Huang, Linsey Pang, Dongsheng Luo, Hua Wei
2025 A conf
CoMAL: Collaborative Multi-Agent Large Language Models for Mixed-Autonomy Traffic.
SDM
Huaiyuan Yao, Longchao Da, Vishnu Nandam, Justin Turnau, Zhiwei Liu, Linsey Pang, Hua Wei
2025 A* conf
DeepShade: Enable Shade Simulation by Text-conditioned Image Generation.
IJCAI
Longchao Da, Xiangrui Liu, Mithun Shivakoti, Thirulogasankar Pranav Kutralingam, Yezhou Yang, Hua Wei
2025 J jnl
DeepShade: Enable Shade Simulation by Text-conditioned Image Generation.
CoRR
Longchao Da, Xiangrui Liu, Mithun Shivakoti, Thirulogasankar Pranav Kutralingam, Yezhou Yang, Hua Wei
2025 J jnl
FM-LC: A Hierarchical Framework for Urban Flood Mapping by Land Cover Identification Models.
CoRR
Xin Hong, Longchao Da, Hua Wei
2025 J jnl
FM-LC: A Hierarchical Framework for Urban Flood Mapping by Land-Cover Identification Models.
IEEE Geosci. Remote. Sens. Lett.
Xin Hong, Longchao Da, Hua Wei
2025 — conf
FlanS: A Foundation Model for Free-Form Language-based Segmentation in Medical Images.
KDD (2)
Longchao Da, Rui Wang, Xiaojian Xu, Parminder Bhatia, Taha A. Kass-Hout, Hua Wei, Cao Xiao
2025 A* conf
Fully Heteroscedastic Count Regression with Deep Double Poisson Networks.
ICML
Spencer Young, Porter Jenkins, Longchao Da, Jeffrey Dotson, Hua Wei
2025 A* conf
GE-Chat: A Graph Enhanced RAG Framework for Evidential Response Generation of LLMs.
IJCAI
Longchao Da, Parth Mitesh Shah, Kuanru Liou, Jiaxing Zhang, Hua Wei
2025 J jnl
GE-Chat: A Graph Enhanced RAG Framework for Evidential Response Generation of LLMs.
CoRR
Longchao Da, Parth Mitesh Shah, Kuanru Liou, Jiaxing Zhang, Hua Wei
2025 J jnl
Generative AI for Autonomous Driving: Frontiers and Opportunities.
CoRR
Yuping Wang, Shuo Xing, Cui Can, Renjie Li, Hongyuan Hua, Kexin Tian, Zhaobin Mo, Xiangbo Gao, Keshu Wu, Sulong Zhou, Hengxu You, Juntong Peng, Junge Zhang, Zehao Wang, Rui Song, Mingxuan Yan, Walter Zimmer, Xingcheng Zhou, Peiran Li, Zhaohan Lu, Chia-Ju Chen, Yue Huang, Ryan A. Rossi, Lichao Sun, Hongkai Yu, Zhiwen Fan, Hao (Frank) Yang, Yuhao Kang, Ross Greer, Chenxi Liu, Eun Hak Lee, Xuan Di, Xinyue Ye, Liu Ren, Alois Knoll, Xiaopeng Li, Shuiwang Ji, Masayoshi Tomizuka, Marco Pavone, Laurence Tianruo Yang, Jing Du, Ming-Hsuan Yang, Hua Wei, Ziran Wang, Yang Zhou, Jiachen Li, Zhengzhong Tu
2025 J jnl
Generative AI in Transportation Planning: A Survey.
CoRR
Longchao Da, Tiejin Chen, Zhuoheng Li, Shreyas Bachiraju, Huaiyuan Yao, Li Li, Yushun Dong, Xiyang Hu, Zhengzhong Tu, Dongjie Wang, Yue Zhao, Xuanyu Zhou, Ram Pendyala, Benjamin Stabler, Yezhou Yang, Xuesong Zhou, Hua Wei
2025 J jnl
Instructional Agents: LLM Agents on Automated Course Material Generation for Teaching Faculties.
CoRR
Huaiyuan Yao, Wanpeng Xu, Justin Turnau, Nadia Kellam, Hua Wei
2025 — conf
Is Your Explanation Reliable: Confidence-Aware Explanation on Graph Neural Networks.
KDD (2)
Jiaxing Zhang, Xiaoou Liu, Dongsheng Luo, Hua Wei
2025 J jnl
Is Your Explanation Reliable: Confidence-Aware Explanation on Graph Neural Networks.
CoRR
Jiaxing Zhang, Xiaoou Liu, Dongsheng Luo, Hua Wei
2025 J jnl
Joint-Local Grounded Action Transformation for Sim-to-Real Transfer in Multi-Agent Traffic Control.
CoRR
Justin Turnau, Longchao Da, Khoa Vo, Ferdous Al Rafi, Shreyas Bachiraju, Tiejin Chen, Hua Wei
2025 — conf
MC-BEVRO: Multi-Camera Bird Eye View Road Occupancy Detection for Traffic Monitoring.
ITSC
Arpitsinh Vaghela, Duo Lu, Aayush Atul Verma, Bharatesh Chakravarthi, Hua Wei, Yezhou Yang
2025 J jnl
MC-BEVRO: Multi-Camera Bird Eye View Road Occupancy Detection for Traffic Monitoring.
CoRR
Arpitsinh Vaghela, Duo Lu, Aayush Atul Verma, Bharatesh Chakravarthi, Hua Wei, Yezhou Yang
2025 J jnl
MCQA-Eval: Efficient Confidence Evaluation in NLG with Gold-Standard Correctness Labels.
CoRR
Xiaoou Liu, Zhen Lin, Longchao Da, Chacha Chen, Shubhendu Trivedi, Hua Wei
2025 J jnl
MagiNet: Mask-Aware Graph Imputation Network for Incomplete Traffic Data.
ACM Trans. Knowl. Discov. Data
Jianping Zhou, Bin Lu, Zhanyu Liu, Siyu Pan, Xuejun Feng, Hua Wei, Guanjie Zheng, Xinbing Wang, Chenghu Zhou
2025 J jnl
Management Actions Enhanced Traffic Prediction Under Sparse Data.
IEEE Trans. Intell. Transp. Syst.
Zhiming Liang, Bin Shi, Bo Dong, Hua Wei
2025 J jnl
Measuring What Matters: Scenario-Driven Evaluation for Trajectory Predictors in Autonomous Driving.
CoRR
Longchao Da, David Isele, Hua Wei, Manish Saroya
2025 A conf
Protecting Privacy against Membership Inference Attack with LLM Fine-tuning through Flatness.
SDM
Tiejin Chen, Longchao Da, Huixue Zhou, Pingzhi Li, Kaixiong Zhou, Tianlong Chen, Hua Wei
2025 A* conf
RISE: Radius of Influence based Subgraph Extraction for 3D Molecular Graph Explanation.
ICML
Jingxiang Qu, Wenhan Gao, Jiaxing Zhang, Xufeng Liu, Hua Wei, Haibin Ling, Yi Liu
2025 J jnl
RISE: Radius of Influence based Subgraph Extraction for 3D Molecular Graph Explanation.
CoRR
Jingxiang Qu, Wenhan Gao, Jiaxing Zhang, Xufeng Liu, Hua Wei, Haibin Ling, Yi Liu
2025 — conf
Reproducible and Low-cost Sim-to-Real Environment for Traffic Signal Control.
ICCPS
Yiran Zhang, Khoa Vo, Longchao Da, Tiejin Chen, Xiaoou Liu, Hua Wei
2025 J jnl
TED: related party transaction guided tax evasion detection on heterogeneous graph.
Data Min. Knowl. Discov.
Yiming Xu, Bin Shi, Bo Dong, Jiaxiang Wang, Hua Wei, Qinghua Zheng
2025 — conf
The 3rd Workshop on AI Agent for Information Retrieval: Generating and Ranking.
WWW (Companion Volume)
Qingsong Wen, Yongfeng Zhang, Zhiwei Liu, Julian J. McAuley, Hua Wei, Linsey Pang, Wei Liu, Philip S. Yu
2025 — conf
The 4th Workshop on AI Agent for Information Retrieval: Generating and Ranking.
KDD (2)
Qingsong Wen, Yongfeng Zhang, Zhiwei Liu, Julian J. McAuley, Hua Wei, Linsey Pang, Wei Liu, Philip S. Yu
2025 — conf
Uncertainty Quantification and Confidence Calibration in Large Language Models: A Survey.
KDD (2)
Xiaoou Liu, Tiejin Chen, Longchao Da, Chacha Chen, Zhen Lin, Hua Wei
2025 J jnl
Uncertainty Quantification and Confidence Calibration in Large Language Models: A Survey.
CoRR
Xiaoou Liu, Tiejin Chen, Longchao Da, Chacha Chen, Zhen Lin, Hua Wei
2025 — conf
Uncertainty Quantification for Physics-Informed Traffic Graph Networks.
ICCPS
Tianshu Bao, Xiaoou Liu, Meiyi Ma, Taylor T. Johnson, Hua Wei
2025 J jnl
Uncertainty Quantification of Large Language Models through Multi-Dimensional Responses.
CoRR
Tiejin Chen, Xiaoou Liu, Longchao Da, Jia Chen, Vagelis Papalexakis, Hua Wei
2025 J jnl
Understanding the Uncertainty of LLM Explanations: A Perspective Based on Reasoning Topology.
CoRR
Longchao Da, Xiaoou Liu, Jiaxin Dai, Lu Cheng, Yaqing Wang, Hua Wei
2025 — conf
Unveiling Privacy Risks in Multi-modal Large Language Models: Task-specific Vulnerabilities and Mitigation Challenges.
ACL (Findings)
Tiejin Chen, Pingzhi Li, Kaixiong Zhou, Tianlong Chen, Hua Wei
2025 — conf
Vision Language Model Helps Private Information De-Identification in Vision Data.
ACL (Findings)
Tiejin Chen, Pingzhi Li, Kaixiong Zhou, Tianlong Chen, Hua Wei
2025 A conf
cMALC-D: Contextual Multi-Agent LLM-Guided Curriculum Learning with Diversity-Based Context Blending.
CIKM
Anirudh Satheesh, Keenan Powell, Hua Wei
2025 J jnl
cMALC-D: Contextual Multi-Agent LLM-Guided Curriculum Learning with Diversity-Based Context Blending.
CoRR
Anirudh Satheesh, Keenan Powell, Hua Wei
2024 A conf
AdaTrans: Adaptive Transfer Time Prediction for Multi-modal Transportation Modes.
CIKM
Shuxin Zhong, Hua Wei, Wenjun Lyu, Guang Yang, Zhiqing Hong, Guang Wang, Yu Yang, Desheng Zhang
2024 J jnl
Are Classification Robustness and Explanation Robustness Really Strongly Correlated? An Analysis Through Input Loss Landscape.
CoRR
Tiejin Chen, Wenwang Huang, Linsey Pang, Dongsheng Luo, Hua Wei
2024 — conf
CityFlowER: An Efficient and Realistic Traffic Simulator with Embedded Machine Learning Models.
ECML/PKDD (8)
Longchao Da, Chen Chu, Weinan Zhang, Hua Wei
2024 J jnl
CityFlowER: An Efficient and Realistic Traffic Simulator with Embedded Machine Learning Models.
CoRR
Longchao Da, Chen Chu, Weinan Zhang, Hua Wei
2024 J jnl
CoMAL: Collaborative Multi-Agent Large Language Models for Mixed-Autonomy Traffic.
CoRR
Huaiyuan Yao, Longchao Da, Vishnu Nandam, Justin Turnau, Zhiwei Liu, Linsey Pang, Hua Wei
2024 A* conf
CoSLight: Co-optimizing Collaborator Selection and Decision-making to Enhance Traffic Signal Control.
KDD
Jingqing Ruan, Ziyue Li, Hua Wei, Haoyuan Jiang, Jiaming Lu, Xuantang Xiong, Hangyu Mao, Rui Zhao
2024 J jnl
CoSLight: Co-optimizing Collaborator Selection and Decision-making to Enhance Traffic Signal Control.
CoRR
Jingqing Ruan, Ziyue Li, Hua Wei, Haoyuan Jiang, Jiaming Lu, Xuantang Xiong, Hangyu Mao, Rui Zhao
2024 J jnl
Flexible Heteroscedastic Count Regression with Deep Double Poisson Networks.
CoRR
Spencer Young, Porter Jenkins, Longchao Da, Jeffrey Dotson, Hua Wei
2024 J jnl
GUS-Net: Social Bias Classification in Text with Generalizations, Unfairness, and Stereotypes.
CoRR
Maximus Powers, Umang Mavani, Harshitha Reddy Jonala, Ansh Tiwari, Hua Wei
2024 A* conf
Generating In-Distribution Proxy Graphs for Explaining Graph Neural Networks.
ICML
Zhuomin Chen, Jiaxing Zhang, Jingchao Ni, Xiaoting Li, Yuchen Bian, Md Mezbahul Islam, Ananda Mondal, Hua Wei, Dongsheng Luo
2024 J jnl
GuideLight: "Industrial Solution" Guidance for More Practical Traffic Signal Control Agents.
CoRR
Haoyuan Jiang, Xuantang Xiong, Ziyue Li, Hangyu Mao, Guanghu Sui, Jingqing Ruan, Yuheng Cheng, Hua Wei, Wolfgang Ketter, Rui Zhao
2024 J jnl
Interpreting Graph Neural Networks with In-Distributed Proxies.
CoRR
Zhuomin Chen, Jiaxing Zhang, Jingchao Ni, Xiaoting Li, Yuchen Bian, Md Mezbahul Islam, Ananda Mohan Mondal, Hua Wei, Dongsheng Luo
2024 J jnl
LLM Uncertainty Quantification through Directional Entailment Graph and Claim Level Response Augmentation.
CoRR
Longchao Da, Tiejin Chen, Lu Cheng, Hua Wei
2024 J jnl
LLMExplainer: Large Language Model based Bayesian Inference for Graph Explanation Generation.
CoRR
Jiaxing Zhang, Jiayi Liu, Dongsheng Luo, Jennifer Neville, Hua Wei
2024 J jnl
Libsignal: an open library for traffic signal control.
Mach. Learn.
Hao Mei, Xiaoliang Lei, Longchao Da, Bin Shi, Hua Wei
2024 J jnl
MagiNet: Mask-Aware Graph Imputation Network for Incomplete Traffic Data.
CoRR
Jianping Zhou, Bin Lu, Zhanyu Liu, Siyu Pan, Xuejun Feng, Hua Wei, Guanjie Zheng, Xinbing Wang, Chenghu Zhou
2024 A conf
MalLight: Influence-Aware Coordinated Traffic Signal Control for Traffic Signal Malfunctions.
CIKM
Qinchen Yang, Zejun Xie, Hua Wei, Desheng Zhang, Yu Yang
2024 J jnl
MalLight: Influence-Aware Coordinated Traffic Signal Control for Traffic Signal Malfunctions.
CoRR
Qinchen Yang, Zejun Xie, Hua Wei, Desheng Zhang, Yu Yang
2024 — conf
Metacognitive AI: Framework and the Case for a Neurosymbolic Approach.
NeSy (2)
Hua Wei, Paulo Shakarian, Christian Lebiere, Bruce A. Draper, Nikhil Krishnaswamy, Sergei Nirenburg
2024 J jnl
Metacognitive AI: Framework and the Case for a Neurosymbolic Approach.
CoRR
Hua Wei, Paulo Shakarian, Christian Lebiere, Bruce A. Draper, Nikhil Krishnaswamy, Sergei Nirenburg
2024 J jnl
Open-TI: Open Traffic Intelligence with Augmented Language Model.
CoRR
Longchao Da, Kuanru Liou, Tiejin Chen, Xuesong Zhou, Xiangyong Luo, Yezhou Yang, Hua Wei
2024 J jnl
Open-ti: open traffic intelligence with augmented language model.
Int. J. Mach. Learn. Cybern.
Longchao Da, Kuanru Liou, Tiejin Chen, Xuesong Zhou, Xiangyong Luo, Yezhou Yang, Hua Wei
2024 J jnl
Political-LLM: Large Language Models in Political Science.
CoRR
Lincan Li, Jiaqi Li, Catherine Chen, Fred Gui, Hongjia Yang, Chenxiao Yu, Zhengguang Wang, Jianing Cai, Junlong Aaron Zhou, Bolin Shen, Alex Qian, Weixin Chen, Zhongkai Xue, Lichao Sun, Lifang He, Hanjie Chen, Kaize Ding, Zijian Du, Fangzhou Mu, Jiaxin Pei, Jieyu Zhao, Swabha Swayamdipta, Willie Neiswanger, Hua Wei, Xiyang Hu, Shixiang Zhu, Tianlong Chen, Yingzhou Lu, Yang Shi, Lianhui Qin, Tianfan Fu, Zhengzhong Tu, Yuzhe Yang, Jaemin Yoo, Jiaheng Zhang, Ryan A. Rossi, Liang Zhan, Liang Zhao, Emilio Ferrara, Yan Liu, Furong Huang, Xiangliang Zhang, Lawrence Rothenberg, Shuiwang Ji, Philip S. Yu, Yue Zhao, Yushun Dong
2024 J jnl
Privacy-preserving Fine-tuning of Large Language Models through Flatness.
CoRR
Tiejin Chen, Longchao Da, Huixue Zhou, Pingzhi Li, Kaixiong Zhou, Tianlong Chen, Hua Wei
2024 A* conf
Probabilistic Offline Policy Ranking with Approximate Bayesian Computation.
AAAI
Longchao Da, Porter Jenkins, Trevor Schwantes, Jeffrey Dotson, Hua Wei
2024 A* conf
Prompt to Transfer: Sim-to-Real Transfer for Traffic Signal Control with Prompt Learning.
AAAI
Longchao Da, Minquan Gao, Hao Mei, Hua Wei
2024 A* conf
RegExplainer: Generating Explanations for Graph Neural Networks in Regression Tasks.
NeurIPS
Jiaxing Zhang, Zhuomin Chen, Hao Mei, Longchao Da, Dongsheng Luo, Hua Wei
2024 J jnl
SEVD: Synthetic Event-based Vision Dataset for Ego and Fixed Traffic Perception.
CoRR
Manideep Reddy Aliminati, Bharatesh Chakravarthi, Aayush Atul Verma, Arpitsinh Vaghela, Hua Wei, Xuesong Zhou, Yezhou Yang
2024 J jnl
Segment as You Wish - Free-Form Language-Based Segmentation for Medical Images.
CoRR
Longchao Da, Rui Wang, Xiaojian Xu, Parminder Bhatia, Taha A. Kass-Hout, Hua Wei, Cao Xiao
2024 A conf
Shaded Route Planning Using Active Segmentation and Identification of Satellite Images.
CIKM
Longchao Da, Rohan Chhibba, Rushabh Jaiswal, Ariane Middel, Hua Wei
2024 J jnl
Shaded Route Planning Using Active Segmentation and Identification of Satellite Images.
CoRR
Longchao Da, Rohan Chhibba, Rushabh Jaiswal, Ariane Middel, Hua Wei
2024 — conf
Spatial-Temporal PDE Networks for Traffic Flow Forecasting.
ECML/PKDD (10)
Tianshu Bao, Hua Wei, Junyi Ji, Daniel B. Work, Taylor T. Johnson
2024 — conf
SynTraC: A Synthetic Dataset for Traffic Signal Control from Traffic Monitoring Cameras.
ITSC
Tiejin Chen, Prithvi Shirke, Bharatesh Chakravarthi, Arpitsinh Vaghela, Longchao Da, Duo Lu, Yezhou Yang, Hua Wei
2024 J jnl
SynTraC: A Synthetic Dataset for Traffic Signal Control from Traffic Monitoring Cameras.
CoRR
Tiejin Chen, Prithvi Shirke, Bharatesh Chakravarthi, Arpitsinh Vaghela, Longchao Da, Duo Lu, Yezhou Yang, Hua Wei
2024 J jnl
Teaching MLP More Graph Information: A Three-stage Multitask Knowledge Distillation Framework.
CoRR
Junxian Li, Bin Shi, Erfei Cui, Hua Wei, Qinghua Zheng
2024 A* conf
The Evidence Contraction Issue in Deep Evidential Regression: Discussion and Solution.
AAAI
Yuefei Wu, Bin Shi, Bo Dong, Qinghua Zheng, Hua Wei
2024 A* conf
Towards Robust Fidelity for Evaluating Explainability of Graph Neural Networks.
ICLR
Xu Zheng, Farhad Shirani, Tianchun Wang, Wei Cheng, Zhuomin Chen, Haifeng Chen, Hua Wei, Dongsheng Luo
2024 A* conf
Uncertainty Regularized Evidential Regression.
AAAI
Kai Ye, Tiejin Chen, Hua Wei, Liang Zhan
2024 J jnl
Uncertainty Regularized Evidential Regression.
CoRR
Kai Ye, Tiejin Chen, Hua Wei, Liang Zhan
2024 J jnl
When eBPF Meets Machine Learning: On-the-fly OS Kernel Compartmentalization.
CoRR
Zicheng Wang, Tiejin Chen, Qinrun Dai, Yueqi Chen, Hua Wei, Qingkai Zeng
2024 A* conf
X-Light: Cross-City Traffic Signal Control Using Transformer on Transformer as Meta Multi-Agent Reinforcement Learner.
IJCAI
Haoyuan Jiang, Ziyue Li, Hua Wei, Xuantang Xiong, Jingqing Ruan, Jiaming Lu, Hangyu Mao, Rui Zhao
2024 J jnl
X-Light: Cross-City Traffic Signal Control Using Transformer on Transformer as Meta Multi-Agent Reinforcement Learner.
CoRR
Haoyuan Jiang, Ziyue Li, Hua Wei, Xuantang Xiong, Jingqing Ruan, Jiaming Lu, Hangyu Mao, Rui Zhao
2024 J jnl
Zer0-Jack: A Memory-efficient Gradient-based Jailbreaking Method for Black-box Multi-modal Large Language Models.
CoRR
Tiejin Chen, Kaishen Wang, Hua Wei
2024 A* conf
eTraM: Event-Based Traffic Monitoring Dataset.
CVPR
Aayush Atul Verma, Bharatesh Chakravarthi, Arpitsinh Vaghela, Hua Wei, Yezhou Yang
2024 J jnl
eTraM: Event-based Traffic Monitoring Dataset.
CoRR
Aayush Atul Verma, Bharatesh Chakravarthi, Arpitsinh Vaghela, Hua Wei, Yezhou Yang
2023 — conf
FDTI: Fine-Grained Deep Traffic Inference with Roadnet-Enriched Graph.
ECML/PKDD (7)
Zhanyu Liu, Chumeng Liang, Guanjie Zheng, Hua Wei
2023 J jnl
FDTI: Fine-grained Deep Traffic Inference with Roadnet-enriched Graph.
CoRR
Zhanyu Liu, Chumeng Liang, Guanjie Zheng, Hua Wei
2023 J jnl
HMES: A Scalable Human Mobility and Epidemic Simulation System with Fast Intervention Modeling.
CoRR
Haoyu Geng, Guanjie Zheng, Zhengqing Han, Hua Wei, Zhenhui Li
2023 J jnl
HumanLight: Incentivizing Ridesharing via Human-centric Deep Reinforcement Learning in Traffic Signal Control.
CoRR
Dimitrios M. Vlachogiannis, Hua Wei, Scott Moura, Jane MacFarlane
2023 J jnl
LLM Powered Sim-to-real Transfer for Traffic Signal Control.
CoRR
Longchao Da, Minchiuan Gao, Hao Mei, Hua Wei
2023 — conf
Learning to Calibrate Hybrid Hyperparameters: a Study on Traffic Simulation.
SIGSIM-PADS
Wanpeng Xu, Hua Wei
2023 A* conf
MixupExplainer: Generalizing Explanations for Graph Neural Networks with Data Augmentation.
KDD
Jiaxing Zhang, Dongsheng Luo, Hua Wei
2023 J jnl
MixupExplainer: Generalizing Explanations for Graph Neural Networks with Data Augmentation.
CoRR
Jiaxing Zhang, Dongsheng Luo, Hua Wei
2023 J jnl
Probabilistic Offline Policy Ranking with Approximate Bayesian Computation.
CoRR
Longchao Da, Porter Jenkins, Trevor Schwantes, Jeffrey Dotson, Hua Wei
2023 J jnl
RegExplainer: Generating Explanations for Graph Neural Networks in Regression Task.
CoRR
Jiaxing Zhang, Zhuomin Chen, Hao Mei, Dongsheng Luo, Hua Wei
2023 A* conf
Reinforcement Learning Approaches for Traffic Signal Control under Missing Data.
IJCAI
Hao Mei, Junxian Li, Bin Shi, Hua Wei
2023 J jnl
Reinforcement Learning Approaches for Traffic Signal Control under Missing Data.
CoRR
Hao Mei, Junxian Li, Bin Shi, Hua Wei
2023 A conf
Rethinking Sentiment Analysis under Uncertainty.
CIKM
Yuefei Wu, Bin Shi, Jiarun Chen, Yuhang Liu, Bo Dong, Qinghua Zheng, Hua Wei
2023 A* conf
SafeLight: A Reinforcement Learning Method toward Collision-Free Traffic Signal Control.
AAAI
Wenlu Du, Junyi Ye, Jingyi Gu, Jing Li, Hua Wei, Guiling Wang
2023 J jnl
Safety in Traffic Management Systems: A Comprehensive Survey.
CoRR
Wenlu Du, Ankan Dash, Jing Li, Hua Wei, Guiling Wang
2023 — conf
Sim2Real Transfer for Traffic Signal Control.
CASE
Longchao Da, Hao Mei, Romir Sharma, Hua Wei
2023 — conf
Toward Efficient Traffic Signal Control: Smaller Network Can Do More.
CDC
Shuya Li, Hao Mei, Jianwei Li, Hua Wei, Dongkuan Xu
2023 J jnl
Towards Robust Fidelity for Evaluating Explainability of Graph Neural Networks.
CoRR
Xu Zheng, Farhad Shirani, Tianchun Wang, Wei Cheng, Zhuomin Chen, Haifeng Chen, Hua Wei, Dongsheng Luo
2023 — conf
Uncertainty-Aware Grounded Action Transformation Towards Sim-to-Real Transfer for Traffic Signal Control.
CDC
Longchao Da, Hao Mei, Romir Sharma, Hua Wei
2023 J jnl
Uncertainty-aware Grounded Action Transformation towards Sim-to-Real Transfer for Traffic Signal Control.
CoRR
Longchao Da, Hao Mei, Romir Sharma, Hua Wei
2023 A* conf
Uncertainty-aware Traffic Prediction under Missing Data.
ICDM
Hao Mei, Junxian Li, Zhiming Liang, Guanjie Zheng, Bin Shi, Hua Wei
2023 J jnl
Uncertainty-aware Traffic Prediction under Missing Data.
CoRR
Hao Mei, Junxian Li, Zhiming Liang, Guanjie Zheng, Bin Shi, Hua Wei
2022 A* conf
Bayesian Model-Based Offline Reinforcement Learning for Product Allocation.
AAAI
Porter Jenkins, Hua Wei, J. Stockton Jenkins, Zhenhui Li
2022 — conf
HMES: A Scalable Human Mobility and Epidemic Simulation System with Fast Intervention Modeling.
SmartWorld/UIC/ScalCom/DigitalTwin/PriComp/Meta
Haoyu Geng, Guanjie Zheng, Zhengqing Han, Hua Wei, Zhenhui Li
2022 A* conf
Honor of Kings Arena: an Environment for Generalization in Competitive Reinforcement Learning.
NeurIPS
Hua Wei, Jingxiao Chen, Xiyang Ji, Hongyang Qin, Minwen Deng, Siqin Li, Liang Wang, Weinan Zhang, Yong Yu, Liu Lin, Lanxiao Huang, Deheng Ye, Qiang Fu, Wei Yang
2022 J jnl
Honor of Kings Arena: an Environment for Generalization in Competitive Reinforcement Learning.
CoRR
Hua Wei, Jingxiao Chen, Xiyang Ji, Hongyang Qin, Minwen Deng, Siqin Li, Liang Wang, Weinan Zhang, Yong Yu, Lin Liu, Lanxiao Huang, Deheng Ye, Qiang Fu, Wei Yang
2022 J jnl
LibSignal: An Open Library for Traffic Signal Control.
CoRR
Hao Mei, Xiaoliang Lei, Longchao Da, Bin Shi, Hua Wei
2022 A* conf
Modeling Network-level Traffic Flow Transitions on Sparse Data.
KDD
Xiaoliang Lei, Hao Mei, Bin Shi, Hua Wei
2022 J jnl
Modeling Network-level Traffic Flow Transitions on Sparse Data.
CoRR
Xiaoliang Lei, Hao Mei, Bin Shi, Hua Wei
2022 J jnl
SafeLight: A Reinforcement Learning Method toward Collision-free Traffic Signal Control.
CoRR
Wenlu Du, Junyi Ye, Jingyi Gu, Jing Li, Hua Wei, Guiling Wang
2022 A conf
The Third Workshop on Data-driven Intelligent Transportation.
CIKM
Hua Wei, Guni Sharon, Cathy Wu, Sanjay Chawla, Zhenhui Li
2021 A* conf
Adversarial Policy Training against Deep Reinforcement Learning.
USENIX Security Symposium
Xian Wu, Wenbo Guo, Hua Wei, Xinyu Xing
2021 A* conf
Boosting Offline Reinforcement Learning with Residual Generative Modeling.
IJCAI
Hua Wei, Deheng Ye, Zhao Liu, Hao Wu, Bo Yuan, Qiang Fu, Wei Yang, Zhenhui Li
2021 J jnl
Boosting Offline Reinforcement Learning with Residual Generative Modeling.
CoRR
Hua Wei, Deheng Ye, Zhao Liu, Hao Wu, Bo Yuan, Qiang Fu, Wei Yang, Zhenhui Li
2021 A* conf
How Do We Move: Modeling Human Movement with System Dynamics.
AAAI
Hua Wei, Dongkuan Xu, Junjie Liang, Zhenhui Li
2021 A* conf
Knowledge-based Residual Learning.
IJCAI
Guanjie Zheng, Chang Liu, Hua Wei, Porter Jenkins, Chacha Chen, Tao Wen, Zhenhui Li
2021 J jnl
Learning to Simulate on Sparse Trajectory Data.
CoRR
Hua Wei, Chacha Chen, Chang Liu, Guanjie Zheng, Zhenhui Li
2021 — conf
Probabilistic simulation of spatial demand for intelligent product allocation.
GeoSim@SIGSPATIAL
Porter Jenkins, Hua Wei, J. Stockton Jenkins, Zhenhui Li
2021 A* conf
Rebuilding City-Wide Traffic Origin Destination from Road Speed Data.
ICDE
Guanjie Zheng, Chang Liu, Hua Wei, Chacha Chen, Zhenhui Li
2021 A* conf
Transformer-Style Relational Reasoning with Dynamic Memory Updating for Temporal Network Modeling.
AAAI
Dongkuan Xu, Junjie Liang, Wei Cheng, Hua Wei, Haifeng Chen, Xiang Zhang
2020 J jnl
A Probabilistic Simulator of Spatial Demand for Product Allocation.
CoRR
Porter Jenkins, Hua Wei, J. Stockton Jenkins, Zhenhui Li
2020 J jnl
Learning to Simulate Human Movement.
CoRR
Hua Wei, Zhenhui Li
2020 — conf
Learning to Simulate on Sparse Trajectory Data.
ECML/PKDD (4)
Hua Wei, Chacha Chen, Chang Liu, Guanjie Zheng, Zhenhui Li
2020 J jnl
Recent Advances in Reinforcement Learning for Traffic Signal Control: A Survey of Models and Evaluation.
SIGKDD Explor.
Hua Wei, Guanjie Zheng, Vikash V. Gayah, Zhenhui Li
2020 A* conf
Toward A Thousand Lights: Decentralized Deep Reinforcement Learning for Large-Scale Traffic Signal Control.
AAAI
Chacha Chen, Hua Wei, Nan Xu, Guanjie Zheng, Ming Yang, Yuanhao Xiong, Kai Xu, Zhenhui Li
2019 J jnl
A Survey on Traffic Signal Control Methods.
CoRR
Hua Wei, Guanjie Zheng, Vikash V. Gayah, Zhenhui Li
2019 J jnl
A Unified Framework with Multi-source Data for Predicting Passenger Demands of Ride Services.
ACM Trans. Knowl. Discov. Data
Yuandong Wang, Xuelian Lin, Hua Wei, Tianyu Wo, Zhou Huang, Yong Zhang, Jie Xu
2019 A conf
CoLight: Learning Network-level Cooperation for Traffic Signal Control.
CIKM
Hua Wei, Nan Xu, Huichu Zhang, Guanjie Zheng, Xinshi Zang, Chacha Chen, Weinan Zhang, Yanmin Zhu, Kai Xu, Zhenhui Li
2019 J jnl
CoLight: Learning Network-level Cooperation for Traffic Signal Control.
CoRR
Hua Wei, Nan Xu, Huichu Zhang, Guanjie Zheng, Xinshi Zang, Chacha Chen, Weinan Zhang, Yanmin Zhu, Kai Xu, Zhenhui Li
2019 J jnl
Diagnosing Reinforcement Learning for Traffic Signal Control.
CoRR
Guanjie Zheng, Xinshi Zang, Nan Xu, Hua Wei, Zhengyao Yu, Vikash V. Gayah, Kai Xu, Zhenhui Li
2019 A conf
Learning Phase Competition for Traffic Signal Control.
CIKM
Guanjie Zheng, Yuanhao Xiong, Xinshi Zang, Jie Feng, Hua Wei, Huichu Zhang, Yong Li, Kai Xu, Zhenhui Li
2019 J jnl
Learning Phase Competition for Traffic Signal Control.
CoRR
Guanjie Zheng, Yuanhao Xiong, Xinshi Zang, Jie Feng, Hua Wei, Huichu Zhang, Yong Li, Kai Xu, Zhenhui Li
2019 A* conf
Learning Task-Specific City Region Partition.
WWW
Hongjian Wang, Porter Jenkins, Hua Wei, Fei Wu, Zhenhui Li
2019 A* conf
PressLight: Learning Max Pressure Control to Coordinate Traffic Signals in Arterial Network.
KDD
Hua Wei, Chacha Chen, Guanjie Zheng, Kan Wu, Vikash V. Gayah, Kai Xu, Zhenhui Li
2019 A* conf
Revisiting Spatial-Temporal Similarity: A Deep Learning Framework for Traffic Prediction.
AAAI
Huaxiu Yao, Xianfeng Tang, Hua Wei, Guanjie Zheng, Zhenhui Li
2018 — conf
Context-Aware Location Annotation on Mobility Records Through User Grouping.
PAKDD (3)
Yong Zhang, Hua Wei, Xuelian Lin, Fei Wu, Zhenhui Li, Kaiheng Chen, Yuandong Wang, Jie Xu
2018 A* conf
IntelliLight: A Reinforcement Learning Approach for Intelligent Traffic Light Control.
KDD
Hua Wei, Guanjie Zheng, Huaxiu Yao, Zhenhui Li
2018 J jnl
Modeling Spatial-Temporal Dynamics for Traffic Prediction.
CoRR
Huaxiu Yao, Xianfeng Tang, Hua Wei, Guanjie Zheng, Yanwei Yu, Zhenhui Li
2016 A conf
ZEST: A Hybrid Model on Predicting Passenger Demand for Chauffeured Car Service.
CIKM
Hua Wei, Yuandong Wang, Tianyu Wo, Yaxiao Liu, Jie Xu
2015 — conf
Discovering Event Evolution Chain in Microblog.
HPCC/CSS/ICESS
Zhongyu Lu, Weiren Yu, Richong Zhang, Jianxin Li, Hua Wei
2015 — conf
ShutterRoller: Preserving Social Network Privacy towards High-Speed Domain Gateway.
CIT/IUCC/DASC/PICom
Borui Yang, Jianxin Li, Lu Liu, Yingjie Cao, Hua Wei, Peiyuan Sun, Nannan Wu, Bo Li