Wei, Hua

34 publications

ICLRW 2025 Abg-SciQA: A Dataset for Understanding and Resolving Ambiguity in Scientific Questions Tiejin Chen, Kuan-Ru Liou, Mithun Shivakoti, Aaryan Gaur, Pragya Kumari, Meiqi Guo, Hua Wei

IJCAI 2025 DeepShade: Enable Shade Simulation by Text-Conditioned Image Generation Longchao Da, Xiangrui Liu, Mithun Shivakoti, Thirulogasankar Pranav Kutralingam, Yezhou Yang, Hua Wei

ICML 2025 Fully Heteroscedastic Count Regression with Deep Double Poisson Networks Spencer Young, Porter Jenkins, Longchao Da, Jeff Dotson, Hua Wei

IJCAI 2025 GE-Chat: A Graph Enhanced RAG Framework for Evidential Response Generation of LLMs Longchao Da, Parth Mitesh Shah, Kuanru Liou, Jiaxing Zhang, Hua Wei

ICML 2025 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

ECML-PKDD 2024 CityFlowER: An Efficient and Realistic Traffic Simulator with Embedded Machine Learning Models Longchao Da, Chen Chu, Weinan Zhang, Hua Wei

ICML 2024 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

MLJ 2024 Libsignal: An Open Library for Traffic Signal Control Hao Mei, Xiaoliang Lei, Longchao Da, Bin Shi, Hua Wei

ICLRW 2024 Open-TI: Open Traffic Intelligence with Augmented Language Model Longchao Da, Kuan-Ru Liou, Tiejin Chen, Xuesong Zhou, Xiangyong Luo, Yezhou Yang, Hua Wei

ICLRW 2024 Privacy-Preserving Fine-Tuning of Large Language Models Through Flatness Tiejin Chen, Longchao Da, Huixue Zhou, Pingzhi Li, Kaixiong Zhou, Tianlong Chen, Hua Wei

AAAI 2024 Probabilistic Offline Policy Ranking with Approximate Bayesian Computation Longchao Da, Porter Jenkins, Trevor Schwantes, Jeffrey Dotson, Hua Wei

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

NeurIPS 2024 RegExplainer: Generating Explanations for Graph Neural Networks in Regression Tasks Jiaxing Zhang, Zhuomin Chen, Hao Mei, Longchao Da, Dongsheng Luo, Hua Wei

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

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

ICLR 2024 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

AAAI 2024 Uncertainty Regularized Evidential Regression Kai Ye, Tiejin Chen, Hua Wei, Liang Zhan

IJCAI 2024 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

NeurIPSW 2024 Zer0-Jack: A Memory-Efficient Gradient-Based Jailbreaking Method for Black Box Multi-Modal Large Language Models Tiejin Chen, Kaishen Wang, Hua Wei

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

ECML-PKDD 2023 FDTI: Fine-Grained Deep Traffic Inference with Roadnet-Enriched Graph Zhanyu Liu, Chumeng Liang, Guanjie Zheng, Hua Wei

AAAI 2023 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

IJCAI 2023 Reinforcement Learning Approaches for Traffic Signal Control Under Missing Data Hao Mei, Junxian Li, Bin Shi, Hua Wei

AAAI 2023 SafeLight: A Reinforcement Learning Method Toward Collision-Free Traffic Signal Control Wenlu Du, Junyi Ye, Jingyi Gu, Jing Li, Hua Wei, Guiling Wang

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

NeurIPS 2022 Honor of Kings Arena: An Environment for Generalization in Competitive Reinforcement Learning Hua Wei, Jingxiao Chen, Xiyang Ji, Hongyang Qin, Minwen Deng, Siqin Li, Liang Wang, Weinan Zhang, Yong Yu, Liu Linc, Lanxiao Huang, Deheng Ye, Qiang Fu, Wei Yang

IJCAI 2021 Boosting Offline Reinforcement Learning with Residual Generative Modeling Hua Wei, Deheng Ye, Zhao Liu, Hao Wu, Bo Yuan, Qiang Fu, Wei Yang, Zhenhui Li

AAAI 2021 How Do We Move: Modeling Human Movement with System Dynamics Hua Wei, Dongkuan Xu, Junjie Liang, Zhenhui Li

IJCAI 2021 Knowledge-Based Residual Learning Guanjie Zheng, Chang Liu, Hua Wei, Porter Jenkins, Chacha Chen, Tao Wen, Zhenhui Li

CVPRW 2021 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

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

ECML-PKDD 2020 Learning to Simulate on Sparse Trajectory Data Hua Wei, Chacha Chen, Chang Liu, Guanjie Zheng, Zhenhui Li

AAAI 2020 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

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