Hua Wei

Publication Activity (10 Years)

Years Active: 2015-2024
Publications (10 Years): 67

Top Topics

Traffic Signal Control

Reinforcement Learning

Origin Destination

Top Venues

Publications

Spencer Young, Porter Jenkins, Longchao Da, Jeffrey Dotson, Hua Wei
Flexible Heteroscedastic Count Regression with Deep Double Poisson Networks. CoRR (2024)
Longchao Da, Tiejin Chen, Lu Cheng, Hua Wei
LLM Uncertainty Quantification through Directional Entailment Graph and Claim Level Response Augmentation. CoRR (2024)
Longchao Da, Porter Jenkins, Trevor Schwantes, Jeffrey Dotson, Hua Wei
Probabilistic Offline Policy Ranking with Approximate Bayesian Computation. AAAI (2024)
Zicheng Wang, Tiejin Chen, Qinrun Dai, Yueqi Chen, Hua Wei, Qingkai Zeng
When eBPF Meets Machine Learning: On-the-fly OS Kernel Compartmentalization. CoRR (2024)
Longchao Da, Chen Chu, Weinan Zhang, Hua Wei
CityFlowER: An Efficient and Realistic Traffic Simulator with Embedded Machine Learning Models. CoRR (2024)
Manideep Reddy Aliminati, Bharatesh Chakravarthi, Aayush Atul Verma, Arpitsinh Vaghela, Hua Wei, Xuesong Zhou, Yezhou Yang
SEVD: Synthetic Event-based Vision Dataset for Ego and Fixed Traffic Perception. CoRR (2024)
Jianping Zhou, Bin Lu, Zhanyu Liu, Siyu Pan, Xuejun Feng, Hua Wei, Guanjie Zheng, Xinbing Wang, Chenghu Zhou
MagiNet: Mask-Aware Graph Imputation Network for Incomplete Traffic Data. CoRR (2024)
Hao Mei, Xiaoliang Lei, Longchao Da, Bin Shi, Hua Wei
Libsignal: an open library for traffic signal control. Mach. Learn. 113 (8) (2024)
Tiejin Chen, Wenwang Huang, Linsey Pang, Dongsheng Luo, Hua Wei
Are Classification Robustness and Explanation Robustness Really Strongly Correlated? An Analysis Through Input Loss Landscape. CoRR (2024)
Longchao Da, Kuanru Liou, Tiejin Chen, Xuesong Zhou, Xiangyong Luo, Yezhou Yang, Hua Wei
Open-TI: Open Traffic Intelligence with Augmented Language Model. CoRR (2024)
Zhuomin Chen, Jiaxing Zhang, Jingchao Ni, Xiaoting Li, Yuchen Bian, Md Mezbahul Islam, Ananda Mohan Mondal, Hua Wei, Dongsheng Luo
Interpreting Graph Neural Networks with In-Distributed Proxies. CoRR (2024)
Longchao Da, Rohan Chhibba, Rushabh Jaiswal, Ariane Middel, Hua Wei
Shaded Route Planning Using Active Segmentation and Identification of Satellite Images. CoRR (2024)
Yuefei Wu, Bin Shi, Bo Dong, Qinghua Zheng, Hua Wei
The Evidence Contraction Issue in Deep Evidential Regression: Discussion and Solution. AAAI (2024)
Tiejin Chen, Longchao Da, Huixue Zhou, Pingzhi Li, Kaixiong Zhou, Tianlong Chen, Hua Wei
Privacy-preserving Fine-tuning of Large Language Models through Flatness. CoRR (2024)
Xu Zheng, Farhad Shirani, Tianchun Wang, Wei Cheng, Zhuomin Chen, Haifeng Chen, Hua Wei, Dongsheng Luo
Towards Robust Fidelity for Evaluating Explainability of Graph Neural Networks. ICLR (2024)
Aayush Atul Verma, Bharatesh Chakravarthi, Arpitsinh Vaghela, Hua Wei, Yezhou Yang
eTraM: Event-based Traffic Monitoring Dataset. CoRR (2024)
Jiaxing Zhang, Jiayi Liu, Dongsheng Luo, Jennifer Neville, Hua Wei
LLMExplainer: Large Language Model based Bayesian Inference for Graph Explanation Generation. CoRR (2024)
Kai Ye, Tiejin Chen, Hua Wei, Liang Zhan
Uncertainty Regularized Evidential Regression. AAAI (2024)
Longchao Da, Minquan Gao, Hao Mei, Hua Wei
Prompt to Transfer: Sim-to-Real Transfer for Traffic Signal Control with Prompt Learning. AAAI (2024)
Longchao Da, Minchiuan Gao, Hao Mei, Hua Wei
LLM Powered Sim-to-real Transfer for Traffic Signal Control. CoRR (2023)
Hao Mei, Junxian Li, Bin Shi, Hua Wei
Reinforcement Learning Approaches for Traffic Signal Control under Missing Data. IJCAI (2023)
Yuefei Wu, Bin Shi, Jiarun Chen, Yuhang Liu, Bo Dong, Qinghua Zheng, Hua Wei
Rethinking Sentiment Analysis under Uncertainty. CIKM (2023)
Longchao Da, Hao Mei, Romir Sharma, Hua Wei
Uncertainty-Aware Grounded Action Transformation Towards Sim-to-Real Transfer for Traffic Signal Control. CDC (2023)
Shuya Li, Hao Mei, Jianwei Li, Hua Wei, Dongkuan Xu
Toward Efficient Traffic Signal Control: Smaller Network Can Do More. CDC (2023)
Jiaxing Zhang, Dongsheng Luo, Hua Wei
MixupExplainer: Generalizing Explanations for Graph Neural Networks with Data Augmentation. KDD (2023)
Xu Zheng, Farhad Shirani, Tianchun Wang, Wei Cheng, Zhuomin Chen, Haifeng Chen, Hua Wei, Dongsheng Luo
Towards Robust Fidelity for Evaluating Explainability of Graph Neural Networks. CoRR (2023)
Jiaxing Zhang, Dongsheng Luo, Hua Wei
MixupExplainer: Generalizing Explanations for Graph Neural Networks with Data Augmentation. CoRR (2023)
Longchao Da, Porter Jenkins, Trevor Schwantes, Jeffrey Dotson, Hua Wei
Probabilistic Offline Policy Ranking with Approximate Bayesian Computation. CoRR (2023)
Longchao Da, Hao Mei, Romir Sharma, Hua Wei
Uncertainty-aware Grounded Action Transformation towards Sim-to-Real Transfer for Traffic Signal Control. CoRR (2023)
Haoyu Geng, Guanjie Zheng, Zhengqing Han, Hua Wei, Zhenhui Li
HMES: A Scalable Human Mobility and Epidemic Simulation System with Fast Intervention Modeling. CoRR (2023)
Longchao Da, Hao Mei, Romir Sharma, Hua Wei
Sim2Real Transfer for Traffic Signal Control. CASE (2023)
Hao Mei, Junxian Li, Zhiming Liang, Guanjie Zheng, Bin Shi, Hua Wei
Uncertainty-aware Traffic Prediction under Missing Data. ICDM (2023)
Zhanyu Liu, Chumeng Liang, Guanjie Zheng, Hua Wei
FDTI: Fine-grained Deep Traffic Inference with Roadnet-enriched Graph. CoRR (2023)
Hao Mei, Junxian Li, Zhiming Liang, Guanjie Zheng, Bin Shi, Hua Wei
Uncertainty-aware Traffic Prediction under Missing Data. CoRR (2023)
Zhanyu Liu, Chumeng Liang, Guanjie Zheng, Hua Wei
FDTI: Fine-Grained Deep Traffic Inference with Roadnet-Enriched Graph. ECML/PKDD (7) (2023)
Jiaxing Zhang, Zhuomin Chen, Hao Mei, Dongsheng Luo, Hua Wei
RegExplainer: Generating Explanations for Graph Neural Networks in Regression Task. CoRR (2023)
Haoyu Geng, Guanjie Zheng, Zhengqing Han, Hua Wei, Zhenhui Li
HMES: A Scalable Human Mobility and Epidemic Simulation System with Fast Intervention Modeling. SmartWorld/UIC/ScalCom/DigitalTwin/PriComp/Meta (2022)
Hua Wei, Guni Sheron, Cathy Wu, Sanjay Chawla, Zhenhui Li
The Third Workshop on Data-driven Intelligent Transportation. CIKM (2022)
Porter Jenkins, Hua Wei, J. Stockton Jenkins, Zhenhui Li
Bayesian Model-Based Offline Reinforcement Learning for Product Allocation. AAAI (2022)
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
Honor of Kings Arena: an Environment for Generalization in Competitive Reinforcement Learning. CoRR (2022)
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
Honor of Kings Arena: an Environment for Generalization in Competitive Reinforcement Learning. NeurIPS (2022)
Hua Wei, Deheng Ye, Zhao Liu, Hao Wu, Bo Yuan, Qiang Fu, Wei Yang, Zhenhui Li
Boosting Offline Reinforcement Learning with Residual Generative Modeling. IJCAI (2021)
Hua Wei, Deheng Ye, Zhao Liu, Hao Wu, Bo Yuan, Qiang Fu, Wei Yang, Zhenhui Li
Boosting Offline Reinforcement Learning with Residual Generative Modeling. CoRR (2021)
Guanjie Zheng, Chang Liu, Hua Wei, Porter Jenkins, Chacha Chen, Tao Wen, Zhenhui Li
Knowledge-based Residual Learning. IJCAI (2021)
Porter Jenkins, Hua Wei, J. Stockton Jenkins, Zhenhui Li
Probabilistic simulation of spatial demand for intelligent product allocation. GeoSim@SIGSPATIAL (2021)
Guanjie Zheng, Chang Liu, Hua Wei, Chacha Chen, Zhenhui Li
Rebuilding City-Wide Traffic Origin Destination from Road Speed Data. ICDE (2021)
Hua Wei, Chacha Chen, Chang Liu, Guanjie Zheng, Zhenhui Li
Learning to Simulate on Sparse Trajectory Data. CoRR (2021)
Hua Wei, Dongkuan Xu, Junjie Liang, Zhenhui Li
How Do We Move: Modeling Human Movement with System Dynamics. AAAI (2021)
Porter Jenkins, Hua Wei, J. Stockton Jenkins, Zhenhui Li
A Probabilistic Simulator of Spatial Demand for Product Allocation. CoRR (2020)
Hua Wei, Zhenhui Li
Learning to Simulate Human Movement. CoRR (2020)
Chacha Chen, Hua Wei, Nan Xu, Guanjie Zheng, Ming Yang, Yuanhao Xiong, Kai Xu, Zhenhui Li
Toward A Thousand Lights: Decentralized Deep Reinforcement Learning for Large-Scale Traffic Signal Control. AAAI (2020)
Hua Wei, Chacha Chen, Chang Liu, Guanjie Zheng, Zhenhui Li
Learning to Simulate on Sparse Trajectory Data. ECML/PKDD (4) (2020)
Hua Wei, Guanjie Zheng, Vikash V. Gayah, Zhenhui Li
Recent Advances in Reinforcement Learning for Traffic Signal Control: A Survey of Models and Evaluation. SIGKDD Explor. 22 (2) (2020)
Guanjie Zheng, Xinshi Zang, Nan Xu, Hua Wei, Zhengyao Yu, Vikash V. Gayah, Kai Xu, Zhenhui Li
Diagnosing Reinforcement Learning for Traffic Signal Control. CoRR (2019)
Huaxiu Yao, Xianfeng Tang, Hua Wei, Guanjie Zheng, Zhenhui Li
Revisiting Spatial-Temporal Similarity: A Deep Learning Framework for Traffic Prediction. AAAI (2019)
Hua Wei, Nan Xu, Huichu Zhang, Guanjie Zheng, Xinshi Zang, Chacha Chen, Weinan Zhang, Yanmin Zhu, Kai Xu, Zhenhui Li
CoLight: Learning Network-level Cooperation for Traffic Signal Control. CoRR (2019)
Hua Wei, Chacha Chen, Guanjie Zheng, Kan Wu, Vikash V. Gayah, Kai Xu, Zhenhui Li
PressLight: Learning Max Pressure Control to Coordinate Traffic Signals in Arterial Network. KDD (2019)
Guanjie Zheng, Yuanhao Xiong, Xinshi Zang, Jie Feng, Hua Wei, Huichu Zhang, Yong Li, Kai Xu, Zhenhui Li
Learning Phase Competition for Traffic Signal Control. CIKM (2019)
Hongjian Wang, Porter Jenkins, Hua Wei, Fei Wu, Zhenhui Li
Learning Task-Specific City Region Partition. WWW (2019)
Yuandong Wang, Xuelian Lin, Hua Wei, Tianyu Wo, Zhou Huang, Yong Zhang, Jie Xu
A Unified Framework with Multi-source Data for Predicting Passenger Demands of Ride Services. ACM Trans. Knowl. Discov. Data 13 (6) (2019)
Guanjie Zheng, Yuanhao Xiong, Xinshi Zang, Jie Feng, Hua Wei, Huichu Zhang, Yong Li, Kai Xu, Zhenhui Li
Learning Phase Competition for Traffic Signal Control. CoRR (2019)
Hua Wei, Guanjie Zheng, Vikash V. Gayah, Zhenhui Li
A Survey on Traffic Signal Control Methods. CoRR (2019)
Hua Wei, Nan Xu, Huichu Zhang, Guanjie Zheng, Xinshi Zang, Chacha Chen, Weinan Zhang, Yanmin Zhu, Kai Xu, Zhenhui Li
CoLight: Learning Network-level Cooperation for Traffic Signal Control. CIKM (2019)
Yong Zhang, Hua Wei, Xuelian Lin, Fei Wu, Zhenhui Li, Kaiheng Chen, Yuandong Wang, Jie Xu
Context-Aware Location Annotation on Mobility Records Through User Grouping. PAKDD (3) (2018)
Hua Wei, Guanjie Zheng, Huaxiu Yao, Zhenhui Li
IntelliLight: A Reinforcement Learning Approach for Intelligent Traffic Light Control. KDD (2018)
Huaxiu Yao, Xianfeng Tang, Hua Wei, Guanjie Zheng, Yanwei Yu, Zhenhui Li
Modeling Spatial-Temporal Dynamics for Traffic Prediction. CoRR (2018)
Hua Wei, Yuandong Wang, Tianyu Wo, Yaxiao Liu, Jie Xu
ZEST: A Hybrid Model on Predicting Passenger Demand for Chauffeured Car Service. CIKM (2016)
Borui Yang, Jianxin Li, Lu Liu, Yingjie Cao, Hua Wei, Peiyuan Sun, Nannan Wu, Bo Li
ShutterRoller: Preserving Social Network Privacy towards High-Speed Domain Gateway. CIT/IUCC/DASC/PICom (2015)
Zhongyu Lu, Weiren Yu, Richong Zhang, Jianxin Li, Hua Wei
Discovering Event Evolution Chain in Microblog. HPCC/CSS/ICESS (2015)