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Hua Wei 0001
Person information
- affiliation: Arizona State University (ASU), AZ, USA
- affiliation (former): New Jersey Institute of Technology, Newark, NJ, USA
- affiliation (former): Pennsylvania State University, PA, USA
Other persons with the same name
- Hua Wei — disambiguation page
- Hua Wei 0002
— Beijing University of Posts and Telecommunications, Beijing, China
- Hua Wei 0003
- Hua Wei 0004
- Hua Wei 0005 — University of Southampton, Southampton, UK
- Hua Wei 0006
- Hua Wei 0007
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2020 – today
- 2024
- [j4]Hao Mei, Xiaoliang Lei, Longchao Da, Bin Shi, Hua Wei
Libsignal: an open library for traffic signal control. Mach. Learn. 113(8): 5235-5271 (2024) - [j3]Longchao Da, Kuanru Liou, Tiejin Chen, Xuesong Zhou, Xiangyong Luo, Yezhou Yang, Hua Wei:
Open-ti: open traffic intelligence with augmented language model. Int. J. Mach. Learn. Cybern. 15(10): 4761-4786 (2024) - [c43]Longchao Da, Minquan Gao, Hao Mei, Hua Wei:
Prompt to Transfer: Sim-to-Real Transfer for Traffic Signal Control with Prompt Learning. AAAI 2024: 82-90 - [c42]Kai Ye, Tiejin Chen, Hua Wei, Liang Zhan:
Uncertainty Regularized Evidential Regression. AAAI 2024: 16460-16468 - [c41]Longchao Da, Porter Jenkins, Trevor Schwantes, Jeffrey Dotson, Hua Wei:
Probabilistic Offline Policy Ranking with Approximate Bayesian Computation. AAAI 2024: 20370-20378 - [c40]Yuefei Wu, Bin Shi, Bo Dong, Qinghua Zheng, Hua Wei:
The Evidence Contraction Issue in Deep Evidential Regression: Discussion and Solution. AAAI 2024: 21726-21734 - [c39]Aayush Atul Verma, Bharatesh Chakravarthi, Arpitsinh Vaghela, Hua Wei, Yezhou Yang:
eTraM: Event-Based Traffic Monitoring Dataset. CVPR 2024: 22637-22646 - [c38]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 - [c37]Zhuomin Chen, Jiaxing Zhang, Jingchao Ni, Xiaoting Li, Yuchen Bian, Md Mezbahul Islam, Ananda Mondal, Hua Wei, Dongsheng Luo:
Generating In-Distribution Proxy Graphs for Explaining Graph Neural Networks. ICML 2024 - [c36]Haoyuan Jiang, Ziyue Li, Hua Wei, Xuantang Xiong, Jingqing Ruan, Jiaming Lu, Hangyu Mao, Rui Zhao:
X-Light: Cross-City Traffic Signal Control Using Transformer on Transformer as Meta Multi-Agent Reinforcement Learner. IJCAI 2024: 94-102 - [c35]Jingqing Ruan
CoSLight: Co-optimizing Collaborator Selection and Decision-making to Enhance Traffic Signal Control. KDD 2024: 2500-2511 - [c34]Longchao Da, Chen Chu, Weinan Zhang, Hua Wei
CityFlowER: An Efficient and Realistic Traffic Simulator with Embedded Machine Learning Models. ECML/PKDD (8) 2024: 368-373 - [i43]Longchao Da, Kuanru Liou, Tiejin Chen, Xuesong Zhou, Xiangyong Luo, Yezhou Yang, Hua Wei:
Open-TI: Open Traffic Intelligence with Augmented Language Model. CoRR abs/2401.00211 (2024) - [i42]Kai Ye, Tiejin Chen, Hua Wei, Liang Zhan:
Uncertainty Regularized Evidential Regression. CoRR abs/2401.01484 (2024) - [i41]Zicheng Wang, Tiejin Chen, Qinrun Dai, Yueqi Chen, Hua Wei, Qingkai Zeng:
When eBPF Meets Machine Learning: On-the-fly OS Kernel Compartmentalization. CoRR abs/2401.05641 (2024) - [i40]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 abs/2402.02036 (2024) - [i39]Longchao Da, Chen Chu, Weinan Zhang, Hua Wei:
CityFlowER: An Efficient and Realistic Traffic Simulator with Embedded Machine Learning Models. CoRR abs/2402.06127 (2024) - [i38]Junxian Li, Bin Shi, Erfei Cui, Hua Wei, Qinghua Zheng:
Teaching MLP More Graph Information: A Three-stage Multitask Knowledge Distillation Framework. CoRR abs/2403.01079 (2024) - [i37]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 abs/2403.04124 (2024) - [i36]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 abs/2403.06013 (2024) - [i35]Aayush Atul Verma, Bharatesh Chakravarthi, Arpitsinh Vaghela, Hua Wei, Yezhou Yang:
eTraM: Event-based Traffic Monitoring Dataset. CoRR abs/2403.19976 (2024) - [i34]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 abs/2404.10540 (2024) - [i33]Haoyuan Jiang, Ziyue Li
X-Light: Cross-City Traffic Signal Control Using Transformer on Transformer as Meta Multi-Agent Reinforcement Learner. CoRR abs/2404.12090 (2024) - [i32]Jingqing Ruan, Ziyue Li, Hua Wei, Haoyuan Jiang, Jiaming Lu, Xuantang Xiong, Hangyu Mao, Rui Zhao:
CoSLight: Co-optimizing Collaborator Selection and Decision-making to Enhance Traffic Signal Control. CoRR abs/2405.17152 (2024) - [i31]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 abs/2406.03511 (2024) - [i30]Spencer Young, Porter Jenkins, Longchao Da, Jeffrey Dotson, Hua Wei:
Flexible Heteroscedastic Count Regression with Deep Double Poisson Networks. CoRR abs/2406.09262 (2024) - [i29]Longchao Da, Tiejin Chen, Lu Cheng, Hua Wei:
LLM Uncertainty Quantification through Directional Entailment Graph and Claim Level Response Augmentation. CoRR abs/2407.00994 (2024) - [i28]Haoyuan Jiang, Xuantang Xiong, Ziyue Li, Hangyu Mao, Guanghu Sui, Jingqing Ruan, Yuheng Cheng, Hua Wei, Wolfgang Ketter, Rui Zhao:
GuideLight: "Industrial Solution" Guidance for More Practical Traffic Signal Control Agents. CoRR abs/2407.10811 (2024) - [i27]Longchao Da, Rohan Chhibba, Rushabh Jaiswal, Ariane Middel, Hua Wei:
Shaded Route Planning Using Active Segmentation and Identification of Satellite Images. CoRR abs/2407.13689 (2024) - [i26]Jiaxing Zhang, Jiayi Liu, Dongsheng Luo, Jennifer Neville, Hua Wei:
LLMExplainer: Large Language Model based Bayesian Inference for Graph Explanation Generation. CoRR abs/2407.15351 (2024) - [i25]Tiejin Chen, Prithvi Shirke, Bharatesh Chakravarthi, Arpitsinh Vaghela, Longchao Da, Duo Lu, Yezhou Yang, Hua Wei:
SynTraC: A Synthetic Dataset for Traffic Signal Control from Traffic Monitoring Cameras. CoRR abs/2408.09588 (2024) - 2023
- [c33]Wenlu Du, Junyi Ye, Jingyi Gu, Jing Li, Hua Wei
SafeLight: A Reinforcement Learning Method toward Collision-Free Traffic Signal Control. AAAI 2023: 14801-14810 - [c32]Longchao Da, Hao Mei, Romir Sharma, Hua Wei:
Sim2Real Transfer for Traffic Signal Control. CASE 2023: 1-2 - [c31]Longchao Da, Hao Mei, Romir Sharma, Hua Wei:
Uncertainty-Aware Grounded Action Transformation Towards Sim-to-Real Transfer for Traffic Signal Control. CDC 2023: 1124-1129 - [c30]Shuya Li, Hao Mei, Jianwei Li, Hua Wei, Dongkuan Xu:
Toward Efficient Traffic Signal Control: Smaller Network Can Do More. CDC 2023: 8069-8074 - [c29]Yuefei Wu
Rethinking Sentiment Analysis under Uncertainty. CIKM 2023: 2775-2784 - [c28]Hao Mei, Junxian Li, Zhiming Liang, Guanjie Zheng, Bin Shi, Hua Wei:
Uncertainty-aware Traffic Prediction under Missing Data. ICDM 2023: 1223-1228 - [c27]Hao Mei, Junxian Li
Reinforcement Learning Approaches for Traffic Signal Control under Missing Data. IJCAI 2023: 2261-2269 - [c26]Jiaxing Zhang
MixupExplainer: Generalizing Explanations for Graph Neural Networks with Data Augmentation. KDD 2023: 3286-3296 - [c25]Wanpeng Xu
Learning to Calibrate Hybrid Hyperparameters: a Study on Traffic Simulation. SIGSIM-PADS 2023: 144-147 - [c24]Zhanyu Liu, Chumeng Liang, Guanjie Zheng, Hua Wei:
FDTI: Fine-Grained Deep Traffic Inference with Roadnet-Enriched Graph. ECML/PKDD (7) 2023: 174-191 - [i24]Haoyu Geng, Guanjie Zheng, Zhengqing Han, Hua Wei, Zhenhui Li:
HMES: A Scalable Human Mobility and Epidemic Simulation System with Fast Intervention Modeling. CoRR abs/2303.17464 (2023) - [i23]Hao Mei, Junxian Li
Reinforcement Learning Approaches for Traffic Signal Control under Missing Data. CoRR abs/2304.10722 (2023) - [i22]Zhanyu Liu, Chumeng Liang, Guanjie Zheng, Hua Wei
FDTI: Fine-grained Deep Traffic Inference with Roadnet-enriched Graph. CoRR abs/2306.10945 (2023) - [i21]Jiaxing Zhang, Dongsheng Luo, Hua Wei:
MixupExplainer: Generalizing Explanations for Graph Neural Networks with Data Augmentation. CoRR abs/2307.07832 (2023) - [i20]Jiaxing Zhang, Zhuomin Chen, Hao Mei, Dongsheng Luo, Hua Wei:
RegExplainer: Generating Explanations for Graph Neural Networks in Regression Task. CoRR abs/2307.07840 (2023) - [i19]Longchao Da, Hao Mei, Romir Sharma, Hua Wei:
Uncertainty-aware Grounded Action Transformation towards Sim-to-Real Transfer for Traffic Signal Control. CoRR abs/2307.12388 (2023) - [i18]Wenlu Du, Ankan Dash, Jing Li, Hua Wei, Guiling Wang:
Safety in Traffic Management Systems: A Comprehensive Survey. CoRR abs/2308.06204 (2023) - [i17]Longchao Da, Minchiuan Gao, Hao Mei, Hua Wei:
LLM Powered Sim-to-real Transfer for Traffic Signal Control. CoRR abs/2308.14284 (2023) - [i16]Hao Mei, Junxian Li
Uncertainty-aware Traffic Prediction under Missing Data. CoRR abs/2309.06800 (2023) - [i15]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 abs/2310.01820 (2023) - [i14]Longchao Da, Porter Jenkins, Trevor Schwantes, Jeffrey Dotson, Hua Wei:
Probabilistic Offline Policy Ranking with Approximate Bayesian Computation. CoRR abs/2312.11551 (2023) - 2022
- [c23]Porter Jenkins, Hua Wei, J. Stockton Jenkins, Zhenhui Li:
Bayesian Model-Based Offline Reinforcement Learning for Product Allocation. AAAI 2022: 12531-12537 - [c22]Hua Wei, Guni Sheron, Cathy Wu, Sanjay Chawla, Zhenhui Li:
The Third Workshop on Data-driven Intelligent Transportation. CIKM 2022: 5177-5178 - [c21]Xiaoliang Lei, Hao Mei
Modeling Network-level Traffic Flow Transitions on Sparse Data. KDD 2022: 835-845 - [c20]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 - [c19]Haoyu Geng, Guanjie Zheng, Zhengqing Han, Hua Wei
HMES: A Scalable Human Mobility and Epidemic Simulation System with Fast Intervention Modeling. SmartWorld/UIC/ScalCom/DigitalTwin/PriComp/Meta 2022: 468-475 - [i13]Xiaoliang Lei, Hao Mei, Bin Shi, Hua Wei:
Modeling Network-level Traffic Flow Transitions on Sparse Data. CoRR abs/2208.06646 (2022) - [i12]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 abs/2209.08483 (2022) - [i11]Hao Mei, Xiaoliang Lei, Longchao Da, Bin Shi, Hua Wei
LibSignal: An Open Library for Traffic Signal Control. CoRR abs/2211.10649 (2022) - [i10]Wenlu Du, Junyi Ye, Jingyi Gu, Jing Li, Hua Wei, Guiling Wang:
SafeLight: A Reinforcement Learning Method toward Collision-free Traffic Signal Control. CoRR abs/2211.10871 (2022) - 2021
- [c18]Hua Wei, Dongkuan Xu, Junjie Liang, Zhenhui Li:
How Do We Move: Modeling Human Movement with System Dynamics. AAAI 2021: 4445-4452 - [c17]Dongkuan Xu, Junjie Liang, Wei Cheng, Hua Wei, Haifeng Chen, Xiang Zhang:
Transformer-Style Relational Reasoning with Dynamic Memory Updating for Temporal Network Modeling. AAAI 2021: 4546-4554 - [c16]Porter Jenkins, Hua Wei, J. Stockton Jenkins, Zhenhui Li:
Probabilistic simulation of spatial demand for intelligent product allocation. GeoSim@SIGSPATIAL 2021: 9-18 - [c15]Guanjie Zheng, Chang Liu
Rebuilding City-Wide Traffic Origin Destination from Road Speed Data. ICDE 2021: 301-312 - [c14]Guanjie Zheng, Chang Liu, Hua Wei, Porter Jenkins, Chacha Chen, Tao Wen
Knowledge-based Residual Learning. IJCAI 2021: 1653-1659 - [c13]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: 3574-3580 - [i9]Hua Wei, Chacha Chen, Chang Liu, Guanjie Zheng, Zhenhui Li:
Learning to Simulate on Sparse Trajectory Data. CoRR abs/2103.11845 (2021) - [i8]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 abs/2106.10411 (2021) - 2020
- [j2]Hua Wei
Recent Advances in Reinforcement Learning for Traffic Signal Control: A Survey of Models and Evaluation. SIGKDD Explor. 22(2): 12-18 (2020) - [c12]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: 3414-3421 - [c11]Hua Wei
Learning to Simulate on Sparse Trajectory Data. ECML/PKDD (4) 2020: 530-545 - [i7]Porter Jenkins, Hua Wei, J. Stockton Jenkins, Zhenhui Li:
A Probabilistic Simulator of Spatial Demand for Product Allocation. CoRR abs/2001.03210 (2020) - [i6]Hua Wei, Zhenhui Li:
Learning to Simulate Human Movement. CoRR abs/2003.00613 (2020)
2010 – 2019
- 2019
- [j1]Yuandong Wang
A Unified Framework with Multi-source Data for Predicting Passenger Demands of Ride Services. ACM Trans. Knowl. Discov. Data 13(6): 56:1-56:24 (2019) - [c10]Huaxiu Yao, Xianfeng Tang, Hua Wei, Guanjie Zheng, Zhenhui Li:
Revisiting Spatial-Temporal Similarity: A Deep Learning Framework for Traffic Prediction. AAAI 2019: 5668-5675 - [c9]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: 1913-1922 - [c8]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: 1963-1972 - [c7]Hua Wei
PressLight: Learning Max Pressure Control to Coordinate Traffic Signals in Arterial Network. KDD 2019: 1290-1298 - [c6]Hongjian Wang
Learning Task-Specific City Region Partition. WWW 2019: 3300-3306 - [i5]Hua Wei, Guanjie Zheng, Vikash V. Gayah, Zhenhui Li:
A Survey on Traffic Signal Control Methods. CoRR abs/1904.08117 (2019) - [i4]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 abs/1905.04716 (2019) - [i3]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 abs/1905.04722 (2019) - [i2]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 abs/1905.05717 (2019) - 2018
- [c5]Hua Wei, Guanjie Zheng, Huaxiu Yao, Zhenhui Li:
IntelliLight: A Reinforcement Learning Approach for Intelligent Traffic Light Control. KDD 2018: 2496-2505 - [c4]Yong Zhang, Hua Wei
Context-Aware Location Annotation on Mobility Records Through User Grouping. PAKDD (3) 2018: 583-596 - [i1]Huaxiu Yao, Xianfeng Tang, Hua Wei, Guanjie Zheng, Yanwei Yu, Zhenhui Li:
Modeling Spatial-Temporal Dynamics for Traffic Prediction. CoRR abs/1803.01254 (2018) - 2016
- [c3]Hua Wei, Yuandong Wang, Tianyu Wo, Yaxiao Liu, Jie Xu:
ZEST: A Hybrid Model on Predicting Passenger Demand for Chauffeured Car Service. CIKM 2016: 2203-2208 - 2015
- [c2]Borui Yang, Jianxin Li, Lu Liu
ShutterRoller: Preserving Social Network Privacy towards High-Speed Domain Gateway. CIT/IUCC/DASC/PICom 2015: 1811-1818 - [c1]Zhongyu Lu, Weiren Yu, Richong Zhang, Jianxin Li, Hua Wei:
Discovering Event Evolution Chain in Microblog. HPCC/CSS/ICESS 2015: 635-640
Coauthor Index
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last updated on 2024-10-30 20:32 CET by the dblp team
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