{"id":392,"date":"2025-02-26T23:33:06","date_gmt":"2025-02-26T23:33:06","guid":{"rendered":"https:\/\/labs.engineering.asu.edu\/hw\/?page_id=392"},"modified":"2026-06-12T06:19:38","modified_gmt":"2026-06-12T06:19:38","slug":"publications","status":"publish","type":"page","link":"https:\/\/labs.engineering.asu.edu\/hw\/publications\/","title":{"rendered":"Publications"},"content":{"rendered":"\n<p class=\"wp-block-paragraph\">First authors with * are my supervised students<\/p>\n\n\n\n<h2 class=\"wp-block-heading\">Preprints<\/h2>\n\n\n\n<ul class=\"wp-block-list\">\n<li>Longchao Da*, Justin Turnau, Thirulogasankar Pranav Kutralingam, Alvaro Velasquez, Paulo Shakarian,&nbsp;<strong>Hua Wei<\/strong>.&nbsp;<a href=\"https:\/\/arxiv.org\/abs\/2502.13187\" target=\"_blank\" rel=\"noreferrer noopener\">A Survey of Sim-to-Real Methods in RL: Progress, Prospects and Challenges with Foundation Models<\/a>.<\/li>\n\n\n\n<li>Longchao Da*, Tiejin Chen, Zhuoheng Li, Shreyas Bachiraju, Huaiyuan Yao, Li Li, Yushun Dong, Xiyang Hu, Zhengzhong Tu, Dongjie Wang, Yue Zhao, Ben Zhou, Ram Pendyala, Benjamin Stabler, Yezhou Yang, Xuesong Zhou, <strong>Hua Wei<\/strong>. <a href=\"https:\/\/arxiv.org\/abs\/2503.07158\">Generative AI in Transportation Planning: A Survey<\/a>. <\/li>\n\n\n\n<li><strong>Hua Wei<\/strong>, Guanjie Zheng, Vikash Gayah, Zhenhui Li.&nbsp;<a href=\"https:\/\/traffic-signal-control.github.io\/#survey\" target=\"_blank\" rel=\"noreferrer noopener\">A Survey on Traffic Signal Control Methods<\/a>.<\/li>\n\n\n\n<li>Longchao Da*, Tiejin Chen, Lu Cheng,&nbsp;<strong>Hua Wei<\/strong>.&nbsp;<a href=\"https:\/\/arxiv.org\/abs\/2407.00994\" target=\"_blank\" rel=\"noreferrer noopener\">LLM Uncertainty Quantification through Directional Entailment Graph and Claim Level Response Augmentation<\/a>.<\/li>\n\n\n\n<li>Xiaoou Liu*, Zhen Lin, Longchao Da, Chacha Chen, Shubhendu Trivedi,&nbsp;<strong>Hua Wei<\/strong>.&nbsp;<a href=\"https:\/\/arxiv.org\/abs\/2502.14268\" target=\"_blank\" rel=\"noreferrer noopener\">MCQA-Eval: Efficient Confidence Evaluation in NLG with Gold-Standard Correctness Labels<\/a>.<\/li>\n<\/ul>\n\n\n\n<h2 class=\"wp-block-heading\">Selected Publications<\/h2>\n\n\n\n<ul class=\"wp-block-list\">\n<li>Longchao Da*, Mithun Shivakoti, Xiangrui Liu, T Pranav Kutralingam, Yezhou Yang, <strong>Hua Wei<\/strong>. <a href=\"https:\/\/arxiv.org\/abs\/2605.20510\">ShadeBench: A Benchmark Dataset for Building Shade Simulation in Sustainable Society<\/a>. In the Proceedings of the 32nd SIGKDD Conference on Knowledge Discovery and Data Mining (KDD&#8217;26 &#8211; AI for Sciences Track). Aug 2026.<\/li>\n\n\n\n<li>Zhengtao Gan, <strong>Hua Wei<\/strong>. Symmetry-aware Scientific Discovery: from Dimensionless Learning to OpenSymmetry.  In the Proceedings of the 32nd SIGKDD Conference on Knowledge Discovery and Data Mining (KDD&#8217;26 &#8211; AI for Sciences Track). Aug 2026.<\/li>\n\n\n\n<li>Xiaoou Liu*, Tiejin Chen*, Weibo Li, Xiyang Hu, <strong>Hua Wei<\/strong>. <a href=\"https:\/\/arxiv.org\/abs\/2606.07017\">The Sim-to-Real Gap of Foundation Model Agents: A Unified MDP Perspective<\/a>. In the Proceedings of the 32nd SIGKDD Conference on Knowledge Discovery and Data Mining (KDD&#8217;26 &#8211; Blue Sky Ideas Track). Aug 2026. [<a href=\"https:\/\/tiejin98.github.io\/blogs\/sim-to-real-foundation-model-agents\">blog<\/a>]<\/li>\n\n\n\n<li>Tiejin Chen*, Longchao Da, Xiaoou Liu, <strong>Hua Wei<\/strong>. <a href=\"http:\/\/arxiv.org\/abs\/2605.19220\" target=\"_blank\" rel=\"noreferrer noopener\">Position: Uncertainty Quantification in LLMs is Just Unsupervised Clustering<\/a>. In the Proceedings of the Forty-third International Conference on Machine Learning <mark style=\"background-color:rgba(0, 0, 0, 0)\" class=\"has-inline-color has-asu-orange-color\">(ICML&#8217;26, Position Paper Track)<\/mark>. July 2026. [<a href=\"https:\/\/tiejin98.github.io\/blogs\/uq-is-unsupervised-clustering\">blog<\/a>]<\/li>\n\n\n\n<li>Xiaoou Liu*, Tiejin Chen, Dengjia Zhang, Yaqing Wang, Lu Cheng, <strong>Hua Wei<\/strong>. <a href=\"http:\/\/arxiv.org\/abs\/2605.19228\" target=\"_blank\" rel=\"noreferrer noopener\">Diagnosing Multi-step Reasoning Failures in Black-box LLMs via Stepwise Confidence Attribution<\/a>. In the Proceedings of the Forty-third International Conference on Machine Learning (ICML&#8217;26). July 2026.<\/li>\n\n\n\n<li>Tiejin Chen*, Huaiyuan Yao, Jia Chen, Evangelos E. Papalexakis, <strong>Hua Wei<\/strong>. <a href=\"https:\/\/arxiv.org\/pdf\/2604.08708\">Every Response Counts: Quantifying Uncertainty of LLM-based Multi-Agent Systems through Tensor Decomposition<\/a>. In the Proceedings of the 64th Annual Meeting of the Association for Computational Linguistics (ACL&#8217;26 Main Conference). July 2026. [<a href=\"https:\/\/tiejin98.github.io\/blogs\/matu-multi-agent-uncertainty\">blog<\/a>]<\/li>\n\n\n\n<li>Tiejin Chen*, Xiaoou Liu, Longchao Da, Jia Chen, Evangelos E. Papalexakis, <strong>Hua Wei<\/strong>. <a href=\"https:\/\/arxiv.org\/abs\/2502.16820\">Uncertainty Quantification of Large Language Models through Multiple Uncertainty Sources<\/a>. In the Findings of the 64th Annual Meeting of the Association for Computational Linguistics (ACL&#8217;26 Findings). July 2026. [<a href=\"https:\/\/tiejin98.github.io\/blogs\/ms-uq-multi-source-uncertainty\">blog<\/a>]<\/li>\n\n\n\n<li>Kai Wei, Yuwen Cui, Kehan Shen, <strong>Hua Wei<\/strong>, Guangjing Wang. <a href=\"https:\/\/openreview.net\/forum?id=gdoz6pCvZ9\">A Multi-Agent Framework for High-Interaction Terminal Simulation<\/a>. In the Proceedings of the 64th Annual Meeting of the Association for Computational Linguistics (ACL&#8217;26 Main Conference). July 2026.<\/li>\n\n\n\n<li>Zheng Luo, T Pranav Kutralingam, Ogochukwu N. Okoani, Wanpeng Xu, <strong>Hua Wei<\/strong>, Xiyang Hu. <a href=\"https:\/\/arxiv.org\/abs\/2601.05366\">Lost in Execution: On the Multilingual Robustness of Tool Calling in Large Language Models<\/a>. In the Proceedings of the 64th Annual Meeting of the Association for Computational Linguistics (ACL&#8217;26 Main Conference). July 2026.<\/li>\n\n\n\n<li>Tiejin Chen, Ahmadreza Moradipari, Kyungtae Han, <strong>Hua Wei<\/strong>, Nejib Ammar. Agentic AI for Trip Planning Optimization Application. The IEEE Intelligent Vehicles Symposium (IV) 2026. June 2026. [<a href=\"https:\/\/tiejin98.github.io\/blogs\/agentic-trip-planning-optimization\">blog<\/a>]<\/li>\n\n\n\n<li>Longchao Da*,&nbsp;T Pranav Kutralingam,&nbsp;Lirong Xiang,&nbsp;<strong>Hua Wei<\/strong>. <a href=\"https:\/\/openreview.net\/forum?id=yn9dzttHvT\" target=\"_blank\" rel=\"noreferrer noopener\">Latent Adaptation of Foundation Policies for Sim-to-Real Transfer<\/a>. In the Fourteenth International Conference on Learning Representations (ICLR&#8217;26). April 2026.<\/li>\n\n\n\n<li>Rana Shahroz, Zhen Tan, Ruichen Zhang, <strong>Hua Wei<\/strong>, Tianlong Chen, Charles Fleming. <a href=\"https:\/\/openreview.net\/forum?id=5GimteSrgW\"><\/a><a href=\"https:\/\/openreview.net\/forum?id=5GimteSrgW\" target=\"_blank\" rel=\"noreferrer noopener\">CAR-LoRA: Training Compression-Aware and Robust LoRA Adapters for Evolving LLMs<\/a>. In the Fourteenth International Conference on Learning Representations (ICLR&#8217;26). April 2026.<\/li>\n\n\n\n<li>Dengjia Zhang, Xiaoou Liu, Lu Cheng, Yaqing Wang, Kenton Murray, <strong>Hua Wei<\/strong>. <a href=\"https:\/\/arxiv.org\/abs\/2602.21158\">SELAUR: Self-Evolving LLM Agent via Uncertainty-aware Rewards<\/a>. The 30th Pacific-Asia Conference on Knowledge Discovery and Data Mining (PAKDD&#8217;26). June 2026.<\/li>\n\n\n\n<li>Huaiyuan Yao*, Wanpeng Xu*, Justin Turnau, Nadia Kellam, <strong>Hua Wei<\/strong>. <a href=\"https:\/\/darl-genai.github.io\/instructional_agents_homepage\/\">Instructional Agents: Reducing Teaching Faculty Workload through Multi-Agent Instructional Design<\/a>. In the 19th Conference of the European Chapter of the Association for Computational Linguistics (EACL&#8217;26 Main Conference). March 2026. [<a href=\"https:\/\/hyan-yao.github.io\/homepage\/blog\/instructional-agents\/\">blog<\/a>]<\/li>\n\n\n\n<li>Tiejin Chen*, Kaishen Wang*, <strong>Hua Wei<\/strong>. <a href=\"https:\/\/arxiv.org\/abs\/2411.07559\">Zer0-Jack: A memory-efficient gradient-based jailbreaking method for black box Multi-modal Large Language Models<\/a>. In the 19th Conference of the European Chapter of the Association for Computational Linguistics (EACL&#8217;26 Main Conference). March 2026. [<a href=\"https:\/\/tiejin98.github.io\/blogs\/zer0-jack-blackbox-jailbreak\">blog<\/a>]<\/li>\n\n\n\n<li>Tiejin Chen*, Xiaoou Liu, Vishnu Nandam, Kuan-Ru Liou, Hua Wei. <a href=\"https:\/\/arxiv.org\/abs\/2601.17329\">Conformal Feedback Alignment: Quantifying Answer-Level Reliability for Robust LLM Alignment<\/a>. In the 19th Conference of the European Chapter of the Association for Computational Linguistics (EACL&#8217;26 Findings). March 2026. [<a href=\"https:\/\/tiejin98.github.io\/blogs\/cfa-conformal-feedback-alignment\">blog<\/a>]<\/li>\n\n\n\n<li>Longchao Da*,&nbsp;David Isele,&nbsp;<strong>Hua Wei<\/strong>,&nbsp;Manish Saroya. <a href=\"https:\/\/arxiv.org\/abs\/2512.12211\" target=\"_blank\" rel=\"noreferrer noopener\">Measuring What Matters: Scenario-Driven Evaluation for Trajectory Predictors in Autonomous Driving<\/a>. In Proceedings of the Fourtieth AAAI Conference on Artificial Intelligence (AAAI&#8217;26). Feb 2026. (Acceptance rate: 17.6%)<\/li>\n\n\n\n<li>Tiejin Chen*, Wenwang Huang, Linsey Pang, Dongsheng Luo,&nbsp;<strong>Hua Wei<\/strong>.&nbsp;<a href=\"https:\/\/arxiv.org\/html\/2403.06013v1\" target=\"_blank\" rel=\"noreferrer noopener\">Are Classification Robustness and Explanation Robustness Really Strongly Correlated? An Analysis Through Input Loss Landscape<\/a>. In ACM SIGKDD Explorations, Dec 2025. [<a href=\"https:\/\/tiejin98.github.io\/blogs\/explanation-vs-classification-robustness\">blog<\/a>]<\/li>\n\n\n\n<li>Arpitsinh Vaghela, Duo Lu, Aayush Atul Verma, Bharatesh Chakravarthi, <strong>Hua Wei<\/strong>, Yezhou Yang. <a href=\"https:\/\/arxiv.org\/abs\/2502.11287\">MC-BEVRO: Multi-Camera Bird Eye View Road Occupancy Detection for Traffic Monitoring<\/a>, In Proceedings of 28th IEEE International Conference on Intelligent Transportation Systems (ITSC&#8217;25). Nov 2025.<\/li>\n\n\n\n<li>Anirudh Satheesh,&nbsp;Keenan Powell,&nbsp;<strong>Hua Wei<\/strong>. <a href=\"https:\/\/arxiv.org\/abs\/2508.20818\" target=\"_blank\" rel=\"noreferrer noopener\">cMALC-D: Contextual Multi-Agent LLM-Guided Curriculum Learning with Diversity-Based Context Blending<\/a>, In Proceedings of the 34th ACM International Conference on Information and Knowledge Management (CIKM&#8217;25). Nov 2025.<\/li>\n\n\n\n<li>Longchao Da*, Xiangrui Liu*, Mithun Shivakoti, Thirulogasankar Pranav Kutralingam, Yezhou Yang, <strong>Hua Wei<\/strong>. <a href=\"https:\/\/arxiv.org\/abs\/2507.12103\">DeepShade: Enable Shade Simulation by Text-conditioned Image Generation<\/a>, in Proceedings of the Thirty-Fourth International Joint Conference on Artificial Intelligence (IJCAI&#8217;25).<\/li>\n\n\n\n<li>Longchao Da*, Xiaoou Liu, Jiaxin Dai, Lu Cheng, Yaqing Wang,&nbsp;<strong>Hua Wei<\/strong>.&nbsp;<a href=\"https:\/\/arxiv.org\/abs\/2502.17026\" target=\"_blank\" rel=\"noreferrer noopener\">Understanding the Uncertainty of LLM Explanations: A Perspective Based on Reasoning Topology<\/a>. In Proceedings of the Second Conference on Language Modeling (COLM&#8217;25). Oct 2025.<\/li>\n\n\n\n<li>Tiejin Chen*, Pingzhi Li, Kaixiong Zhou, Tianlong Chen, <strong>Hua Wei<\/strong>. <a href=\"https:\/\/aclanthology.org\/2025.findings-acl.237.pdf\">Unveiling Privacy Risks in Multi-modal Large Language Models: Task-specific Vulnerabilities and Mitigation Challenges<\/a>. Findings of the Association for Computational Linguistics ACL 2025 (ACL&#8217;25 Findings). July 2025. [<a href=\"https:\/\/tiejin98.github.io\/blogs\/mm-privacy-multimodal-leakage\">blog<\/a>]<\/li>\n\n\n\n<li>Tiejin Chen*, Pingzhi Li, Kaixiong Zhou, Tianlong Chen, <strong>Hua Wei.<\/strong> <a href=\"https:\/\/aclanthology.org\/2025.findings-acl.236\/\">Vision Language Model Helps Private Information De-Identification in Vision Data<\/a>. Findings of the Association for Computational Linguistics ACL 2025 (ACL&#8217;25 Findings). July 2025. [<a href=\"https:\/\/tiejin98.github.io\/blogs\/visshield-vlm-deidentification\">blog<\/a>]<\/li>\n\n\n\n<li>Justin Turnau*,&nbsp;Longchao Da,&nbsp;Khoa Vo,&nbsp;Ferdous Al Rafi,&nbsp;Shreyas Bachiraju,&nbsp;Tiejin Chen,&nbsp;<strong>Hua Wei<\/strong>. <a href=\"https:\/\/rlj.cs.umass.edu\/2025\/papers\/RLJ_RLC_2025_256.pdf\" target=\"_blank\" rel=\"noreferrer noopener\">Joint-Local Grounded Action Transformation for Sim-to-Real Transfer in Multi-Agent Traffic Control<\/a>. In Proceedings of the 2nd Reinforcement Learning Conference (RLC&#8217;25). Aug 2025.<\/li>\n\n\n\n<li>Jiaxing Zhang*, Xiaoou Liu, Dongsheng Luo, <strong>Hua Wei<\/strong>. <a href=\"https:\/\/arxiv.org\/abs\/2506.00437\">Is Your Explanation Reliable: Confidence-Aware Explanation on Graph Neural Networks<\/a>. In the Proceedings of the 31st ACM SIGKDD International Conference on Knowledge Discovery and Data Mining (KDD&#8217;25). Aug 2025.<\/li>\n\n\n\n<li>Longchao Da*, Rui Wang, Xiaojian Xu, Parminder Bhatia, Taha Kass-Hout, <strong>Hua Wei<\/strong>, Cao Xiao. <a href=\"https:\/\/dl.acm.org\/doi\/10.1145\/3711896.3736963\">FlanS &#8211; A Foundation Model for Free-Form Language-based Segmentation in Medical Images<\/a>. In the Proceedings of the 31st ACM SIGKDD International Conference on Knowledge Discovery and Data Mining (KDD&#8217;25). Aug 2025.<\/li>\n\n\n\n<li>Xiaoou Liu*, Tiejin Chen*, Longchao Da, Chacha Chen, Zhen Lin, <strong>Hua Wei<\/strong>. <mark style=\"background-color:rgba(0, 0, 0, 0)\" class=\"has-inline-color has-asu-orange-color\"><a href=\"https:\/\/arxiv.org\/abs\/2503.15850\">Uncertainty Quantification and Confidence Calibration in Large Language Models: A Survey<\/a>.<\/mark> In the Proceedings of the 31st ACM SIGKDD International Conference on Knowledge Discovery and Data Mining <mark style=\"background-color:rgba(0, 0, 0, 0)\" class=\"has-inline-color has-asu-orange-color\">(KDD&#8217;25, Survey Track)<\/mark>. Aug 2025. [<a href=\"https:\/\/tiejin98.github.io\/blogs\/llm-uncertainty-quantification-survey\">blog<\/a>]<\/li>\n\n\n\n<li>Spencer Young,&nbsp;Porter Jenkins,&nbsp;Longchao Da,&nbsp;Jeff Dotson,&nbsp;<strong>Hua Wei<\/strong>. <a href=\"https:\/\/arxiv.org\/abs\/2406.09262\">Fully Heteroscedastic Count Regression with Deep Double Poisson Networks<\/a>. In the Proceedings of the 42nd International Conference on Machine Learning (ICML&#8217;25). July 2025.<\/li>\n\n\n\n<li>Jingxiang Qu<em>,&nbsp;<\/em>Wenhan Gao<em>,&nbsp;<\/em>Jiaxing Zhang<em>,&nbsp;<\/em>Xufeng Liu<em>,&nbsp;<\/em><strong>Hua Wei<\/strong><em>,&nbsp;<\/em>Haibin Ling<em>,&nbsp;<\/em>Yi Liu. <a href=\"RISE: Radius of Influence based Subgraph Extraction for 3D Molecular Graph Explanation\"><\/a><a href=\"https:\/\/arxiv.org\/abs\/2505.02247\">RISE: Radius of Influence-based Subgraph Extraction for 3D Molecular Graph Explanation<\/a>. In the Proceedings of the 42nd International Conference on Machine Learning (ICML&#8217;25). July 2025.<\/li>\n\n\n\n<li>Longchao Da*, Parth Mitesh Shah, Kuan-Ru Liou, Jiaxing Zhang, <strong>Hua Wei<\/strong>. <a href=\"https:\/\/arxiv.org\/abs\/2505.10143\">GE-Chat: A Graph Enhanced RAG Framework for Evidential Response Generation of LLMs<\/a>. In Proceedings of the 34th International Joint Conference on Artificial Intelligence (IJCAI&#8217;25). Aug 2025.<\/li>\n\n\n\n<li>Yiran Zhang*, Khoa Vo, Longchao Da, Tiejin Chen, Xiaoou Liu, <strong>Hua Wei<\/strong>. <a href=\"https:\/\/dl.acm.org\/doi\/10.1145\/3716550.3725161\">Reproducible and Low-cost Sim-to-real Environment for Traffic Signal Control<\/a>. In the International Conference on Cyber-Physical Systems (ICCPS\u201925). May 2025.<\/li>\n\n\n\n<li>Tianshu Bao, Xiaoou Liu*, Meiyi Ma, Taylor T Johnson,&nbsp;<strong>Hua Wei<\/strong>.&nbsp;<a href=\"https:\/\/dl.acm.org\/doi\/10.1145\/3716550.3722023\">Uncertainty Quantification for Physics-Informed Traffic Graph Networks<\/a>. In the International Conference on Cyber-Physical Systems (ICCPS&#8217;25). May 2025. <mark style=\"background-color:rgba(0, 0, 0, 0)\" class=\"has-inline-color has-asu-orange-color\">(Best Artifact Award)<\/mark> [<a href=\"https:\/\/github.com\/tianshubao1\/uq4phy_traffic_network\">code<\/a>]<\/li>\n\n\n\n<li>Huaiyuan Yao*, Longchao Da*, Vishnu Nandam, Justin Turnau, Zhiwei Liu, Linsey Pang,&nbsp;<strong>Hua Wei<\/strong>.&nbsp;<a href=\"https:\/\/arxiv.org\/abs\/2410.14368\" target=\"_blank\" rel=\"noreferrer noopener\">CoMAL: Collaborative Multi-Agent Large Language Models for Mixed-Autonomy Traffic<\/a>. In the SIAM International Conference on Data Mining (SDM&#8217;25). April 2025. <mark style=\"background-color:rgba(0, 0, 0, 0)\" class=\"has-inline-color has-asu-orange-color\">(Best Poster Award)<\/mark> [<a href=\"https:\/\/hyan-yao.github.io\/homepage\/blog\/comal\/\">blog<\/a>]<\/li>\n\n\n\n<li>Tiejin Chen*, Longchao Da, Huixue Zhou, Pingzhi Li, Kaixiong Zhou, Tianlong Chen,&nbsp;<strong>Hua Wei<\/strong>.&nbsp;<a href=\"https:\/\/arxiv.org\/html\/2403.04124v1\" target=\"_blank\" rel=\"noreferrer noopener\">Protecting Privacy against Membership Inference Attack with LLM Fine-tuning through Flatness<\/a>. In the SIAM International Conference on Data Mining (SDM&#8217;25). (Short version presented at ICLR 2024 Workshop on Secure and Trustworthy Large Language Models). April 2025. [<a href=\"https:\/\/tiejin98.github.io\/blogs\/privacyflat\">blog<\/a>]<\/li>\n\n\n\n<li>Jiaxing Zhang*, Zhuomin Chen, Hao Mei, Longchao Da, Dongsheng Luo,&nbsp;<strong>Hua Wei<\/strong>. 2024.&nbsp;<a href=\"https:\/\/arxiv.org\/abs\/2307.07840\" target=\"_blank\" rel=\"noreferrer noopener\">RegExplainer: Generating Explanations for Graph Neural Networks in Regression Tasks<\/a>. In the Proceedings of the 28th Annual Conference on Neural Information Processing Systems (NeurIPS&#8217;24). (Short version is presented in Learning on Graphs Conference 2023)<\/li>\n\n\n\n<li><strong>Hua Wei*<\/strong>, Paulo Shakarian*, Christian Lebiere, Bruce Draper, Nikhil Krishnaswamy, Sergei Nirenburg.&nbsp;<a href=\"https:\/\/arxiv.org\/abs\/2406.12147\" target=\"_blank\" rel=\"noreferrer noopener\">Metacognitive AI: Framework and the Case for a Neurosymbolic Approach<\/a>. In International Conference on Neural-Symbolic Learning and Reasoning (NeSy). Springer.<\/li>\n\n\n\n<li>Longchao Da*, Rohan Chhibba, Rushabh Jaiswal, Ariane Middel,&nbsp;<strong>Hua Wei<\/strong>.&nbsp;<a href=\"https:\/\/arxiv.org\/abs\/2407.13689\" target=\"_blank\" rel=\"noreferrer noopener\">Shaded Route Planning Using Active Segmentation and Identification of Satellite Images<\/a>. In Proceedings of 33rd ACM International Conference on Information and Knowledge Management (CIKM&#8217;24).<\/li>\n\n\n\n<li>Qinchen Yang, Zejun Xie,&nbsp;<strong>Hua Wei<\/strong>, Desheng Zhang and Yu Yang.&nbsp;<a href=\"https:\/\/arxiv.org\/abs\/2408.09768v2\" target=\"_blank\" rel=\"noreferrer noopener\">MalLight: Influence-Aware Coordinated Traffic Signal Control for Traffic Signal Malfunctions<\/a>. In Proceedings of 33rd ACM International Conference on Information and Knowledge Management (CIKM&#8217;24).<\/li>\n\n\n\n<li>Shuxin Zhong,&nbsp;<strong>Hua Wei<\/strong>, Wenjun Lyu, Guang Yang, Zhiqing Hong, Guang Wang, Yu Yang and Desheng Zhang.&nbsp;<a href=\"https:\/\/www.public.asu.edu\/~hwei27\/publications.html\" target=\"_blank\" rel=\"noreferrer noopener\">AdaTrans: Adaptive Transfer Time Prediction for Multi-modal Transportation Modes<\/a>. In Proceedings of 33rd ACM International Conference on Information and Knowledge Management (CIKM&#8217;24).<\/li>\n\n\n\n<li>Tiejin Chen*, Prithvi Parag Shirke*, Bharatesh Chakravarthi, Arpitsinh Rohitkumar Vaghela, Longchao Da, Duo Lu, Yezhou Yang,&nbsp;<strong>Hua Wei<\/strong>.&nbsp;<a href=\"https:\/\/arxiv.org\/abs\/2408.09588\" target=\"_blank\" rel=\"noreferrer noopener\">SynTraC: A Synthetic Dataset for Traffic Signal Control from Traffic Monitoring Cameras<\/a>. In Proceedings of 27th IEEE International Conference on Intelligent Transportation Systems (ITSC&#8217;24). [<a href=\"https:\/\/github.com\/DaRL-LibSignal\/SynTraC\" target=\"_blank\" rel=\"noreferrer noopener\">code<\/a>, <a href=\"https:\/\/tiejin98.github.io\/blogs\/syntrac-traffic-signal-dataset\">blog<\/a>]<\/li>\n\n\n\n<li>Qinrun Dai, Tiejin Chen, Zicheng Wang,&nbsp;<strong>Hua Wei<\/strong>, Yueqi Chen.&nbsp;<a target=\"_blank\" rel=\"noreferrer noopener\">Stop! Sandboxing Exploitable Functions and Modules Using In-Kernel Machine Learning<\/a>. BlackHat USA 2024 Briefing.<\/li>\n\n\n\n<li>Longchao Da*, Chen Chu, Weinan Zhang,&nbsp;<strong>Hua Wei<\/strong>.&nbsp;<a href=\"https:\/\/arxiv.org\/abs\/2402.06127\" target=\"_blank\" rel=\"noreferrer noopener\">CityFlowER: An Efficient and Realistic Traffic Simulator with Embedded Machine Learning Models<\/a>. In Proceedings of the European Conference on Machine Learning and Principles and Practice of Knowledge Discovery in Databases 2024 (ECML-PKDD 2024), Sep 2024. [<a href=\"https:\/\/github.com\/cityflow-project\/CityFlowER\" target=\"_blank\" rel=\"noreferrer noopener\">code<\/a>]<\/li>\n\n\n\n<li>Tianshu Bao,&nbsp;<strong>Hua Wei<\/strong>, Junyi Ji, Daniel Work, Taylor Johnson.&nbsp;<a href=\"https:\/\/link.springer.com\/chapter\/10.1007\/978-3-031-70381-2_11\" target=\"_blank\" rel=\"noreferrer noopener\">Spatial-Temporal PDE Networks for Traffic Flow Forecasting.<\/a>&nbsp;In Proceedings of the European Conference on Machine Learning and Principles and Practice of Knowledge Discovery in Databases 2024 (ECML-PKDD 2024), Sep 2024<\/li>\n\n\n\n<li>Jingqing Ruan, Ziyue Li,&nbsp;<strong>Hua Wei<\/strong>, Haoyuan Jiang, Jiaming Lu, Xuantang Xiong, Hangyu Mao, Rui Zhao.&nbsp;<a href=\"https:\/\/arxiv.org\/abs\/2405.17152\" target=\"_blank\" rel=\"noreferrer noopener\">CoSLight: Co-optimizing Collaborator Selection and Decision-making to Enhance Traffic Signal Control.&nbsp;<\/a>In Proceedings of the 30th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining (KDD 2024), Aug 2024<\/li>\n\n\n\n<li>Longchao Da*, Kuanru Liou, Tiejin Chen, Xuesong Zhou, Xiangyong Luo, Yezhou Yang,&nbsp;<strong>Hua Wei<\/strong>.&nbsp;<a href=\"https:\/\/arxiv.org\/abs\/2401.00211\" target=\"_blank\" rel=\"noreferrer noopener\">Open-TI: Open Traffic Intelligence with Augmented Language Model<\/a>. International Journal of Machine Learning and Cybernetics (IJMLC, IF: 5.6).\uff08Presented at ICLR 2024 Workshop on Large Language Model Agents)[<a href=\"https:\/\/github.com\/darl-libsignal\/openti\" target=\"_blank\" rel=\"noreferrer noopener\">code<\/a>]<\/li>\n\n\n\n<li>Zhuomin Chen, Jiaxing Zhang, Jingchao Ni, Xiaoting Li, Yuchen Bian, Md Mezbahul Isam, Ananda Mondal,&nbsp;<strong>Hua Wei<\/strong>, Dongsheng Luo. 2024.&nbsp;<a href=\"https:\/\/openreview.net\/forum?id=ohG9bVMs5j\" target=\"_blank\" rel=\"noreferrer noopener\">Generating In-Distribution Proxy Graphs for Explainable Graph Neural Networks<\/a>. In Forty-first International Conference on Machine Learning (ICML&#8217;24).<\/li>\n\n\n\n<li>Dimitris M. Vlachogiannis,&nbsp;<strong>Hua Wei<\/strong>, Scott Moura, Jane Macfarlane.&nbsp;<a href=\"https:\/\/www.sciencedirect.com\/science\/article\/pii\/S0968090X24001141\" target=\"_blank\" rel=\"noreferrer noopener\">HumanLight: Incentivizing Ridesharing via Human-centric Deep Reinforcement Learning in Traffic Signal Control<\/a>. Transportation Research Part C: Emerging Technologies (TR-C), Volume 162, May 2024<\/li>\n\n\n\n<li>Aayush Atul Verma, Bharatesh Chakravarthi, Arpitsinh Vaghela,&nbsp;<strong>Hua Wei<\/strong>, Yezhou Yang. 2024.&nbsp;<a href=\"https:\/\/arxiv.org\/html\/2403.19976\" target=\"_blank\" rel=\"noreferrer noopener\">eTraM: Event-based Traffic Monitoring Dataset<\/a>. In Conference on Computer Vision and Pattern Recognition 2024 (CVPR&#8217;24). [<a href=\"https:\/\/eventbasedvision.github.io\/eTraM\" target=\"_blank\" rel=\"noreferrer noopener\">code<\/a>]<\/li>\n\n\n\n<li>Xu Zheng, Farhad Shirani, Tianchun Wang, Wei Cheng, Zhuomin Chen, Haifeng Chen,&nbsp;<strong>Hua Wei<\/strong>, Dongsheng Luo. 2024.&nbsp;<a href=\"https:\/\/openreview.net\/forum?id=up6hr4hIQH\" target=\"_blank\" rel=\"noreferrer noopener\">Towards Robust Fidelity for Evaluating Explainability of Graph Neural Networks<\/a>. In International Conference on Learning Representations 2024 (ICLR&#8217;24). <mark style=\"background-color:rgba(0, 0, 0, 0)\" class=\"has-inline-color has-asu-orange-color\">(Best Paper Runner-up in&nbsp;<a href=\"https:\/\/trustlogworkshop.github.io\/\" target=\"_blank\" rel=\"noreferrer noopener\">TrustLOG Workshop@WWW 2024<\/a>)<\/mark><\/li>\n\n\n\n<li>Longchao Da*, Minchiuan Gao, Hao Mei,&nbsp;<strong>Hua Wei<\/strong>. 2024.&nbsp;<a href=\"https:\/\/arxiv.org\/abs\/2308.14284\" target=\"_blank\" rel=\"noreferrer noopener\">Prompt to transfer: Sim-to-real Transfer for Traffic Signal Control with Prompt Learning<\/a>. In Proceedings of the Thirty-Eighth AAAI Conference on Artificial Intelligence (AAAI&#8217;24). (Acceptance rate: 23.75%) [<a href=\"https:\/\/github.com\/DaRL-LibSignal\/PromptGAT\" target=\"_blank\" rel=\"noreferrer noopener\">code<\/a>]<\/li>\n\n\n\n<li>Longchao Da*, Porter Jenkins, Trevor Schwantes, Jeffrey Dotson,&nbsp;<strong>Hua Wei<\/strong>. 2024.&nbsp;<a href=\"https:\/\/arxiv.org\/abs\/2312.11551.pdf\" target=\"_blank\" rel=\"noreferrer noopener\">Probabilistic Offline Policy Ranking with Approximate Bayesian Computation<\/a>. In Proceedings of the Thirty-Eighth AAAI Conference on Artificial Intelligence (AAAI&#8217;24). (Acceptance rate: 23.75%)<\/li>\n\n\n\n<li>Kai Ye, Tiejin Chen,&nbsp;<strong>Hua Wei<\/strong>, Liang Zhan. 2024.&nbsp;<a href=\"https:\/\/arxiv.org\/abs\/2401.01484\" target=\"_blank\" rel=\"noreferrer noopener\">Uncertainty Regularized Evidential Regression<\/a>. In Proceedings of the Thirty-Eighth AAAI Conference on Artificial Intelligence (AAAI&#8217;24). (Acceptance rate: 23.75%) [<a href=\"https:\/\/github.com\/FlynnYe\/UR-ERN\" target=\"_blank\" rel=\"noreferrer noopener\">code<\/a>]<\/li>\n\n\n\n<li>Yuefei Wu, Bin Shi, Bo Dong, Qinghua Zheng,&nbsp;<strong>Hua Wei<\/strong>. 2024.&nbsp;<a href=\"https:\/\/labs.engineering.asu.edu\/hw\/publications\/\" target=\"_blank\" rel=\"noreferrer noopener\">The Evidence Contraction Issue in Deep Evidential Regression: Discussion and Solution<\/a>. In Proceedings of the Thirty-Eighth AAAI Conference on Artificial Intelligence (AAAI&#8217;24). (Safe, Robust and Responsible AI Track, Acceptance rate: 21.3%)<\/li>\n\n\n\n<li>Hao Mei*, Xiaoliang Lei, Longchao Da, Bin Shi,&nbsp;<strong>Hua Wei<\/strong>. 2023.&nbsp;<a href=\"https:\/\/darl-libsignal.github.io\/\" target=\"_blank\" rel=\"noreferrer noopener\">LibSignal: An Open Library for Traffic Signal Control<\/a>. Machine Learning (IF: 7.5). 2023. (Short version is presented in NeurIPS 2022 Reinforcement Learning for Real Life Workshop).<\/li>\n\n\n\n<li>Hao Mei*, Junxian Li, Zhiming Liang, Guanjie Zheng, Bin Shi,&nbsp;<strong>Hua Wei<\/strong>. 2023.&nbsp;<a href=\"https:\/\/arxiv.org\/abs\/2309.06800\" target=\"_blank\" rel=\"noreferrer noopener\">Uncertainty-aware Traffic Prediction under Missing Data<\/a>. In Proceedings of the 2023 IEEE International Conference on Data Mining (ICDM 2023). Dec 2023. [<a href=\"https:\/\/github.com\/DaRL-LibSignal\/UIGNN\" target=\"_blank\" rel=\"noreferrer noopener\">code<\/a>]<\/li>\n\n\n\n<li>Longchao Da*, Hao Mei, Romir Sharma,&nbsp;<strong>Hua Wei<\/strong>. 2023.&nbsp;<a href=\"https:\/\/arxiv.org\/abs\/2307.12388\" target=\"_blank\" rel=\"noreferrer noopener\">Uncertainty-aware Grounded Action Transformation towards Sim-to-Real Transfer for Traffic Signal Control<\/a>. In Proceedings of 62nd IEEE Conference on Decision and Control (CDC 2023), Dec 2023. [<a href=\"https:\/\/github.com\/DaRL-LibSignal\/UGAT\" target=\"_blank\" rel=\"noreferrer noopener\">code<\/a>]<\/li>\n\n\n\n<li>Shuya Li, Hao Mei, Jianwei Li,&nbsp;<strong>Hua Wei<\/strong>, Dongkuan Xu. 2023.&nbsp;<a href=\"https:\/\/labs.engineering.asu.edu\/hw\/publications\/\" target=\"_blank\" rel=\"noreferrer noopener\">Toward Efficient Traffic Signal Control: Smaller Network Can Do More<\/a>. In Proceedings of 62nd IEEE Conference on Decision and Control (CDC 2023), Dec 2023.<\/li>\n\n\n\n<li>Wenlu Du*, Ankan Dash, Jing Li,&nbsp;<strong>Hua Wei<\/strong>, Guiling Wang. 2023.&nbsp;<a href=\"https:\/\/doi.org\/10.3390\/designs7040100\" target=\"_blank\" rel=\"noreferrer noopener\">Safety in Traffic Management Systems: A Comprehensive Survey<\/a>. Designs 2023, 7, 100.<\/li>\n\n\n\n<li>Yuefei Wu, Bin Shi, Jiarun Chen, Yuhang Liu, Bo Dong, Qinghua Zheng,&nbsp;<strong>Hua Wei<\/strong>. 2023.&nbsp;<a href=\"https:\/\/dl.acm.org\/doi\/pdf\/10.1145\/3583780.3615034\" target=\"_blank\" rel=\"noreferrer noopener\">Rethinking Sentiment Analysis under Uncertainty<\/a>. In Proceedings of 32nd ACM International Conference on Information and Knowledge Management (CIKM 2023), Nov 2023.<\/li>\n\n\n\n<li>Zhanyu Liu, Chunming Liang, Guanjie Zheng,&nbsp;<strong>Hua Wei<\/strong>. 2023.&nbsp;<a href=\"https:\/\/link.springer.com\/chapter\/10.1007\/978-3-031-43430-3_11\" target=\"_blank\" rel=\"noreferrer noopener\">FDTI: Fine-grained Deep Traffic Inference with Roadnet-enriched Graph<\/a>. In Proceedings of European Conference on Machine Learning and Principles and Practice of Knowledge Discovery in Databases (ECML-PKDD 2023), Sep 2023.<\/li>\n\n\n\n<li>Longchao Da*, Hao Mei, Romir Sharma,&nbsp;<strong>Hua Wei<\/strong>. 2023.&nbsp;<a href=\"https:\/\/ieeexplore.ieee.org\/abstract\/document\/10260398\" target=\"_blank\" rel=\"noreferrer noopener\">Sim2Real Transfer for Traffic Signal Control<\/a>. In Proceedings of the 19th IEEE International Conference on Automation Science and Engineering (CASE 2023), Aug 2023.<\/li>\n\n\n\n<li>Jiaxing Zhang*, Dongsheng Luo,&nbsp;<strong>Hua Wei<\/strong>. 2023.&nbsp;<a href=\"https:\/\/arxiv.org\/abs\/2307.07832\" target=\"_blank\" rel=\"noreferrer noopener\">MixupExplainer: Generalizing Explanations for Graph Neural Networks with Data Augmentation<\/a>. In Proceedings of the 29th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining (KDD 2023), Aug 2023. [<a href=\"https:\/\/github.com\/jz48\/MixupExplainer\" target=\"_blank\" rel=\"noreferrer noopener\">code<\/a>,&nbsp;<a href=\"https:\/\/www.public.asu.edu\/~hwei27\/publications\/mixupexplainer-kdd23-poster.pdf\">poster<\/a>,&nbsp;<a href=\"https:\/\/youtu.be\/Fai6K4RveOU\" target=\"_blank\" rel=\"noreferrer noopener\">video<\/a>]<\/li>\n\n\n\n<li>Hao Mei*, Junxian Li, Bin Shi,&nbsp;<strong>Hua Wei<\/strong>. 2023.&nbsp;<a href=\"https:\/\/arxiv.org\/abs\/2304.10722\" target=\"_blank\" rel=\"noreferrer noopener\">Reinforcement Learning Approaches for Traffic Signal Control under Missing Data<\/a>. In Proceedings of the 32nd International Joint Conference on Artificial Intelligence (IJCAI 2023), Aug 2023. (Acceptance rate: ~15%) (Short version is presented in NeurIPS 2022 Reinforcement Learning for Real Life Workshop) [<a href=\"https:\/\/github.com\/DaRL-LibSignal\/MissLight\" target=\"_blank\" rel=\"noreferrer noopener\">code<\/a>]<\/li>\n\n\n\n<li>Wanpeng Xu*,&nbsp;<strong>Hua Wei<\/strong>. 2023.&nbsp;<a href=\"https:\/\/dl.acm.org\/doi\/abs\/10.1145\/3573900.3591113\" target=\"_blank\" rel=\"noreferrer noopener\">Learning to Calibrate Hybrid Hyperparameters: a Study on Traffic Simulation<\/a>. In Proceedings of the ACM SIGSIM International Conference on Principles of Advanced Discrete Simulation (SIGSIM-PADS&#8217;23).<\/li>\n\n\n\n<li>Zhiyuan Feng*, Kai Qi*, Bin Shi, Hao Mei, Qinghua Zheng,&nbsp;<strong>Hua Wei<\/strong>. 2023.&nbsp;<a href=\"http:\/\/www.aimspress.com\/article\/doi\/10.3934\/era.2023115\" target=\"_blank\" rel=\"noreferrer noopener\">Deep Evidential Learning in Diffusion Convolutional Recurrent Neural Network<\/a>. Electronic Research Archive 2023, Volume 31, Issue 4. [<a href=\"https:\/\/github.com\/DaRL-LibSignal\/EviDCRNN\" target=\"_blank\" rel=\"noreferrer noopener\">code<\/a>]<\/li>\n\n\n\n<li>Longchao Da*,&nbsp;<strong>Hua Wei<\/strong>. 2023.&nbsp;<a href=\"https:\/\/www.aimspress.com\/article\/doi\/10.3934\/era.2023057\" target=\"_blank\" rel=\"noreferrer noopener\">CrowdGAIL: a Spatiotemporal Aware Method for Agent Navigation<\/a>. Electronic Research Archive 2023, Volume 31, Issue 2.<\/li>\n\n\n\n<li>Wenlu Du*, Junyi Ye, Jingyi Gu, Jing Li,&nbsp;<strong>Hua Wei<\/strong>, Guiling Wang. 2023.&nbsp;<a href=\"https:\/\/arxiv.org\/abs\/2211.10871\" target=\"_blank\" rel=\"noreferrer noopener\">SafeLight: A Reinforcement Learning Method toward Collision-free Traffic Signal Control<\/a>. In Proceedings of the Thirty-Seventh AAAI Conference on Artificial Intelligence (AAAI&#8217;23). (Acceptance rate: ~19.6%)<\/li>\n\n\n\n<li><strong>Hua Wei<\/strong>, 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.&nbsp;<a href=\"https:\/\/arxiv.org\/abs\/2209.08483\" target=\"_blank\" rel=\"noreferrer noopener\">Honor of Kings Arena: an Environment for Generalization in Competitive Reinforcement Learning<\/a>. In Proceedings of the 26th Annual Conference on Neural Information Processing Systems Benchmark and Dataset Track (NeurIPS 2022). [<a href=\"https:\/\/github.com\/tencent-ailab\/hok_env\" target=\"_blank\" rel=\"noreferrer noopener\">code<\/a>,&nbsp;<a href=\"https:\/\/www.public.asu.edu\/~hwei27\/publications\/hok-neurips22-slides.pdf\" target=\"_blank\" rel=\"noreferrer noopener\">slides<\/a>,&nbsp;<a href=\"https:\/\/www.public.asu.edu\/~hwei27\/publications\/hok-neurips22-poster.pdf\">poster<\/a>,&nbsp;<a href=\"https:\/\/www.bilibili.com\/video\/BV1zG4y1b7Be\/?share_source=copy_web\" target=\"_blank\" rel=\"noreferrer noopener\">bilibili<\/a>]<\/li>\n\n\n\n<li>Xiaoliang Lei*, Hao Mei*, Bin Shi,&nbsp;<strong>Hua Wei<\/strong>. 2022.&nbsp;<a href=\"https:\/\/arxiv.org\/abs\/2208.06646\" target=\"_blank\" rel=\"noreferrer noopener\">Modeling Network-level Traffic Flow Transitions on Sparse Data<\/a>. In Proceedings of the 28th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining (KDD 2022), Aug 2022. (Acceptance rate: ~14.9%) [<a href=\"https:\/\/github.com\/ShawLen\/DTIGNN\" target=\"_blank\" rel=\"noreferrer noopener\">code<\/a>,&nbsp;<a href=\"https:\/\/www.public.asu.edu\/~hwei27\/publications\/dtignn-kdd22-slides.pdf\" target=\"_blank\" rel=\"noreferrer noopener\">slides<\/a>,&nbsp;<a href=\"https:\/\/www.public.asu.edu\/~hwei27\/publications\/dtignn-kdd22-poster.pdf\">poster<\/a>,&nbsp;<a href=\"https:\/\/dl.acm.org\/doi\/abs\/10.1145\/3534678.3539236#sec-supp\" target=\"_blank\" rel=\"noreferrer noopener\">video<\/a>]<\/li>\n\n\n\n<li>Porter Jenkins,&nbsp;<strong>Hua Wei<\/strong>, Stockton Jenkins, Zhenhui Li. 2022.&nbsp;<a href=\"https:\/\/www.aaai.org\/AAAI22Papers\/IAAI-00029-JenkinsP.pdf\" target=\"_blank\" rel=\"noreferrer noopener\">Bayesian Model-based Offline Reinforcement Learning for Product Allocation<\/a>. The Thirty-Fourth Annual Conference on Innovative Applications of Artificial Intelligence (IAAI-22).<\/li>\n\n\n\n<li>Haoyu Geng, Guanjie Zheng, Zhengqing Han,&nbsp;<strong>Hua Wei<\/strong>, Zhenhui Li.&nbsp;<a href=\"https:\/\/arxiv.org\/abs\/2303.17464\" target=\"_blank\" rel=\"noreferrer noopener\">HMES: A Scalable Human Mobility and Epidemic Simulation System With Fast Intervention Modeling<\/a>. In Proceedings of the Nineteenth IEEE International Conference on Ubiquitous Intelligence and Computing (UIC 2022).<\/li>\n\n\n\n<li>Porter Jenkins,&nbsp;<strong>Hua Wei<\/strong>, J. Stockton Jenkins, and Zhenhui Li. 2021.&nbsp;<a href=\"https:\/\/cdn.glitch.me\/7bd1d2a7-e3a6-405c-b77c-2eb06ac05402%2FGeoSim-camera-ready.pdf?v=1634241952716\" target=\"_blank\" rel=\"noreferrer noopener\">Probabilistic Simulation of Spatial Demand for Intelligent Product Allocation<\/a>. In Proceedings of 4th ACM SIGSPATIAL International Workshop on GeoSpatial Simulation, Beijing, China, November 2, 2021 (GeoSim\u201921)<\/li>\n\n\n\n<li><strong>Hua Wei<\/strong>, Deheng Ye, Zhao Liu, Hao Wu, Bo Yuan, Bo Yuan, Qiang Fu, Wei Yang, Zhenhui Li.&nbsp;<a href=\"https:\/\/arxiv.org\/abs\/2106.10411\" target=\"_blank\" rel=\"noreferrer noopener\">Boosting Offline Reinforcement Learning with Residual Generative Modeling<\/a>. In Proceedings of the The 30th International Joint Conference on Artificial Intelligence (IJCAI&#8217;21), Aug 2021. (Acceptance rate: ~19.3%)<\/li>\n\n\n\n<li>Guanjie Zheng, Chang Liu,&nbsp;<strong>Hua Wei<\/strong>, Porter Jenkins, Chacha Chen, Tao Wen, Zhenhui Li.&nbsp;<a href=\"https:\/\/www.ijcai.org\/proceedings\/2021\/0228.pdf\" target=\"_blank\" rel=\"noreferrer noopener\">Knowledge-based Residual Learning<\/a>. In Proceedings of the The 30th International Joint Conference on Artificial Intelligence (IJCAI&#8217;21), Aug 2021. (Acceptance rate: ~19.3%)<\/li>\n\n\n\n<li><strong>Hua Wei<\/strong>, Dongkuan Xu, Junjie Liang, Zhenhui Li.&nbsp;<a href=\"https:\/\/arxiv.org\/abs\/2003.00613\" target=\"_blank\" rel=\"noreferrer noopener\">How Do We Move: Modeling Human Movement with System Dynamics<\/a>. In Proceedings of the Thirty-Fifth AAAI Conference on Artificial Intelligence (AAAI&#8217;21), Feb 2021. (Acceptance rate: ~21.4%)<\/li>\n\n\n\n<li>Dongkuan Xu, Junjie Liang, Wei Cheng,&nbsp;<strong>Hua Wei<\/strong>, Haifeng Chen, Xiang Zhang.&nbsp;<a href=\"https:\/\/github.com\/DerronXu\/TRRN\/blob\/main\/4093.XuD.pdf\" target=\"_blank\" rel=\"noreferrer noopener\">Transformer-Style Relational Reasoning with Dynamic Memory Updating for Temporal Network Modeling<\/a>. In Proceedings of the Thirty-Fifth AAAI Conference on Artificial Intelligence (AAAI&#8217;21), Feb 2021. (Acceptance rate: ~21.4%)<\/li>\n\n\n\n<li><strong>Hua Wei<\/strong>, Guanjie Zheng, Vikash Gayah, Zhenhui Li.&nbsp;<a href=\"https:\/\/dl.acm.org\/doi\/abs\/10.1145\/3447556.3447565\" target=\"_blank\" rel=\"noreferrer noopener\">Recent Advances in Reinforcement Learning for Traffic Signal Control: A Survey of Models and Evaluation<\/a>. In ACM SIGKDD Explorations, Dec 2020.<\/li>\n\n\n\n<li>Guanjie Zheng*, Chang Liu*,&nbsp;<strong>Hua Wei<\/strong>, Chacha Chen, Zhenhui Li.&nbsp;<a href=\"https:\/\/ieeexplore.ieee.org\/abstract\/document\/9458853\" target=\"_blank\" rel=\"noreferrer noopener\"><\/a><a href=\"https:\/\/scholar.google.com\/citations?view_op=view_citation&amp;hl=zh-CN&amp;user=F1CEAKwAAAAJ&amp;cstart=20&amp;pagesize=80&amp;citation_for_view=F1CEAKwAAAAJ:TQgYirikUcIC\">Rebuilding City-wide Traffic Origin Destination from Road Speed Data<\/a>. In Proceedings of the Thirty-seventh IEEE International Conference on Data Engineering (ICDE&#8217;21), Chania, Greece, April 2021.<\/li>\n\n\n\n<li><strong>Hua Wei*<\/strong>, Xian Wu*, Wenbo Guo*, Xinyu Xing.&nbsp;<a href=\"https:\/\/www.usenix.org\/conference\/usenixsecurity21\/presentation\/wu-xian\" target=\"_blank\" rel=\"noreferrer noopener\">Adversarial Policy Training against Deep Reinforcement Learning<\/a>. In Proceedings of the 30th USENIX Security Symposium (USENIX Security) , Vancouver, Canada, Aug 2021. [<a href=\"https:\/\/github.com\/psuwuxian\/rl_attack\">code<\/a>]<\/li>\n\n\n\n<li><strong>Hua Wei<\/strong>, Chacha Chen, Chang Liu, Guanjie Zheng, Zhenhui Li.\u00a0<a href=\"https:\/\/arxiv.org\/abs\/2103.11845\" target=\"_blank\" rel=\"noreferrer noopener\">Learning to Simulate on Sparse Trajectory Data<\/a>. In Proceedings of European Conference on Machine Learning and Principles and Practice of Knowledge Discovery in Databases (ECML-PKDD 2020), Ghent, Belgium, Sep 2020. (Acceptance rate: ~27.5%,\u00a0<mark style=\"background-color:rgba(0, 0, 0, 0)\" class=\"has-inline-color has-asu-orange-color\">Best Applied Data Science Paper Award<\/mark>) [<a href=\"http:\/\/personal.psu.edu\/hzw77\/posts.html#imingail-codes-and-notes\">code &amp; post<\/a>]<\/li>\n\n\n\n<li>Chacha Chen,&nbsp;<strong>Hua Wei<\/strong>, Nan Xu, Guanjie Zheng, Ming Yang, Yuanhao Xiong, Kai Xu and Zhenhui Li.&nbsp;<a href=\"https:\/\/ojs.aaai.org\/index.php\/AAAI\/article\/view\/5744\" target=\"_blank\" rel=\"noreferrer noopener\">Toward A Thousand Lights: Decentralized Deep Reinforcement Learning for Large-Scale Traffic Signal Control<\/a>. In Proceedings of the Thirty-Fourth AAAI Conference on Artificial Intelligence (AAAI 2020), New York, USA, Feb 2020. (Acceptance rate: ~20.6%)<\/li>\n\n\n\n<li>Chacha Chen, Guanjie Zheng,&nbsp;<strong>Hua Wei<\/strong>, Zhenhui Li.&nbsp;<a href=\"https:\/\/chacha-chen.github.io\/papers\/NeurIPS_2020.pdf\" target=\"_blank\" rel=\"noreferrer noopener\">Physics-informed Generative Adversarial Networks<\/a>. In Proceedings of the NeurIPS Workshop on Interpretable Inductive Biases and Physically Structured Learning (IIBPS, NeurIPS 2020)<\/li>\n\n\n\n<li>Porter Jenkins,&nbsp;<strong>Hua Wei<\/strong>, J. Stockton Jenkins, Zhenhui Li.&nbsp;<a href=\"https:\/\/arxiv.org\/abs\/2001.03210\" target=\"_blank\" rel=\"noreferrer noopener\">A Probabilistic Simulator of Spatial Demand for Product Allocation<\/a>. In the AAAI-20 Workshop on Intelligent Process Automation.<\/li>\n\n\n\n<li><strong>Hua Wei<\/strong>*, Nan Xu*, Huichu Zhang, Guanjie Zheng, Xinshi Zang, Chacha Chen, Weinan Zhang, Yanmin Zhu, Kai Xu and Zhenhui Li.&nbsp;<a href=\"https:\/\/dl.acm.org\/doi\/10.1145\/3357384.3357902\" target=\"_blank\" rel=\"noreferrer noopener\">CoLight: Learning Network-level Cooperation for Traffic Signal Control<\/a>. In Proceedings of the 28th ACM International Conference on Information and Knowledge Management (CIKM 2019), Beijing, China, Nov 2019. (Research track with full paper, acceptance rate: ~200\/1030=19.4%) [<a href=\"http:\/\/personal.psu.edu\/hzw77\/posts.html#colight-codes-and-notes\">code &amp; post<\/a>]<\/li>\n\n\n\n<li>Guanjie Zheng, Yuanhao Xiong, Xinshi Zang, Jie Feng,&nbsp;<strong>Hua Wei<\/strong>, Huichu Zhang, Yong Li, Kai Xu and Zhenhui Li.&nbsp;<a href=\"https:\/\/arxiv.org\/abs\/1905.04722\" target=\"_blank\" rel=\"noreferrer noopener\">Learning Phase Competition for Traffic Signal Control<\/a>. In Proceedings of the 28th ACM International Conference on Information and Knowledge Management (CIKM 2019), Beijing, China, Nov 2019. (Research track with full paper, acceptance rate: ~200\/1030=19.4%)<\/li>\n\n\n\n<li><strong>Hua Wei<\/strong>, Chacha Chen, Guanjie Zheng, Kan Wu, Vikash V. Gayah, Kai Xu and Zhenhui Li.&nbsp;<a href=\"https:\/\/dl.acm.org\/doi\/10.1145\/3292500.3330949\" target=\"_blank\" rel=\"noreferrer noopener\">PressLight: Learning Max Pressure Control to Coordinate Traffic Signals in Arterial Network<\/a>. In Proceedings of the 25th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining (KDD 2019), Anchorage, AK, USA, Aug 2019. (Research track with poster presentation, acceptance rate: ~170\/1200=14.2%)[<a href=\"http:\/\/personal.psu.edu\/hzw77\/posts.html#presslight-codes-and-demos\">code &amp; demo<\/a>]<\/li>\n\n\n\n<li>Hongjian Wang, Porter Jenkins,&nbsp;<strong>Hua Wei<\/strong>, Fei Wu and Zhenhui Li.&nbsp;<a href=\"https:\/\/dl.acm.org\/doi\/10.1145\/3308558.3313704\" target=\"_blank\" rel=\"noreferrer noopener\">Learning Task-Specific City Region Partitions<\/a>. In Proceedings of the 2019 the Web Conference (WWW 2019), San Francisco, CA, May 2019.<\/li>\n\n\n\n<li><strong>Hua Wei<\/strong>*, Guanjie Zheng*, Huaxiu Yao and Zhenhui Li.&nbsp;<a href=\"https:\/\/dl.acm.org\/doi\/10.1145\/3219819.3220096\" target=\"_blank\" rel=\"noreferrer noopener\">IntelliLight: A Reinforcement Learning Approach for Intelligent Traffic Light Control<\/a>. In Proceedings of the 24th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining (KDD 2018), London, UK, Aug 2018. (Research track with long presentation, acceptance rate: 181\/983=18.4%)[<a href=\"http:\/\/personal.psu.edu\/hzw77\/posts.html#intellilight-codes-and-demos\">code &amp; demo<\/a>]<\/li>\n\n\n\n<li>Yuandong Wang, Xuelian Lin,&nbsp;<strong>Hua Wei<\/strong>, Tianyu Wo, Zhou Huang, Yong Zhang, Jie Xu.&nbsp;<a href=\"https:\/\/dl.acm.org\/doi\/10.1145\/3355563\" target=\"_blank\" rel=\"noreferrer noopener\">A Unified Framework with Multi-source Data for Predicting Passenger Demands of Ride Services<\/a>. ACM Transactions on Knowledge Discovery from Data (TKDD).<\/li>\n\n\n\n<li>Huaxiu Yao*, Xianfeng Tang*,&nbsp;<strong>Hua Wei<\/strong>, Guanjie Zheng and Zhenhui Li.&nbsp;<a href=\"https:\/\/arxiv.org\/abs\/1803.01254\" target=\"_blank\" rel=\"noreferrer noopener\">Revisiting Spatial-Temporal Similarity: A Deep Learning Framework for Traffic Prediction<\/a>. In Proceedings of the 33rd AAAI Conference on Artificial Intelligence (AAAI 2019), Honolulu, Hawaii, Jan. 2019.<\/li>\n\n\n\n<li>Yong Zhang,&nbsp;<strong>Hua Wei<\/strong>, Xuelian Lin, Fei Wu, Zhenhui Li, Kaiheng Chen, Yuandong Wang and Jie Xu.&nbsp;<a href=\"https:\/\/link.springer.com\/chapter\/10.1007\/978-3-319-93040-4_46\" target=\"_blank\" rel=\"noreferrer noopener\">Context-aware Location Annotation on Mobility Records through User Grouping<\/a>. In Proceedings of the 22nd Pacific-Asia Conference on Know-ledge Discovery and Data Mining (PAKDD 2018), Melbourne, Australia, June 2018. (Regular paper with oral presentation, acceptance rate: 59\/590=10%)<\/li>\n\n\n\n<li><strong>Hua Wei<\/strong>, Yuandong Wang, Tianyu Wo, Yaxiao Liu and Jie Xu.&nbsp;<a href=\"https:\/\/dl.acm.org\/doi\/10.1145\/2983323.2983667\" target=\"_blank\" rel=\"noreferrer noopener\">ZEST: A Hybrid Model on Predicting Passenger Demand for Chauffeured Car Service<\/a>. In Proceedings of the 25th ACM International Conference on Information and Knowledge Management (CIKM 2016), Indianapolis, IN, USA, October 2016<\/li>\n\n\n\n<li>Zhongyu Lu, Weiren Yu, Richong Zhang, Jianxin Li and&nbsp;<strong>Hua Wei<\/strong>. Discovering Event Evolution Chain in Microblog. 17th IEEE International Conference on High Performance Computing and Communications (HPCC 2015). New York, USA.<\/li>\n\n\n\n<li>Borui Yang, Jianxin Li, Lu Liu, Yingjie Cao,&nbsp;<strong>Hua Wei<\/strong>, Peiyuan Sun, Nannan Wu and Bo Li. ShutterRoller: Preserving Social Network Privacy towards High-Speed Domain Gateway, the 13th IEEE International Conference on Dependable, Autonomic and Secure Computing (DASC 2015), Liverpool, UK.<\/li>\n<\/ul>\n","protected":false},"excerpt":{"rendered":"<p class=\"mb-2\">First authors with * are my supervised students Preprints Selected Publications<\/p>\n","protected":false},"author":284,"featured_media":0,"parent":0,"menu_order":0,"comment_status":"closed","ping_status":"closed","template":"","meta":{"_acf_changed":false,"footnotes":""},"class_list":["post-392","page","type-page","status-publish","hentry"],"acf":[],"yoast_head":"<!-- This site is optimized with the Yoast SEO plugin v27.8 - https:\/\/yoast.com\/product\/yoast-seo-wordpress\/ -->\n<title>Publications - DaRL Group \/ Hua Wei<\/title>\n<meta name=\"robots\" content=\"index, follow, max-snippet:-1, max-image-preview:large, max-video-preview:-1\" \/>\n<link rel=\"canonical\" href=\"https:\/\/labs.engineering.asu.edu\/hw\/publications\/\" \/>\n<meta property=\"og:locale\" content=\"en_US\" \/>\n<meta property=\"og:type\" content=\"article\" \/>\n<meta property=\"og:title\" content=\"Publications - 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