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Hua Wei

Arizona State University (ASU), School of Computing and Augmented Intelligence (SCAI), AZ, USA

37 papers at tracked venues · 23 at CORE A* · active 2024–2026

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Venues

SIGKDD ×6AAAI ×5ACL ×5CIKM ×4EACL ×3ICML ×3IJCAI ×3ECML-PKDD ×2SDM ×2CVPR ×1ICLR ×1NeurIPS ×1WWW ×1

Frequent coauthors

Longchao Da
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Tiejin Chen
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Huaiyuan Yao
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Jiaxing Zhang
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Qingsong Wen
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Zheng Luo
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Xujiang Zhao
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Spencer Young
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Jingxiang Qu
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Xiaoou Liu
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Anirudh Satheesh
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Shuxin Zhong
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Papers

  1. Conformal Feedback Alignment: Quantifying Answer-Level Reliability for Robust LLM Alignment
    EACL 2026 ·
    Tiejin Chen
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  2. Every Response Counts: Quantifying Uncertainty of LLM-based Multi-Agent Systems through Tensor Decomposition
    ACL 2026 ·
    Tiejin Chen
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  3. Instructional Agents: Reducing Teaching Faculty Workload through Multi-Agent Instructional Design
    EACL 2026 ·
    Huaiyuan Yao
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  4. Lost in Execution: On the Multilingual Robustness of Tool Calling in Large Language Models
    ACL 2026 ·
    Zheng Luo
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  5. Measuring What Matters: Scenario-Driven Evaluation for Trajectory Predictors in Autonomous Driving
    AAAI 2026 ·
    Longchao Da
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  6. Uncertainty Quantification of Large Language Models through Multiple Uncertainty Sources
    ACL 2026 ·
    Tiejin Chen
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  7. Zer0-Jack: A memory-efficient gradient-based jailbreaking method for black box Multi-modal Large Language Models
    EACL 2026 ·
    Tiejin Chen
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  8. 4th Workshop on Uncertainty Reasoning and Quantification in Decision Making (UDM)
    SIGKDD 2025 ·
    Xujiang Zhao
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  9. CoMAL: Collaborative Multi-Agent Large Language Models for Mixed-Autonomy Traffic
    SDM 2025 ·
    Huaiyuan Yao
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  10. DeepShade: Enable Shade Simulation by Text-conditioned Image Generation
    IJCAI 2025 ·
    Longchao Da
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  11. FlanS: A Foundation Model for Free-Form Language-based Segmentation in Medical Images
    SIGKDD 2025 ·
    Longchao Da
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  12. Fully Heteroscedastic Count Regression with Deep Double Poisson Networks
    ICML 2025 ·
    Spencer Young
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  13. GE-Chat: A Graph Enhanced RAG Framework for Evidential Response Generation of LLMs
    IJCAI 2025 ·
    Longchao Da
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  14. Is Your Explanation Reliable: Confidence-Aware Explanation on Graph Neural Networks
    SIGKDD 2025 ·
    Jiaxing Zhang
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  15. Protecting Privacy against Membership Inference Attack with LLM Fine-tuning through Flatness
    SDM 2025 ·
    Tiejin Chen
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  16. RISE: Radius of Influence based Subgraph Extraction for 3D Molecular Graph Explanation
    ICML 2025 ·
    Jingxiang Qu
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  17. The 3rd Workshop on AI Agent for Information Retrieval: Generating and Ranking
    WWW 2025 ·
    Qingsong Wen
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  18. The 4th Workshop on AI Agent for Information Retrieval: Generating and Ranking
    SIGKDD 2025 ·
    Qingsong Wen
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  19. Uncertainty Quantification and Confidence Calibration in Large Language Models: A Survey
    SIGKDD 2025 ·
    Xiaoou Liu
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  20. Unveiling Privacy Risks in Multi-modal Large Language Models: Task-specific Vulnerabilities and Mitigation Challenges
    ACL 2025 ·
    Tiejin Chen
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  21. Vision Language Model Helps Private Information De-Identification in Vision Data
    ACL 2025 ·
    Tiejin Chen
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  22. cMALC-D: Contextual Multi-Agent LLM-Guided Curriculum Learning with Diversity-Based Context Blending
    CIKM 2025 ·
    Anirudh Satheesh
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  23. AdaTrans: Adaptive Transfer Time Prediction for Multi-modal Transportation Modes
    CIKM 2024 ·
    Shuxin Zhong
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  24. CityFlowER: An Efficient and Realistic Traffic Simulator with Embedded Machine Learning Models
    ECML-PKDD 2024 ·
    Longchao Da
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  25. CoSLight: Co-optimizing Collaborator Selection and Decision-making to Enhance Traffic Signal Control
    SIGKDD 2024 ·
    Jingqing Ruan
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  26. Generating In-Distribution Proxy Graphs for Explaining Graph Neural Networks
    ICML 2024 ·
    Zhuomin Chen
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  27. MalLight: Influence-Aware Coordinated Traffic Signal Control for Traffic Signal Malfunctions
    CIKM 2024 ·
    Qinchen Yang
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  28. Probabilistic Offline Policy Ranking with Approximate Bayesian Computation
    AAAI 2024 ·
    Longchao Da
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  29. Prompt to Transfer: Sim-to-Real Transfer for Traffic Signal Control with Prompt Learning
    AAAI 2024 ·
    Longchao Da
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  30. RegExplainer: Generating Explanations for Graph Neural Networks in Regression Tasks
    NeurIPS 2024 ·
    Jiaxing Zhang
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  31. Shaded Route Planning Using Active Segmentation and Identification of Satellite Images
    CIKM 2024 ·
    Longchao Da
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  32. Spatial-Temporal PDE Networks for Traffic Flow Forecasting
    ECML-PKDD 2024 ·
    Tianshu Bao
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  33. The Evidence Contraction Issue in Deep Evidential Regression: Discussion and Solution
    AAAI 2024 ·
    Yuefei Wu
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  34. Towards Robust Fidelity for Evaluating Explainability of Graph Neural Networks
    ICLR 2024 ·
    Xu Zheng
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  35. Uncertainty Regularized Evidential Regression
    AAAI 2024 ·
    Kai Ye
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  36. X-Light: Cross-City Traffic Signal Control Using Transformer on Transformer as Meta Multi-Agent Reinforcement Learner
    IJCAI 2024 ·
    Haoyuan Jiang
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  37. eTraM: Event-Based Traffic Monitoring Dataset
    CVPR 2024 ·
    Aayush Atul Verma
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