Hua Wei

A Multi-Agent Framework for High-Interaction Terminal Simulation ACL 2026 Conformal Feedback Alignment: Quantifying Answer-Level Reliability for Robust LLM Alignment EACL 2026 Every Response Counts: Quantifying Uncertainty of LLM-based Multi-Agent Systems through Tensor Decomposition ACL 2026 Instructional Agents: Reducing Teaching Faculty Workload through Multi-Agent Instructional Design EACL 2026 Lost in Execution: On the Multilingual Robustness of Tool Calling in Large Language Models ACL 2026 Measuring What Matters: Scenario-Driven Evaluation for Trajectory Predictors in Autonomous Driving AAAI 2026 Zer0-Jack: A memory-efficient gradient-based jailbreaking method for black box Multi-modal Large Language Models EACL 2026 DeepShade: Enable Shade Simulation by Text-conditioned Image Generation IJCAI 2025 Fully Heteroscedastic Count Regression with Deep Double Poisson Networks ICML 2025 GE-Chat: A Graph Enhanced RAG Framework for Evidential Response Generation of LLMs IJCAI 2025 RISE: Radius of Influence based Subgraph Extraction for 3D Molecular Graph Explanation ICML 2025 Unveiling Privacy Risks in Multi-modal Large Language Models: Task-specific Vulnerabilities and Mitigation Challenges ACL 2025 Vision Language Model Helps Private Information De-Identification in Vision Data ACL 2025 eTraM: Event-based Traffic Monitoring Dataset CVPR 2024 Generating In-Distribution Proxy Graphs for Explaining Graph Neural Networks ICML 2024 Probabilistic Offline Policy Ranking with Approximate Bayesian Computation AAAI 2024 Prompt to Transfer: Sim-to-Real Transfer for Traffic Signal Control with Prompt Learning AAAI 2024 RegExplainer: Generating Explanations for Graph Neural Networks in Regression Tasks NeurIPS 2024 The Evidence Contraction Issue in Deep Evidential Regression: Discussion and Solution AAAI 2024 Towards Robust Fidelity for Evaluating Explainability of Graph Neural Networks ICLR 2024 Uncertainty Regularized Evidential Regression AAAI 2024 X-Light: Cross-City Traffic Signal Control Using Transformer on Transformer as Meta Multi-Agent Reinforcement Learner IJCAI 2024 Positive Distribution Pollution: Rethinking Positive Unlabeled Learning from a Unified Perspective AAAI 2023 Reinforcement Learning Approaches for Traffic Signal Control under Missing Data IJCAI 2023 SafeLight: A Reinforcement Learning Method toward Collision-Free Traffic Signal Control AAAI 2023 Bayesian Model-Based Offline Reinforcement Learning for Product Allocation AAAI 2022 Honor of Kings Arena: an Environment for Generalization in Competitive Reinforcement Learning NeurIPS 2022 Boosting Offline Reinforcement Learning with Residual Generative Modeling IJCAI 2021 How Do We Move: Modeling Human Movement with System Dynamics AAAI 2021 Knowledge-based Residual Learning IJCAI 2021 Transformer-Style Relational Reasoning with Dynamic Memory Updating for Temporal Network Modeling AAAI 2021 Toward A Thousand Lights: Decentralized Deep Reinforcement Learning for Large-Scale Traffic Signal Control AAAI 2020 Revisiting Spatial-Temporal Similarity: A Deep Learning Framework for Traffic Prediction AAAI 2019