Xiaowei Huang

Chain-of-Thought as a Lens: Evaluating Structured Reasoning Alignment between Human Preferences and Large Language Models ACL 2026 Fragile by Design: On the Limits of Adversarial Defenses in Personalized DreamBooth Generation AAAI 2026 Lying with Truths: Open-Channel Multi-Agent Collusion for Belief Manipulation via Generative Montage ACL 2026 Tapas Are Free! Training-Free Adaptation of Programmatic Agents via LLM-Guided Program Synthesis in Dynamic Environments AAAI 2026 A Black-Box Evaluation Framework for Semantic Robustness in Bird’s Eye View Detection AAAI 2025 Activation Steering Meets Preference Optimization: Defense Against Jailbreaks in Vision Language Model ACML 2025 Adversarial Training for Probabilistic Robustness ICCV 2025 Can GRPO Boost Complex Multimodal Table Understanding? EMNLP 2025 GNS: Solving Plane Geometry Problems by Neural-Symbolic Reasoning with Multi-Modal LLMs AAAI 2025 Is Your Model Really A Good Math Reasoner? Evaluating Mathematical Reasoning with Checklist ICLR 2025 Risk Controlled Image Retrieval AAAI 2025 SIDA: Social Media Image Deepfake Detection, Localization and Explanation with Large Multimodal Model CVPR 2025 Towards Better Robustness Against Natural Corruptions in Document Tampering Localization AAAI 2025 Training Verification-Friendly Neural Networks via Neuron Behavior Consistency AAAI 2025 ZeroDiff: Solidified Visual-semantic Correlation in Zero-Shot Learning ICLR 2025 Delving into Adversarial Robustness on Document Tampering Localization ECCV 2024 MathAttack: Attacking Large Language Models towards Math Solving Ability AAAI 2024 Position: Building Guardrails for Large Language Models Requires Systematic Design ICML 2024 ProTIP: Probabilistic Robustness Verification on Text-to-Image Diffusion Models against Stochastic Perturbation ECCV 2024 Representation-Based Robustness in Goal-Conditioned Reinforcement Learning AAAI 2024 Reward Certification for Policy Smoothed Reinforcement Learning AAAI 2024 TARP-VP: Towards Evaluation of Transferred Adversarial Robustness and Privacy on Label Mapping Visual Prompting Models NeurIPS 2024 Towards Fairness-Aware Adversarial Learning CVPR 2024 Learning by Analogy: Diverse Questions Generation in Math Word Problem ACL 2023 Randomized Adversarial Training via Taylor Expansion CVPR 2023 SAFARI: Versatile and Efficient Evaluations for Robustness of Interpretability ICCV 2023 Towards Verifying the Geometric Robustness of Large-Scale Neural Networks AAAI 2023 Adversarial Label Poisoning Attack on Graph Neural Networks via Label Propagation ECCV 2022 Enhancing Adversarial Training With Second-Order Statistics of Weights CVPR 2022 BayLIME: Bayesian local interpretable model-agnostic explanations UAI 2021 Spatial Uncertainty-Aware Semi-Supervised Crowd Counting ICCV 2021 Explaining Image Classifiers using Statistical Fault Localization ECCV 2020 How does Weight Correlation Affect Generalisation Ability of Deep Neural Networks? NeurIPS 2020 Regression of Instance Boundary by Aggregated CNN and GCN ECCV 2020 Global Robustness Evaluation of Deep Neural Networks with Provable Guarantees for the Hamming Distance IJCAI 2019 HITSZ-ICRC: A Report for SMM4H Shared Task 2019-Automatic Classification and Extraction of Adverse Effect Mentions in Tweets ACL 2019 Model Checking Probabilistic Epistemic Logic for Probabilistic Multiagent Systems IJCAI 2018 Reachability Analysis of Deep Neural Networks with Provable Guarantees IJCAI 2018 ATL Strategic Reasoning Meets Correlated Equilibrium IJCAI 2017 Reconfigurability in Reactive Multiagent Systems IJCAI 2016 The Complexity of Model Checking Succinct Multiagent Systems IJCAI 2015