Huang, Xiaowei

56 publications

ICLR 2026 Spatial-DISE: A Unified Benchmark for Evaluating Spatial Reasoning in Vision-Language Models Xinmiao Huang, Qisong He, Zhenglin Huang, Boxuan Wang, Zhuoyun Li, Guangliang Cheng, Yi Dong, Xiaowei Huang

AAAI 2025 A Black-Box Evaluation Framework for Semantic Robustness in Bird's Eye View Detection Fu Wang, Yanghao Zhang, Xiangyu Yin, Guangliang Cheng, Zeyu Fu, Xiaowei Huang, Wenjie Ruan

ACML 2025 Activation Steering Meets Preference Optimization: Defense Against Jailbreaks in Vision Language Model Sihao Wu, Gaojie Jin, Wei Huang, Jianhong Wang, Xiaowei Huang

ICCV 2025 Adversarial Training for Probabilistic Robustness Yi Zhang, Yuhang Chen, Zhen Chen, Wenjie Ruan, Xiaowei Huang, Siddartha Khastgir, Xingyu Zhao

NeurIPS 2025 Can MLLMs Absorb Math Reasoning Abilities from LLMs as Free Lunch? Yijie Hu, Zihao Zhou, Kaizhu Huang, Xiaowei Huang, Qiufeng Wang

NeurIPS 2025 FALCON: Fine-Grained Activation Manipulation by Contrastive Orthogonal Unalignment for Large Language Model Jinwei Hu, Zhenglin Huang, Xiangyu Yin, Wenjie Ruan, Guangliang Cheng, Yi Dong, Xiaowei Huang

AAAI 2025 GNS: Solving Plane Geometry Problems by Neural-Symbolic Reasoning with Multi-Modal LLMs Maizhen Ning, Zihao Zhou, Qiufeng Wang, Xiaowei Huang, Kaizhu Huang

ICLR 2025 Is Your Model Really a Good Math Reasoner? Evaluating Mathematical Reasoning with Checklist Zihao Zhou, Shudong Liu, Maizhen Ning, Wei Liu, Jindong Wang, Derek F. Wong, Xiaowei Huang, Qiufeng Wang, Kaizhu Huang

CVPRW 2025 Prompt Categories Cluster for Weakly Supervised Semantic Segmentation Wangyu Wu, Xianglin Qiu, Siqi Song, Zhenhong Chen, Xiaowei Huang, Fei Ma, Jimin Xiao

AAAI 2025 Risk Controlled Image Retrieval Kaiwen Cai, Chris Xiaoxuan Lu, Xingyu Zhao, Wei Huang, Xiaowei Huang

CVPR 2025 SIDA: Social Media Image Deepfake Detection, Localization and Explanation with Large Multimodal Model Zhenglin Huang, Jinwei Hu, Xiangtai Li, Yiwei He, Xingyu Zhao, Bei Peng, Baoyuan Wu, Xiaowei Huang, Guangliang Cheng

TMLR 2025 Toward Linearly Regularizing the Geometric Bottleneck of Linear Generalized Attention Jiaxu Liu, Xinping Yi, Xiangyu Yin, Yuhang Song, Gaojie Jin, Xiaowei Huang

AAAI 2025 Towards Better Robustness Against Natural Corruptions in Document Tampering Localization Huiru Shao, Kaizhu Huang, Wei Wang, Xiaowei Huang, Qiufeng Wang

AAAI 2025 Training Verification-Friendly Neural Networks via Neuron Behavior Consistency Zongxin Liu, Zhe Zhao, Fu Song, Jun Sun, Pengfei Yang, Xiaowei Huang, Lijun Zhang

ICLR 2025 ZeroDiff: Solidified Visual-Semantic Correlation in Zero-Shot Learning Zihan Ye, Shreyank N Gowda, Shiming Chen, Xiaowei Huang, Haotian Xu, Fahad Shahbaz Khan, Yaochu Jin, Kaizhu Huang, Xiaobo Jin

ECML-PKDD 2024 Continuous Geometry-Aware Graph Diffusion via Hyperbolic Neural PDE Jiaxu Liu, Xinping Yi, Sihao Wu, Xiangyu Yin, Tianle Zhang, Xiaowei Huang, Shi Jin

ECCV 2024 Delving into Adversarial Robustness on Document Tampering Localization Huiru Shao, Zhuang Qian, Kaizhu Huang, Wei Wang, Xiaowei Huang, Qiufeng Wang

NeurIPSW 2024 Integrating Object Detection Modality into Visual Language Model for Enhanced Autonomous Driving Agent Linfeng He, Yiming Sun, Sihao Wu, Jiaxu Liu, Xiaowei Huang

AAAI 2024 MathAttack: Attacking Large Language Models Towards Math Solving Ability Zihao Zhou, Qiufeng Wang, Mingyu Jin, Jie Yao, Jianan Ye, Wei Liu, Wei Wang, Xiaowei Huang, Kaizhu Huang

MLJ 2024 Nrat: Towards Adversarial Training with Inherent Label Noise Zhen Chen, Fu Wang, Ronghui Mu, Peipei Xu, Xiaowei Huang, Wenjie Ruan

ICML 2024 Position: Building Guardrails for Large Language Models Requires Systematic Design Yi Dong, Ronghui Mu, Gaojie Jin, Yi Qi, Jinwei Hu, Xingyu Zhao, Jie Meng, Wenjie Ruan, Xiaowei Huang

ECCV 2024 ProTIP: Probabilistic Robustness Verification on Text-to-Image Diffusion Models Against Stochastic Perturbation Yi Zhang, Yun Tang, Wenjie Ruan, Xiaowei Huang, Siddartha Khastgir, Paul A Jennings, Xingyu Zhao

AAAI 2024 Representation-Based Robustness in Goal-Conditioned Reinforcement Learning Xiangyu Yin, Sihao Wu, Jiaxu Liu, Meng Fang, Xingyu Zhao, Xiaowei Huang, Wenjie Ruan

AAAI 2024 Reward Certification for Policy Smoothed Reinforcement Learning Ronghui Mu, Leandro Soriano Marcolino, Yanghao Zhang, Tianle Zhang, Xiaowei Huang, Wenjie Ruan

NeurIPS 2024 TARP-VP: Towards Evaluation of Transferred Adversarial Robustness and Privacy on Label Mapping Visual Prompting Models Zhen Chen, Yi Zhang, Fu Wang, Xingyu Zhao, Xiaowei Huang, Wenjie Ruan

CVPR 2024 Towards Fairness-Aware Adversarial Learning Yanghao Zhang, Tianle Zhang, Ronghui Mu, Xiaowei Huang, Wenjie Ruan

NeurIPSW 2023 DIRECT Optimisation with Bayesian Insights: Assessing Reliability Under Fixed Computational Budgets Fu Wang, Zeyu Fu, Xiaowei Huang, Wenjie Ruan

MLJ 2023 Generalizing Universal Adversarial Perturbations for Deep Neural Networks Yanghao Zhang, Wenjie Ruan, Fu Wang, Xiaowei Huang

CVPR 2023 Randomized Adversarial Training via Taylor Expansion Gaojie Jin, Xinping Yi, Dengyu Wu, Ronghui Mu, Xiaowei Huang

ICCV 2023 SAFARI: Versatile and Efficient Evaluations for Robustness of Interpretability Wei Huang, Xingyu Zhao, Gaojie Jin, Xiaowei Huang

AAAI 2023 Towards Verifying the Geometric Robustness of Large-Scale Neural Networks Fu Wang, Peipei Xu, Wenjie Ruan, Xiaowei Huang

ECCV 2022 Adversarial Label Poisoning Attack on Graph Neural Networks via Label Propagation Ganlin Liu, Xiaowei Huang, Xinping Yi

MLJ 2022 Embedding and Extraction of Knowledge in Tree Ensemble Classifiers Wei Huang, Xingyu Zhao, Xiaowei Huang

CVPR 2022 Enhancing Adversarial Training with Second-Order Statistics of Weights Gaojie Jin, Xinping Yi, Wei Huang, Sven Schewe, Xiaowei Huang

AAAI 2022 EnnCore: End-to-End Conceptual Guarding of Neural Architectures Edoardo Manino, Danilo S. Carvalho, Yi Dong, Julia Rozanova, Xidan Song, Mustafa A. Mustafa, André Freitas, Gavin Brown, Mikel Luján, Xiaowei Huang, Lucas C. Cordeiro

AAAI 2022 Quantifying the Importance of Latent Features in Neural Networks Amany Alshareef, Nicolas Berthier, Sven Schewe, Xiaowei Huang

TMLR 2022 Weight Expansion: A New Perspective on Dropout and Generalization Gaojie Jin, Xinping Yi, Pengfei Yang, Lijun Zhang, Sven Schewe, Xiaowei Huang

UAI 2021 BayLIME: Bayesian Local Interpretable Model-Agnostic Explanations Xingyu Zhao, Wei Huang, Xiaowei Huang, Valentin Robu, David Flynn

ICCV 2021 Spatial Uncertainty-Aware Semi-Supervised Crowd Counting Yanda Meng, Hongrun Zhang, Yitian Zhao, Xiaoyun Yang, Xuesheng Qian, Xiaowei Huang, Yalin Zheng

ECCV 2020 Explaining Image Classifiers Using Statistical Fault Localization Youcheng Sun, Hana Chockler, Xiaowei Huang, Daniel Kroening

NeurIPS 2020 How Does Weight Correlation Affect Generalisation Ability of Deep Neural Networks? Gaojie Jin, Xinping Yi, Liang Zhang, Lijun Zhang, Sven Schewe, Xiaowei Huang

ECCV 2020 Regression of Instance Boundary by Aggregated CNN and GCN Yanda Meng, Wei Meng, Dongxu Gao, Yitian Zhao, Xiaoyun Yang, Xiaowei Huang, Yalin Zheng

IJCAI 2019 Global Robustness Evaluation of Deep Neural Networks with Provable Guarantees for the Hamming Distance Wenjie Ruan, Min Wu, Youcheng Sun, Xiaowei Huang, Daniel Kroening, Marta Kwiatkowska

IJCAI 2018 Model Checking Probabilistic Epistemic Logic for Probabilistic Multiagent Systems Chen Fu, Andrea Turrini, Xiaowei Huang, Lei Song, Yuan Feng, Lijun Zhang

IJCAI 2018 Reachability Analysis of Deep Neural Networks with Provable Guarantees Wenjie Ruan, Xiaowei Huang, Marta Kwiatkowska

IJCAI 2017 ATL Strategic Reasoning Meets Correlated Equilibrium Xiaowei Huang, Ji Ruan

AAAI 2017 Reasoning About Cognitive Trust in Stochastic Multiagent Systems Xiaowei Huang, Marta Zofia Kwiatkowska

AAAI 2016 Model Checking Probabilistic Knowledge: A PSPACE Case Xiaowei Huang, Marta Kwiatkowska

IJCAI 2016 Normative Multiagent Systems: The Dynamic Generalization Xiaowei Huang, Ji Ruan, Qingliang Chen, Kaile Su

IJCAI 2016 Reconfigurability in Reactive Multiagent Systems Xiaowei Huang, Qingliang Chen, Jie Meng, Kaile Su

AAAI 2016 Strengthening Agents Strategic Ability with Communication Xiaowei Huang, Qingliang Chen, Kaile Su

IJCAI 2015 The Complexity of Model Checking Succinct Multiagent Systems Xiaowei Huang, Qingliang Chen, Kaile Su

AAAI 2014 Symbolic Model Checking Epistemic Strategy Logic Xiaowei Huang, Ron van der Meyden

AAAI 2012 Probabilistic Alternating-Time Temporal Logic of Incomplete Information and Synchronous Perfect Recall Xiaowei Huang, Kaile Su, Chenyi Zhang

AAAI 2012 Synthesizing Strategies for Epistemic Goals by Epistemic Model Checking: An Application to Pursuit Evasion Games Xiaowei Huang, Ron van der Meyden

IJCAI 2011 Model Checking Knowledge in Pursuit Evasion Games Xiaowei Huang, Patrick Maupin, Ron van der Meyden