Zhao, Xingyu

17 publications

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

AAAI 2025 Correlation-Attention Masked Temporal Transformer for User Identity Linkage Using Heterogeneous Mobility Data Ziang Yan, Xingyu Zhao, Hanqing Ma, Wei Chen, Jianpeng Qi, Yanwei Yu, Junyu Dong

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

AAAI 2025 Scalable Trajectory-User Linking with Dual-Stream Representation Networks Hao Zhang, Wei Chen, Xingyu Zhao, Jianpeng Qi, Guiyuan Jiang, Yanwei Yu

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

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

AAAI 2023 Imbalanced Label Distribution Learning Xingyu Zhao, Yuexuan An, Ning Xu, Jing Wang, Xin Geng

IJCAI 2023 Learning to Learn from Corrupted Data for Few-Shot Learning Yuexuan An, Xingyu Zhao, Hui Xue

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

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

IJCAI 2022 Fusion Label Enhancement for Multi-Label Learning Xingyu Zhao, Yuexuan An, Ning Xu, Xin Geng

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

IJCAI 2021 Conditional Self-Supervised Learning for Few-Shot Classification Yuexuan An, Hui Xue, Xingyu Zhao, Lu Zhang

AAAI 2019 Probabilistic Model Checking of Robots Deployed in Extreme Environments Xingyu Zhao, Valentin Robu, David Flynn, Fateme Dinmohammadi, Michael Fisher, Matt Webster