Yao, Xin

33 publications

AAAI 2025 Efficient Robustness Evaluation via Constraint Relaxation Chao Pan, Yu Wu, Ke Tang, Qing Li, Xin Yao

ICCV 2025 Mitigating Catastrophic Overfitting in Fast Adversarial Training via Label Information Elimination Chao Pan, Ke Tang, Qing Li, Xin Yao

MLJ 2025 Revealing Vulnerable Regions Through Diverse Adversarial Examples Yunce Zhao, Wei Huang, Wei Liu, Xin Yao

JAIR 2025 Solving Overlapping Coalition Structure Generation in Task-Based Settings Guofu Zhang, Zhaopin Su, Xiaoxiao Song, Zixuan Gao, Miqing Li, Xin Yao

NeurIPS 2025 ToxicTextCLIP: Text-Based Poisoning and Backdoor Attacks on CLIP Pre-Training Xin Yao, Haiyang Zhao, Yimin Chen, Jiawei Guo, Kecheng Huang, Ming Zhao

AAAI 2024 Adversarial Initialization with Universal Adversarial Perturbation: A New Approach to Fast Adversarial Training Chao Pan, Qing Li, Xin Yao

NeurIPS 2024 Association of Objects May Engender Stereotypes: Mitigating Association-Engendered Stereotypes in Text-to-Image Generation Junlei Zhou, Jiashi Gao, Xiangyu Zhao, Xin Yao, Xuetao Wei

AAAI 2024 Complementary Knowledge Distillation for Robust and Privacy-Preserving Model Serving in Vertical Federated Learning Dashan Gao, Sheng Wan, Lixin Fan, Xin Yao, Qiang Yang

NeurIPS 2024 Does Egalitarian Fairness Lead to Instability? the Fairness Bounds in Stable Federated Learning Under Altruistic Behaviors Jiashi Gao, Ziwei Wang, Xiangyu Zhao, Xin Yao, Xuetao Wei

JMLR 2024 Generative Adversarial Ranking Nets Yinghua Yao, Yuangang Pan, Jing Li, Ivor W. Tsang, Xin Yao

ECML-PKDD 2024 Individual Fairness with Group Awareness Under Uncertainty Zichong Wang, Jocelyn Dzuong, Xiaoyong Yuan, Zhong Chen, Yanzhao Wu, Xin Yao, Wenbin Zhang

ECML-PKDD 2024 Label Privacy Source Coding in Vertical Federated Learning Dashan Gao, Sheng Wan, Hanlin Gu, Lixin Fan, Xin Yao, Qiang Yang

CVPRW 2024 NTIRE 2024 Challenge on Blind Enhancement of Compressed Image: Methods and Results Ren Yang, Radu Timofte, Bingchen Li, Xin Li, Mengxi Guo, Shijie Zhao, Li Zhang, Zhibo Chen, Dongyang Zhang, Yash Arora, Aditya Arora, Yuanbin Chen, Hui Tang, Tao Wang, Longxuan Zhao, Bin Chen, Tong Tong, Qiao Mo, Jingwei Bao, Jinhua Hao, Yukang Ding, Hantang Li, Ming Sun, Chao Zhou, Shuyuan Zhu, Zhi Jin, Wei Wang, Dandan Zhan, Jiawei Wu, Jiahao Wu, Luwei Tu, Hongyu An, Xinfeng Zhang, Woon-Ha Yeo, Wang-Taek Oh, Young-Il Kim, Han-Cheol Ryu, Long Sun, Mingjun Zhen, Jinshan Pan, Jiangxin Dong, Jinhui Tang, Yapeng Du, Ao Li, Ziyang He, Lei Luo, Ce Zhu, Xin Yao, Sunder Ali Khowaja, Ikhyun Lee, Jaeho Lee, Seongwan Kim, Sma Sharif, Nodirkhuja Khujaev, Roman Tsoy

ICLR 2024 Negatively Correlated Ensemble Reinforcement Learning for Online Diverse Game Level Generation Ziqi Wang, Chengpeng Hu, Jialin Liu, Xin Yao

MLJ 2024 PROUD: PaRetO-gUided Diffusion Model for Multi-Objective Generation Yinghua Yao, Yuangang Pan, Jing Li, Ivor W. Tsang, Xin Yao

MLJ 2024 Sanitized Clustering Against Confounding Bias Yinghua Yao, Yuangang Pan, Jing Li, Ivor W. Tsang, Xin Yao

ECML-PKDD 2024 Secure Dataset Condensation for Privacy-Preserving and Efficient Vertical Federated Learning Dashan Gao, Canhui Wu, Xiaojin Zhang, Xin Yao, Qiang Yang

NeurIPS 2024 Unveiling the Bias Impact on Symmetric Moral Consistency of Large Language Models Ziyi Zhou, Xinwei Guo, Jiashi Gao, Xiangyu Zhao, Shiyao Zhang, Xin Yao, Xuetao Wei

ECML-PKDD 2023 ARConvL: Adaptive Region-Based Convolutional Learning for Multi-Class Imbalance Classification Shuxian Li, Liyan Song, Xiaoyu Wu, Zheng Hu, Yiu-ming Cheung, Xin Yao

ECML-PKDD 2023 FG2AN: Fairness-Aware Graph Generative Adversarial Networks Zichong Wang, Charles Wallace, Albert Bifet, Xin Yao, Wenbin Zhang

ICCV 2023 Single Image Defocus Deblurring via Implicit Neural Inverse Kernels Yuhui Quan, Xin Yao, Hui Ji

ECML-PKDD 2021 Label-Assisted Memory Autoencoder for Unsupervised Out-of-Distribution Detection Shuyi Zhang, Chao Pan, Liyan Song, Xiaoyu Wu, Zheng Hu, Ke Pei, Peter Tino, Xin Yao

AAAI 2020 On Performance Estimation in Automatic Algorithm Configuration Shengcai Liu, Ke Tang, Yunwen Lei, Xin Yao

AAAI 2019 Automatic Construction of Parallel Portfolios via Explicit Instance Grouping Shengcai Liu, Ke Tang, Xin Yao

NeurIPS 2019 Explicit Planning for Efficient Exploration in Reinforcement Learning Liangpeng Zhang, Ke Tang, Xin Yao

AAAI 2018 On Multiset Selection with Size Constraints Chao Qian, Yibo Zhang, Ke Tang, Xin Yao

NeurIPS 2017 Log-Normality and Skewness of Estimated State/Action Values in Reinforcement Learning Liangpeng Zhang, Ke Tang, Xin Yao

IJCAI 2016 Dealing with Multiple Classes in Online Class Imbalance Learning Shuo Wang, Leandro L. Minku, Xin Yao

IJCAI 2015 Increasingly Cautious Optimism for Practical PAC-MDP Exploration Liangpeng Zhang, Ke Tang, Xin Yao

IJCAI 2015 Model Metric Co-Learning for Time Series Classification Huanhuan Chen, Fengzhen Tang, Peter Tiño, Anthony G. Cohn, Xin Yao

IJCAI 2013 On the Approximation Ability of Evolutionary Optimization with Application to Minimum Set Cover: Extended Abstract Yang Yu, Xin Yao, Zhi-Hua Zhou

CVPRW 2012 Resource-Aware Configuration in Smart Camera Networks Bernhard Rinner, Bernhard Dieber, Lukas Esterle, Peter R. Lewis, Xin Yao

MLJ 2006 An Analysis of Diversity Measures E. Ke Tang, Ponnuthurai N. Suganthan, Xin Yao