Yang, Wenhao

23 publications

NeurIPS 2025 All You Need Is One: Capsule Prompt Tuning with a Single Vector Yiyang Liu, James Chenhao Liang, Heng Fan, Wenhao Yang, Yiming Cui, Xiaotian Han, Lifu Huang, Dongfang Liu, Qifan Wang, Cheng Han

ICCV 2025 Exploring the Adversarial Vulnerabilities of Vision-Language-Action Models in Robotics Taowen Wang, Cheng Han, James Liang, Wenhao Yang, Dongfang Liu, Luna Xinyu Zhang, Qifan Wang, Jiebo Luo, Ruixiang Tang

NeurIPS 2025 Factor Decorrelation Enhanced Data Removal from Deep Predictive Models Wenhao Yang, Lin Li, Xiaohui Tao, Kaize Shi

ICLR 2025 Neuron Based Personality Trait Induction in Large Language Models Jia Deng, Tianyi Tang, Yanbin Yin, Wenhao Yang, Xin Zhao, Ji-Rong Wen

ICML 2025 Revisiting Differentially Private Algorithms for Decentralized Online Learning Xiaoyu Wang, Wenhao Yang, Chang Yao, Mingli Song, Yuanyu Wan

IJCAI 2025 Smoothed Online Convex Optimization with Delayed Feedback Sifan Yang, Wenhao Yang, Wei Jiang, Yuanyu Wan, Lijun Zhang

AAAI 2025 Towards Unbiased Information Extraction and Adaptation in Cross-Domain Recommendation Yibo Wang, Yingchun Jian, Wenhao Yang, Shiyin Lu, Lei Shen, Bing Wang, Xiaoyi Zeng, Lijun Zhang

UAI 2024 Distributionally Robust Optimization as a Scalable Framework to Characterize Extreme Value Distributions Patrick Kuiper, Ali Hasan, Wenhao Yang, Yuting Ng, Hoda Bidkhori, Jose Blanchet, Vahid Tarokh

NeurIPS 2024 Efficient Sign-Based Optimization: Accelerating Convergence via Variance Reduction Wei Jiang, Sifan Yang, Wenhao Yang, Lijun Zhang

AAAI 2024 Non-Stationary Projection-Free Online Learning with Dynamic and Adaptive Regret Guarantees Yibo Wang, Wenhao Yang, Wei Jiang, Shiyin Lu, Bing Wang, Haihong Tang, Yuanyu Wan, Lijun Zhang

NeurIPS 2024 Online Composite Optimization Between Stochastic and Adversarial Environments Yibo Wang, Sijia Chen, Wei Jiang, Wenhao Yang, Yuanyu Wan, Lijun Zhang

ICML 2024 Projection-Free Variance Reduction Methods for Stochastic Constrained Multi-Level Compositional Optimization Wei Jiang, Sifan Yang, Wenhao Yang, Yibo Wang, Yuanyu Wan, Lijun Zhang

ICML 2024 Small-Loss Adaptive Regret for Online Convex Optimization Wenhao Yang, Wei Jiang, Yibo Wang, Ping Yang, Yao Hu, Lijun Zhang

NeurIPS 2024 Universal Online Convex Optimization with $1$ Projection per Round Wenhao Yang, Yibo Wang, Peng Zhao, Lijun Zhang

AISTATS 2023 A Statistical Analysis of Polyak-Ruppert Averaged Q-Learning Xiang Li, Wenhao Yang, Jiadong Liang, Zhihua Zhang, Michael I. Jordan

ICML 2023 Regularization and Variance-Weighted Regression Achieves Minimax Optimality in Linear MDPs: Theory and Practice Toshinori Kitamura, Tadashi Kozuno, Yunhao Tang, Nino Vieillard, Michal Valko, Wenhao Yang, Jincheng Mei, Pierre Menard, Mohammad Gheshlaghi Azar, Remi Munos, Olivier Pietquin, Matthieu Geist, Csaba Szepesvari, Wataru Kumagai, Yutaka Matsuo

ICML 2023 Semiparametrically Efficient Off-Policy Evaluation in Linear Markov Decision Processes Chuhan Xie, Wenhao Yang, Zhihua Zhang

AISTATS 2022 Federated Reinforcement Learning with Environment Heterogeneity Hao Jin, Yang Peng, Wenhao Yang, Shusen Wang, Zhihua Zhang

NeurIPS 2022 Pluralistic Image Completion with Gaussian Mixture Models Xiaobo Xia, Wenhao Yang, Jie Ren, Yewen Li, Yibing Zhan, Bo Han, Tongliang Liu

NeurIPS 2022 Semi-Infinitely Constrained Markov Decision Processes Liangyu Zhang, Yang Peng, Wenhao Yang, Zhihua Zhang

ICCVW 2021 Instance Search via Fusing Hierarchical Multi-Level Retrieval and Human-Object Interaction Detection Wenhao Yang, Yinan Song, Zhicheng Zhao, Fei Su

ICLR 2020 On the Convergence of FedAvg on Non-IID Data Xiang Li, Kaixuan Huang, Wenhao Yang, Shusen Wang, Zhihua Zhang

NeurIPS 2019 A Regularized Approach to Sparse Optimal Policy in Reinforcement Learning Wenhao Yang, Xiang Li, Zhihua Zhang