Xiong, Yuanhao

12 publications

ICML 2024 Ameliorate Spurious Correlations in Dataset Condensation Justin Cui, Ruochen Wang, Yuanhao Xiong, Cho-Jui Hsieh

ICLR 2024 Structured Video-Language Modeling with Temporal Grouping and Spatial Grounding Yuanhao Xiong, Long Zhao, Boqing Gong, Ming-Hsuan Yang, Florian Schroff, Ting Liu, Cho-Jui Hsieh, Liangzhe Yuan

CVPR 2023 FedDM: Iterative Distribution Matching for Communication-Efficient Federated Learning Yuanhao Xiong, Ruochen Wang, Minhao Cheng, Felix Yu, Cho-Jui Hsieh

AAAI 2023 Training Meta-Surrogate Model for Transferable Adversarial Attack Yunxiao Qin, Yuanhao Xiong, Jinfeng Yi, Cho-Jui Hsieh

NeurIPS 2022 Efficient Non-Parametric Optimizer Search for Diverse Tasks Ruochen Wang, Yuanhao Xiong, Minhao Cheng, Cho-Jui Hsieh

NeurIPSW 2022 FedDM: Iterative Distribution Matching for Communication-Efficient Federated Learning Yuanhao Xiong, Ruochen Wang, Minhao Cheng, Felix Yu, Cho-Jui Hsieh

ECCV 2022 Learning to Learn with Smooth Regularization Yuanhao Xiong, Cho-Jui Hsieh

ICLR 2022 Learning to Schedule Learning Rate with Graph Neural Networks Yuanhao Xiong, Li-Cheng Lan, Xiangning Chen, Ruochen Wang, Cho-Jui Hsieh

ECCV 2020 Improved Adversarial Training via Learned Optimizer Yuanhao Xiong, Cho-Jui Hsieh

ICLR 2020 Learning to Learn by Zeroth-Order Oracle Yangjun Ruan, Yuanhao Xiong, Sashank Reddi, Sanjiv Kumar, Cho-Jui Hsieh

AAAI 2020 Toward a Thousand Lights: Decentralized Deep Reinforcement Learning for Large-Scale Traffic Signal Control Chacha Chen, Hua Wei, Nan Xu, Guanjie Zheng, Ming Yang, Yuanhao Xiong, Kai Xu, Zhenhui Li

ICLR 2019 Adaptive Gradient Methods with Dynamic Bound of Learning Rate Liangchen Luo, Yuanhao Xiong, Yan Liu, Xu Sun