Yuanhao Xiong

Publication Activity (10 Years)

Years Active: 2018-2024
Publications (10 Years): 26

Top Topics

Language Modeling

Top Venues

Publications

Justin Cui, Ruochen Wang, Yuanhao Xiong, Cho-Jui Hsieh
Ameliorate Spurious Correlations in Dataset Condensation. CoRR (2024)
Yuanhao Xiong, Long Zhao, Boqing Gong, Ming-Hsuan Yang, Florian Schroff, Ting Liu, Cho-Jui Hsieh, Liangzhe Yuan
Structured Video-Language Modeling with Temporal Grouping and Spatial Grounding. ICLR (2024)
Yuanhao Xiong, Ruochen Wang, Minhao Cheng, Felix Yu, Cho-Jui Hsieh
FedDM: Iterative Distribution Matching for Communication-Efficient Federated Learning. CVPR (2023)
Yunxiao Qin, Yuanhao Xiong, Jinfeng Yi, Cho-Jui Hsieh
Training Meta-Surrogate Model for Transferable Adversarial Attack. AAAI (2023)
Yuanhao Xiong, Long Zhao, Boqing Gong, Ming-Hsuan Yang, Florian Schroff, Ting Liu, Cho-Jui Hsieh, Liangzhe Yuan
Spatiotemporally Discriminative Video-Language Pre-Training with Text Grounding. CoRR (2023)
Yuanhao Xiong, Wei-Cheng Chang, Cho-Jui Hsieh, Hsiang-Fu Yu, Inderjit S. Dhillon
Extreme Zero-Shot Learning for Extreme Text Classification. NAACL-HLT (2022)
Yuanhao Xiong, Ruochen Wang, Minhao Cheng, Felix Yu, Cho-Jui Hsieh
FedDM: Iterative Distribution Matching for Communication-Efficient Federated Learning. CoRR (2022)
Yuanhao Xiong, Li-Cheng Lan, Xiangning Chen, Ruochen Wang, Cho-Jui Hsieh
Learning to Schedule Learning rate with Graph Neural Networks. ICLR (2022)
Ruochen Wang, Yuanhao Xiong, Minhao Cheng, Cho-Jui Hsieh
Efficient Non-Parametric Optimizer Search for Diverse Tasks. NeurIPS (2022)
Yuanhao Xiong, Cho-Jui Hsieh
Learning to Learn with Smooth Regularization. ECCV (23) (2022)
Ruochen Wang, Yuanhao Xiong, Minhao Cheng, Cho-Jui Hsieh
Efficient Non-Parametric Optimizer Search for Diverse Tasks. CoRR (2022)
Yunxiao Qin, Yuanhao Xiong, Jinfeng Yi, Cho-Jui Hsieh
Training Meta-Surrogate Model for Transferable Adversarial Attack. CoRR (2021)
Yunxiao Qin, Yuanhao Xiong, Jinfeng Yi, Cho-Jui Hsieh
Adversarial Attack across Datasets. CoRR (2021)
Yuanhao Xiong, Wei-Cheng Chang, Cho-Jui Hsieh, Hsiang-Fu Yu, Inderjit S. Dhillon
Extreme Zero-Shot Learning for Extreme Text Classification. CoRR (2021)
Yuanhao Xiong, Cho-Jui Hsieh
Improved Adversarial Training via Learned Optimizer. ECCV (8) (2020)
Yuanhao Xiong, Xuanqing Liu, Li-Cheng Lan, Yang You, Si Si, Cho-Jui Hsieh
How much progress have we made in neural network training? A New Evaluation Protocol for Benchmarking Optimizers. CoRR (2020)
Chacha Chen, Hua Wei, Nan Xu, Guanjie Zheng, Ming Yang, Yuanhao Xiong, Kai Xu, Zhenhui Li
Toward A Thousand Lights: Decentralized Deep Reinforcement Learning for Large-Scale Traffic Signal Control. AAAI (2020)
Yuanhao Xiong, Cho-Jui Hsieh
Improved Adversarial Training via Learned Optimizer. CoRR (2020)
Yangjun Ruan, Yuanhao Xiong, Sashank J. Reddi, Sanjiv Kumar, Cho-Jui Hsieh
Learning to Learn by Zeroth-Order Oracle. ICLR (2020)
Yuanhao Xiong, Guanjie Zheng, Kai Xu, Zhenhui Li
Learning Traffic Signal Control from Demonstrations. CIKM (2019)
Liangchen Luo, Yuanhao Xiong, Yan Liu, Xu Sun
Adaptive Gradient Methods with Dynamic Bound of Learning Rate. ICLR (Poster) (2019)
Yangjun Ruan, Yuanhao Xiong, Sashank J. Reddi, Sanjiv Kumar, Cho-Jui Hsieh
Learning to Learn by Zeroth-Order Oracle. CoRR (2019)
Guanjie Zheng, Yuanhao Xiong, Xinshi Zang, Jie Feng, Hua Wei, Huichu Zhang, Yong Li, Kai Xu, Zhenhui Li
Learning Phase Competition for Traffic Signal Control. CIKM (2019)
Liangchen Luo, Yuanhao Xiong, Yan Liu, Xu Sun
Adaptive Gradient Methods with Dynamic Bound of Learning Rate. CoRR (2019)
Guanjie Zheng, Yuanhao Xiong, Xinshi Zang, Jie Feng, Hua Wei, Huichu Zhang, Yong Li, Kai Xu, Zhenhui Li
Learning Phase Competition for Traffic Signal Control. CoRR (2019)
Mengyuan Lee, Yuanhao Xiong, Guanding Yu, Geoffrey Ye Li
Deep Neural Networks for Linear Sum Assignment Problems. IEEE Wirel. Commun. Lett. 7 (6) (2018)