Deep Neural Networks for Linear Sum Assignment Problems. - Mengyuan Lee; Yuanhao Xiong; Guanding Yu; Geoffrey Ye Li (IEEE Wirel. Commun. Lett., 2018)

Learning Traffic Signal Control from Demonstrations. - Yuanhao Xiong; Guanjie Zheng; Kai Xu; Zhenhui Li (CIKM, 2019)

Learning Phase Competition for Traffic Signal Control. - Guanjie Zheng; Yuanhao Xiong; Xinshi Zang; Jie Feng 002; Hua Wei 001; Huichu Zhang; Yong Li 008; Kai Xu 014; Zhenhui Li (CIKM, 2019)

Adaptive Gradient Methods with Dynamic Bound of Learning Rate. - Liangchen Luo; Yuanhao Xiong; Yan Liu; Xu Sun 001 (ICLR (Poster), 2019)

Toward A Thousand Lights: Decentralized Deep Reinforcement Learning for Large-Scale Traffic Signal Control. - Chacha Chen; Hua Wei 001; Nan Xu; Guanjie Zheng; Ming Yang; Yuanhao Xiong; Kai Xu 014; Zhenhui Li (AAAI, 2020)

Improved Adversarial Training via Learned Optimizer. - Yuanhao Xiong; Cho-Jui Hsieh (ECCV (8), 2020)

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

How much progress have we made in neural network training? A New Evaluation Protocol for Benchmarking Optimizers. - Yuanhao Xiong; Xuanqing Liu; Li-Cheng Lan; Yang You 001; Si Si; Cho-Jui Hsieh (CoRR, 2020)

Adversarial Attack across Datasets. - Yunxiao Qin; Yuanhao Xiong; Jinfeng Yi; Cho-Jui Hsieh (CoRR, 2021)

Learning to Learn with Smooth Regularization. - Yuanhao Xiong; Cho-Jui Hsieh (ECCV (23), 2022)

Learning to Schedule Learning rate with Graph Neural Networks. - Yuanhao Xiong; Li-Cheng Lan; Xiangning Chen; Ruochen Wang; Cho-Jui Hsieh (ICLR, 2022)

Extreme Zero-Shot Learning for Extreme Text Classification. - Yuanhao Xiong; Wei-Cheng Chang; Cho-Jui Hsieh; Hsiang-Fu Yu; Inderjit S. Dhillon (NAACL-HLT, 2022)

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

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

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

Spatiotemporally Discriminative Video-Language Pre-Training with Text Grounding. - Yuanhao Xiong; Long Zhao 003; Boqing Gong; Ming-Hsuan Yang 001; Florian Schroff; Ting Liu 005; Cho-Jui Hsieh; Liangzhe Yuan (CoRR, 2023)

UNICORN: A Unified Causal Video-Oriented Language-Modeling Framework for Temporal Video-Language Tasks. - Yuanhao Xiong; Yixin Nie; Haotian Liu; Boxin Wang; Jun Chen; Rong Jin 001; Cho-Jui Hsieh; Lorenzo Torresani; Jie Lei (EMNLP, 2024)

Structured Video-Language Modeling with Temporal Grouping and Spatial Grounding. - Yuanhao Xiong; Long Zhao 003; Boqing Gong; Ming-Hsuan Yang 001; Florian Schroff; Ting Liu 005; Cho-Jui Hsieh; Liangzhe Yuan (ICLR, 2024)

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