Publications

* indicates equal contribution.

Preprint

  • 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, Si Si, Cho-Jui Hsieh
    Under Review [Paper]

2020

  • Improved Adversarial Training via Learned Optimizer
    Yuanhao Xiong, Cho-Jui Hsieh
    European Conference on Computer Vision (ECCV), 2020 [Paper]
  • Learning to Learn by Zeroth-Order Oracle
    Yangjun Ruan, Yuanhao Xiong, Sashank Reddi, Sanjiv Kumar, Cho-Jui Hsieh
    International Conference on Learning Representations (ICLR), 2020 [Paper]
  • 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
    AAAI Conference on Artificial Intelligence (AAAI), 2020 [Paper]

2019

  • Learning Traffic Signal Control from Demonstrations
    Yuanhao Xiong, Guanjie Zheng, Kai Xu, Zhenhui Li
    International Conference on Information and Knowledge Management (CIKM), 2019 [Paper]
  • Learning Phase Competition for Traffic Signal Control
    Guanjie Zheng, Yuanhao Xiong, Xinshi Zang, Jie Feng, Hua Wei, Huichu Zhang, Yong Li, Kai Xu, Zhenhui Li
    International Conference on Information and Knowledge Management (CIKM), 2019 [Paper]
  • Adaptive Gradient Methods with Dynamic Bound of Learning Rate
    Yuanhao Xiong*, Liangchen Luo*, Yan Liu
    International Conference on Learning Representations (ICLR), 2019 [Paper]

2018

  • Deep Neural Networks for Linear Sum Assignment Problems
    Mengyuan Lee, Yuanhao Xiong, Guanding Yu, Geoffrey Ye Li
    IEEE Wireless Communications Letters, 2018 [Paper]