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]
2022
- Learning to Learn with Smooth Regularization
Yuanhao Xiong, Cho-Jui Hsieh
European Conference on Computer Vision (ECCV), 2022 [Paper] - Extreme Zero-Shot Learning for Extreme Text Classification
Yuanhao Xiong, Wei-Cheng Chang, Cho-Jui Hsieh, Hsiang-Fu Yu, Inderjit S Dhillon
Conference of the North American Chapter of the Association for Computational Linguistics (NAACL), 2022 [Paper][Code] - Learning to Schedule Learning rate with Graph Neural Networks
Yuanhao Xiong, Li-Cheng Lan, Xiangning Chen, Ruochen Wang, Cho-Jui Hsieh
International Conference on Learning Representations (ICLR), 2022 [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]