Yuanhao Xiong

According to our database, Yuanhao Xiong authored at least 16 papers between 2018 and 2023.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2023

Spatiotemporally Discriminative Video-Language Pre-Training with Text Grounding.

Yuanhao Xiong, Long Zhao, Boqing Gong, Ming-Hsuan Yang, Florian Schroff, Ting Liu, Cho-Jui Hsieh, Liangzhe Yuan

CoRR, 2023

FedDM: Iterative Distribution Matching for Communication-Efficient Federated Learning.

Yuanhao Xiong, Ruochen Wang, Minhao Cheng, Felix Yu, Cho-Jui Hsieh

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2023

Training Meta-Surrogate Model for Transferable Adversarial Attack.

Yunxiao Qin, Yuanhao Xiong, Jinfeng Yi, Cho-Jui Hsieh

Proceedings of the Thirty-Seventh AAAI Conference on Artificial Intelligence, 2023

2022

Efficient Non-Parametric Optimizer Search for Diverse Tasks.

Ruochen Wang, Yuanhao Xiong, Minhao Cheng, Cho-Jui Hsieh

Proceedings of the Advances in Neural Information Processing Systems 35: Annual Conference on Neural Information Processing Systems 2022, 2022

Extreme Zero-Shot Learning for Extreme Text Classification.

Yuanhao Xiong, Wei-Cheng Chang, Cho-Jui Hsieh, Hsiang-Fu Yu, Inderjit S. Dhillon

Proceedings of the 2022 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies, 2022

Learning to Schedule Learning rate with Graph Neural Networks.

Yuanhao Xiong, Li-Cheng Lan, Xiangning Chen, Ruochen Wang, Cho-Jui Hsieh

Proceedings of the Tenth International Conference on Learning Representations, 2022

Learning to Learn with Smooth Regularization.

Yuanhao Xiong, Cho-Jui Hsieh

Proceedings of the Computer Vision - ECCV 2022, 2022

2021

Adversarial Attack across Datasets.

Yunxiao Qin, Yuanhao Xiong, Jinfeng Yi, Cho-Jui Hsieh

CoRR, 2021

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, Si Si, Cho-Jui Hsieh

CoRR, 2020

Learning to Learn by Zeroth-Order Oracle.

Yangjun Ruan, Yuanhao Xiong, Sashank J. Reddi, Sanjiv Kumar, Cho-Jui Hsieh

Proceedings of the 8th International Conference on Learning Representations, 2020

Improved Adversarial Training via Learned Optimizer.

Yuanhao Xiong, Cho-Jui Hsieh

Proceedings of the Computer Vision - ECCV 2020, 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

Proceedings of the Thirty-Fourth AAAI Conference on Artificial Intelligence, 2020

2019

Adaptive Gradient Methods with Dynamic Bound of Learning Rate.

Liangchen Luo, Yuanhao Xiong, Yan Liu, Xu Sun

Proceedings of the 7th International Conference on Learning Representations, 2019

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

Proceedings of the 28th ACM International Conference on Information and Knowledge Management, 2019

Learning Traffic Signal Control from Demonstrations.

Yuanhao Xiong, Guanjie Zheng, Kai Xu, Zhenhui Li

Proceedings of the 28th ACM International Conference on Information and Knowledge Management, 2019

2018

Deep Neural Networks for Linear Sum Assignment Problems.

Mengyuan Lee, Yuanhao Xiong, Guanding Yu, Geoffrey Ye Li

IEEE Wirel. Commun. Lett., 2018