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Yuanhao Xiong
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2020 – today
- 2024
- [c15]Yuanhao Xiong, Yixin Nie, Haotian Liu, Boxin Wang, Jun Chen, Rong Jin, Cho-Jui Hsieh, Lorenzo Torresani, Jie Lei:
UNICORN: A Unified Causal Video-Oriented Language-Modeling Framework for Temporal Video-Language Tasks. EMNLP 2024: 12983-12997 - [c14]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 - [c13]Justin Cui, Ruochen Wang, Yuanhao Xiong, Cho-Jui Hsieh:
Ameliorate Spurious Correlations in Dataset Condensation. ICML 2024 - [i12]Justin Cui, Ruochen Wang, Yuanhao Xiong, Cho-Jui Hsieh:
Ameliorate Spurious Correlations in Dataset Condensation. CoRR abs/2406.06609 (2024) - 2023
- [c12]Yunxiao Qin, Yuanhao Xiong, Jinfeng Yi, Cho-Jui Hsieh:
Training Meta-Surrogate Model for Transferable Adversarial Attack. AAAI 2023: 9516-9524 - [c11]Yuanhao Xiong, Ruochen Wang, Minhao Cheng
, Felix Yu, Cho-Jui Hsieh:
FedDM: Iterative Distribution Matching for Communication-Efficient Federated Learning. CVPR 2023: 16323-16332 - [i11]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 abs/2303.16341 (2023) - 2022
- [c10]Yuanhao Xiong, Cho-Jui Hsieh:
Learning to Learn with Smooth Regularization. ECCV (23) 2022: 550-565 - [c9]Yuanhao Xiong, Li-Cheng Lan, Xiangning Chen, Ruochen Wang, Cho-Jui Hsieh:
Learning to Schedule Learning rate with Graph Neural Networks. ICLR 2022 - [c8]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: 5455-5468 - [c7]Ruochen Wang, Yuanhao Xiong, Minhao Cheng, Cho-Jui Hsieh:
Efficient Non-Parametric Optimizer Search for Diverse Tasks. NeurIPS 2022 - [i10]Yuanhao Xiong, Ruochen Wang, Minhao Cheng, Felix Yu, Cho-Jui Hsieh:
FedDM: Iterative Distribution Matching for Communication-Efficient Federated Learning. CoRR abs/2207.09653 (2022) - [i9]Ruochen Wang, Yuanhao Xiong, Minhao Cheng, Cho-Jui Hsieh:
Efficient Non-Parametric Optimizer Search for Diverse Tasks. CoRR abs/2209.13575 (2022) - 2021
- [i8]Yunxiao Qin, Yuanhao Xiong, Jinfeng Yi, Cho-Jui Hsieh:
Training Meta-Surrogate Model for Transferable Adversarial Attack. CoRR abs/2109.01983 (2021) - [i7]Yunxiao Qin, Yuanhao Xiong, Jinfeng Yi, Cho-Jui Hsieh:
Adversarial Attack across Datasets. CoRR abs/2110.07718 (2021) - [i6]Yuanhao Xiong, Wei-Cheng Chang, Cho-Jui Hsieh, Hsiang-Fu Yu, Inderjit S. Dhillon:
Extreme Zero-Shot Learning for Extreme Text Classification. CoRR abs/2112.08652 (2021) - 2020
- [c6]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: 3414-3421 - [c5]Yuanhao Xiong, Cho-Jui Hsieh:
Improved Adversarial Training via Learned Optimizer. ECCV (8) 2020: 85-100 - [c4]Yangjun Ruan, Yuanhao Xiong, Sashank J. Reddi, Sanjiv Kumar, Cho-Jui Hsieh:
Learning to Learn by Zeroth-Order Oracle. ICLR 2020 - [i5]Yuanhao Xiong, Cho-Jui Hsieh:
Improved Adversarial Training via Learned Optimizer. CoRR abs/2004.12227 (2020) - [i4]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 abs/2010.09889 (2020)
2010 – 2019
- 2019
- [c3]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: 1963-1972 - [c2]Yuanhao Xiong, Guanjie Zheng, Kai Xu, Zhenhui Li:
Learning Traffic Signal Control from Demonstrations. CIKM 2019: 2289-2292 - [c1]Liangchen Luo, Yuanhao Xiong, Yan Liu, Xu Sun:
Adaptive Gradient Methods with Dynamic Bound of Learning Rate. ICLR (Poster) 2019 - [i3]Liangchen Luo, Yuanhao Xiong, Yan Liu, Xu Sun:
Adaptive Gradient Methods with Dynamic Bound of Learning Rate. CoRR abs/1902.09843 (2019) - [i2]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 abs/1905.04722 (2019) - [i1]Yangjun Ruan, Yuanhao Xiong, Sashank J. Reddi, Sanjiv Kumar, Cho-Jui Hsieh:
Learning to Learn by Zeroth-Order Oracle. CoRR abs/1910.09464 (2019) - 2018
- [j1]Mengyuan Lee
Deep Neural Networks for Linear Sum Assignment Problems. IEEE Wirel. Commun. Lett. 7(6): 962-965 (2018)
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