Yuanhao Xiong - RankMe

32 papers A* 9A 2Journal 17Unranked 4

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	Generalized Transferable Attack Across Datasets. IEEE Trans. Circuits Syst. Video Technol. Yunxiao Qin, Yuanhao Xiong, Jinfeng Yi, Lihong Cao, Cho-Jui Hsieh
2025	J	`jnl`	AdvancedIF: Rubric-Based Benchmarking and Reinforcement Learning for Advancing LLM Instruction Following. CoRR Yun He, Wenzhe Li, Hejia Zhang, Songlin Li, Karishma Mandyam, Sopan Khosla, Yuanhao Xiong, Nanshu Wang, Xiaoliang Peng, Beibin Li, Shengjie Bi, Shishir G. Patil, Qi Qi, Shengyu Feng, Julian Katz-Samuels, Richard Yuanzhe Pang, Sujan Gonugondla, Hunter Lang, Yue Yu, Yundi Qian, Maryam Fazel-Zarandi, Licheng Yu, Amine Benhalloum, Hany Awadalla, Manaal Faruqui
2025	J	`jnl`	Dual-Weighted Reinforcement Learning for Generative Preference Modeling. CoRR Shengyu Feng, Yun He, Shuang Ma, Beibin Li, Yuanhao Xiong, Songlin Li, Karishma Mandyam, Julian Katz-Samuels, Shengjie Bi, Licheng Yu, Hejia Zhang, Karthik Abinav Sankararaman, Han Fang, Riham Mansour, Yiming Yang, Manaal Faruqui
2025	J	`jnl`	Scaling Agent Learning via Experience Synthesis. CoRR Zhaorun Chen, Zhuokai Zhao, Kai Zhang, Bo Liu, Qi Qi, Yifan Wu, Tarun Kalluri, Sara Cao, Yuanhao Xiong, Haibo Tong, Huaxiu Yao, Hengduo Li, Jiacheng Zhu, Xian Li, Dawn Song, Bo Li, Jason Weston, Dat Huynh
2024	A*	`conf`	Ameliorate Spurious Correlations in Dataset Condensation. ICML Justin Cui, Ruochen Wang, Yuanhao Xiong, Cho-Jui Hsieh
2024	J	`jnl`	Ameliorate Spurious Correlations in Dataset Condensation. CoRR Justin Cui, Ruochen Wang, Yuanhao Xiong, Cho-Jui Hsieh
2024	A*	`conf`	Structured Video-Language Modeling with Temporal Grouping and Spatial Grounding. ICLR Yuanhao Xiong, Long Zhao, Boqing Gong, Ming-Hsuan Yang, Florian Schroff, Ting Liu, Cho-Jui Hsieh, Liangzhe Yuan
2024	A*	`conf`	UNICORN: A Unified Causal Video-Oriented Language-Modeling Framework for Temporal Video-Language Tasks. EMNLP Yuanhao Xiong, Yixin Nie, Haotian Liu, Boxin Wang, Jun Chen, Rong Jin, Cho-Jui Hsieh, Lorenzo Torresani, Jie Lei
2023	A*	`conf`	FedDM: Iterative Distribution Matching for Communication-Efficient Federated Learning. CVPR Yuanhao Xiong, Ruochen Wang, Minhao Cheng, Felix X. Yu, Cho-Jui Hsieh
2023	J	`jnl`	Spatiotemporally Discriminative Video-Language Pre-Training with Text Grounding. CoRR Yuanhao Xiong, Long Zhao, Boqing Gong, Ming-Hsuan Yang, Florian Schroff, Ting Liu, Cho-Jui Hsieh, Liangzhe Yuan
2023	A*	`conf`	Training Meta-Surrogate Model for Transferable Adversarial Attack. AAAI Yunxiao Qin, Yuanhao Xiong, Jinfeng Yi, Cho-Jui Hsieh
2022	A*	`conf`	Efficient Non-Parametric Optimizer Search for Diverse Tasks. NeurIPS Ruochen Wang, Yuanhao Xiong, Minhao Cheng, Cho-Jui Hsieh
2022	J	`jnl`	Efficient Non-Parametric Optimizer Search for Diverse Tasks. CoRR Ruochen Wang, Yuanhao Xiong, Minhao Cheng, Cho-Jui Hsieh
2022	—	`conf`	Extreme Zero-Shot Learning for Extreme Text Classification. NAACL-HLT Yuanhao Xiong, Wei-Cheng Chang, Cho-Jui Hsieh, Hsiang-Fu Yu, Inderjit S. Dhillon
2022	J	`jnl`	FedDM: Iterative Distribution Matching for Communication-Efficient Federated Learning. CoRR Yuanhao Xiong, Ruochen Wang, Minhao Cheng, Felix X. Yu, Cho-Jui Hsieh
2022	—	`conf`	Learning to Learn with Smooth Regularization. ECCV (23) Yuanhao Xiong, Cho-Jui Hsieh
2022	A*	`conf`	Learning to Schedule Learning rate with Graph Neural Networks. ICLR Yuanhao Xiong, Li-Cheng Lan, Xiangning Chen, Ruochen Wang, Cho-Jui Hsieh
2021	J	`jnl`	Adversarial Attack across Datasets. CoRR Yunxiao Qin, Yuanhao Xiong, Jinfeng Yi, Cho-Jui Hsieh
2021	J	`jnl`	Extreme Zero-Shot Learning for Extreme Text Classification. CoRR Yuanhao Xiong, Wei-Cheng Chang, Cho-Jui Hsieh, Hsiang-Fu Yu, Inderjit S. Dhillon
2021	J	`jnl`	Training Meta-Surrogate Model for Transferable Adversarial Attack. CoRR Yunxiao Qin, Yuanhao Xiong, Jinfeng Yi, Cho-Jui Hsieh
2020	J	`jnl`	How much progress have we made in neural network training? A New Evaluation Protocol for Benchmarking Optimizers. CoRR Yuanhao Xiong, Xuanqing Liu, Li-Cheng Lan, Yang You, Si Si, Cho-Jui Hsieh
2020	—	`conf`	Improved Adversarial Training via Learned Optimizer. ECCV (8) Yuanhao Xiong, Cho-Jui Hsieh
2020	J	`jnl`	Improved Adversarial Training via Learned Optimizer. CoRR Yuanhao Xiong, Cho-Jui Hsieh
2020	A*	`conf`	Learning to Learn by Zeroth-Order Oracle. ICLR Yangjun Ruan, Yuanhao Xiong, Sashank J. Reddi, Sanjiv Kumar, Cho-Jui Hsieh
2020	A*	`conf`	Toward A Thousand Lights: Decentralized Deep Reinforcement Learning for Large-Scale Traffic Signal Control. AAAI Chacha Chen, Hua Wei, Nan Xu, Guanjie Zheng, Ming Yang, Yuanhao Xiong, Kai Xu, Zhenhui Li
2019	—	`conf`	Adaptive Gradient Methods with Dynamic Bound of Learning Rate. ICLR (Poster) Liangchen Luo, Yuanhao Xiong, Yan Liu, Xu Sun
2019	J	`jnl`	Adaptive Gradient Methods with Dynamic Bound of Learning Rate. CoRR Liangchen Luo, Yuanhao Xiong, Yan Liu, Xu Sun
2019	A	`conf`	Learning Phase Competition for Traffic Signal Control. CIKM Guanjie Zheng, Yuanhao Xiong, Xinshi Zang, Jie Feng, Hua Wei, Huichu Zhang, Yong Li, Kai Xu, Zhenhui Li
2019	J	`jnl`	Learning Phase Competition for Traffic Signal Control. CoRR Guanjie Zheng, Yuanhao Xiong, Xinshi Zang, Jie Feng, Hua Wei, Huichu Zhang, Yong Li, Kai Xu, Zhenhui Li
2019	A	`conf`	Learning Traffic Signal Control from Demonstrations. CIKM Yuanhao Xiong, Guanjie Zheng, Kai Xu, Zhenhui Li
2019	J	`jnl`	Learning to Learn by Zeroth-Order Oracle. CoRR Yangjun Ruan, Yuanhao Xiong, Sashank J. Reddi, Sanjiv Kumar, Cho-Jui Hsieh
2018	J	`jnl`	Deep Neural Networks for Linear Sum Assignment Problems. IEEE Wirel. Commun. Lett. Mengyuan Lee, Yuanhao Xiong, Guanding Yu, Geoffrey Ye Li