Haoxiang Wang - RankMe

29 papers A* 5A 1Journal 19Unranked 4

Year	Rank	Type	Title / Venue / Authors
2024	—	`conf`	Arithmetic Control of LLMs for Diverse User Preferences: Directional Preference Alignment with Multi-Objective Rewards. ACL (1) Haoxiang Wang, Yong Lin, Wei Xiong, Rui Yang, Shizhe Diao, Shuang Qiu, Han Zhao, Tong Zhang
2024	J	`jnl`	Arithmetic Control of LLMs for Diverse User Preferences: Directional Preference Alignment with Multi-Objective Rewards. CoRR Haoxiang Wang, Yong Lin, Wei Xiong, Rui Yang, Shizhe Diao, Shuang Qiu, Han Zhao, Tong Zhang
2024	J	`jnl`	Enhancing Compositional Generalization via Compositional Feature Alignment. CoRR Haoxiang Wang, Haozhe Si, Huajie Shao, Han Zhao
2024	J	`jnl`	Enhancing Compositional Generalization via Compositional Feature Alignment. Trans. Mach. Learn. Res. Haoxiang Wang, Haozhe Si, Huajie Shao, Han Zhao
2024	J	`jnl`	Gradual Domain Adaptation: Theory and Algorithms. J. Mach. Learn. Res. Yifei He, Haoxiang Wang, Bo Li, Han Zhao
2024	—	`conf`	Interpretable Preferences via Multi-Objective Reward Modeling and Mixture-of-Experts. EMNLP (Findings) Haoxiang Wang, Wei Xiong, Tengyang Xie, Han Zhao, Tong Zhang
2024	J	`jnl`	Interpretable Preferences via Multi-Objective Reward Modeling and Mixture-of-Experts. CoRR Haoxiang Wang, Wei Xiong, Tengyang Xie, Han Zhao, Tong Zhang
2024	A*	`conf`	Mitigating the Alignment Tax of RLHF. EMNLP Yong Lin, Hangyu Lin, Wei Xiong, Shizhe Diao, Jianmeng Liu, Jipeng Zhang, Rui Pan, Haoxiang Wang, Wenbin Hu, Hanning Zhang, Hanze Dong, Renjie Pi, Han Zhao, Nan Jiang, Heng Ji, Yuan Yao, Tong Zhang
2024	J	`jnl`	RLHF Workflow: From Reward Modeling to Online RLHF. CoRR Hanze Dong, Wei Xiong, Bo Pang, Haoxiang Wang, Han Zhao, Yingbo Zhou, Nan Jiang, Doyen Sahoo, Caiming Xiong, Tong Zhang
2024	J	`jnl`	RLHF Workflow: From Reward Modeling to Online RLHF. Trans. Mach. Learn. Res. Hanze Dong, Wei Xiong, Bo Pang, Haoxiang Wang, Han Zhao, Yingbo Zhou, Nan Jiang, Doyen Sahoo, Caiming Xiong, Tong Zhang
2024	—	`conf`	SAM-CLIP: Merging Vision Foundation Models towards Semantic and Spatial Understanding. CVPR Workshops Haoxiang Wang, Pavan Kumar Anasosalu Vasu, Fartash Faghri, Raviteja Vemulapalli, Mehrdad Farajtabar, Sachin Mehta, Mohammad Rastegari, Oncel Tuzel, Hadi Pouransari
2024	—	`conf`	Semi-Supervised Reward Modeling via Iterative Self-Training. EMNLP (Findings) Yifei He, Haoxiang Wang, Ziyan Jiang, Alexandros Papangelis, Han Zhao
2024	J	`jnl`	Semi-Supervised Reward Modeling via Iterative Self-Training. CoRR Yifei He, Haoxiang Wang, Ziyan Jiang, Alexandros Papangelis, Han Zhao
2023	J	`jnl`	Gradual Domain Adaptation: Theory and Algorithms. CoRR Yifei He, Haoxiang Wang, Bo Li, Han Zhao
2023	J	`jnl`	Invariant-Feature Subspace Recovery: A New Class of Provable Domain Generalization Algorithms. CoRR Haoxiang Wang, Gargi Balasubramaniam, Haozhe Si, Bo Li, Han Zhao
2023	J	`jnl`	Mitigating the Alignment Tax of RLHF. CoRR Yong Lin, Hangyu Lin, Wei Xiong, Shizhe Diao, Jianmeng Liu, Jipeng Zhang, Rui Pan, Haoxiang Wang, Wenbin Hu, Hanning Zhang, Hanze Dong, Renjie Pi, Han Zhao, Nan Jiang, Yuan Yao, Tong Zhang
2023	J	`jnl`	SAM-CLIP: Merging Vision Foundation Models towards Semantic and Spatial Understanding. CoRR Haoxiang Wang, Pavan Kumar Anasosalu Vasu, Fartash Faghri, Raviteja Vemulapalli, Mehrdad Farajtabar, Sachin Mehta, Mohammad Rastegari, Oncel Tuzel, Hadi Pouransari
2022	J	`jnl`	Future Gradient Descent for Adapting the Temporal Shifting Data Distribution in Online Recommendation Systems. CoRR Mao Ye, Ruichen Jiang, Haoxiang Wang, Dhruv Choudhary, Xiaocong Du, Bhargav Bhushanam, Aryan Mokhtari, Arun Kejariwal, Qiang Liu
2022	A	`conf`	Future gradient descent for adapting the temporal shifting data distribution in online recommendation systems. UAI Mao Ye, Ruichen Jiang, Haoxiang Wang, Dhruv Choudhary, Xiaocong Du, Bhargav Bhushanam, Aryan Mokhtari, Arun Kejariwal, Qiang Liu
2022	A*	`conf`	Global Convergence of MAML and Theory-Inspired Neural Architecture Search for Few-Shot Learning. CVPR Haoxiang Wang, Yite Wang, Ruoyu Sun, Bo Li
2022	J	`jnl`	Global Convergence of MAML and Theory-Inspired Neural Architecture Search for Few-Shot Learning. CoRR Haoxiang Wang, Yite Wang, Ruoyu Sun, Bo Li
2022	J	`jnl`	Predicting Properties of Quantum Systems with Conditional Generative Models. CoRR Haoxiang Wang, Maurice Weber, Josh A. Izaac, Cedric Yen-Yu Lin
2022	A*	`conf`	Provable Domain Generalization via Invariant-Feature Subspace Recovery. ICML Haoxiang Wang, Haozhe Si, Bo Li, Han Zhao
2022	J	`jnl`	Provable Domain Generalization via Invariant-Feature Subspace Recovery. CoRR Haoxiang Wang, Haozhe Si, Bo Li, Han Zhao
2022	A*	`conf`	Understanding Gradual Domain Adaptation: Improved Analysis, Optimal Path and Beyond. ICML Haoxiang Wang, Bo Li, Han Zhao
2022	J	`jnl`	Understanding Gradual Domain Adaptation: Improved Analysis, Optimal Path and Beyond. CoRR Haoxiang Wang, Bo Li, Han Zhao
2021	A*	`conf`	Bridging Multi-Task Learning and Meta-Learning: Towards Efficient Training and Effective Adaptation. ICML Haoxiang Wang, Han Zhao, Bo Li
2021	J	`jnl`	Bridging Multi-Task Learning and Meta-Learning: Towards Efficient Training and Effective Adaptation. CoRR Haoxiang Wang, Han Zhao, Bo Li
2020	J	`jnl`	Global Convergence and Induced Kernels of Gradient-Based Meta-Learning with Neural Nets. CoRR Haoxiang Wang, Ruoyu Sun, Bo Li