Yulai Zhao - RankMe

24 papers A* 6A 2Journal 16

Year	Rank	Type	Title / Venue / Authors
2025	A*	`conf`	Adding Conditional Control to Diffusion Models with Reinforcement Learning. ICLR Yulai Zhao, Masatoshi Uehara, Gabriele Scalia, Sun-Yuan Kung, Tommaso Biancalani, Sergey Levine, Ehsan Hajiramezanali
2025	J	`jnl`	Every Question Has Its Own Value: Reinforcement Learning with Explicit Human Values. CoRR Dian Yu, Yulai Zhao, Kishan Panaganti, Linfeng Song, Haitao Mi, Dong Yu
2025	J	`jnl`	Inference-Time Alignment in Diffusion Models with Reward-Guided Generation: Tutorial and Review. CoRR Masatoshi Uehara, Yulai Zhao, Chenyu Wang, Xiner Li, Aviv Regev, Sergey Levine, Tommaso Biancalani
2025	J	`jnl`	Iterative Distillation for Reward-Guided Fine-Tuning of Diffusion Models in Biomolecular Design. CoRR Xingyu Su, Xiner Li, Masatoshi Uehara, Sunwoo Kim, Yulai Zhao, Gabriele Scalia, Ehsan Hajiramezanali, Tommaso Biancalani, Degui Zhi, Shuiwang Ji
2025	J	`jnl`	One Token to Fool LLM-as-a-Judge. CoRR Yulai Zhao, Haolin Liu, Dian Yu, S. Y. Kung, Haitao Mi, Dong Yu
2025	A*	`conf`	Reward-Guided Iterative Refinement in Diffusion Models at Test-Time with Applications to Protein and DNA Design. ICML Masatoshi Uehara, Xingyu Su, Yulai Zhao, Xiner Li, Aviv Regev, Shuiwang Ji, Sergey Levine, Tommaso Biancalani
2025	J	`jnl`	Reward-Guided Iterative Refinement in Diffusion Models at Test-Time with Applications to Protein and DNA Design. CoRR Masatoshi Uehara, Xingyu Su, Yulai Zhao, Xiner Li, Aviv Regev, Shuiwang Ji, Sergey Levine, Tommaso Biancalani
2024	J	`jnl`	Adding Conditional Control to Diffusion Models with Reinforcement Learning. CoRR Yulai Zhao, Masatoshi Uehara, Gabriele Scalia, Tommaso Biancalani, Sergey Levine, Ehsan Hajiramezanali
2024	A*	`conf`	Bridging Model-Based Optimization and Generative Modeling via Conservative Fine-Tuning of Diffusion Models. NeurIPS Masatoshi Uehara, Yulai Zhao, Ehsan Hajiramezanali, Gabriele Scalia, Gökcen Eraslan, Avantika Lal, Sergey Levine, Tommaso Biancalani
2024	J	`jnl`	Bridging Model-Based Optimization and Generative Modeling via Conservative Fine-Tuning of Diffusion Models. CoRR Masatoshi Uehara, Yulai Zhao, Ehsan Hajiramezanali, Gabriele Scalia, Gökcen Eraslan, Avantika Lal, Sergey Levine, Tommaso Biancalani
2024	J	`jnl`	Derivative-Free Guidance in Continuous and Discrete Diffusion Models with Soft Value-Based Decoding. CoRR Xiner Li, Yulai Zhao, Chenyu Wang, Gabriele Scalia, Gökcen Eraslan, Surag Nair, Tommaso Biancalani, Aviv Regev, Sergey Levine, Masatoshi Uehara
2024	A*	`conf`	Feedback Efficient Online Fine-Tuning of Diffusion Models. ICML Masatoshi Uehara, Yulai Zhao, Kevin Black, Ehsan Hajiramezanali, Gabriele Scalia, Nathaniel Lee Diamant, Alex M. Tseng, Sergey Levine, Tommaso Biancalani
2024	J	`jnl`	Feedback Efficient Online Fine-Tuning of Diffusion Models. CoRR Masatoshi Uehara, Yulai Zhao, Kevin Black, Ehsan Hajiramezanali, Gabriele Scalia, Nathaniel Lee Diamant, Alex M. Tseng, Sergey Levine, Tommaso Biancalani
2024	J	`jnl`	Fine-Tuning of Continuous-Time Diffusion Models as Entropy-Regularized Control. CoRR Masatoshi Uehara, Yulai Zhao, Kevin Black, Ehsan Hajiramezanali, Gabriele Scalia, Nathaniel Lee Diamant, Alex M. Tseng, Tommaso Biancalani, Sergey Levine
2024	A*	`conf`	Provably Efficient CVaR RL in Low-rank MDPs. ICLR Yulai Zhao, Wenhao Zhan, Xiaoyan Hu, Ho-fung Leung, Farzan Farnia, Wen Sun, Jason D. Lee
2024	J	`jnl`	Understanding Reinforcement Learning-Based Fine-Tuning of Diffusion Models: A Tutorial and Review. CoRR Masatoshi Uehara, Yulai Zhao, Tommaso Biancalani, Sergey Levine
2023	A	`conf`	Blessing of Class Diversity in Pre-training. AISTATS Yulai Zhao, Jianshu Chen, Simon S. Du
2023	A*	`conf`	Local Optimization Achieves Global Optimality in Multi-Agent Reinforcement Learning. ICML Yulai Zhao, Zhuoran Yang, Zhaoran Wang, Jason D. Lee
2023	J	`jnl`	Local Optimization Achieves Global Optimality in Multi-Agent Reinforcement Learning. CoRR Yulai Zhao, Zhuoran Yang, Zhaoran Wang, Jason D. Lee
2023	J	`jnl`	Provably Efficient CVaR RL in Low-rank MDPs. CoRR Yulai Zhao, Wenhao Zhan, Xiaoyan Hu, Ho-fung Leung, Farzan Farnia, Wen Sun, Jason D. Lee
2022	J	`jnl`	Blessing of Class Diversity in Pre-training. CoRR Yulai Zhao, Jianshu Chen, Simon S. Du
2022	J	`jnl`	Optimizing the Performative Risk under Weak Convexity Assumptions. CoRR Yulai Zhao
2022	A	`conf`	Provably Efficient Policy Optimization for Two-Player Zero-Sum Markov Games. AISTATS Yulai Zhao, Yuandong Tian, Jason D. Lee, Simon S. Du
2021	J	`jnl`	Provably Efficient Policy Gradient Methods for Two-Player Zero-Sum Markov Games. CoRR Yulai Zhao, Yuandong Tian, Jason D. Lee, Simon S. Du