Cheng Lu - RankMe

30 papers A* 14Journal 16

Year	Rank	Type	Title / Venue / Authors
2025	J	`jnl`	DPM-Solver++: Fast Solver for Guided Sampling of Diffusion Probabilistic Models. Mach. Intell. Res. Cheng Lu, Yuhao Zhou, Fan Bao, Jianfei Chen, Chongxuan Li, Jun Zhu
2024	A*	`conf`	Score Regularized Policy Optimization through Diffusion Behavior. ICLR Huayu Chen, Cheng Lu, Zhengyi Wang, Hang Su, Jun Zhu
2024	A*	`conf`	The Blessing of Randomness: SDE Beats ODE in General Diffusion-based Image Editing. ICLR Shen Nie, Hanzhong Allan Guo, Cheng Lu, Yuhao Zhou, Chenyu Zheng, Chongxuan Li
2024	A*	`conf`	Towards Efficient Exact Optimization of Language Model Alignment. ICML Haozhe Ji, Cheng Lu, Yilin Niu, Pei Ke, Hongning Wang, Jun Zhu, Jie Tang, Minlie Huang
2024	J	`jnl`	Towards Efficient and Exact Optimization of Language Model Alignment. CoRR Haozhe Ji, Cheng Lu, Yilin Niu, Pei Ke, Hongning Wang, Jun Zhu, Jie Tang, Minlie Huang
2023	A*	`conf`	Contrastive Energy Prediction for Exact Energy-Guided Diffusion Sampling in Offline Reinforcement Learning. ICML Cheng Lu, Huayu Chen, Jianfei Chen, Hang Su, Chongxuan Li, Jun Zhu
2023	J	`jnl`	Contrastive Energy Prediction for Exact Energy-Guided Diffusion Sampling in Offline Reinforcement Learning. CoRR Cheng Lu, Huayu Chen, Jianfei Chen, Hang Su, Chongxuan Li, Jun Zhu
2023	A*	`conf`	DPM-Solver-v3: Improved Diffusion ODE Solver with Empirical Model Statistics. NeurIPS Kaiwen Zheng, Cheng Lu, Jianfei Chen, Jun Zhu
2023	J	`jnl`	DPM-Solver-v3: Improved Diffusion ODE Solver with Empirical Model Statistics. CoRR Kaiwen Zheng, Cheng Lu, Jianfei Chen, Jun Zhu
2023	A*	`conf`	Gaussian Mixture Solvers for Diffusion Models. NeurIPS Hanzhong Guo, Cheng Lu, Fan Bao, Tianyu Pang, Shuicheng Yan, Chao Du, Chongxuan Li
2023	J	`jnl`	Gaussian Mixture Solvers for Diffusion Models. CoRR Hanzhong Guo, Cheng Lu, Fan Bao, Tianyu Pang, Shuicheng Yan, Chao Du, Chongxuan Li
2023	A*	`conf`	Improved Techniques for Maximum Likelihood Estimation for Diffusion ODEs. ICML Kaiwen Zheng, Cheng Lu, Jianfei Chen, Jun Zhu
2023	J	`jnl`	Improved Techniques for Maximum Likelihood Estimation for Diffusion ODEs. CoRR Kaiwen Zheng, Cheng Lu, Jianfei Chen, Jun Zhu
2023	A*	`conf`	Offline Reinforcement Learning via High-Fidelity Generative Behavior Modeling. ICLR Huayu Chen, Cheng Lu, Chengyang Ying, Hang Su, Jun Zhu
2023	A*	`conf`	On Calibrating Diffusion Probabilistic Models. NeurIPS Tianyu Pang, Cheng Lu, Chao Du, Min Lin, Shuicheng Yan, Zhijie Deng
2023	J	`jnl`	On Calibrating Diffusion Probabilistic Models. CoRR Tianyu Pang, Cheng Lu, Chao Du, Min Lin, Shuicheng Yan, Zhijie Deng
2023	A*	`conf`	ProlificDreamer: High-Fidelity and Diverse Text-to-3D Generation with Variational Score Distillation. NeurIPS Zhengyi Wang, Cheng Lu, Yikai Wang, Fan Bao, Chongxuan Li, Hang Su, Jun Zhu
2023	J	`jnl`	ProlificDreamer: High-Fidelity and Diverse Text-to-3D Generation with Variational Score Distillation. CoRR Zhengyi Wang, Cheng Lu, Yikai Wang, Fan Bao, Chongxuan Li, Hang Su, Jun Zhu
2023	J	`jnl`	Score Regularized Policy Optimization through Diffusion Behavior. CoRR Huayu Chen, Cheng Lu, Zhengyi Wang, Hang Su, Jun Zhu
2023	J	`jnl`	The Blessing of Randomness: SDE Beats ODE in General Diffusion-based Image Editing. CoRR Shen Nie, Hanzhong Allan Guo, Cheng Lu, Yuhao Zhou, Chenyu Zheng, Chongxuan Li
2022	J	`jnl`	DPM-Solver++: Fast Solver for Guided Sampling of Diffusion Probabilistic Models. CoRR Cheng Lu, Yuhao Zhou, Fan Bao, Jianfei Chen, Chongxuan Li, Jun Zhu
2022	A*	`conf`	DPM-Solver: A Fast ODE Solver for Diffusion Probabilistic Model Sampling in Around 10 Steps. NeurIPS Cheng Lu, Yuhao Zhou, Fan Bao, Jianfei Chen, Chongxuan Li, Jun Zhu
2022	J	`jnl`	DPM-Solver: A Fast ODE Solver for Diffusion Probabilistic Model Sampling in Around 10 Steps. CoRR Cheng Lu, Yuhao Zhou, Fan Bao, Jianfei Chen, Chongxuan Li, Jun Zhu
2022	J	`jnl`	Maximum Likelihood Training for Score-Based Diffusion ODEs by High-Order Denoising Score Matching. CoRR Cheng Lu, Kaiwen Zheng, Fan Bao, Jianfei Chen, Chongxuan Li, Jun Zhu
2022	A*	`conf`	Maximum Likelihood Training for Score-based Diffusion ODEs by High Order Denoising Score Matching. ICML Cheng Lu, Kaiwen Zheng, Fan Bao, Jianfei Chen, Chongxuan Li, Jun Zhu
2022	J	`jnl`	Offline Reinforcement Learning via High-Fidelity Generative Behavior Modeling. CoRR Huayu Chen, Cheng Lu, Chengyang Ying, Hang Su, Jun Zhu
2021	A*	`conf`	Implicit Normalizing Flows. ICLR Cheng Lu, Jianfei Chen, Chongxuan Li, Qiuhao Wang, Jun Zhu
2021	J	`jnl`	Implicit Normalizing Flows. CoRR Cheng Lu, Jianfei Chen, Chongxuan Li, Qiuhao Wang, Jun Zhu
2020	A*	`conf`	VFlow: More Expressive Generative Flows with Variational Data Augmentation. ICML Jianfei Chen, Cheng Lu, Biqi Chenli, Jun Zhu, Tian Tian
2020	J	`jnl`	VFlow: More Expressive Generative Flows with Variational Data Augmentation. CoRR Jianfei Chen, Cheng Lu, Biqi Chenli, Jun Zhu, Tian Tian