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ORCIDCheng Lu 0011
Person information
- affiliation: Tsinghua University, China
Other persons with the same name
- Cheng Lu — disambiguation page
- Cheng Lu 0001
![[0000-0002-7651-3924]](https://dblp.uni-trier.de/img/orcid-mark.12x12.png "0000-0002-7651-3924")
— Southern Medical University, Guangzhou, China (and 1 more) - Cheng Lu 0002 — Northwestern Polytechnical University, School of Aeronautics, Xi'an, China
- Cheng Lu 0003 — Nantong University, College of Electrical Engineering, Nantong, China
- Cheng Lu 0004 — Qingdao University of Technology, School of Management Engineering, Qingdao, China
- Cheng Lu 0005 — Southeast University, Key Laboratory of Child Development and Learning Science, Nanjing, China
- Cheng Lu 0006 — XPENG Motors, Guangzhou, China
- Cheng Lu 0007 — North China Electric Power University, School of Economics and Management, Beijing, China
- Cheng Lu 0008 — China Academy of Chinese Medical Sciences, Institute of Basic Research in Clinical Medicine, Beijing, China
- Cheng Lu 0009 — Micron Technology, Inc., San Jose, CA, USA
- Cheng Lu 0010 — Hohai University, Changzhou, China (and 1 more)
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2020 – today
- 2024
[c14]Huayu Chen, Cheng Lu, Zhengyi Wang, Hang Su, Jun Zhu:
Score Regularized Policy Optimization through Diffusion Behavior. ICLR 2024- [c13]Shen Nie, Hanzhong Allan Guo, Cheng Lu, Yuhao Zhou, Chenyu Zheng, Chongxuan Li:
The Blessing of Randomness: SDE Beats ODE in General Diffusion-based Image Editing. ICLR 2024 - [c12]Haozhe Ji, Cheng Lu, Yilin Niu, Pei Ke, Hongning Wang, Jun Zhu, Jie Tang, Minlie Huang:
Towards Efficient Exact Optimization of Language Model Alignment. ICML 2024 - [i15]Haozhe Ji, Cheng Lu, Yilin Niu, Pei Ke, Hongning Wang, Jun Zhu, Jie Tang, Minlie Huang:
Towards Efficient and Exact Optimization of Language Model Alignment. CoRR abs/2402.00856 (2024) - 2023
- [c11]Huayu Chen, Cheng Lu, Chengyang Ying, Hang Su, Jun Zhu:
Offline Reinforcement Learning via High-Fidelity Generative Behavior Modeling. ICLR 2023 - [c10]Cheng Lu, Huayu Chen, Jianfei Chen, Hang Su, Chongxuan Li, Jun Zhu:
Contrastive Energy Prediction for Exact Energy-Guided Diffusion Sampling in Offline Reinforcement Learning. ICML 2023: 22825-22855 - [c9]Kaiwen Zheng, Cheng Lu, Jianfei Chen, Jun Zhu:
Improved Techniques for Maximum Likelihood Estimation for Diffusion ODEs. ICML 2023: 42363-42389 - [c8]Hanzhong Guo, Cheng Lu, Fan Bao, Tianyu Pang, Shuicheng Yan, Chao Du, Chongxuan Li:
Gaussian Mixture Solvers for Diffusion Models. NeurIPS 2023 - [c7]Tianyu Pang, Cheng Lu, Chao Du, Min Lin, Shuicheng Yan, Zhijie Deng:
On Calibrating Diffusion Probabilistic Models. NeurIPS 2023 - [c6]Zhengyi Wang, Cheng Lu, Yikai Wang, Fan Bao, Chongxuan Li, Hang Su, Jun Zhu:
ProlificDreamer: High-Fidelity and Diverse Text-to-3D Generation with Variational Score Distillation. NeurIPS 2023 - [c5]Kaiwen Zheng, Cheng Lu, Jianfei Chen, Jun Zhu:
DPM-Solver-v3: Improved Diffusion ODE Solver with Empirical Model Statistics. NeurIPS 2023 - [i14]Tianyu Pang, Cheng Lu, Chao Du, Min Lin, Shuicheng Yan, Zhijie Deng:
On Calibrating Diffusion Probabilistic Models. CoRR abs/2302.10688 (2023) - [i13]Cheng Lu, Huayu Chen, Jianfei Chen, Hang Su, Chongxuan Li, Jun Zhu:
Contrastive Energy Prediction for Exact Energy-Guided Diffusion Sampling in Offline Reinforcement Learning. CoRR abs/2304.12824 (2023) - [i12]Kaiwen Zheng, Cheng Lu, Jianfei Chen, Jun Zhu:
Improved Techniques for Maximum Likelihood Estimation for Diffusion ODEs. CoRR abs/2305.03935 (2023) - [i11]Zhengyi Wang, Cheng Lu, Yikai Wang, Fan Bao, Chongxuan Li, Hang Su, Jun Zhu:
ProlificDreamer: High-Fidelity and Diverse Text-to-3D Generation with Variational Score Distillation. CoRR abs/2305.16213 (2023) - [i10]Huayu Chen, Cheng Lu, Zhengyi Wang, Hang Su, Jun Zhu:
Score Regularized Policy Optimization through Diffusion Behavior. CoRR abs/2310.07297 (2023) - [i9]Kaiwen Zheng, Cheng Lu, Jianfei Chen, Jun Zhu:
DPM-Solver-v3: Improved Diffusion ODE Solver with Empirical Model Statistics. CoRR abs/2310.13268 (2023) - [i8]Hanzhong Guo, Cheng Lu, Fan Bao, Tianyu Pang, Shuicheng Yan, Chao Du, Chongxuan Li:
Gaussian Mixture Solvers for Diffusion Models. CoRR abs/2311.00941 (2023) - [i7]Shen Nie, Hanzhong Allan Guo, Cheng Lu, Yuhao Zhou, Chenyu Zheng, Chongxuan Li:
The Blessing of Randomness: SDE Beats ODE in General Diffusion-based Image Editing. CoRR abs/2311.01410 (2023) - 2022
- [c4]Cheng Lu, Kaiwen Zheng, Fan Bao, Jianfei Chen, Chongxuan Li, Jun Zhu:
Maximum Likelihood Training for Score-based Diffusion ODEs by High Order Denoising Score Matching. ICML 2022: 14429-14460 - [c3]Cheng Lu, Yuhao Zhou, Fan Bao, Jianfei Chen, Chongxuan Li, Jun Zhu:
DPM-Solver: A Fast ODE Solver for Diffusion Probabilistic Model Sampling in Around 10 Steps. NeurIPS 2022 - [i6]Cheng Lu, Yuhao Zhou, Fan Bao, Jianfei Chen, Chongxuan Li, Jun Zhu:
DPM-Solver: A Fast ODE Solver for Diffusion Probabilistic Model Sampling in Around 10 Steps. CoRR abs/2206.00927 (2022) - [i5]Cheng Lu, Kaiwen Zheng, Fan Bao, Jianfei Chen, Chongxuan Li, Jun Zhu:
Maximum Likelihood Training for Score-Based Diffusion ODEs by High-Order Denoising Score Matching. CoRR abs/2206.08265 (2022) - [i4]Huayu Chen, Cheng Lu, Chengyang Ying, Hang Su, Jun Zhu:
Offline Reinforcement Learning via High-Fidelity Generative Behavior Modeling. CoRR abs/2209.14548 (2022) - [i3]Cheng Lu, Yuhao Zhou, Fan Bao, Jianfei Chen, Chongxuan Li, Jun Zhu:
DPM-Solver++: Fast Solver for Guided Sampling of Diffusion Probabilistic Models. CoRR abs/2211.01095 (2022) - 2021
- [c2]Cheng Lu, Jianfei Chen, Chongxuan Li, Qiuhao Wang, Jun Zhu:
Implicit Normalizing Flows. ICLR 2021 - [i2]Cheng Lu, Jianfei Chen, Chongxuan Li, Qiuhao Wang, Jun Zhu:
Implicit Normalizing Flows. CoRR abs/2103.09527 (2021) - 2020
- [c1]Jianfei Chen, Cheng Lu, Biqi Chenli, Jun Zhu, Tian Tian:
VFlow: More Expressive Generative Flows with Variational Data Augmentation. ICML 2020: 1660-1669 - [i1]Jianfei Chen, Cheng Lu, Biqi Chenli, Jun Zhu, Tian Tian:
VFlow: More Expressive Generative Flows with Variational Data Augmentation. CoRR abs/2002.09741 (2020)
Coauthor Index
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