Lu, Cheng

32 publications

ICLR 2025 Simplifying, Stabilizing and Scaling Continuous-Time Consistency Models Cheng Lu, Yang Song

AAAI 2024 Privileged Prior Information Distillation for Image Matting Cheng Lyu, Jiake Xie, Bo Xu, Cheng Lu, Han Huang, Xin Huang, Ming Wu, Chuang Zhang, Yong Tang

WACV 2024 SDNet: An Extremely Efficient Portrait Matting Model via Self-Distillation Ziwen Li, Bo Xu, Jiake Xie, Yong Tang, Cheng Lu

ICLR 2024 Score Regularized Policy Optimization Through Diffusion Behavior Huayu Chen, Cheng Lu, Zhengyi Wang, Hang Su, Jun Zhu

ICLR 2024 The Blessing of Randomness: SDE Beats ODE in General Diffusion-Based Image Editing Shen Nie, Hanzhong Allan Guo, Cheng Lu, Yuhao Zhou, Chenyu Zheng, Chongxuan Li

ICML 2024 Towards Efficient Exact Optimization of Language Model Alignment Haozhe Ji, Cheng Lu, Yilin Niu, Pei Ke, Hongning Wang, Jun Zhu, Jie Tang, Minlie Huang

AAAI 2023 CMNet: Contrastive Magnification Network for Micro-Expression Recognition Mengting Wei, Xingxun Jiang, Wenming Zheng, Yuan Zong, Cheng Lu, Jiateng Liu

ICML 2023 Contrastive Energy Prediction for Exact Energy-Guided Diffusion Sampling in Offline Reinforcement Learning Cheng Lu, Huayu Chen, Jianfei Chen, Hang Su, Chongxuan Li, Jun Zhu

NeurIPS 2023 DPM-Solver-V3: Improved Diffusion ODE Solver with Empirical Model Statistics Kaiwen Zheng, Cheng Lu, Jianfei Chen, Jun Zhu

AAAI 2023 Domain Adaptation with Adversarial Training on Penultimate Activations Tao Sun, Cheng Lu, Haibin Ling

NeurIPS 2023 Gaussian Mixture Solvers for Diffusion Models Hanzhong Guo, Cheng Lu, Fan Bao, Tianyu Pang, Shuicheng Yan, Chao Du, Chongxuan Li

ICML 2023 Improved Techniques for Maximum Likelihood Estimation for Diffusion ODEs Kaiwen Zheng, Cheng Lu, Jianfei Chen, Jun Zhu

ICCV 2023 Local Context-Aware Active Domain Adaptation Tao Sun, Cheng Lu, Haibin Ling

ICLR 2023 Offline Reinforcement Learning via High-Fidelity Generative Behavior Modeling Huayu Chen, Cheng Lu, Chengyang Ying, Hang Su, Jun Zhu

NeurIPS 2023 On Calibrating Diffusion Probabilistic Models Tianyu Pang, Cheng Lu, Chao Du, Min Lin, Shuicheng Yan, Zhijie Deng

NeurIPS 2023 ProlificDreamer: High-Fidelity and Diverse Text-to-3D Generation with Variational Score Distillation Zhengyi Wang, Cheng Lu, Yikai Wang, Fan Bao, Chongxuan Li, Hang Su, Jun Zhu

WACV 2023 Video Object Matting via Hierarchical Space-Time Semantic Guidance Yumeng Wang, Bo Xu, Ziwen Li, Han Huang, Cheng Lu, Yandong Guo

ECCV 2022 3DG-STFM: 3D Geometric Guided Student-Teacher Feature Matching Runyu Mao, Chen Bai, Yatong An, Fengqing Zhu, Cheng Lu

NeurIPS 2022 DPM-Solver: A Fast ODE Solver for Diffusion Probabilistic Model Sampling in Around 10 Steps Cheng Lu, Yuhao Zhou, Fan Bao, Jianfei Chen, Chongxuan Li, Jun Zhu

WACV 2022 Deep Two-Stream Video Inference for Human Body Pose and Shape Estimation Ziwen Li, Bo Xu, Han Huang, Cheng Lu, Yandong Guo

ICML 2022 Maximum Likelihood Training for Score-Based Diffusion ODEs by High Order Denoising Score Matching Cheng Lu, Kaiwen Zheng, Fan Bao, Jianfei Chen, Chongxuan Li, Jun Zhu

ECCV 2022 Prior Knowledge Guided Unsupervised Domain Adaptation Tao Sun, Cheng Lu, Haibin Ling

CVPR 2022 Safe Self-Refinement for Transformer-Based Domain Adaptation Tao Sun, Cheng Lu, Tianshuo Zhang, Haibin Ling

ICLR 2021 Implicit Normalizing Flows Cheng Lu, Jianfei Chen, Chongxuan Li, Qiuhao Wang, Jun Zhu

ICCV 2021 Virtual Multi-Modality Self-Supervised Foreground Matting for Human-Object Interaction Bo Xu, Han Huang, Cheng Lu, Ziwen Li, Yandong Guo

WACV 2020 Learning to Detect Head Movement in Unconstrained Remote Gaze Estimation in the Wild Zhecan Wang, Jian Zhao, Cheng Lu, Fan Yang, Han Huang, Lianji Li, Yandong Guo

ICML 2020 VFlow: More Expressive Generative Flows with Variational Data Augmentation Jianfei Chen, Cheng Lu, Biqi Chenli, Jun Zhu, Tian Tian

WACV 2020 Watch to Listen Clearly: Visual Speech Enhancement Driven Multi-Modality Speech Recognition Bo Xu, Jacob Wang, Cheng Lu, Yandong Guo

NeurIPS 2019 Staying up to Date with Online Content Changes Using Reinforcement Learning for Scheduling Andrey Kolobov, Yuval Peres, Cheng Lu, Eric J Horvitz

ICMLW 2019 Staying up to Date with Online Content Changes Using Reinforcement Learning for Scheduling Andrey Kolobov, Yuval Peres, Cheng Lu, Eric Horvitz

CVPR 2017 Model-Based Iterative Restoration for Binary Document Image Compression with Dictionary Learning Yandong Guo, Cheng Lu, Jan P. Allebach, Charles A. Bouman

ECCV 2004 Intrinsic Images by Entropy Minimization Graham D. Finlayson, Mark S. Drew, Cheng Lu