Kaiwen Zheng

According to our database, Kaiwen Zheng authored at least 26 papers between 2022 and 2026.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2026

minWM: A Full-Stack Open-Source Framework for Real-Time Interactive Video World Models.

Min Zhao, Hongzhou Zhu, Bokai Yan, Zihan Zhou, Yimin Chen, Wenqiang Sun, Kaiwen Zheng, Guande He, Xiao Yang, Chongxuan Li, Fan Bao, Jun Zhu

CoRR, May, 2026

Causal Forcing++: Scalable Few-Step Autoregressive Diffusion Distillation for Real-Time Interactive Video Generation.

Min Zhao, Hongzhou Zhu, Kaiwen Zheng, Zihan Zhou, Bokai Yan, Xinyuan Li, Xiao Yang, Chongxuan Li, Jun Zhu

CoRR, May, 2026

SLA2: Sparse-Linear Attention with Learnable Routing and QAT.

Jintao Zhang, Haoxu Wang, Kai Jiang, Kaiwen Zheng, Youhe Jiang, Ion Stoica, Jianfei Chen, Jun Zhu, Joseph E. Gonzalez

CoRR, February, 2026

2025

Vidarc: Embodied Video Diffusion Model for Closed-loop Control.

Yao Feng, Chendong Xiang, Xinyi Mao, Hengkai Tan, Zuyue Zhang, Shuhe Huang, Kaiwen Zheng, Haitian Liu, Hang Su, Jun Zhu

CoRR, December, 2025

TurboDiffusion: Accelerating Video Diffusion Models by 100-200 Times.

Jintao Zhang, Kaiwen Zheng, Kai Jiang, Haoxu Wang, Ion Stoica, Joseph E. Gonzalez, Jianfei Chen, Jun Zhu

CoRR, December, 2025

Data-regularized Reinforcement Learning for Diffusion Models at Scale.

Haotian Ye, Kaiwen Zheng, Jiashu Xu, Puheng Li, Huayu Chen, Jiaqi Han, Sheng Liu, Qinsheng Zhang, Hanzi Mao, Zekun Hao, Prithvijit Chattopadhyay, Dinghao Yang, Liang Feng, Maosheng Liao, Junjie Bai, Ming-Yu Liu, James Zou, Stefano Ermon

CoRR, December, 2025

Large Scale Diffusion Distillation via Score-Regularized Continuous-Time Consistency.

Kaiwen Zheng, Yuji Wang, Qianli Ma, Huayu Chen, Jintao Zhang, Yogesh Balaji, Jianfei Chen, Ming-Yu Liu, Jun Zhu, Qinsheng Zhang

CoRR, October, 2025

VoiceBridge: Designing Latent Bridge Models for General Speech Restoration at Scale.

Chi Zhang, Zehua Chen, Kaiwen Zheng, Jun Zhu

CoRR, September, 2025

SLA: Beyond Sparsity in Diffusion Transformers via Fine-Tunable Sparse-Linear Attention.

Jintao Zhang, Haoxu Wang, Kai Jiang, Shuo Yang, Kaiwen Zheng, Haocheng Xi, Ziteng Wang, Hongzhou Zhu, Min Zhao, Ion Stoica, Joseph E. Gonzalez, Jun Zhu, Jianfei Chen

CoRR, September, 2025

DiffusionNFT: Online Diffusion Reinforcement with Forward Process.

Kaiwen Zheng, Huayu Chen, Haotian Ye, Haoxiang Wang, Qinsheng Zhang, Kai Jiang, Hang Su, Stefano Ermon, Jun Zhu, Ming-Yu Liu

CoRR, September, 2025

Bridging Supervised Learning and Reinforcement Learning in Math Reasoning.

Huayu Chen, Kaiwen Zheng, Qinsheng Zhang, Ganqu Cui, Yin Cui, Haotian Ye, Tsung-Yi Lin, Ming-Yu Liu, Jun Zhu, Haoxiang Wang

CoRR, May, 2025

Direct Discriminative Optimization: Your Likelihood-Based Visual Generative Model is Secretly a GAN Discriminator.

Kaiwen Zheng, Yongxin Chen, Huayu Chen, Guande He, Ming-Yu Liu, Jun Zhu, Qinsheng Zhang

Proceedings of the Forty-second International Conference on Machine Learning, 2025

Visual Generation Without Guidance.

Huayu Chen, Kai Jiang, Kaiwen Zheng, Jianfei Chen, Hang Su, Jun Zhu

Proceedings of the Forty-second International Conference on Machine Learning, 2025

Diffusion Bridge Implicit Models.

Kaiwen Zheng, Guande He, Jianfei Chen, Fan Bao, Jun Zhu

Proceedings of the Thirteenth International Conference on Learning Representations, 2025

Elucidating the Preconditioning in Consistency Distillation.

Kaiwen Zheng, Guande He, Jianfei Chen, Fan Bao, Jun Zhu

Proceedings of the Thirteenth International Conference on Learning Representations, 2025

Masked Diffusion Models are Secretly Time-Agnostic Masked Models and Exploit Inaccurate Categorical Sampling.

Kaiwen Zheng, Yongxin Chen, Hanzi Mao, Ming-Yu Liu, Jun Zhu, Qinsheng Zhang

Proceedings of the Thirteenth International Conference on Learning Representations, 2025

2024

Vidu: a Highly Consistent, Dynamic and Skilled Text-to-Video Generator with Diffusion Models.

Fan Bao, Chendong Xiang, Gang Yue, Guande He, Hongzhou Zhu, Kaiwen Zheng, Min Zhao, Shilong Liu, Yaole Wang, Jun Zhu

CoRR, 2024

Consistency Diffusion Bridge Models.

Guande He, Kaiwen Zheng, Jianfei Chen, Fan Bao, Jun Zhu

Proceedings of the Advances in Neural Information Processing Systems 37: Annual Conference on Neural Information Processing Systems 2024, 2024

Aligning Diffusion Behaviors with Q-functions for Efficient Continuous Control.

Huayu Chen, Kaiwen Zheng, Hang Su, Jun Zhu

Proceedings of the Advances in Neural Information Processing Systems 37: Annual Conference on Neural Information Processing Systems 2024, 2024

Identifying and Solving Conditional Image Leakage in Image-to-Video Diffusion Model.

Min Zhao, Hongzhou Zhu, Chendong Xiang, Kaiwen Zheng, Chongxuan Li, Jun Zhu

Proceedings of the Advances in Neural Information Processing Systems 37: Annual Conference on Neural Information Processing Systems 2024, 2024

InstructPix2NeRF: Instructed 3D Portrait Editing from a Single Image.

Jianhui Li, Shilong Liu, Zidong Liu, Yikai Wang, Kaiwen Zheng, Jinghui Xu, Jianmin Li, Jun Zhu

Proceedings of the Twelfth International Conference on Learning Representations, 2024

2023

Schrodinger Bridges Beat Diffusion Models on Text-to-Speech Synthesis.

Zehua Chen, Guande He, Kaiwen Zheng, Xu Tan, Jun Zhu

CoRR, 2023

DPM-Solver-v3: Improved Diffusion ODE Solver with Empirical Model Statistics.

Kaiwen Zheng, Cheng Lu, Jianfei Chen, Jun Zhu

Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

Improved Techniques for Maximum Likelihood Estimation for Diffusion ODEs.

Kaiwen Zheng, Cheng Lu, Jianfei Chen, Jun Zhu

Proceedings of the International Conference on Machine Learning, 2023

PREIM3D: 3D Consistent Precise Image Attribute Editing from a Single Image.

Jianhui Li, Jianmin Li, Haoji Zhang, Shilong Liu, Zhengyi Wang, Zihao Xiao, Kaiwen Zheng, Jun Zhu

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2023

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

Proceedings of the International Conference on Machine Learning, 2022