| 2026 | ACL | Training-Free Test-Time Contrastive Learning for Large Language Models. | Kaiwen Zheng, Kai Zhou, Jinwu Hu, Te Gu, Mingkai Peng, Fei Liu |
| 2026 | ECIR | Are Multimodal Embeddings Truly Beneficial for Recommendation? A Deep Dive into Whole vs. Individual Modalities. | Yu Ye, Junchen Fu, Yu Song, Kaiwen Zheng, Joemon M. Jose |
| 2026 | NSDI | Cortex: Achieving Low-Latency, Cost-Efficient Remote Data Access For LLM via Semantic-Aware Knowledge Caching. | Chaoyi Ruan, Chao Bi, Kaiwen Zheng, Ziji Shi, Xinyi Wan, Jialin Li |
| 2025 | ICLR | 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 |
| 2025 | ICLR | Elucidating the Preconditioning in Consistency Distillation. | Kaiwen Zheng, Guande He, Jianfei Chen, Fan Bao, Jun Zhu |
| 2025 | ICLR | Diffusion Bridge Implicit Models. | Kaiwen Zheng, Guande He, Jianfei Chen, Fan Bao, Jun Zhu |
| 2025 | ICML | Visual Generation Without Guidance. | Huayu Chen, Kai Jiang, Kaiwen Zheng, Jianfei Chen, Hang Su, Jun Zhu |
| 2025 | ICML | Double-Filter: Efficient Fine-tuning of Pre-trained Vision-Language Models via Patch&Layer Filtering. | Yaoqin He, Junchen Fu, Kaiwen Zheng, Songpei Xu, Fuhai Chen, Jie Li, Joemon M. Jose, Xuri Ge |
| 2025 | ICML | 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 |
| 2025 | WWW | The DenseCap-Guided Attention Network For Image-Text Matching. | Xuri Ge, Linqing Li, Songpei Xu, Kaiwen Zheng, Yaoqin He, Junchen Fu, Joemon M. Jose |
| 2025 | WWW | Exploring Multimodal Pre-trained Models for Speech Emotion Recognition. | Zhiyu Liu, Junchen Fu, Kaiwen Zheng, Joemon M. Jose |
| 2024 | CVPR | Empowering Resampling Operation for Ultra-High-Definition Image Enhancement with Model-Aware Guidance. | Wei Yu, Jie Huang, Bing Li, Kaiwen Zheng, Qi Zhu, Man Zhou, Feng Zhao |
| 2024 | ICLR | 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 |
| 2024 | IJCNN | Advanced Image Analysis in Offshore Drilling Surveillance via Edge-Cloud Framework Leveraging Deep Reinforcement Learning. | Xiaofeng Ji, Faming Gong, Nuanlai Wang, Chengze Du, Kaiwen Zheng |
| 2023 | CVPR | Learning Sample Relationship for Exposure Correction. | Jie Huang, Feng Zhao, Man Zhou, Jie Xiao, Naishan Zheng, Kaiwen Zheng, Zhiwei Xiong |
| 2023 | CVPR | 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 |
| 2023 | CVPR | Efficient Multi-exposure Image Fusion via Filter-dominated Fusion and Gradient-driven Unsupervised Learning. | Kaiwen Zheng, Jie Huang, Hu Yu, Feng Zhao |
| 2023 | CVPR | Asymmetric Color Transfer with Consistent Modality Learning. | Kaiwen Zheng, Jie Huang, Man Zhou, Feng Zhao |
| 2023 | ICML | Improved Techniques for Maximum Likelihood Estimation for Diffusion ODEs. | Kaiwen Zheng, Cheng Lu, Jianfei Chen, Jun Zhu |
| 2023 | INFOCOM | Recovering Packet Collisions below the Noise Floor in Multi-gateway LoRa Networks. | Wenliang Mao, Zhiwei Zhao, Kaiwen Zheng, Geyong Min |
| 2022 | ICML | 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 |