Jiang, Kai

11 publications

ICLR 2026 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

ICLR 2026 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, Jianfei Chen, Jun Zhu

AAAI 2025 DiffCLIP: Few-Shot Language-Driven Multimodal Classifier Jiaqing Zhang, Mingxiang Cao, Xue Yang, Kai Jiang, Yunsong Li

NeurIPS 2025 Mixture of Noise for Pre-Trained Model-Based Class-Incremental Learning Kai Jiang, Zhengyan Shi, Dell Zhang, Hongyuan Zhang, Xuelong Li

NeurIPS 2025 SageAttention3: Microscaling FP4 Attention for Inference and an Exploration of 8-Bit Training Jintao Zhang, Jia Wei, Haoxu Wang, Pengle Zhang, Xiaoming Xu, Haofeng Huang, Kai Jiang, Jianfei Chen, Jun Zhu

ICML 2025 Visual Generation Without Guidance Huayu Chen, Kai Jiang, Kaiwen Zheng, Jianfei Chen, Hang Su, Jun Zhu

ECCV 2024 DA-BEV: Unsupervised Domain Adaptation for Bird's Eye View Perception Kai Jiang, Jiaxing Huang, Weiying Xie, Jie Lei, Yunsong Li, Ling Shao, Shijian Lu

NeurIPS 2024 Domain Adaptation for Large-Vocabulary Object Detectors Kai Jiang, Jiaxing Huang, Weiying Xie, Jie Lei, Yunsong Li, Ling Shao, Shijian Lu

NeurIPS 2024 Open-Vocabulary Object Detection via Language Hierarchy Jiaxing Huang, Jingyi Zhang, Kai Jiang, Shijian Lu

CVPR 2023 Toward Stable, Interpretable, and Lightweight Hyperspectral Super-Resolution Wen-jin Guo, Weiying Xie, Kai Jiang, Yunsong Li, Jie Lei, Leyuan Fang

AAAI 2021 LREN: Low-Rank Embedded Network for Sample-Free Hyperspectral Anomaly Detection Kai Jiang, Weiying Xie, Jie Lei, Tao Jiang, Yunsong Li