Li, Jingtao

13 publications

CVPR 2025 Argus: A Compact and Versatile Foundation Model for Vision Weiming Zhuang, Chen Chen, Zhizhong Li, Sina Sajadmanesh, Jingtao Li, Jiabo Huang, Vikash Sehwag, Vivek Sharma, Hirotaka Shinozaki, Felan Carlo Garcia, Yihao Zhan, Naohiro Adachi, Ryoji Eki, Michael Spranger, Peter Stone, Lingjuan Lyu
ICML 2025 Enhancing Foundation Models with Federated Domain Knowledge Infusion Jiaqi Wang, Jingtao Li, Weiming Zhuang, Chen Chen, Lingjuan Lyu, Fenglong Ma
CVPR 2025 HyperFree: A Channel-Adaptive and Tuning-Free Foundation Model for Hyperspectral Remote Sensing Imagery Jingtao Li, Yingyi Liu, Xinyu Wang, Yunning Peng, Chen Sun, Shaoyu Wang, Zhendong Sun, Tian Ke, Xiao Jiang, Tangwei Lu, Anran Zhao, Yanfei Zhong
ICCV 2025 MixA: A Mixed Attention Approach with Stable Lightweight Linear Attention to Enhance Efficiency of Vision Transformers at the Edge Sabbir Ahmed, Jingtao Li, Weiming Zhuang, Chen Chen, Lingjuan Lyu
NeurIPS 2025 StelLA: Subspace Learning in Low-Rank Adaptation Using Stiefel Manifold Zhizhong Li, Sina Sajadmanesh, Jingtao Li, Lingjuan Lyu
CVPR 2025 Stretching Each Dollar: Diffusion Training from Scratch on a Micro-Budget Vikash Sehwag, Xianghao Kong, Jingtao Li, Michael Spranger, Lingjuan Lyu
ICML 2024 COALA: A Practical and Vision-Centric Federated Learning Platform Weiming Zhuang, Jian Xu, Chen Chen, Jingtao Li, Lingjuan Lyu
AAAI 2024 EMGAN: Early-Mix-GAN on Extracting Server-Side Model in Split Federated Learning Jingtao Li, Xing Chen, Li Yang, Adnan Siraj Rakin, Deliang Fan, Chaitali Chakrabarti
AAAI 2023 Anomaly Segmentation for High-Resolution Remote Sensing Images Based on Pixel Descriptors Jingtao Li, Xinyu Wang, Hengwei Zhao, Shaoyu Wang, Yanfei Zhong
ICCV 2023 Class Prior-Free Positive-Unlabeled Learning with Taylor Variational Loss for Hyperspectral Remote Sensing Imagery Hengwei Zhao, Xinyu Wang, Jingtao Li, Yanfei Zhong
ICLR 2023 MocoSFL: Enabling Cross-Client Collaborative Self-Supervised Learning Jingtao Li, Lingjuan Lyu, Daisuke Iso, Chaitali Chakrabarti, Michael Spranger
NeurIPSW 2022 MocoSFL: Enabling Cross-Client Collaborative Self-Supervised Learning Jingtao Li, Lingjuan Lyu, Daisuke Iso, Chaitali Chakrabarti, Michael Spranger
CVPR 2022 ResSFL: A Resistance Transfer Framework for Defending Model Inversion Attack in Split Federated Learning Jingtao Li, Adnan Siraj Rakin, Xing Chen, Zhezhi He, Deliang Fan, Chaitali Chakrabarti