Shen, Jun

11 publications

ICCV 2025 FedDifRC: Unlocking the Potential of Text-to-Image Diffusion Models in Heterogeneous Federated Learning Huan Wang, Haoran Li, Huaming Chen, Jun Yan, Jiahua Shi, Jun Shen

NeurIPS 2025 InstructSAM: A Training-Free Framework for Instruction-Oriented Remote Sensing Object Recognition Yijie Zheng, Weijie Wu, Qingyun Li, Xuehui Wang, Xu Zhou, Aiai Ren, Jun Shen, Long Zhao, Guoqing Li, Xue Yang

ICLR 2025 Interpretable Bilingual Multimodal Large Language Model for Diverse Biomedical Tasks Lehan Wang, Haonan Wang, Honglong Yang, Jiaji Mao, Zehong Yang, Jun Shen, Xiaomeng Li

AAAI 2025 Vox-UDA: Voxel-Wise Unsupervised Domain Adaptation for Cryo-Electron Subtomogram Segmentation with Denoised Pseudo-Labeling Haoran Li, Xingjian Li, Jiahua Shi, Huaming Chen, Bo Du, Daisuke Kihara, Johan Barthélemy, Jun Shen, Min Xu

ECML-PKDD 2024 Boosting Patient Representation Learning via Graph Contrastive Learning Zhenhao Zhang, Yuxi Liu, Jiang Bian, Antonio Jimeno-Yepes, Jun Shen, Fuyi Li, Guodong Long, Flora D. Salim

ICML 2024 Iterative Search Attribution for Deep Neural Networks Zhiyu Zhu, Huaming Chen, Xinyi Wang, Jiayu Zhang, Zhibo Jin, Jason Xue, Jun Shen

NeurIPS 2024 Metric from Human: Zero-Shot Monocular Metric Depth Estimation via Test-Time Adaptation Yizhou Zhao, Hengwei Bian, Kaihua Chen, Pengliang Ji, Liao Qu, Shao-yu Lin, Weichen Yu, Haoran Li, Hao Chen, Jun Shen, Bhiksha Raj, Min Xu

ECML-PKDD 2023 Towards Minimising Perturbation Rate for Adversarial Machine Learning with Pruning Zhiyu Zhu, Jiayu Zhang, Zhibo Jin, Xinyi Wang, Minhui Xue, Jun Shen, Kim-Kwang Raymond Choo, Huaming Chen

ICML 2022 Expression Might Be Enough: Representing Pressure and Demand for Reinforcement Learning Based Traffic Signal Control Liang Zhang, Qiang Wu, Jun Shen, Linyuan Lü, Bo Du, Jianqing Wu

AAAI 2018 Splitting an LPMLN Program Bin Wang, Zhizheng Zhang, Hongxiang Xu, Jun Shen

ECCV 1990 Optimal Filter for Edge Detection Methods and Results Serge Castan, Jian Zhao, Jun Shen