Xia, Yong

17 publications

ICML 2025 Best Subset Selection: Optimal Pursuit for Feature Selection and Elimination Zhihan Zhu, Yanhao Zhang, Yong Xia

AAAI 2025 Gradient Alignment Improves Test-Time Adaptation for Medical Image Segmentation Ziyang Chen, Yiwen Ye, Yongsheng Pan, Yong Xia

NeurIPS 2024 Block Sparse Bayesian Learning: A Diversified Scheme Yanhao Zhang, Zhihan Zhu, Yong Xia

CVPR 2024 Continual Self-Supervised Learning: Towards Universal Multi-Modal Medical Data Representation Learning Yiwen Ye, Yutong Xie, Jianpeng Zhang, Ziyang Chen, Qi Wu, Yong Xia

CVPR 2024 Each Test Image Deserves a Specific Prompt: Continual Test-Time Adaptation for 2D Medical Image Segmentation Ziyang Chen, Yongsheng Pan, Yiwen Ye, Mengkang Lu, Yong Xia

AAAI 2024 Local-Global Multi-Modal Distillation for Weakly-Supervised Temporal Video Grounding Peijun Bao, Yong Xia, Wenhan Yang, Boon Poh Ng, Meng Hwa Er, Alex C. Kot

CVPR 2024 PairAug: What Can Augmented Image-Text Pairs Do for Radiology? Yutong Xie, Qi Chen, Sinuo Wang, Minh-Son To, Iris Lee, Ee Win Khoo, Kerolos Hendy, Daniel Koh, Yong Xia, Qi Wu

AAAI 2024 SurgicalSAM: Efficient Class Promptable Surgical Instrument Segmentation Wenxi Yue, Jing Zhang, Kun Hu, Yong Xia, Jiebo Luo, Zhiyong Wang

CVPR 2024 Think Twice Before Selection: Federated Evidential Active Learning for Medical Image Analysis with Domain Shifts Jiayi Chen, Benteng Ma, Hengfei Cui, Yong Xia

NeurIPS 2024 Touchstone Benchmark: Are We on the Right Way for Evaluating AI Algorithms for Medical Segmentation? Pedro R. A. S. Bassi, Wenxuan Li, Yucheng Tang, Fabian Isensee, Zifu Wang, Jieneng Chen, Yu-Cheng Chou, Saikat Roy, Yannick Kirchhoff, Maximilian Rokuss, Ziyan Huang, Jin Ye, Junjun He, Tassilo Wald, Constantin Ulrich, Michael Baumgartner, Klaus H. Maier-Hein, Paul Jaeger, Yiwen Ye, Yutong Xie, Jianpeng Zhang, Ziyang Chen, Yong Xia, Zhaohu Xing, Lei Zhu, Yousef Sadegheih, Afshin Bozorgpour, Pratibha Kumari, Reza Azad, Dorit Merhof, Pengcheng Shi, Ting Ma, Yuxin Du, Fan Bai, Tiejun Huang, Bo Zhao, Haonan Wang, Xiaomeng Li, Hanxue Gu, Haoyu Dong, Jichen Yang, Maciej A. Mazurowski, Saumya Gupta, Linshan Wu, Jiaxin Zhuang, Hao Chen, Holger Roth, Daguang Xu, Matthew B. Blaschko, Sergio Decherchi, Andrea Cavalli, Alan L. Yuille, Zongwei Zhou

CVPR 2023 PEFAT: Boosting Semi-Supervised Medical Image Classification via Pseudo-Loss Estimation and Feature Adversarial Training Qingjie Zeng, Yutong Xie, Zilin Lu, Yong Xia

CVPR 2022 FIBA: Frequency-Injection Based Backdoor Attack in Medical Image Analysis Yu Feng, Benteng Ma, Jing Zhang, Shanshan Zhao, Yong Xia, Dacheng Tao

ECCV 2022 UniMiSS: Universal Medical Self-Supervised Learning via Breaking Dimensionality Barrier Yutong Xie, Jianpeng Zhang, Yong Xia, Qi Wu

CVPR 2021 DoDNet: Learning to Segment Multi-Organ and Tumors from Multiple Partially Labeled Datasets Jianpeng Zhang, Yutong Xie, Yong Xia, Chunhua Shen

NeurIPS 2020 Auto Learning Attention Benteng Ma, Jing Zhang, Yong Xia, Dacheng Tao

IJCAI 2019 Light-Weight Hybrid Convolutional Network for Liver Tumor Segmentation Jianpeng Zhang, Yutong Xie, Pingping Zhang, Hao Chen, Yong Xia, Chunhua Shen

CVPR 2015 Robust Saliency Detection via Regularized Random Walks Ranking Changyang Li, Yuchen Yuan, Weidong Cai, Yong Xia, David Dagan Feng