Xie, Yutong

21 publications

WACV 2025 A Novel Perspective for Multi-Modal Multi-Label Skin Lesion Classification Yuan Zhang, Yutong Xie, Hu Wang, Jodie C Avery, M Louise Hull, Gustavo Carneiro

NeurIPS 2025 Geometric Imbalance in Semi-Supervised Node Classification Liang Yan, Shengzhong Zhang, Bisheng Li, Menglin Yang, Chen Yang, Min Zhou, Weiyang Ding, Yutong Xie, Zengfeng Huang

NeurIPS 2025 NavBench: Probing Multimodal Large Language Models for Embodied Navigation Yanyuan Qiao, Haodong Hong, Wenqi Lyu, Dong An, Siqi Zhang, Yutong Xie, Xinyu Wang, Qi Wu

IJCAI 2025 Partial Label Clustering Yutong Xie, Fuchao Yang, Yuheng Jia

NeurIPS 2025 Position: Towards Bidirectional Human-AI Alignment Hua Shen, Tiffany Knearem, Reshmi Ghosh, Kenan Alkiek, Kundan Krishna, Yachuan Liu, Savvas Petridis, Yi-Hao Peng, Li Qiwei, Chenglei Si, Yutong Xie, Jeffrey P. Bigham, Frank Bentley, Joyce Chai, Zachary Chase Lipton, Qiaozhu Mei, Michael Terry, Diyi Yang, Meredith Ringel Morris, Paul Resnick, David Jurgens

ICCV 2025 Seeing the Trees for the Forest: Rethinking Weakly-Supervised Medical Visual Grounding Ta Duc Huy, Duy Anh Huynh, Yutong Xie, Yuankai Qi, Qi Chen, Phi Le Nguyen, Sen Kim Tran, Son Lam Phung, Anton van den Hengel, Zhibin Liao, Minh-Son To, Johan W. Verjans, Vu Minh Hieu Phan

CVPR 2024 CAPE: CAM as a Probabilistic Ensemble for Enhanced DNN Interpretation Townim Faisal Chowdhury, Kewen Liao, Vu Minh Hieu Phan, Minh-Son To, Yutong Xie, Kevin Hung, David Ross, Anton van den Hengel, Johan W. Verjans, Zhibin Liao

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 Decomposing Disease Descriptions for Enhanced Pathology Detection: A Multi-Aspect Vision-Language Pre-Training Framework Vu Minh Hieu Phan, Yutong Xie, Yuankai Qi, Lingqiao Liu, Liyang Liu, Bowen Zhang, Zhibin Liao, Qi Wu, Minh-Son To, Johan W. Verjans

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

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

ICLR 2023 How Much Space Has Been Explored? Measuring the Chemical Space Covered by Databases and Machine-Generated Molecules Yutong Xie, Ziqiao Xu, Jiaqi Ma, Qiaozhu Mei

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

NeurIPS 2023 Unsupervised Image Denoising with Score Function Yutong Xie, Mingze Yuan, Bin Dong, Quanzheng Li

ICMLW 2022 How Much of the Chemical Space Has Been Explored? Selecting the Right Exploration Measure for Drug Discovery Yutong Xie, Ziqiao Xu, Jiaqi Ma, Qiaozhu Mei

AAAI 2022 Multi-View Graph Representation for Programming Language Processing: An Investigation into Algorithm Detection Ting Long, Yutong Xie, Xianyu Chen, Weinan Zhang, Qinxiang Cao, Yong Yu

IJCAI 2022 Region-Aware Metric Learning for Open World Semantic Segmentation via Meta-Channel Aggregation Hexin Dong, Zifan Chen, Mingze Yuan, Yutong Xie, Jie Zhao, Fei Yu, Bin Dong, Li Zhang

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

ICLR 2021 MARS: Markov Molecular Sampling for Multi-Objective Drug Discovery Yutong Xie, Chence Shi, Hao Zhou, Yuwei Yang, Weinan Zhang, Yong Yu, Lei Li

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