| 2026 | ACL | TAGS: A Test-Time Generalist-Specialist Framework with Retrieval-Augmented Reasoning and Verification. | Jianghao Wu, Feilong Tang, Yulong Li, Ming Hu, Haochen Xue, Shoaib Jameel, Zongyuan Ge, Yutong Xie, Imran Razzak |
| 2026 | ACL | MMCLIP: Cross-Modal Attention Masked Modelling for Medical Language-Image Pre-Training. | Biao Wu, Yutong Xie, Zeyu Zhang, Vu Minh Hieu Phan, Qi Chen, Ling Chen, Qi Wu |
| 2026 | HCI | Enabling Technology Engagement for People with Cognitive Impairment: A Scoping Review. | Elton H. Lobo, Victoria Chen, Yanyun Pan, Yutong Xie, Hana Zhao, Nadeeka Dissanayaka |
| 2025 | ACL | MMRC: A Large-Scale Benchmark for Understanding Multimodal Large Language Model in Real-World Conversation. | Haochen Xue, Feilong Tang, Ming Hu, Yexin Liu, Qidong Huang, Yulong Li, Chengzhi Liu, Zhongxing Xu, Chong Zhang, Chun-Mei Feng, Yutong Xie, Imran Razzak, Zongyuan Ge, Jionglong Su, Junjun He, Yu Qiao |
| 2025 | APWEB | ASFRA-DP: Learning-Based Federated Spatial Query Processing with Density-Aware Privacy. | Yutong Xie, Qingzhi Ma, Wei Chen, An Liu, Lei Zhao |
| 2025 | CIKM | Federated Approximate Query Processing Based on Deep Models. | Yutong Xie, Qingzhi Ma, Lei Zhao, An Liu |
| 2025 | DICTA | MoE-Enhanced-TTT: Advancing Medical Image Segmentation. | Yuming Chen, Qi Wu, Yutong Xie |
| 2025 | DICTA | X-Gen: Enhancing Radiology Report Generation via LLM-Driven Data Augmentation and Decoupled Training. | Chaohan Wang, Qi Chen, Minh-Son To, Numan Kutaiba, Jae-Gon Yoo, Yutong Xie, Qi Wu |
| 2025 | DICTA | Filling in the Missing Piece: Advancing Automated Radiology Report Generation with Clinical Insights. | Chaohan Wang, Qi Chen, Yutong Xie, Qi Wu |
| 2025 | EMNLP | A Knowledge-driven Adaptive Collaboration of LLMs for Enhancing Medical Decision-making. | Xiao Wu, Ting-Zhu Huang, Liang-Jian Deng, Yanyuan Qiao, Imran Razzak, Yutong Xie |
| 2025 | ICCAD | Automated Design Space Exploration in High-Level Physical Synthesis. | Linfeng Du, Jiawei Liang, Jason Lau, Yuze Chi, Yutong Xie, Chunyou Su, Afzal Ahmad, Zifan He, Jake Ke, Jinming Ge, Jason Cong, Wei Zhang, Licheng Guo |
| 2025 | ICCV | CrossGAP: Unified Face Anti-Spoofing via Cross-Modal Global-Aware Prompting. | Xihong Chen, Yutong Xie, Hui Ma, Ning Li, Yanyan Liang, Jiabao Guo |
| 2025 | ICCV | 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 |
| 2025 | ICPADS | False Data Injection Attack Detection in Smart Grids Using Graphormer and LSTM Networks. | Zhuoqun Xia, Ze Su, Jingjing Tan, Han Qiu, Yutong Xie |
| 2025 | IJCAI | Partial Label Clustering. | Yutong Xie, Fuchao Yang, Yuheng Jia |
| 2025 | KDD | MapExplorer: New Content Generation from Low-Dimensional Visualizations. | Xingjian Zhang, Ziyang Xiong, Shixuan Liu, Yutong Xie, Tolga Ergen, Dongsub Shim, Hua Xu, Honglak Lee, Qiaozhu Mei |
| 2025 | MICCAI | MedMask: A Self-supervised Vision Foundation Model for Breast Cancer Detection Using Mammograms. | Tajamul Ashraf, Suhaib Salmani, Mohammed Mohsen Peerzada, Ufaq Khan, Yutong Xie, Janibul Bashir |
| 2025 | MICCAI | Stain-Aware Augmentation and Hybrid Loss for Domain-Generalized Atypical Mitosis Classification. | Adinath Madhavrao Dukre, Ankan Deria, Yutong Xie, Imran Razzak |
| 2025 | MICCAI | PedCLIP: A Vision-Language Model for Pediatric X-Rays with Mixture of Body Part Experts. | Ta Duc Huy, Abin Shoby, Sen Kim Tran, Yutong Xie, Qi Chen, Phi Le Nguyen, Akshay Gole, Lingqiao Liu, Antonios Perperidis, Mark Friswell, Rebecca Linke, Andrea Glynn, Minh-Son To, Anton van den Hengel, Johan Verjans, Zhibin Liao, Minh Hieu Phan |
| 2025 | NAACL | MASSW: A New Dataset and Benchmark Tasks for AI-Assisted Scientific Workflows. | Xingjian Zhang, Yutong Xie, Jin Huang, Jinge Ma, Zhaoying Pan, Qijia Liu, Ziyang Xiong, Tolga Ergen, Dongsub Shim, Honglak Lee, Qiaozhu Mei |
| 2025 | SMC | Electricity Theft Detection Method Based on Semi-Supervised Domain Adaptation with Minimax Entropy. | Zhuoqun Xia, Han Qiu, Jingjing Tan, Ze Su, Yutong Xie |
| 2025 | WACV | 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 |
| 2025 | SecureComm | Dynamic Dual-Anonymous Lightweight Certificateless Authentication Protocol for Social IoT-Assisted V2G. | Zhuoqun Xia, Xin Wang, Yutong Xie |
| 2024 | ACCV | Act Like a Radiologist: Radiology Report Generation Across Anatomical Regions. | Qi Chen, Yutong Xie, Biao Wu, Xiaomin Chen, James Ang, Minh-Son To, Xiaojun Chang, Qi Wu |
| 2024 | CVPR | 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 |
| 2024 | CVPR | 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 |
| 2024 | CVPR | 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 |
| 2024 | CVPR | Continual Self-Supervised Learning: Towards Universal Multi-Modal Medical Data Representation Learning. | Yiwen Ye, Yutong Xie, Jianpeng Zhang, Ziyang Chen, Qi Wu, Yong Xia |
| 2024 | ICCAD | RapidStream IR: Infrastructure for FPGA High-Level Physical Synthesis. | Jason Lau, Yuanlong Xiao, Yutong Xie, Yuze Chi, Linghao Song, Shaojie Xiang, Michael Lo, Zhiru Zhang, Jason Cong, Licheng Guo |
| 2024 | KDD | The First Workshop on AI Behavioral Science. | Himabindu Lakkaraju, Qiaozhu Mei, Chenhao Tan, Jie Tang, Yutong Xie |
| 2024 | MICCAI | AdaCBM: An Adaptive Concept Bottleneck Model for Explainable and Accurate Diagnosis. | Townim F. Chowdhury, Vu Minh Hieu Phan, Kewen Liao, Minh-Son To, Yutong Xie, Anton van den Hengel, Johan W. Verjans, Zhibin Liao |
| 2024 | MICCAI | Spot the Difference: Difference Visual Question Answering with Residual Alignment. | Zilin Lu, Yutong Xie, Qingjie Zeng, Mengkang Lu, Qi Wu, Yong Xia |
| 2024 | MICCAI | Structural Attention: Rethinking Transformer for Unpaired Medical Image Synthesis. | Vu Minh Hieu Phan, Yutong Xie, Bowen Zhang, Yuankai Qi, Zhibin Liao, Antonios Perperidis, Son Lam Phung, Johan W. Verjans, Minh-Son To |
| 2024 | MICCAI | Reciprocal Collaboration for Semi-supervised Medical Image Classification. | Qingjie Zeng, Zilin Lu, Yutong Xie, Mengkang Lu, Xinke Ma, Yong Xia |
| 2023 | CVPR | PEFAT: Boosting Semi-Supervised Medical Image Classification via Pseudo-Loss Estimation and Feature Adversarial Training. | Qingjie Zeng, Yutong Xie, Zilin Lu, Yong Xia |
| 2023 | ICLR | 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 |
| 2023 | MICCAI | Unpaired Cross-Modal Interaction Learning for COVID-19 Segmentation on Limited CT Images. | Qingbiao Guan, Yutong Xie, Bing Yang, Jianpeng Zhang, Zhibin Liao, Qi Wu, Yong Xia |
| 2023 | MICCAI | Transformer-Based Annotation Bias-Aware Medical Image Segmentation. | Zehui Liao, Shishuai Hu, Yutong Xie, Yong Xia |
| 2023 | MICCAI | MedIM: Boost Medical Image Representation via Radiology Report-Guided Masking. | Yutong Xie, Lin Gu, Tatsuya Harada, Jianpeng Zhang, Yong Xia, Qi Wu |
| 2023 | MICCAI | UniSeg: A Prompt-Driven Universal Segmentation Model as Well as A Strong Representation Learner. | Yiwen Ye, Yutong Xie, Jianpeng Zhang, Ziyang Chen, Yong Xia |
| 2023 | MICCAI | PLMVQA: Applying Pseudo Labels for Medical Visual Question Answering with Limited Data. | Zheng Yu, Yutong Xie, Yong Xia, Qi Wu |
| 2023 | MICCAI | Improved Flexibility and Interpretability of Large Vessel Stroke Prognostication Using Image Synthesis and Multi-task Learning. | Minyan Zeng, Yutong Xie, Minh-Son To, Lauren Oakden-Rayner, Luke Whitbread, Stephen Bacchi, Alix Bird, Luke Smith, Rebecca Scroop, Timothy Kleinig, Jim Jannes, Lyle John Palmer, Mark Jenkinson |
| 2023 | MICCAI | TPRO: Text-Prompting-Based Weakly Supervised Histopathology Tissue Segmentation. | Shaoteng Zhang, Jianpeng Zhang, Yutong Xie, Yong Xia |
| 2023 | WWW | A Prompt Log Analysis of Text-to-Image Generation Systems. | Yutong Xie, Zhaoying Pan, Jinge Ma, Luo Jie, Qiaozhu Mei |
| 2022 | AAAI | 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 |
| 2022 | ECCV | UniMiSS: Universal Medical Self-supervised Learning via Breaking Dimensionality Barrier. | Yutong Xie, Jianpeng Zhang, Yong Xia, Qi Wu |
| 2022 | IJCAI | 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 |
| 2022 | MICCAI | PET Denoising and Uncertainty Estimation Based on NVAE Model Using Quantile Regression Loss. | Jianan Cui, Yutong Xie, Anand A. Joshi, Kuang Gong, Kyung Sang Kim, Young-Don Son, Jong Hoon Kim, Richard M. Leahy, Huafeng Liu, Quanzheng Li |
| 2022 | MICCAI | Measurement-Conditioned Denoising Diffusion Probabilistic Model for Under-Sampled Medical Image Reconstruction. | Yutong Xie, Quanzheng Li |
| 2021 | CVPR | DoDNet: Learning To Segment Multi-Organ and Tumors From Multiple Partially Labeled Datasets. | Jianpeng Zhang, Yutong Xie, Yong Xia, Chunhua Shen |
| 2021 | ICLR | MARS: Markov Molecular Sampling for Multi-objective Drug Discovery. | Yutong Xie, Chence Shi, Hao Zhou, Yuwei Yang, Weinan Zhang, Yong Yu, Lei Li |
| 2021 | MICCAI | CoTr: Efficiently Bridging CNN and Transformer for 3D Medical Image Segmentation. | Yutong Xie, Jianpeng Zhang, Chunhua Shen, Yong Xia |
| 2021 | RecSys | GReS: Workshop on Graph Neural Networks for Recommendation and Search. | Thibaut Thonet, Stphane Clinchant, Carlos Lassance, Elvin Isufi, Jiaqi Ma, Yutong Xie, Jean-Michel Renders, Michael M. Bronstein |
| 2020 | MICCAI | Pairwise Relation Learning for Semi-supervised Gland Segmentation. | Yutong Xie, Jianpeng Zhang, Zhibin Liao, Johan Verjans, Chunhua Shen, Yong Xia |
| 2020 | MICCAI | EfficientSeg: A Simple But Efficient Solution to Myocardial Pathology Segmentation Challenge. | Jianpeng Zhang, Yutong Xie, Zhibin Liao, Johan Verjans, Yong Xia |
| 2020 | WCNC | Optimization-driven Hierarchical Deep Reinforcement Learning for Hybrid Relaying Communications. | Yuze Zou, Yutong Xie, Canhui Zhang, Shimin Gong, Dinh Thai Hoang, Dusit Niyato |
| 2019 | GLOBECOM | Backscatter-Assisted Hybrid Relaying Strategy for Wireless Powered IoT Communications. | Yutong Xie, Zhengzhuo Xu, Shimin Gong, Jing Xu, Dinh Thai Hoang, Dusit Niyato |
| 2019 | IJCAI | Light-Weight Hybrid Convolutional Network for Liver Tumor Segmentation. | Jianpeng Zhang, Yutong Xie, Pingping Zhang, Hao Chen, Yong Xia, Chunhua Shen |
| 2019 | MICCAI | Deep Segmentation-Emendation Model for Gland Instance Segmentation. | Yutong Xie, Hao Lu, Jianpeng Zhang, Chunhua Shen, Yong Xia |
| 2019 | MICCAI | A Pulmonary Nodule Detection Method Based on Residual Learning and Dense Connection. | Feng Zhang, Yutong Xie, Yong Xia, Yanning Zhang |
| 2019 | MVA | Visual Rhythm Prediction with Feature-Aligning Network. | Yutong Xie, Haiyang Wang, Yan Hao, Zihao Xu |
| 2018 | MICCAI | Skin Lesion Classification in Dermoscopy Images Using Synergic Deep Learning. | Jianpeng Zhang, Yutong Xie, Qi Wu, Yong Xia |
| 2017 | MICCAI | Transferable Multi-model Ensemble for Benign-Malignant Lung Nodule Classification on Chest CT. | Yutong Xie, Yong Xia, Jianpeng Zhang, David Dagan Feng, Michael J. Fulham, Weidong Cai |
| 2016 | MICCAI | Lung Nodule Classification by Jointly Using Visual Descriptors and Deep Features. | Yutong Xie, Jianpeng Zhang, Sidong Liu, Weidong Cai, Yong Xia |