Multi-scale Context Intertwining for Semantic Segmentation. - Di Lin 002; Yuanfeng Ji; Dani Lischinski; Daniel Cohen-Or; Hui Huang 004 (ECCV (3), 2018)

ZigZagNet: Fusing Top-Down and Bottom-Up Context for Object Segmentation. - Di Lin 002; Dingguo Shen; Siting Shen; Yuanfeng Ji; Dani Lischinski; Daniel Cohen-Or; Hui Huang 004 (CVPR, 2019)

PRSNet: Part Relation and Selection Network for Bone Age Assessment. - Yuanfeng Ji; Hao Chen 011; Dan Lin 009; Xiaohua Wu; Di Lin 002 (MICCAI (6), 2019)

UXNet: Searching Multi-level Feature Aggregation for 3D Medical Image Segmentation. - Yuanfeng Ji; Ruimao Zhang; Zhen Li 026; Jiamin Ren; Shaoting Zhang 001; Ping Luo 002 (MICCAI (1), 2020)

RANet: Region Attention Network for Semantic Segmentation. - Dingguo Shen; Yuanfeng Ji; Ping Li 016; Yi Wang 031; Di Lin 002 (NeurIPS, 2020)

SCN: Switchable Context Network for Semantic Segmentation of RGB-D Images. - Di Lin 002; Ruimao Zhang; Yuanfeng Ji; Ping Li 016; Hui Huang 004 (IEEE Trans. Cybern., 2020)

Multi-compound Transformer for Accurate Biomedical Image Segmentation. - Yuanfeng Ji; Ruimao Zhang; Huijie Wang; Zhen Li 026; Lingyun Wu; Shaoting Zhang 001; Ping Luo 002 (MICCAI (1), 2021)

Multi-frame Collaboration for Effective Endoscopic Video Polyp Detection via Spatial-Temporal Feature Transformation. - Lingyun Wu; Zhiqiang Hu; Yuanfeng Ji; Ping Luo 002; Shaoting Zhang 001 (MICCAI (5), 2021)

The Medical Segmentation Decathlon. - Michela Antonelli; Annika Reinke; Spyridon Bakas; Keyvan Farahani; Annette Kopp-Schneider; Bennett A. Landman; Geert Litjens 001; Bjoern H. Menze; Olaf Ronneberger; Ronald M. Summers; Bram van Ginneken; Michel Bilello; et al. (CoRR, 2021)

AMOS: A Large-Scale Abdominal Multi-Organ Benchmark for Versatile Medical Image Segmentation. - Yuanfeng Ji; Haotian Bai; Chongjian Ge; Jie Yang; Ye Zhu; Ruimao Zhang; Zhen Li 026; Lingyan Zhang; Wanling Ma; Xiang Wan; Ping Luo 002 (NeurIPS, 2022)

DrugOOD: Out-of-Distribution (OOD) Dataset Curator and Benchmark for AI-aided Drug Discovery - A Focus on Affinity Prediction Problems with Noise Annotations. - Yuanfeng Ji; Lu Zhang 060; Jiaxiang Wu 001; Bingzhe Wu; Long-Kai Huang; Tingyang Xu; Yu Rong 001; Lanqing Li; Jie Ren; Ding Xue; Houtim Lai; Shaoyong Xu; et al. (CoRR, 2022)

DrugOOD: Out-of-Distribution Dataset Curator and Benchmark for AI-Aided Drug Discovery - a Focus on Affinity Prediction Problems with Noise Annotations. - Yuanfeng Ji; Lu Zhang 060; Jiaxiang Wu 001; Bingzhe Wu; Lanqing Li; Long-Kai Huang; Tingyang Xu; Yu Rong 001; Jie Ren; Ding Xue; Houtim Lai; Wei Liu 005; et al. (AAAI, 2023)

DDP: Diffusion Model for Dense Visual Prediction. - Yuanfeng Ji; Zhe Chen 017; Enze Xie; Lanqing Hong; Xihui Liu; Zhaoqiang Liu; Tong Lu; Zhenguo Li; Ping Luo 002 (ICCV, 2023)

SyNDock: N Rigid Protein Docking via Learnable Group Synchronization. - Yuanfeng Ji; Yatao Bian; Guoji Fu; Peilin Zhao; Ping Luo 002 (CoRR, 2023)

Large Language Models as Automated Aligners for benchmarking Vision-Language Models. - Yuanfeng Ji; Chongjian Ge; Weikai Kong; Enze Xie; Zhengying Liu; Zhengguo Li; Ping Luo 002 (CoRR, 2023)

TAGNet: Learning Configurable Context Pathways for Semantic Segmentation. - Di Lin 002; Dingguo Shen; Yuanfeng Ji; Siting Shen; Mingrui Xie; Wei Feng 005; Hui Huang 004 (IEEE Trans. Pattern Anal. Mach. Intell., 2023)

Large Language Models as Automated Aligners for benchmarking Vision-Language Models. - Yuanfeng Ji; Chongjian Ge; Weikai Kong; Enze Xie; Zhengying Liu; Zhenguo Li; Ping Luo 002 (ICLR, 2024)

SlideChat: A Large Vision-Language Assistant for Whole-Slide Pathology Image Understanding. - Ying Chen; Guoan Wang; Yuanfeng Ji; Yanjun Li 007; Jin Ye 002; Tianbin Li; Bin Zhang; Nana Pei; Rongshan Yu; Yu Qiao 001; Junjun He (CoRR, 2024)

Artificial Intelligence-Enhanced Couinaud Segmentation for Precision Liver Cancer Therapy. - Liang Qiu; Wenhao Chi; Xiaohan Xing; Praveenbalaji Rajendran; Mingjie Li; Yuming Jiang 006; Oscar Pastor-Serrano; Sen Yang 006; Xiyue Wang; Yuanfeng Ji; Qiang Wen (CoRR, 2024)

GMAI-VL & GMAI-VL-5.5M: A Large Vision-Language Model and A Comprehensive Multimodal Dataset Towards General Medical AI. - Tianbin Li; Yanzhou Su; Wei Li 044; Bin Fu; Zhe Chen 017; Ziyan Huang; Guoan Wang; Chenglong Ma; Ying Chen; Ming Hu; Yanjun Li 007; Pengcheng Chen; et al. (CoRR, 2024)

SegBook: A Simple Baseline and Cookbook for Volumetric Medical Image Segmentation. - Jin Ye 002; Ying Chen; Yanjun Li 007; Haoyu Wang 010; Zhongying Deng; Ziyan Huang; Yanzhou Su; Chenglong Ma; Yuanfeng Ji; Junjun He (CoRR, 2024)

SlideChat: A Large Vision-Language Assistant for Whole-Slide Pathology Image Understanding. - Ying Chen; Guoan Wang; Yuanfeng Ji; Yanjun Li 007; Jin Ye 002; Tianbin Li; Ming Hu; Rongshan Yu; Yu Qiao 001; Junjun He (CVPR, 2025)

CompGS: Unleashing 2D Compositionality for Compositional Text-to-3D via Dynamically Optimizing 3D Gaussians. - Chongjian Ge; Chenfeng Xu; Yuanfeng Ji; Chensheng Peng; Masayoshi Tomizuka; Ping Luo 002; Mingyu Ding; Varun Jampani; Wei Zhan (CVPR, 2025)

GMAI-VL-R1: Harnessing Reinforcement Learning for Multimodal Medical Reasoning. - Yanzhou Su; Tianbin Li; Jiyao Liu; Chenglong Ma; Junzhi Ning; Cheng Tang; Sibo Ju; Jin Ye 002; Pengcheng Chen; Ming Hu; Shixiang Tang; Lihao Liu; et al. (CoRR, 2025)

MedITok: A Unified Tokenizer for Medical Image Synthesis and Interpretation. - Chenglong Ma; Yuanfeng Ji; Jin Ye 002; Zilong Li 001; Chenhui Wang; Junzhi Ning; Wei Li 044; Lihao Liu; Qiushan Guo; Tianbin Li; Junjun He; Hongming Shan (CoRR, 2025)