Residual Compensation Networks for Heterogeneous Face Recognition. - Zhongying Deng; Xiaojiang Peng; Yu Qiao 001 (AAAI, 2019)

Adaptive Pyramid Context Network for Semantic Segmentation. - Junjun He; Zhongying Deng; Lei Zhou 003; Yali Wang 001; Yu Qiao 001 (CVPR, 2019)

Dynamic Multi-Scale Filters for Semantic Segmentation. - Junjun He; Zhongying Deng; Yu Qiao 001 (ICCV, 2019)

Mutual Component Convolutional Neural Networks for Heterogeneous Face Recognition. - Zhongying Deng; Xiaojiang Peng; Zhifeng Li 001; Yu Qiao 001 (IEEE Trans. Image Process., 2019)

Learning Discriminative Representation For Facial Expression Recognition From Uncertainties. - Xingyu Fan; Zhongying Deng; Kai Wang 036; Xiaojiang Peng; Yu Qiao 001 (ICIP, 2020)

Domain Attention Consistency for Multi-Source Domain Adaptation. - Zhongying Deng; Kaiyang Zhou; Yongxin Yang; Tao Xiang 002 (BMVC, 2021)

Robust Target Training for Multi-Source Domain Adaptation. - Zhongying Deng; Da Li 001; Yi-Zhe Song; Tao Xiang 002 (BMVC, 2022)

Revisiting nnU-Net for Iterative Pseudo Labeling and Efficient Sliding Window Inference. - Ziyan Huang; Haoyu Wang 010; Jin Ye 002; Jingqi Niu; Can Tu; Yuncheng Yang; Shiyi Du; Zhongying Deng; Lixu Gu; Junjun He (FLARE@MICCAI, 2022)

Self Pre-training with Single-Scale Adapter for Left Atrial Segmentation. - Can Tu; Ziyan Huang; Zhongying Deng; Yuncheng Yang; Chenglong Ma; Junjun He; Jin Ye 002; Haoyu Wang 010; Xiaowei Ding (LAScarQS@MICCAI, 2022)

An evaluation of U-Net in Renal Structure Segmentation. - Haoyu Wang 010; Ziyan Huang; Jin Ye 002; Can Tu; Yuncheng Yang; Shiyi Du; Zhongying Deng; Chenglong Ma; Jingqi Niu; Junjun He (CoRR, 2022)

Exploring Vanilla U-Net for Lesion Segmentation from Whole-body FDG-PET/CT Scans. - Jin Ye 002; Haoyu Wang 010; Ziyan Huang; Zhongying Deng; Yanzhou Su; Can Tu; Qian Wu; Yuncheng Yang; Meng Wei; Jingqi Niu; Junjun He (CoRR, 2022)

Dynamic Instance Domain Adaptation. - Zhongying Deng; Kaiyang Zhou; Da Li 001; Junjun He; Yi-Zhe Song; Tao Xiang 002 (IEEE Trans. Image Process., 2022)

Go To The Right: A Real-Time and Accurate Polyp Segmentation Model for Practical Use. - Yanzhou Su; Changjian Deng; Zhongying Deng; Jin Ye 002; Junjun He; Jian Cheng 003 (ISBI, 2023)

Exploiting Pseudo-labeling and nnU-Netv2 Inference Acceleration for Abdominal Multi-organ and Pan-Cancer Segmentation. - Ziyan Huang; Jin Ye 002; Haoyu Wang 010; Zhongying Deng; Tianbin Li; Junjun He (FLARE@MICCAI, 2023)

Evaluating STU-Net for Brain Tumor Segmentation. - Ziyan Huang; Jin Ye 002; Haoyu Wang 010; Zhongying Deng; Yanzhou Su; Tianbin Li; Junlong Cheng; Jianpin Chen; Sizheng Guo; Yiqing Shen 003; Junjun He (BraTS/CrossMoDA@MICCAI, 2023)

FCN+: Global Receptive Convolution Makes FCN Great Again. - Zhongying Deng; Xiaoyu Ren; Jin Ye 002; Junjun He; Yu Qiao 001 (CoRR, 2023)

Generative Model Based Noise Robust Training for Unsupervised Domain Adaptation. - Zhongying Deng; Da Li 001; Junjun He; Yi-Zhe Song; Tao Xiang 002 (CoRR, 2023)

STU-Net: Scalable and Transferable Medical Image Segmentation Models Empowered by Large-Scale Supervised Pre-training. - Ziyan Huang; Haoyu Wang 010; Zhongying Deng; Jin Ye 002; Yanzhou Su; Hui Sun; Junjun He; Yun Gu; Lixu Gu; Shaoting Zhang 001; Yu Qiao 001 (CoRR, 2023)

SAM-Med2D. - Junlong Cheng; Jin Ye 002; Zhongying Deng; Jianpin Chen; Tianbin Li; Haoyu Wang 010; Yanzhou Su; Ziyan Huang; Jilong Chen; Lei Jiang; Hui Sun; Junjun He; et al. (CoRR, 2023)

A-Eval: A Benchmark for Cross-Dataset Evaluation of Abdominal Multi-Organ Segmentation. - Ziyan Huang; Zhongying Deng; Jin Ye 002; Haoyu Wang 010; Yanzhou Su; Tianbin Li; Hui Sun; Junlong Cheng; Jianpin Chen; Junjun He; Yun Gu; Shaoting Zhang 001; et al. (CoRR, 2023)

SAM-Med3D. - Haoyu Wang 010; Sizheng Guo; Jin Ye 002; Zhongying Deng; Junlong Cheng; Tianbin Li; Jianpin Chen; Yanzhou Su; Ziyan Huang; Yiqing Shen 003; Bin Fu; Shaoting Zhang 001; et al. (CoRR, 2023)

SA-Med2D-20M Dataset: Segment Anything in 2D Medical Imaging with 20 Million masks. - Jin Ye 002; Junlong Cheng; Jianpin Chen; Zhongying Deng; Tianbin Li; Haoyu Wang 010; Yanzhou Su; Ziyan Huang; Jilong Chen; Lei Jiang; Hui Sun; Min Zhu; et al. (CoRR, 2023)

TrafficMOT: A Challenging Dataset for Multi-Object Tracking in Complex Traffic Scenarios. - Lihao Liu; Yanqi Cheng; Zhongying Deng; Shujun Wang; Dongdong Chen 004; Xiaowei Hu 001; Pietro Liò; Carola-Bibiane Schönlieb; Angelica E. Avilés-Rivero (CoRR, 2023)

Enhancing Medical Task Performance in GPT-4V: A Comprehensive Study on Prompt Engineering Strategies. - Pengcheng Chen; Ziyan Huang; Zhongying Deng; Tianbin Li; Yanzhou Su; Haoyu Wang 010; Jin Ye 002; Yu Qiao 001; Junjun He (CoRR, 2023)

Khmer Sentiment Lexicon Based on PU Learning and Label Propagation Algorithm. - Chao Li; Xin Yan 005; Guangyi Xu 001; Zhongying Deng; Yuanyuan Mo (ACM Trans. Asian Low Resour. Lang. Inf. Process., 2023)

SAM-Med3D: Towards General-Purpose Segmentation Models for Volumetric Medical Images. - Haoyu Wang 010; Sizheng Guo; Jin Ye 002; Zhongying Deng; Junlong Cheng; Tianbin Li; Jianpin Chen; Yanzhou Su; Ziyan Huang; Yiqing Shen 003; Bin Fu; Shaoting Zhang 001; et al. (ECCV Workshops (16), 2024)

HAMLET: Graph Transformer Neural Operator for Partial Differential Equations. - Andrey Bryutkin; Jiahao Huang; Zhongying Deng; Guang Yang 006; Carola-Bibiane Schönlieb; Angelica I. Avilés-Rivero (ICML, 2024)

TrafficMOT: A Challenging Dataset for Multi-Object Tracking in Complex Traffic Scenarios. - Lihao Liu; Yanqi Cheng; Zhongying Deng; Shujun Wang; Dongdong Chen 001; Xiaowei Hu 001; Pietro Liò; Carola-Bibiane Schönlieb; Angelica E. Avilés-Rivero (ACM Multimedia, 2024)

GMAI-MMBench: A Comprehensive Multimodal Evaluation Benchmark Towards General Medical AI. - Pengcheng Chen; Jin Ye 002; Guoan Wang; Yanjun Li 007; Zhongying Deng; Wei Li 044; Tianbin Li; Haodong Duan; Ziyan Huang; Yanzhou Su; Benyou Wang; Shaoting Zhang 001; et al. (NeurIPS, 2024)

HAMLET: Graph Transformer Neural Operator for Partial Differential Equations. - Andrey Bryutkin; Jiahao Huang; Zhongying Deng; Guang Yang 006; Carola-Bibiane Schönlieb; Angelica E. Avilés-Rivero (CoRR, 2024)

Bilevel Hypergraph Networks for Multi-Modal Alzheimer's Diagnosis. - Angelica I. Avilés-Rivero; Chun-Wun Cheng; Zhongying Deng; Zoe Kourtzi; Carola-Bibiane Schönlieb (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)

NorMatch: Matching Normalizing Flows with Discriminative Classifiers for Semi-Supervised Learning. - Zhongying Deng; Rihuan Ke; Carola-Bibiane Schönlieb; Angelica I. Avilés-Rivero (Trans. Mach. Learn. Res., 2024)

CasText: Fusion of Text Information Flow and Global Perspective for Predicting the Size of Information Dissemination. - Hao Luo; Guixiang Cheng; Zhongying Deng; Haiyang Chi; Xin Yan (Expert Syst. J. Knowl. Eng., 2025)

FCN+: Global receptive convolution makes FCN great again. - Xiaoyu Ren; Zhongying Deng; Jin Ye 002; Junjun He; Dongxu Yang (Neurocomputing, 2025)

A-Eval: A benchmark for cross-dataset and cross-modality evaluation of abdominal multi-organ segmentation. - Ziyan Huang; Zhongying Deng; Jin Ye 002; Haoyu Wang 010; Yanzhou Su; Tianbin Li; Hui Sun; Junlong Cheng; Jianpin Chen; Junjun He; Yun Gu; Shaoting Zhang 001; et al. (Medical Image Anal., 2025)

Where Do We Stand with Implicit Neural Representations? A Technical and Performance Survey. - Amer Essakine; Yanqi Cheng; Chun-Wun Cheng; Lipei Zhang; Zhongying Deng; Lei Zhu 003; Carola-Bibiane Schönlieb; Angelica I. Avilés-Rivero (Trans. Mach. Learn. Res., 2025)

TrafficCAM: A Versatile Dataset for Traffic Flow Segmentation. - Zhongying Deng; Yanqi Cheng; Lihao Liu; Shujun Wang; Rihuan Ke; Carola-Bibiane Schönlieb; Angelica I. Avilés-Rivero (IEEE Trans. Intell. Transp. Syst., 2025)

Brain Foundation Models with Hypergraph Dynamic Adapter for Brain Disease Analysis. - Zhongying Deng; Haoyu Wang; Ziyan Huang; Lipei Zhang; Angelica I. Avilés-Rivero; Chaoyu Liu; Junjun He; Zoe Kourtzi; Carola-Bibiane Schönlieb (CoRR, 2025)

Conservation-preserved Fourier Neural Operator through Adaptive Correction. - Chaoyu Liu; Yangming Li; Zhongying Deng; Chris J. Budd; Carola-Bibiane Schönlieb (CoRR, 2025)