Reconstruction of Thin-Slice Medical Images Using Generative Adversarial Network. - Zeju Li; Yuanyuan Wang 001; Jinhua Yu (MLMI@MICCAI, 2017)

Brain Tumor Segmentation Using an Adversarial Network. - Zeju Li; Yuanyuan Wang 001; Jinhua Yu (BrainLes@MICCAI, 2017)

A Multi-Scope Convolutional Neural Network for Automatic Left Ventricle Segmentation from Magnetic Resonance Images: Deep-Learning at Multiple Scopes. - Xinyi Li 002; Yuanyuan Wang 001; Wenjun Yan; Rob J. van der Geest; Zeju Li; Qian Tao (CISP-BMEI, 2018)

Left Ventricle Segmentation via Optical-Flow-Net from Short-Axis Cine MRI: Preserving the Temporal Coherence of Cardiac Motion. - Wenjun Yan; Yuanyuan Wang 001; Zeju Li; Rob J. van der Geest; Qian Tao (MICCAI (4), 2018)

Overfitting of Neural Nets Under Class Imbalance: Analysis and Improvements for Segmentation. - Zeju Li; Konstantinos Kamnitsas; Ben Glocker (MICCAI (3), 2019)

Encoding CT Anatomy Knowledge for Unpaired Chest X-ray Image Decomposition. - Zeju Li; Han Li; Hu Han 001; Gonglei Shi; Jiannan Wang 005; Shaohua Kevin Zhou (MICCAI (6), 2019)

Deep Generative Adversarial Networks for Thin-Section Infant MR Image Reconstruction. - Jiaqi Gu; Zeju Li; Yuanyuan Wang 001; Haowei Yang; Zhongwei Qiao; Jinhua Yu (IEEE Access, 2019)

Early identification of ischemic stroke in noncontrast computed tomography. - Guoqing Wu 003; Jixian Lin; Xi Chen; Zeju Li; Yuanyuan Wang 001; Jing Zhao; Jinhua Yu (Biomed. Signal Process. Control., 2019)

Super-Resolution Reconstruction of Plane-Wave Ultrasound Image Based on a Multi-Angle Parallel U-Net with Maxout Unit and Novel Loss Function. - Zixia Zhou; Yuanyuan Wang 001; Jinhua Yu; Wei Guo; Zeju Li (J. Medical Imaging Health Informatics, 2019)

High-Resolution Chest X-Ray Bone Suppression Using Unpaired CT Structural Priors. - Han Li; Hu Han 001; Zeju Li; Lei Wang; Zhe Wu; Jingjing Lu; S. Kevin Zhou (IEEE Trans. Medical Imaging, 2020)

Learn2Reg: comprehensive multi-task medical image registration challenge, dataset and evaluation in the era of deep learning. - Alessa Hering; Lasse Hansen; Tony C. W. Mok; Albert C. S. Chung; Hanna Siebert; Stephanie Häger; Annkristin Lange; Sven Kuckertz; Stefan Heldmann; Wei Shao 008; Sulaiman Vesal; Mirabela Rusu; et al. (CoRR, 2021)

Federated deep learning for detecting COVID-19 lung abnormalities in CT: a privacy-preserving multinational validation study. - Qi Dou 001; Tiffany Y. So; Meirui Jiang; Quande Liu; Varut Vardhanabhuti; Georgios Kaissis; Zeju Li; Weixin Si; Heather H. C. Lee; Kevin Yu; Zuxin Feng; Li Dong; et al. (npj Digit. Medicine, 2021)

DeepVolume: Brain Structure and Spatial Connection-Aware Network for Brain MRI Super-Resolution. - Zeju Li; Jinhua Yu; Yuanyuan Wang 001; Hanzhang Zhou; Haowei Yang; Zhongwei Qiao (IEEE Trans. Cybern., 2021)

Analyzing Overfitting Under Class Imbalance in Neural Networks for Image Segmentation. - Zeju Li; Konstantinos Kamnitsas; Ben Glocker (IEEE Trans. Medical Imaging, 2021)

Tackling Long-Tailed Category Distribution Under Domain Shifts. - Xiao Gu 003; Yao Guo 002; Zeju Li; Jianing Qiu; Qi Dou 001; Yuxuan Liu 013; Benny Lo; Guang-Zhong Yang (ECCV (23), 2022)

MaxStyle: Adversarial Style Composition for Robust Medical Image Segmentation. - Chen Chen 042; Zeju Li; Cheng Ouyang; Matthew Sinclair; Wenjia Bai; Daniel Rueckert (MICCAI (5), 2022)

Estimating Model Performance Under Domain Shifts with Class-Specific Confidence Scores. - Zeju Li; Konstantinos Kamnitsas; Mobarakol Islam; Chen Chen 042; Ben Glocker (MICCAI (8), 2022)

Fetal Cortex Segmentation with Topology and Thickness Loss Constraints. - Liu Li; Qiang Ma 004; Zeju Li; Cheng Ouyang; Weitong Zhang; Anthony Price; Vanessa Kyriakopoulou; Lucilio Cordero-Grande; Antonios Makropoulos; Joseph V. Hajnal; Daniel Rueckert; Bernhard Kainz; et al. (EPIMI/ML-CDS@MICCAI, 2022)

Improved Post-hoc Probability Calibration for Out-of-Domain MRI Segmentation. - Cheng Ouyang; Shuo Wang 011; Chen Chen 042; Zeju Li; Wenjia Bai; Bernhard Kainz; Daniel Rueckert (UNSURE@MICCAI, 2022)

SemBAT: Physical Layer Black-box Adversarial Attacks for Deep Learning-based Semantic Communication Systems. - Zeju Li; Jinfei Zhou; Guoshun Nan; Zhichun Li; Qimei Cui; Xiaofeng Tao (VTC Fall, 2022)

Enhancing MR image segmentation with realistic adversarial data augmentation. - Chen Chen 042; Chen Qin; Cheng Ouyang; Zeju Li; Shuo Wang 011; Huaqi Qiu; Liang Chen 018; Giacomo Tarroni; Wenjia Bai; Daniel Rueckert (Medical Image Anal., 2022)

Author Correction: Federated deep learning for detecting COVID-19 lung abnormalities in CT: a privacy-preserving multinational validation study. - Qi Dou 001; Tiffany Y. So; Meirui Jiang; Quande Liu; Varut Vardhanabhuti; Georgios Kaissis; Zeju Li; Weixin Si; Heather H. C. Lee; Kevin Yu; Zuxin Feng; Li Dong; et al. (npj Digit. Medicine, 2022)

Breast Tumor Classification Based on MRI-US Images by Disentangling Modality Features. - Mengyun Qiao; Chencheng Liu; Zeju Li; Jin Zhou; Qin Xiao; Shichong Zhou; Cai Chang; Yajia Gu; Yi Guo 002; Yuanyuan Wang 001 (IEEE J. Biomed. Health Informatics, 2022)

Multi-Source Education Knowledge Graph Construction and Fusion for College Curricula. - Zeju Li; Linya Cheng; Chunhong Zhang; Xinning Zhu; Hui Zhao 001 (ICALT, 2023)

Boosting Physical Layer Black-Box Attacks with Semantic Adversaries in Semantic Communications. - Zeju Li; Xinghan Liu; Guoshun Nan; Jinfei Zhou; Xinchen Lyu; Qimei Cui; Xiaofeng Tao (ICC, 2023)

Robustness Stress Testing in Medical Image Classification. - Mobarakol Islam; Zeju Li; Ben Glocker (UNSURE@MICCAI, 2023)

Robust Segmentation via Topology Violation Detection and Feature Synthesis. - Liu Li; Qiang Ma 004; Cheng Ouyang; Zeju Li; Qingjie Meng; Weitong Zhang; Mengyun Qiao; Vanessa Kyriakopoulou; Joseph V. Hajnal; Daniel Rueckert; Bernhard Kainz (MICCAI (4), 2023)

Post-Deployment Adaptation with Access to Source Data via Federated Learning and Source-Target Remote Gradient Alignment. - Felix Wagner 001; Zeju Li; Pramit Saha; Konstantinos Kamnitsas (MLMI@MICCAI (2), 2023)

Learn2Reg: Comprehensive Multi-Task Medical Image Registration Challenge, Dataset and Evaluation in the Era of Deep Learning. - Alessa Hering; Lasse Hansen; Tony C. W. Mok; Albert C. S. Chung; Hanna Siebert; Stephanie Häger; Annkristin Lange; Sven Kuckertz; Stefan Heldmann; Wei Shao 008; Sulaiman Vesal; Mirabela Rusu; et al. (IEEE Trans. Medical Imaging, 2023)

Causality-Inspired Single-Source Domain Generalization for Medical Image Segmentation. - Cheng Ouyang; Chen Chen 042; Surui Li; Zeju Li; Chen Qin; Wenjia Bai; Daniel Rueckert (IEEE Trans. Medical Imaging, 2023)

Context Label Learning: Improving Background Class Representations in Semantic Segmentation. - Zeju Li; Konstantinos Kamnitsas; Cheng Ouyang; Chen Chen 042; Ben Glocker (IEEE Trans. Medical Imaging, 2023)

W-AMA: Weight-aware Approximate Multiplication Architecture for neural processing. - Bo Liu 019; Renyuan Zhang; Qiao Shen 001; Zeju Li; Na Xie; Yuanhao Wang 009; Chonghang Xie; Hao Cai 001 (Comput. Electr. Eng., 2023)

SemProtector: A Unified Framework for Semantic Protection in Deep Learning-based Semantic Communication Systems. - Xinghan Liu; Guoshun Nan; Qimei Cui; Zeju Li; Peiyuan Liu; Zebin Xing; Hanqing Mu; Xiaofeng Tao; Tony Q. S. Quek (IEEE Commun. Mag., 2023)

Joint Optimization of Class-Specific Training- and Test-Time Data Augmentation in Segmentation. - Zeju Li; Konstantinos Kamnitsas; Qi Dou 001; Chen Qin; Ben Glocker (IEEE Trans. Medical Imaging, 2023)

3DMIT: 3D Multi-Modal Instruction Tuning for Scene Understanding. - Zeju Li; Chao Zhang; Xiaoyan Wang; Ruilong Ren; Yifan Xu; Ruifei Ma; Xiangde Liu; Rong Wei (ICME Workshops, 2024)

FedFDD: Federated Learning with Frequency Domain Decomposition for Low-Dose CT Denoising. - Xuhang Chen 003; Zeju Li; Zikun Xu; Kaijie Xu 002; Cheng Ouyang; Chen Qin (MIDL, 2024)

3DMIT: 3D Multi-modal Instruction Tuning for Scene Understanding. - Zeju Li; Chao Zhang; Xiaoyan Wang; Ruilong Ren; Yifan Xu; Ruifei Ma; Xiangde Liu (CoRR, 2024)

Learning Label Refinement and Threshold Adjustment for Imbalanced Semi-Supervised Learning. - Zeju Li; Ying-Qiu Zheng; Chen Chen 042; Saâd Jbabdi (CoRR, 2024)

Exploring the Distributed Knowledge Congruence in Proxy-data-free Federated Distillation. - Zhiyuan Wu; Sheng Sun; Yuwei Wang 003; Min Liu 001; Quyang Pan; Junbo Zhang; Zeju Li; Qingxiang Liu 004 (ACM Trans. Intell. Syst. Technol., 2024)

Layer-Sensitive Neural Processing Architecture for Error-Tolerant Applications. - Zeju Li; Qinfan Wang; Zihan Zou; Qiao Shen 001; Na Xie; Hao Cai 001; Hao Zhang 111; Bo Liu 019 (IEEE Trans. Very Large Scale Integr. Syst., 2024)

DeepRTL: Bridging Verilog Understanding and Generation with a Unified Representation Model. - Yi Liu; Changran Xu; Yunhao Zhou; Zeju Li; Qiang Xu 001 (ICLR, 2025)

Dyve: Thinking Fast and Slow for Dynamic Process Verification. - Jianyuan Zhong; Zeju Li; Zhijian Xu; Xiangyu Wen; Qiang Xu 001 (CoRR, 2025)

DeepCircuitX: A Comprehensive Repository-Level Dataset for RTL Code Understanding, Generation, and PPA Analysis. - Zeju Li; Changran Xu; Zhengyuan Shi; Zedong Peng; Yi Liu; Yunhao Zhou; Lingfeng Zhou; Chengyu Ma; Jianyuan Zhong; Xi Wang; Jieru Zhao; Zhufei Chu; et al. (CoRR, 2025)

ForgeEDA: A Comprehensive Multimodal Dataset for Advancing EDA. - Zhengyuan Shi; Zeju Li; Chengyu Ma; Yunhao Zhou; Ziyang Zheng; Jiawei Liu 006; Hongyang Pan; Lingfeng Zhou; Kezhi Li; Jiaying Zhu; Lingwei Yan; Zhiqiang He; et al. (CoRR, 2025)

Solve-Detect-Verify: Inference-Time Scaling with Flexible Generative Verifier. - Jianyuan Zhong; Zeju Li; Zhijian Xu; Xiangyu Wen; Kezhi Li; Qiang Xu 001 (CoRR, 2025)

VAP-Diffusion: Enriching Descriptions with MLLMs for Enhanced Medical Image Generation. - Peng Huang; Junhu Fu; Bowen Guo; Zeju Li; Yuanyuan Wang 001; Yi Guo 002 (CoRR, 2025)

ForgeHLS: A Large-Scale, Open-Source Dataset for High-Level Synthesis. - Zedong Peng; Zeju Li; Mingzhe Gao; Qiang Xu 001; Chen Zhang 001; Jieru Zhao (CoRR, 2025)

Argus: Leveraging Multiview Images for Improved 3-D Scene Understanding With Large Language Models. - Yifan Xu; Chao Zhang; Hanqi Jiang; Xiaoyan Wang; Ruifei Ma; Yiwei Li; Zihao Wu; Zeju Li; Xiangde Liu (CoRR, 2025)

Spatial 3D-LLM: Exploring Spatial Awareness in 3D Vision-Language Models. - Xiaoyan Wang; Zeju Li; Yifan Xu; Jiaxing Qi; Zhifei Yang 004; Ruifei Ma; Xiangde Liu; Chao Zhang (CoRR, 2025)

Compressing Chain-of-Thought in LLMs via Step Entropy. - Zeju Li; Jianyuan Zhong; Ziyang Zheng; Xiangyu Wen; Zhijian Xu; Yingying Cheng; Fan Zhang; Qiang Xu 001 (CoRR, 2025)

ODYSSEY: Open-World Quadrupeds Exploration and Manipulation for Long-Horizon Tasks. - Kaijun Wang; Liqin Lu; Mingyu Liu; Jianuo Jiang; Zeju Li; Bolin Zhang; Wancai Zheng; Xinyi Yu; Hao Chen; Chunhua Shen (CoRR, 2025)