Zeju Li

According to our database, Zeju Li authored at least 65 papers between 2017 and 2026.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2026

Context Distillation as Latent Memory Management.

Ziyang Zheng, Zeju Li, Xiangyu Wen, Jianyuan Zhong, Junhua Huang, Lei Chen, Mingxuan Yuan, Qiang Xu

CoRR, May, 2026

DepthPilot: From Controllability to Interpretability in Colonoscopy Video Generation.

Junhu Fu, Ke Chen, Weidong Guo, Shuyu Liang, Jie Xu, Chen Ma, Kehao Wang, Shengli Lin, Zeju Li, Yuanyuan Wang, Yi Guo, Shuo Li

CoRR, April, 2026

From Craft to Kernel: A Governance-First Execution Architecture and Semantic ISA for Agentic Computers.

Xiangyu Wen, Yuang Zhao, Xiaoyu Xu, Lingjun Chen, Changran Xu, Shu Chi, Jianrong Ding, Zeju Li, Haomin Li, Li Jiang, Fangxin Liu, Qiang Xu

CoRR, April, 2026

DiffHLS: Differential Learning for High-Level Synthesis QoR Prediction with GNNs and LLM Code Embeddings.

Zedong Peng, Zeju Li, Qiang Xu, Jieru Zhao

CoRR, April, 2026

Fine-Grained Action Segmentation for Renorrhaphy in Robot-Assisted Partial Nephrectomy.

Jiaheng Dai, Huanrong Liu, Tailai Zhou, Tongyu Jia, Qin Liu, Yutong Ban, Zeju Li, Yu Gao, Xin Ma, Qingbiao Li

CoRR, April, 2026

EchoAgent: Towards Reliable Echocardiography Interpretation with "Eyes","Hands" and "Minds".

Qin Wang, Zhiqing He, Yu Liu, Bowen Guo, Zeju Li, Miao Zhao, Wenhao Ju, Zhiling Luo, Xianhong Shu, Yi Guo, Yuanyuan Wang

CoRR, April, 2026

ColoDiff: Integrating Dynamic Consistency With Content Awareness for Colonoscopy Video Generation.

Junhu Fu, Shuyu Liang, Wutong Li, Chen Ma, Peng Huang, Kehao Wang, Ke Chen, Shengli Lin, Pinghong Zhou, Zeju Li, Yuanyuan Wang, Yi Guo

CoRR, February, 2026

Latent Context Compilation: Distilling Long Context into Compact Portable Memory.

Zeju Li, Yizhou Zhou, Qiang Xu

CoRR, February, 2026

AGILE: Hand-Object Interaction Reconstruction from Video via Agentic Generation.

Jin-Chuan Shi, Binhong Ye, Tao Liu, Junzhe He, Yangjinhui Xu, Xiaoyang Liu, Zeju Li, Hao Chen, Chunhua Shen

CoRR, February, 2026

Temporally coherent self-supervised apical trajectory learning for apical rocking classification in echocardiographic videos.

Mingshan Li, Fangyan Tian, Qin Wang, Zeju Li, Xianhong Shu, Yi Guo, Yuanyuan Wang

Biomed. Signal Process. Control., 2026

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

Proceedings of the Fortieth AAAI Conference on Artificial Intelligence, 2026

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

IEEE Trans. Neural Networks Learn. Syst., October, 2025

From Craft to Constitution: A Governance-First Paradigm for Principled Agent Engineering.

Qiang Xu, Xiangyu Wen, Changran Xu, Zeju Li, Jianyuan Zhong

CoRR, October, 2025

StaMo: Unsupervised Learning of Generalizable Robot Motion from Compact State Representation.

Mingyu Liu, Jiuhe Shu, Hui Chen, Zeju Li, Canyu Zhao, Jiange Yang, Shenyuan Gao, Hao Chen, Chunhua Shen

CoRR, October, 2025

Reasoning Scaffolding: Distilling the Flow of Thought from LLMs.

Xiangyu Wen, Junhua Huang, Zeju Li, Min Li, Jianyuan Zhong, Zhijian Xu, Mingxuan Yuan, Yongxiang Huang, Qiang Xu

CoRR, September, 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

CoRR, August, 2025

ForgeHLS: A Large-Scale, Open-Source Dataset for High-Level Synthesis.

Zedong Peng, Zeju Li, Mingzhe Gao, Qiang Xu, Chen Zhang, Jieru Zhao

CoRR, July, 2025

Solve-Detect-Verify: Inference-Time Scaling with Flexible Generative Verifier.

Jianyuan Zhong, Zeju Li, Zhijian Xu, Xiangyu Wen, Kezhi Li, Qiang Xu

CoRR, May, 2025

ForgeEDA: A Comprehensive Multimodal Dataset for Advancing EDA.

Zhengyuan Shi, Zeju Li, Chengyu Ma, Yunhao Zhou, Ziyang Zheng, Jiawei Liu, Hongyang Pan, Lingfeng Zhou, Kezhi Li, Jiaying Zhu, Lingwei Yan, Zhiqiang He, Chenhao Xue, Wentao Jiang, Fan Yang, Guangyu Sun, Xiaoyan Yang, Gang Chen, Chuan Shi, Zhufei Chu, Jun Yang, Qiang Xu

CoRR, May, 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, Xiaoyan Yang, Qiang Xu

CoRR, February, 2025

VAP-Diffusion: Enriching Descriptions with MLLMs for Enhanced Medical Image Generation.

Peng Huang, Junhu Fu, Bowen Guo, Zeju Li, Yuanyuan Wang, Yi Guo

Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2025, 2025

Spatial 3D-LLM : Exploring Spatial Awareness in 3D Vision-Language Models.

Xiaoyan Wang, Zeju Li, Yifan Xu, Jiaxing Qi, Zhifei Yang, Ruifei Ma, Xiangde Liu, Chao Zhang

Proceedings of the IEEE International Conference on Multimedia and Expo, 2025

DeepRTL: Bridging Verilog Understanding and Generation with a Unified Representation Model.

Yi Liu, Changran Xu, Yunhao Zhou, Zeju Li, Qiang Xu

Proceedings of the Thirteenth International Conference on Learning Representations, 2025

Dyve: Thinking Fast and Slow for Dynamic Process Verification.

Jianyuan Zhong, Zeju Li, Zhijian Xu, Xiangyu Wen, Qiang Xu

Proceedings of the 2025 Conference on Empirical Methods in Natural Language Processing, 2025

ThinkAnswer Loss: Balancing Semantic Similarity and Exact Matching for LLM Reasoning Enhancement.

Shan Yang, Kun Wu, Zeju Li, Linlin Zhang, Xiangyu Pei, Leike An, Yu Liu

Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2025, 2025

2024

Layer-Sensitive Neural Processing Architecture for Error-Tolerant Applications.

Zeju Li, Qinfan Wang, Zihan Zou, Qiao Shen, Na Xie, Hao Cai, Hao Zhang, Bo Liu

IEEE Trans. Very Large Scale Integr. Syst., May, 2024

Exploring the Distributed Knowledge Congruence in Proxy-data-free Federated Distillation.

Zhiyuan Wu, Sheng Sun, Yuwei Wang, Min Liu, Quyang Pan, Junbo Zhang, Zeju Li, Qingxiang Liu

ACM Trans. Intell. Syst. Technol., April, 2024

Learning Label Refinement and Threshold Adjustment for Imbalanced Semi-Supervised Learning.

Zeju Li, Ying-Qiu Zheng, Chen Chen, Saâd Jbabdi

CoRR, 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

FedFDD: Federated Learning with Frequency Domain Decomposition for Low-Dose CT Denoising.

Xuhang Chen, Zeju Li, Zikun Xu, Kaijie Xu, Cheng Ouyang, Chen Qin

Proceedings of the Medical Imaging with Deep Learning, 3-5 July 2024, Paris, France., 2024

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

Proceedings of the IEEE International Conference on Multimedia and Expo, 2024

2023

Joint Optimization of Class-Specific Training- and Test-Time Data Augmentation in Segmentation.

Zeju Li, Konstantinos Kamnitsas, Qi Dou, Chen Qin, Ben Glocker

IEEE Trans. Medical Imaging, November, 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., November, 2023

W-AMA: Weight-aware Approximate Multiplication Architecture for neural processing.

Bo Liu, Renyuan Zhang, Qiao Shen, Zeju Li, Na Xie, Yuanhao Wang, Chonghang Xie, Hao Cai

Comput. Electr. Eng., October, 2023

Context Label Learning: Improving Background Class Representations in Semantic Segmentation.

Zeju Li, Konstantinos Kamnitsas, Cheng Ouyang, Chen Chen, Ben Glocker

IEEE Trans. Medical Imaging, June, 2023

Causality-Inspired Single-Source Domain Generalization for Medical Image Segmentation.

Cheng Ouyang, Chen Chen, Surui Li, Zeju Li, Chen Qin, Wenjia Bai, Daniel Rueckert

IEEE Trans. Medical Imaging, April, 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, Sulaiman Vesal, Mirabela Rusu, Geoffrey A. Sonn, Théo Estienne, Maria Vakalopoulou, Luyi Han, Yunzhi Huang, Pew-Thian Yap, Mikael Brudfors, Yaël Balbastre, Samuel Joutard, Marc Modat, Gal Lifshitz, Dan Raviv, Jinxin Lv, Qiang Li, Vincent Jaouen, Dimitris Visvikis, Constance Fourcade, Mathieu Rubeaux, Wentao Pan, Zhe Xu, Bailiang Jian, Francesca De Benetti, Marek Wodzinski, Niklas Gunnarsson, Jens Sjölund, Daniel Grzech, Huaqi Qiu, Zeju Li, Alexander Thorley, Jinming Duan, Christoph Großbröhmer, Andrew Hoopes, Ingerid Reinertsen, Yiming Xiao, Bennett A. Landman, Yuankai Huo, Keelin Murphy, Nikolas Lessmann, Bram van Ginneken, Adrian V. Dalca, Mattias P. Heinrich

IEEE Trans. Medical Imaging, March, 2023

Post-Deployment Adaptation with Access to Source Data via Federated Learning and Source-Target Remote Gradient Alignment.

Felix Wagner, Zeju Li, Pramit Saha, Konstantinos Kamnitsas

Proceedings of the Machine Learning in Medical Imaging - 14th International Workshop, 2023

Robust Segmentation via Topology Violation Detection and Feature Synthesis.

Liu Li, Qiang Ma, Cheng Ouyang, Zeju Li, Qingjie Meng, Weitong Zhang, Mengyun Qiao, Vanessa Kyriakopoulou, Joseph V. Hajnal, Daniel Rueckert, Bernhard Kainz

Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2023, 2023

Robustness Stress Testing in Medical Image Classification.

Mobarakol Islam, Zeju Li, Ben Glocker

Proceedings of the Uncertainty for Safe Utilization of Machine Learning in Medical Imaging, 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

Proceedings of the IEEE International Conference on Communications, 2023

Multi-Source Education Knowledge Graph Construction and Fusion for College Curricula.

Zeju Li, Linya Cheng, Chunhong Zhang, Xinning Zhu, Hui Zhao

Proceedings of the IEEE International Conference on Advanced Learning Technologies, 2023

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, Yuanyuan Wang

IEEE J. Biomed. Health Informatics, 2022

Author Correction: Federated deep learning for detecting COVID-19 lung abnormalities in CT: a privacy-preserving multinational validation study.

Qi Dou, 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, Egon Burian, Friederike Jungmann, Rickmer Braren, Marcus R. Makowski, Bernhard Kainz, Daniel Rueckert, Ben Glocker, Simon C. H. Yu, Pheng-Ann Heng

npj Digit. Medicine, 2022

Enhancing MR image segmentation with realistic adversarial data augmentation.

Chen Chen, Chen Qin, Cheng Ouyang, Zeju Li, Shuo Wang, Huaqi Qiu, Liang Chen, Giacomo Tarroni, Wenjia Bai, Daniel Rueckert

Medical Image Anal., 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

Proceedings of the 96th Vehicular Technology Conference, 2022

Improved Post-hoc Probability Calibration for Out-of-Domain MRI Segmentation.

Cheng Ouyang, Shuo Wang, Chen Chen, Zeju Li, Wenjia Bai, Bernhard Kainz, Daniel Rueckert

Proceedings of the Uncertainty for Safe Utilization of Machine Learning in Medical Imaging, 2022

Fetal Cortex Segmentation with Topology and Thickness Loss Constraints.

Liu Li, Qiang Ma, Zeju Li, Cheng Ouyang, Weitong Zhang, Anthony Price, Vanessa Kyriakopoulou, Lucilio Cordero-Grande, Antonios Makropoulos, Joseph V. Hajnal, Daniel Rueckert, Bernhard Kainz, Amir Alansary

Proceedings of the Ethical and Philosophical Issues in Medical Imaging, Multimodal Learning and Fusion Across Scales for Clinical Decision Support, and Topological Data Analysis for Biomedical Imaging, 2022

Estimating Model Performance Under Domain Shifts with Class-Specific Confidence Scores.

Zeju Li, Konstantinos Kamnitsas, Mobarakol Islam, Chen Chen, Ben Glocker

Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2022, 2022

MaxStyle: Adversarial Style Composition for Robust Medical Image Segmentation.

Chen Chen, Zeju Li, Cheng Ouyang, Matthew Sinclair, Wenjia Bai, Daniel Rueckert

Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2022, 2022

Tackling Long-Tailed Category Distribution Under Domain Shifts.

Xiao Gu, Yao Guo, Zeju Li, Jianing Qiu, Qi Dou, Yuxuan Liu, Benny Lo, Guang-Zhong Yang

Proceedings of the Computer Vision - ECCV 2022, 2022

2021

Analyzing Overfitting Under Class Imbalance in Neural Networks for Image Segmentation.

Zeju Li, Konstantinos Kamnitsas, Ben Glocker

IEEE Trans. Medical Imaging, 2021

DeepVolume: Brain Structure and Spatial Connection-Aware Network for Brain MRI Super-Resolution.

Zeju Li, Jinhua Yu, Yuanyuan Wang, Hanzhang Zhou, Haowei Yang, Zhongwei Qiao

IEEE Trans. Cybern., 2021

Federated deep learning for detecting COVID-19 lung abnormalities in CT: a privacy-preserving multinational validation study.

Qi Dou, 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, Egon Burian, Friederike Jungmann, Rickmer Braren, Marcus R. Makowski, Bernhard Kainz, Daniel Rueckert, Ben Glocker, Simon C. H. Yu, Pheng-Ann Heng

npj Digit. Medicine, 2021

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, Sulaiman Vesal, Mirabela Rusu, Geoffrey A. Sonn, Théo Estienne, Maria Vakalopoulou, Luyi Han, Yunzhi Huang, Mikael Brudfors, Yaël Balbastre, Samuel Joutard, Marc Modat, Gal Lifshitz, Dan Raviv, Jinxin Lv, Qiang Li, Vincent Jaouen, Dimitris Visvikis, Constance Fourcade, Mathieu Rubeaux, Wentao Pan, Zhe Xu, Bailiang Jian, Francesca De Benetti, Marek Wodzinski, Niklas Gunnarsson, Huaqi Qiu, Zeju Li, Christoph Großbröhmer, Andrew Hoopes, Ingerid Reinertsen, Yiming Xiao, Bennett A. Landman, Yuankai Huo, Keelin Murphy, Bram van Ginneken, Adrian V. Dalca, Mattias P. Heinrich

CoRR, 2021

2020

High-Resolution Chest X-Ray Bone Suppression Using Unpaired CT Structural Priors.

Han Li, Hu Han, Zeju Li, Lei Wang, Zhe Wu, Jingjing Lu, S. Kevin Zhou

IEEE Trans. Medical Imaging, 2020

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, Jinhua Yu, Wei Guo, Zeju Li

J. Medical Imaging Health Informatics, 2019

Early identification of ischemic stroke in noncontrast computed tomography.

Guoqing Wu, Jixian Lin, Xi Chen, Zeju Li, Yuanyuan Wang, Jing Zhao, Jinhua Yu

Biomed. Signal Process. Control., 2019

Deep Generative Adversarial Networks for Thin-Section Infant MR Image Reconstruction.

Jiaqi Gu, Zeju Li, Yuanyuan Wang, Haowei Yang, Zhongwei Qiao, Jinhua Yu

IEEE Access, 2019

Encoding CT Anatomy Knowledge for Unpaired Chest X-ray Image Decomposition.

Zeju Li, Han Li, Hu Han, Gonglei Shi, Jiannan Wang, Shaohua Kevin Zhou

Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2019, 2019

Overfitting of Neural Nets Under Class Imbalance: Analysis and Improvements for Segmentation.

Zeju Li, Konstantinos Kamnitsas, Ben Glocker

Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2019, 2019

2018

Left Ventricle Segmentation via Optical-Flow-Net from Short-Axis Cine MRI: Preserving the Temporal Coherence of Cardiac Motion.

Wenjun Yan, Yuanyuan Wang, Zeju Li, Rob J. van der Geest, Qian Tao

Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2018, 2018

A Multi-Scope Convolutional Neural Network for Automatic Left Ventricle Segmentation from Magnetic Resonance Images: Deep-Learning at Multiple Scopes.

Xinyi Li, Yuanyuan Wang, Wenjun Yan, Rob J. van der Geest, Zeju Li, Qian Tao

Proceedings of the 11th International Congress on Image and Signal Processing, 2018

2017

Brain Tumor Segmentation Using an Adversarial Network.

Zeju Li, Yuanyuan Wang, Jinhua Yu

Proceedings of the Brainlesion: Glioma, Multiple Sclerosis, Stroke and Traumatic Brain Injuries, 2017

Reconstruction of Thin-Slice Medical Images Using Generative Adversarial Network.

Zeju Li, Yuanyuan Wang, Jinhua Yu

Proceedings of the Machine Learning in Medical Imaging - 8th International Workshop, 2017