| 2026 | AAAI | 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 |
| 2026 | ACL | Solve-Detect-Verify: Inference-Time Scaling with Flexible Generative Verifier. | Jianyuan Zhong, Zeju Li, Zhijian Xu, Xiangyu Wen, Kezhi Li, Qiang Xu |
| 2026 | SIGGRAPH | AGILE: Hand-object Interaction Reconstruction from Video via Agentic Generation. | Jin-Chuan Shi, Binhong Ye, Tao Liu, Xiaoyang Liu, Yangjinhui Xu, Junzhe He, Zeju Li, Hao Chen, Chunhua Shen |
| 2025 | EMNLP | 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 |
| 2025 | EMNLP | Dyve: Thinking Fast and Slow for Dynamic Process Verification. | Jianyuan Zhong, Zeju Li, Zhijian Xu, Xiangyu Wen, Qiang Xu |
| 2025 | ICLR | DeepRTL: Bridging Verilog Understanding and Generation with a Unified Representation Model. | Yi Liu, Changran Xu, Yunhao Zhou, Zeju Li, Qiang Xu |
| 2025 | MICCAI | VAP-Diffusion: Enriching Descriptions with MLLMs for Enhanced Medical Image Generation. | Peng Huang, Junhu Fu, Bowen Guo, Zeju Li, Yuanyuan Wang, Yi Guo |
| 2023 | ICALT | Multi-Source Education Knowledge Graph Construction and Fusion for College Curricula. | Zeju Li, Linya Cheng, Chunhong Zhang, Xinning Zhu, Hui Zhao |
| 2023 | MICCAI | Robustness Stress Testing in Medical Image Classification. | Mobarakol Islam, Zeju Li, Ben Glocker |
| 2023 | MICCAI | 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 |
| 2022 | ECCV | 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 |
| 2022 | MICCAI | MaxStyle: Adversarial Style Composition for Robust Medical Image Segmentation. | Chen Chen, Zeju Li, Cheng Ouyang, Matthew Sinclair, Wenjia Bai, Daniel Rueckert |
| 2022 | MICCAI | Estimating Model Performance Under Domain Shifts with Class-Specific Confidence Scores. | Zeju Li, Konstantinos Kamnitsas, Mobarakol Islam, Chen Chen, Ben Glocker |
| 2022 | MICCAI | 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 |
| 2022 | MICCAI | 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 |
| 2022 | VTC | 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 |
| 2019 | MICCAI | Overfitting of Neural Nets Under Class Imbalance: Analysis and Improvements for Segmentation. | Zeju Li, Konstantinos Kamnitsas, Ben Glocker |
| 2019 | MICCAI | Encoding CT Anatomy Knowledge for Unpaired Chest X-ray Image Decomposition. | Zeju Li, Han Li, Hu Han, Gonglei Shi, Jiannan Wang, Shaohua Kevin Zhou |
| 2018 | MICCAI | 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 |
| 2017 | MICCAI | Reconstruction of Thin-Slice Medical Images Using Generative Adversarial Network. | Zeju Li, Yuanyuan Wang, Jinhua Yu |
| 2017 | MICCAI | Brain Tumor Segmentation Using an Adversarial Network. | Zeju Li, Yuanyuan Wang, Jinhua Yu |