| 2026 | AAAI | PulseMind: A Multi-Modal Medical Model for Real-World Clinical Diagnosis. | Jiao Xu, Junwei Liu, Jiangwei Lao, Qi Zhu, Yunpeng Zhao, Congyun Jin, Shinan Liu, Zhihong Lu, Lihe Zhang, Xin Chen, Jian Wang, Ping Wang |
| 2025 | CVPR | Unified Medical Lesion Segmentation via Self-referring Indicator. | Shijie Chang, Xiaoqi Zhao, Lihe Zhang, Tiancheng Wang |
| 2025 | CVPR | Learning Dynamic Collaborative Network for Semi-supervised 3D Vessel Segmentation. | Jiao Xu, Xin Chen, Lihe Zhang |
| 2025 | ICLR | High-Precision Dichotomous Image Segmentation via Probing Diffusion Capacity. | Qian Yu, Peng-Tao Jiang, Hao Zhang, Jinwei Chen, Bo Li, Lihe Zhang, Huchuan Lu |
| 2025 | MICCAI | UniSegDiff: Boosting Unified Lesion Segmentation via a Staged Diffusion Model. | Yilong Hu, Shijie Chang, Lihe Zhang, Feng Tian, Weibing Sun, Huchuan Lu |
| 2024 | CVPR | Multi-View Aggregation Network for Dichotomous Image Segmentation. | Qian Yu, Xiaoqi Zhao, Youwei Pang, Lihe Zhang, Huchuan Lu |
| 2024 | CVPR | Towards Automatic Power Battery Detection: New Challenge, Benchmark Dataset and Baseline. | Xiaoqi Zhao, Youwei Pang, Zhenyu Chen, Qian Yu, Lihe Zhang, Hanqi Liu, Jiaming Zuo, Huchuan Lu |
| 2024 | ECCV | Open-Vocabulary Camouflaged Object Segmentation. | Youwei Pang, Xiaoqi Zhao, Jiaming Zuo, Lihe Zhang, Huchuan Lu |
| 2024 | ECCV | Catastrophic Overfitting: A Potential Blessing in Disguise. | Mengnan Zhao, Lihe Zhang, Yuqiu Kong, Baocai Yin |
| 2024 | ICML | Spider: A Unified Framework for Context-dependent Concept Segmentation. | Xiaoqi Zhao, Youwei Pang, Wei Ji, Baicheng Sheng, Jiaming Zuo, Lihe Zhang, Huchuan Lu |
| 2023 | ICCV | Referring Image Segmentation Using Text Supervision. | Fang Liu, Yuhao Liu, Yuqiu Kong, Ke Xu, Lihe Zhang, Baocai Yin, Gerhard P. Hancke, Rynson W. H. Lau |
| 2023 | ICCV | Adaptive Illumination Mapping for Shadow Detection in Raw Images. | Jiayu Sun, Ke Xu, Youwei Pang, Lihe Zhang, Huchuan Lu, Gerhard P. Hancke, Rynson W. H. Lau |
| 2023 | ICCV | Fast Adversarial Training with Smooth Convergence. | Mengnan Zhao, Lihe Zhang, Yuqiu Kong, Baocai Yin |
| 2023 | MICCAI | Progressively Coupling Network for Brain MRI Registration in Few-Shot Situation. | Zuopeng Tan, Hengyu Zhang, Feng Tian, Lihe Zhang, Weibing Sun, Huchuan Lu |
| 2022 | AAAI | Self-Supervised Pretraining for RGB-D Salient Object Detection. | Xiaoqi Zhao, Youwei Pang, Lihe Zhang, Huchuan Lu, Xiang Ruan |
| 2022 | BMVC | Semantics-Adding Flaw-Erasing Network for Semantic Human Matting. | Jiayu Sun, Zhanghan Ke, Ke Xu, Fan Shao, Lihe Zhang, Huchuan Lu, Rynson W. H. Lau |
| 2022 | CVPR | Zoom In and Out: A Mixed-scale Triplet Network for Camouflaged Object Detection. | Youwei Pang, Xiaoqi Zhao, Tian-Zhu Xiang, Lihe Zhang, Huchuan Lu |
| 2021 | CVPR | Encoder Fusion Network With Co-Attention Embedding for Referring Image Segmentation. | Guang Feng, Zhiwei Hu, Lihe Zhang, Huchuan Lu |
| 2021 | MICCAI | Automatic Polyp Segmentation via Multi-scale Subtraction Network. | Xiaoqi Zhao, Lihe Zhang, Huchuan Lu |
| 2020 | CVPR | Bi-Directional Relationship Inferring Network for Referring Image Segmentation. | Zhiwei Hu, Guang Feng, Jiayu Sun, Lihe Zhang, Huchuan Lu |
| 2020 | CVPR | Multi-Scale Interactive Network for Salient Object Detection. | Youwei Pang, Xiaoqi Zhao, Lihe Zhang, Huchuan Lu |
| 2020 | ECCV | Hierarchical Dynamic Filtering Network for RGB-D Salient Object Detection. | Youwei Pang, Lihe Zhang, Xiaoqi Zhao, Huchuan Lu |
| 2020 | ECCV | Suppress and Balance: A Simple Gated Network for Salient Object Detection. | Xiaoqi Zhao, Youwei Pang, Lihe Zhang, Huchuan Lu, Lei Zhang |
| 2020 | ECCV | A Single Stream Network for Robust and Real-Time RGB-D Salient Object Detection. | Xiaoqi Zhao, Lihe Zhang, Youwei Pang, Huchuan Lu, Lei Zhang |
| 2019 | CVPR | Multi-Source Weak Supervision for Saliency Detection. | Yu Zeng, Yun-Zhi Zhuge, Huchuan Lu, Lihe Zhang, Mingyang Qian, Yizhou Yu |
| 2019 | ICCV | Deep Learning for Light Field Saliency Detection. | Tiantian Wang, Yongri Piao, Huchuan Lu, Xiao Li, Lihe Zhang |
| 2019 | ICCV | Joint Learning of Saliency Detection and Weakly Supervised Semantic Segmentation. | Yu Zeng, Yun-Zhi Zhuge, Huchuan Lu, Lihe Zhang |
| 2018 | CVPR | Detect Globally, Refine Locally: A Novel Approach to Saliency Detection. | Tiantian Wang, Lihe Zhang, Shuo Wang, Huchuan Lu, Gang Yang, Xiang Ruan, Ali Borji |
| 2018 | CVPR | Learning to Promote Saliency Detectors. | Yu Zeng, Huchuan Lu, Lihe Zhang, Mengyang Feng, Ali Borji |
| 2017 | ICCV | A Stagewise Refinement Model for Detecting Salient Objects in Images. | Tiantian Wang, Ali Borji, Lihe Zhang, Pingping Zhang, Huchuan Lu |
| 2016 | ECCV | Kernelized Subspace Ranking for Saliency Detection. | Tiantian Wang, Lihe Zhang, Huchuan Lu, Chong Sun, Jinqing Qi |
| 2015 | ICIP | Visual tracking via guided filter. | Dandan Du, Huchuan Lu, Lihe Zhang, Fu Li |
| 2015 | ICIP | Visual tracking with astructured local model. | Minghao Sun, Dandan Du, Huchuan Lu, Lihe Zhang |
| 2013 | CVPR | Saliency Detection via Graph-Based Manifold Ranking. | Chuan Yang, Lihe Zhang, Huchuan Lu, Xiang Ruan, Ming-Hsuan Yang |
| 2013 | ICCV | Saliency Detection via Absorbing Markov Chain. | Bowen Jiang, Lihe Zhang, Huchuan Lu, Chuan Yang, Ming-Hsuan Yang |
| 2013 | ICCV | Saliency Detection via Dense and Sparse Reconstruction. | Xiaohui Li, Huchuan Lu, Lihe Zhang, Xiang Ruan, Ming-Hsuan Yang |
| 2012 | ICIP | Superpixel level object recognition under local learning framework. | Xuejiao Feng, Huchuan Lu, Lihe Zhang |
| 2012 | ICIP | Low-rank, sparse matrix decomposition and group sparse coding for image classification. | Lihe Zhang, Chen Ma |
| 2011 | ICIP | Online sparse learning utilizing multi-feature combination for image classification. | Lihe Zhang, Kunyu Zhang, Xiaoli Dong |
| 2007 | ISDA | A Video Watermarking Scheme Resistant to Synchronization Attacks Based on Statistics and Shot Segmentation. | Lihe Zhang, Gang Xu, Ji-jun Zhou, Lin-jie Shen |