代表性论文：

1. Ni Zhang, Nian Liu, Fang Nan, Junwei Han. CADC++: Advanced Consensus-Aware Dynamic Convolution for Co-Salient Object Detection. IEEE Transactions on Pattern Analysis and Machine Intelligence. 2024. (T-PAMI) CCF-A

2. Ni Zhang, Junwei Han, Nian Liu. Learning Implicit Class Knowledge for RGB-D Co-Salient Object Detection with Transformers. IEEE Transactions on Image Processing. 2022. (T-IP) CCF-A

3. Ni Zhang, Nian Liu, Junwei Han, Kaiyuan Wan, Ling Shao. Face De-occlusion with Deep Cascade Guidance Learning. IEEE Transactions on Multimedia. 2023. (T-MM) CCF-A

4. Ni Zhang, Junwei Han, Nian Liu, Ling Shao. Summarize and Search: Learning Consensus-aware Dynamic Convolution for Co-Saliency Detection. IEEE International Conference on Computer Vision. 2021. (ICCV) CCF-A

5. Ni Zhang, Xu Liu, Xiaoduo Jin, Chen Li, Xuan Wu, Shuqin Yang, JifengNing, Paul Yanne.  Determination of Total Iron-reactive Phenolics, Anthocyanins and Tannins in Wine Grapes of Skins and Seeds Based on Near-infrared Hyperspectral Imaging. Food Chemistry. 2017.

6. Nian Liu, Ni Zhang (共一), Kaiyuan Wan, Ling Shao, Junwei Han. Visual Saliency Transformer. IEEE International Conference on Computer Vision. 2021.  (ICCV) CCF-A

7. Nian Liu, Ni Zhang, Ling Shao, Junwei Han. Learning Selective Mutual Attention and Contrast for RGB-D Saliency Detection. IEEE Transactions on Pattern Analysis and Machine Intelligence. 2022. (T-PAMI) CCF-A

8. Nian Liu, Ni Zhang, Junwei Han. Learning Selective Self-Mutual Attention for RGB-D Saliency Detection. IEEE Conference on Computer Vision and Pattern Recognition. 2020. (CVPR) CCF-A

9. Nian Liu, Ziyang Luo, Ni Zhang, Junwei Han. VST++: Efficient and Stronger Visual Saliency Transformer. IEEE Transactions on Pattern Analysis and Machine Intelligence. 2024.  (T-PAMI) CCF-A

10. Long Li, Junwei Han, Ni Zhang, Nian Liu, Salman Khan, Hisham Cholakkal, Rao Muhammad Anwer, Fahad Shahbaz Khan. Discriminative Co-Saliency and Background Mining Transformer for Co-Salient Object Detection. IEEE Conference on Computer Vision and Pattern Recognition. 2023. (CVPR) CCF-A

11. Jiusong Ge, Yingkang Zhan, Wenjie Zhao, Di Zhang, Ke Wang, Jiashuai Liu, Chunze Yang, Ni Zhang, Qidong Liu, Chengzu Li, Jian Zhang, Mireia Crispin-Ortuzar, Chen Li, Zeyu Gao. Thinking in Scales: Continuous Reasoning for Whole-Slide Image Analysis. The Forty-Third International Conference on Machine Learning. 2026. (ICML) CCF-A