张妮，西安交通大学助理教授，西安交通大学青年优秀人才支持计划，隶属于智能网络与网络空间安全教育部重点实验室。博士毕业于西北工业大学。主持国家自然科学基金青年基金项目等项目2项。研究方向包括计算机视觉、显/隐性视觉感知、智慧医疗等。发表高水平期刊和会议论文10余篇，其中CCF-A类10篇，谷歌学术被引1700余次，获授权发明专利1项。担任国际顶级会议CVPR、ICCV、ECCV、ACM MM、AAAI以及国际权威期刊TPAMI、TIP、TMM、TCSVT等审稿人。

1. 多模态显/隐性视觉感知：RGB-(D)显著性检测/分割、隐蔽物体检测/分割、协同显著性检测/分割

2. 意图感知：行人过街意图识别、社交媒体意图识别

3. 多模态大模型：基于多模态大模型的视觉细粒度理解
   

• 2025.03 ~ 至今，西安交通大学，计算机科学与技术学院，助理教授，团队：MCIA Lab

• 2017.09 ~ 2024.12，西北工业大学，自动化学院，博士学位，导师：韩军伟教授

• 2024.03 ~ 2024.06，航天三院，实习生

• 2018.06 ~ 2019.06，TCL合作项目，实习生

邮箱：nizhang@xjtu.edu.cn

地址：西安交通大学 兴庆校区 彭康楼

谷歌学术：https://scholar.google.com/citations?user=eA7v5CIAAAAJ&hl=zh-CN

招生：

欢迎2027年保研、考研的同学、实习合作的同学联系我~  团队每年有4~5个硕士名额和1~2个博士名额。

邮件格式为“2027保研/2027考研/科研实习申请-专业班级(本校同学)/学校(外校同学)-姓名”。

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