基本信息

• 职称：教授（博士生导师、硕士生导师）

• 研究方向：计算机视觉、模式识别

• 电子邮箱： zhen.cui@bnu.edu.cn

个人简介

曾入选国家高层次青年人才计划，并获得江苏省杰出青年基金资助。研究涉及计算机视觉、模式识别等领域，近期主要聚焦于概率分布学习（扩散模型、概率流等）、图深度学习（Graph Deep Learning）与深度强化学习等理论/技术方向，及其在多模态内容感知与生成（如视频异常分析、网络多媒体理解、视频生成等）和AI4Science等方面的应用。以第一作者/通讯作者身份，在Nature子刊、IEEE汇刊及CCF A类会议上发表论文近百篇，Google学术引用累计逾万次。

教育工作经历

• 2009年—2014年  中科院计算所 计算机科学与技术专业  博士

• 2017年—2024年  南京理工大学计算机学院   教授

• 2025年—至今   北京师范大学人工智能学院  教授

主持和参加的科研项目

• 遥感小样本异构信息下目标感知理解方法研究，国家自然科学基金面上项目，62476133，2025.01-2028.12，主持多模态内容感知与生成，中央高校科研经费，2025.01-2029.12，主持

• 智慧城市视觉大模型技术范式研发项目, 横向，2025.04-2028.04，主持

• 无人机视觉数据分析研发项目，横向，2025.09-2028.09，主持

• 图建模学习及其视觉应用研究，国家自然科学基金面上项目，62072244，2021.01-2024.12，主持，结题 

• 递归建模理论与方法及其在人脸分析中的应用研究，国家自然科学基金面上项目，61772276，2018.01-2021.12，主持，结题

• 动态复杂数据的表示学习理论与技术，江苏省杰出青年基金项目，BK20190019，2019.07-2022.06，主持，结题

• 工业视觉中的异常目标检测关键技术研究，阿里巴巴创新研究计划(AIR)项目，2020.10-2021.10，主持，结题

• 面向复杂任务的数据表示技术，41412020101，预研项目，2017.09-2020.12，主持，结题

• 稀疏流形建模及其在视频人脸识别中的应用, 国家自然科学基金青年项目，61202297, 2013.01-2015.12，主持，结题。

主要学术成果

(更多信息请参考： https://vgg-ai.cn/ 或者

https://scholar.google.com/citations?user=ChRyl3kAAAAJ&hl=en)

近期部分会议论文

• Fuyun Wang, Yuanzhi Wang, Xu Guo, Sujia Huang, Tong Zhang, Dan Wang, Hui Yan, Xin Liu, Zhen Cui. Mixture Prototype Flow Matching for Open-Set Supervised Anomaly Detection, International Conference on Machine Learning (ICML), 2026.

• Fuyun Wang, Yuanzhi Wang, Xu Guo, Sujia Huang, Tong Zhang, Dan Wang, Xin Liu, Hui Yan, Zhen Cui. Anomaly-Preference Image Generation, International Conference on Machine Learning (ICML), 2026.

• Runlong Cao, Ying Zang, Chuanwei Zhou, Tianrun Chen, Tong Zhang, Zhen Cui, Chunyan Xu. Learning to Label: A Reinforced Self-Evolving Framework for Semi-supervised Referring Expression Segmentation, International Conference on Machine Learning (ICML), 2026.

• Sujia Huang, Lele Fu, Shunxin Xiao, Xiaoya Zhang, Chunyan Xu, Tong Zhang, Bo Huang, Zhen Cui. Homophily-Heterogeneity Gradient Surgery for Federated Graph Learning, International Conference on Machine Learning (ICML), 2026.

• Yuanzhi Wang, Xuhua Ren, Jiaxiang Cheng, bing ma, Kai Yu, Tianxiang Zheng, Qinglin Lu, Zhen Cui. Implicit Preference Alignment for Human Image Animation, International Conference on Machine Learning (ICML), 2026.

• Ziqi Gu, Yangguang Liu, Wenxuan Fang, Baotong Su, Dan Wang, Tong Zhang, Chunyan Xu, Zhen Cui. Parameter-Masked Decoupled Optimization for Cross-Domain Class-Incremental Learning, International Conference on Machine Learning (ICML), 2026.

• Ziqi Gu, Chunyan Xu, Wenxuan Fang, Yide Qiu, Xin Liu, Zhen Cui. Learn and Ensemble Bridge Adapters for Multi-domain Task Incremental Learning, Nerual Information Processing Systems (NeurIPS), 2025.

• Xiaoliang Hu, Fuyun Wang, Tong Zhang, Zhen Cui. Value Diffusion Reinforcement Learning, Nerual Information Processing Systems (NeurIPS), 2025.

• Yide Qiu, Tong Zhang, Xing Cai, Hui Yan, Zhen Cui. One for All: Universal Topological Primitive Transfer for Graph Structure Learning, Nerual Information Processing Systems (NeurIPS), 2025.

• Yide Qiu, Tong Zhang, Shaoxiang Ling, Xing Cai, Ziqi Gu, Zhen Cui. UniHG: A Large-scale Universal Heterogeneous Graph Dataset and Benchmark for Representation Learning and Cross-Domain Transferring, Nerual Information Processing Systems (NeurIPS), 2025.

• Fuyun Wang, Tong Zhang, Yuanzhi Wang, Yide Qiu, Xin Liu, Xu Guo, Zhen Cui. Distribution Prototype Diffusion Learning for Open-set Supervised Anomaly Detection. IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 2025.

• Shuaizhen Yao, Xiaoya Zhang, Xin Liu, Mengyi Liu, Zhen Cui. STDD: Spatio-Temporal Dual Diffusion for Video Generation. IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 2025. 

近期部分期刊论文

• Xudong Wang, Tong Zhang, Zhen Cui, Xu Guo, Fuyun Wang, Yuanzhi Wang, Xing Cai and Wenming Zheng. Two-Dimensional Geometric Template Diffusion for Boosting Single-Sequence Protein Structure Prediction. Nature Machine Intelligence, 2026.

• Yuanzhi Wang, Zhen Cui, Mengyi Liu, Xiaoya Zhang, Zechao Li. Incomplete Multimodal Probability Flow Recovery for Emotion Recognition (T-PAMI), 2026.

• Yong Li, Yufei Sun, Zhen Cui, Pengcheng Shen, Shiguang Shan. Instance-Consistent Fair Face Recognition, IEEE Transactions on Pattern Analysis and Machine Intelligence (T-PAMI), 47(3), 5319-5335, 2025.

• Chunyan Xu, Shuaizhen Yao, Ziqiang Xu, Zhen Cui, Jian Yang. A Generalized Contour Vibration Model for Building Extraction. International Journal of Computer Vision (IJCV), vol. 133, pp:6025-6050, 2025.

• Tong Zhang, Guangbu Liu, Zhen Cui, Wei Liu, Wenming Zheng, Jian Yang. Wasserstein Discriminant Dictionary Learning for Graph Representation. IEEE Transactions on Pattern Analysis and Machine Intelligence (T-PAMI), 46(12):8619-8635, 2024.

• Zhen Cui, Ling Zhou, Chaoqun Wang, Chunyan Xu, and Jian Yang. Visual Micro-Pattern Propagation, IEEE Transactions on Pattern Analysis and Machine Intelligence (T-PAMI), 45(1):1267-1286, 2023.

• Ziqi Gu, Chunyan Xu, Yuanzhi Wang, Cao Han, Lei Zhang, Di Xia, Zhen Cui. Boosting Few-Shot Continual Learning via Self-Adaptive Evolution. IEEE Transactions on Image Processing (T-IP), 2026.

• Sujia Huang, Lele Fu, Zhaoliang Chen, Tong Zhang, Xiaoli Li, Zhen Cui. ADANet Adversarial Distribution Alignment Network for Multi-view Semi-supervised Classification. IEEE Transactions on Image Processing (T-IP), 2026.

• Xiaoliang Hu, Pengcheng Guo, Yadong Li, Guangyu Li, Zhen Cui, Jian Yang. TVDO: Tchebycheff Value-Decomposition Optimization for Multi-Agent Reinforcement Learning. IEEE Transactions on Neural Networks and Learning Systems (T-NNLS), 36(7):12521-12534, 2025.

• Xing Cai, Tong Zhang, Yide Qiu, Xudong Wang, Baotong Su, Zhen Cui. Minimum Description Length-Driven Fragment Mining for Pretraining Molecule Property Prediction Model. IEEE Transactions on Computational Biology and Bioinformatics (T-CBB). 2026.

• Yuanzhi Wang, Yong Li, Mengyi Liu, Xiaoya Zhang, Zhen Cui, Jian Yang. Training-Free Controllable Text-Guided Video Editing IEEE Transactions on Circuits and Systems for Video Technology (T-CSVT). 2026.

• Xing Cai, Tong, Zhang, Yide Qiu, Zhen, Cui. Fragment-Driven Progressive Alternating Diffusion for De Novo Molecular Design. IEEE Transactions on Computational Biology and Bioinformatics (T-CBB). 2025.

• Binhui Liu, Tianchu Guo, Bin Luo, Zhen Cui, Jian Yang. Cross-Attention Regression Flow for Defect Detection. IEEE Transactions on Image Processing (T-IP), 2024.

• Wenting Zhao, Gongping Xu, Long Wang, Zhen Cui, Tong Zhang, Jian Yang. Intra-Inter Graph Representation Learning for Protein-Protein Binding Sites Prediction. IEEE/ACM Transactions on Computational Biology and Bioinformatics (T-CBB), 2024.

• Xudong Wang, Tong Zhang, Guangbu Liu, Zhen Cui, Zhiyong Zeng, Cheng Long, Wenming Zheng, Jian Yang. LightRoseTTA: High-efficient and Accurate Protein Structure Prediction Using an Ultra-Lightweight Deep Graph Model, Advanced Science, 2024.

• Wenhua Zhang, Wenjing Deng, Zhen Cui, Jia Liu, Licheng Jiao. Object Knowledge Distillation for Joint Detection and Tracking in Satellite Videos, IEEE Transactions on Geoscience and Remote Sensing (T-GRS), 62, 2024.

奖励与荣誉

• 2023年获江苏省自然科学百篇优秀学术成果论文奖

• 2023年全国挑战杯决赛揭榜挂帅专项赛全国特等奖（指导老师）

• 2023年获中国航天科技集团科学技术进步二等奖

• 2023年获中国指挥与控制学会科学技术发明二等奖

• 2022年获IEEE Computer Society最佳论文奖

• 2020年入选国家高层次青年人才计划项目

• 2015年获得中国科学院优秀博士论文

指导学生项目

参加国内外重要学术赛事，获全国挑战杯决赛揭榜挂帅专项赛全国特等奖；国际CVPR会议遥感图像目标检测挑战赛冠军；跨越险阻(检测与环境建模)亚军等。

指导硕、博研究生毕业去向

高校、企业（阿里、华为等）、银行等。

招生说明

每年拟招收博士研究生1-2名(可直博)、硕士研究生2-4名。热忱欢迎计算机、数学、物理等相关学科的同学报考，尤其期待专业基础扎实、自我驱动、团队协作能力强、英文阅读写作能力突出的优秀学子加入。