现任人工智能与网络搜索教研中心主任，IEEE高级会员，中国研究型医院学会超声医学专业委员会副主任，中国计算机学会（CCF）计算机视觉专业委员会委员，博士生导师，副教授。1996年获山东大学学士学位，1999年3月与2002年7月分别获北京邮电大学信息工程学院工学硕士和博士学位，2007年7月至2008年7月在美国卡耐基梅隆大学计算机学院做访问学者。目前研究的主要领域有：医疗图像智能识别、计算机视觉和模式识别。承担或参与国家自然基金面上项目、国家重大专项、北京市科委重点项目、横向项目40余项，发表包括国际级顶级期刊TPAMI, SCIENCE, IJCV, JACC, TIP,  NeurIPS, CVPR, ICCV, ECCV, AAAI, IJCAI, ACM MM 在内的论文140多篇，所指导的创业项目“小学宝”获2017年第三届中国“互联网+”大学生创新创业大赛北京赛区一等奖，2018年获第四届中国“互联网+”大学生创新创业大赛铜奖， 分别于2016年和2024年获北京邮电大学校级优秀博士论文指导教师。

部分科研项目:

1.        抑郁症精准医学研究队列，科技创新2030（十四五），2024.06-2026.11，子课题负责人，项目编号：2021ZD0200601

2.        冠脉造影的智能诊断与三维重建，国家自然基金面上项目，2021.1-2024.12，项目负责人，项目编号：62076034

3.        跨域面部动作单元检测，国家自然基金面上项目，2021.1-2024.12，项目主研人，项目编号：62076036

4.        基于同地点场景稠密匹配的恶劣天气道路场景解析，国家自然科学基金青年科学基金项目（合作），2019.1-2021.12，项目负责人，项目编号：61806184

5.        冠脉造影图像的智能识别与辅助诊断系统的研发，北京市科委重点项目，2018.1-2021.12，项目负责人，项目编号：Z181100001918005

6.        弱监督谱聚类学习及其在百万级面部表情自动检测技术中的应用，国家自然基金项目，2017.9-2021.12，项目主研人，项目编号：61701032；

7.        基于深度学习的心血管造影图像的识别与判读，横向课题，2016.9-2019.9，项目负责人，项目编号：A2016137；

8.        草图的文本描述及其图像检索算法，国家自然基金青年基金，2016.9-2019.12，项目主研人，项目编号：61601042

9.        基于认知的图像不变特征提取，国家自然基金项目，2012-2016，项目负责人，项目编号：61175011；

10.    视频摘要及应用系统，横向课题，2015.1-2017.1，项目负责人，项目编号：A2015008；

近期发表的主要论著目录

(1) 部分国际期刊

[1]   Lan Yang, Kaiyue Pang, Honggang Zhang, and Yi-Zhe Song, Annotation-Free Human Sketch Quality Assessment, International Journal of Computer Vision (IJCV), 2024

[2]   Xiaolin Song, Binghui Chen, Pengyu Li, Biao Wang, Honggang Zhang, PRNet++: Learning towards generalized occluded pedestrian detection via progressive refinement network, Neurocomputing, 482:98-115, 2022

[3]   Xuqing Liu, Yunfei Huang, Lihua Xie, Xiaofei Wang, Changdong Guan, Tianming Du, Donghao Chen, Tongqiang Zou, Zhenpeng Shi, Ang Li, Senxiang Zhao, Yang Xu, Honggang Zhang, Bo Xu. Automatic construction of coronary artery tree structure based on vessel blood flow tracking. Catheterization and Cardiovascular Interventions, 2022; 1- 8. doi:10.1002/ ccd.30061

[4]   Tianming Du, Honggang Zhang, Yuemeng Li, Stephen Pickup, Mark Rosen, Rong Zhou, Hee Kwon Song, Yong Fan, Adaptive convolutional neural networks for accelerating magnetic resonance imaging via k -space data interpolation, Medical Image Analysis, 72 (2021) 102098

[5]   Shi Pu, Yibing Song, Chao Ma, Honggang Zhang, Ming-Hsuan Yang, Learning Recurrent Memory Activation Networks for Visual Tracking, IEEE Transactions on Image Processing, Vol. 30 725-738, 2021

[6]   Yue Zhong, Yonggang Qi, Yulia Gryaditskaya, Honggang Zhang, Yi-Zhe Song, Towards Practical Sketch-based 3D Shape Generation: The Role of Professional Sketches, IEEE Transactions on Circuits and Systems for Video Technology, 31(9):3518-3528, 2021

[7]   Tianming Du, Lihua Xie, Honggang Zhang, Xuqing Liu, Xiaofei Wang, Donghao Chen, Yang Xu, Zhongwei Sun, Wenhui Zhou, Lei Song, Changdong Guan, A.J. Lansky, Bo Xu, Automatic and multimodal analysis for coronary angiography: training and validation of a deep learning architecture, EuroIntervention, 17(1):32-+, 2021

[8]   Shuai Di, Qi Feng, Chun-Guang Li, Honggang Zhang, Chiu C. Tan, and Haibin Ling, Rainy Night Scene Understanding with Near-Scene Semantic Adaptation, IEEE Transactions on Intelligent Transportation Systems , 22(3):1594-1602, 2021

[9]   Jin Feng, Peng Xu, Shi Pu, Kaili Zhao, Honggang Zhang, Robust Visual Tracking by Embedding Combination and Weighted-Gradient Optimization, Pattern Recognition, 104(2020) 107339, 2020

[10] Ke Li, Kaiyue Pang, Yi-Zhe Song, Tao Xiang, Timothy M Hospedales, Honggang Zhang， Towards Deep Universal Sketch Perceptual Grouper, IEEE Transactions on Image Processing, 28(7): 3219-3231, 2019

[11] Ke Li, Kaiyue Pang, Yi-Zhe Song, Timothy M. Hospedales, Tao Xiang, Honggang Zhang, Synergistic Instance-Level Subspace Alignment for Fine-Grained Sketch-based Image Retrieval, IEEE Transactions on Image Processing, 26(12):4157-4167, 2017.

[12] Jianlou Si, Honggang Zhang, Chunguang Li, Jun Guo, Spatial Pyramid based Statistical Features for Person Re-Identification: A Comprehensive Evaluation, IEEE Trans. Systems, Man, and Cybernetics: Systems, 48 (7) :1140-1154, 2018.

[13] Shuai Di, Honggang Zhang, Chun-Guang Li, Xue Mei, Danil Prokhorov, and Haibin Ling. Cross-domain traffic scene understanding: a dense correspondence based transfer learning approach, IEEE Transactions on Intelligent Transportation Systems, 19 (3) :745-757, 2018

[14] Kaili Zhao, Wen-sheng Chu, Fernando De la Torre, Jeff F. Cohn, Honggang Zhang, Joint Patch and Multi-Label Learning for Facial Action Unit Detection and Holitic Facial Expression, IEEE Transactions on Image Processing, 25(8):3931-3946, 2016.

[15] Zhanyu Ma, Andrew E. Teschendorff, Arne Leijon, Yuanyuan Qiao, Honggang Zhang, and Jun Guo,Variational Bayesian Matrix Factorization for Bounded Support Data, IEEE trans. Pattern Analysis and Machine intelligence, 37(4):876-889, 2015.

[16] Kaili Zhao, Honggang Zhang, Zhanyu Ma, Yi-Zhe Song, Jun Guo. Multi-label learning with prior knowledge for facial expression analysis. Neurocomputing，157:280–289, 2015.

[17] Yonggang Qi, Jun Guo, Yi-Zhe Song, Tao Xiang, Honggang Zhang, and Zheng-hua Tan. Im2Sketch: Sketch Generation by Unconflicted Perceptual Grouping. Neurocomputing，165:338-349, 2015.

[18] Honggang Zhang, Kaili Zhao, Yizhe Song, Jun Guo, Text Extraction from Natural Scene Image : A Survey, Neurocomputing, 122(25):310-323, 2013.

[19] Honggang Zhang, Weihong Deng, Jun Guo, Yang Jie, Locality Preserving and Global Discriminant Projection with Prior Information, Machine Vision and Applications, 21(4):577-585, 2010.

[20] Weihong Deng, Jun Guo, Jiani Hu, Honggang Zhang, Comment on "100% accuracy in automatic face recognition", SCIENCE, Vol. 321, Issue: 5891, AUG 15 2008.

(2) 部分国际会议论文

[1]   PeiwenSun, Honggang Zhang, and Di Hu, Unveiling and Mitigating Bias in Audio Visual Segmentation,  in Proceedings of the ACM Multimedia (ACM MM), 2024(Oral, 3.95%)

[2]   Yaoting Wang*, PeiwenSun*, Dongzhan Zhou*, Guangyao Li, Honggang Zhang, and Di Hu, Ref-AVS: Refer and Segment Objects in Audio-Visual Scenes,  in Proceedings of the IEEE/CVF European Conference on Computer Vision (ECCV), 2024

[3]   Yaoting Wang*, PeiwenSun*, Yuanchao Li, Honggang Zhang, and Di Hu, Can Textual Semantics Mitigate Sounding Object Segmentation Preference?, in Proceedings of the IEEE/CVF European Conference on Computer Vision (ECCV), 2024

[4]   Runqi Qiao, Lan Yang, Kaiyue Pang, and Honggang Zhang, Making Visual Sense of Oracle Bones for You and Me, in Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR), 2024.

[5]   Zhiyu Qu, Lan Yang, Honggang Zhang, Tao Xiang, Kaiyue Pang, Yi-Zhe Song, Wired Perspectives: Multi-View Wire Art Embraces Generative AI, in Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR), 2024.

[6]   Ruolin Yang, Da Li, Conghui Hu, Hospedales Timothy, Honggang Zhang, Yi-Zhe Song, Sketch-based Video Object Segmentation: Benchmark and Analysis, in Proc. British Machine Vision Conference (BMVC), Nov. 2023

[7]   Xiaolin Song, Binghui Chen, Pengyu Li, Jun-Yan He, Biao Wang, Yifeng Geng, Xuansong Xie, Honggang Zhang, Optimal Proposal Learning for Deployable End-to-End Pedestrian Detection, in Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR), June. 18-22, 2023

[8]   Luya Wang, Feng Liang, Yangguang Li, Wanli Ouyang, Honggang Zhang, Jing Shao, Repre: Improving self-supervised vision transformer with reconstructive pre-training, in Proc. International Joint Conference on Artificial Intelligence (IJCAI), Jul. 23-29, 2022

[9]   Lan Yang, Kaiyue Pang, Honggang Zhang, Yi-Zhe Song, Finding Badly Drawn Bunnies, in Proc. of IEEE Conference on Computer Vision and Pattern Recognition(CVPR), New Orleans, Louisiana, USA, Jun. 19-23, 2022

[10] Lan Yang, Kaiyue Pang, Honggang Zhang, Yi-Zhe Song, SketchAA: Abstract Representation for Abstract Sketches, in Proc. of International Conference on Computer Vision (ICCV), Canada, Oct. 11-17, 2021

[11] Yang Tang, Wangding Zeng, Honggang Zhang, PIAP-DF: Pixel-Interested and Anti Person-Specific Facial Action Unit Detection Net with Discrete Feedback Learning, in Proc. of International Conference on Computer Vision (ICCV), Canada, Oct. 11-17, 2021

[12] Xiaolin Song, Kaili Zhao, Wen-sheng Chu, Honggang Zhang, Jun Guo, Progressive Refinement Network for Occluded Pedestrian Detection, in Proc. European Conference on Computer Vision (ECCV), Aug. 23-28, 2020

[13] Lan Yang, Aneeshan Sain, Linpeng Li,Yonggang Qi, Honggang Zhang, Yi-Zhe Song, S³NET: Graph Representational Network for Sketch Recognition, In Proc. of IEEE International Conference on Multimedia and Expo (ICME), London, United Kingdom, Jul. 6-10, 2020.

[14] Junjian Zhang, Chun-Guang Li, Chong You, Xianbiao Qi, Honggang Zhang, Jun Guo, Zhouchen Lin, Self-Supervised Convolutional Subspace Clustering Network, in Proc. of IEEE Conference on Computer Vision and Pattern Recognition(CVPR), Long Beach, USA, Jun. 16-20, 2019.

[15] K. Pang, Ke. Li, Y. Yang, Honggang Zhang, T. Hospedales, T. Xiang and Y. Song, Generalising Fine-Grained Sketch-Based Image Retrieval, in Proc. of IEEE Conference on Computer Vision and Pattern Recognition(CVPR), Long Beach, USA, Jun. 16-20, 2019.

[16] Shi Pu, Yibing Song, Chao Ma, Honggang Zhang, Ming-Hsuan Yang, Deep Attentive Tracking via Reciprocative Learning, in Neural Information Processing Systems(NeurIPS), 2018

[17] Ke. Li, K. Pang, J. Song, Y. Song, T. Xiang and Honggang Zhang, Universal Sketch Perceptual Grouping, in Proc. European Conference on Computer Vision (ECCV), Munich, Germany, September 2018

[18] Jianlou Si, Honggang Zhang, Chunguang Li, et al. Dual Attention Matching Network for Context-Aware Feature Sequence based Person Re-Identification. IEEE Conference on Computer Vision and Pattern Recognition (CVPR) Salt Lake City, USA, June. 2018.

[19] Fei Wang, Mengqing Jiang, Chen Qian, Shuo Yang, Cheng Li, Honggang Zhang, Xiaogang Wang, Xiaoou Tang, Residual Attention Network for Image Classification, in Proc. of IEEE Conference on Computer Vision and Pattern Recognition(CVPR), Hawaii, USA, Jul. 21-26, 2017.

[20] Kaili Zhao, Wen-sheng Chu, Honggang Zhang. Deep Region and Multi-label Learning for Facial Action Unit Detection, in Proc. of IEEE Conference on Computer Vision and Pattern Recognition(CVPR), Les Vegas, USA, Jun. 27-30, 2016.

[21] Chun-Guang Li, Zhouchen Lin, Honggang Zhang, and Jun Guo: Learning Semi-Supervised Representation Towards a Unified Optimization Framework for Semi-Supervised Learning, in Proc. of International Conference on Computer Vision (ICCV), Santiago, Chile, Dec. 13-16, 2015.

[22] Yonggang Qi, Yi-Zhe Song, Tao Xiang, Honggang Zhang, Timothy Hospedales, Yi Li and Jun Guo. Making Better Use of Edges via Perceptual Grouping. in Proc. of IEEE Conference on Computer Vision and Pattern Recognition(CVPR), Boston, USA, Jun. 7-12, 2015.

[23] Kaili Zhao, Wen-Sheng Chu, Fernando De la Torre, Jeffrey F. Cohn, Honggang Zhang, Joint Patch and Multi-label Learning for Facial Action Unit Detection, in Proc. of IEEE Conference on Computer Vision and Pattern Recognition(CVPR), Boston, USA, 7-12, 2015.