Prof. Chen Gong (宫辰)
Welcome to my homepage! 欢迎访问我的主页!
Professor, PhD Supervisor (教授、博导)
School of Computer Science and Technology
Nanjing University of Science and Technology
Address: Room 4030, Dingxin Building, Nanjing University of Science and Technology
No. 200, Xiaolingwei Street, Xuanwu, Nanjing, Jiangsu, China, 210094
[Google Scholar (谷歌学术)]
[University Website (学校主页)]
Opening Positions (研究岗位)
1. There are opening research positions in my group at all levels, including Postdoc, research assistant, Ph.D. student, and master student.
Please drop me an E-mail which contains your CV, score sheet, certificates, and representative publications if you are interested.
2. I'm always looking for self-motivated undergraduate students (mainly @NJUST) to join my group for research training!
Brief Biography (个人简介)
Chen Gong received his B.E. degree from East China University of Science and Technology (ECUST) in 2010, and dual doctoral degree from Shanghai Jiao Tong University (SJTU) and University of Technology Sydney (UTS) in 2016 and 2017, respectively.
Currently, he is a full professor in the School of Computer Science and Engineering, Nanjing University of Science and Technology.
He has published more than 90 technical papers at prominent journals and conferences such as IEEE T-PAMI, IEEE T-NNLS, IEEE T-IP, IEEE T-CYB, ICML, NeurIPS, CVPR, AAAI, IJCAI, ICDM, etc, and also holds six granted invention patents.
He also serves as the reviewer for more than 20 international journals such as AIJ, JMLR, IEEE T-PAMI, IEEE T-NNLS, IEEE T-IP,IEEE T-KDE, and also the SPC/PC member of several top-tier conferences such as ICML, NeurIPS, CVPR, AAAI, IJCAI, ICDM, etc.
He received the "Wu Wen-Jun AI Excellent Youth Scholar Award", "Young Elite Scientists Sponsorship Program" of China Association for Science and Technology, "Hong Kong Scholar", and "Excellent Doctorial Dissertation award" by Shanghai Jiao Tong University (SJTU) and Chinese Association for Artificial Intelligence (CAAI).
已在世界顶级期刊或会议上发表90余篇学术论文，主要包括IEEE T-PAMI, IEEE T-NNLS, IEEE T-IP, IEEE T-CYB, ICML, NeurIPS, CVPR, AAAI, IJCAI, ICDM等，另有6项发明专利获得授权。
目前担任AIJ、JMLR、IEEE T-PAMI、IEEE T-NNLS、IEEE T-IP、IEEE T-KDE等20余家国际权威期刊审稿人，并受邀担任ICML、NeurIPS、CVPR、IJCAI、AAAI、ICDM等多个国际会议的PC member。
I was selected as top 10% reviewer for NeurIPS 2020!
Yijing Luo, Yao Yao and Zongze Lu were awarded the national scholarship!
Our paper "Edge-Aware Graph Attention Network for Ratio of Edge-User Estimation in Mobile Networks" was accepted by ICPR 2020!
论文"Edge-Aware Graph Attention Network for Ratio of Edge-User Estimation in Mobile Networks"被ICPR 2020录用！
Our paper "Learning Data-adaptive Non-parametric Kernels" was accepted by JMLR!
论文"Learning Data-adaptive Non-parametric Kernels"被JMLR录用！
I was invited to be a reviewer for CVPR 2021
I was invited to be a reviewer for WACV 2021
New blood injected to our group! Welcome Shengwei ZHONG, Lei WANG, Zhenyuan CHEN, Yongliang DING, Hao XIANG!
I gave a talk at JSCC 2020
I was invited to be a sponsorship chair for PRCV 2020
I was invited to be a PC member for AAAI 2021
I was invited to be a PC member for AISTATS 2021
Our group won the 3rd place of CVPR 2020 Learning from Imperfect Data (LID) challenge (Track of Weakly-supervised Object Localization)!
I gave a talk at the workshop@CCDM 2020
The invention patent "A new method of multi lane detection" has been granted!
I was invited to be a SPC for IJCAI 2021
I was invited to be a reviewer for JMLR
The application for CCF-Tencent Open Fund has been approved!
Our paper "Coupled bilinear discriminant projection for cross-view gait recognition" was selected as a ESI highly cited paper!
论文"Coupled bilinear discriminant projection for cross-view gait recognition"被评选为ESI高被引论文（本领域世界前1%的论文）！
I will serve as a reviewer for ICLR 2021!
Our paper "Learning to acquire the quality of human pose estimation" was accepted by IEEE T-CSVT!
论文"Learning to acquire the quality of human pose estimation"被IEEE T-CSVT录用！
Our paper "Multi-modal curriculum learning for semi-supervised image classification" was selected as a ESI highly cited paper!
论文"Multi-modal curriculum learning for semi-supervised image classification"被评选为ESI高被引论文（本领域世界前1%的论文）！
My research interests lie in machine learning, data mining, and learning-based vision problems. Particularly, I'm interested in weakly-supervised learning and its applications, such as semi-supervised learning, positive-unlabeled learning, label noise learning, partial label learning, etc.