Chen Gong (宫辰)'s Homepage


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Chen Gong

Professor, PhD Supervisor (教授、博导)
School of Computer Science and Technology
Nanjing University of Science and Technology
南京理工大学计算机科学与工程学院

Address: Room 4030, Dingxin Building, Nanjing University of Science and Technology
No. 200, Xiaolingwei Street, Xuanwu, Nanjing, Jiangsu, China, 210094
通讯地址:中国江苏省南京市玄武区孝陵卫街200号南京理工大学鼎新楼4030室
邮编:210094

E-mail: chen.gong@njust.edu.cn
[Google Scholar (谷歌学术)] [University Website (学校主页)] [dblp]


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!

    1. 我的课题组目前有研究岗位若干,包括博士后、研究助理、博士、硕士等。如果您感兴趣,请将您的简历、成绩单、获奖证书、代表作发至我的邮箱。
    2. 十分欢迎优秀的本科生(主要面向本校同学)来我的课题组参加科研训练!


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 100 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", the second prize of Shanghai Natural Science Award, and "Excellent Doctorial Dissertation award" by Shanghai Jiao Tong University (SJTU) and Chinese Association for Artificial Intelligence (CAAI).
    宫辰现任南京理工大学计算机科学与工程学院教授、博导。于2010年获得华东理工大学学士学位,并分别于2016、2017年获上海交通大学和悉尼科技大学双博士学位。 已在世界顶级期刊或会议上发表100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。 曾获吴文俊人工智能优秀青年奖、中国科协“青年人才托举工程”、中国人工智能学会“优秀博士学位论文”奖、上海市自然科学二等奖、上海交通大学“优秀博士学位论文”奖、江苏省“六大人才高峰”、江苏省“双创博士”、江苏省科协“青年人才托举工程”、“香江学者”等。


News (新闻)

  • Our paper "Instance-Dependent Positive and Unlabeled Learning with Labeling Bias Estimation" was accepted by IEEE T-PAMI!
    论文"Instance-Dependent Positive and Unlabeled Learning with Labeling Bias Estimation"被IEEE T-PAMI录用!

  • I was invited to be a reviewer for ECML-PKDD 2021
    我受邀担任ECML-PKDD 2021审稿人

  • I gave a keynote speech at International Conference on Electronics, Circuits and Information Engineering 2021.
    我在ECIE 2021大会上作主旨报告

  • I was invited to be a reviewer for ICIP 2021
    我受邀担任ICIP 2021审稿人

  • Our paper "Robust Early-Learning: Hindering the Memorization of Noisy Labels" was accepted by ICLR 2021!
    论文"Robust Early-Learning: Hindering the Memorization of Noisy Labels"被ICLR 2021录用!

  • I was invited to be a reviewer for ICCV 2021
    我受邀担任ICCV 2021审稿人

  • Our paper "Cost-Sensitive Positive and Unlabeled Learning" was accepted by Information Sciences!
    论文"Cost-Sensitive Positive and Unlabeled Learning"被Information Sciences录用!

  • Jingchen Ke's thesis won "JSAI outstanding master thesis candidate" award
    柯京辰的硕士论文获得江苏省人工智能学会优秀硕士论文提名奖

  • I was invited to be a reviewer for IJCV
    我受邀担任IJCV审稿人

  • I gave a talk at Southeast University
    我在东南大学作学术报告

  • Our paper "Centroid Estimation with Guaranteed Efficiency: A General Framework for Weakly Supervised Learning" was accepted by IEEE T-PAMI!
    论文"Centroid Estimation with Guaranteed Efficiency: A General Framework for Weakly Supervised Learning"被IEEE T-PAMI录用!

  • I was invited to be a reviewer for ICML 2021
    我受邀担任ICML 2021审稿人

  • Hong Shi won the "Software Scholarship" of Jiangsu province!
    毕业生史红获得江苏软件奖学金!

  • Our papers "Contrastive and Generative Graph Convolutional Networks for Graph-based Semi-Supervised Learning", "Tackling Instance-Dependent Label Noise via a Universal Probabilistic Model" and "Learning with Group Noise" were accepted by AAAI 2021!
    课题组3篇论文"Contrastive and Generative Graph Convolutional Networks for Graph-based Semi-Supervised Learning"、"Tackling Instance-Dependent Label Noise via a Universal Probabilistic Model"、"Learning with Group Noise" 被AAAI 2021接收!

  • Our research on semi-supervised learning won the second prize of Shanghai Natural Science Award!
    我参与的研究荣获上海市自然科学二等奖(排名第2)!

  • Sheng Wan, Yijing Luo and Yao Yao received the “Excellent Postgraduate Award”!
    课题组万升、罗一京、姚垚(协同指导)获得“优秀研究生”称号!

  • I was selected as top 10% reviewer for NeurIPS 2020!
    我当选NeurIPS 2020前10%审稿人!

  • Yijing Luo, Yao Yao and Zongze Lu were awarded the national scholarship!
    课题组罗一京、姚垚(协同指导)、陆宗泽荣获国家奖学金!

  • 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
    我受邀担任CVPR 2021审稿人

  • I was invited to be a reviewer for WACV 2021
    我受邀担任WACV 2021审稿人

  • New blood injected to our group! Welcome Shengwei ZHONG, Lei WANG, Zhenyuan CHEN, Yongliang DING, Hao XIANG!
    课题组迎来新鲜血液!欢迎钟圣唯、王磊、陈震元、丁永良、向豪!

  • I gave a talk at JSCC 2020
    我在第九届江苏省计算机大会作学术报告

  • I was invited to be a sponsorship chair for PRCV 2020
    我受邀担任PRCV 2020赞助主席

  • I was invited to be a PC member for AAAI 2021
    我受邀担任AAAI 2021程序委员会成员

  • I was invited to be a PC member for AISTATS 2021
    我受邀担任AISTATS 2021程序委员会成员

  • Our group won the 3rd place of CVPR 2020 Learning from Imperfect Data (LID) challenge (Track of Weakly-supervised Object Localization)!
    团队获得CVPR 2020不完备数据竞赛弱监督目标定位项目季军!

  • I gave a talk at the workshop@CCDM 2020
    我在中国数据挖掘会议“低质量数据挖掘与学习”论坛作学术报告

  • The invention patent "A new method of multi lane detection" has been granted!
    发明专利《一种多车道线检测新方法》获得授权!

  • I was invited to be a SPC for IJCAI 2021
    我受邀担任IJCAI 2021高级程序委员会成员

  • I was invited to be a reviewer for JMLR
    我受邀担任国际期刊JMLR审稿人

  • The application for CCF-Tencent Open Fund has been approved!
    申请的CCF-腾讯犀牛鸟基金获批!

  • 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!
    我受邀担任ICLR 2021审稿人.

  • 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)!


Research (研究领域)

    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.
    我的研究方向主要为机器学习、数据挖掘及基于学习的计算机视觉问题。特别地,我关注弱监督学习方法及其应用,比如半监督学习、PU学习、标签噪声学习、偏标记学习等。


Sponsors (资助机构)

NSFC Ant-Financial CASC NJUST TENCENT