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Brief Biography (个人简介)

Chen Gong is a full professor. He 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. 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, ICLR, CVPR, ICCV, ECCV, AAAI, IJCAI, ICDM, etc, and also holds 10+ granted inventory patents. He serves as the associate editor for IEEE T-CSVT, NN, NePL, FR and CJE, reviewer for more than 30 international journals such as AIJ, JMLR, IEEE T-PAMI, IJCV, IEEE T-NNLS, IEEE T-IP,IEEE T-KDE, and also the Area Chair/Senior PC member of several top-tier conferences such as ICML、ICLR、AAAI、IJCAI、ICDM、CIKM、ECML-PKDD, etc. He is the PI of Key Project and General Project of National Natural Science Foundation of China (NSFC). He received the "Wu Wen-Jun AI Excellent Youth Scholar Award", "Young Elite Scientists Sponsorship Program" of China Association for Science and Technology, the second prize of Natural Science Award of Chinese Institute of Electronics, the second prize of Natural Science Award of Shanghai City, "Hong Kong Scholar", and "Excellent Doctorial Dissertation award" by Shanghai Jiao Tong University (SJTU) and Chinese Association for Artificial Intelligence (CAAI). He was also selected to the Global Top Chinese Young Scholars in AI released by Baidu, and World's top 2% scientists list by Stanford University.

宫辰现任教授、博导；获中组部国家级青年人才计划。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, ICLR, CVPR, ICCV, ECCV, AAAI, IJCAI, ICDM等，另有10余项发明专利获得授权。 目前担任国际期刊IEEE T-CSVT、NN、NePL、FR、CJE编委，AIJ、JMLR、IEEE T-PAMI、IJCV、IEEE T-NNLS、IEEE T-IP、IEEE T-KDE等30余家国际权威期刊审稿人，以及ICML、ICLR、AAAI、IJCAI、ICDM、CIKM、ECML-PKDD等多个国际会议的Area Chair/Senior PC member。 主持国自然重点项目、面上项目等。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”、中国电子学会自然科学二等奖、上海市自然科学二等奖、中国人工智能学会“优秀博士学位论文”奖、上海交通大学“优秀博士学位论文”奖、“香江学者”等， 并入选百度发布的全球华人AI青年学者榜单、斯坦福大学发布的全球前2％顶尖科学家榜单。

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News (新闻)

• Two papers on LLM-based graph reasoning and similarity learning were accepted by ICML 2025!
  两篇关于大模型辅助的图上推理及相似性学习的论文被ICML 2025录用！

• I was invited to be a Senior PC Member for CIKM 2025
  我受邀担任CIKM 2025高级程序委员会成员

• I was recognized as an IET Fellow!
  我被授予英国工程技术学会会士！

• Two papers were accepted by CVPR 2025!
  两篇论文被CVPR 2025录用！

• I was invited to be an Area Chair for IJCAI 2025
  我受邀担任IJCAI 2025领域主席

• Our papers on OOD detection, PU learning and semi-supervised image segmentation were accepted by IEEE T-PAMI, IEEE T-NNLS and IEEE T-MI, respectively!
  关于OOD检测、PU学习、半监督图像分割的论文分别被IEEE T-PAMI、IEEE T-NNLS、IEEE T-MI录用！

• I was invited to be an Area Chair for ICML 2025
  我受邀担任ICML 2025领域主席

• Our paper "Large Language Models as an Indirect Reasoner: Contrapositive and Contradiction for Automated Reasoning" was accepted by COLING 2025!
  论文"Large Language Models as an Indirect Reasoner: Contrapositive and Contradiction for Automated Reasoning"被COLING 2025录用！

• Our paper "Traffic Pattern Sharing for Federated Traffic Flow Prediction with Personalization" wins ICDM-2024 Best Student Paper Runner-Up Award!
  论文"Traffic Pattern Sharing for Federated Traffic Flow Prediction with Personalization"获得ICDM-2024最佳学生论文提名奖！

• Our paper "Robust Learning under Hybrid Noise" was accepted by ACM TIST!
  论文"Robust Learning under Hybrid Noise"被ACM TIST录用！

• Our paper "SpliceMix: A Cross-scale and Semantic Blending Augmentation Strategy for Multi-label Image Classification" was accepted by IEEE T-MM!
  论文"SpliceMix: A Cross-scale and Semantic Blending Augmentation Strategy for Multi-label Image Classification"被IEEE T-MM录用！

• I was invited to be a Senior PC Member for PAKDD 2025
  我受邀担任PAKDD 2025高级程序委员会成员

• Our paper "Estimating Per-Class Statistics for Label Noise Learning" was accepted by IEEE T-PAMI!
  论文"Estimating Per-Class Statistics for Label Noise Learning"被IEEE T-PAMI录用！

• I was invited to be an Area Chair for AISTATS 2025
  我受邀担任AISTATS 2025领域主席

• Our paper "Traffic Pattern Sharing for Federated Traffic Flow Prediction with Personalization" was accepted by ICDM 2024!
  论文"Traffic Pattern Sharing for Federated Traffic Flow Prediction with Personalization"被ICDM 2024录用！

• I was invited to be an Area Chair for ICLR 2025
  我受邀担任ICLR 2025领域主席

• Our paper "Prototype Learning Guided Hybrid Network for Breast Tumor Segmentation in DCE-MRI" was accepted by IEEE T-MI!
  论文"Prototype Learning Guided Hybrid Network for Breast Tumor Segmentation in DCE-MRI"被IEEE T-MI录用！

• Two papers on weakly-supervised knowledge distillation were accepted by ECCV and IEEE T-IP!
  两篇关于弱监督知识蒸馏的论文被ECCV和IEEE T-IP录用！

• I was invited to be a Senior PC Member for AAAI 2025
  我受邀担任AAAI 2025高级程序委员会成员

• I was honarably recognized as "Outstanding Pilot of Student Pilot Program (SPP) of China Computer Federation (CCF)"!
  我获评中国计算机学会“2023-2024年度学生领航计划（SPP）优秀领航员”！

• Our paper "Adaptive Discriminative Regularization for Visual Classification" was accepted by IJCV!
  论文"Adaptive Discriminative Regularization for Visual Classification"被IJCV录用！

• I was honarably recognized as one of the Best Associate Editors (3 among 100+ AEs) of IEEE T-CSVT for the year of 2023!
  我有幸获评期刊IEEE T-CSVT 2023年度优秀编委（3/100+ AEs）！

• I was invited to be an editorial board member for Fundamental Research and Chinese Journal of Electronics
  我受邀担任期刊Fundamental Research及Chinese Journal of Electronics青年编委

• I was invited to be an Area Chair for ICDM 2024
  我受邀担任ICDM 2024领域主席

• Our papers on domain adaptation, OOD generalization and noisy semi-supervised learning were respectively accepted by IEEE T-CSVT, IJCV and PR!
  关于域适应、OOD泛化、带噪半监督学习的论文分别被IEEE T-CSVT、IJCV、PR录用！

• Our paper "Class-wise Contrastive Prototype Learning for Semi-Supervised Classification under Intersectional Class Mismatch" was accepted by IEEE T-MM!
  论文"Class-wise Contrastive Prototype Learning for Semi-Supervised Classification under Intersectional Class Mismatch"被IEEE T-MM录用！

• Our paper "Faster Nonconvex Low-rank Matrix Learning for Image Low-level and High-level Vision: A Unified Framework" was accepted by Information Fusion!
  论文"Faster Nonconvex Low-rank Matrix Learning for Image Low-level and High-level Vision: A Unified Framework"被Information Fusion录用！

• I was invited to be an Area Chair for ECML-PKDD 2024
  我受邀担任ECML-PKDD 2024领域主席

• Our paper "Easy-to-Hard Domain Adaptation with Human Interaction for Hyperspectral Image Classification" was accepted by IEEE T-GRS!
  论文"Easy-to-Hard Domain Adaptation with Human Interaction for Hyperspectral Image Classification"被IEEE T-GRS录用！

• Congratulations to Sheng Wan for winning "Outstanding PhD thesis" of the Chinese Institute of Electronics! Big Congrats!!
  祝贺万升获得中国电子学会优秀博士学位论文奖！

• Our paper "Robust Similarity Learning with Difference Alignment Regularization" was accepted by ICLR 2024!
  论文"Robust Similarity Learning with Difference Alignment Regularization"被ICLR 2024录用！

• I was invited to be an Area Chair for IEEE CAI 2024
  我受邀担任IEEE CAI 2024领域主席

• Congratulations to Zhuo Huang for winning "Outstanding Master thesis" of Jiangsu Province! Big Congrats!!
  祝贺黄琢获得江苏省优秀硕士学位论文奖！

• Our paper "Regularly Truncated M-estimators for Learning with Noisy Labels" was accepted by IEEE T-PAMI!
  论文"Regularly Truncated M-estimators for Learning with Noisy Labels"被IEEE T-PAMI录用！

• Our paper "SHaRPose: Sparse High-Resolution Representation for Human Pose Estimation" was accepted by AAAI 2024!
  论文"SHaRPose: Sparse High-Resolution Representation for Human Pose Estimation"被AAAI 2024录用！

• I was invited to be an SPC member for PAKDD 2024, and a reviewer for ICML 2024
  我受邀担任PAKDD 2024高级程序委员会成员、ICML 2024审稿人

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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。

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Sponsors (资助机构)