Bo Han


News

  • Aug 2022: TMLR Group will jointly organize Online Asian Machine Learning School 2022.

  • Aug 2022: TMLR Group is honored to host TMLR Seminar Series provided by Dr. Rong (Tencent AI).

  • Aug 2022: TMLR Group is honored to host TMLR Seminar Series provided by Dr. Song (HKUST).

  • Aug 2022: TMLR Group is honored to host Online Seminar Series provided by Dr. Chen (IBM).

  • Aug 2022: I will be joining the Editorial Board of Machine Learning Journal.

  • Aug 2022: I will co-organize CIKM 2022 Tutorial on Learning and Mining with Noisy Labels.

  • Aug 2022: I will be serving as an Associate Editor of IEEE Transactions on Neural Networks and Learning Systems.

  • Jul 2022: TMLR Group is honored to host TMLR Seminar Series provided by Dr. Yao (THU).

  • Jul 2022: Yonggang Zhang and Yongqiang Chen are recognized as ICML'22 Outstanding Reviewer (Top 10%). Congratulations!

  • Jul 2022: I am honored to receive UAI'22 Top Reviewer.

  • Jul 2022: I am honored to remotely visit Microsoft Research AI for Science hosted by Dr. Qin (MSRA).

  • Jun 2022: I will give talks at XMU, SUSTech, SJTU, RUC, NEU and SEU.

  • Jun 2022: TMLR Group is honored to host TMLR Seminar Series provided by Dr. Huang (HKU).

  • Jun 2022: TMLR Group is honored to host TMLR Seminar Series provided by Dr. Farnia (CUHK).

  • Jun 2022: TMLR Group is honored to host TMLR Seminar Series provided by Dr. Li (UMD).

  • May 2022: TMLR Group is honored to host Online Seminar Series provided by Dr. Tang (HEC/MILA).

  • May 2022: TMLR Group is honored to receive Tencent AI Focused Research Award 2022.

  • Apr 2022: TMLR Group is honored to receive GDSTC Basic Research Fund 2022.

  • Apr 2022: TMLR Group is honored to host TMLR Seminar Series provided by Dr. Wei (CityU).

  • Mar 2022: I will be serving as an Area Chair of NeurIPS'22.

  • Mar 2022: TMLR Group is honored to host TMLR Seminar Series provided by Dr. Cheng (HKUST).

  • Mar 2022: I will co-organize IJCAI 2022 Challenge on Learning with Noisy Labels.

  • Feb 2022: RIKEN Team will author a ML monograph accepted by MIT Press.

  • Feb 2022: TMLR Group is honored to host Distinguished Lecture Series provided by Prof. Sugiyama (RIKEN/UTokyo).

  • Feb 2022: TMLR Group is honored to host Online Seminar Series provided by Dr. Xiao (ASU/Nvidia).

  • Feb 2022: TMLR Group is honored to receive Alibaba Innovative Research Award 2022.

  • Jan 2022: I will co-organize TrustML Young Scientist Seminars.

  • Jan 2022: I will be serving as an Area Chair of ICPR'22.

  • Dec 2021: I will be serving as an Action Editor of Transactions on Machine Learning Research.

  • Dec 2021: I will be serving as an Area Chair of ICML'22.

  • Dec 2021: I will be serving as a Senior Program Committee of KDD'22.

  • Dec 2021: TMLR Group is featured by HKBU CSD News.

  • Dec 2021: I will give talks at UQ and CityU.

  • Dec 2021: TMLR Group is honored to receive RIKEN Collaborative Research Fund 2021.

  • Dec 2020: Fei Zhang has been nominated for Hong Kong PhD Fellowship Scheme (HKPFS) by the Department. Congratulations!

  • Oct 2021: I will be serving as a Guest Editor of Frontiers in AI Special Issue on "Out-of-distribution Learning".

  • Oct 2021: TMLR Group is honored to receive MSRA StarTrack Program 2021 (with AI for Science team).

  • Sep 2021: I will be serving as an Action Editor of Neural Networks.

  • Sep 2021: I will co-organize ACML 2021 Workshop on Weakly Supervised Learning.

  • Aug 2021: I will co-organize ACML 2021 Tutorial on Learning under Noisy Supervision.

  • Aug 2021: I will give talks at Microsoft Research.

  • Jul 2021: TMLR Group is featured by HKBU CSD News.

  • Jul 2021: Qizhou Wang and Jianing Zhu are recognized as ICML'21 Best Reviewer (Top 10%). Congratulations!

  • Jul 2021: I will give talks at SJTU and THU.

  • Jul 2021: I will be serving as a Senior Program Committee of AAAI'21.

  • Jul 2021: I will be serving Program Committee Board of IJCAI'22-24.

  • Jun 2021: TMLR Group is honored to host Online Seminar Series provided by Dr. Dai (Google Brain).

  • Jun 2021: I will be serving as an Area Chair of ICLR'22.

  • May 2021: I am honored to receive ICLR'21 Outstanding Area Chair.

  • May 2021: I will be joining the Editorial Board of Journal of Machine Learning Research.

  • Apr 2021: I will co-organize IJCAI 2021 Tutorial on Learning with Noisy Supervision.

  • Apr 2021: I will be serving as a Guest Editor of Machine Learning Journal Special Issue on "Weakly Supervised Representation Learning".

  • Mar 2021: I will be serving as a Senior Program Committee of ACML'21.

  • Mar 2021: I will be serving as an Area Chair of NeurIPS'21.

  • Mar 2021: I will co-organize IJCAI 2021 Workshop on Weakly Supervised Representation Learning.

  • Mar 2021: I will co-organize the 1st Australia-Japan Workshop on Machine Learning.

  • Dec 2020: I will give talks at USYD and Alibaba Research.

  • Dec 2020: Jianing Zhu has been nominated for Hong Kong PhD Fellowship Scheme (HKPFS) by the University. Congratulations!

  • Oct 2020: I will be serving as a Senior Program Committee of IJCAI'21.

  • Sep 2020: TMLR Group is honored to receive NSFC Young Scientists Fund 2020.

  • Sep 2020: I am honored to receive ICML'20 Top Reviewer.

  • Aug 2020: I will co-organize ACML 2020 Workshop on Weakly-supervised Representation Learning.

  • Aug 2020: I will give talks at RIKEN AIP, SJTU, USTC, XDU and 4Paradigm Research.

  • Jul 2020: I will be serving as an Area Chair of ICLR'21.

  • Jun 2020: TMLR Group is honored to receive RGC Early CAREER Scheme 2020.

  • Mar 2020: I will be serving as an Area Chair of NeurIPS'20.

  • Mar 2020: TMLR Group is honored to receive RIKEN BAIHO Award 2019.

  • Jan 2020: I am currently recruiting strong and self-motivated PhD/RA/Visiting students and Postdoc researchers. Full scholarships are available. Meanwhile, I am happy to host remote trainee students. If you have interest in getting involved with my research, please send me an email. Also, please read this document for more information. Due to the large number of emails I receive, I cannot respond to every email individually. Thanks!