Jindong Wang | Others

Conference organizer:
- IJCAI 2019 Publicity co-chair
- ICDM 2019 transfer learning session chair
Conference PC member:
- ML area: ICML (2022, 2021, 2020); NeurIPS (2022, 2021, 2020); ICLR (2022, 2021)
- AI area: AAAI (2022, 2021, 2020); IJCAI (2022)
- CV area: CVPR (2022, 2021); ICCV (2021); ECCV (2022)
- DM area: KDD (2021); WWW (2022, 2021), SDM (2022)
- HCI area: CHI (2021, 2019), UbiComp/IMWUT (2022, 2021, 2020, 2019), IEEE VAST (2020)
Journal reviewer: TPAMI, AI Journal, TKDE, TNNLS, TMM, TIP, TMC, ACM CSUR, ACM TIST, IEEE TBD, Knowledge-Based Systems, Neurocomputing, Pervasive and Mobile Computing.
Membership:
- Member of CCF technical committee pervasive computing (TCPC)
- Member of human computer interaction (TCHCI)
- CCF member.

Distinguished doctoral thesis award (中国科学院优秀博士学位论文奖) 2020.
Best Application Paper Award. IJCAI-19 Federated Machine Learning Workshop 2019.
Outstanding Scholarship of CAS president (中科院院长优秀奖) 2019.
Special scholarship of ICT (中科院计算所所长特别奖) 2019.
Student Scholarship. AAAI Conference on Artificial Intelligence (AAAI) 2019.
Student Travel Grant. ACM International Conference on Multimedia (ACMMM) 2018.
Outstanding Reviewer. Neurocomputing. 2018.
Best Paper. The 3rd International Conference on Crowd Science and Engineering (ICCSE) 2018.
Student Travel Award. International Conference on Machine Learning (ICML) 2018.
Student Scholarship. AAAI conference on Artificial Intelligence (AAAI) 2018.
National Scholarship for PhD students, Ministry of Education 2017.
Merit Student, UCAS 2017.
Second prize of Bewinner Innovation scholarship. 2017.
Excellent Graduate, NCUT 2014.
Excellent Bachelor’s Graduation Thesis, NCUT 2014.
Beijing Merit Student, Beijing City 2013.
National Scholarship (3x), Ministry of Education 2012, 2013, 2014.

Invited talk: Transfer learning: low-resource, generalization, and safety, at AI Time. Apr. 2022. [PDF] [Video] [Zhihu]
Invited talk: Recent advance in transfer learning, at Jiqizhixin. Jun. 2021. [PDF] [Video]
Invited course: Transfer learning, at Tsinghua University. Dec. 2019. (THU’s advanced machine learning course for EE graduates) [Class photo]
Invited talk: Transfer learning: challenges and methods, at Shandong University, Jinan, China. Oct. 2018.
Invited talk: Transfer learning methods, at Shenzhen University & Harbin Institute of Technology. Jun. 2018. [PDF] [Video]
Invited talk: Domain adaptation in transfer learning, at Extreme Vision, online. Dec. 14, 2017. [PDF] [Video]
Invited course: Transfer learning, at Leiphone, online. Nov. 4, 2017.
Invited course: On machine learning, at AI Salon at Shanghai Jiao Tong University, Shanghai, China. Sep. 16, 2017. [PDF] [Photo]
Invited course: Feature engineering in machine learning, at Zhihu Live, online. Mar. 19, 2017. [PDF] [Visit Live]
Invited course: Machine learning starter, at Zhihu Live, online. Dec. 22. [PDF] [Visit Live]

2021.11 – present, Yidong Wang, Master @ Tokyo Institute of Technology.
2021.06 – 2021.11, Wang Lu, Ph.D @ ICT, Chinese Academy of Sciences. Now: continue his Ph.D in ICT.
2020.12 – 2021.05, Wenxin Hou, Master @ Tokyo Institute of Technology. Now: SDE at Microsoft.
2020.10 – 2020.11, Danni Li, Bachelor @ City University of Hong Kong. Now: Amazon.
2020.05 – 2020.09, Yuntao Du, Ph.D @ Nanjing University. Now: continue his Ph.D in NJU.
2019.10 – 2020.01, Weixin Lu, Bachelor @ Peking University. Now: Master @ New York University.