• 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]


Interns at MSRA
  • 2022.07 – present, Runkai Zheng, Master @ CUHK (Shenzhen).
  • 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.
Collaborating students
  • Ph.D students at ICT, CAS: Xin Qin, Wang Lu, Yuxin Zhang, Xiaohai Li, Shuo Ma.
  • Ph.D student at Institute of Acoustics, CAS: Han Zhu.
  • Master students at Tokyo Tech: Bowen Zhang.
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