Tongtong FANG | The University of Tokyo

About Me

I am a Ph.D. student in Machine Learning, supervised by Prof. Masashi Sugiyama at the University of Tokyo. I am currently working on transfer learning, especially using importance weighting for distribution shift problems.

Research Interests

Transfer Learning: importance weighting, domain adaptation, representation learning

News

[Dec. 2023] Our paper about generalized importance weighting will be presented at NeurIPS’23 as a spotlight presentation.

Publications

Generalizing Importance Weighting to A Universal Solver for Distribution Shift Problems

Tongtong Fang, Nan Lu, Gang Niu, Masashi Sugiyama

Thirty-seventh Conference on Neural Information Processing Systems (NeurIPS 2023).

PDF Code Spotlight
Rethinking Importance Weighting for Deep Learning under Distribution shift

Tongtong Fang*, Nan Lu*, Gang Niu, Masashi Sugiyama (*Equal contribution)

Thirty-fourth Conference on Neural Information Processing Systems (NeurIPS 2020).

PDF Code Spotlight
Rethinking Importance Weighting for Transfer Learning

Nan Lu, Tianyi Zhang, Tongtong Fang, Takeshi Teshima, Masashi Sugiyama

Federated and Transfer Learning (pp. 185-231), Springer International Publishing, 2022.

PDF As a book chapter

Experience

2021.11 - present Research Assistant, The University of Tokyo
2023.04 - 2025.04 JSPS Fellow (DC2), The Japan Society for the Promotion of Science (JSPS)
2018.11 - 2019.07 Research Intern, RIKEN Center for Advanced Intelligence Project (AIP)

Services

Conference Reviewers

ICML

NeurIPS

ICLR

AISTATS

ACML

Journal Reviewers

Machine Learning Journal, Transactions on Machine Learning Research, Neural Networks, Neural Processing Letters