On the Minimal Supervision for Training Any Binary Classifier from Only Unlabeled Data. - Nan Lu 001; Gang Niu 001; Aditya Krishna Menon; Masashi Sugiyama (ICLR (Poster), 2019)

A One-step Approach to Covariate Shift Adaptation. - Tianyi Zhang; Ikko Yamane; Nan Lu 001; Masashi Sugiyama (ACML, 2020)

Mitigating Overfitting in Supervised Classification from Two Unlabeled Datasets: A Consistent Risk Correction Approach. - Nan Lu 001; Tianyi Zhang; Gang Niu 001; Masashi Sugiyama (AISTATS, 2020)

Rethinking Importance Weighting for Deep Learning under Distribution Shift. - Tongtong Fang; Nan Lu 001; Gang Niu 001; Masashi Sugiyama (NeurIPS, 2020)

Pointwise Binary Classification with Pairwise Confidence Comparisons. - Lei Feng 006; Senlin Shu; Nan Lu 001; Bo Han 003; Miao Xu 001; Gang Niu 001; Bo An 001; Masashi Sugiyama (ICML, 2021)

Binary Classification from Multiple Unlabeled Datasets via Surrogate Set Classification. - Nan Lu 001; Shida Lei; Gang Niu 001; Issei Sato; Masashi Sugiyama (ICML, 2021)

Rethinking Importance Weighting for Transfer Learning. - Nan Lu 001; Tianyi Zhang; Tongtong Fang; Takeshi Teshima; Masashi Sugiyama (CoRR, 2021)

Multi-class Classification from Multiple Unlabeled Datasets with Partial Risk Regularization. - Yuting Tang; Nan Lu 001; Tianyi Zhang; Masashi Sugiyama (ACML, 2022)

Federated Learning from Only Unlabeled Data with Class-conditional-sharing Clients. - Nan Lu 001; Zhao Wang 006; Xiaoxiao Li; Gang Niu 001; Qi Dou 001; Masashi Sugiyama (ICLR, 2022)

Learning from Multiple Unlabeled Datasets with Partial Risk Regularization. - Yuting Tang; Nan Lu 001; Tianyi Zhang; Masashi Sugiyama (CoRR, 2022)

Generalizing Importance Weighting to A Universal Solver for Distribution Shift Problems. - Tongtong Fang; Nan Lu 001; Gang Niu 001; Masashi Sugiyama (NeurIPS, 2023)

A General Framework for Learning under Corruption: Label Noise, Attribute Noise, and Beyond. - Laura Iacovissi; Nan Lu 001; Robert C. Williamson (CoRR, 2023)

Learning from Ambiguous Data with Hard Labels. - Zeke Xie; Zheng He; Nan Lu 001; Lichen Bai; Bao Li; Shuo Yang 006; Mingming Sun 001; Ping Li 001 (ICASSP, 2025)

Accelerated Dynamic Importance Weighting with Versatile Divergence-Minimizing Estimators. - Tongtong Fang; Nan Lu 001; Gang Niu 001; Kenji Fukumizu; Masashi Sugiyama (CoRR, 2026)