| Issue Date | Title | Author(s) |
| 2017-09-01 | 2017 publication guidelines for structural modelling of small-angle scattering data from biomolecules in solution: An update | Trewhella, J; Duff, AP; Durand, D; Gabel, F; Guss, JM; Hendrickson, WA; Hura, GL; Jacques, DA; Kirby, NM; Kwan, AH; Pérez, J; Pollack, L; Ryan, TM; Sali, A; Schneidman-Duhovny, D; Schwede, T; Svergun, DI; Sugiyama, M; Tainer, JA; Vachette, P; Westbrook, J; Whitten, AE |
| 2018-01-01 | Co-teaching: Robust training of deep neural networks with extremely noisy labels | Han, B; Yao, Q; Yu, X; Niu, G; Xu, M; Hu, W; Tsang, IW; Sugiyama, M |
| 2018-01-01 | Co-teaching: Robust Training of Deep Neural Networks with Extremely Noisy Labels | Han, B; Yao, Q; Yu, X; Niu, G; Xu, M; Hu, W; Tsang, IW; Sugiyama, M; Bengio, S; Wallach, H; Larochelle, H; Grauman, K; CesaBianchi, N; Garnett, R |
| 2019-01-01 | How does disagreement help generalization against label corruption? | Yu, X; Han, B; Yao, J; Niu, G; Tsang, IW; Sugiyama, M |
| 2018-01-01 | Masking: A new perspective of noisy supervision | Han, B; Yao, J; Niu, G; Zhou, M; Tsang, IW; Zhang, Y; Sugiyama, M |
| 2019-05-15 | Millionaire: a hint-guided approach for crowdsourcing | Han, B; Yao, Q; Pan, Y; Tsang, IW; Xiao, X; Yang, Q; Sugiyama, M |
| 2021 | Probabilistic Margins for Instance Reweighting in Adversarial Training | Wang, Q; Liu, F; Han, B; Liu, T; Gong, C; Niu, G; Zhuo, M; Sugiyama, M |
| 2021-01-01 | Probabilistic Margins for Instance Reweighting in Adversarial Training | Wang, Q; Liu, F; Han, B; Liu, T; Gong, C; Niu, G; Zhou, M; Sugiyama, M |
| 2020-06-10 | Stochastic Multichannel Ranking with Brain Dynamics Preferences. | Pan, Y; Tsang, IW; Singh, AK; Lin, C-T; Sugiyama, M |
