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Yu Yao
Yu Yao
Lecturer in the University of Sydney
Verified email at sydney.edu.au - Homepage
Title
Cited by
Cited by
Year
Dual t: Reducing estimation error for transition matrix in label-noise learning
Y Yao, T Liu, B Han, M Gong, J Deng, G Niu, M Sugiyama
NeurIPS, 2020
3332020
Instance-dependent label-noise learning under a structural causal model
Y Yao, T Liu, M Gong, B Han, G Niu, K Zhang
NeurIPS, 2021
1082021
Rethinking class-prior estimation for positive-unlabeled learning
Y Yao, T Liu, B Han, M Gong, G Niu, M Sugiyama, D Tao
ICLR, 2022
44*2022
Improving Non-Transferable Representation Learning by Harnessing Content and Style
Z Hong, Z Wang, L Shen, Y Yao, Z Huang, S Chen, C Yang, M Gong, ...
ICLR (spotlight), 2024
362024
Flow: Modularized Agentic Workflow Automation
B Niu, Y Song, K Lian, Y Shen, Y Yao, K Zhang, T Liu
ICLR, 2025
27*2025
CS-Isolate: Extracting Hard Confident Examples by Content and Style Isolation
Y Lin, Y Yao, X Shi, M Gong, X Shen, D Xu, T Liu
NeurIPS, 2023
202023
Learning the Latent Causal Structure for Modeling Label Noise
Y Lin, Y Yao, T Liu
NeurIPS, 2024
182024
Which is Better for Learning with Noisy Labels: The Semi-supervised Method or Modeling Label Noise?
Y Yao, M Gong, Y Du, J Yu, B Han, K Zhang, T Liu
ICML, 2023
18*2023
Understanding how pretraining regularizes deep learning algorithms
Y Yao, B Yu, C Gong, T Liu
IEEE TNNLS, 2021
182021
Enhancing Contrastive Learning for Ordinal Regression via Ordinal Content Preserved Data Augmentation
J Zheng, Y Yao, B Han, D Wang, T Liu
ICLR, 2024
162024
Multi-scale cooperative multimodal transformers for multimodal sentiment analysis in videos
L Ma, Y Yao, T Liang, T Liu
Australasian Joint Conference on Artificial Intelligence, 281-297, 2024
152024
PNT-Edge: Towards Robust Edge Detection with Noisy Labels by Learning Pixel-level Noise Transitions
W Xuan, S Zhao, Y Yao, J Liu, T Liu, Y Chen, B Du, D Tao
ACM Multimedia, 2023
92023
ProtoSimi: label correction for fine-grained visual categorization
J Shen, Y Yao, S Huang, Z Wang, J Zhang, R Wang, J Yu, T Liu
Machine Learning 113 (4), 1903-1920, 2023
72023
StarmapVis: An interactive and narrative visualisation tool for single-cell and spatial data
S Ma, X Fang, Y Yao, J Li, DC Morgan, Y Xia, CSM Kwok, MCK Lo, ...
Computational and Structural Biotechnology Journal 21, 1598-1605, 2023
6*2023
Chain-of-Focus Prompting: Leveraging Sequential Visual Cues to Prompt Large Autoregressive Vision Models
J Zheng, J Shen, Y Yao, M Wang, Y Yang, D Wang, T Liu
ICLR, 2025
52025
Causality Encourages the Identifiability of Instance-Dependent Label Noise
Y Yao, T Liu, M Gong, B Han, G Niu, K Zhang
Machine Learning for Causal Inference, 2023
5*2023
Ranked from within: Ranking large multimodal models for visual question answering without labels
W Tu, W Deng, D Campbell, Y Yao, J Zheng, T Gedeon, T Liu
arXiv preprint arXiv:2412.06461, 2024
42024
Identifying Latent State-Transition Processes for Individualized Reinforcement Learning
Y Sun, B Huang, Y Yao, D Zeng, X Dong, R Legaspi, K Ikeda, P Spirtes, ...
NeurIPS, 2024
42024
Do We Need to Penalize Variance of Losses for Learning with Label Noise?
Y Lin, Y Yao, Y Du, J Yu, B Han, M Gong, T Liu
arXiv preprint arXiv:2201.12739, 2022
42022
Aligning What Matters: Masked Latent Adaptation for Text-to-Audio-Video Generation
J Zheng, S Pan, Y Yao, Z Wang, D Wang, T Liu
NeurIPS, 2025
22025
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Articles 1–20