Yong Lin
Yong Lin
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Cited by
Cited by
Active prompting with chain-of-thought for large language models
S Diao, P Wang, Y Lin, T Zhang
arXiv preprint arXiv:2302.12246, 2023
Black-box prompt learning for pre-trained language models
S Diao, Z Huang, R Xu, X Li, Y Lin, X Zhou, T Zhang
arXiv preprint arXiv:2201.08531, 2022
Sparse invariant risk minimization
X Zhou*, Y Lin*, W Zhang*, T Zhang
ICML 2022, 2022
Bayesian invariant risk minimization
Y Lin, H Dong, H Wang, T Zhang
CVPR 2022 (Oral), 2022
Zin: When and how to learn invariance without environment partition?
Y Lin, S Zhu, L Tan, P Cui
Advances in Neural Information Processing Systems 35, 24529-24542, 2022
Model agnostic sample reweighting for out-of-distribution learning
X Zhou*, Y Lin*, R Pi*, W Zhang, R Xu, P Cui, T Zhang
ICML 2022, 2022
Self-guided noise-free data generation for efficient zero-shot learning
J Gao, R Pi, L Yong, H Xu, J Ye, Z Wu, W Zhang, X Liang, Z Li, L Kong
ICLR 2023, 2023
Cable sheath loss reduction strategy research based on the coupled line model
Y Lin, Z Xu
IEEE Transactions on Power Delivery 30 (5), 2303-2311, 2015
ID and OOD Performance Are Sometimes Inversely Correlated on Real-world Datasets
D Teney, Y Lin, SJ Oh, E Abbasnejad
NeurIPS 2023 (Spotlight), 2022
Speciality vs generality: An empirical study on catastrophic forgetting in fine-tuning foundation models
Y Lin, L Tan, H Lin, Z Zheng, R Pi, J Zhang, S Diao, H Wang, H Zhao, ...
arXiv preprint arXiv:2309.06256, 2023
R-Tuning: Teaching Large Language Models to Refuse Unknown Questions
H Zhang*, S Diao*, Y Lin*, YR Fung, Q Lian, X Wang, Y Chen, H Ji, ...
arXiv preprint arXiv:2311.09677, 2023
Probabilistic bilevel coreset selection
X Zhou, R Pi, W Zhang, Y Lin, Z Chen, T Zhang
ICML 2022, 2022
A Holistic View of Label Noise Transition Matrix in Deep Learning and Beyond
Y Lin*, R Pi*, W Zhang, X Xia, J Gao, X Zhou, T Liu, B Han
ICLR 2023 (Spotlight), 2022
Analysis of coupling effect on LCC-MCC hybrid HVDC from parallel AC lines in close proximity
Y Lin, Z Xu, L Xiao, Z Zhang, H Xiao
2015 IEEE Power & Energy Society General Meeting, 1-5, 2015
Particle-based variational inference with preconditioned functional gradient flow
H Dong, X Wang, Y Lin, T Zhang
ICLR 2023, 2022
Arithmetic Control of LLMs for Diverse User Preferences: Directional Preference Alignment with Multi-Objective Rewards
H Wang, Y Lin, W Xiong, R Yang, S Diao, S Qiu, H Zhao, T Zhang
arXiv preprint arXiv:2402.18571, 2024
Spurious feature diversification improves out-of-distribution generalization
Y Lin*, L Tan*, Y Hao*, H Wong, H Dong, W Zhang, Y Yang, T Zhang
arXiv preprint arXiv:2309.17230, 2023
Stable learning via sparse variable independence
H Yu, P Cui, Y He, Z Shen, Y Lin, R Xu, X Zhang
Proceedings of the AAAI Conference on Artificial Intelligence 37 (9), 10998 …, 2023
An empirical study of invariant risk minimization on deep models
Y Lin, Q Lian, T Zhang
ICML 2021 Workshop on Uncertainty and Robustness in Deep Learning 1 (2), 7, 2021
Provably invariant learning without domain information
X Tan*, Y Lin*, S Zhu, C Qu, X Qiu, X Yinghui, P Cui, Y Qi
ICML 2022, 2023
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