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Jiaheng Wei
Jiaheng Wei
Assistant Professor at Hong Kong University of Science and Technology (Guang Zhou)
Verifisert e-postadresse på hkust-gz.edu.cn - Startside
Tittel
Sitert av
Sitert av
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Learning with noisy labels revisited: A study using real-world human annotations
J Wei, Z Zhu, H Cheng, T Liu, G Niu, Y Liu
ICLR 2022, 2022
2912022
To smooth or not? when label smoothing meets noisy labels
J Wei, H Liu, T Liu, G Niu, M Sugiyama, Y Liu
ICML 2022 (Oral), 2022
95*2022
When optimizing -divergence is robust with label noise
J Wei, Y Liu
ICLR 2021, 2021
602021
To aggregate or not? learning with separate noisy labels
J Wei, Z Zhu, T Luo, E Amid, A Kumar, Y Liu
KDD 2023, 2023
372023
DuelGAN: A Duel Between Two Discriminators Stabilizes the GAN Training
J Wei, M Liu, J Luo, A Zhu, J Davis, Y Liu
ECCV 2022, 2022
28*2022
Incentives for federated learning: a hypothesis elicitation approach
Y Liu, J Wei
ICML 2020 (workshop), 2020
242020
Distributionally Robust Post-hoc Classifiers under Prior Shifts
J Wei, H Narasimhan, E Amid, WS Chu, Y Liu, A Kumar
ICLR 2023, 2023
222023
Human-instruction-free llm self-alignment with limited samples
H Guo, Y Yao, W Shen, J Wei, X Zhang, Z Wang, Y Liu
arXiv preprint arXiv:2401.06785, 2024
182024
Measuring and Reducing LLM Hallucination without Gold-Standard Answers
J Wei, Y Yao, JF Ton, H Guo, A Estornell, Y Liu
arXiv preprint arXiv:2402.10412, 2024
162024
Do humans and machines have the same eyes? human-machine perceptual differences on image classification
M Liu, J Wei, Y Liu, J Davis
AAAI 2025 (Oral), 2025
102025
Sample Elicitation
J Wei, Z Fu, Y Liu, X Li, Z Yang, Z Wang
AISTATS 2021, 2692-2700, 2021
92021
Fairness improves learning from noisily labeled long-tailed data
J Wei, Z Zhu, G Niu, T Liu, S Liu, M Sugiyama, Y Liu
arXiv preprint arXiv:2303.12291, 2023
62023
Automatic dataset construction (adc): Sample collection, data curation, and beyond
M Liu, Z Di, J Wei, Z Wang, H Zhang, R Xiao, H Wang, J Pang, H Chen, ...
arXiv preprint arXiv:2408.11338, 2024
42024
Harnessing Business and Media Insights with Large Language Models
Y Bao, AP Shah, N Narang, J Rivers, R Maksey, L Guan, LN Barrere, ...
arXiv preprint arXiv: 2406.06559, 2024
32024
Auditing for federated learning: A model elicitation approach
Y Liu, R Lou, J Wei
Proceedings of the Fifth International Conference on Distributed Artificial …, 2023
32023
Improving Data Efficiency via Curating LLM-Driven Rating Systems
J Pang, J Wei, AP Shah, Z Zhu, Y Wang, C Qian, Y Liu, Y Bao, W Wei
ICLR 2025, 2025
22025
Reassessing Layer Pruning in LLMs: New Insights and Methods
Y Lu, H Cheng, Y Fang, Z Wang, J Wei, D Xu, Q Xuan, X Yang, Z Zhu
arXiv preprint arXiv:2411.15558, 2024
12024
Consensus on dynamic stochastic block models: Fast convergence and phase transitions
H Wang, J Wei, Z Zhang
arXiv preprint arXiv:2209.03999, 2022
12022
Token Cleaning: Fine-Grained Data Selection for LLM Supervised Fine-Tuning
J Pang, N Di, Z Zhu, J Wei, H Cheng, C Qian, Y Liu
arXiv preprint arXiv:2502.01968, 2025
2025
LLM Unlearning via Loss Adjustment with Only Forget Data
Y Wang, J Wei, CY Liu, J Pang, Q Liu, AP Shah, Y Bao, Y Liu, W Wei
ICLR 2025, 2025
2025
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Artikler 1–20