Follow
Chengyu Dong
Chengyu Dong
PhD student, UCSD
Verified email at eng.ucsd.edu - Homepage
Title
Cited by
Cited by
Year
Towards adaptive residual network training: A neural-ode perspective
C Dong, L Liu, Z Li, J Shang
International conference on machine learning, 2616-2626, 2020
312020
Learning concise and descriptive attributes for visual recognition
A Yan, Y Wang, Y Zhong, C Dong, Z He, Y Lu, WY Wang, J Shang, ...
Proceedings of the IEEE/CVF International Conference on Computer Vision …, 2023
202023
Label Noise in Adversarial Training: A Novel Perspective to Study Robust Overfitting
C Dong, L Liu, J Shang
Advances in Neural Information Processing Systems (Oral) 35, 17556-17567, 2022
18*2022
Bfclass: A backdoor-free text classification framework
Z Li, D Mekala, C Dong, J Shang
arXiv preprint arXiv:2109.10855, 2021
152021
Data quality matters for adversarial training: An empirical study
C Dong, L Liu, J Shang
arXiv preprint arXiv:2102.07437, 2021
13*2021
LOPS: Learning order inspired pseudo-label selection for weakly supervised text classification
D Mekala, C Dong, J Shang
arXiv preprint arXiv:2205.12528, 2022
112022
Bridging discrete and backpropagation: Straight-through and beyond
L Liu, C Dong, X Liu, B Yu, J Gao
Advances in Neural Information Processing Systems 36, 2024
52024
Robust and interpretable medical image classifiers via concept bottleneck models
A Yan, Y Wang, Y Zhong, Z He, P Karypis, Z Wang, C Dong, A Gentili, ...
arXiv preprint arXiv:2310.03182, 2023
52023
SoTeacher: Toward Student-oriented Teacher Network Training for Knowledge Distillation
C Dong, L Liu, J Shang
3*2022
Perturbation Deterioration: The Other Side of Catastrophic Overfitting
Z Li, L Liu, C Dong, J Shang
3*2021
" Average" Approximates" First Principal Component"? An Empirical Analysis on Representations from Neural Language Models
Z Wang, C Dong, J Shang
arXiv preprint arXiv:2104.08673, 2021
22021
Toward Student-oriented Teacher Network Training for Knowledge Distillation
C Dong, L Liu, J Shang
The Twelfth International Conference on Learning Representations, 2023
12023
Understand and modularize generator optimization in ELECTRA-style pretraining
C Dong, L Liu, H Cheng, J Shang, J Gao, X Liu
International Conference on Machine Learning, 8244-8259, 2023
12023
SELFOOD: Self-Supervised Out-Of-Distribution Detection via Learning to Rank
D Mekala, A Samavedhi, C Dong, J Shang
arXiv preprint arXiv:2305.14696, 2023
12023
Physics-Informed Data Denoising for Real-Life Sensing Systems
X Zhang, X Fu, D Teng, C Dong, K Vijayakumar, J Zhang, RR Chowdhury, ...
arXiv preprint arXiv:2311.06968, 2023
2023
Fast-ELECTRA for Efficient Pre-training
C Dong, L Liu, H Cheng, J Shang, J Gao, X Liu
arXiv preprint arXiv:2310.07347, 2023
2023
Debiasing Made State-of-the-art: Revisiting the Simple Seed-based Weak Supervision for Text Classification
C Dong, Z Wang, J Shang
arXiv preprint arXiv:2305.14794, 2023
2023
Generalized Uncertainty of Deep Neural Networks: Taxonomy and Applications
C Dong
arXiv preprint arXiv:2302.01440, 2023
2023
A Test Particle Monte Carlo Investigation of the CH4 Torus around Saturn
DD Niu, J Cui, H Gu, CY Dong, LY Zhou, A Wellbrock, FY Jiang, XJ Xu
The Astronomical Journal 157 (1), 15, 2018
2018
On the close encounters between Plutinos and Neptune Trojans: I. Statistic analysis and theoretical estimations
CY Dong, LY Zhou
arXiv preprint arXiv:1806.10651, 2018
2018
The system can't perform the operation now. Try again later.
Articles 1–20