Chengyu Dong

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Jingbo ShangAssistant Professor, UC San DiegoVerified email at ucsd.edu
Liyuan LiuMicrosoft ResearchVerified email at illinois.edu
Zichao LiUniversity of California, Santa CruzVerified email at ucsc.edu
Dheeraj MekalaUniversity of California, San DiegoVerified email at ucsd.edu
An YanUniversity of California San DiegoVerified email at ucsd.edu
Yu WangPhD student, University of California, San DiegoVerified email at ucsd.edu
Yiwu ZhongUniversity of Wisconsin-MadisonVerified email at wisc.edu
Julian McAuleyProfessor, UC San DiegoVerified email at eng.ucsd.edu
Zihan WangUniversity of California San DiegoVerified email at ucsd.edu
Xiaodong LiuMicrosoft Research, RedmondVerified email at microsoft.com
Jianfeng GaoMicrosoft Research, RedmondVerified email at microsoft.com
Yujie LuUniversity of California, Santa BarbaraVerified email at ucsb.edu
William Yang WangMellichamp Chair Professor, University of California, Santa BarbaraVerified email at cs.ucsb.edu
Hao ChengMicrosoft ResearchVerified email at microsoft.com
Adithya SamavedhiSoftware Developer, Goldman SachsVerified email at alumni.bits-pilani.ac.in
Anne WellbrockUniversity College LondonVerified email at ucl.ac.uk
Hao GuSchool of Atmospheric Sciences, Sun Yat-Sen UniversityVerified email at mail.sysu.edu.cn
Jun CuiSchool of Atmospheric Sciences, Sun Yat-sen University, Zhuhai, Guangdong, ChinaVerified email at mail.sysu.edu.cn
Bin YUProfessor of Statistics and EECS, UC BerkeleyVerified email at stat.berkeley.edu

Chengyu Dong

PhD student, UCSD

Verified email at eng.ucsd.edu - Homepage

Efficient Learning Principles


Title Sort by citations Sort by year Sort by 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	31	2020
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	23	2023
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	16	2021
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	10	2022
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	8	2023
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	5	2024
Toward Student-oriented Teacher Network Training for Knowledge Distillation C Dong, L Liu, J Shang The Twelfth International Conference on Learning Representations, 2023	5*	2023
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	3	2021
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	1	2023
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	1	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	1	2023
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
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

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