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Chengyue Gong 龚成玥
Chengyue Gong 龚成玥
Other nameschengyue gong
University of Texas at Austin
Verified email at cs.utexas.edu - Homepage
Title
Cited by
Cited by
Year
Neural User Response Generator: Fake News Detection with Collective User Intelligence.
F Qian, C Gong, K Sharma, Y Liu
IJCAI 18, 3834-3840, 2018
2282018
Flow straight and fast: Learning to generate and transfer data with rectified flow
X Liu, C Gong, Q Liu
ICLR, 2023
2152023
Frage: Frequency-agnostic word representation
C Gong, D He, X Tan, T Qin, L Wang, TY Liu
Advances in neural information processing systems 31, 2018
1732018
Maxup: A simple way to improve generalization of neural network training
C Gong, T Ren, M Ye, Q Liu
arXiv preprint arXiv:2002.09024, 2020
124*2020
Keepaugment: A simple information-preserving data augmentation approach
C Gong, D Wang, M Li, V Chandra, Q Liu
Proceedings of the IEEE/CVF conference on computer vision and pattern …, 2021
1172021
Improving neural language modeling via adversarial training
D Wang, C Gong, Q Liu
International Conference on Machine Learning, 6555-6565, 2019
1072019
Good subnetworks provably exist: Pruning via greedy forward selection
M Ye, C Gong, L Nie, D Zhou, A Klivans, Q Liu
International Conference on Machine Learning, 10820-10830, 2020
1042020
Attentivenas: Improving neural architecture search via attentive sampling
D Wang, M Li, C Gong, V Chandra
Proceedings of the IEEE/CVF conference on computer vision and pattern …, 2021
1022021
SAFER: A structure-free approach for certified robustness to adversarial word substitutions
M Ye, C Gong, Q Liu
arXiv preprint arXiv:2005.14424, 2020
912020
Improve vision transformers training by suppressing over-smoothing
C Gong, D Wang, M Li, V Chandra, Q Liu
arXiv preprint arXiv:2104.12753 4 (11), 2021
79*2021
Mixed precision neural architecture search for energy efficient deep learning
C Gong, Z Jiang, D Wang, Y Lin, Q Liu, DZ Pan
2019 IEEE/ACM International Conference on Computer-Aided Design (ICCAD), 1-7, 2019
722019
Diffusion-based molecule generation with informative prior bridges
L Wu, C Gong, X Liu, M Ye, Q Liu
Advances in Neural Information Processing Systems 35, 36533-36545, 2022
662022
NASViT: Neural Architecture Search for Efficient Vision Transformers with Gradient Conflict aware Supernet Training
C Gong, D Wang, M Li, X Chen, Z Yan, Y Tian, V Chandra
International Conference on Learning Representations, 2022
66*2022
Alphanet: Improved training of supernets with alpha-divergence
D Wang, C Gong, M Li, Q Liu, V Chandra
International Conference on Machine Learning, 10760-10771, 2021
642021
Fusedream: Training-free text-to-image generation with improved clip+ gan space optimization
X Liu, C Gong, L Wu, S Zhang, H Su, Q Liu
arXiv preprint arXiv:2112.01573, 2021
632021
Black-box certification with randomized smoothing: A functional optimization based framework
D Zhang, M Ye, C Gong, Z Zhu, Q Liu
Advances in Neural Information Processing Systems 33, 2316-2326, 2020
602020
Alphamatch: Improving consistency for semi-supervised learning with alpha-divergence
C Gong, D Wang, Q Liu
Proceedings of the IEEE/CVF conference on computer vision and pattern …, 2021
452021
Automl-gpt: Automatic machine learning with gpt
S Zhang, C Gong, L Wu, X Liu, M Zhou
arXiv preprint arXiv:2305.02499, 2023
372023
Knowing more about questions can help: Improving calibration in question answering
S Zhang, C Gong, E Choi
arXiv preprint arXiv:2106.01494, 2021
362021
Capturing label distribution: A case study in nli
S Zhang, C Gong, E Choi
arXiv preprint arXiv:2102.06859, 2021
34*2021
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