I am a second-year computer science Ph.D. student at University of Texas at Austin, advised by Professor Qiang Liu.
My research interests are in statistical machine learning and deep learning.
Publications
AlphaNet: Improved Training of Supernet with Alpha-Divergence
Dilin Wang, Chengyue Gong*, Meng Li*, Qiang Liu, Vikas Chandra
ICML 2021.
AttentiveNAS: Improving Neural Architecture Search via Attentive Sampling
Dilin Wang, Meng Li, Chengyue Gong, Vikas Chandra
CVPR 2021.
KeepAugment: A Simple Information-Preserving Data Augmentation Approach
Chengyue Gong*, Dilin Wang*, Meng Li, Vikas Chandra, Qiang Liu
CVPR 2021.
Maxup: A simple way to improve generalization of neural network training
Chengyue Gong, Tongzheng Ren, Mao Ye, Qiang Liu
CVPR 2021.
Black-box certification with randomized smoothing: A functional optimization based framework
Dinghuai Zhang*, Mao Ye*, Chengyue Gong*, Zhanxing Zhu, Qiang Liu
Neurips 2020. (*equal contribution)
Good Subnetworks Provably Exist: Pruning via Greedy Forward Selection
Mao Ye, Chengyue Gong, Lizhen Nie, Denny Zhou, Adam Klivans and Qiang Liu
ICML 2020.
SAFER: A Structure-free Approach For cErtified Robustness to Adversarial Word Substitutions
Mao Ye*, Chengyue Gong* and Qiang Liu.
ACL 2020. (*equal contribution)
Mixed Precision Neural Architecture Search for Energy Efficient Deep Learning
Chengyue Gong*, Zixuan Jiang*, Dilin Wang, Yibo Lin, Qiang Liu, and David Z. Pan.
ICCAD 2019. (*equal contribution)
Improving Neural Language Modeling via Adversarial Training
Dilin Wang*, Chengyue Gong* and Qiang Liu.
ICML, 2019. (*equal contribution) [code]
Quantile Stein Bayesian Optimization
Chengyue Gong, Jian Peng and Qiang Liu.
ICML, 2019. [code]
Sentence-Wise Smooth Regularization for Sequence to Sequence Learning
Chengyue Gong, Xu Tan, Di He and Tao Qin.
AAAI, 2019.
FRAGE: Frequency-Agnostic Word Representation
Chengyue Gong, Di He, Xu Tan, Tao Qin, Liwei Wang and Tie-Yan Liu.
NeurIPS, 2018. [code]
Neural User Response Generator: Fake News Detection with Collective User Intelligence
Feng Qian*, Chengyue Gong*, Karishma Sharma* and Yan Liu.
IJCAI, 2018. (*equal contribution)
Deep dynamic Poisson Factorization Model
Chengyue Gong and Win-bin Huang.
NIPS, 2017.
Topic Medical Concept Embedding: Multi-sense Representation Learning for Medical Concept
Feng Qian*, Chengyue Gong*, Lu-chen Liu, Lei Sha and Ming Zhang.
BIBM, 2017. (*equal contribution) [code]
Services
Reviewer: ICML 2019, NeurIPS 2019, ICLR 2020, ICML 2020, NeurIPS 2020.