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.

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]

Reviewer: ICML 2019, NeurIPS 2019, ICLR 2020, ICML 2020, NeurIPS 2020.