Chengyue Gong - Concepedia

Author

Chengyue Gong

The University of Texas at Austin ORCID

Also Known As

, C Gong, Cao, Yang, Chengyue Gong, Cong Liu, Gong, Chengyue, Jiaqi Guan

Publications

1.5K

Citations

H-Index

Concepts

All Affiliations

The University of Texas at Austin Peking University Meta (Israel)

About

Chengyue Gong is an author at The University of Texas at Austin specializing in machine learning, engineering, and deep learning.

Top Concepts

#	Concept	H-Index	Publications	Citations
1	Engineering	19	21	1.1K
2	Language Studies	3	3	191
3	Natural Sciences	2	2	31
4	Arts	1	1	224
5	Biomedical Engineering	1	1	19

Chengyue Gong

Publications

1.4K

Citations

H-Index

Page 1

	Year	Citations
Neural User Response Generator: Fake News Detection with Collective User Intelligence Feng Qian, Chengyue Gong, Karishma Sharma, Fake NewsArtificial IntelligenceEngineeringMachine LearningCommunication	2018	224
KeepAugment: A Simple Information-Preserving Data Augmentation Approach Chengyue Gong, Dilin Wang, Meng Li, Convolutional Neural NetworkEngineeringMachine LearningAutoencodersImage Classification	2021	140
AttentiveNAS: Improving Neural Architecture Search via Attentive Sampling Dilin Wang, Meng Li, Chengyue Gong, Artificial IntelligenceLarge Ai ModelEngineeringMachine LearningData Science	2021	87
SAFER: A Structure-free Approach for Certified Robustness to Adversarial Word Substitutions Mao Ye, Chengyue Gong, Qiang Liu	2020	85
FRAGE: Frequency-Agnostic Word Representation Chengyue Gong, Di He, Xu Tan, arXiv (Cornell University) EngineeringMachine LearningCross-lingual RepresentationSemanticsLarge Language Model	2018	79
Flow Straight and Fast: Learning to Generate and Transfer Data with Rectified Flow Xingchao Liu, Chengyue Gong, Qiang Liu arXiv (Cornell University)	2022	75
Mixed Precision Neural Architecture Search for Energy Efficient Deep Learning Chengyue Gong, Zixuan Jiang, Dilin Wang, Artificial IntelligenceHigh AccuracyConvolutional Neural NetworkEngineeringMachine Learning	2019	61
FRAGE: Frequency-Agnostic Word Representation Chengyue Gong, Di He, Xu Tan, Neural Information Processing Systems EngineeringMachine LearningSemanticsLarge Language ModelCorpus Linguistics	2018	57
Improving Neural Language Modeling via Adversarial Training Dilin Wang, Chengyue Gong, Qiang Liu arXiv (Cornell University) Natural Language ProcessingLarge Ai ModelStructured PredictionDeep Neural NetworksEngineering	2019	55
Stability Oracle: a structure-based graph-transformer framework for identifying stabilizing mutations Daniel J. Diaz, Chengyue Gong, Jeffrey Ouyang-Zhang, Nature Communications	2024	51

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