Chengyue Gong

According to our database, Chengyue Gong authored at least 41 papers between 2017 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2024

Language Rectified Flow: Advancing Diffusion Language Generation with Probabilistic Flows.

Shujian Zhang, Lemeng Wu, Chengyue Gong, Xingchao Liu

CoRR, 2024

LanguageFlow: Advancing Diffusion Language Generation with Probabilistic Flows.

Shujian Zhang, Lemeng Wu, Chengyue Gong, Xingchao Liu

Proceedings of the 2024 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies (Volume 1: Long Papers), 2024

Switchable Decision: Dynamic Neural Generation Networks.

Shujian Zhang, Korawat Tanwisuth, Chengyue Gong, Pengcheng He, Mingyuan Zhou

Proceedings of the Forty-first International Conference on Machine Learning, 2024

Evolution-Inspired Loss Functions for Protein Representation Learning.

Chengyue Gong, Adam R. Klivans, James Loy, Tianlong Chen, Qiang Liu, Daniel Jesus Diaz

Proceedings of the Forty-first International Conference on Machine Learning, 2024

Layer Compression of Deep Networks with Straight Flows.

Chengyue Gong, Xiaocong Du, Bhargav Bhushanam, Lemeng Wu, Xingchao Liu, Dhruv Choudhary, Arun Kejariwal, Qiang Liu

Proceedings of the Thirty-Eighth AAAI Conference on Artificial Intelligence, 2024

2023

AutoML-GPT: Automatic Machine Learning with GPT.

Shujian Zhang, Chengyue Gong, Lemeng Wu, Xingchao Liu, Mingyuan Zhou

CoRR, 2023

Flow Straight and Fast: Learning to Generate and Transfer Data with Rectified Flow.

Xingchao Liu, Chengyue Gong, Qiang Liu

Proceedings of the Eleventh International Conference on Learning Representations, 2023

HotProtein: A Novel Framework for Protein Thermostability Prediction and Editing.

Tianlong Chen, Chengyue Gong, Daniel Jesus Diaz, Xuxi Chen, Jordan Tyler Wells, Qiang Liu, Zhangyang Wang, Andrew D. Ellington, Alex Dimakis, Adam R. Klivans

Proceedings of the Eleventh International Conference on Learning Representations, 2023

Fast Point Cloud Generation with Straight Flows.

Lemeng Wu, Dilin Wang, Chengyue Gong, Xingchao Liu, Yunyang Xiong, Rakesh Ranjan, Raghuraman Krishnamoorthi, Vikas Chandra, Qiang Liu

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2023

FlowGrad: Controlling the Output of Generative ODEs with Gradients.

Xingchao Liu, Lemeng Wu, Shujian Zhang, Chengyue Gong, Wei Ping, Qiang Liu

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2023

2022

Diffusion-based Molecule Generation with Informative Prior Bridges.

Lemeng Wu, Chengyue Gong, Xingchao Liu, Mao Ye, Qiang Liu

Proceedings of the Advances in Neural Information Processing Systems 35: Annual Conference on Neural Information Processing Systems 2022, 2022

ALLSH: Active Learning Guided by Local Sensitivity and Hardness.

Shujian Zhang, Chengyue Gong, Xingchao Liu, Pengcheng He, Weizhu Chen, Mingyuan Zhou

Proceedings of the Findings of the Association for Computational Linguistics: NAACL 2022, 2022

Harmless Transfer Learning for Item Embeddings.

Chengyue Gong, Xiaocong Du, Dhruv Choudhary, Bhargav Bhushanam, Qiang Liu, Arun Kejariwal

Proceedings of the Findings of the Association for Computational Linguistics: NAACL 2022, 2022

How to Fill the Optimum Set? Population Gradient Descent with Harmless Diversity.

Chengyue Gong, Lemeng Wu, Qiang Liu

Proceedings of the International Conference on Machine Learning, 2022

NASViT: Neural Architecture Search for Efficient Vision Transformers with Gradient Conflict aware Supernet Training.

Chengyue Gong, Dilin Wang, Meng Li, Xinlei Chen, Zhicheng Yan, Yuandong Tian, Qiang Liu, Vikas Chandra

Proceedings of the Tenth International Conference on Learning Representations, 2022

Passage-Mask: A Learnable Regularization Strategy for Retriever-Reader Models.

Shujian Zhang, Chengyue Gong, Xingchao Liu

Proceedings of the 2022 Conference on Empirical Methods in Natural Language Processing, 2022

2021

FuseDream: Training-Free Text-to-Image Generation with Improved CLIP+GAN Space Optimization.

Xingchao Liu, Chengyue Gong, Lemeng Wu, Shujian Zhang, Hao Su, Qiang Liu

CoRR, 2021

Improve Vision Transformers Training by Suppressing Over-smoothing.

Chengyue Gong, Dilin Wang, Meng Li, Vikas Chandra, Qiang Liu

CoRR, 2021

AlphaNet: Improved Training of Supernet with Alpha-Divergence.

Dilin Wang, Chengyue Gong, Meng Li, Qiang Liu, Vikas Chandra

CoRR, 2021

Capturing Label Distribution: A Case Study in NLI.

Shujian Zhang, Chengyue Gong, Eunsol Choi

CoRR, 2021

argmax centroid.

Chengyue Gong, Mao Ye, Qiang Liu

Proceedings of the Advances in Neural Information Processing Systems 34: Annual Conference on Neural Information Processing Systems 2021, 2021

Automatic and Harmless Regularization with Constrained and Lexicographic Optimization: A Dynamic Barrier Approach.

Chengyue Gong, Xingchao Liu, Qiang Liu

Proceedings of the Advances in Neural Information Processing Systems 34: Annual Conference on Neural Information Processing Systems 2021, 2021

AlphaNet: Improved Training of Supernets with Alpha-Divergence.

Dilin Wang, Chengyue Gong, Meng Li, Qiang Liu, Vikas Chandra

Proceedings of the 38th International Conference on Machine Learning, 2021

Learning with Different Amounts of Annotation: From Zero to Many Labels.

Shujian Zhang, Chengyue Gong, Eunsol Choi

Proceedings of the 2021 Conference on Empirical Methods in Natural Language Processing, 2021

AttentiveNAS: Improving Neural Architecture Search via Attentive Sampling.

Dilin Wang, Meng Li, Chengyue Gong, Vikas Chandra

Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2021

KeepAugment: A Simple Information-Preserving Data Augmentation Approach.

Chengyue Gong, Dilin Wang, Meng Li, Vikas Chandra, Qiang Liu

Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2021

AlphaMatch: Improving Consistency for Semi-Supervised Learning With Alpha-Divergence.

Chengyue Gong, Dilin Wang, Qiang Liu

Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2021

MaxUp: Lightweight Adversarial Training With Data Augmentation Improves Neural Network Training.

Chengyue Gong, Tongzheng Ren, Mao Ye, Qiang Liu

Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2021

Knowing More About Questions Can Help: Improving Calibration in Question Answering.

Shujian Zhang, Chengyue Gong, Eunsol Choi

Proceedings of the Findings of the Association for Computational Linguistics: ACL/IJCNLP 2021, 2021

2020

MaxUp: A Simple Way to Improve Generalization of Neural Network Training.

ChengYue Gong, Tongzheng Ren, Mao Ye, Qiang Liu

CoRR, 2020

Black-Box Certification with Randomized Smoothing: A Functional Optimization Based Framework.

Dinghuai Zhang, Mao Ye, Chengyue Gong, Zhanxing Zhu, Qiang Liu

Proceedings of the Advances in Neural Information Processing Systems 33: Annual Conference on Neural Information Processing Systems 2020, 2020

Good Subnetworks Provably Exist: Pruning via Greedy Forward Selection.

Mao Ye, Chengyue Gong, Lizhen Nie, Denny Zhou, Adam R. Klivans, Qiang Liu

Proceedings of the 37th International Conference on Machine Learning, 2020

SAFER: A Structure-free Approach for Certified Robustness to Adversarial Word Substitutions.

Mao Ye, Chengyue Gong, Qiang Liu

Proceedings of the 58th Annual Meeting of the Association for Computational Linguistics, 2020

2019

Improving Neural Language Modeling via Adversarial Training.

Dilin Wang, ChengYue Gong, Qiang Liu

Proceedings of the 36th International Conference on Machine Learning, 2019

Quantile Stein Variational Gradient Descent for Batch Bayesian Optimization.

ChengYue Gong, Jian Peng, Qiang Liu

Proceedings of the 36th International Conference on Machine Learning, 2019

Mixed Precision Neural Architecture Search for Energy Efficient Deep Learning.

ChengYue Gong, Zixuan Jiang, Dilin Wang, Yibo Lin, Qiang Liu, David Z. Pan

Proceedings of the International Conference on Computer-Aided Design, 2019

Sentence-Wise Smooth Regularization for Sequence to Sequence Learning.

ChengYue Gong, Xu Tan, Di He, Tao Qin

Proceedings of the Thirty-Third AAAI Conference on Artificial Intelligence, 2019

2018

FRAGE: Frequency-Agnostic Word Representation.

ChengYue Gong, Di He, Xu Tan, Tao Qin, Liwei Wang, Tie-Yan Liu

Proceedings of the Advances in Neural Information Processing Systems 31: Annual Conference on Neural Information Processing Systems 2018, 2018

Neural User Response Generator: Fake News Detection with Collective User Intelligence.

Feng Qian, ChengYue Gong, Karishma Sharma, Yan Liu

Proceedings of the Twenty-Seventh International Joint Conference on Artificial Intelligence, 2018

2017

Deep Dynamic Poisson Factorization Model.

ChengYue Gong, Win-Bin Huang

Proceedings of the Advances in Neural Information Processing Systems 30: Annual Conference on Neural Information Processing Systems 2017, 2017

Topic medical concept embedding: Multi-sense representation learning for medical concept.

Feng Qian, ChengYue Gong, Luchen Liu, Lei Sha, Ming Zhang

Proceedings of the 2017 IEEE International Conference on Bioinformatics and Biomedicine, 2017