Chengyue Gong

According to our database1, Chengyue Gong authored at least 41 papers between 2017 and 2024.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

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Links

On csauthors.net:

Bibliography

2024
Language Rectified Flow: Advancing Diffusion Language Generation with Probabilistic Flows.
CoRR, 2024

LanguageFlow: Advancing Diffusion Language Generation with Probabilistic Flows.
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.
Proceedings of the Forty-first International Conference on Machine Learning, 2024

Evolution-Inspired Loss Functions for Protein Representation Learning.
Proceedings of the Forty-first International Conference on Machine Learning, 2024

Layer Compression of Deep Networks with Straight Flows.
Proceedings of the Thirty-Eighth AAAI Conference on Artificial Intelligence, 2024

2023
AutoML-GPT: Automatic Machine Learning with GPT.
CoRR, 2023

Flow Straight and Fast: Learning to Generate and Transfer Data with Rectified Flow.
Proceedings of the Eleventh International Conference on Learning Representations, 2023

HotProtein: A Novel Framework for Protein Thermostability Prediction and Editing.
Proceedings of the Eleventh International Conference on Learning Representations, 2023

Fast Point Cloud Generation with Straight Flows.
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2023

FlowGrad: Controlling the Output of Generative ODEs with Gradients.
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2023

2022
Diffusion-based Molecule Generation with Informative Prior Bridges.
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.
Proceedings of the Findings of the Association for Computational Linguistics: NAACL 2022, 2022

Harmless Transfer Learning for Item Embeddings.
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.
Proceedings of the International Conference on Machine Learning, 2022

NASViT: Neural Architecture Search for Efficient Vision Transformers with Gradient Conflict aware Supernet Training.
Proceedings of the Tenth International Conference on Learning Representations, 2022

Passage-Mask: A Learnable Regularization Strategy for Retriever-Reader Models.
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.
CoRR, 2021

Improve Vision Transformers Training by Suppressing Over-smoothing.
CoRR, 2021

AlphaNet: Improved Training of Supernet with Alpha-Divergence.
CoRR, 2021

Capturing Label Distribution: A Case Study in NLI.
CoRR, 2021

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

Learning with Different Amounts of Annotation: From Zero to Many Labels.
Proceedings of the 2021 Conference on Empirical Methods in Natural Language Processing, 2021

AttentiveNAS: Improving Neural Architecture Search via Attentive Sampling.
Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2021

KeepAugment: A Simple Information-Preserving Data Augmentation Approach.
Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2021

AlphaMatch: Improving Consistency for Semi-Supervised Learning With Alpha-Divergence.
Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2021

MaxUp: Lightweight Adversarial Training With Data Augmentation Improves Neural Network Training.
Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2021

Knowing More About Questions Can Help: Improving Calibration in Question Answering.
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.
CoRR, 2020

Black-Box Certification with Randomized Smoothing: A Functional Optimization Based Framework.
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.
Proceedings of the 37th International Conference on Machine Learning, 2020

SAFER: A Structure-free Approach for Certified Robustness to Adversarial Word Substitutions.
Proceedings of the 58th Annual Meeting of the Association for Computational Linguistics, 2020

2019
Improving Neural Language Modeling via Adversarial Training.
Proceedings of the 36th International Conference on Machine Learning, 2019

Quantile Stein Variational Gradient Descent for Batch Bayesian Optimization.
Proceedings of the 36th International Conference on Machine Learning, 2019

Mixed Precision Neural Architecture Search for Energy Efficient Deep Learning.
Proceedings of the International Conference on Computer-Aided Design, 2019

Sentence-Wise Smooth Regularization for Sequence to Sequence Learning.
Proceedings of the Thirty-Third AAAI Conference on Artificial Intelligence, 2019

2018
FRAGE: Frequency-Agnostic Word Representation.
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.
Proceedings of the Twenty-Seventh International Joint Conference on Artificial Intelligence, 2018

2017
Deep Dynamic Poisson Factorization Model.
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.
Proceedings of the 2017 IEEE International Conference on Bioinformatics and Biomedicine, 2017


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