Chengyu Dong

According to our database1, Chengyu Dong authored at least 31 papers between 2006 and 2024.

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

Timeline

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Legend:

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Links

On csauthors.net:

Bibliography

2024
Next-Token Prediction Task Assumes Optimal Data Ordering for LLM Training in Proof Generation.
CoRR, 2024

When is the consistent prediction likely to be a correct prediction?
CoRR, 2024

Toward Student-oriented Teacher Network Training for Knowledge Distillation.
Proceedings of the Twelfth International Conference on Learning Representations, 2024

Fast-ELECTRA for Efficient Pre-training.
Proceedings of the Twelfth International Conference on Learning Representations, 2024

Text Grafting: Near-Distribution Weak Supervision for Minority Classes in Text Classification.
Proceedings of the 2024 Conference on Empirical Methods in Natural Language Processing, 2024

Evaluating the Smooth Control of Attribute Intensity in Text Generation with LLMs.
Proceedings of the Findings of the Association for Computational Linguistics, 2024

2023
Robust and Interpretable Medical Image Classifiers via Concept Bottleneck Models.
CoRR, 2023

Generalized Uncertainty of Deep Neural Networks: Taxonomy and Applications.
CoRR, 2023

Physics-Informed Data Denoising for Real-Life Sensing Systems.
Proceedings of the 21st ACM Conference on Embedded Networked Sensor Systems, 2023

Bridging Discrete and Backpropagation: Straight-Through and Beyond.
Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

Understand and Modularize Generator Optimization in ELECTRA-style Pretraining.
Proceedings of the International Conference on Machine Learning, 2023

Learning Concise and Descriptive Attributes for Visual Recognition.
Proceedings of the IEEE/CVF International Conference on Computer Vision, 2023

SELFOOD: Self-Supervised Out-Of-Distribution Detection via Learning to Rank.
Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2023, 2023

Debiasing Made State-of-the-art: Revisiting the Simple Seed-based Weak Supervision for Text Classification.
Proceedings of the 2023 Conference on Empirical Methods in Natural Language Processing, 2023

2022
SoTeacher: A Student-oriented Teacher Network Training Framework for Knowledge Distillation.
CoRR, 2022

Label Noise in Adversarial Training: A Novel Perspective to Study Robust Overfitting.
Proceedings of the Advances in Neural Information Processing Systems 35: Annual Conference on Neural Information Processing Systems 2022, 2022

LOPS: Learning Order Inspired Pseudo-Label Selection for Weakly Supervised Text Classification.
Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2022, 2022

2021
A Heterogeneous Graph Learning Model for Cyber-Attack Detection.
CoRR, 2021

Double Descent in Adversarial Training: An Implicit Label Noise Perspective.
CoRR, 2021

Data Profiling for Adversarial Training: On the Ruin of Problematic Data.
CoRR, 2021

"Average" Approximates "First Principal Component"? An Empirical Analysis on Representations from Neural Language Models.
Proceedings of the 2021 Conference on Empirical Methods in Natural Language Processing, 2021

BFClass: A Backdoor-free Text Classification Framework.
Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2021, 2021

2020
Overfitting or Underfitting? Understand Robustness Drop in Adversarial Training.
CoRR, 2020

Towards Adaptive Residual Network Training: A Neural-ODE Perspective.
Proceedings of the 37th International Conference on Machine Learning, 2020

2011
Non-supervised macro segmentation of large-scale TV videos.
Proceedings of the Multimedia on Mobile Devices 2011; and Multimedia Content Access: Algorithms and Systems V, 2011

2010
The France Telecom Orange Labs (Beijing) Video Semantic Indexing Systems - TRECVID 2010 Notebook Paper.
Proceedings of the TRECVID 2010 workshop participants notebook papers, 2010

2009
The France Telecom Orange Labs (Beijing) Video High-level Feature Extraction Systems - TrecVid 2009 Notebook Paper.
Proceedings of the TRECVID 2009 workshop participants notebook papers, 2009

2008
Support vector machines based text dependent speaker verification using HMM supervectors.
Proceedings of the Odyssey 2008: The Speaker and Language Recognition Workshop, 2008

Analysis of subspace within-class covariance normalization for SVM-based speaker verification.
Proceedings of the 9th Annual Conference of the International Speech Communication Association, 2008

2007
Score Normalization Technique for Text-Prompted Speaker Verification with Chinese Digits.
Proceedings of the Advanced Intelligent Computing Theories and Applications. With Aspects of Artificial Intelligence, 2007

2006
A Boosting Approach for Utterance Verification.
Proceedings of the Computational Intelligence, 2006


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