Chengyu Dong

Publication Activity (10 Years)

Years Active: 2006-2024
Publications (10 Years): 33

Top Topics

Text Classification

Weakly Supervised

Top Venues

EMNLP (Findings)

Publications

Letian Peng, Yi Gu, Chengyu Dong, Zihan Wang, Jingbo Shang
Text Grafting: Near-Distribution Weak Supervision for Minority Classes in Text Classification. CoRR (2024)
Chengyu Dong, Liyuan Liu, Jingbo Shang
Toward Student-oriented Teacher Network Training for Knowledge Distillation. ICLR (2024)
Alex Nguyen, Dheeraj Mekala, Chengyu Dong, Jingbo Shang
When is the consistent prediction likely to be a correct prediction? CoRR (2024)
Shang Zhou, Feng Yao, Chengyu Dong, Zihan Wang, Jingbo Shang
Evaluating the Smooth Control of Attribute Intensity in Text Generation with LLMs. CoRR (2024)
Chengyu Dong, Liyuan Liu, Hao Cheng, Jingbo Shang, Jianfeng Gao, Xiaodong Liu
Fast-ELECTRA for Efficient Pre-training. ICLR (2024)
Shang Zhou, Feng Yao, Chengyu Dong, Zihan Wang, Jingbo Shang
Evaluating the Smooth Control of Attribute Intensity in Text Generation with LLMs. ACL (Findings) (2024)
Xiyuan Zhang, Xiaohan Fu, Diyan Teng, Chengyu Dong, Keerthivasan Vijayakumar, Jiayun Zhang, Ranak Roy Chowdhury, Junsheng Han, Dezhi Hong, Rashmi Kulkarni, Jingbo Shang, Rajesh Gupta
Physics-Informed Data Denoising for Real-Life Sensing Systems. CoRR (2023)
Chengyu Dong
Generalized Uncertainty of Deep Neural Networks: Taxonomy and Applications. CoRR (2023)
Chengyu Dong, Zihan Wang, Jingbo Shang
Debiasing Made State-of-the-art: Revisiting the Simple Seed-based Weak Supervision for Text Classification. CoRR (2023)
Dheeraj Mekala, Adithya Samavedhi, Chengyu Dong, Jingbo Shang
SELFOOD: Self-Supervised Out-Of-Distribution Detection via Learning to Rank. EMNLP (Findings) (2023)
Chengyu Dong, Liyuan Liu, Hao Cheng, Jingbo Shang, Jianfeng Gao, Xiaodong Liu
Fast-ELECTRA for Efficient Pre-training. CoRR (2023)
Xiyuan Zhang, Xiaohan Fu, Diyan Teng, Chengyu Dong, Keerthivasan Vijayakumar, Jiayun Zhang, Ranak Roy Chowdhury, Junsheng Han, Dezhi Hong, Rashmi Kulkarni, Jingbo Shang, Rajesh K. Gupta
Physics-Informed Data Denoising for Real-Life Sensing Systems. SenSys (2023)
Chengyu Dong, Zihan Wang, Jingbo Shang
Debiasing Made State-of-the-art: Revisiting the Simple Seed-based Weak Supervision for Text Classification. EMNLP (2023)
Chengyu Dong, Liyuan Liu, Hao Cheng, Jingbo Shang, Jianfeng Gao, Xiaodong Liu
Understand and Modularize Generator Optimization in ELECTRA-style Pretraining. ICML (2023)
An Yan, Yu Wang, Yiwu Zhong, Zexue He, Petros Karypis, Zihan Wang, Chengyu Dong, Amilcare Gentili, Chun-Nan Hsu, Jingbo Shang, Julian J. McAuley
Robust and Interpretable Medical Image Classifiers via Concept Bottleneck Models. CoRR (2023)
Liyuan Liu, Chengyu Dong, Xiaodong Liu, Bin Yu, Jianfeng Gao
Bridging Discrete and Backpropagation: Straight-Through and Beyond. NeurIPS (2023)
An Yan, Yu Wang, Yiwu Zhong, Chengyu Dong, Zexue He, Yujie Lu, William Yang Wang, Jingbo Shang, Julian J. McAuley
Learning Concise and Descriptive Attributes for Visual Recognition. ICCV (2023)
An Yan, Yu Wang, Yiwu Zhong, Chengyu Dong, Zexue He, Yujie Lu, William Wang, Jingbo Shang, Julian J. McAuley
Learning Concise and Descriptive Attributes for Visual Recognition. CoRR (2023)
Dheeraj Mekala, Adithya Samavedhi, Chengyu Dong, Jingbo Shang
SELFOOD: Self-Supervised Out-Of-Distribution Detection via Learning to Rank. CoRR (2023)
Liyuan Liu, Chengyu Dong, Xiaodong Liu, Bin Yu, Jianfeng Gao
Bridging Discrete and Backpropagation: Straight-Through and Beyond. CoRR (2023)
Chengyu Dong, Liyuan Liu, Jingbo Shang
Label Noise in Adversarial Training: A Novel Perspective to Study Robust Overfitting. NeurIPS (2022)
Chengyu Dong, Liyuan Liu, Jingbo Shang
SoTeacher: A Student-oriented Teacher Network Training Framework for Knowledge Distillation. CoRR (2022)
Dheeraj Mekala, Chengyu Dong, Jingbo Shang
LOPS: Learning Order Inspired Pseudo-Label Selection for Weakly Supervised Text Classification. CoRR (2022)
Dheeraj Mekala, Chengyu Dong, Jingbo Shang
LOPS: Learning Order Inspired Pseudo-Label Selection for Weakly Supervised Text Classification. EMNLP (Findings) (2022)
Mingqi Lv, Chengyu Dong, Tieming Chen, Tiantian Zhu, Qijie Song, Yuan Fan
A Heterogeneous Graph Learning Model for Cyber-Attack Detection. CoRR (2021)
Zihan Wang, Chengyu Dong, Jingbo Shang
"Average" Approximates "First Principal Component"? An Empirical Analysis on Representations from Neural Language Models. CoRR (2021)
Zihan Wang, Chengyu Dong, Jingbo Shang
"Average" Approximates "First Principal Component"? An Empirical Analysis on Representations from Neural Language Models. EMNLP (1) (2021)
Chengyu Dong, Liyuan Liu, Jingbo Shang
Double Descent in Adversarial Training: An Implicit Label Noise Perspective. CoRR (2021)
Zichao Li, Dheeraj Mekala, Chengyu Dong, Jingbo Shang
BFClass: A Backdoor-free Text Classification Framework. CoRR (2021)
Zichao Li, Dheeraj Mekala, Chengyu Dong, Jingbo Shang
BFClass: A Backdoor-free Text Classification Framework. EMNLP (Findings) (2021)
Chengyu Dong, Liyuan Liu, Jingbo Shang
Data Profiling for Adversarial Training: On the Ruin of Problematic Data. CoRR (2021)
Zichao Li, Liyuan Liu, Chengyu Dong, Jingbo Shang
Overfitting or Underfitting? Understand Robustness Drop in Adversarial Training. CoRR (2020)
Chengyu Dong, Liyuan Liu, Zichao Li, Jingbo Shang
Towards Adaptive Residual Network Training: A Neural-ODE Perspective. ICML (2020)
Hongliang Bai, Chengyu Dong, Lezi Wang, Gang Qin, Kun Tao, Xiaofu Chang, Yuan Dong
Non-supervised macro segmentation of large-scale TV videos. Multimedia on Mobile Devices / Multimedia Content Access: Algorithms and Systems (2011)
Yuan Dong, Kun Tao, Hongliang Bai, Xiaofu Chang, Chengyu Dong, Jiqing Liu, Shan Gao, Jiwei Zhang, Tianxiang Zhou, Guorui Xiao
The France Telecom Orange Labs (Beijing) Video Semantic Indexing Systems - TRECVID 2010 Notebook Paper. TRECVID (2010)
Yuan Dong, Xianyu Zhao, Zhongxuan Liu, Chengyu Dong, Shiguo Lian, Ronggang Wang, Kun Tao, Jiqing Liu, Liang Lu, Zhe Wei, Guorui Xiao
The France Telecom Orange Labs (Beijing) Video High-level Feature Extraction Systems - TrecVid 2009 Notebook Paper. TRECVID (2009)
Chengyu Dong, Yuan Dong, Jing Li, Haila Wang
Support vector machines based text dependent speaker verification using HMM supervectors. Odyssey (2008)
Liang Lu, Yuan Dong, Xianyu Zhao, Jian Zhao, Chengyu Dong, Haila Wang
Analysis of subspace within-class covariance normalization for SVM-based speaker verification. INTERSPEECH (2008)
Jing Li, Yuan Dong, Chengyu Dong, Haila Wang
Score Normalization Technique for Text-Prompted Speaker Verification with Chinese Digits. ICIC (2) (2007)
Chengyu Dong, Yuan Dong, Dezhi Huang, Jun Guo, Haila Wang
A Boosting Approach for Utterance Verification. ICIC (2) (2006)