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ORCIDChengyu Dong
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2020 – today
- 2024
[c22]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: 4348-4362- [c21]Letian Peng, Yi Gu, Chengyu Dong, Zihan Wang, Jingbo Shang:
Text Grafting: Near-Distribution Weak Supervision for Minority Classes in Text Classification. EMNLP 2024: 3741-3752 - [c20]Chengyu Dong, Liyuan Liu, Hao Cheng, Jingbo Shang, Jianfeng Gao, Xiaodong Liu:
Fast-ELECTRA for Efficient Pre-training. ICLR 2024 - [c19]Chengyu Dong, Liyuan Liu, Jingbo Shang:
Toward Student-oriented Teacher Network Training for Knowledge Distillation. ICLR 2024 - [i20]Shang Zhou, Feng Yao, Chengyu Dong, Zihan Wang, Jingbo Shang:
Evaluating the Smooth Control of Attribute Intensity in Text Generation with LLMs. CoRR abs/2406.04460 (2024) - [i19]Letian Peng, Yi Gu, Chengyu Dong, Zihan Wang, Jingbo Shang:
Text Grafting: Near-Distribution Weak Supervision for Minority Classes in Text Classification. CoRR abs/2406.11115 (2024) - [i18]Alex Nguyen, Dheeraj Mekala, Chengyu Dong, Jingbo Shang:
When is the consistent prediction likely to be a correct prediction? CoRR abs/2407.05778 (2024) - [i17]Chenyang An, Shima Imani, Feng Yao, Chengyu Dong, Ali Abbasi, Harsh Shrivastava, Samuel Buss, Jingbo Shang, Gayathri Mahalingam, Pramod Sharma, Maurice Diesendruck:
Next-Token Prediction Task Assumes Optimal Data Ordering for LLM Training in Proof Generation. CoRR abs/2411.00863 (2024) - 2023
- [c18]Chengyu Dong, Zihan Wang, Jingbo Shang:
Debiasing Made State-of-the-art: Revisiting the Simple Seed-based Weak Supervision for Text Classification. EMNLP 2023: 483-493 - [c17]Dheeraj Mekala, Adithya Samavedhi, Chengyu Dong, Jingbo Shang:
SELFOOD: Self-Supervised Out-Of-Distribution Detection via Learning to Rank. EMNLP (Findings) 2023: 10721-10734 - [c16]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: 3067-3077 - [c15]Chengyu Dong, Liyuan Liu, Hao Cheng, Jingbo Shang, Jianfeng Gao, Xiaodong Liu:
Understand and Modularize Generator Optimization in ELECTRA-style Pretraining. ICML 2023: 8244-8259 - [c14]Liyuan Liu, Chengyu Dong, Xiaodong Liu, Bin Yu, Jianfeng Gao:
Bridging Discrete and Backpropagation: Straight-Through and Beyond. NeurIPS 2023 - [c13]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: 83-96 - [i16]Chengyu Dong:
Generalized Uncertainty of Deep Neural Networks: Taxonomy and Applications. CoRR abs/2302.01440 (2023) - [i15]Liyuan Liu, Chengyu Dong, Xiaodong Liu, Bin Yu, Jianfeng Gao:
Bridging Discrete and Backpropagation: Straight-Through and Beyond. CoRR abs/2304.08612 (2023) - [i14]Dheeraj Mekala, Adithya Samavedhi, Chengyu Dong, Jingbo Shang:
SELFOOD: Self-Supervised Out-Of-Distribution Detection via Learning to Rank. CoRR abs/2305.14696 (2023) - [i13]Chengyu Dong, Zihan Wang, Jingbo Shang:
Debiasing Made State-of-the-art: Revisiting the Simple Seed-based Weak Supervision for Text Classification. CoRR abs/2305.14794 (2023) - [i12]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 abs/2308.03685 (2023) - [i11]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 abs/2310.03182 (2023) - [i10]Chengyu Dong, Liyuan Liu, Hao Cheng, Jingbo Shang, Jianfeng Gao, Xiaodong Liu:
Fast-ELECTRA for Efficient Pre-training. CoRR abs/2310.07347 (2023) - [i9]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 abs/2311.06968 (2023) - 2022
- [c12]Dheeraj Mekala, Chengyu Dong, Jingbo Shang:
LOPS: Learning Order Inspired Pseudo-Label Selection for Weakly Supervised Text Classification. EMNLP (Findings) 2022: 4894-4908 - [c11]Chengyu Dong, Liyuan Liu, Jingbo Shang:
Label Noise in Adversarial Training: A Novel Perspective to Study Robust Overfitting. NeurIPS 2022 - [i8]Dheeraj Mekala, Chengyu Dong, Jingbo Shang:
LOPS: Learning Order Inspired Pseudo-Label Selection for Weakly Supervised Text Classification. CoRR abs/2205.12528 (2022) - [i7]Chengyu Dong, Liyuan Liu, Jingbo Shang:
SoTeacher: A Student-oriented Teacher Network Training Framework for Knowledge Distillation. CoRR abs/2206.06661 (2022) - 2021
- [c10]Zichao Li, Dheeraj Mekala, Chengyu Dong, Jingbo Shang:
BFClass: A Backdoor-free Text Classification Framework. EMNLP (Findings) 2021: 444-453 - [c9]Zihan Wang, Chengyu Dong, Jingbo Shang:
"Average" Approximates "First Principal Component"? An Empirical Analysis on Representations from Neural Language Models. EMNLP (1) 2021: 5594-5603 - [i6]Chengyu Dong, Liyuan Liu, Jingbo Shang:
Data Profiling for Adversarial Training: On the Ruin of Problematic Data. CoRR abs/2102.07437 (2021) - [i5]Zihan Wang, Chengyu Dong, Jingbo Shang:
"Average" Approximates "First Principal Component"? An Empirical Analysis on Representations from Neural Language Models. CoRR abs/2104.08673 (2021) - [i4]Zichao Li, Dheeraj Mekala, Chengyu Dong, Jingbo Shang:
BFClass: A Backdoor-free Text Classification Framework. CoRR abs/2109.10855 (2021) - [i3]Chengyu Dong, Liyuan Liu, Jingbo Shang:
Double Descent in Adversarial Training: An Implicit Label Noise Perspective. CoRR abs/2110.03135 (2021) - [i2]Mingqi Lv, Chengyu Dong, Tieming Chen, Tiantian Zhu, Qijie Song, Yuan Fan:
A Heterogeneous Graph Learning Model for Cyber-Attack Detection. CoRR abs/2112.08986 (2021) - 2020
- [c8]Chengyu Dong, Liyuan Liu, Zichao Li, Jingbo Shang:
Towards Adaptive Residual Network Training: A Neural-ODE Perspective. ICML 2020: 2616-2626 - [i1]Zichao Li, Liyuan Liu, Chengyu Dong, Jingbo Shang:
Overfitting or Underfitting? Understand Robustness Drop in Adversarial Training. CoRR abs/2010.08034 (2020)
2010 – 2019
- 2011
- [c7]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: 78811F - 2010
- [c6]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
2000 – 2009
- 2009
- [c5]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 - 2008
- [c4]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: 1373-1376 - [c3]Chengyu Dong, Yuan Dong, Jing Li, Haila Wang:
Support vector machines based text dependent speaker verification using HMM supervectors. Odyssey 2008: 31 - 2007
- [c2]Jing Li, Yuan Dong, Chengyu Dong, Haila Wang:
Score Normalization Technique for Text-Prompted Speaker Verification with Chinese Digits. ICIC (2) 2007: 1082-1089 - 2006
- [c1]Chengyu Dong, Yuan Dong, Dezhi Huang, Jun Guo, Haila Wang:
A Boosting Approach for Utterance Verification. ICIC (2) 2006: 1170-1176
Coauthor Index
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