Chengyu Dong - RankMe

45 papers A* 9A 2Misc 1Journal 22Unranked 11

Year	Rank	Type	Title / Venue / Authors
2026	A	`conf`	Discard-Based Garbage Collection for Distributed Log-Structured Storage Systems in ByteDance. FAST Runhua Bian, Liqiang Zhang, Jinxin Liu, Jiacheng Zhang, Jianong Zhong, Jiahao Gu, Hao Guo, Zhihong Guo, Yunhao Li, Fenghao Zhang, Jiangkun Zhao, Yangming Chen, Guojun Li, Ruwen Fan, Haijia Shen, Chengyu Dong, Yao Wang, Rui Shi, Jiwu Shu, Youyou Lu
2025	J	`jnl`	Linear Correlation in LM's Compositional Generalization and Hallucination. CoRR Letian Peng, Chenyang An, Shibo Hao, Chengyu Dong, Jingbo Shang
2025	J	`jnl`	ReMem: Mutual Information-Aware Fine-tuning of Pretrained Vision Transformers for Effective Knowledge Distillation. CoRR Chengyu Dong, Huan Gui, Noveen Sachdeva, Long Jin, Ke Yin, Jingbo Shang, Lichan Hong, Ed H. Chi, Zhe Zhao
2024	—	`conf`	Evaluating the Smooth Control of Attribute Intensity in Text Generation with LLMs. ACL (Findings) Shang Zhou, Feng Yao, Chengyu Dong, Zihan Wang, Jingbo Shang
2024	J	`jnl`	Evaluating the Smooth Control of Attribute Intensity in Text Generation with LLMs. CoRR Shang Zhou, Feng Yao, Chengyu Dong, Zihan Wang, Jingbo Shang
2024	A*	`conf`	Fast-ELECTRA for Efficient Pre-training. ICLR Chengyu Dong, Liyuan Liu, Hao Cheng, Jingbo Shang, Jianfeng Gao, Xiaodong Liu
2024	J	`jnl`	Next-Token Prediction Task Assumes Optimal Data Ordering for LLM Training in Proof Generation. CoRR Chenyang An, Shima Imani, Feng Yao, Chengyu Dong, Ali Abbasi, Harsh Shrivastava, Samuel Buss, Jingbo Shang, Gayathri Mahalingam, Pramod Sharma, Maurice Diesendruck
2024	A*	`conf`	Text Grafting: Near-Distribution Weak Supervision for Minority Classes in Text Classification. EMNLP Letian Peng, Yi Gu, Chengyu Dong, Zihan Wang, Jingbo Shang
2024	J	`jnl`	Text Grafting: Near-Distribution Weak Supervision for Minority Classes in Text Classification. CoRR Letian Peng, Yi Gu, Chengyu Dong, Zihan Wang, Jingbo Shang
2024	A*	`conf`	Toward Student-oriented Teacher Network Training for Knowledge Distillation. ICLR Chengyu Dong, Liyuan Liu, Jingbo Shang
2024	J	`jnl`	When is the consistent prediction likely to be a correct prediction? CoRR Alex Nguyen, Dheeraj Mekala, Chengyu Dong, Jingbo Shang
2023	A*	`conf`	Bridging Discrete and Backpropagation: Straight-Through and Beyond. NeurIPS Liyuan Liu, Chengyu Dong, Xiaodong Liu, Bin Yu, Jianfeng Gao
2023	J	`jnl`	Bridging Discrete and Backpropagation: Straight-Through and Beyond. CoRR Liyuan Liu, Chengyu Dong, Xiaodong Liu, Bin Yu, Jianfeng Gao
2023	A*	`conf`	Debiasing Made State-of-the-art: Revisiting the Simple Seed-based Weak Supervision for Text Classification. EMNLP Chengyu Dong, Zihan Wang, Jingbo Shang
2023	J	`jnl`	Debiasing Made State-of-the-art: Revisiting the Simple Seed-based Weak Supervision for Text Classification. CoRR Chengyu Dong, Zihan Wang, Jingbo Shang
2023	J	`jnl`	Fast-ELECTRA for Efficient Pre-training. CoRR Chengyu Dong, Liyuan Liu, Hao Cheng, Jingbo Shang, Jianfeng Gao, Xiaodong Liu
2023	J	`jnl`	Generalized Uncertainty of Deep Neural Networks: Taxonomy and Applications. CoRR Chengyu Dong
2023	A*	`conf`	Learning Concise and Descriptive Attributes for Visual Recognition. ICCV An Yan, Yu Wang, Yiwu Zhong, Chengyu Dong, Zexue He, Yujie Lu, William Yang Wang, Jingbo Shang, Julian J. McAuley
2023	J	`jnl`	Learning Concise and Descriptive Attributes for Visual Recognition. CoRR An Yan, Yu Wang, Yiwu Zhong, Chengyu Dong, Zexue He, Yujie Lu, William Wang, Jingbo Shang, Julian J. McAuley
2023	Misc	`conf`	Physics-Informed Data Denoising for Real-Life Sensing Systems. SenSys 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
2023	J	`jnl`	Physics-Informed Data Denoising for Real-Life Sensing Systems. CoRR 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
2023	J	`jnl`	Robust and Interpretable Medical Image Classifiers via Concept Bottleneck Models. CoRR An Yan, Yu Wang, Yiwu Zhong, Zexue He, Petros Karypis, Zihan Wang, Chengyu Dong, Amilcare Gentili, Chun-Nan Hsu, Jingbo Shang, Julian J. McAuley
2023	—	`conf`	SELFOOD: Self-Supervised Out-Of-Distribution Detection via Learning to Rank. EMNLP (Findings) Dheeraj Mekala, Adithya Samavedhi, Chengyu Dong, Jingbo Shang
2023	J	`jnl`	SELFOOD: Self-Supervised Out-Of-Distribution Detection via Learning to Rank. CoRR Dheeraj Mekala, Adithya Samavedhi, Chengyu Dong, Jingbo Shang
2023	A*	`conf`	Understand and Modularize Generator Optimization in ELECTRA-style Pretraining. ICML Chengyu Dong, Liyuan Liu, Hao Cheng, Jingbo Shang, Jianfeng Gao, Xiaodong Liu
2022	—	`conf`	LOPS: Learning Order Inspired Pseudo-Label Selection for Weakly Supervised Text Classification. EMNLP (Findings) Dheeraj Mekala, Chengyu Dong, Jingbo Shang
2022	J	`jnl`	LOPS: Learning Order Inspired Pseudo-Label Selection for Weakly Supervised Text Classification. CoRR Dheeraj Mekala, Chengyu Dong, Jingbo Shang
2022	A*	`conf`	Label Noise in Adversarial Training: A Novel Perspective to Study Robust Overfitting. NeurIPS Chengyu Dong, Liyuan Liu, Jingbo Shang
2022	J	`jnl`	SoTeacher: A Student-oriented Teacher Network Training Framework for Knowledge Distillation. CoRR Chengyu Dong, Liyuan Liu, Jingbo Shang
2021	—	`conf`	"Average" Approximates "First Principal Component"? An Empirical Analysis on Representations from Neural Language Models. EMNLP (1) Zihan Wang, Chengyu Dong, Jingbo Shang
2021	J	`jnl`	"Average" Approximates "First Principal Component"? An Empirical Analysis on Representations from Neural Language Models. CoRR Zihan Wang, Chengyu Dong, Jingbo Shang
2021	J	`jnl`	A Heterogeneous Graph Learning Model for Cyber-Attack Detection. CoRR Mingqi Lv, Chengyu Dong, Tieming Chen, Tiantian Zhu, Qijie Song, Yuan Fan
2021	—	`conf`	BFClass: A Backdoor-free Text Classification Framework. EMNLP (Findings) Zichao Li, Dheeraj Mekala, Chengyu Dong, Jingbo Shang
2021	J	`jnl`	BFClass: A Backdoor-free Text Classification Framework. CoRR Zichao Li, Dheeraj Mekala, Chengyu Dong, Jingbo Shang
2021	J	`jnl`	Data Profiling for Adversarial Training: On the Ruin of Problematic Data. CoRR Chengyu Dong, Liyuan Liu, Jingbo Shang
2021	J	`jnl`	Double Descent in Adversarial Training: An Implicit Label Noise Perspective. CoRR Chengyu Dong, Liyuan Liu, Jingbo Shang
2020	J	`jnl`	Overfitting or Underfitting? Understand Robustness Drop in Adversarial Training. CoRR Zichao Li, Liyuan Liu, Chengyu Dong, Jingbo Shang
2020	A*	`conf`	Towards Adaptive Residual Network Training: A Neural-ODE Perspective. ICML Chengyu Dong, Liyuan Liu, Zichao Li, Jingbo Shang
2011	—	`conf`	Non-supervised macro segmentation of large-scale TV videos. Multimedia on Mobile Devices / Multimedia Content Access: Algorithms and Systems Hongliang Bai, Chengyu Dong, Lezi Wang, Gang Qin, Kun Tao, Xiaofu Chang, Yuan Dong
2010	—	`conf`	The France Telecom Orange Labs (Beijing) Video Semantic Indexing Systems - TRECVID 2010 Notebook Paper. TRECVID Yuan Dong, Kun Tao, Hongliang Bai, Xiaofu Chang, Chengyu Dong, Jiqing Liu, Shan Gao, Jiwei Zhang, Tianxiang Zhou, Guorui Xiao
2009	—	`conf`	The France Telecom Orange Labs (Beijing) Video High-level Feature Extraction Systems - TrecVid 2009 Notebook Paper. TRECVID Yuan Dong, Xianyu Zhao, Zhongxuan Liu, Chengyu Dong, Shiguo Lian, Ronggang Wang, Kun Tao, Jiqing Liu, Liang Lu, Zhe Wei, Guorui Xiao
2008	A	`conf`	Analysis of subspace within-class covariance normalization for SVM-based speaker verification. INTERSPEECH Liang Lu, Yuan Dong, Xianyu Zhao, Jian Zhao, Chengyu Dong, Haila Wang
2008	—	`conf`	Support vector machines based text dependent speaker verification using HMM supervectors. Odyssey Chengyu Dong, Yuan Dong, Jing Li, Haila Wang
2007	—	`conf`	Score Normalization Technique for Text-Prompted Speaker Verification with Chinese Digits. ICIC (2) Jing Li, Yuan Dong, Chengyu Dong, Haila Wang
2006	—	`conf`	A Boosting Approach for Utterance Verification. ICIC (2) Chengyu Dong, Yuan Dong, Dezhi Huang, Jun Guo, Haila Wang