Dong Yu

45.1k total citations · 19 hit papers
375 papers, 26.9k citations indexed

About

Dong Yu is a scholar working on Artificial Intelligence, Signal Processing and Computer Vision and Pattern Recognition. According to data from OpenAlex, Dong Yu has authored 375 papers receiving a total of 26.9k indexed citations (citations by other indexed papers that have themselves been cited), including 333 papers in Artificial Intelligence, 223 papers in Signal Processing and 50 papers in Computer Vision and Pattern Recognition. Recurrent topics in Dong Yu's work include Speech Recognition and Synthesis (228 papers), Speech and Audio Processing (200 papers) and Music and Audio Processing (167 papers). Dong Yu is often cited by papers focused on Speech Recognition and Synthesis (228 papers), Speech and Audio Processing (200 papers) and Music and Audio Processing (167 papers). Dong Yu collaborates with scholars based in United States, China and United Kingdom. Dong Yu's co-authors include Li Deng, Abdelrahman Mohamed, George E. Dahl, Geoffrey E. Hinton, Patrick Nguyen, Brian Kingsbury, Andrew Senior, Tara N. Sainath, Vincent Vanhoucke and Navdeep Jaitly and has published in prestigious journals such as IEEE Transactions on Pattern Analysis and Machine Intelligence, Scientific Reports and ACM Transactions on Graphics.

In The Last Decade

Dong Yu

354 papers receiving 24.8k citations

Hit Papers

5 papers align trajectories

What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

Deep Neural Networks for Acoustic Modeling in Speech Recognition: The Shared Views of Four Research Groups

2012 6.6k citations Geoffrey E. Hinton, Li Deng et al. profile →
Deep Learning: Methods and Applications

2014 2.3k citations Li Deng, Dong Yu profile →
Convolutional Neural Networks for Speech Recognition

2014 1.6k citations Abdelrahman Mohamed, Li Deng et al. IEEE/ACM Transactions on Audio Speech and Language Processing profile →
Deep Neural Networks for Acoustic Modeling in Speech Recognition

2012 1.2k citations Geoffrey E. Hinton, Li Deng et al. profile →
Conversational speech transcription using context-dependent deep neural networks

2011 599 citations Frank Seide, Gang Li et al. profile →
Permutation invariant training of deep models for speaker-independent multi-talker speech separation

2017 541 citations Dong Yu et al. profile →
Multitalker Speech Separation With Utterance-Level Permutation Invariant Training of Deep Recurrent Neural Networks

2017 533 citations Dong Yu et al. IEEE/ACM Transactions on Audio Speech and Language Processing profile →
Speech emotion recognition using deep neural network and extreme learning machine

2014 524 citations Dong Yu et al. profile →
Recent advances in deep learning for speech research at Microsoft

2013 510 citations Li Deng, Kaisheng Yao et al. profile →
Feature engineering in Context-Dependent Deep Neural Networks for conversational speech transcription

2011 482 citations Frank Seide, Gang Li et al. profile →
An investigation of deep neural networks for noise robust speech recognition

2013 460 citations Michael L. Seltzer, Dong Yu et al. profile →
1-bit stochastic gradient descent and its application to data-parallel distributed training of speech DNNs

2014 439 citations Frank Seide, Hao Fu et al. profile →
Cross-language knowledge transfer using multilingual deep neural network with shared hidden layers

2013 400 citations Dong Yu, Li Deng et al. profile →
Deep Learning and Its Applications to Signal and Information Processing [Exploratory DSP

2010 336 citations Dong Yu, Li Deng profile →
KL-divergence regularized deep neural network adaptation for improved large vocabulary speech recognition

2013 300 citations Dong Yu, Kaisheng Yao et al. profile →
Large-scale malware classification using random projections and neural networks

2013 270 citations Li Deng, Dong Yu et al. profile →
Binary coding of speech spectrograms using a deep auto-encoder

2010 243 citations Li Deng, Michael L. Seltzer et al. profile →
Deep Crossing

2016 237 citations Dong Yu et al. profile →
Diffsound: Discrete Diffusion Model for Text-to-Sound Generation

2023 108 citations Jianwei Yu, Chao Weng et al. IEEE/ACM Transactions on Audio Speech and Language Processing profile →

Peers

Countries citing papers authored by Dong Yu

Since Specialization

Citations

This map shows the geographic impact of Dong Yu's research. It shows the number of citations coming from papers published by authors working in each country. You can also color the map by specialization and compare the number of citations received by Dong Yu with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Dong Yu more than expected).

Fields of papers citing papers by Dong Yu

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Dong Yu. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the papers produced by Dong Yu. The network helps show where Dong Yu may publish in the future.

Co-authorship network of co-authors of Dong Yu

This figure shows the co-authorship network connecting the top 25 collaborators of Dong Yu. A scholar is included among the top collaborators of Dong Yu based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Dong Yu. Dong Yu is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

Sort: Min cites: Since: Top N: Style:

20 of 20 papers shown

#	Work	Indexed citations
1	Federated Incremental Named Entity Recognition 2025 ·IEEE Transactions on Audio Speech and Language Processing ·Duzhen Zhang, (unknown), Chenxing Li, Jiahua Dong, Dong Yu	0
2	Identification of a nomogram predicting overall survival based on ADAP2-related apoptosis genes in gliomas 2024 ·International Immunopharmacology ·Chao Zhang, (unknown), (unknown), Kang Zhang, Chengcheng Wang, Shuai Wang, Shiqiang Hou, Dong Yu, Ning Lin	2
3	MMC: Advancing Multimodal Chart Understanding with Large-scale Instruction Tuning 2024 ·Fuxiao Liu, Xiaoyang Wang, Wenlin Yao, Jianshu Chen, Kaiqiang Song, (unknown), Yaser Yacoob, Dong Yu	11
4	InFoBench: Evaluating Instruction Following Ability in Large Language Models 2024 ·(unknown), Kaiqiang Song, (unknown), Wenlin Yao, (unknown), (unknown), (unknown), (unknown), (unknown), Dong Yu	4
5	Dense X Retrieval: What Retrieval Granularity Should We Use? 2024 ·Tong Chen, Hongwei Wang, Sihao Chen, Wenhao Yu, Kaixin Ma, (unknown), Hongming Zhang, Dong Yu	7
6	Neuralkalman: A Learnable Kalman Filter for Acoustic Echo Cancellation 2023 ·(unknown), Meng Yu, Hao Zhang, Dong Yu, DeLiang Wang	5
7	How do Words Contribute to Sentence Semantics? Revisiting Sentence Embeddings with a Perturbation Method 2023 ·Wenlin Yao, (unknown), Hongming Zhang, Xiaoman Pan, Kaiqiang Song, Dian Yu, Dong Yu, Jianshu Chen	0
8	D$^{2}$PSG: Multi-Party Dialogue Discourse Parsing as Sequence Generation 2023 ·IEEE/ACM Transactions on Audio Speech and Language Processing ·(unknown), Linfeng Song, (unknown), Junfeng Yao, Haitao Mi, Chen Lin, Jinsong Su, Dong Yu	2
9	Z-LaVI: Zero-Shot Language Solver Fueled by Visual Imagination 2022 ·Yue Yang, Wenlin Yao, Hongming Zhang, Xiaoyang Wang, Dong Yu, Jianshu Chen	7
10	MetaLogic: Logical Reasoning Explanations with Fine-Grained Structure 2022 ·(unknown), Hongming Zhang, (unknown), Xiaodan Liang, Changshui Zhang, Dong Yu	2
11	Toward Unifying Text Segmentation and Long Document Summarization 2022 ·(unknown), Kaiqiang Song, Xiaoyang Wang, Fei Liu, Dong Yu	11
12	Salience Allocation as Guidance for Abstractive Summarization 2022 ·Fei Wang, Kaiqiang Song, Hongming Zhang, Lifeng Jin, (unknown), Wenlin Yao, Xiaoyang Wang, Muhao Chen, Dong Yu	12
13	Integrating Lattice-Free MMI Into End-to-End Speech Recognition 2022 ·IEEE/ACM Transactions on Audio Speech and Language Processing ·(unknown), Jianwei Yu, Chao Weng, Yuexian Zou, Dong Yu	9
14	Deep learning based multi-source localization with source splitting and its effectiveness in multi-talker speech recognition 2022 ·Computer Speech & Language ·Aswin Shanmugam Subramanian, Chao Weng, Shinji Watanabe, Meng Yu, Dong Yu	59
15	Enhancing End-to-End Multi-Channel Speech Separation Via Spatial Feature Learning 2020 ·Rongzhi Gu, Shi-Xiong Zhang, Lianwu Chen, Yong Xu, Meng Yu, Dan Su, Yuexian Zou, Dong Yu	43
16	Neural Spatial Filter: Target Speaker Speech Separation Assisted with Directional Information 2019 ·Rongzhi Gu, Lianwu Chen, Shi-Xiong Zhang, (unknown), Yong Xu, Meng Yu, Dan Su, Yuexian Zou, Dong Yu	46
17	Improving speech recognition in reverberation using a room-aware deep neural network and multi-task learning 2015 ·Ritwik Giri, Michael L. Seltzer, Jasha Droppo, Dong Yu	55
18	1-bit stochastic gradient descent and its application to data-parallel distributed training of speech DNNs breakdown → 2014 ·Frank Seide, Hao Fu, Jasha Droppo, Gang Li, Dong Yu	439
19	Recurrent neural networks for language understanding 2013 ·Kaisheng Yao, Geoffrey Zweig, Mei-Yuh Hwang, Yangyang Shi, Dong Yu	195
20	Binary coding of speech spectrograms using a deep auto-encoder breakdown → 2010 ·Li Deng, Michael L. Seltzer, Dong Yu, Alex Acero, Abdelrahman Mohamed, Geoffrey E. Hinton	243

Rankless uses publication and citation data sourced from OpenAlex, an open and comprehensive bibliographic database. While OpenAlex provides broad and valuable coverage of the global research landscape, it—like all bibliographic datasets—has inherent limitations. These include incomplete records, variations in author disambiguation, differences in journal indexing, and delays in data updates. As a result, some metrics and network relationships displayed in Rankless may not fully capture the entirety of a scholar's output or impact.

Explore authors with similar magnitude of impact