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ORCIDMing Sun 0007
Person information
- affiliation: Amazon Alexa
Other persons with the same name
- Ming Sun — disambiguation page
- Ming Sun 0001 — Carnegie Mellon University, School of Computer Science, Pittsburgh, PA, USA
- Ming Sun 0002
![[0000-0002-1306-9889]](https://dblp.uni-trier.de./img/orcid-mark.12x12.png "0000-0002-1306-9889")
— University of Missouri, Department of Electrical and Computer Engineering, Columbia, MO, USA - Ming Sun 0003 — Qiqihar University, College of Computer and Control Engineering, China (and 2 more)
- Ming Sun 0004 — Heriot Watt University, School of the Built Environment, Institute for Building and Urban Design, Edinburgh, UK
- Ming Sun 0005 — Arizona State University, Tempe, AZ, USA
- Ming Sun 0006 — Nankai University, School of Computer Science and Control Engineering, Tianjin, China
- Ming Sun 0008 — SenseTime Research, Beijing, China (and 1 more)
- Ming Sun 0009 — Nanjing University of Posts and Telecommunications, Nanjing, China
- Ming Sun 0010 — Institute of Information Engineering, Chinese Academy of Sciences, China
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2020 – today
- 2022
[c31]Qin Zhang, Qingming Tang, Chieh-Chi Kao, Ming Sun, Yang Liu, Chao Wang:
Wikitag: Wikipedia-Based Knowledge Embeddings Towards Improved Acoustic Event Classification. ICASSP 2022: 136-140- [c30]Arman Zharmagambetov, Qingming Tang, Chieh-Chi Kao, Qin Zhang, Ming Sun, Viktor Rozgic, Jasha Droppo, Chao Wang:
Improved Representation Learning For Acoustic Event Classification Using Tree-Structured Ontology. ICASSP 2022: 321-325 - [c29]Meng Feng, Chieh-Chi Kao, Qingming Tang, Ming Sun, Viktor Rozgic, Spyros Matsoukas, Chao Wang:
Federated Self-Supervised Learning for Acoustic Event Classification. ICASSP 2022: 481-485 - [c28]Rahil Parikh, Harshavardhan Sundar, Ming Sun, Chao Wang, Spyros Matsoukas:
Impact of Acoustic Event Tagging on Scene Classification in a Multi-Task Learning Framework. INTERSPEECH 2022: 4192-4196 - [i15]Meng Feng, Chieh-Chi Kao, Qingming Tang, Ming Sun, Viktor Rozgic, Spyros Matsoukas, Chao Wang:
Federated Self-Supervised Learning for Acoustic Event Classification. CoRR abs/2203.11997 (2022) - [i14]Rahil Parikh, Harshavardhan Sundar, Ming Sun, Chao Wang, Spyros Matsoukas:
Impact of Acoustic Event Tagging on Scene Classification in a Multi-Task Learning Framework. CoRR abs/2206.13476 (2022) - 2021
- [c27]Anthea Cheung, Qingming Tang, Chieh-Chi Kao, Ming Sun, Chao Wang:
Improved Student Model Training for Acoustic Event Detection Models. DCASE 2021: 181-185 - [c26]Hsin-Ping Huang, Krishna C. Puvvada, Ming Sun, Chao Wang:
Unsupervised and Semi-Supervised Few-Shot Acoustic Event Classification. ICASSP 2021: 331-335 - [c25]Ho-Hsiang Wu, Chieh-Chi Kao, Qingming Tang, Ming Sun, Brian McFee, Juan Pablo Bello, Chao Wang:
Multi-Task Self-Supervised Pre-Training for Music Classification. ICASSP 2021: 556-560 - [i13]Ho-Hsiang Wu, Chieh-Chi Kao, Qingming Tang, Ming Sun, Brian McFee, Juan Pablo Bello, Chao Wang:
Multi-Task Self-Supervised Pre-Training for Music Classification. CoRR abs/2102.03229 (2021) - 2020
- [c24]Bowen Shi, Ming Sun, Krishna C. Puvvada, Chieh-Chi Kao, Spyros Matsoukas, Chao Wang:
Few-Shot Acoustic Event Detection Via Meta Learning. ICASSP 2020: 76-80 - [c23]Chieh-Chi Kao, Ming Sun, Weiran Wang, Chao Wang:
A Comparison of Pooling Methods on LSTM Models for Rare Acoustic Event Classification. ICASSP 2020: 316-320 - [c22]Harshavardhan Sundar, Weiran Wang, Ming Sun, Chao Wang:
Raw Waveform Based End-to-end Deep Convolutional Network for Spatial Localization of Multiple Acoustic Sources. ICASSP 2020: 4642-4646 - [c21]Chieh-Chi Kao, Bowen Shi, Ming Sun, Chao Wang:
A Joint Framework for Audio Tagging and Weakly Supervised Acoustic Event Detection Using DenseNet with Global Average Pooling. INTERSPEECH 2020: 846-850 - [c20]Chun-Chieh Chang, Chieh-Chi Kao, Ming Sun, Chao Wang:
Intra-Utterance Similarity Preserving Knowledge Distillation for Audio Tagging. INTERSPEECH 2020: 851-855 - [c19]Yixin Gao, Noah D. Stein, Chieh-Chi Kao, Yunliang Cai, Ming Sun, Tao Zhang, Shiv Naga Prasad Vitaladevuni:
On Front-End Gain Invariant Modeling for Wake Word Spotting. INTERSPEECH 2020: 991-995 - [c18]Weimin Wang, Weiran Wang, Ming Sun, Chao Wang:
Acoustic Scene Analysis with Multi-Head Attention Networks. INTERSPEECH 2020: 1191-1195 - [i12]Chieh-Chi Kao, Ming Sun, Weiran Wang, Chao Wang:
A Comparison of Pooling Methods on LSTM Models for Rare Acoustic Event Classification. CoRR abs/2002.06279 (2020) - [i11]Bowen Shi, Ming Sun, Krishna C. Puvvada, Chieh-Chi Kao, Spyros Matsoukas, Chao Wang:
Few-shot acoustic event detection via meta-learning. CoRR abs/2002.09143 (2020) - [i10]Chieh-Chi Kao, Bowen Shi, Ming Sun, Chao Wang:
A Joint Framework for Audio Tagging and Weakly Supervised Acoustic Event Detection Using DenseNet with Global Average Pooling. CoRR abs/2008.03350 (2020) - [i9]Chun-Chieh Chang, Chieh-Chi Kao, Ming Sun, Chao Wang:
Intra-Utterance Similarity Preserving Knowledge Distillation for Audio Tagging. CoRR abs/2009.01759 (2020) - [i8]Yixin Gao, Noah D. Stein, Chieh-Chi Kao, Yunliang Cai, Ming Sun, Tao Zhang, Shiv Vitaladevuni:
On Front-end Gain Invariant Modeling for Wake Word Spotting. CoRR abs/2010.06676 (2020)
2010 – 2019
- 2019
- [c17]Bowen Shi, Ming Sun, Chieh-Chi Kao, Viktor Rozgic, Spyros Matsoukas, Chao Wang:
Semi-supervised Acoustic Event Detection Based on Tri-training. ICASSP 2019: 750-754 - [c16]Vipul Arora, Ming Sun, Chao Wang:
Deep Embeddings for Rare Audio Event Detection with Imbalanced Data. ICASSP 2019: 3297-3301 - [c15]Qingming Tang, Ming Sun, Chieh-Chi Kao, Viktor Rozgic, Chao Wang:
Hierarchical Residual-pyramidal Model for Large Context Based Media Presence Detection. ICASSP 2019: 3312-3316 - [c14]Srinivas Parthasarathy, Viktor Rozgic, Ming Sun, Chao Wang:
Improving Emotion Classification through Variational Inference of Latent Variables. ICASSP 2019: 7410-7414 - [c13]Yuriy Mishchenko, Yusuf Goren, Ming Sun, Chris Beauchene, Spyros Matsoukas, Oleg Rybakov, Shiv Naga Prasad Vitaladevuni:
Low-Bit Quantization and Quantization-Aware Training for Small-Footprint Keyword Spotting. ICMLA 2019: 706-711 - [c12]Chieh-Chi Kao, Ming Sun, Yixin Gao, Shiv Vitaladevuni, Chao Wang:
Sub-Band Convolutional Neural Networks for Small-Footprint Spoken Term Classification. INTERSPEECH 2019: 2195-2199 - [c11]Bowen Shi, Ming Sun, Chieh-Chi Kao, Viktor Rozgic, Spyros Matsoukas, Chao Wang:
Compression of Acoustic Event Detection Models with Quantized Distillation. INTERSPEECH 2019: 3639-3643 - [c10]Courtney Mansfield, Ming Sun, Yuzong Liu, Ankur Gandhe, Björn Hoffmeister:
Neural Text Normalization with Subword Units. NAACL-HLT (2) 2019: 190-196 - [i7]Bowen Shi, Ming Sun, Chieh-Chi Kao, Viktor Rozgic, Spyros Matsoukas, Chao Wang:
Semi-supervised Acoustic Event Detection based on tri-training. CoRR abs/1904.12926 (2019) - [i6]Bowen Shi, Ming Sun, Chieh-Chi Kao, Viktor Rozgic, Spyros Matsoukas, Chao Wang:
Compression of Acoustic Event Detection Models with Low-rank Matrix Factorization and Quantization Training. CoRR abs/1905.00855 (2019) - [i5]Bowen Shi, Ming Sun, Chieh-Chi Kao, Viktor Rozgic, Spyros Matsoukas, Chao Wang:
Compression of Acoustic Event Detection Models With Quantized Distillation. CoRR abs/1907.00873 (2019) - [i4]Chieh-Chi Kao, Ming Sun, Yixin Gao, Shiv Vitaladevuni, Chao Wang:
Sub-band Convolutional Neural Networks for Small-footprint Spoken Term Classification. CoRR abs/1907.01448 (2019) - [i3]Weimin Wang, Weiran Wang, Ming Sun, Chao Wang:
Acoustic scene analysis with multi-head attention networks. CoRR abs/1909.08961 (2019) - 2018
- [c9]Jinxi Guo, Ken'ichi Kumatani, Ming Sun, Minhua Wu, Anirudh Raju, Nikko Strom, Arindam Mandal:
Time-Delayed Bottleneck Highway Networks Using a DFT Feature for Keyword Spotting. ICASSP 2018: 5489-5493 - [c8]Minhua Wu, Sankaran Panchapagesan, Ming Sun, Jiacheng Gu, Ryan Thomas, Shiv Naga Prasad Vitaladevuni, Björn Hoffmeister, Arindam Mandal:
Monophone-Based Background Modeling for Two-Stage On-Device Wake Word Detection. ICASSP 2018: 5494-5498 - [c7]Chieh-Chi Kao, Weiran Wang, Ming Sun, Chao Wang:
R-CRNN: Region-based Convolutional Recurrent Neural Network for Audio Event Detection. INTERSPEECH 2018: 1358-1362 - [i2]Chieh-Chi Kao, Weiran Wang, Ming Sun, Chao Wang:
R-CRNN: Region-based Convolutional Recurrent Neural Network for Audio Event Detection. CoRR abs/1808.06627 (2018) - 2017
- [c6]Ming Sun, Andreas Schwarz, Minhua Wu, Nikko Strom, Spyros Matsoukas, Shiv Vitaladevuni:
An Empirical Study of Cross-Lingual Transfer Learning Techniques for Small-Footprint Keyword Spotting. ICMLA 2017: 255-260 - [c5]Ming Sun, David Snyder, Yixin Gao, Varun K. Nagaraja, Mike Rodehorst, Sankaran Panchapagesan, Nikko Strom, Spyros Matsoukas, Shiv Vitaladevuni:
Compressed Time Delay Neural Network for Small-Footprint Keyword Spotting. INTERSPEECH 2017: 3607-3611 - [i1]Ming Sun, Anirudh Raju, George Tucker, Sankaran Panchapagesan, Gengshen Fu, Arindam Mandal, Spyros Matsoukas, Nikko Strom, Shiv Vitaladevuni:
Max-Pooling Loss Training of Long Short-Term Memory Networks for Small-Footprint Keyword Spotting. CoRR abs/1705.02411 (2017) - 2016
- [c4]Sankaran Panchapagesan, Ming Sun, Aparna Khare, Spyros Matsoukas, Arindam Mandal, Björn Hoffmeister, Shiv Vitaladevuni:
Multi-Task Learning and Weighted Cross-Entropy for DNN-Based Keyword Spotting. INTERSPEECH 2016: 760-764 - [c3]George Tucker, Minhua Wu, Ming Sun, Sankaran Panchapagesan, Gengshen Fu, Shiv Vitaladevuni:
Model Compression Applied to Small-Footprint Keyword Spotting. INTERSPEECH 2016: 1878-1882 - [c2]Ming Sun, Anirudh Raju, George Tucker, Sankaran Panchapagesan, Gengshen Fu, Arindam Mandal, Spyros Matsoukas, Nikko Strom, Shiv Vitaladevuni:
Max-pooling loss training of long short-term memory networks for small-footprint keyword spotting. SLT 2016: 474-480 - 2015
- [c1]Ming Sun, Varun K. Nagaraja, Björn Hoffmeister, Shiv Vitaladevuni:
Model Shrinking for Embedded Keyword Spotting. ICMLA 2015: 369-374
Coauthor Index
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