Qingming Tang

According to our database, Qingming Tang authored at least 35 papers between 2010 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2024

Threshold-Consistent Margin Loss for Open-World Deep Metric Learning.

Qin Zhang, Linghan Xu, Jun Fang, Qingming Tang, Ying Nian Wu, Joseph Tighe, Yifan Xing

Proceedings of the Twelfth International Conference on Learning Representations, 2024

On-Device Constrained Self-Supervised Learning for Keyword Spotting via Quantization Aware Pre-Training and Fine-Tuning.

Gene-Ping Yang, Yue Gu, Sashank Macha, Qingming Tang, Yuzong Liu

Proceedings of the IEEE International Conference on Acoustics, 2024

Cross-Triggering Issue in Audio Event Detection and Mitigation.

Huy Phan, Byeonggeun Kim, Vu Nguyen, Andrew Bydlon, Qingming Tang, Chieh-Chi Kao, Chao Wang

Proceedings of the IEEE International Conference on Acoustics, 2024

Learning for Transductive Threshold Calibration in Open-World Recognition.

Qin Zhang, Dongsheng An, Tianjun Xiao, Tong He, Qingming Tang, Ying Nian Wu, Joseph Tighe, Yifan Xing

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2024

2023

Speech representation learning: Learning bidirectional encoders with single-view, multi-view, and multi-task methods.

Qingming Tang

CoRR, 2023

Calibration-Aware Margin Loss: Pushing the Accuracy-Calibration Consistency Pareto Frontier for Deep Metric Learning.

Qin Zhang, Linghan Xu, Qingming Tang, Jun Fang, Ying Nian Wu, Joe Tighe, Yifan Xing

CoRR, 2023

Learning for Open-World Calibration with Graph Neural Networks.

Qin Zhang, Dongsheng An, Tianjun Xiao, Tong He, Qingming Tang, Ying Nian Wu, Joseph Tighe, Yifan Xing

CoRR, 2023

On-Device Constrained Self-Supervised Speech Representation Learning for Keyword Spotting via Knowledge Distillation.

Gene-Ping Yang, Yue Gu, Qingming Tang, Dongsu Du, Yuzong Liu

Proceedings of the 24th Annual Conference of the International Speech Communication Association, 2023

Weight-Sharing Supernet for Searching Specialized Acoustic Event Classification Networks Across Device Constraints.

Guan-Ting Lin, Qingming Tang, Chieh-Chi Kao, Viktor Rozgic, Chao Wang

Proceedings of the IEEE International Conference on Acoustics, 2023

FedRPO: Federated Relaxed Pareto Optimization for Acoustic Event Classification.

Meng Feng, Chieh-Chi Kao, Qingming Tang, Amit Solomon, Viktor Rozgic, Chao Wang

Proceedings of the IEEE International Conference on Acoustics, 2023

2022

Improved Representation Learning For Acoustic Event Classification Using Tree-Structured Ontology.

Arman Zharmagambetov, Qingming Tang, Chieh-Chi Kao, Qin Zhang, Ming Sun, Viktor Rozgic, Jasha Droppo, Chao Wang

Proceedings of the IEEE International Conference on Acoustics, 2022

Wikitag: Wikipedia-Based Knowledge Embeddings Towards Improved Acoustic Event Classification.

Qin Zhang, Qingming Tang, Chieh-Chi Kao, Ming Sun, Yang Liu, Chao Wang

Proceedings of the IEEE International Conference on Acoustics, 2022

Federated Self-Supervised Learning for Acoustic Event Classification.

Meng Feng, Chieh-Chi Kao, Qingming Tang, Ming Sun, Viktor Rozgic, Spyros Matsoukas, Chao Wang

Proceedings of the IEEE International Conference on Acoustics, 2022

2021

Multi-Task Self-Supervised Pre-Training for Music Classification.

Ho-Hsiang Wu, Chieh-Chi Kao, Qingming Tang, Ming Sun, Brian McFee, Juan Pablo Bello, Chao Wang

Proceedings of the IEEE International Conference on Acoustics, 2021

Improved Student Model Training for Acoustic Event Detection Models.

Anthea Cheung, Qingming Tang, Chieh-Chi Kao, Ming Sun, Chao Wang

Proceedings of the 6th Workshop on Detection and Classification of Acoustic Scenes and Events 2021 (DCASE 2021), 2021

2020

Unsupervised Pre-Training of Bidirectional Speech Encoders via Masked Reconstruction.

Weiran Wang, Qingming Tang, Karen Livescu

Proceedings of the 2020 IEEE International Conference on Acoustics, 2020

2019

Towards Disentangled Representations for Human Retargeting by Multi-view Learning.

Chao Yang, Xiaofeng Liu, Qingming Tang, C.-C. Jay Kuo

CoRR, 2019

A Multi-Task Approach for Disentangling Syntax and Semantics in Sentence Representations.

Mingda Chen, Qingming Tang, Sam Wiseman, Kevin Gimpel

Proceedings of the 2019 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies, 2019

Hierarchical Residual-pyramidal Model for Large Context Based Media Presence Detection.

Qingming Tang, Ming Sun, Chieh-Chi Kao, Viktor Rozgic, Chao Wang

Proceedings of the IEEE International Conference on Acoustics, 2019

Controllable Paraphrase Generation with a Syntactic Exemplar.

Mingda Chen, Qingming Tang, Sam Wiseman, Kevin Gimpel

Proceedings of the 57th Conference of the Association for Computational Linguistics, 2019

2018

An efficient data gathering algorithm for large-scale wireless sensor networks with mobile sinks.

Jumin Zhao, Qingming Tang, Deng-ao Li, Biaokai Zhu, Yikun Li

Int. J. Ad Hoc Ubiquitous Comput., 2018

Image Inpainting using Block-wise Procedural Training with Annealed Adversarial Counterpart.

Chao Yang, Yuhang Song, Xiaofeng Liu, Qingming Tang, C.-C. Jay Kuo

CoRR, 2018

Acoustic Feature Learning Using Cross-Domain Articulatory Measurements.

Qingming Tang, Weiran Wang, Karen Livescu

Proceedings of the 2018 IEEE International Conference on Acoustics, 2018

Variational Sequential Labelers for Semi-Supervised Learning.

Mingda Chen, Qingming Tang, Karen Livescu, Kevin Gimpel

Proceedings of the 2018 Conference on Empirical Methods in Natural Language Processing, Brussels, Belgium, October 31, 2018

Dependency-Aware Attention Control for Unconstrained Face Recognition with Image Sets.

Xiaofeng Liu, B. V. K. Vijaya Kumar, Chao Yang, Qingming Tang, Jane You

Proceedings of the Computer Vision - ECCV 2018, 2018

2017

Load balanced and efficient data collection protocol for wireless sensor networks.

Jumin Zhao, Deng-ao Li, Haibin Wen, Qingming Tang

Int. J. High Perform. Comput. Netw., 2017

BASIC: BCR assembly from single cells.

Stefan Canzar, Karlynn E. Neu, Qingming Tang, Patrick C. Wilson, Aly A. Khan

Bioinform., 2017

Up Torrent: An Efficient Data Collection Protocol in Wireless Sensor Networks.

Jumin Zhao, Biaokai Zhu, Xiaoyu Ji, XuFei Mao, Deng-Ao Li, Qingming Tang

Ad Hoc Sens. Wirel. Networks, 2017

Acoustic Feature Learning via Deep Variational Canonical Correlation Analysis.

Qingming Tang, Weiran Wang, Karen Livescu

Proceedings of the 18th Annual Conference of the International Speech Communication Association, 2017

2016

Network Inference by Learned Node-Specific Degree Prior.

Qingming Tang, Lifu Tu, Weiran Wang, Jinbo Xu

CoRR, 2016

2015

Learning Scale Free Network by Node Specific Degree Prior.

Qingming Tang, Siqi Sun, Chao Yang, Jinbo Xu

CoRR, 2015

Exact Hybrid Covariance Thresholding for Joint Graphical Lasso.

Qingming Tang, Chao Yang, Jian Peng, Jinbo Xu

Proceedings of the Machine Learning and Knowledge Discovery in Databases, 2015

Learning Scale-Free Networks by Dynamic Node Specific Degree Prior.

Qingming Tang, Siqi Sun, Jinbo Xu

Proceedings of the 32nd International Conference on Machine Learning, 2015

Bermuda: de novo assembly of transcripts with new insights for handling uneven coverage.

Qingming Tang, Sheng Wang, Jian Peng, Jianzhu Ma, Jinbo Xu

Proceedings of the 6th ACM Conference on Bioinformatics, 2015

2010

Utility-based k-anonymization.

Qingming Tang, Yingjie Wu, Shangbin Liao, Xiaodong Wang

Proceedings of the International Conference on Networked Computing and Advanced Information Management, 2010