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Qingming Tang
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2020 – today
- 2024
- [c24]Qin Zhang, Dongsheng An, Tianjun Xiao, Tong He, Qingming Tang, Ying Nian Wu, Joseph Tighe, Yifan Xing:
Learning for Transductive Threshold Calibration in Open-World Recognition. CVPR 2024: 17097-17106 - [c23]Huy Phan, Byeonggeun Kim, Vu Nguyen, Andrew Bydlon, Qingming Tang, Chieh-Chi Kao, Chao Wang:
Cross-Triggering Issue in Audio Event Detection and Mitigation. ICASSP 2024: 881-885 - [c22]Gene-Ping Yang, Yue Gu, Sashank Macha, Qingming Tang, Yuzong Liu:
On-Device Constrained Self-Supervised Learning for Keyword Spotting via Quantization Aware Pre-Training and Fine-Tuning. ICASSP 2024: 10951-10955 - [c21]Qin Zhang, Linghan Xu, Jun Fang, Qingming Tang, Ying Nian Wu, Joseph Tighe, Yifan Xing:
Threshold-Consistent Margin Loss for Open-World Deep Metric Learning. ICLR 2024 - 2023
- [c20]Meng Feng, Chieh-Chi Kao, Qingming Tang, Amit Solomon, Viktor Rozgic, Chao Wang:
FedRPO: Federated Relaxed Pareto Optimization for Acoustic Event Classification. ICASSP 2023: 1-5 - [c19]Guan-Ting Lin, Qingming Tang, Chieh-Chi Kao, Viktor Rozgic, Chao Wang:
Weight-Sharing Supernet for Searching Specialized Acoustic Event Classification Networks Across Device Constraints. ICASSP 2023: 1-5 - [c18]Gene-Ping Yang, Yue Gu, Qingming Tang, Dongsu Du, Yuzong Liu:
On-Device Constrained Self-Supervised Speech Representation Learning for Keyword Spotting via Knowledge Distillation. INTERSPEECH 2023: 1623-1627 - [i19]Guan-Ting Lin, Qingming Tang, Chieh-Chi Kao, Viktor Rozgic, Chao Wang:
Weight-sharing Supernet for Searching Specialized Acoustic Event Classification Networks Across Device Constraints. CoRR abs/2303.10351 (2023) - [i18]Qin Zhang, Dongsheng An, Tianjun Xiao, Tong He, Qingming Tang, Ying Nian Wu, Joseph Tighe, Yifan Xing:
Learning for Open-World Calibration with Graph Neural Networks. CoRR abs/2305.12039 (2023) - [i17]Gene-Ping Yang, Yue Gu, Qingming Tang, Dongsu Du, Yuzong Liu:
On-Device Constrained Self-Supervised Speech Representation Learning for Keyword Spotting via Knowledge Distillation. CoRR abs/2307.02720 (2023) - [i16]Qin Zhang, Linghan Xu, Qingming Tang, Jun Fang, Ying Nian Wu, Joe Tighe, Yifan Xing:
Calibration-Aware Margin Loss: Pushing the Accuracy-Calibration Consistency Pareto Frontier for Deep Metric Learning. CoRR abs/2307.04047 (2023) - [i15]Qingming Tang:
Speech representation learning: Learning bidirectional encoders with single-view, multi-view, and multi-task methods. CoRR abs/2308.00129 (2023) - 2022
- [c17]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 - [c16]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 - [c15]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 - [i14]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) - 2021
- [c14]Anthea Cheung, Qingming Tang, Chieh-Chi Kao, Ming Sun, Chao Wang:
Improved Student Model Training for Acoustic Event Detection Models. DCASE 2021: 181-185 - [c13]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
- [c12]Weiran Wang, Qingming Tang, Karen Livescu:
Unsupervised Pre-Training of Bidirectional Speech Encoders via Masked Reconstruction. ICASSP 2020: 6889-6893 - [i12]Weiran Wang, Qingming Tang, Karen Livescu:
Unsupervised Pre-training of Bidirectional Speech Encoders via Masked Reconstruction. CoRR abs/2001.10603 (2020)
2010 – 2019
- 2019
- [c11]Mingda Chen, Qingming Tang, Sam Wiseman, Kevin Gimpel:
Controllable Paraphrase Generation with a Syntactic Exemplar. ACL (1) 2019: 5972-5984 - [c10]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 - [c9]Mingda Chen, Qingming Tang, Sam Wiseman, Kevin Gimpel:
A Multi-Task Approach for Disentangling Syntax and Semantics in Sentence Representations. NAACL-HLT (1) 2019: 2453-2464 - [i11]Mingda Chen, Qingming Tang, Sam Wiseman, Kevin Gimpel:
A Multi-Task Approach for Disentangling Syntax and Semantics in Sentence Representations. CoRR abs/1904.01173 (2019) - [i10]Mingda Chen, Qingming Tang, Sam Wiseman, Kevin Gimpel:
Controllable Paraphrase Generation with a Syntactic Exemplar. CoRR abs/1906.00565 (2019) - [i9]Mingda Chen, Qingming Tang, Karen Livescu, Kevin Gimpel:
Variational Sequential Labelers for Semi-Supervised Learning. CoRR abs/1906.09535 (2019) - [i8]Xiaofeng Liu, B. V. K. Vijaya Kumar, Chao Yang, Qingming Tang, Jane You:
Dependency-aware Attention Control for Unconstrained Face Recognition with Image Sets. CoRR abs/1907.03030 (2019) - [i7]Chao Yang, Xiaofeng Liu, Qingming Tang, C.-C. Jay Kuo:
Towards Disentangled Representations for Human Retargeting by Multi-view Learning. CoRR abs/1912.06265 (2019) - 2018
- [j4]Jumin Zhao, Qingming Tang, Deng-ao Li, Biaokai Zhu, Yikun Li:
An efficient data gathering algorithm for large-scale wireless sensor networks with mobile sinks. Int. J. Ad Hoc Ubiquitous Comput. 28(1): 35-44 (2018) - [c8]Xiaofeng Liu, B. V. K. Vijaya Kumar, Chao Yang, Qingming Tang, Jane You:
Dependency-Aware Attention Control for Unconstrained Face Recognition with Image Sets. ECCV (11) 2018: 573-590 - [c7]Mingda Chen, Qingming Tang, Karen Livescu, Kevin Gimpel:
Variational Sequential Labelers for Semi-Supervised Learning. EMNLP 2018: 215-226 - [c6]Qingming Tang, Weiran Wang, Karen Livescu:
Acoustic Feature Learning Using Cross-Domain Articulatory Measurements. ICASSP 2018: 4849-4853 - [i6]Qingming Tang, Weiran Wang, Karen Livescu:
Acoustic feature learning using cross-domain articulatory measurements. CoRR abs/1803.06805 (2018) - [i5]Chao Yang, Yuhang Song, Xiaofeng Liu, Qingming Tang, C.-C. Jay Kuo:
Image Inpainting using Block-wise Procedural Training with Annealed Adversarial Counterpart. CoRR abs/1803.08943 (2018) - 2017
- [j3]Jumin Zhao, Biaokai Zhu, Xiaoyu Ji, XuFei Mao, Deng-Ao Li, Qingming Tang:
Up Torrent: An Efficient Data Collection Protocol in Wireless Sensor Networks. Ad Hoc Sens. Wirel. Networks 35(3-4): 261-280 (2017) - [j2]Stefan Canzar, Karlynn E. Neu, Qingming Tang, Patrick C. Wilson, Aly A. Khan:
BASIC: BCR assembly from single cells. Bioinform. 33(3): 425-427 (2017) - [j1]Jumin Zhao, Deng-ao Li, Haibin Wen, Qingming Tang:
Load balanced and efficient data collection protocol for wireless sensor networks. Int. J. High Perform. Comput. Netw. 10(6): 463-473 (2017) - [c5]Qingming Tang, Weiran Wang, Karen Livescu:
Acoustic Feature Learning via Deep Variational Canonical Correlation Analysis. INTERSPEECH 2017: 1656-1660 - [i4]Qingming Tang, Weiran Wang, Karen Livescu:
Acoustic Feature Learning via Deep Variational Canonical Correlation Analysis. CoRR abs/1708.04673 (2017) - 2016
- [i3]Qingming Tang, Lifu Tu, Weiran Wang, Jinbo Xu:
Network Inference by Learned Node-Specific Degree Prior. CoRR abs/1602.02386 (2016) - 2015
- [c4]Qingming Tang, Sheng Wang, Jian Peng, Jianzhu Ma, Jinbo Xu:
Bermuda: de novo assembly of transcripts with new insights for handling uneven coverage. BCB 2015: 166-175 - [c3]Qingming Tang, Siqi Sun, Jinbo Xu:
Learning Scale-Free Networks by Dynamic Node Specific Degree Prior. ICML 2015: 2247-2255 - [c2]Qingming Tang, Chao Yang, Jian Peng, Jinbo Xu:
Exact Hybrid Covariance Thresholding for Joint Graphical Lasso. ECML/PKDD (2) 2015: 593-607 - [i2]Qingming Tang, Chao Yang, Jian Peng, Jinbo Xu:
Exact Hybrid Covariance Thresholding for Joint Graphical Lasso. CoRR abs/1503.02128 (2015) - [i1]Qingming Tang, Siqi Sun, Chao Yang, Jinbo Xu:
Learning Scale Free Network by Node Specific Degree Prior. CoRR abs/1503.02129 (2015) - 2010
- [c1]Qingming Tang, Yingjie Wu, Shangbin Liao, Xiaodong Wang:
Utility-based k-anonymization. NCM 2010: 318-323
Coauthor Index
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last updated on 2024-10-07 21:20 CEST by the dblp team
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