Utility-based k-anonymization. - Qingming Tang; Yingjie Wu; Shangbin Liao; Xiaodong Wang 003 (NCM, 2010)

Bermuda: de novo assembly of transcripts with new insights for handling uneven coverage. - Qingming Tang; Sheng Wang 001; Jian Peng 001; Jianzhu Ma; Jinbo Xu (BCB, 2015)

Learning Scale-Free Networks by Dynamic Node Specific Degree Prior. - Qingming Tang; Siqi Sun; Jinbo Xu (ICML, 2015)

Exact Hybrid Covariance Thresholding for Joint Graphical Lasso. - Qingming Tang; Chao Yang; Jian Peng 001; Jinbo Xu (ECML/PKDD (2), 2015)

Learning Scale Free Network by Node Specific Degree Prior. - Qingming Tang; Siqi Sun; Chao Yang; Jinbo Xu (CoRR, 2015)

Network Inference by Learned Node-Specific Degree Prior. - Qingming Tang; Lifu Tu; Weiran Wang; Jinbo Xu (CoRR, 2016)

Acoustic Feature Learning via Deep Variational Canonical Correlation Analysis. - Qingming Tang; Weiran Wang; Karen Livescu (INTERSPEECH, 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)

BASIC: BCR assembly from single cells. - Stefan Canzar; Karlynn E. Neu; Qingming Tang; Patrick C. Wilson; Aly A. Khan (Bioinform., 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)

Dependency-Aware Attention Control for Unconstrained Face Recognition with Image Sets. - Xiaofeng Liu 001; B. V. K. Vijaya Kumar; Chao Yang 011; Qingming Tang; Jane You (ECCV (11), 2018)

Variational Sequential Labelers for Semi-Supervised Learning. - Mingda Chen; Qingming Tang; Karen Livescu; Kevin Gimpel (EMNLP, 2018)

Acoustic Feature Learning Using Cross-Domain Articulatory Measurements. - Qingming Tang; Weiran Wang; Karen Livescu (ICASSP, 2018)

Image Inpainting using Block-wise Procedural Training with Annealed Adversarial Counterpart. - Chao Yang 011; Yuhang Song 003; Xiaofeng Liu 001; Qingming Tang; C.-C. Jay Kuo (CoRR, 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)

Controllable Paraphrase Generation with a Syntactic Exemplar. - Mingda Chen; Qingming Tang; Sam Wiseman; Kevin Gimpel (ACL (1), 2019)

Hierarchical Residual-pyramidal Model for Large Context Based Media Presence Detection. - Qingming Tang; Ming Sun 007; Chieh-Chi Kao; Viktor Rozgic; Chao Wang 018 (ICASSP, 2019)

A Multi-Task Approach for Disentangling Syntax and Semantics in Sentence Representations. - Mingda Chen; Qingming Tang; Sam Wiseman; Kevin Gimpel (NAACL-HLT (1), 2019)

Towards Disentangled Representations for Human Retargeting by Multi-view Learning. - Chao Yang 011; Xiaofeng Liu 001; Qingming Tang; C.-C. Jay Kuo (CoRR, 2019)

Unsupervised Pre-Training of Bidirectional Speech Encoders via Masked Reconstruction. - Weiran Wang; Qingming Tang; Karen Livescu (ICASSP, 2020)

Improved Student Model Training for Acoustic Event Detection Models. - Anthea Cheung; Qingming Tang; Chieh-Chi Kao; Ming Sun 007; Chao Wang 018 (DCASE, 2021)

Multi-Task Self-Supervised Pre-Training for Music Classification. - Ho-Hsiang Wu; Chieh-Chi Kao; Qingming Tang; Ming Sun 007; Brian McFee; Juan Pablo Bello; Chao Wang 018 (ICASSP, 2021)

Federated Self-Supervised Learning for Acoustic Event Classification. - Meng Feng; Chieh-Chi Kao; Qingming Tang; Ming Sun 007; Viktor Rozgic; Spyros Matsoukas; Chao Wang 018 (ICASSP, 2022)

Wikitag: Wikipedia-Based Knowledge Embeddings Towards Improved Acoustic Event Classification. - Qin Zhang; Qingming Tang; Chieh-Chi Kao; Ming Sun 007; Yang Liu; Chao Wang 018 (ICASSP, 2022)

Improved Representation Learning For Acoustic Event Classification Using Tree-Structured Ontology. - Arman Zharmagambetov; Qingming Tang; Chieh-Chi Kao; Qin Zhang; Ming Sun 007; Viktor Rozgic; Jasha Droppo; Chao Wang 018 (ICASSP, 2022)

FedRPO: Federated Relaxed Pareto Optimization for Acoustic Event Classification. - Meng Feng; Chieh-Chi Kao; Qingming Tang; Amit Solomon; Viktor Rozgic; Chao Wang 018 (ICASSP, 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 018 (ICASSP, 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 (INTERSPEECH, 2023)

Learning for Open-World Calibration with Graph Neural Networks. - Qin Zhang; Dongsheng An; Tianjun Xiao; Tong He 002; Qingming Tang; Ying Nian Wu; Joseph Tighe; Yifan Xing (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)

Speech representation learning: Learning bidirectional encoders with single-view, multi-view, and multi-task methods. - Qingming Tang (CoRR, 2023)

Learning for Transductive Threshold Calibration in Open-World Recognition. - Qin Zhang; Dongsheng An; Tianjun Xiao; Tong He 002; Qingming Tang; Ying Nian Wu; Joseph Tighe; Yifan Xing (CVPR, 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 (ICASSP, 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 (ICASSP, 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 (ICLR, 2024)

Effective Techniques for Scaling Audio Encoder Pretraining. - Byeonggeun Kim; Andrew Bydlon; Qingming Tang; Huy Phan; Chieh-Chi Kao; Tao Zhang; Chao Wang (ICASSP, 2025)

IMPACT: Iterative Mask-based Parallel Decoding for Text-to-Audio Generation with Diffusion Modeling. - Kuan-Po Huang; Shu-Wen Yang; Huy Phan; Bo-Ru Lu; Byeonggeun Kim; Sashank Macha; Qingming Tang; Shalini Ghosh; Hung-yi Lee; Chieh-Chi Kao; Chao Wang (CoRR, 2025)

Generative Audio Language Modeling with Continuous-valued Tokens and Masked Next-Token Prediction. - Shu-Wen Yang; Byeonggeun Kim; Kuan-Po Huang; Qingming Tang; Huy Phan; Bo-Ru Lu; Harsha Sundar; Shalini Ghosh; Hung-yi Lee; Chieh-Chi Kao; Chao Wang (CoRR, 2025)