| 2025 | ICASSP | Effective Techniques for Scaling Audio Encoder Pretraining. | Byeonggeun Kim, Andrew Bydlon, Qingming Tang, Huy Phan, Chieh-Chi Kao, Tao Zhang, Chao Wang |
| 2025 | ICML | 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 |
| 2025 | ICML | 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, Harshavardhan Sundar, Shalini Ghosh, Hung-yi Lee, Chieh-Chi Kao, Chao Wang |
| 2024 | CVPR | 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 |
| 2024 | ICASSP | Cross-Triggering Issue in Audio Event Detection and Mitigation. | Huy Phan, Byeonggeun Kim, Vu Nguyen, Andrew Bydlon, Qingming Tang, Chieh-Chi Kao, Chao Wang |
| 2024 | ICASSP | 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 |
| 2024 | ICLR | 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 |
| 2023 | ICASSP | FedRPO: Federated Relaxed Pareto Optimization for Acoustic Event Classification. | Meng Feng, Chieh-Chi Kao, Qingming Tang, Amit Solomon, Viktor Rozgic, Chao Wang |
| 2023 | ICASSP | 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 |
| 2023 | Interspeech | 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 |
| 2022 | ICASSP | Federated Self-Supervised Learning for Acoustic Event Classification. | Meng Feng, Chieh-Chi Kao, Qingming Tang, Ming Sun, Viktor Rozgic, Spyros Matsoukas, Chao Wang |
| 2022 | ICASSP | Wikitag: Wikipedia-Based Knowledge Embeddings Towards Improved Acoustic Event Classification. | Qin Zhang, Qingming Tang, Chieh-Chi Kao, Ming Sun, Yang Liu, Chao Wang |
| 2022 | ICASSP | 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 |
| 2021 | ICASSP | 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 |
| 2020 | ICASSP | Unsupervised Pre-Training of Bidirectional Speech Encoders via Masked Reconstruction. | Weiran Wang, Qingming Tang, Karen Livescu |
| 2019 | ACL | Controllable Paraphrase Generation with a Syntactic Exemplar. | Mingda Chen, Qingming Tang, Sam Wiseman, Kevin Gimpel |
| 2019 | ICASSP | Hierarchical Residual-pyramidal Model for Large Context Based Media Presence Detection. | Qingming Tang, Ming Sun, Chieh-Chi Kao, Viktor Rozgic, Chao Wang |
| 2019 | NAACL | A Multi-Task Approach for Disentangling Syntax and Semantics in Sentence Representations. | Mingda Chen, Qingming Tang, Sam Wiseman, Kevin Gimpel |
| 2018 | ECCV | Dependency-Aware Attention Control for Unconstrained Face Recognition with Image Sets. | Xiaofeng Liu, B. V. K. Vijaya Kumar, Chao Yang, Qingming Tang, Jane You |
| 2018 | EMNLP | Variational Sequential Labelers for Semi-Supervised Learning. | Mingda Chen, Qingming Tang, Karen Livescu, Kevin Gimpel |
| 2018 | ICASSP | Acoustic Feature Learning Using Cross-Domain Articulatory Measurements. | Qingming Tang, Weiran Wang, Karen Livescu |
| 2017 | Interspeech | Acoustic Feature Learning via Deep Variational Canonical Correlation Analysis. | Qingming Tang, Weiran Wang, Karen Livescu |
| 2015 | ICML | Learning Scale-Free Networks by Dynamic Node Specific Degree Prior. | Qingming Tang, Siqi Sun, Jinbo Xu |