| 2024 | ACL | Handling Ambiguity in Emotion: From Out-of-Domain Detection to Distribution Estimation. | Wen Wu, Bo Li, Chao Zhang, Chung-Cheng Chiu, Qiujia Li, Junwen Bai, Tara N. Sainath, Philip C. Woodland |
| 2024 | ICASSP | Efficient Adapter Finetuning for Tail Languages in Streaming Multilingual ASR. | Junwen Bai, Bo Li, Qiujia Li, Tara N. Sainath, Trevor Strohman |
| 2023 | ICASSP | Efficient Domain Adaptation for Speech Foundation Models. | Bo Li, Dongseong Hwang, Zhouyuan Huo, Junwen Bai, Guru Prakash, Tara N. Sainath, Khe Chai Sim, Yu Zhang, Wei Han, Trevor Strohman, Franoise Beaufays |
| 2022 | AAAI | A GNN-RNN Approach for Harnessing Geospatial and Temporal Information: Application to Crop Yield Prediction. | Joshua Fan, Junwen Bai, Zhiyun Li, Ariel Ortiz-Bobea, Carla P. Gomes |
| 2022 | ICASSP | Joint Unsupervised and Supervised Training for Multilingual ASR. | Junwen Bai, Bo Li, Yu Zhang, Ankur Bapna, Nikhil Siddhartha, Khe Chai Sim, Tara N. Sainath |
| 2022 | ICML | Gaussian Mixture Variational Autoencoder with Contrastive Learning for Multi-Label Classification. | Junwen Bai, Shufeng Kong, Carla P. Gomes |
| 2021 | AAAI | HOT-VAE: Learning High-Order Label Correlation for Multi-Label Classification via Attention-Based Variational Autoencoders. | Wenting Zhao, Shufeng Kong, Junwen Bai, Daniel Fink, Carla P. Gomes |
| 2021 | ASRU | Scaling End-to-End Models for Large-Scale Multilingual ASR. | Bo Li, Ruoming Pang, Tara N. Sainath, Anmol Gulati, Yu Zhang, James Qin, Parisa Haghani, W. Ronny Huang, Min Ma, Junwen Bai |
| 2021 | ICLR | Representation Learning for Sequence Data with Deep Autoencoding Predictive Components. | Junwen Bai, Weiran Wang, Yingbo Zhou, Caiming Xiong |
| 2020 | IJCAI | Disentangled Variational Autoencoder based Multi-Label Classification with Covariance-Aware Multivariate Probit Model. | Junwen Bai, Shufeng Kong, Carla P. Gomes |
| 2020 | IJCAI | Deep Hurdle Networks for Zero-Inflated Multi-Target Regression: Application to Multiple Species Abundance Estimation. | Shufeng Kong, Junwen Bai, Jae Hee Lee, Di Chen, Andrew Allyn, Michelle Stuart, Malin Pinsky, Katherine Mills, Carla P. Gomes |
| 2019 | ICASSP | Imitation Refinement for X-ray Diffraction Signal Processing. | Junwen Bai, Zihang Lai, Runzhe Yang, Yexiang Xue, John M. Gregoire, Carla P. Gomes |
| 2019 | ICML | SWALP : Stochastic Weight Averaging in Low Precision Training. | Guandao Yang, Tianyi Zhang, Polina Kirichenko, Junwen Bai, Andrew Gordon Wilson, Christopher De Sa |
| 2018 | CPAIOR | An Efficient Relaxed Projection Method for Constrained Non-negative Matrix Factorization with Application to the Phase-Mapping Problem in Materials Science. | Junwen Bai, Sebastian Ament, Guillaume Perez, John M. Gregoire, Carla P. Gomes |
| 2017 | AAAI | Phase-Mapper: An AI Platform to Accelerate High Throughput Materials Discovery. | Yexiang Xue, Junwen Bai, Ronan Le Bras, Brendan Rappazzo, Richard Bernstein, Johan Bjorck, Liane Longpre, Santosh K. Suram, Robert Bruce van Dover, John M. Gregoire, Carla P. Gomes |
| 2017 | CPAIOR | Relaxation Methods for Constrained Matrix Factorization Problems: Solving the Phase Mapping Problem in Materials Discovery. | Junwen Bai, Johan Bjorck, Yexiang Xue, Santosh K. Suram, John M. Gregoire, Carla P. Gomes |