Junwen Bai

Publication Activity (10 Years)

Years Active: 2016-2024
Publications (10 Years): 36

Top Topics

Temporal Information

Matrix Factorization

Projection Method

Supervised Training

Top Venues

Publications

Wen Wu, Bo Li, Chao Zhang, Chung-Cheng Chiu, Qiujia Li, Junwen Bai, Tara N. Sainath, Philip C. Woodland
Handling Ambiguity in Emotion: From Out-of-Domain Detection to Distribution Estimation. ACL (1) (2024)
Wen Wu, Bo Li, Chao Zhang, Chung-Cheng Chiu, Qiujia Li, Junwen Bai, Tara N. Sainath, Philip C. Woodland
Handling Ambiguity in Emotion: From Out-of-Domain Detection to Distribution Estimation. CoRR (2024)
Junwen Bai, Bo Li, Qiujia Li, Tara N. Sainath, Trevor Strohman
Efficient Adapter Finetuning for Tail Languages in Streaming Multilingual ASR. CoRR (2024)
Junwen Bai, Bo Li, Qiujia Li, Tara N. Sainath, Trevor Strohman
Efficient Adapter Finetuning for Tail Languages in Streaming Multilingual ASR. ICASSP (2024)
Bo Li, Dongseong Hwang, Zhouyuan Huo, Junwen Bai, Guru Prakash, Tara N. Sainath, Khe Chai Sim, Yu Zhang, Wei Han, Trevor Strohman, Françoise Beaufays
Efficient Domain Adaptation for Speech Foundation Models. ICASSP (2023)
Junwen Bai, Yuanqi Du, Yingheng Wang, Shufeng Kong, John M. Gregoire, Carla Gomes
Xtal2DoS: Attention-based Crystal to Sequence Learning for Density of States Prediction. CoRR (2023)
Bo Li, Dongseong Hwang, Zhouyuan Huo, Junwen Bai, Guru Prakash, Tara N. Sainath, Khe Chai Sim, Yu Zhang, Wei Han, Trevor Strohman, Françoise Beaufays
Efficient Domain Adaptation for Speech Foundation Models. CoRR (2023)
Tao Lei, Junwen Bai, Siddhartha Brahma, Joshua Ainslie, Kenton Lee, Yanqi Zhou, Nan Du, Vincent Y. Zhao, Yuexin Wu, Bo Li, Yu Zhang, Ming-Wei Chang
Conditional Adapters: Parameter-efficient Transfer Learning with Fast Inference. CoRR (2023)
Tao Lei, Junwen Bai, Siddhartha Brahma, Joshua Ainslie, Kenton Lee, Yanqi Zhou, Nan Du, Vincent Y. Zhao, Yuexin Wu, Bo Li, Yu Zhang, Ming-Wei Chang
Conditional Adapters: Parameter-efficient Transfer Learning with Fast Inference. NeurIPS (2023)
Joshua Fan, Junwen Bai, Zhiyun Li, Ariel Ortiz-Bobea, Carla P. Gomes
A GNN-RNN Approach for Harnessing Geospatial and Temporal Information: Application to Crop Yield Prediction. AAAI (2022)
Junwen Bai, Bo Li, Yu Zhang, Ankur Bapna, Nikhil Siddhartha, Khe Chai Sim, Tara N. Sainath
Joint Unsupervised and Supervised Training for Multilingual ASR. ICASSP (2022)
Junwen Bai, Shufeng Kong, Carla P. Gomes
Gaussian Mixture Variational Autoencoder with Contrastive Learning for Multi-Label Classification. ICML (2022)
Junwen Bai, Weiran Wang, Carla P. Gomes
Contrastively Disentangled Sequential Variational Autoencoder. CoRR (2021)
Bo Li, Ruoming Pang, Tara N. Sainath, Anmol Gulati, Yu Zhang, James Qin, Parisa Haghani, W. Ronny Huang, Min Ma, Junwen Bai
Scaling End-to-End Models for Large-Scale Multilingual ASR. ASRU (2021)
Junwen Bai, Weiran Wang, Carla P. Gomes
Contrastively Disentangled Sequential Variational Autoencoder. NeurIPS (2021)
Junwen Bai, Shufeng Kong, Carla P. Gomes
Gaussian Mixture Variational Autoencoder with Contrastive Learning for Multi-Label Classification. CoRR (2021)
Wenting Zhao, Shufeng Kong, Junwen Bai, Daniel Fink, Carla P. Gomes
HOT-VAE: Learning High-Order Label Correlation for Multi-Label Classification via Attention-Based Variational Autoencoders. CoRR (2021)
Joshua Fan, Junwen Bai, Zhiyun Li, Ariel Ortiz-Bobea, Carla P. Gomes
A GNN-RNN Approach for Harnessing Geospatial and Temporal Information: Application to Crop Yield Prediction. CoRR (2021)
Junwen Bai, Bo Li, Yu Zhang, Ankur Bapna, Nikhil Siddhartha, Khe Chai Sim, Tara N. Sainath
Joint Unsupervised and Supervised Training for Multilingual ASR. CoRR (2021)
Junwen Bai, Weiran Wang, Yingbo Zhou, Caiming Xiong
Representation Learning for Sequence Data with Deep Autoencoding Predictive Components. ICLR (2021)
Wenting Zhao, Shufeng Kong, Junwen Bai, Daniel Fink, Carla P. Gomes
HOT-VAE: Learning High-Order Label Correlation for Multi-Label Classification via Attention-Based Variational Autoencoders. AAAI (2021)
Junwen Bai, Weiran Wang, Yingbo Zhou, Caiming Xiong
Representation Learning for Sequence Data with Deep Autoencoding Predictive Components. CoRR (2020)
Junwen Bai, Shufeng Kong, Carla P. Gomes
Disentangled Variational Autoencoder based Multi-Label Classification with Covariance-Aware Multivariate Probit Model. IJCAI (2020)
Shufeng Kong, Junwen Bai, Jae Hee Lee, Di Chen, Andrew Allyn, Michelle Stuart, Malin Pinsky, Katherine Mills, Carla P. Gomes
Deep Hurdle Networks for Zero-Inflated Multi-Target Regression: Application to Multiple Species Abundance Estimation. CoRR (2020)
Shufeng Kong, Junwen Bai, Jae Hee Lee, Di Chen, Andrew Allyn, Michelle Stuart, Malin Pinsky, Katherine Mills, Carla P. Gomes
Deep Hurdle Networks for Zero-Inflated Multi-Target Regression: Application to Multiple Species Abundance Estimation. IJCAI (2020)
Junwen Bai, Shufeng Kong, Carla P. Gomes
Disentangled Variational Autoencoder based Multi-Label Classification with Covariance-Aware Multivariate Probit Model. CoRR (2020)
Guandao Yang, Tianyi Zhang, Polina Kirichenko, Junwen Bai, Andrew Gordon Wilson, Christopher De Sa
SWALP : Stochastic Weight Averaging in Low Precision Training. ICML (2019)
Junwen Bai, Zihang Lai, Runzhe Yang, Yexiang Xue, John M. Gregoire, Carla P. Gomes
Imitation Refinement for X-ray Diffraction Signal Processing. ICASSP (2019)
Guandao Yang, Tianyi Zhang, Polina Kirichenko, Junwen Bai, Andrew Gordon Wilson, Christopher De Sa
SWALP : Stochastic Weight Averaging in Low-Precision Training. CoRR (2019)
Junwen Bai, Runzhe Yang, Yexiang Xue, John M. Gregoire, Carla P. Gomes
Imitation Refinement. CoRR (2018)
Junwen Bai, Sebastian Ament, Guillaume Perez, John M. Gregoire, Carla P. Gomes
An Efficient Relaxed Projection Method for Constrained Non-negative Matrix Factorization with Application to the Phase-Mapping Problem in Materials Science. CPAIOR (2018)
Junwen Bai, Yexiang Xue, Johan Bjorck, Ronan Le Bras, Brendan Rappazzo, Richard Bernstein, Santosh K. Suram, Robert Bruce van Dover, John M. Gregoire, Carla P. Gomes
Phase Mapper: Accelerating Materials Discovery with AI. AI Mag. 39 (1) (2018)
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
Phase-Mapper: An AI Platform to Accelerate High Throughput Materials Discovery. AAAI (2017)
Junwen Bai, Penglin Zhang, Juan Du, Zheng Li
A Spatial Analysis Approach for Evaluating the Service Capability of Urban Greenways - A Case Study in Wuhan. ISPRS Int. J. Geo Inf. 6 (7) (2017)
Junwen Bai, Johan Bjorck, Yexiang Xue, Santosh K. Suram, John M. Gregoire, Carla P. Gomes
Relaxation Methods for Constrained Matrix Factorization Problems: Solving the Phase Mapping Problem in Materials Discovery. CPAIOR (2017)
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
Phase-Mapper: An AI Platform to Accelerate High Throughput Materials Discovery. CoRR (2016)