Junwen Bai

According to our database, Junwen Bai authored at least 22 papers between 2017 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of three.

2024

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

CoRR, 2024

Efficient Adapter Finetuning for Tail Languages in Streaming Multilingual ASR.

Junwen Bai, Bo Li, Qiujia Li, Tara N. Sainath, Trevor Strohman

CoRR, 2024

2023

Xtal2DoS: Attention-based Crystal to Sequence Learning for Density of States Prediction.

Junwen Bai, Yuanqi Du, Yingheng Wang, Shufeng Kong, John M. Gregoire, Carla Gomes

CoRR, 2023

Conditional Adapters: Parameter-efficient Transfer Learning with Fast Inference.

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

Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

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, Françoise Beaufays

Proceedings of the IEEE International Conference on Acoustics, 2023

2022

Gaussian Mixture Variational Autoencoder with Contrastive Learning for Multi-Label Classification.

Junwen Bai, Shufeng Kong, Carla P. Gomes

Proceedings of the International Conference on Machine Learning, 2022

Joint Unsupervised and Supervised Training for Multilingual ASR.

Junwen Bai, Bo Li, Yu Zhang, Ankur Bapna, Nikhil Siddhartha, Khe Chai Sim, Tara N. Sainath

Proceedings of the IEEE International Conference on Acoustics, 2022

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

Proceedings of the Thirty-Sixth AAAI Conference on Artificial Intelligence, 2022

2021

Contrastively Disentangled Sequential Variational Autoencoder.

Junwen Bai, Weiran Wang, Carla P. Gomes

Proceedings of the Advances in Neural Information Processing Systems 34: Annual Conference on Neural Information Processing Systems 2021, 2021

Representation Learning for Sequence Data with Deep Autoencoding Predictive Components.

Junwen Bai, Weiran Wang, Yingbo Zhou, Caiming Xiong

Proceedings of the 9th International Conference on Learning Representations, 2021

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

Proceedings of the IEEE Automatic Speech Recognition and Understanding Workshop, 2021

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

Proceedings of the Thirty-Fifth AAAI Conference on Artificial Intelligence, 2021

2020

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

Proceedings of the Twenty-Ninth International Joint Conference on Artificial Intelligence, 2020

Disentangled Variational Autoencoder based Multi-Label Classification with Covariance-Aware Multivariate Probit Model.

Junwen Bai, Shufeng Kong, Carla P. Gomes

Proceedings of the Twenty-Ninth International Joint Conference on Artificial Intelligence, 2020

2019

SWALP : Stochastic Weight Averaging in Low Precision Training.

Guandao Yang, Tianyi Zhang, Polina Kirichenko, Junwen Bai, Andrew Gordon Wilson, Christopher De Sa

Proceedings of the 36th International Conference on Machine Learning, 2019

Imitation Refinement for X-ray Diffraction Signal Processing.

Junwen Bai, Zihang Lai, Runzhe Yang, Yexiang Xue, John M. Gregoire, Carla P. Gomes

Proceedings of the IEEE International Conference on Acoustics, 2019

2018

Imitation Refinement.

Junwen Bai, Runzhe Yang, Yexiang Xue, John M. Gregoire, Carla P. Gomes

CoRR, 2018

Phase Mapper: Accelerating Materials Discovery with AI.

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

AI Mag., 2018

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

Proceedings of the Integration of Constraint Programming, Artificial Intelligence, and Operations Research, 2018

2017

A Spatial Analysis Approach for Evaluating the Service Capability of Urban Greenways - A Case Study in Wuhan.

Junwen Bai, Penglin Zhang, Juan Du, Zheng Li

ISPRS Int. J. Geo Inf., 2017

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

Proceedings of the Integration of AI and OR Techniques in Constraint Programming, 2017

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

Proceedings of the Thirty-First AAAI Conference on Artificial Intelligence, 2017