Phase-Mapper: An AI Platform to Accelerate High Throughput Materials Discovery. - Yexiang Xue; Junwen Bai; Ronan Le Bras 001; Brendan Rappazzo; Richard Bernstein; Johan Bjorck; Liane Longpre; Santosh K. Suram; Robert Bruce van Dover; John M. Gregoire; Carla P. Gomes (AAAI, 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 (CPAIOR, 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)

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 (CPAIOR, 2018)

Phase Mapper: Accelerating Materials Discovery with AI. - Junwen Bai; Yexiang Xue; Johan Bjorck; Ronan Le Bras 001; Brendan Rappazzo; Richard Bernstein; Santosh K. Suram; Robert Bruce van Dover; John M. Gregoire; Carla P. Gomes (AI Mag., 2018)

Imitation Refinement. - Junwen Bai; Runzhe Yang; Yexiang Xue; John M. Gregoire; Carla P. Gomes (CoRR, 2018)

Imitation Refinement for X-ray Diffraction Signal Processing. - Junwen Bai; Zihang Lai; Runzhe Yang; Yexiang Xue; John M. Gregoire; Carla P. Gomes (ICASSP, 2019)

SWALP : Stochastic Weight Averaging in Low Precision Training. - Guandao Yang; Tianyi Zhang; Polina Kirichenko; Junwen Bai; Andrew Gordon Wilson; Christopher De Sa (ICML, 2019)

Disentangled Variational Autoencoder based Multi-Label Classification with Covariance-Aware Multivariate Probit Model. - Junwen Bai; Shufeng Kong; Carla P. Gomes (IJCAI, 2020)

Deep Hurdle Networks for Zero-Inflated Multi-Target Regression: Application to Multiple Species Abundance Estimation. - Shufeng Kong; Junwen Bai; Jae Hee Lee 001; Di Chen 001; Andrew Allyn; Michelle Stuart; Malin Pinsky; Katherine Mills; Carla P. Gomes (IJCAI, 2020)

HOT-VAE: Learning High-Order Label Correlation for Multi-Label Classification via Attention-Based Variational Autoencoders. - Wenting Zhao 002; Shufeng Kong; Junwen Bai; Daniel Fink 002; Carla P. Gomes (AAAI, 2021)

Scaling End-to-End Models for Large-Scale Multilingual ASR. - Bo Li 028; Ruoming Pang; Tara N. Sainath; Anmol Gulati; Yu Zhang 033; James Qin; Parisa Haghani; W. Ronny Huang; Min Ma; Junwen Bai (ASRU, 2021)

Representation Learning for Sequence Data with Deep Autoencoding Predictive Components. - Junwen Bai; Weiran Wang; Yingbo Zhou; Caiming Xiong (ICLR, 2021)

Contrastively Disentangled Sequential Variational Autoencoder. - Junwen Bai; Weiran Wang; Carla P. Gomes (NeurIPS, 2021)

A GNN-RNN Approach for Harnessing Geospatial and Temporal Information: Application to Crop Yield Prediction. - Joshua Fan 002; Junwen Bai; Zhiyun Li; Ariel Ortiz-Bobea; Carla P. Gomes (AAAI, 2022)

Joint Unsupervised and Supervised Training for Multilingual ASR. - Junwen Bai; Bo Li 028; Yu Zhang 033; Ankur Bapna; Nikhil Siddhartha; Khe Chai Sim; Tara N. Sainath (ICASSP, 2022)

Gaussian Mixture Variational Autoencoder with Contrastive Learning for Multi-Label Classification. - Junwen Bai; Shufeng Kong; Carla P. Gomes (ICML, 2022)

Efficient Domain Adaptation for Speech Foundation Models. - Bo Li 028; Dongseong Hwang; Zhouyuan Huo; Junwen Bai; Guru Prakash; Tara N. Sainath; Khe Chai Sim; Yu Zhang 033; Wei Han 002; Trevor Strohman; Françoise Beaufays (ICASSP, 2023)

Conditional Adapters: Parameter-efficient Transfer Learning with Fast Inference. - Tao Lei; Junwen Bai; Siddhartha Brahma; Joshua Ainslie; Kenton Lee; Yanqi Zhou; Nan Du 002; Vincent Y. Zhao; Yuexin Wu; Bo Li 028; Yu Zhang 033; Ming-Wei Chang (NeurIPS, 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 001 (CoRR, 2023)

Handling Ambiguity in Emotion: From Out-of-Domain Detection to Distribution Estimation. - Wen Wu 007; Bo Li 028; Chao Zhang 031; Chung-Cheng Chiu; Qiujia Li; Junwen Bai; Tara N. Sainath; Philip C. Woodland (ACL (1), 2024)

Efficient Adapter Finetuning for Tail Languages in Streaming Multilingual ASR. - Junwen Bai; Bo Li 028; Qiujia Li; Tara N. Sainath; Trevor Strohman (ICASSP, 2024)

MTCMB: A Multi-Task Benchmark Framework for Evaluating LLMs on Knowledge, Reasoning, and Safety in Traditional Chinese Medicine. - Shufeng Kong; Xingru Yang; Yuanyuan Wei 011; Zijie Wang; Hao Tang; Jiuqi Qin; Shuting Lan; Yingheng Wang; Junwen Bai; Zhuangbin Chen; Zibin Zheng; Caihua Liu; et al. (CoRR, 2025)