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Junwen Bai
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Automated phase mapping with AgileFD and its application to light absorber discovery in the V–Mn–Nb oxide system
SK Suram, Y Xue, J Bai, R Le Bras, B Rappazzo, R Bernstein, J Bjorck, ...
ACS combinatorial science 19 (1), 37-46, 2017
732017
SWALP: Stochastic weight averaging in low precision training
G Yang, T Zhang, P Kirichenko, J Bai, AG Wilson, C De Sa
International Conference on Machine Learning, 7015-7024, 2019
682019
Phase mapper: Accelerating materials discovery with AI
J Bai, Y Xue, J Bjorck, R Le Bras, B Rappazzo, R Bernstein, SK Suram, ...
Ai Magazine 39 (1), 15-26, 2018
43*2018
Scaling end-to-end models for large-scale multilingual ASR
B Li, R Pang, TN Sainath, A Gulati, Y Zhang, J Qin, P Haghani, WR Huang, ...
2021 IEEE Automatic Speech Recognition and Understanding Workshop (ASRU …, 2021
292021
CRYSTAL: a multi-agent AI system for automated mapping of materials' crystal structures
CP Gomes, J Bai, Y Xue, J Björck, B Rappazzo, S Ament, R Bernstein, ...
MRS Communications 9 (2), 600-608, 2019
22*2019
Joint unsupervised and supervised training for multilingual asr
J Bai, B Li, Y Zhang, A Bapna, N Siddhartha, KC Sim, TN Sainath
ICASSP 2022-2022 IEEE International Conference on Acoustics, Speech and …, 2022
192022
Disentangled variational autoencoder based multi-label classification with covariance-aware multivariate probit model
J Bai, S Kong, C Gomes
Proceedings of the Twenty-Ninth International Joint Conference on Artificial …, 2020
152020
Contrastively disentangled sequential variational autoencoder
J Bai, W Wang, CP Gomes
Advances in Neural Information Processing Systems 34, 10105-10118, 2021
132021
Relaxation methods for constrained matrix factorization problems: solving the phase mapping problem in materials discovery
J Bai, J Bjorck, Y Xue, SK Suram, J Gregoire, C Gomes
Integration of AI and OR Techniques in Constraint Programming: 14th …, 2017
112017
Representation Learning for Sequence Data with Deep Autoencoding Predictive Components
J Bai, W Wang, Y Zhou, C Xiong
International Conference on Learning Representations (ICLR) 2021, 2021
102021
Deep hurdle networks for zero-inflated multi-target regression: Application to multiple species abundance estimation
S Kong, J Bai, JH Lee, D Chen, A Allyn, M Stuart, M Pinsky, K Mills, ...
Proceedings of the Twenty-Ninth International Joint Conference on Artificial …, 2020
102020
Hot-vae: Learning high-order label correlation for multi-label classification via attention-based variational autoencoders
W Zhao, S Kong, J Bai, D Fink, C Gomes
Proceedings of the AAAI Conference on Artificial Intelligence 35 (17), 15016 …, 2021
92021
A GNN-RNN approach for harnessing geospatial and temporal information: application to crop yield prediction
J Fan*, J Bai*, Z Li*, A Ortiz-Bobea, CP Gomes
Proceedings of the AAAI Conference on Artificial Intelligence 36 (11), 11873 …, 2022
72022
An efficient relaxed projection method for constrained non-negative matrix factorization with application to the phase-mapping problem in materials science
J Bai, S Ament, G Perez, J Gregoire, C Gomes
Integration of Constraint Programming, Artificial Intelligence, and …, 2018
62018
Imitation refinement for x-ray diffraction signal processing
J Bai, Z Lai, R Yang, Y Xue, J Gregoire, C Gomes
ICASSP 2019-2019 IEEE International Conference on Acoustics, Speech and …, 2019
4*2019
Gaussian mixture variational autoencoder with contrastive learning for multi-label classification
J Bai, S Kong, CP Gomes
International Conference on Machine Learning, 1383-1398, 2022
22022
Xtal2DoS: Attention-based Crystal to Sequence Learning for Density of States Prediction
J Bai, Y Du, Y Wang, S Kong, J Gregoire, CP Gomes
NeurIPS 2022 AI for Science: Progress and Promises, 2022
2022
Systems and methods for mutual information based self-supervised learning
J Bai, W Wang, Y Zhou, C Xiong
US Patent App. 17/006,570, 2022
2022
Exploring and Exploiting Structure and Self-supervision in Sequence Learning
J Bai
2022
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Articles 1–19