| 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 | 90 | 2019 |
| 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 | 78 | 2017 |
| 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 | 56 | 2021 |
| 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 | 49* | 2018 |
| 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 | 40 | 2022 |
| 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 | 31 | 2022 |
| 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 | 30* | 2019 |
| Contrastively disentangled sequential variational autoencoder J Bai, W Wang, CP Gomes Advances in Neural Information Processing Systems 34, 10105-10118, 2021 | 28 | 2021 |
| 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 | 27* | 2020 |
| 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 | 17 | 2021 |
| 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 | 13* | 2022 |
| 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 | 13 | 2021 |
| 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 | 12 | 2020 |
| Efficient domain adaptation for speech foundation models B Li, D Hwang, Z Huo, J Bai, G Prakash, TN Sainath, KC Sim, Y Zhang, ... ICASSP 2023-2023 IEEE International Conference on Acoustics, Speech and …, 2023 | 11 | 2023 |
| 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 | 11 | 2017 |
| 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 International Conference on the Integration of Constraint Programming …, 2018 | 7 | 2018 |
| 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 | 5* | 2019 |
| Conditional Adapters: Parameter-efficient Transfer Learning with Fast Inference T Lei, J Bai, S Brahma, J Ainslie, K Lee, Y Zhou, N Du, VY Zhao, Y Wu, ... arXiv preprint arXiv:2304.04947, 2023 | 3 | 2023 |
| 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 | 3 | 2022 |
| Exploring and Exploiting Structure and Self-Supervision in Sequence Learning J Bai Cornell University, 2022 | | 2022 |
John M. GregoireCaltechVerified email at caltech.edu
