Junwen Bai

Orcid: 0000-0001-7939-4927

According to our database1, Junwen Bai authored at least 22 papers between 2017 and 2024.

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Bibliography

2024
Efficient Adapter Finetuning for Tail Languages in Streaming Multilingual ASR.
Proceedings of the IEEE International Conference on Acoustics, 2024

Handling Ambiguity in Emotion: From Out-of-Domain Detection to Distribution Estimation.
Proceedings of the 62nd Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2024

2023
Xtal2DoS: Attention-based Crystal to Sequence Learning for Density of States Prediction.
CoRR, 2023

Conditional Adapters: Parameter-efficient Transfer Learning with Fast Inference.
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.
Proceedings of the IEEE International Conference on Acoustics, 2023

2022
Gaussian Mixture Variational Autoencoder with Contrastive Learning for Multi-Label Classification.
Proceedings of the International Conference on Machine Learning, 2022

Joint Unsupervised and Supervised Training for Multilingual ASR.
Proceedings of the IEEE International Conference on Acoustics, 2022

A GNN-RNN Approach for Harnessing Geospatial and Temporal Information: Application to Crop Yield Prediction.
Proceedings of the Thirty-Sixth AAAI Conference on Artificial Intelligence, 2022

2021
Contrastively Disentangled Sequential Variational Autoencoder.
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.
Proceedings of the 9th International Conference on Learning Representations, 2021

Scaling End-to-End Models for Large-Scale Multilingual ASR.
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.
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.
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.
Proceedings of the Twenty-Ninth International Joint Conference on Artificial Intelligence, 2020

2019
SWALP : Stochastic Weight Averaging in Low Precision Training.
Proceedings of the 36th International Conference on Machine Learning, 2019

Imitation Refinement for X-ray Diffraction Signal Processing.
Proceedings of the IEEE International Conference on Acoustics, 2019

2018
Imitation Refinement.
CoRR, 2018

Phase Mapper: Accelerating Materials Discovery with AI.
AI Mag., 2018

An Efficient Relaxed Projection Method for Constrained Non-negative Matrix Factorization with Application to the Phase-Mapping Problem in Materials Science.
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.
ISPRS Int. J. Geo Inf., 2017

Relaxation Methods for Constrained Matrix Factorization Problems: Solving the Phase Mapping Problem in Materials Discovery.
Proceedings of the Integration of AI and OR Techniques in Constraint Programming, 2017

Phase-Mapper: An AI Platform to Accelerate High Throughput Materials Discovery.
Proceedings of the Thirty-First AAAI Conference on Artificial Intelligence, 2017


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