Wei Han

Orcid: 0000-0002-4201-9645

Affiliations:

Google
University of Illinois at Urbana-Champaign, Department of Electrical and Computer Engineering, Beckman Institute, Urbana, IL, USA

According to our database¹, Wei Han authored at least 45 papers between 2014 and 2024.

Collaborative distances:

Dijkstra number² of four.
Erdős number³ of three.

Timeline

Legend:

Book

In proceedings

Article

PhD thesis

Dataset

Other

Bibliography

2024

Retrieval Augmented End-to-End Spoken Dialog Models.

[BibT_eX]

[DOI]

CoRR, 2024

2023

RoboVQA: Multimodal Long-Horizon Reasoning for Robotics.

[BibT_eX]

[DOI]

CoRR, 2023

Speech-to-Text Adapter and Speech-to-Entity Retriever Augmented LLMs for Speech Understanding.

[BibT_eX]

[DOI]

CoRR, 2023

Label Aware Speech Representation Learning For Language Identification.

[BibT_eX]

[DOI]

CoRR, 2023

Google USM: Scaling Automatic Speech Recognition Beyond 100 Languages.

[BibT_eX]

[DOI]

CoRR, 2023

Accelerating RNN-T Training and Inference Using CTC Guidance.

[BibT_eX]

[DOI]

Proceedings of the IEEE International Conference on Acoustics, 2023

Efficient Domain Adaptation for Speech Foundation Models.

[BibT_eX]

[DOI]

Proceedings of the IEEE International Conference on Acoustics, 2023

2022

BigSSL: Exploring the Frontier of Large-Scale Semi-Supervised Learning for Automatic Speech Recognition.

[BibT_eX]

[DOI]

IEEE J. Sel. Top. Signal Process., 2022

Speech Aware Dialog System Technology Challenge (DSTC11).

[BibT_eX]

[DOI]

CoRR, 2022

Accented Speech Recognition: Benchmarking, Pre-training, and Diverse Data.

[BibT_eX]

[DOI]

CoRR, 2022

Universal Paralinguistic Speech Representations Using self-Supervised Conformers.

[BibT_eX]

[DOI]

Proceedings of the IEEE International Conference on Acoustics, 2022

Improving The Latency And Quality Of Cascaded Encoders.

[BibT_eX]

[DOI]

Proceedings of the IEEE International Conference on Acoustics, 2022

2021

Bridging the gap between streaming and non-streaming ASR systems bydistilling ensembles of CTC and RNN-T models.

[BibT_eX]

[DOI]

CoRR, 2021

Exploring Targeted Universal Adversarial Perturbations to End-to-end ASR Models.

[BibT_eX]

[DOI]

CoRR, 2021

RNN-T Models Fail to Generalize to Out-of-Domain Audio: Causes and Solutions.

[BibT_eX]

[DOI]

Proceedings of the IEEE Spoken Language Technology Workshop, 2021

Bridging the Gap Between Streaming and Non-Streaming ASR Systems by Distilling Ensembles of CTC and RNN-T Models.

[BibT_eX]

[DOI]

Proceedings of the Interspeech 2021, 22nd Annual Conference of the International Speech Communication Association, Brno, Czechia, 30 August, 2021

Dual-mode ASR: Unify and Improve Streaming ASR with Full-context Modeling.

[BibT_eX]

[DOI]

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

FastEmit: Low-Latency Streaming ASR with Sequence-Level Emission Regularization.

[BibT_eX]

[DOI]

Proceedings of the IEEE International Conference on Acoustics, 2021

A Better and Faster end-to-end Model for Streaming ASR.

[BibT_eX]

[DOI]

Proceedings of the IEEE International Conference on Acoustics, 2021

Improving Streaming Automatic Speech Recognition with Non-Streaming Model Distillation on Unsupervised Data.

[BibT_eX]

[DOI]

Proceedings of the IEEE International Conference on Acoustics, 2021

w2v-BERT: Combining Contrastive Learning and Masked Language Modeling for Self-Supervised Speech Pre-Training.

[BibT_eX]

[DOI]

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

2020

Pushing the Limits of Semi-Supervised Learning for Automatic Speech Recognition.

[BibT_eX]

[DOI]

CoRR, 2020

Universal ASR: Unify and Improve Streaming ASR with Full-context Modeling.

[BibT_eX]

[DOI]

CoRR, 2020

Improved Noisy Student Training for Automatic Speech Recognition.

[BibT_eX]

[DOI]

Proceedings of the Interspeech 2020, 2020

ContextNet: Improving Convolutional Neural Networks for Automatic Speech Recognition with Global Context.

[BibT_eX]

[DOI]

Proceedings of the Interspeech 2020, 2020

Conformer: Convolution-augmented Transformer for Speech Recognition.

[BibT_eX]

[DOI]

Proceedings of the Interspeech 2020, 2020

Streaming Object Detection for 3-D Point Clouds.

[BibT_eX]

[DOI]

Proceedings of the Computer Vision - ECCV 2020, 2020

Scalability in Perception for Autonomous Driving: Waymo Open Dataset.

[BibT_eX]

[DOI]

Proceedings of the 2020 IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2020

2019

Learning compact neural network representations with structural priors

[BibT_eX]

[DOI]

Wei Han

PhD thesis, 2019

StarNet: Targeted Computation for Object Detection in Point Clouds.

[BibT_eX]

[DOI]

CoRR, 2019

A Comparison of End-to-End Models for Long-Form Speech Recognition.

[BibT_eX]

[DOI]

Proceedings of the IEEE Automatic Speech Recognition and Understanding Workshop, 2019

2018

Learning 3D-FilterMap for Deep Convolutional Neural Networks.

[BibT_eX]

[DOI]

CoRR, 2018

3D-FilterMap: A Compact Architecture for Deep Convolutional Neural Networks.

[BibT_eX]

[DOI]

Proceedings of the 6th International Conference on Learning Representations, 2018

Image Super-Resolution via Dual-State Recurrent Networks.

[BibT_eX]

[DOI]

Proceedings of the 2018 IEEE Conference on Computer Vision and Pattern Recognition, 2018

2017

Dilated Recurrent Neural Networks.

[BibT_eX]

[DOI]

Mark A. Hasegawa-Johnson

Thomas S. Huang

Proceedings of the Advances in Neural Information Processing Systems 30: Annual Conference on Neural Information Processing Systems 2017, 2017

NTIRE 2017 Challenge on Single Image Super-Resolution: Methods and Results.

[BibT_eX]

[DOI]

Proceedings of the 2017 IEEE Conference on Computer Vision and Pattern Recognition Workshops, 2017

Balanced Two-Stage Residual Networks for Image Super-Resolution.

[BibT_eX]

[DOI]

Proceedings of the 2017 IEEE Conference on Computer Vision and Pattern Recognition Workshops, 2017

2016

Robust Single Image Super-Resolution via Deep Networks With Sparse Prior.

[BibT_eX]

[DOI]

IEEE Trans. Image Process., 2016

Seq-NMS for Video Object Detection.

[BibT_eX]

[DOI]

CoRR, 2016

2015

Deeply Improved Sparse Coding for Image Super-Resolution.

[BibT_eX]

[DOI]

CoRR, 2015

An Analysis of Unsupervised Pre-training in Light of Recent Advances.

[BibT_eX]

[DOI]

Proceedings of the 3rd International Conference on Learning Representations, 2015

Heterogeneous Network Embedding via Deep Architectures.

[BibT_eX]

[DOI]

Proceedings of the 21th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, 2015

Deep Networks for Image Super-Resolution with Sparse Prior.

[BibT_eX]

[DOI]

Proceedings of the 2015 IEEE International Conference on Computer Vision, 2015

Self-tuned deep super resolution.

[BibT_eX]

[DOI]

Proceedings of the 2015 IEEE Conference on Computer Vision and Pattern Recognition Workshops, 2015

2014

Multimedia Classification.

[BibT_eX]

[DOI]

Proceedings of the Data Classification: Algorithms and Applications, 2014

Wei Han

Timeline

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