Wei Han

Publication Activity (10 Years)

Years Active: 2015-2024
Publications (10 Years): 56

Top Topics

Speech Recognition

Context Modeling

Top Venues

Publications

Pierre Sermanet, Tianli Ding, Jeffrey Zhao, Fei Xia, Debidatta Dwibedi, Keerthana Gopalakrishnan, Christine Chan, Gabriel Dulac-Arnold, Sharath Maddineni, Nikhil J. Joshi, Pete Florence, Wei Han, Robert Baruch, Yao Lu, Suvir Mirchandani, Peng Xu, Pannag Sanketi, Karol Hausman, Izhak Shafran, Brian Ichter, Yuan Cao
RoboVQA: Multimodal Long-Horizon Reasoning for Robotics. ICRA (2024)
Mingqiu Wang, Izhak Shafran, Hagen Soltau, Wei Han, Yuan Cao, Dian Yu, Laurent El Shafey
Retrieval Augmented End-to-End Spoken Dialog Models. CoRR (2024)
Mingqiu Wang, Izhak Shafran, Hagen Soltau, Wei Han, Yuan Cao, Dian Yu, Laurent El Shafey
Retrieval Augmented End-to-End Spoken Dialog Models. ICASSP (2024)
Bo Li, Dongseong Hwang, Zhouyuan Huo, Junwen Bai, Guru Prakash, Tara N. Sainath, Khe Chai Sim, Yu Zhang, Wei Han, Trevor Strohman, Françoise Beaufays
Efficient Domain Adaptation for Speech Foundation Models. ICASSP (2023)
Hagen Soltau, Izhak Shafran, Mingqiu Wang, Abhinav Rastogi, Jeffrey Zhao, Ye Jia, Wei Han, Yuan Cao, Aramys Miranda
Speech Aware Dialog System Technology Challenge (DSTC11). INTERSPEECH (2023)
Shikhar Vashishth, Shikhar Bharadwaj, Sriram Ganapathy, Ankur Bapna, Min Ma, Wei Han, Vera Axelrod, Partha Talukdar
Label Aware Speech Representation Learning For Language Identification. CoRR (2023)
Yuma Koizumi, Heiga Zen, Shigeki Karita, Yifan Ding, Kohei Yatabe, Nobuyuki Morioka, Michiel Bacchiani, Yu Zhang, Wei Han, Ankur Bapna
LibriTTS-R: A Restored Multi-Speaker Text-to-Speech Corpus. INTERSPEECH (2023)
Bo Li, Dongseong Hwang, Zhouyuan Huo, Junwen Bai, Guru Prakash, Tara N. Sainath, Khe Chai Sim, Yu Zhang, Wei Han, Trevor Strohman, Françoise Beaufays
Efficient Domain Adaptation for Speech Foundation Models. CoRR (2023)
Yongqiang Wang, Zhehuai Chen, Chengjian Zheng, Yu Zhang, Wei Han, Parisa Haghani
Accelerating RNN-T Training and Inference Using CTC Guidance. ICASSP (2023)
Shikhar Vashishth, Shikhar Bharadwaj, Sriram Ganapathy, Ankur Bapna, Min Ma, Wei Han, Vera Axelrod, Partha Talukdar
Label Aware Speech Representation Learning For Language Identification. INTERSPEECH (2023)
Mingqiu Wang, Izhak Shafran, Hagen Soltau, Wei Han, Yuan Cao, Dian Yu, Laurent El Shafey
Speech-to-Text Adapter and Speech-to-Entity Retriever Augmented LLMs for Speech Understanding. CoRR (2023)
Alëna Aksënova, Zhehuai Chen, Chung-Cheng Chiu, Daan van Esch, Pavel Golik, Wei Han, Levi King, Bhuvana Ramabhadran, Andrew Rosenberg, Suzan Schwartz, Gary Wang
Accented Speech Recognition: Benchmarking, Pre-training, and Diverse Data. CoRR (2022)
Yu Zhang, Daniel S. Park, Wei Han, James Qin, Anmol Gulati, Joel Shor, Aren Jansen, Yuanzhong Xu, Yanping Huang, Shibo Wang, Zongwei Zhou, Bo Li, Min Ma, William Chan, Jiahui Yu, Yongqiang Wang, Liangliang Cao, Khe Chai Sim, Bhuvana Ramabhadran, Tara N. Sainath, Françoise Beaufays, Zhifeng Chen, Quoc V. Le, Chung-Cheng Chiu, Ruoming Pang, Yonghui Wu
BigSSL: Exploring the Frontier of Large-Scale Semi-Supervised Learning for Automatic Speech Recognition. IEEE J. Sel. Top. Signal Process. 16 (6) (2022)
Joel Shor, Aren Jansen, Wei Han, Daniel S. Park, Yu Zhang
Universal Paralinguistic Speech Representations Using self-Supervised Conformers. ICASSP (2022)
Hagen Soltau, Izhak Shafran, Mingqiu Wang, Abhinav Rastogi, Jeffrey Zhao, Ye Jia, Wei Han, Yuan Cao, Aramys Miranda
Speech Aware Dialog System Technology Challenge (DSTC11). CoRR (2022)
Tara N. Sainath, Yanzhang He, Arun Narayanan, Rami Botros, Weiran Wang, David Qiu, Chung-Cheng Chiu, Rohit Prabhavalkar, Alexander Gruenstein, Anmol Gulati, Bo Li, David Rybach, Emmanuel Guzman, Ian McGraw, James Qin, Krzysztof Choromanski, Qiao Liang, Robert David, Ruoming Pang, Shuo-Yiin Chang, Trevor Strohman, W. Ronny Huang, Wei Han, Yonghui Wu, Yu Zhang
Improving The Latency And Quality Of Cascaded Encoders. ICASSP (2022)
Jiahui Yu, Chung-Cheng Chiu, Bo Li, Shuo-Yiin Chang, Tara N. Sainath, Yanzhang He, Arun Narayanan, Wei Han, Anmol Gulati, Yonghui Wu, Ruoming Pang
FastEmit: Low-Latency Streaming ASR with Sequence-Level Emission Regularization. ICASSP (2021)
Thibault Doutre, Wei Han, Chung-Cheng Chiu, Ruoming Pang, Olivier Siohan, Liangliang Cao
Bridging the gap between streaming and non-streaming ASR systems bydistilling ensembles of CTC and RNN-T models. CoRR (2021)
Yu-An Chung, Yu Zhang, Wei Han, Chung-Cheng Chiu, James Qin, Ruoming Pang, Yonghui Wu
w2v-BERT: Combining Contrastive Learning and Masked Language Modeling for Self-Supervised Speech Pre-Training. ASRU (2021)
Jiahui Yu, Wei Han, Anmol Gulati, Chung-Cheng Chiu, Bo Li, Tara N. Sainath, Yonghui Wu, Ruoming Pang
Dual-mode ASR: Unify and Improve Streaming ASR with Full-context Modeling. ICLR (2021)
Zhiyun Lu, Wei Han, Yu Zhang, Liangliang Cao
Exploring Targeted Universal Adversarial Perturbations to End-to-end ASR Models. CoRR (2021)
Chung-Cheng Chiu, Arun Narayanan, Wei Han, Rohit Prabhavalkar, Yu Zhang, Navdeep Jaitly, Ruoming Pang, Tara N. Sainath, Patrick Nguyen, Liangliang Cao, Yonghui Wu
RNN-T Models Fail to Generalize to Out-of-Domain Audio: Causes and Solutions. SLT (2021)
Thibault Doutre, Wei Han, Chung-Cheng Chiu, Ruoming Pang, Olivier Siohan, Liangliang Cao
Bridging the Gap Between Streaming and Non-Streaming ASR Systems by Distilling Ensembles of CTC and RNN-T Models. Interspeech (2021)
Bo Li, Anmol Gulati, Jiahui Yu, Tara N. Sainath, Chung-Cheng Chiu, Arun Narayanan, Shuo-Yiin Chang, Ruoming Pang, Yanzhang He, James Qin, Wei Han, Qiao Liang, Yu Zhang, Trevor Strohman, Yonghui Wu
A Better and Faster end-to-end Model for Streaming ASR. ICASSP (2021)
Wei Han, Zhengdong Zhang, Benjamin Caine, Brandon Yang, Christoph Sprunk, Ouais Alsharif, Jiquan Ngiam, Vijay Vasudevan, Jonathon Shlens, Zhifeng Chen
Streaming Object Detection for 3-D Point Clouds. CoRR (2020)
Wei Han, Zhengdong Zhang, Benjamin Caine, Brandon Yang, Christoph Sprunk, Ouais Alsharif, Jiquan Ngiam, Vijay Vasudevan, Jonathon Shlens, Zhifeng Chen
Streaming Object Detection for 3-D Point Clouds. ECCV (18) (2020)
Thibault Doutre, Wei Han, Min Ma, Zhiyun Lu, Chung-Cheng Chiu, Ruoming Pang, Arun Narayanan, Ananya Misra, Yu Zhang, Liangliang Cao
Improving Streaming Automatic Speech Recognition With Non-Streaming Model Distillation On Unsupervised Data. CoRR (2020)
Wei Han, Zhengdong Zhang, Yu Zhang, Jiahui Yu, Chung-Cheng Chiu, James Qin, Anmol Gulati, Ruoming Pang, Yonghui Wu
ContextNet: Improving Convolutional Neural Networks for Automatic Speech Recognition with Global Context. CoRR (2020)
Yu Zhang, James Qin, Daniel S. Park, Wei Han, Chung-Cheng Chiu, Ruoming Pang, Quoc V. Le, Yonghui Wu
Pushing the Limits of Semi-Supervised Learning for Automatic Speech Recognition. CoRR (2020)
Chung-Cheng Chiu, Arun Narayanan, Wei Han, Rohit Prabhavalkar, Yu Zhang, Navdeep Jaitly, Ruoming Pang, Tara N. Sainath, Patrick Nguyen, Liangliang Cao, Yonghui Wu
RNN-T Models Fail to Generalize to Out-of-Domain Audio: Causes and Solutions. CoRR (2020)
Anmol Gulati, James Qin, Chung-Cheng Chiu, Niki Parmar, Yu Zhang, Jiahui Yu, Wei Han, Shibo Wang, Zhengdong Zhang, Yonghui Wu, Ruoming Pang
Conformer: Convolution-augmented Transformer for Speech Recognition. CoRR (2020)
Jiahui Yu, Wei Han, Anmol Gulati, Chung-Cheng Chiu, Bo Li, Tara N. Sainath, Yonghui Wu, Ruoming Pang
Universal ASR: Unify and Improve Streaming ASR with Full-context Modeling. CoRR (2020)
Anmol Gulati, James Qin, Chung-Cheng Chiu, Niki Parmar, Yu Zhang, Jiahui Yu, Wei Han, Shibo Wang, Zhengdong Zhang, Yonghui Wu, Ruoming Pang
Conformer: Convolution-augmented Transformer for Speech Recognition. INTERSPEECH (2020)
Bo Li, Anmol Gulati, Jiahui Yu, Tara N. Sainath, Chung-Cheng Chiu, Arun Narayanan, Shuo-Yiin Chang, Ruoming Pang, Yanzhang He, James Qin, Wei Han, Qiao Liang, Yu Zhang, Trevor Strohman, Yonghui Wu
A Better and Faster End-to-End Model for Streaming ASR. CoRR (2020)
Wei Han, Zhengdong Zhang, Yu Zhang, Jiahui Yu, Chung-Cheng Chiu, James Qin, Anmol Gulati, Ruoming Pang, Yonghui Wu
ContextNet: Improving Convolutional Neural Networks for Automatic Speech Recognition with Global Context. INTERSPEECH (2020)
Jiahui Yu, Chung-Cheng Chiu, Bo Li, Shuo-Yiin Chang, Tara N. Sainath, Yanzhang He, Arun Narayanan, Wei Han, Anmol Gulati, Yonghui Wu, Ruoming Pang
FastEmit: Low-latency Streaming ASR with Sequence-level Emission Regularization. CoRR (2020)
Daniel S. Park, Yu Zhang, Ye Jia, Wei Han, Chung-Cheng Chiu, Bo Li, Yonghui Wu, Quoc V. Le
Improved Noisy Student Training for Automatic Speech Recognition. CoRR (2020)
Daniel S. Park, Yu Zhang, Ye Jia, Wei Han, Chung-Cheng Chiu, Bo Li, Yonghui Wu, Quoc V. Le
Improved Noisy Student Training for Automatic Speech Recognition. INTERSPEECH (2020)
Chung-Cheng Chiu, Wei Han, Yu Zhang, Ruoming Pang, Sergey Kishchenko, Patrick Nguyen, Arun Narayanan, Hank Liao, Shuyuan Zhang, Anjuli Kannan, Rohit Prabhavalkar, Zhifeng Chen, Tara N. Sainath, Yonghui Wu
A comparison of end-to-end models for long-form speech recognition. CoRR (2019)
Chung-Cheng Chiu, Anjuli Kannan, Rohit Prabhavalkar, Zhifeng Chen, Tara N. Sainath, Yonghui Wu, Wei Han, Yu Zhang, Ruoming Pang, Sergey Kishchenko, Patrick Nguyen, Arun Narayanan, Hank Liao, Shuyuan Zhang
A Comparison of End-to-End Models for Long-Form Speech Recognition. ASRU (2019)
Wei Han, Shiyu Chang, Ding Liu, Mo Yu, Michael J. Witbrock, Thomas S. Huang
Image Super-Resolution via Dual-State Recurrent Networks. CoRR (2018)
Yingzhen Yang, Jianchao Yang, Ning Xu, Wei Han, Nebojsa Jojic, Thomas S. Huang
3D-FilterMap: A Compact Architecture for Deep Convolutional Neural Networks. ICLR (Workshop) (2018)
Wei Han, Shiyu Chang, Ding Liu, Mo Yu, Michael Witbrock, Thomas S. Huang
Image Super-Resolution via Dual-State Recurrent Networks. CVPR (2018)
Yingzhen Yang, Jianchao Yang, Ning Xu, Wei Han
Learning 3D-FilterMap for Deep Convolutional Neural Networks. CoRR (2018)
Shiyu Chang, Yang Zhang, Wei Han, Mo Yu, Xiaoxiao Guo, Wei Tan, Xiaodong Cui, Michael J. Witbrock, Mark A. Hasegawa-Johnson, Thomas S. Huang
Dilated Recurrent Neural Networks. NIPS (2017)
Radu Timofte, Eirikur Agustsson, Luc Van Gool, Ming-Hsuan Yang, Lei Zhang, Bee Lim, Sanghyun Son, Heewon Kim, Seungjun Nah, Kyoung Mu Lee, Xintao Wang, Yapeng Tian, Ke Yu, Yulun Zhang, Shixiang Wu, Chao Dong, Liang Lin, Yu Qiao, Chen Change Loy, Woong Bae, Jae Jun Yoo, Yoseob Han, Jong Chul Ye, Jae-Seok Choi, Munchurl Kim, Yuchen Fan, Jiahui Yu, Wei Han, Ding Liu, Haichao Yu, Zhangyang Wang, Honghui Shi, Xinchao Wang, Thomas S. Huang, Yunjin Chen, Kai Zhang, Wangmeng Zuo, Zhimin Tang, Linkai Luo, Shaohui Li, Min Fu, Lei Cao, Wen Heng, Giang Bui, Truc Le, Ye Duan, Dacheng Tao, Ruxin Wang, Xu Lin, Jianxin Pang, Jinchang Xu, Yu Zhao, Xiangyu Xu, Jin-shan Pan, Deqing Sun, Yujin Zhang, Xibin Song, Yuchao Dai, Xueying Qin, Xuan-Phung Huynh, Tiantong Guo, Hojjat Seyed Mousavi, Tiep Huu Vu, Vishal Monga, Cristóvão Cruz, Karen O. Egiazarian, Vladimir Katkovnik, Rakesh Mehta, Arnav Kumar Jain, Abhinav Agarwalla, Ch V. Sai Praveen, Ruofan Zhou, Hongdiao Wen, Che Zhu, Zhiqiang Xia, Zhengtao Wang, Qi Guo
NTIRE 2017 Challenge on Single Image Super-Resolution: Methods and Results. CVPR Workshops (2017)
Shiyu Chang, Yang Zhang, Wei Han, Mo Yu, Xiaoxiao Guo, Wei Tan, Xiaodong Cui, Michael J. Witbrock, Mark Hasegawa-Johnson, Thomas S. Huang
Dilated Recurrent Neural Networks. CoRR (2017)
Yuchen Fan, Honghui Shi, Jiahui Yu, Ding Liu, Wei Han, Haichao Yu, Zhangyang Wang, Xinchao Wang, Thomas S. Huang
Balanced Two-Stage Residual Networks for Image Super-Resolution. CVPR Workshops (2017)
Wei Han, Pooya Khorrami, Tom Le Paine, Prajit Ramachandran, Mohammad Babaeizadeh, Honghui Shi, Jianan Li, Shuicheng Yan, Thomas S. Huang
Seq-NMS for Video Object Detection. CoRR (2016)
Ding Liu, Zhaowen Wang, Bihan Wen, Jianchao Yang, Wei Han, Thomas S. Huang
Robust Single Image Super-Resolution via Deep Networks With Sparse Prior. IEEE Trans. Image Process. 25 (7) (2016)
Zhaowen Wang, Ding Liu, Jianchao Yang, Wei Han, Thomas S. Huang
Deep Networks for Image Super-Resolution with Sparse Prior. ICCV (2015)
Zhaowen Wang, Ding Liu, Jianchao Yang, Wei Han, Thomas S. Huang
Deeply Improved Sparse Coding for Image Super-Resolution. CoRR (2015)
Zhangyang Wang, Yingzhen Yang, Zhaowen Wang, Shiyu Chang, Wei Han, Jianchao Yang, Thomas S. Huang
Self-tuned deep super resolution. CVPR Workshops (2015)
Shiyu Chang, Wei Han, Jiliang Tang, Guo-Jun Qi, Charu C. Aggarwal, Thomas S. Huang
Heterogeneous Network Embedding via Deep Architectures. KDD (2015)
Zhangyang Wang, Yingzhen Yang, Zhaowen Wang, Shiyu Chang, Wei Han, Jianchao Yang, Thomas S. Huang
Self-Tuned Deep Super Resolution. CoRR (2015)
Tom Le Paine, Pooya Khorrami, Wei Han, Thomas S. Huang
An Analysis of Unsupervised Pre-training in Light of Recent Advances. ICLR (Workshop) (2015)