Weiran Wang

ORCID

Publication Activity (10 Years)

Years Active: 2010-2024
Publications (10 Years): 104

Top Venues

University of California, Merced, USA (PHD)

Education History

University of California, Merced, USA

PHD

Publications

Haozhe Shan, Albert Gu, Zhong Meng, Weiran Wang, Krzysztof Choromanski, Tara N. Sainath
Augmenting Conformers With Structured State-Space Sequence Models For Online Speech Recognition. ICASSP (2024)
Shaojin Ding, David Qiu, David Rim, Yanzhang He, Oleg Rybakov, Bo Li, Rohit Prabhavalkar, Weiran Wang, Tara N. Sainath, Zhonglin Han, Jian Li, Amir Yazdanbakhsh, Shivani Agrawal
USM-Lite: Quantization and Sparsity Aware Fine-Tuning for Speech Recognition with Universal Speech Models. ICASSP (2024)
Weiran Wang, Ming-e Jing, Yibo Fan, Wei Weng
PixRevive: Latent Feature Diffusion Model for Compressed Video Quality Enhancement. Sensors 24 (6) (2024)
Rohit Prabhavalkar, Zhong Meng, Weiran Wang, Adam Stooke, Xingyu Cai, Yanzhang He, Arun Narayanan, Dongseong Hwang, Tara N. Sainath, Pedro J. Moreno
Extreme Encoder Output Frame Rate Reduction: Improving Computational Latencies of Large End-to-End Models. CoRR (2024)
Gerui Lv, Qinghua Wu, Qingyue Tan, Weiran Wang, Zhenyu Li, Gaogang Xie
Accurate Throughput Prediction for Improving QoE in Mobile Adaptive Streaming. IEEE Trans. Mob. Comput. 23 (5) (2024)
Zhong Meng, Zelin Wu, Rohit Prabhavalkar, Cal Peyser, Weiran Wang, Nanxin Chen, Tara N. Sainath, Bhuvana Ramabhadran
Text Injection for Neural Contextual Biasing. CoRR (2024)
Weiran Wang, Rohit Prabhavalkar, Haozhe Shan, Zhong Meng, Dongseong Hwang, Qiujia Li, Khe Chai Sim, Bo Li, James Qin, Xingyu Cai, Adam Stooke, Chengjian Zheng, Yanzhang He, Tara N. Sainath, Pedro Moreno Mengibar
Massive End-to-end Speech Recognition Models with Time Reduction. NAACL-HLT (2024)
Rohit Prabhavalkar, Zhong Meng, Weiran Wang, Adam Stooke, Xingyu Cai, Yanzhang He, Arun Narayanan, Dongseong Hwang, Tara N. Sainath, Pedro J. Moreno
Extreme Encoder Output Frame Rate Reduction: Improving Computational Latencies of Large End-to-End Models. ICASSP (2024)
Dongseong Hwang, Weiran Wang, Zhuoyuan Huo, Khe Chai Sim, Pedro Moreno Mengibar
TransformerFAM: Feedback attention is working memory. CoRR (2024)
Zelin Wu, Gan Song, Christopher Li, Pat Rondon, Zhong Meng, Xavier Velez, Weiran Wang, Diamantino Caseiro, Golan Pundak, Tsendsuren Munkhdalai, Angad Chandorkar, Rohit Prabhavalkar
Deferred NAM: Low-latency Top-K Context Injection via Deferred Context Encoding for Non-Streaming ASR. CoRR (2024)
Weiran Wang, Rohit Prabhavalkar, Dongseong Hwang, Qiujia Li, Khe Chai Sim, Bo Li, James Qin, Xingyu Cai, Adam Stooke, Zhong Meng, CJ Zheng, Yanzhang He, Tara N. Sainath, Pedro Moreno Mengibar
Massive End-to-end Models for Short Search Queries. CoRR (2023)
Yiling Huang, Weiran Wang, Guanlong Zhao, Hank Liao, Wei Xia, Quan Wang
Towards Word-Level End-to-End Neural Speaker Diarization with Auxiliary Network. CoRR (2023)
Shaojin Ding, David Qiu, David Rim, Yanzhang He, Oleg Rybakov, Bo Li, Rohit Prabhavalkar, Weiran Wang, Tara N. Sainath, Shivani Agrawal, Zhonglin Han, Jian Li, Amir Yazdanbakhsh
USM-Lite: Quantization and Sparsity Aware Fine-tuning for Speech Recognition with Universal Speech Models. CoRR (2023)
Haozhe Shan, Albert Gu, Zhong Meng, Weiran Wang, Krzysztof Choromanski, Tara N. Sainath
Augmenting conformers with structured state space models for online speech recognition. CoRR (2023)
Xingyu Cai, David Qiu, Shaojin Ding, Dongseong Hwang, Weiran Wang, Antoine Bruguier, Rohit Prabhavalkar, Tara N. Sainath, Yanzhang He
Efficient Cascaded Streaming ASR System Via Frame Rate Reduction. ASRU (2023)
Rami Botros, Anmol Gulati, Tara N. Sainath, Krzysztof Choromanski, Ruoming Pang, Trevor Strohman, Weiran Wang, Jiahui Yu
Practical Conformer: Optimizing size, speed and flops of Conformer for on-Device and cloud ASR. CoRR (2023)
Weiran Wang, Zelin Wu, Diamantino Caseiro, Tsendsuren Munkhdalai, Khe Chai Sim, Pat Rondon, Golan Pundak, Gan Song, Rohit Prabhavalkar, Zhong Meng, Ding Zhao, Tara N. Sainath, Pedro Moreno Mengibar
Contextual Biasing with the Knuth-Morris-Pratt Matching Algorithm. CoRR (2023)
Shaan Bijwadia, Shuo-Yiin Chang, Weiran Wang, Zhong Meng, Hao Zhang
Text Injection for Capitalization and Turn-Taking Prediction in Speech Models. INTERSPEECH (2023)
Zhong Meng, Weiran Wang, Rohit Prabhavalkar, Tara N. Sainath, Tongzhou Chen, Ehsan Variani, Yu Zhang, Bo Li, Andrew Rosenberg, Bhuvana Ramabhadran
JEIT: Joint End-to-End Model and Internal Language Model Training for Speech Recognition. CoRR (2023)
Gan Song, Zelin Wu, Golan Pundak, Angad Chandorkar, Kandarp Joshi, Xavier Velez, Diamantino Caseiro, Ben Haynor, Weiran Wang, Nikhil Siddhartha, Pat Rondon, Khe Chai Sim
Contextual Spelling Correction with Large Language Models. ASRU (2023)
Zhong Meng, Weiran Wang, Rohit Prabhavalkar, Tara N. Sainath, Tongzhou Chen, Ehsan Variani, Yu Zhang, Bo Li, Andrew Rosenberg, Bhuvana Ramabhadran
JEIT: Joint End-to-End Model and Internal Language Model Training for Speech Recognition. ICASSP (2023)
Shaan Bijwadia, Shuo-Yiin Chang, Weiran Wang, Zhong Meng, Hao Zhang, Tara N. Sainath
Text Injection for Capitalization and Turn-Taking Prediction in Speech Models. CoRR (2023)
Zhiheng Xi, Wenxiang Chen, Xin Guo, Wei He, Yiwen Ding, Boyang Hong, Ming Zhang, Junzhe Wang, Senjie Jin, Enyu Zhou, Rui Zheng, Xiaoran Fan, Xiao Wang, Limao Xiong, Yuhao Zhou, Weiran Wang, Changhao Jiang, Yicheng Zou, Xiangyang Liu, Zhangyue Yin, Shihan Dou, Rongxiang Weng, Wensen Cheng, Qi Zhang, Wenjuan Qin, Yongyan Zheng, Xipeng Qiu, Xuanjing Huan, Tao Gui
The Rise and Potential of Large Language Model Based Agents: A Survey. CoRR (2023)
Weiran Wang, Ding Zhao, Shaojin Ding, Hao Zhang, Shuo-Yiin Chang, David Rybach, Tara N. Sainath, Yanzhang He, Ian McGraw, Shankar Kumar
Multi-Output RNN-T Joint Networks for Multi-Task Learning of ASR and Auxiliary Tasks. ICASSP (2023)
Weiran Wang, Tongzhou Chen, Tara N. Sainath, Ehsan Variani, Rohit Prabhavalkar, W. Ronny Huang, Bhuvana Ramabhadran, Neeraj Gaur, Sepand Mavandadi, Cal Peyser, Trevor Strohman, Yanzhang He, David Rybach
Improving Rare Word Recognition with LM-aware MWER Training. INTERSPEECH (2022)
Qi Lyu, Xiao Fu, Weiran Wang, Songtao Lu
Understanding Latent Correlation-Based Multiview Learning and Self-Supervision: An Identifiability Perspective. ICLR (2022)
Weiran Wang, Huijun Di, Lingxiao Song
Reconstructing 3D Contour Models of General Scenes from RGB-D Sequences. MMM (2) (2022)
Lingxiao Song, Xiao Yu, Huijun Di, Weiran Wang
High-Quality Surface-Based 3D Reconstruction Using 2.5D Maps. VR Workshops (2022)
Xian Luo, Weiran Wang, Dai Zhang, Shengwei Wang, Xiang Li
Energy-Efficient Communication Based on Multi-RIS and Sleep Strategy in Electric IoT. CSCloud/EdgeCom (2022)
Ke Hu, Tara N. Sainath, Yanzhang He, Rohit Prabhavalkar, Trevor Strohman, Sepand Mavandadi, Weiran Wang
Improving Deliberation by Text-Only and Semi-Supervised Training. INTERSPEECH (2022)
Gerui Lv, Qinghua Wu, Weiran Wang, Zhenyu Li, Gaogang Xie
Lumos: towards Better Video Streaming QoE through Accurate Throughput Prediction. INFOCOM (2022)
Weiran Wang, Ke Hu, Tara N. Sainath
Deliberation of Streaming RNN-Transducer by Non-Autoregressive Decoding. ICASSP (2022)
Yawei Li, Kai Zhang, Radu Timofte, Luc Van Gool, Fangyuan Kong, Mingxi Li, Songwei Liu, Zongcai Du, Ding Liu, Chenhui Zhou, Jingyi Chen, Qingrui Han, Zheyuan Li, Yingqi Liu, Xiangyu Chen, Haoming Cai, Yu Qiao, Chao Dong, Long Sun, Jinshan Pan, Yi Zhu, Zhikai Zong, Xiaoxiao Liu, Zheng Hui, Tao Yang, Peiran Ren, Xuansong Xie, Xian-Sheng Hua, Yanbo Wang, Xiaozhong Ji, Chuming Lin, Donghao Luo, Ying Tai, Chengjie Wang, Zhizhong Zhang, Yuan Xie, Shen Cheng, Ziwei Luo, Lei Yu, Zhihong Wen, Qi Wu, Youwei Li, Haoqiang Fan, Jian Sun, Shuaicheng Liu, Yuanfei Huang, Meiguang Jin, Hua Huang, Jing Liu, Xinjian Zhang, Yan Wang, Lingshun Long, Gen Li, Yuanfan Zhang, Zuowei Cao, Lei Sun, Panaetov Alexander, Yucong Wang, Minjie Cai, Li Wang, Lu Tian, Zheyuan Wang, Hongbing Ma, Jie Liu, Chao Chen, Yidong Cai, Jie Tang, Gangshan Wu, Weiran Wang, Shirui Huang, Honglei Lu, Huan Liu, Keyan Wang, Jun Chen, Shi Chen, Yuchun Miao, Zimo Huang, Lefei Zhang, Mustafa Ayazoglu, Wei Xiong, Chengyi Xiong, Fei Wang, Hao Li, Ruimian Wen, Zhijing Yang, Wenbin Zou, Weixin Zheng, Tian Ye, Yuncheng Zhang, Xiangzhen Kong, Aditya Arora, Syed Waqas Zamir, Salman H. Khan, Munawar Hayat, Fahad Shahbaz Khan, Dandan Gao, Dengwen Zhou, Qian Ning, Jingzhu Tang, Han Huang, Yufei Wang, Zhangheng Peng, Haobo Li, Wenxue Guan, Shenghua Gong, Xin Li, Jun Liu, Wanjun Wang, Kun Zeng, Hanjiang Lin, Xinyu Chen, Jinsheng Fang
NTIRE 2022 Challenge on Efficient Super-Resolution: Methods and Results. CVPR Workshops (2022)
Weiran Wang, Tongzhou Chen, Tara N. Sainath, Ehsan Variani, Rohit Prabhavalkar, W. Ronny Huang, Bhuvana Ramabhadran, Neeraj Gaur, Sepand Mavandadi, Cal Peyser, Trevor Strohman, Yanzhang He, David Rybach
Improving Rare Word Recognition with LM-aware MWER Training. 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)
Jingbo Chen, Wen Du, Bo Kong, Zhiguo Wang, Jun Cao, Weiran Wang, Zhe Yan
Numerical Investigation on the Symmetric Breakup of Bubble within a Heated Microfluidic Y-Junction. Symmetry 14 (8) (2022)
Tara N. Sainath, Rohit Prabhavalkar, Ankur Bapna, Yu Zhang, Zhouyuan Huo, Zhehuai Chen, Bo Li, Weiran Wang, Trevor Strohman
JOIST: A Joint Speech and Text Streaming Model For ASR. CoRR (2022)
Ke Hu, Tara N. Sainath, Yanzhang He, Rohit Prabhavalkar, Trevor Strohman, Sepand Mavandadi, Weiran Wang
Improving Deliberation by Text-Only and Semi-Supervised Training. CoRR (2022)
Shaojin Ding, Weiran Wang, Ding Zhao, Tara N. Sainath, Yanzhang He, Robert David, Rami Botros, Xin Wang, Rina Panigrahy, Qiao Liang, Dongseong Hwang, Ian McGraw, Rohit Prabhavalkar, Trevor Strohman
A Unified Cascaded Encoder ASR Model for Dynamic Model Sizes. INTERSPEECH (2022)
Weiran Wang, Ke Hu, Tara N. Sainath
Streaming Align-Refine for Non-autoregressive Deliberation. CoRR (2022)
Shaojin Ding, Weiran Wang, Ding Zhao, Tara N. Sainath, Yanzhang He, Robert David, Rami Botros, Xin Wang, Rina Panigrahy, Qiao Liang, Dongseong Hwang, Ian McGraw, Rohit Prabhavalkar, Trevor Strohman
A Unified Cascaded Encoder ASR Model for Dynamic Model Sizes. CoRR (2022)
Weiran Wang, Ke Hu, Tara N. Sainath
Streaming Align-Refine for Non-autoregressive Deliberation. INTERSPEECH (2022)
Tara N. Sainath, Rohit Prabhavalkar, Ankur Bapna, Yu Zhang, Zhouyuan Huo, Zhehuai Chen, Bo Li, Weiran Wang, Trevor Strohman
JOIST: A Joint Speech and Text Streaming Model for ASR. SLT (2022)
Aogang Wang, Pengfei Zhi, Wanlu Zhu, Haiyang Qiu, Hui Wang, Weiran Wang
Path Planning of Unmanned Surface Vehicle Based on A* Algorithm Optimization Considering the Influence of Risk Factors. ICPS (2021)
Junwen Bai, Weiran Wang, Carla P. Gomes
Contrastively Disentangled Sequential Variational Autoencoder. CoRR (2021)
Weiran Wang, Jing Wu, Ning Li, Ruiliang Song
Joint User Association and Resource Allocation for MmWave and THz Coexistence Networks. ISPA/BDCloud/SocialCom/SustainCom (2021)
Junwen Bai, Weiran Wang, Carla P. Gomes
Contrastively Disentangled Sequential Variational Autoencoder. NeurIPS (2021)
Qi Lyu, Xiao Fu, Weiran Wang, Songtao Lu
Latent Correlation-Based Multiview Learning and Self-Supervision: A Unifying Perspective. CoRR (2021)
Junwen Bai, Weiran Wang, Yingbo Zhou, Caiming Xiong
Representation Learning for Sequence Data with Deep Autoencoding Predictive Components. ICLR (2021)
Weiran Wang, Ke Hu, Tara N. Sainath
Deliberation of Streaming RNN-Transducer by Non-autoregressive Decoding. CoRR (2021)
Junwen Bai, Weiran Wang, Yingbo Zhou, Caiming Xiong
Representation Learning for Sequence Data with Deep Autoencoding Predictive Components. CoRR (2020)
Weiran Wang, Guangsen Wang, Aadyot Bhatnagar, Yingbo Zhou, Caiming Xiong, Richard Socher
An Investigation of Phone-Based Subword Units for End-to-End Speech Recognition. INTERSPEECH (2020)
Weimin Wang, Weiran Wang, Ming Sun, Chao Wang
Acoustic Scene Analysis with Multi-Head Attention Networks. INTERSPEECH (2020)
Yang Chen, Weiran Wang, Chao Wang
Semi-Supervised ASR by End-to-End Self-Training. INTERSPEECH (2020)
Harshavardhan Sundar, Weiran Wang, Ming Sun, Chao Wang
Raw Waveform Based End-to-end Deep Convolutional Network for Spatial Localization of Multiple Acoustic Sources. ICASSP (2020)
Weiran Wang, Qingming Tang, Karen Livescu
Unsupervised Pre-training of Bidirectional Speech Encoders via Masked Reconstruction. CoRR (2020)
Yang Chen, Weiran Wang, I-Fan Chen, Chao Wang
Data Techniques For Online End-to-end Speech Recognition. CoRR (2020)
Weiran Wang, Qingming Tang, Karen Livescu
Unsupervised Pre-Training of Bidirectional Speech Encoders via Masked Reconstruction. ICASSP (2020)
Yang Chen, Weiran Wang, Chao Wang
Semi-supervised ASR by End-to-end Self-training. CoRR (2020)
Chieh-Chi Kao, Ming Sun, Weiran Wang, Chao Wang
A Comparison of Pooling Methods on LSTM Models for Rare Acoustic Event Classification. CoRR (2020)
Chieh-Chi Kao, Ming Sun, Weiran Wang, Chao Wang
A Comparison of Pooling Methods on LSTM Models for Rare Acoustic Event Classification. ICASSP (2020)
Gustavo Aguilar, Viktor Rozgic, Weiran Wang, Chao Wang
Multimodal and Multi-view Models for Emotion Recognition. ACL (1) (2019)
Jingyu Wang, Weiran Wang, Anliang Zhou
The Faster Detection and Recognition of Traffic Signs Based on CNN. ISKE (2019)
Weiran Wang
Everything old is new again: A multi-view learning approach to learning using privileged information and distillation. CoRR (2019)
Chao Gao, Dan Garber, Nathan Srebro, Jialei Wang, Weiran Wang
Stochastic Canonical Correlation Analysis. J. Mach. Learn. Res. 20 (2019)
Weimin Wang, Weiran Wang, Ming Sun, Chao Wang
Acoustic scene analysis with multi-head attention networks. CoRR (2019)
Weiran Wang, Nathan Srebro
Stochastic Nonconvex Optimization with Large Minibatches. ALT (2019)
Gustavo Aguilar, Viktor Rozgic, Weiran Wang, Chao Wang
Multimodal and Multi-view Models for Emotion Recognition. CoRR (2019)
Qingming Tang, Weiran Wang, Karen Livescu
Acoustic feature learning using cross-domain articulatory measurements. CoRR (2018)
Yin Ni, Zeyu Su, Weiran Wang, Yuhang Ying
A novel stock evaluation index based on public opinion analysis. IIKI (2018)
Chieh-Chi Kao, Weiran Wang, Ming Sun, Chao Wang
R-CRNN: Region-based Convolutional Recurrent Neural Network for Audio Event Detection. INTERSPEECH (2018)
Weiran Wang, Chieh-Chi Kao, Chao Wang
A simple model for detection of rare sound events. CoRR (2018)
Weiran Wang, Jialei Wang, Mladen Kolar, Nathan Srebro
Distributed Stochastic Multi-Task Learning with Graph Regularization. CoRR (2018)
Jialei Wang, Weiran Wang, Dan Garber, Nathan Srebro
Efficient coordinate-wise leading eigenvector computation. ALT (2018)
Weiran Wang, Chieh-Chi Kao, Chao Wang
A Simple Model for Detection of Rare Sound Events. INTERSPEECH (2018)
Chieh-Chi Kao, Weiran Wang, Ming Sun, Chao Wang
R-CRNN: Region-based Convolutional Recurrent Neural Network for Audio Event Detection. CoRR (2018)
Qingming Tang, Weiran Wang, Karen Livescu
Acoustic Feature Learning Using Cross-Domain Articulatory Measurements. ICASSP (2018)
Jialei Wang, Weiran Wang, Nathan Srebro
Memory and Communication Efficient Distributed Stochastic Optimization with Minibatch Prox. CoRR (2017)
Weiran Wang, Nathan Srebro
Stochastic Nonconvex Optimization with Large Minibatches. CoRR (2017)
Chao Gao, Dan Garber, Nathan Srebro, Jialei Wang, Weiran Wang
Stochastic Canonical Correlation Analysis. CoRR (2017)
Wanjia He, Weiran Wang, Karen Livescu
Multi-view Recurrent Neural Acoustic Word Embeddings. ICLR (Poster) (2017)
Qingming Tang, Weiran Wang, Karen Livescu
Acoustic Feature Learning via Deep Variational Canonical Correlation Analysis. CoRR (2017)
Jialei Wang, Weiran Wang, Nathan Srebro
Memory and Communication Efficient Distributed Stochastic Optimization with Minibatch Prox. COLT (2017)
Jialei Wang, Weiran Wang, Dan Garber, Nathan Srebro
Efficient coordinate-wise leading eigenvector computation. CoRR (2017)
Taehwan Kim, Jonathan Keane, Weiran Wang, Hao Tang, Jason Riggle, Gregory Shakhnarovich, Diane Brentari, Karen Livescu
Lexicon-free fingerspelling recognition from video: Data, models, and signer adaptation. Comput. Speech Lang. 46 (2017)
Qingming Tang, Weiran Wang, Karen Livescu
Acoustic Feature Learning via Deep Variational Canonical Correlation Analysis. INTERSPEECH (2017)
Taehwan Kim, Weiran Wang, Hao Tang, Karen Livescu
Signer-independent Fingerspelling Recognition with Deep Neural Network Adaptation. CoRR (2016)
Wanjia He, Weiran Wang, Karen Livescu
Multi-view Recurrent Neural Acoustic Word Embeddings. CoRR (2016)
Tomer Michaeli, Weiran Wang, Karen Livescu
Nonparametric Canonical Correlation Analysis. ICML (2016)
Weiran Wang, Raman Arora, Karen Livescu, Jeff A. Bilmes
On Deep Multi-View Representation Learning: Objectives and Optimization. CoRR (2016)
Hao Tang, Weiran Wang, Kevin Gimpel, Karen Livescu
Efficient Segmental Cascades for Speech Recognition. CoRR (2016)
Weiran Wang, Honglak Lee, Karen Livescu
Deep Variational Canonical Correlation Analysis. CoRR (2016)
Hao Tang, Weiran Wang, Kevin Gimpel, Karen Livescu
Efficient Segmental Cascades for Speech Recognition. INTERSPEECH (2016)
Hao Tang, Weiran Wang, Kevin Gimpel, Karen Livescu
End-to-End Training Approaches for Discriminative Segmental Models. CoRR (2016)
Herman Kamper, Weiran Wang, Karen Livescu
Deep convolutional acoustic word embeddings using word-pair side information. ICASSP (2016)
Weiran Wang, Karen Livescu
Large-Scale Approximate Kernel Canonical Correlation Analysis. ICLR (Poster) (2016)
Taehwan Kim, Weiran Wang, Hao Tang, Karen Livescu
Signer-independent fingerspelling recognition with deep neural network adaptation. ICASSP (2016)
Hao Tang, Weiran Wang, Kevin Gimpel, Karen Livescu
End-to-end training approaches for discriminative segmental models. SLT (2016)
Weiran Wang
On Column Selection in Approximate Kernel Canonical Correlation Analysis. CoRR (2016)
Weiran Wang, Jialei Wang, Dan Garber, Nati Srebro
Efficient Globally Convergent Stochastic Optimization for Canonical Correlation Analysis. NIPS (2016)

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Publication Activity (10 Years)

Top Topics

Top Venues

Weiran Wang