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Books and Theses
- 2013
[b1]Weiran Wang:
Mean-shift algorithms for manifold denoising, matrix completion and clustering. University of California, Merced, USA, 2013
Journal Articles
- 2024
- [j6]Weiran Wang, Ming-e Jing, Yibo Fan, Wei Weng
:
PixRevive: Latent Feature Diffusion Model for Compressed Video Quality Enhancement. Sensors 24(6): 1907 (2024) - [j5]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): 5799-5817 (2024) - 2022
- [j4]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): 1661 (2022) - 2019
- [j3]Chao Gao, Dan Garber, Nathan Srebro, Jialei Wang, Weiran Wang:
Stochastic Canonical Correlation Analysis. J. Mach. Learn. Res. 20: 167:1-167:46 (2019) - 2017
- [j2]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: 209-232 (2017) - 2011
- [j1]Weiran Wang, Yushun Fan:
Performance Measurement of Service Oriented Enterprise: An EVA-Based Approach. J. Comput. 6(5): 1006-1015 (2011)
Conference and Workshop Papers
- 2024
- [c64]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: 10756-10760 - [c63]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: 11816-11820 - [c62]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: 12221-12225 - [c61]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. NAACL (Industry Track) 2024: 315-323 - [c60]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: 6206-6217 - 2023
- [c59]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: 1-8 - [c58]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: 1-8 - [c57]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: 1-5 - [c56]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: 1-5 - [c55]Shaan Bijwadia, Shuo-Yiin Chang, Weiran Wang, Zhong Meng, Hao Zhang:
Text Injection for Capitalization and Turn-Taking Prediction in Speech Models. INTERSPEECH 2023: 1409-1413 - 2022
- [c54]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: 68-73 - [c53]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: 1061-1101 - [c52]Weiran Wang, Ke Hu, Tara N. Sainath:
Deliberation of Streaming RNN-Transducer by Non-Autoregressive Decoding. ICASSP 2022: 7452-7456 - [c51]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: 8112-8116 - [c50]Qi Lyu, Xiao Fu, Weiran Wang, Songtao Lu:
Understanding Latent Correlation-Based Multiview Learning and Self-Supervision: An Identifiability Perspective. ICLR 2022 - [c49]Gerui Lv, Qinghua Wu, Weiran Wang, Zhenyu Li, Gaogang Xie:
Lumos: towards Better Video Streaming QoE through Accurate Throughput Prediction. INFOCOM 2022: 650-659 - [c48]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: 1031-1035 - [c47]Weiran Wang, Ke Hu, Tara N. Sainath:
Streaming Align-Refine for Non-autoregressive Deliberation. INTERSPEECH 2022: 1696-1700 - [c46]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: 1706-1710 - [c45]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: 4940-4944 - [c44]Weiran Wang, Huijun Di, Lingxiao Song:
Reconstructing 3D Contour Models of General Scenes from RGB-D Sequences. MMM (2) 2022: 158-170 - [c43]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: 52-59 - [c42]Lingxiao Song, Xiao Yu, Huijun Di, Weiran Wang:
High-Quality Surface-Based 3D Reconstruction Using 2.5D Maps. VR Workshops 2022: 758-759 - 2021
- [c41]Junwen Bai, Weiran Wang, Yingbo Zhou, Caiming Xiong:
Representation Learning for Sequence Data with Deep Autoencoding Predictive Components. ICLR 2021 - [c40]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: 810-815 - [c39]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: 1287-1294 - [c38]Junwen Bai, Weiran Wang, Carla P. Gomes:
Contrastively Disentangled Sequential Variational Autoencoder. NeurIPS 2021: 10105-10118 - 2020
- [c37]Chieh-Chi Kao, Ming Sun, Weiran Wang, Chao Wang:
A Comparison of Pooling Methods on LSTM Models for Rare Acoustic Event Classification. ICASSP 2020: 316-320 - [c36]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: 4642-4646 - [c35]Weiran Wang, Qingming Tang, Karen Livescu:
Unsupervised Pre-Training of Bidirectional Speech Encoders via Masked Reconstruction. ICASSP 2020: 6889-6893 - [c34]Weimin Wang, Weiran Wang, Ming Sun, Chao Wang:
Acoustic Scene Analysis with Multi-Head Attention Networks. INTERSPEECH 2020: 1191-1195 - [c33]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: 1778-1782 - [c32]Yang Chen, Weiran Wang, Chao Wang:
Semi-Supervised ASR by End-to-End Self-Training. INTERSPEECH 2020: 2787-2791 - 2019
- [c31]Gustavo Aguilar, Viktor Rozgic, Weiran Wang, Chao Wang:
Multimodal and Multi-view Models for Emotion Recognition. ACL (1) 2019: 991-1002 - [c30]Weiran Wang, Nathan Srebro:
Stochastic Nonconvex Optimization with Large Minibatches. ALT 2019: 856-881 - [c29]Jingyu Wang, Weiran Wang, Anliang Zhou:
The Faster Detection and Recognition of Traffic Signs Based on CNN. ISKE 2019: 907-914 - 2018
- [c28]Jialei Wang, Weiran Wang, Dan Garber, Nathan Srebro:
Efficient coordinate-wise leading eigenvector computation. ALT 2018: 806-820 - [c27]Qingming Tang, Weiran Wang, Karen Livescu:
Acoustic Feature Learning Using Cross-Domain Articulatory Measurements. ICASSP 2018: 4849-4853 - [c26]Yin Ni, Zeyu Su, Weiran Wang, Yuhang Ying:
A novel stock evaluation index based on public opinion analysis. IIKI 2018: 581-587 - [c25]Weiran Wang, Chieh-Chi Kao, Chao Wang:
A Simple Model for Detection of Rare Sound Events. INTERSPEECH 2018: 1344-1348 - [c24]Chieh-Chi Kao, Weiran Wang, Ming Sun, Chao Wang:
R-CRNN: Region-based Convolutional Recurrent Neural Network for Audio Event Detection. INTERSPEECH 2018: 1358-1362 - 2017
- [c23]Jialei Wang, Weiran Wang, Nathan Srebro:
Memory and Communication Efficient Distributed Stochastic Optimization with Minibatch Prox. COLT 2017: 1882-1919 - [c22]Wanjia He, Weiran Wang, Karen Livescu:
Multi-view Recurrent Neural Acoustic Word Embeddings. ICLR (Poster) 2017 - [c21]Qingming Tang, Weiran Wang, Karen Livescu:
Acoustic Feature Learning via Deep Variational Canonical Correlation Analysis. INTERSPEECH 2017: 1656-1660 - 2016
- [c20]Herman Kamper, Weiran Wang, Karen Livescu:
Deep convolutional acoustic word embeddings using word-pair side information. ICASSP 2016: 4950-4954 - [c19]Taehwan Kim, Weiran Wang, Hao Tang, Karen Livescu:
Signer-independent fingerspelling recognition with deep neural network adaptation. ICASSP 2016: 6160-6164 - [c18]Tomer Michaeli, Weiran Wang, Karen Livescu:
Nonparametric Canonical Correlation Analysis. ICML 2016: 1967-1976 - [c17]Hao Tang, Weiran Wang, Kevin Gimpel, Karen Livescu:
Efficient Segmental Cascades for Speech Recognition. INTERSPEECH 2016: 1903-1907 - [c16]Weiran Wang, Hao Tang, Karen Livescu:
Triphone State-Tying via Deep Canonical Correlation Analysis. INTERSPEECH 2016: 3444-3448 - [c15]Weiran Wang, Jialei Wang, Dan Garber, Nati Srebro:
Efficient Globally Convergent Stochastic Optimization for Canonical Correlation Analysis. NIPS 2016: 766-774 - [c14]Hao Tang, Weiran Wang, Kevin Gimpel, Karen Livescu:
End-to-end training approaches for discriminative segmental models. SLT 2016: 496-502 - [c13]Weiran Wang, Karen Livescu:
Large-Scale Approximate Kernel Canonical Correlation Analysis. ICLR (Poster) 2016 - 2015
- [c12]Weiran Wang, Raman Arora, Karen Livescu, Nathan Srebro:
Stochastic optimization for deep CCA via nonlinear orthogonal iterations. Allerton 2015: 688-695 - [c11]Hao Tang, Weiran Wang, Kevin Gimpel, Karen Livescu:
Discriminative segmental cascades for feature-rich phone recognition. ASRU 2015: 561-568 - [c10]Weiran Wang, Raman Arora, Karen Livescu, Jeff A. Bilmes:
Unsupervised learning of acoustic features via deep canonical correlation analysis. ICASSP 2015: 4590-4594 - [c9]Weiran Wang, Raman Arora, Karen Livescu, Jeff A. Bilmes:
On Deep Multi-View Representation Learning. ICML 2015: 1083-1092 - [c8]Ang Lu, Weiran Wang, Mohit Bansal, Kevin Gimpel, Karen Livescu:
Deep Multilingual Correlation for Improved Word Embeddings. HLT-NAACL 2015: 250-256 - 2014
- [c7]Miguel Á. Carreira-Perpiñán, Weiran Wang:
LASS: A Simple Assignment Model with Laplacian Smoothing. AAAI 2014: 1715-1721 - [c6]Weiran Wang, Miguel Á. Carreira-Perpiñán:
The Role of Dimensionality Reduction in Classification. AAAI 2014: 2128-2134 - [c5]Miguel Á. Carreira-Perpiñán, Weiran Wang:
Distributed optimization of deeply nested systems. AISTATS 2014: 10-19 - [c4]Weiran Wang, Raman Arora, Karen Livescu:
Reconstruction of articulatory measurements with smoothed low-rank matrix completion. SLT 2014: 54-59 - 2012
- [c3]Weiran Wang, Miguel Á. Carreira-Perpiñán:
Nonlinear low-dimensional regression using auxiliary coordinates. AISTATS 2012: 1295-1304 - 2011
- [c2]Weiran Wang, Miguel Á. Carreira-Perpiñán, Zhengdong Lu:
A Denoising View of Matrix Completion. NIPS 2011: 334-342 - 2010
- [c1]Weiran Wang, Miguel Á. Carreira-Perpiñán:
Manifold blurring mean shift algorithms for manifold denoising. CVPR 2010: 1759-1766
Informal and Other Publications
- 2024
- [i60]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 abs/2402.17184 (2024) - [i59]Dongseong Hwang, Weiran Wang, Zhuoyuan Huo, Khe Chai Sim, Pedro Moreno Mengibar:
TransformerFAM: Feedback attention is working memory. CoRR abs/2404.09173 (2024) - [i58]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 abs/2404.10180 (2024) - [i57]Zhong Meng, Zelin Wu, Rohit Prabhavalkar, Cal Peyser, Weiran Wang, Nanxin Chen, Tara N. Sainath, Bhuvana Ramabhadran:
Text Injection for Neural Contextual Biasing. CoRR abs/2406.02921 (2024) - 2023
- [i56]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 abs/2302.08583 (2023) - [i55]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 abs/2304.00171 (2023) - [i54]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 abs/2308.07395 (2023) - [i53]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 Huang, Tao Gui:
The Rise and Potential of Large Language Model Based Agents: A Survey. CoRR abs/2309.07864 (2023) - [i52]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 abs/2309.08489 (2023) - [i51]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 abs/2309.08551 (2023) - [i50]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 abs/2309.12963 (2023) - [i49]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 abs/2310.00178 (2023) - [i48]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 abs/2312.08553 (2023) - 2022
- [i47]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 abs/2204.06164 (2022) - [i46]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 abs/2204.07553 (2022) - [i45]Weiran Wang, Ke Hu, Tara N. Sainath:
Streaming Align-Refine for Non-autoregressive Deliberation. CoRR abs/2204.07556 (2022) - [i44]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 abs/2206.14716 (2022) - [i43]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 abs/2210.07353 (2022) - 2021
- [i42]Qi Lyu, Xiao Fu, Weiran Wang, Songtao Lu:
Latent Correlation-Based Multiview Learning and Self-Supervision: A Unifying Perspective. CoRR abs/2106.07115 (2021) - [i41]Junwen Bai, Weiran Wang, Carla P. Gomes:
Contrastively Disentangled Sequential Variational Autoencoder. CoRR abs/2110.12091 (2021) - [i40]Weiran Wang, Ke Hu, Tara N. Sainath:
Deliberation of Streaming RNN-Transducer by Non-autoregressive Decoding. CoRR abs/2112.11442 (2021) - 2020
- [i39]Yang Chen, Weiran Wang, Chao Wang:
Semi-supervised ASR by End-to-end Self-training. CoRR abs/2001.09128 (2020) - [i38]Yang Chen, Weiran Wang, I-Fan Chen, Chao Wang:
Data Techniques For Online End-to-end Speech Recognition. CoRR abs/2001.09221 (2020) - [i37]Weiran Wang, Qingming Tang, Karen Livescu:
Unsupervised Pre-training of Bidirectional Speech Encoders via Masked Reconstruction. CoRR abs/2001.10603 (2020) - [i36]Chieh-Chi Kao, Ming Sun, Weiran Wang, Chao Wang:
A Comparison of Pooling Methods on LSTM Models for Rare Acoustic Event Classification. CoRR abs/2002.06279 (2020) - [i35]Junwen Bai, Weiran Wang, Yingbo Zhou, Caiming Xiong:
Representation Learning for Sequence Data with Deep Autoencoding Predictive Components. CoRR abs/2010.03135 (2020) - 2019
- [i34]Weiran Wang:
Everything old is new again: A multi-view learning approach to learning using privileged information and distillation. CoRR abs/1903.03694 (2019) - [i33]Gustavo Aguilar, Viktor Rozgic, Weiran Wang, Chao Wang:
Multimodal and Multi-view Models for Emotion Recognition. CoRR abs/1906.10198 (2019) - [i32]Weimin Wang, Weiran Wang, Ming Sun, Chao Wang:
Acoustic scene analysis with multi-head attention networks. CoRR abs/1909.08961 (2019) - 2018
- [i31]Weiran Wang, Jialei Wang, Mladen Kolar, Nathan Srebro:
Distributed Stochastic Multi-Task Learning with Graph Regularization. CoRR abs/1802.03830 (2018) - [i30]Qingming Tang, Weiran Wang, Karen Livescu:
Acoustic feature learning using cross-domain articulatory measurements. CoRR abs/1803.06805 (2018) - [i29]Chieh-Chi Kao, Weiran Wang, Ming Sun, Chao Wang:
R-CRNN: Region-based Convolutional Recurrent Neural Network for Audio Event Detection. CoRR abs/1808.06627 (2018) - [i28]Weiran Wang, Chieh-Chi Kao, Chao Wang:
A simple model for detection of rare sound events. CoRR abs/1808.06676 (2018) - 2017
- [i27]Jialei Wang, Weiran Wang, Nathan Srebro:
Memory and Communication Efficient Distributed Stochastic Optimization with Minibatch Prox. CoRR abs/1702.06269 (2017) - [i26]Chao Gao, Dan Garber, Nathan Srebro, Jialei Wang, Weiran Wang:
Stochastic Canonical Correlation Analysis. CoRR abs/1702.06533 (2017) - [i25]Jialei Wang, Weiran Wang, Dan Garber, Nathan Srebro:
Efficient coordinate-wise leading eigenvector computation. CoRR abs/1702.07834 (2017) - [i24]Qingming Tang, Weiran Wang, Karen Livescu:
Acoustic Feature Learning via Deep Variational Canonical Correlation Analysis. CoRR abs/1708.04673 (2017) - [i23]Weiran Wang, Nathan Srebro:
Stochastic Nonconvex Optimization with Large Minibatches. CoRR abs/1709.08728 (2017) - 2016
- [i22]Weiran Wang, Raman Arora, Karen Livescu, Jeff A. Bilmes:
On Deep Multi-View Representation Learning: Objectives and Optimization. CoRR abs/1602.01024 (2016) - [i21]Weiran Wang:
On Column Selection in Approximate Kernel Canonical Correlation Analysis. CoRR abs/1602.02172 (2016) - [i20]Qingming Tang, Lifu Tu, Weiran Wang, Jinbo Xu:
Network Inference by Learned Node-Specific Degree Prior. CoRR abs/1602.02386 (2016) - [i19]Taehwan Kim, Weiran Wang, Hao Tang, Karen Livescu:
Signer-independent Fingerspelling Recognition with Deep Neural Network Adaptation. CoRR abs/1602.04278 (2016) - [i18]Weiran Wang, Jialei Wang, Nathan Srebro:
Globally Convergent Stochastic Optimization for Canonical Correlation Analysis. CoRR abs/1604.01870 (2016) - [i17]Hao Tang, Weiran Wang, Kevin Gimpel, Karen Livescu:
Efficient Segmental Cascades for Speech Recognition. CoRR abs/1608.00929 (2016) - [i16]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. CoRR abs/1609.07876 (2016) - [i15]Weiran Wang, Honglak Lee, Karen Livescu:
Deep Variational Canonical Correlation Analysis. CoRR abs/1610.03454 (2016) - [i14]Hao Tang, Weiran Wang, Kevin Gimpel, Karen Livescu:
End-to-End Training Approaches for Discriminative Segmental Models. CoRR abs/1610.06700 (2016) - [i13]Wanjia He, Weiran Wang, Karen Livescu:
Multi-view Recurrent Neural Acoustic Word Embeddings. CoRR abs/1611.04496 (2016) - 2015
- [i12]Weiran Wang:
An O(n log n) projection operator for weighted ℓ1-norm regularization with sum constraint. CoRR abs/1503.00600 (2015) - [i11]Weiran Wang, Canyi Lu:
Projection onto the capped simplex. CoRR abs/1503.01002 (2015) - [i10]Hao Tang, Weiran Wang, Kevin Gimpel, Karen Livescu:
Discriminative Segmental Cascades for Feature-Rich Phone Recognition. CoRR abs/1507.06073 (2015) - [i9]Herman Kamper, Weiran Wang, Karen Livescu:
Deep convolutional acoustic word embeddings using word-pair side information. CoRR abs/1510.01032 (2015) - [i8]Weiran Wang, Raman Arora, Karen Livescu, Nathan Srebro:
Stochastic Optimization for Deep CCA via Nonlinear Orthogonal Iterations. CoRR abs/1510.02054 (2015) - [i7]Tomer Michaeli, Weiran Wang, Karen Livescu:
Nonparametric Canonical Correlation Analysis. CoRR abs/1511.04839 (2015) - 2014
- [i6]Miguel Á. Carreira-Perpiñán, Weiran Wang:
LASS: a simple assignment model with Laplacian smoothing. CoRR abs/1405.5960 (2014) - [i5]Weiran Wang, Miguel Á. Carreira-Perpiñán:
The role of dimensionality reduction in linear classification. CoRR abs/1405.6444 (2014) - [i4]Weiran Wang, Miguel Á. Carreira-Perpiñán:
The Laplacian K-modes algorithm for clustering. CoRR abs/1406.3895 (2014) - 2013
- [i3]Miguel Á. Carreira-Perpiñán, Weiran Wang:
The K-modes algorithm for clustering. CoRR abs/1304.6478 (2013) - [i2]Weiran Wang, Miguel Á. Carreira-Perpiñán:
Projection onto the probability simplex: An efficient algorithm with a simple proof, and an application. CoRR abs/1309.1541 (2013) - 2012
- [i1]Miguel Á. Carreira-Perpiñán, Weiran Wang:
Distributed optimization of deeply nested systems. CoRR abs/1212.5921 (2012)
Coauthor Index
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