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2020 – today
- 2021
[c40]Junwen Bai, Weiran Wang, Yingbo Zhou, Caiming Xiong:
Representation Learning for Sequence Data with Deep Autoencoding Predictive Components. ICLR 2021- [c39]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 - [c38]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 - [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
- [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 - [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)
2010 – 2019
- 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) - [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 - [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
- [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 - [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
- [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) - [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 - [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
- [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 - [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
- [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 - [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
- [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 - [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
- [b1]Weiran Wang:
Mean-shift algorithms for manifold denoising, matrix completion and clustering. University of California, Merced, USA, 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
- [c3]Weiran Wang, Miguel Á. Carreira-Perpiñán:
Nonlinear low-dimensional regression using auxiliary coordinates. AISTATS 2012: 1295-1304 - [i1]Miguel Á. Carreira-Perpiñán, Weiran Wang:
Distributed optimization of deeply nested systems. CoRR abs/1212.5921 (2012) - 2011
- [j1]Weiran Wang, Yushun Fan:
Performance Measurement of Service Oriented Enterprise: An EVA-Based Approach. J. Comput. 6(5): 1006-1015 (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
Coauthor Index
aka: Nati Srebro
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