Weiran Wang - RankMe

142 papers A* 13A 19B 2C 4Misc 15Journal 70Unranked 18

Year	Rank	Type	Title / Venue / Authors
2026	A*	`conf`	RealRep: Generalized SDR-to-HDR Conversion via Attribute-Disentangled Representation Learning. AAAI Li Xu, Siqi Wang, Kepeng Xu, Lin Zhang, Gang He, Weiran Wang, Yu-Wing Tai
2025	C	`conf`	A Neural Model for Contextual Biasing Score Learning and Filtering. ASRU Wanting Huang, Weiran Wang
2025	J	`jnl`	A Neural Model for Contextual Biasing Score Learning and Filtering. CoRR Wanting Huang, Weiran Wang
2025	J	`jnl`	A Semi-supervised Generative Model for Incomplete Multi-view Data Integration with Missing Labels. CoRR Yiyang Shen, Weiran Wang
2025	J	`jnl`	Adaptive UE Handover Management with MAR-Aided Multivariate DQN in Ultra-Dense Networks. J. Netw. Syst. Manag. Weiran Wang, Heng Yang, Shanshan Li, Xue Liu, Zhaojun Wan
2025	J	`jnl`	Disentanglement of Variations with Multimodal Generative Modeling. CoRR Yijie Zhang, Yiyang Shen, Weiran Wang
2025	A*	`conf`	FactorGCL: A Hypergraph-Based Factor Model with Temporal Residual Contrastive Learning for Stock Returns Prediction. AAAI Yitong Duan, Weiran Wang, Jian Li
2025	J	`jnl`	FactorGCL: A Hypergraph-Based Factor Model with Temporal Residual Contrastive Learning for Stock Returns Prediction. CoRR Yitong Duan, Weiran Wang, Jian Li
2025	J	`jnl`	Improving Audio Event Recognition with Consistency Regularization. CoRR Shanmuka Sadhu, Weiran Wang
2025	A*	`conf`	RivuletMLP: An MLP-based Architecture for Efficient Compressed Video Quality Enhancement. CVPR Gang He, Weiran Wang, Guancheng Quan, Shihao Wang, Dajiang Zhou, Yunsong Li
2024	A	`conf`	AdaRA: Adaptive Rank Allocation of Residual Adapters for Speech Foundation Model. INTERSPEECH Zhouyuan Huo, Dongseong Hwang, Gan Song, Khe Chai Sim, Weiran Wang
2024	Misc	`conf`	Augmenting Conformers With Structured State-Space Sequence Models For Online Speech Recognition. ICASSP Haozhe Shan, Albert Gu, Zhong Meng, Weiran Wang, Krzysztof Choromanski, Tara N. Sainath
2024	A	`conf`	Contextual Biasing with the Knuth-Morris-Pratt Matching Algorithm. INTERSPEECH Weiran Wang, Zelin Wu, Diamantino Caseiro, Tsendsuren Munkhdalai, Khe Chai Sim, Pat Rondon, Golan Pundak, Gan Song, Rohit Prabhavalkar, Zhong Meng, Ding Zhao, Tara Sainath, Yanzhang He, Pedro Moreno Mengibar
2024	—	`conf`	Deferred NAM: Low-latency Top-K Context Injection via Deferred Context Encoding for Non-Streaming ASR. NAACL (Industry Track) Zelin Wu, Gan Song, Christopher Li, Pat Rondon, Zhong Meng, Xavier Velez, Weiran Wang, Diamantino Caseiro, Golan Pundak, Tsendsuren Munkhdalai, Angad Chandorkar, Rohit Prabhavalkar
2024	J	`jnl`	Deferred NAM: Low-latency Top-K Context Injection via Deferred Context Encoding for Non-Streaming ASR. CoRR Zelin Wu, Gan Song, Christopher Li, Pat Rondon, Zhong Meng, Xavier Velez, Weiran Wang, Diamantino Caseiro, Golan Pundak, Tsendsuren Munkhdalai, Angad Chandorkar, Rohit Prabhavalkar
2024	Misc	`conf`	Extreme Encoder Output Frame Rate Reduction: Improving Computational Latencies of Large End-to-End Models. ICASSP Rohit Prabhavalkar, Zhong Meng, Weiran Wang, Adam Stooke, Xingyu Cai, Yanzhang He, Arun Narayanan, Dongseong Hwang, Tara N. Sainath, Pedro J. Moreno
2024	J	`jnl`	Extreme Encoder Output Frame Rate Reduction: Improving Computational Latencies of Large End-to-End Models. CoRR Rohit Prabhavalkar, Zhong Meng, Weiran Wang, Adam Stooke, Xingyu Cai, Yanzhang He, Arun Narayanan, Dongseong Hwang, Tara N. Sainath, Pedro J. Moreno
2024	—	`conf`	Massive End-to-end Speech Recognition Models with Time Reduction. NAACL-HLT 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
2024	A	`conf`	On the Success and Limitations of Auxiliary Network Based Word-Level End-to-End Neural Speaker Diarization. INTERSPEECH Yiling Huang, Weiran Wang, Guanlong Zhao, Hank Liao, Wei Xia, Quan Wang
2024	J	`jnl`	PixRevive: Latent Feature Diffusion Model for Compressed Video Quality Enhancement. Sensors Weiran Wang, Ming-e Jing, Yibo Fan, Wei Weng
2024	A	`conf`	Text Injection for Neural Contextual Biasing. INTERSPEECH Zhong Meng, Zelin Wu, Rohit Prabhavalkar, Cal Peyser, Weiran Wang, Nanxin Chen, Tara N. Sainath, Bhuvana Ramabhadran
2024	J	`jnl`	Text Injection for Neural Contextual Biasing. CoRR Zhong Meng, Zelin Wu, Rohit Prabhavalkar, Cal Peyser, Weiran Wang, Nanxin Chen, Tara N. Sainath, Bhuvana Ramabhadran
2024	J	`jnl`	TransformerFAM: Feedback attention is working memory. CoRR Dongseong Hwang, Weiran Wang, Zhuoyuan Huo, Khe Chai Sim, Pedro Moreno Mengibar
2024	Misc	`conf`	USM-Lite: Quantization and Sparsity Aware Fine-Tuning for Speech Recognition with Universal Speech Models. ICASSP 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
2023	J	`jnl`	Augmenting conformers with structured state space models for online speech recognition. CoRR Haozhe Shan, Albert Gu, Zhong Meng, Weiran Wang, Krzysztof Choromanski, Tara N. Sainath
2023	J	`jnl`	Contextual Biasing with the Knuth-Morris-Pratt Matching Algorithm. CoRR 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
2023	C	`conf`	Contextual Spelling Correction with Large Language Models. ASRU 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
2023	C	`conf`	Efficient Cascaded Streaming ASR System Via Frame Rate Reduction. ASRU Xingyu Cai, David Qiu, Shaojin Ding, Dongseong Hwang, Weiran Wang, Antoine Bruguier, Rohit Prabhavalkar, Tara N. Sainath, Yanzhang He
2023	Misc	`conf`	JEIT: Joint End-to-End Model and Internal Language Model Training for Speech Recognition. ICASSP Zhong Meng, Weiran Wang, Rohit Prabhavalkar, Tara N. Sainath, Tongzhou Chen, Ehsan Variani, Yu Zhang, Bo Li, Andrew Rosenberg, Bhuvana Ramabhadran
2023	J	`jnl`	JEIT: Joint End-to-End Model and Internal Language Model Training for Speech Recognition. CoRR Zhong Meng, Weiran Wang, Rohit Prabhavalkar, Tara N. Sainath, Tongzhou Chen, Ehsan Variani, Yu Zhang, Bo Li, Andrew Rosenberg, Bhuvana Ramabhadran
2023	J	`jnl`	Massive End-to-end Models for Short Search Queries. CoRR 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
2023	Misc	`conf`	Multi-Output RNN-T Joint Networks for Multi-Task Learning of ASR and Auxiliary Tasks. ICASSP Weiran Wang, Ding Zhao, Shaojin Ding, Hao Zhang, Shuo-Yiin Chang, David Rybach, Tara N. Sainath, Yanzhang He, Ian McGraw, Shankar Kumar
2023	J	`jnl`	Practical Conformer: Optimizing size, speed and flops of Conformer for on-Device and cloud ASR. CoRR Rami Botros, Anmol Gulati, Tara N. Sainath, Krzysztof Choromanski, Ruoming Pang, Trevor Strohman, Weiran Wang, Jiahui Yu
2023	A	`conf`	Text Injection for Capitalization and Turn-Taking Prediction in Speech Models. INTERSPEECH Shaan Bijwadia, Shuo-Yiin Chang, Weiran Wang, Zhong Meng, Hao Zhang
2023	J	`jnl`	Text Injection for Capitalization and Turn-Taking Prediction in Speech Models. CoRR Shaan Bijwadia, Shuo-Yiin Chang, Weiran Wang, Zhong Meng, Hao Zhang, Tara N. Sainath
2023	J	`jnl`	Towards Word-Level End-to-End Neural Speaker Diarization with Auxiliary Network. CoRR Yiling Huang, Weiran Wang, Guanlong Zhao, Hank Liao, Wei Xia, Quan Wang
2023	J	`jnl`	USM-Lite: Quantization and Sparsity Aware Fine-tuning for Speech Recognition with Universal Speech Models. CoRR 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
2022	A	`conf`	A Unified Cascaded Encoder ASR Model for Dynamic Model Sizes. INTERSPEECH 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
2022	J	`jnl`	A Unified Cascaded Encoder ASR Model for Dynamic Model Sizes. CoRR 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
2022	Misc	`conf`	Deliberation of Streaming RNN-Transducer by Non-Autoregressive Decoding. ICASSP Weiran Wang, Ke Hu, Tara N. Sainath
2022	—	`conf`	Energy-Efficient Communication Based on Multi-RIS and Sleep Strategy in Electric IoT. CSCloud/EdgeCom Xian Luo, Weiran Wang, Dai Zhang, Shengwei Wang, Xiang Li
2022	—	`conf`	High-Quality Surface-Based 3D Reconstruction Using 2.5D Maps. VR Workshops Lingxiao Song, Xiao Yu, Huijun Di, Weiran Wang
2022	A	`conf`	Improving Deliberation by Text-Only and Semi-Supervised Training. INTERSPEECH Ke Hu, Tara N. Sainath, Yanzhang He, Rohit Prabhavalkar, Trevor Strohman, Sepand Mavandadi, Weiran Wang
2022	J	`jnl`	Improving Deliberation by Text-Only and Semi-Supervised Training. CoRR Ke Hu, Tara N. Sainath, Yanzhang He, Rohit Prabhavalkar, Trevor Strohman, Sepand Mavandadi, Weiran Wang
2022	A	`conf`	Improving Rare Word Recognition with LM-aware MWER Training. INTERSPEECH 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
2022	J	`jnl`	Improving Rare Word Recognition with LM-aware MWER Training. CoRR 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
2022	Misc	`conf`	Improving The Latency And Quality Of Cascaded Encoders. ICASSP 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
2022	J	`jnl`	JOIST: A Joint Speech and Text Streaming Model For ASR. CoRR Tara N. Sainath, Rohit Prabhavalkar, Ankur Bapna, Yu Zhang, Zhouyuan Huo, Zhehuai Chen, Bo Li, Weiran Wang, Trevor Strohman
2022	—	`conf`	JOIST: A Joint Speech and Text Streaming Model for ASR. SLT Tara N. Sainath, Rohit Prabhavalkar, Ankur Bapna, Yu Zhang, Zhouyuan Huo, Zhehuai Chen, Bo Li, Weiran Wang, Trevor Strohman
2022	—	`conf`	NTIRE 2022 Challenge on Efficient Super-Resolution: Methods and Results. CVPR Workshops 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
2022	J	`jnl`	Numerical Investigation on the Symmetric Breakup of Bubble within a Heated Microfluidic Y-Junction. Symmetry Jingbo Chen, Wen Du, Bo Kong, Zhiguo Wang, Jun Cao, Weiran Wang, Zhe Yan
2022	—	`conf`	Reconstructing 3D Contour Models of General Scenes from RGB-D Sequences. MMM (2) Weiran Wang, Huijun Di, Lingxiao Song
2022	A	`conf`	Streaming Align-Refine for Non-autoregressive Deliberation. INTERSPEECH Weiran Wang, Ke Hu, Tara N. Sainath
2022	J	`jnl`	Streaming Align-Refine for Non-autoregressive Deliberation. CoRR Weiran Wang, Ke Hu, Tara N. Sainath
2022	A*	`conf`	Understanding Latent Correlation-Based Multiview Learning and Self-Supervision: An Identifiability Perspective. ICLR Qi Lyu, Xiao Fu, Weiran Wang, Songtao Lu
2021	A*	`conf`	Contrastively Disentangled Sequential Variational Autoencoder. NeurIPS Junwen Bai, Weiran Wang, Carla P. Gomes
2021	J	`jnl`	Contrastively Disentangled Sequential Variational Autoencoder. CoRR Junwen Bai, Weiran Wang, Carla P. Gomes
2021	J	`jnl`	Deliberation of Streaming RNN-Transducer by Non-autoregressive Decoding. CoRR Weiran Wang, Ke Hu, Tara N. Sainath
2021	—	`conf`	Joint User Association and Resource Allocation for MmWave and THz Coexistence Networks. ISPA/BDCloud/SocialCom/SustainCom Weiran Wang, Jing Wu, Ning Li, Ruiliang Song
2021	J	`jnl`	Latent Correlation-Based Multiview Learning and Self-Supervision: A Unifying Perspective. CoRR Qi Lyu, Xiao Fu, Weiran Wang, Songtao Lu
2021	—	`conf`	Path Planning of Unmanned Surface Vehicle Based on A* Algorithm Optimization Considering the Influence of Risk Factors. ICPS Aogang Wang, Pengfei Zhi, Wanlu Zhu, Haiyang Qiu, Hui Wang, Weiran Wang
2021	A*	`conf`	Representation Learning for Sequence Data with Deep Autoencoding Predictive Components. ICLR Junwen Bai, Weiran Wang, Yingbo Zhou, Caiming Xiong
2020	Misc	`conf`	A Comparison of Pooling Methods on LSTM Models for Rare Acoustic Event Classification. ICASSP Chieh-Chi Kao, Ming Sun, Weiran Wang, Chao Wang
2020	J	`jnl`	A Comparison of Pooling Methods on LSTM Models for Rare Acoustic Event Classification. CoRR Chieh-Chi Kao, Ming Sun, Weiran Wang, Chao Wang
2020	A	`conf`	Acoustic Scene Analysis with Multi-Head Attention Networks. INTERSPEECH Weimin Wang, Weiran Wang, Ming Sun, Chao Wang
2020	A	`conf`	An Investigation of Phone-Based Subword Units for End-to-End Speech Recognition. INTERSPEECH Weiran Wang, Guangsen Wang, Aadyot Bhatnagar, Yingbo Zhou, Caiming Xiong, Richard Socher
2020	J	`jnl`	Data Techniques For Online End-to-end Speech Recognition. CoRR Yang Chen, Weiran Wang, I-Fan Chen, Chao Wang
2020	Misc	`conf`	Raw Waveform Based End-to-end Deep Convolutional Network for Spatial Localization of Multiple Acoustic Sources. ICASSP Harshavardhan Sundar, Weiran Wang, Ming Sun, Chao Wang
2020	J	`jnl`	Representation Learning for Sequence Data with Deep Autoencoding Predictive Components. CoRR Junwen Bai, Weiran Wang, Yingbo Zhou, Caiming Xiong
2020	A	`conf`	Semi-Supervised ASR by End-to-End Self-Training. INTERSPEECH Yang Chen, Weiran Wang, Chao Wang
2020	J	`jnl`	Semi-supervised ASR by End-to-end Self-training. CoRR Yang Chen, Weiran Wang, Chao Wang
2020	Misc	`conf`	Unsupervised Pre-Training of Bidirectional Speech Encoders via Masked Reconstruction. ICASSP Weiran Wang, Qingming Tang, Karen Livescu
2020	J	`jnl`	Unsupervised Pre-training of Bidirectional Speech Encoders via Masked Reconstruction. CoRR Weiran Wang, Qingming Tang, Karen Livescu
2019	J	`jnl`	Acoustic scene analysis with multi-head attention networks. CoRR Weimin Wang, Weiran Wang, Ming Sun, Chao Wang
2019	J	`jnl`	Everything old is new again: A multi-view learning approach to learning using privileged information and distillation. CoRR Weiran Wang
2019	—	`conf`	Multimodal and Multi-view Models for Emotion Recognition. ACL (1) Gustavo Aguilar, Viktor Rozgic, Weiran Wang, Chao Wang
2019	J	`jnl`	Multimodal and Multi-view Models for Emotion Recognition. CoRR Gustavo Aguilar, Viktor Rozgic, Weiran Wang, Chao Wang
2019	J	`jnl`	Stochastic Canonical Correlation Analysis. J. Mach. Learn. Res. Chao Gao, Dan Garber, Nathan Srebro, Jialei Wang, Weiran Wang
2019	B	`conf`	Stochastic Nonconvex Optimization with Large Minibatches. ALT Weiran Wang, Nathan Srebro
2019	Misc	`conf`	The Faster Detection and Recognition of Traffic Signs Based on CNN. ISKE Jingyu Wang, Weiran Wang, Anliang Zhou
2018	A	`conf`	A Simple Model for Detection of Rare Sound Events. INTERSPEECH Weiran Wang, Chieh-Chi Kao, Chao Wang
2018	—	`conf`	A novel stock evaluation index based on public opinion analysis. IIKI Yin Ni, Zeyu Su, Weiran Wang, Yuhang Ying
2018	J	`jnl`	A simple model for detection of rare sound events. CoRR Weiran Wang, Chieh-Chi Kao, Chao Wang
2018	Misc	`conf`	Acoustic Feature Learning Using Cross-Domain Articulatory Measurements. ICASSP Qingming Tang, Weiran Wang, Karen Livescu
2018	J	`jnl`	Acoustic feature learning using cross-domain articulatory measurements. CoRR Qingming Tang, Weiran Wang, Karen Livescu
2018	J	`jnl`	Distributed Stochastic Multi-Task Learning with Graph Regularization. CoRR Weiran Wang, Jialei Wang, Mladen Kolar, Nathan Srebro
2018	B	`conf`	Efficient coordinate-wise leading eigenvector computation. ALT Jialei Wang, Weiran Wang, Dan Garber, Nathan Srebro
2018	A	`conf`	R-CRNN: Region-based Convolutional Recurrent Neural Network for Audio Event Detection. INTERSPEECH Chieh-Chi Kao, Weiran Wang, Ming Sun, Chao Wang
2018	J	`jnl`	R-CRNN: Region-based Convolutional Recurrent Neural Network for Audio Event Detection. CoRR Chieh-Chi Kao, Weiran Wang, Ming Sun, Chao Wang
2017	A	`conf`	Acoustic Feature Learning via Deep Variational Canonical Correlation Analysis. INTERSPEECH Qingming Tang, Weiran Wang, Karen Livescu
2017	J	`jnl`	Acoustic Feature Learning via Deep Variational Canonical Correlation Analysis. CoRR Qingming Tang, Weiran Wang, Karen Livescu
2017	J	`jnl`	Efficient coordinate-wise leading eigenvector computation. CoRR Jialei Wang, Weiran Wang, Dan Garber, Nathan Srebro
2017	J	`jnl`	Lexicon-free fingerspelling recognition from video: Data, models, and signer adaptation. Comput. Speech Lang. Taehwan Kim, Jonathan Keane, Weiran Wang, Hao Tang, Jason Riggle, Gregory Shakhnarovich, Diane Brentari, Karen Livescu
2017	A*	`conf`	Memory and Communication Efficient Distributed Stochastic Optimization with Minibatch Prox. COLT Jialei Wang, Weiran Wang, Nathan Srebro
2017	J	`jnl`	Memory and Communication Efficient Distributed Stochastic Optimization with Minibatch Prox. CoRR Jialei Wang, Weiran Wang, Nathan Srebro
2017	—	`conf`	Multi-view Recurrent Neural Acoustic Word Embeddings. ICLR (Poster) Wanjia He, Weiran Wang, Karen Livescu
2017	J	`jnl`	Stochastic Canonical Correlation Analysis. CoRR Chao Gao, Dan Garber, Nathan Srebro, Jialei Wang, Weiran Wang
2017	J	`jnl`	Stochastic Nonconvex Optimization with Large Minibatches. CoRR Weiran Wang, Nathan Srebro
2016	J	`jnl`	Deep Variational Canonical Correlation Analysis. CoRR Weiran Wang, Honglak Lee, Karen Livescu
2016	Misc	`conf`	Deep convolutional acoustic word embeddings using word-pair side information. ICASSP Herman Kamper, Weiran Wang, Karen Livescu
2016	—	`conf`	Efficient Globally Convergent Stochastic Optimization for Canonical Correlation Analysis. NIPS Weiran Wang, Jialei Wang, Dan Garber, Nati Srebro
2016	A	`conf`	Efficient Segmental Cascades for Speech Recognition. INTERSPEECH Hao Tang, Weiran Wang, Kevin Gimpel, Karen Livescu
2016	J	`jnl`	Efficient Segmental Cascades for Speech Recognition. CoRR Hao Tang, Weiran Wang, Kevin Gimpel, Karen Livescu
2016	J	`jnl`	End-to-End Training Approaches for Discriminative Segmental Models. CoRR Hao Tang, Weiran Wang, Kevin Gimpel, Karen Livescu
2016	—	`conf`	End-to-end training approaches for discriminative segmental models. SLT Hao Tang, Weiran Wang, Kevin Gimpel, Karen Livescu
2016	J	`jnl`	Globally Convergent Stochastic Optimization for Canonical Correlation Analysis. CoRR Weiran Wang, Jialei Wang, Nathan Srebro
2016	A*	`conf`	Large-Scale Approximate Kernel Canonical Correlation Analysis. ICLR (Poster) Weiran Wang, Karen Livescu
2016	J	`jnl`	Lexicon-Free Fingerspelling Recognition from Video: Data, Models, and Signer Adaptation. CoRR Taehwan Kim, Jonathan Keane, Weiran Wang, Hao Tang, Jason Riggle, Gregory Shakhnarovich, Diane Brentari, Karen Livescu
2016	J	`jnl`	Multi-view Recurrent Neural Acoustic Word Embeddings. CoRR Wanjia He, Weiran Wang, Karen Livescu
2016	J	`jnl`	Network Inference by Learned Node-Specific Degree Prior. CoRR Qingming Tang, Lifu Tu, Weiran Wang, Jinbo Xu
2016	A*	`conf`	Nonparametric Canonical Correlation Analysis. ICML Tomer Michaeli, Weiran Wang, Karen Livescu
2016	J	`jnl`	On Column Selection in Approximate Kernel Canonical Correlation Analysis. CoRR Weiran Wang
2016	J	`jnl`	On Deep Multi-View Representation Learning: Objectives and Optimization. CoRR Weiran Wang, Raman Arora, Karen Livescu, Jeff A. Bilmes
2016	J	`jnl`	Signer-independent Fingerspelling Recognition with Deep Neural Network Adaptation. CoRR Taehwan Kim, Weiran Wang, Hao Tang, Karen Livescu
2016	Misc	`conf`	Signer-independent fingerspelling recognition with deep neural network adaptation. ICASSP Taehwan Kim, Weiran Wang, Hao Tang, Karen Livescu
2016	A	`conf`	Triphone State-Tying via Deep Canonical Correlation Analysis. INTERSPEECH Weiran Wang, Hao Tang, Karen Livescu
2015	J	`jnl`	An O(n log n) projection operator for weighted ℓ CoRR Weiran Wang
2015	—	`conf`	Deep Multilingual Correlation for Improved Word Embeddings. HLT-NAACL Ang Lu, Weiran Wang, Mohit Bansal, Kevin Gimpel, Karen Livescu
2015	J	`jnl`	Deep convolutional acoustic word embeddings using word-pair side information. CoRR Herman Kamper, Weiran Wang, Karen Livescu
2015	J	`jnl`	Discriminative Segmental Cascades for Feature-Rich Phone Recognition. CoRR Hao Tang, Weiran Wang, Kevin Gimpel, Karen Livescu
2015	C	`conf`	Discriminative segmental cascades for feature-rich phone recognition. ASRU Hao Tang, Weiran Wang, Kevin Gimpel, Karen Livescu
2015	J	`jnl`	Nonparametric Canonical Correlation Analysis. CoRR Tomer Michaeli, Weiran Wang, Karen Livescu
2015	A*	`conf`	On Deep Multi-View Representation Learning. ICML Weiran Wang, Raman Arora, Karen Livescu, Jeff A. Bilmes
2015	J	`jnl`	Projection onto the capped simplex. CoRR Weiran Wang, Canyi Lu
2015	J	`jnl`	Stochastic Optimization for Deep CCA via Nonlinear Orthogonal Iterations. CoRR Weiran Wang, Raman Arora, Karen Livescu, Nathan Srebro
2015	—	`conf`	Stochastic optimization for deep CCA via nonlinear orthogonal iterations. Allerton Weiran Wang, Raman Arora, Karen Livescu, Nathan Srebro
2015	Misc	`conf`	Unsupervised learning of acoustic features via deep canonical correlation analysis. ICASSP Weiran Wang, Raman Arora, Karen Livescu, Jeff A. Bilmes
2014	A	`conf`	Distributed optimization of deeply nested systems. AISTATS Miguel Á. Carreira-Perpiñán, Weiran Wang
2014	A*	`conf`	LASS: A Simple Assignment Model with Laplacian Smoothing. AAAI Miguel Á. Carreira-Perpiñán, Weiran Wang
2014	J	`jnl`	LASS: a simple assignment model with Laplacian smoothing. CoRR Miguel Á. Carreira-Perpiñán, Weiran Wang
2014	—	`conf`	Reconstruction of articulatory measurements with smoothed low-rank matrix completion. SLT Weiran Wang, Raman Arora, Karen Livescu
2014	J	`jnl`	The Laplacian K-modes algorithm for clustering. CoRR Weiran Wang, Miguel Á. Carreira-Perpiñán
2014	A*	`conf`	The Role of Dimensionality Reduction in Classification. AAAI Weiran Wang, Miguel Á. Carreira-Perpiñán
2014	J	`jnl`	The role of dimensionality reduction in linear classification. CoRR Weiran Wang, Miguel Á. Carreira-Perpiñán
2013	—	`—`	Mean-shift algorithms for manifold denoising, matrix completion and clustering. Weiran Wang
2013	J	`jnl`	Projection onto the probability simplex: An efficient algorithm with a simple proof, and an application. CoRR Weiran Wang, Miguel Á. Carreira-Perpiñán
2013	J	`jnl`	The K-modes algorithm for clustering CoRR Miguel Á. Carreira-Perpiñán, Weiran Wang
2012	J	`jnl`	Distributed optimization of deeply nested systems CoRR Miguel Á. Carreira-Perpiñán, Weiran Wang
2012	A	`conf`	Nonlinear low-dimensional regression using auxiliary coordinates. AISTATS Weiran Wang, Miguel Á. Carreira-Perpiñán
2011	—	`conf`	A Denoising View of Matrix Completion. NIPS Weiran Wang, Miguel Á. Carreira-Perpiñán, Zhengdong Lu
2011	J	`jnl`	Performance Measurement of Service Oriented Enterprise: An EVA-Based Approach. J. Comput. Weiran Wang, Yushun Fan
2010	A*	`conf`	Manifold blurring mean shift algorithms for manifold denoising. CVPR Weiran Wang, Miguel Á. Carreira-Perpiñán