Manifold blurring mean shift algorithms for manifold denoising. - Weiran Wang; Miguel Á. Carreira-Perpiñán (CVPR, 2010)

A Denoising View of Matrix Completion. - Weiran Wang; Miguel Á. Carreira-Perpiñán; Zhengdong Lu (NIPS, 2011)

Performance Measurement of Service Oriented Enterprise: An EVA-Based Approach. - Weiran Wang; Yushun Fan (J. Comput., 2011)

Nonlinear low-dimensional regression using auxiliary coordinates. - Weiran Wang; Miguel Á. Carreira-Perpiñán (AISTATS, 2012)

Projection onto the probability simplex: An efficient algorithm with a simple proof, and an application. - Weiran Wang; Miguel Á. Carreira-Perpiñán (CoRR, 2013)

The K-modes algorithm for clustering - Miguel Á. Carreira-Perpiñán; Weiran Wang (CoRR, 2013)

Mean-shift algorithms for manifold denoising, matrix completion and clustering. - Weiran Wang (2013)

LASS: A Simple Assignment Model with Laplacian Smoothing. - Miguel Á. Carreira-Perpiñán; Weiran Wang (AAAI, 2014)

The Role of Dimensionality Reduction in Classification. - Weiran Wang; Miguel Á. Carreira-Perpiñán (AAAI, 2014)

Distributed optimization of deeply nested systems. - Miguel Á. Carreira-Perpiñán; Weiran Wang (AISTATS, 2014)

Reconstruction of articulatory measurements with smoothed low-rank matrix completion. - Weiran Wang; Raman Arora; Karen Livescu (SLT, 2014)

The role of dimensionality reduction in linear classification. - Weiran Wang; Miguel Á. Carreira-Perpiñán (CoRR, 2014)

The Laplacian K-modes algorithm for clustering. - Weiran Wang; Miguel Á. Carreira-Perpiñán (CoRR, 2014)

Stochastic optimization for deep CCA via nonlinear orthogonal iterations. - Weiran Wang; Raman Arora; Karen Livescu; Nathan Srebro (Allerton, 2015)

Discriminative segmental cascades for feature-rich phone recognition. - Hao Tang 002; Weiran Wang; Kevin Gimpel; Karen Livescu (ASRU, 2015)

Unsupervised learning of acoustic features via deep canonical correlation analysis. - Weiran Wang; Raman Arora; Karen Livescu; Jeff A. Bilmes (ICASSP, 2015)

On Deep Multi-View Representation Learning. - Weiran Wang; Raman Arora; Karen Livescu; Jeff A. Bilmes (ICML, 2015)

Deep Multilingual Correlation for Improved Word Embeddings. - Ang Lu; Weiran Wang; Mohit Bansal; Kevin Gimpel; Karen Livescu (HLT-NAACL, 2015)

An O(n log n) projection operator for weighted ℓ1-norm regularization with sum constraint. - Weiran Wang (CoRR, 2015)

Projection onto the capped simplex. - Weiran Wang; Canyi Lu (CoRR, 2015)

Signer-independent fingerspelling recognition with deep neural network adaptation. - Taehwan Kim 003; Weiran Wang; Hao Tang 002; Karen Livescu (ICASSP, 2016)

Deep convolutional acoustic word embeddings using word-pair side information. - Herman Kamper; Weiran Wang; Karen Livescu (ICASSP, 2016)

Nonparametric Canonical Correlation Analysis. - Tomer Michaeli; Weiran Wang; Karen Livescu (ICML, 2016)

Efficient Segmental Cascades for Speech Recognition. - Hao Tang 002; Weiran Wang; Kevin Gimpel; Karen Livescu (INTERSPEECH, 2016)

Triphone State-Tying via Deep Canonical Correlation Analysis. - Weiran Wang; Hao Tang 002; Karen Livescu (INTERSPEECH, 2016)

Efficient Globally Convergent Stochastic Optimization for Canonical Correlation Analysis. - Weiran Wang; Jialei Wang; Dan Garber; Nati Srebro (NIPS, 2016)

End-to-end training approaches for discriminative segmental models. - Hao Tang 002; Weiran Wang; Kevin Gimpel; Karen Livescu (SLT, 2016)

Network Inference by Learned Node-Specific Degree Prior. - Qingming Tang; Lifu Tu; Weiran Wang; Jinbo Xu (CoRR, 2016)

On Column Selection in Approximate Kernel Canonical Correlation Analysis. - Weiran Wang (CoRR, 2016)

On Deep Multi-View Representation Learning: Objectives and Optimization. - Weiran Wang; Raman Arora; Karen Livescu; Jeff A. Bilmes (CoRR, 2016)

Large-Scale Approximate Kernel Canonical Correlation Analysis. - Weiran Wang; Karen Livescu (ICLR (Poster), 2016)

Deep Variational Canonical Correlation Analysis. - Weiran Wang; Honglak Lee; Karen Livescu (CoRR, 2016)

Globally Convergent Stochastic Optimization for Canonical Correlation Analysis. - Weiran Wang; Jialei Wang; Nathan Srebro (CoRR, 2016)

Memory and Communication Efficient Distributed Stochastic Optimization with Minibatch Prox. - Jialei Wang; Weiran Wang; Nathan Srebro (COLT, 2017)

Multi-view Recurrent Neural Acoustic Word Embeddings. - Wanjia He; Weiran Wang; Karen Livescu (ICLR (Poster), 2017)

Acoustic Feature Learning via Deep Variational Canonical Correlation Analysis. - Qingming Tang; Weiran Wang; Karen Livescu (INTERSPEECH, 2017)

Lexicon-free fingerspelling recognition from video: Data, models, and signer adaptation. - Taehwan Kim 003; Jonathan Keane; Weiran Wang; Hao Tang 002; Jason Riggle; Gregory Shakhnarovich; Diane Brentari; Karen Livescu (Comput. Speech Lang., 2017)

Efficient coordinate-wise leading eigenvector computation. - Jialei Wang; Weiran Wang; Dan Garber; Nathan Srebro (ALT, 2018)

Acoustic Feature Learning Using Cross-Domain Articulatory Measurements. - Qingming Tang; Weiran Wang; Karen Livescu (ICASSP, 2018)

A novel stock evaluation index based on public opinion analysis. - Yin Ni; Zeyu Su; Weiran Wang; Yuhang Ying (IIKI, 2018)

R-CRNN: Region-based Convolutional Recurrent Neural Network for Audio Event Detection. - Chieh-Chi Kao; Weiran Wang; Ming Sun 007; Chao Wang 018 (INTERSPEECH, 2018)

A Simple Model for Detection of Rare Sound Events. - Weiran Wang; Chieh-Chi Kao; Chao Wang 018 (INTERSPEECH, 2018)

Distributed Stochastic Multi-Task Learning with Graph Regularization. - Weiran Wang; Jialei Wang; Mladen Kolar; Nathan Srebro (CoRR, 2018)

Multimodal and Multi-view Models for Emotion Recognition. - Gustavo Aguilar; Viktor Rozgic; Weiran Wang; Chao Wang 018 (ACL (1), 2019)

Stochastic Nonconvex Optimization with Large Minibatches. - Weiran Wang; Nathan Srebro (ALT, 2019)

The Faster Detection and Recognition of Traffic Signs Based on CNN. - Jingyu Wang; Weiran Wang; Anliang Zhou (ISKE, 2019)

Everything old is new again: A multi-view learning approach to learning using privileged information and distillation. - Weiran Wang (CoRR, 2019)

Stochastic Canonical Correlation Analysis. - Chao Gao; Dan Garber; Nathan Srebro; Jialei Wang; Weiran Wang (J. Mach. Learn. Res., 2019)

A Comparison of Pooling Methods on LSTM Models for Rare Acoustic Event Classification. - Chieh-Chi Kao; Ming Sun 007; Weiran Wang; Chao Wang 018 (ICASSP, 2020)

Raw Waveform Based End-to-end Deep Convolutional Network for Spatial Localization of Multiple Acoustic Sources. - Harshavardhan Sundar; Weiran Wang; Ming Sun 007; Chao Wang 018 (ICASSP, 2020)

Unsupervised Pre-Training of Bidirectional Speech Encoders via Masked Reconstruction. - Weiran Wang; Qingming Tang; Karen Livescu (ICASSP, 2020)

Semi-Supervised ASR by End-to-End Self-Training. - Yang Chen; Weiran Wang; Chao Wang 018 (INTERSPEECH, 2020)

An Investigation of Phone-Based Subword Units for End-to-End Speech Recognition. - Weiran Wang; Guangsen Wang; Aadyot Bhatnagar; Yingbo Zhou; Caiming Xiong; Richard Socher (INTERSPEECH, 2020)

Acoustic Scene Analysis with Multi-Head Attention Networks. - Weimin Wang; Weiran Wang; Ming Sun 007; Chao Wang 018 (INTERSPEECH, 2020)

Data Techniques For Online End-to-end Speech Recognition. - Yang Chen; Weiran Wang; I-Fan Chen; Chao Wang 018 (CoRR, 2020)

Representation Learning for Sequence Data with Deep Autoencoding Predictive Components. - Junwen Bai; Weiran Wang; Yingbo Zhou; Caiming Xiong (ICLR, 2021)

Path Planning of Unmanned Surface Vehicle Based on A* Algorithm Optimization Considering the Influence of Risk Factors. - Aogang Wang; Pengfei Zhi; Wanlu Zhu; Haiyang Qiu; Hui Wang; Weiran Wang (ICPS, 2021)

Joint User Association and Resource Allocation for MmWave and THz Coexistence Networks. - Weiran Wang; Jing Wu 016; Ning Li; Ruiliang Song (ISPA/BDCloud/SocialCom/SustainCom, 2021)

Contrastively Disentangled Sequential Variational Autoencoder. - Junwen Bai; Weiran Wang; Carla P. Gomes (NeurIPS, 2021)

Latent Correlation-Based Multiview Learning and Self-Supervision: A Unifying Perspective. - Qi Lyu; Xiao Fu 001; Weiran Wang; Songtao Lu (CoRR, 2021)

Energy-Efficient Communication Based on Multi-RIS and Sleep Strategy in Electric IoT. - Xian Luo; Weiran Wang; Dai Zhang; Shengwei Wang; Xiang Li (CSCloud/EdgeCom, 2022)

NTIRE 2022 Challenge on Efficient Super-Resolution: Methods and Results. - Yawei Li 001; Kai Zhang 008; Radu Timofte; Luc Van Gool; Fangyuan Kong; Mingxi Li; Songwei Liu; Zongcai Du; Ding Liu 001; Chenhui Zhou; Jingyi Chen; Qingrui Han; et al. (CVPR Workshops, 2022)

Improving The Latency And Quality Of Cascaded Encoders. - Tara N. Sainath; Yanzhang He; Arun Narayanan; Rami Botros; Weiran Wang; David Qiu; Chung-Cheng Chiu; Rohit Prabhavalkar; Alexander Gruenstein; Anmol Gulati; Bo Li 028; David Rybach; et al. (ICASSP, 2022)

Deliberation of Streaming RNN-Transducer by Non-Autoregressive Decoding. - Weiran Wang; Ke Hu; Tara N. Sainath (ICASSP, 2022)

Understanding Latent Correlation-Based Multiview Learning and Self-Supervision: An Identifiability Perspective. - Qi Lyu; Xiao Fu 001; Weiran Wang; Songtao Lu (ICLR, 2022)

Lumos: towards Better Video Streaming QoE through Accurate Throughput Prediction. - Gerui Lv; Qinghua Wu 004; Weiran Wang; Zhenyu Li 001; Gaogang Xie (INFOCOM, 2022)

A Unified Cascaded Encoder ASR Model for Dynamic Model Sizes. - Shaojin Ding; Weiran Wang; Ding Zhao; Tara N. Sainath; Yanzhang He; Robert David; Rami Botros; Xin Wang 016; Rina Panigrahy; Qiao Liang 001; Dongseong Hwang; Ian McGraw; et al. (INTERSPEECH, 2022)

Improving Deliberation by Text-Only and Semi-Supervised Training. - Ke Hu; Tara N. Sainath; Yanzhang He; Rohit Prabhavalkar; Trevor Strohman; Sepand Mavandadi; Weiran Wang (INTERSPEECH, 2022)

Improving Rare Word Recognition with LM-aware MWER Training. - 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; et al. (INTERSPEECH, 2022)

Streaming Align-Refine for Non-autoregressive Deliberation. - Weiran Wang; Ke Hu; Tara N. Sainath (INTERSPEECH, 2022)

Reconstructing 3D Contour Models of General Scenes from RGB-D Sequences. - Weiran Wang; Huijun Di; Lingxiao Song (MMM (2), 2022)

JOIST: A Joint Speech and Text Streaming Model for ASR. - Tara N. Sainath; Rohit Prabhavalkar; Ankur Bapna; Yu Zhang 033; Zhouyuan Huo; Zhehuai Chen; Bo Li 028; Weiran Wang; Trevor Strohman (SLT, 2022)

High-Quality Surface-Based 3D Reconstruction Using 2.5D Maps. - Lingxiao Song; Xiao Yu; Huijun Di; Weiran Wang (VR Workshops, 2022)

Numerical Investigation on the Symmetric Breakup of Bubble within a Heated Microfluidic Y-Junction. - Jingbo Chen; Wen Du; Bo Kong; Zhiguo Wang; Jun Cao; Weiran Wang; Zhe Yan (Symmetry, 2022)

Efficient Cascaded Streaming ASR System Via Frame Rate Reduction. - Xingyu Cai; David Qiu; Shaojin Ding; Dongseong Hwang; Weiran Wang; Antoine Bruguier; Rohit Prabhavalkar; Tara N. Sainath; Yanzhang He (ASRU, 2023)

Contextual Spelling Correction with Large Language Models. - 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 (ASRU, 2023)

JEIT: Joint End-to-End Model and Internal Language Model Training for Speech Recognition. - Zhong Meng; Weiran Wang; Rohit Prabhavalkar; Tara N. Sainath; Tongzhou Chen; Ehsan Variani; Yu Zhang 033; Bo Li 028; Andrew Rosenberg; Bhuvana Ramabhadran (ICASSP, 2023)

Multi-Output RNN-T Joint Networks for Multi-Task Learning of ASR and Auxiliary Tasks. - Weiran Wang; Ding Zhao; Shaojin Ding; Hao Zhang 010; Shuo-Yiin Chang; David Rybach; Tara N. Sainath; Yanzhang He; Ian McGraw; Shankar Kumar (ICASSP, 2023)

Text Injection for Capitalization and Turn-Taking Prediction in Speech Models. - Shaan Bijwadia; Shuo-Yiin Chang; Weiran Wang; Zhong Meng; Hao Zhang (INTERSPEECH, 2023)

Practical Conformer: Optimizing size, speed and flops of Conformer for on-Device and cloud ASR. - Rami Botros; Anmol Gulati; Tara N. Sainath; Krzysztof Choromanski; Ruoming Pang; Trevor Strohman; Weiran Wang; Jiahui Yu (CoRR, 2023)

Text Injection for Capitalization and Turn-Taking Prediction in Speech Models. - Shaan Bijwadia; Shuo-Yiin Chang; Weiran Wang; Zhong Meng; Hao Zhang 010; Tara N. Sainath (CoRR, 2023)

The Rise and Potential of Large Language Model Based Agents: A Survey. - Zhiheng Xi; Wenxiang Chen; Xin Guo; Wei He 024; Yiwen Ding; Boyang Hong; Ming Zhang 030; Junzhe Wang; Senjie Jin; Enyu Zhou; Rui Zheng; Xiaoran Fan; et al. (CoRR, 2023)

Towards Word-Level End-to-End Neural Speaker Diarization with Auxiliary Network. - Yiling Huang; Weiran Wang; Guanlong Zhao; Hank Liao; Wei Xia; Quan Wang (CoRR, 2023)

Augmenting conformers with structured state space models for online speech recognition. - Haozhe Shan; Albert Gu; Zhong Meng; Weiran Wang; Krzysztof Choromanski; Tara N. Sainath (CoRR, 2023)

Massive End-to-end Models for Short Search Queries. - Weiran Wang; Rohit Prabhavalkar; Dongseong Hwang; Qiujia Li; Khe Chai Sim; Bo Li 028; James Qin; Xingyu Cai; Adam Stooke; Zhong Meng; CJ Zheng; Yanzhang He; et al. (CoRR, 2023)

Contextual Biasing with the Knuth-Morris-Pratt Matching Algorithm. - 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; et al. (CoRR, 2023)

USM-Lite: Quantization and Sparsity Aware Fine-Tuning for Speech Recognition with Universal Speech Models. - Shaojin Ding; David Qiu; David Rim; Yanzhang He; Oleg Rybakov; Bo Li 028; Rohit Prabhavalkar; Weiran Wang; Tara N. Sainath; Zhonglin Han; Jian Li; Amir Yazdanbakhsh; et al. (ICASSP, 2024)

Extreme Encoder Output Frame Rate Reduction: Improving Computational Latencies of Large End-to-End Models. - Rohit Prabhavalkar; Zhong Meng; Weiran Wang; Adam Stooke; Xingyu Cai; Yanzhang He; Arun Narayanan; Dongseong Hwang; Tara N. Sainath; Pedro J. Moreno 001 (ICASSP, 2024)

Augmenting Conformers With Structured State-Space Sequence Models For Online Speech Recognition. - Haozhe Shan; Albert Gu; Zhong Meng; Weiran Wang; Krzysztof Choromanski; Tara N. Sainath (ICASSP, 2024)

On the Success and Limitations of Auxiliary Network Based Word-Level End-to-End Neural Speaker Diarization. - Yiling Huang; Weiran Wang; Guanlong Zhao; Hank Liao; Wei Xia; Quan Wang (INTERSPEECH, 2024)

AdaRA: Adaptive Rank Allocation of Residual Adapters for Speech Foundation Model. - Zhouyuan Huo; Dongseong Hwang; Gan Song; Khe Chai Sim; Weiran Wang (INTERSPEECH, 2024)

Text Injection for Neural Contextual Biasing. - Zhong Meng; Zelin Wu; Rohit Prabhavalkar; Cal Peyser; Weiran Wang; Nanxin Chen; Tara N. Sainath; Bhuvana Ramabhadran (INTERSPEECH, 2024)

Contextual Biasing with the Knuth-Morris-Pratt Matching Algorithm. - 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; et al. (INTERSPEECH, 2024)

Massive End-to-end Speech Recognition Models with Time Reduction. - Weiran Wang; Rohit Prabhavalkar; Haozhe Shan; Zhong Meng; Dongseong Hwang; Qiujia Li; Khe Chai Sim; Bo Li 028; James Qin; Xingyu Cai; Adam Stooke; Chengjian Zheng; et al. (NAACL-HLT, 2024)

Deferred NAM: Low-latency Top-K Context Injection via Deferred Context Encoding for Non-Streaming ASR. - Zelin Wu; Gan Song; Christopher Li; Pat Rondon; Zhong Meng; Xavier Velez; Weiran Wang; Diamantino Caseiro; Golan Pundak; Tsendsuren Munkhdalai; Angad Chandorkar; Rohit Prabhavalkar (NAACL (Industry Track), 2024)

TransformerFAM: Feedback attention is working memory. - Dongseong Hwang; Weiran Wang; Zhuoyuan Huo; Khe Chai Sim; Pedro Moreno Mengibar (CoRR, 2024)

PixRevive: Latent Feature Diffusion Model for Compressed Video Quality Enhancement. - Weiran Wang; Ming-e Jing; Yibo Fan; Wei Weng 003 (Sensors, 2024)

Accurate Throughput Prediction for Improving QoE in Mobile Adaptive Streaming. - Gerui Lv; Qinghua Wu 004; Qingyue Tan; Weiran Wang; Zhenyu Li 001; Gaogang Xie (IEEE Trans. Mob. Comput., 2024)

FactorGCL: A Hypergraph-Based Factor Model with Temporal Residual Contrastive Learning for Stock Returns Prediction. - Yitong Duan; Weiran Wang; Jian Li (AAAI, 2025)

RivuletMLP: An MLP-based Architecture for Efficient Compressed Video Quality Enhancement. - Gang He 002; Weiran Wang; Guancheng Quan; Shihao Wang; Dajiang Zhou; Yunsong Li 001 (CVPR, 2025)

The rise and potential of large language model based agents: a survey. - Zhiheng Xi; Wenxiang Chen; Xin Guo; Wei He 024; Yiwen Ding; Boyang Hong; Ming Zhang 030; Junzhe Wang; Senjie Jin; Enyu Zhou; Rui Zheng; Xiaoran Fan; et al. (Sci. China Inf. Sci., 2025)

A Novel SNR Enhancement Method for Complex Multimode Signals in ϕ-OTDR Systems Using SVMD and Shifting Window Pearson Correlation Coefficient. - Hao Wu 092; Siqi Jing; Chuandong Jiang; Zhenjun He; Ranhao Zhang; Weiran Wang; Zhiqin Liao; Luyao Meng; Fudong Zhang; Liang Wang (IEEE Trans. Instrum. Meas., 2025)

Machine-assisted writing evaluation: Exploring pre-trained language models in analyzing argumentative moves. - Wenjuan Qin; Weiran Wang; Yuming Yang; Tao Gui (CoRR, 2025)

Adaptive UE Handover Management with MAR-Aided Multivariate DQN in Ultra-Dense Networks. - Weiran Wang; Heng Yang; Shanshan Li; Xue Liu; Zhaojun Wan (J. Netw. Syst. Manag., 2025)

A Semi-supervised Generative Model for Incomplete Multi-view Data Integration with Missing Labels. - Yiyang Shen; Weiran Wang (CoRR, 2025)

Adaptive PCI Allocation in Heterogeneous Networks: A DRL-Driven Framework With Hash Table, FAGA, and Guiding Policies. - Jiani Li; Heng Yang; Shanshan Li; Zhenyu Liu; Weiran Wang (IEEE Trans. Cogn. Commun. Netw., 2025)