Weiran Wang

Orcid: 0009-0000-0843-707X

According to our database1, Weiran Wang authored at least 89 papers between 2010 and 2024.

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Bibliography

2024
Accurate Throughput Prediction for Improving QoE in Mobile Adaptive Streaming.
IEEE Trans. Mob. Comput., May, 2024

PixRevive: Latent Feature Diffusion Model for Compressed Video Quality Enhancement.
Sensors, March, 2024

Extreme Encoder Output Frame Rate Reduction: Improving Computational Latencies of Large End-to-End Models.
CoRR, 2024

2023
USM-Lite: Quantization and Sparsity Aware Fine-tuning for Speech Recognition with Universal Speech Models.
CoRR, 2023

Contextual Biasing with the Knuth-Morris-Pratt Matching Algorithm.
CoRR, 2023

Massive End-to-end Models for Short Search Queries.
CoRR, 2023

Augmenting conformers with structured state space models for online speech recognition.
CoRR, 2023

Towards Word-Level End-to-End Neural Speaker Diarization with Auxiliary Network.
CoRR, 2023

The Rise and Potential of Large Language Model Based Agents: A Survey.
CoRR, 2023

Text Injection for Capitalization and Turn-Taking Prediction in Speech Models.
CoRR, 2023

Practical Conformer: Optimizing size, speed and flops of Conformer for on-Device and cloud ASR.
CoRR, 2023

Multi-Output RNN-T Joint Networks for Multi-Task Learning of ASR and Auxiliary Tasks.
Proceedings of the IEEE International Conference on Acoustics, 2023

JEIT: Joint End-to-End Model and Internal Language Model Training for Speech Recognition.
Proceedings of the IEEE International Conference on Acoustics, 2023

Contextual Spelling Correction with Large Language Models.
Proceedings of the IEEE Automatic Speech Recognition and Understanding Workshop, 2023

Efficient Cascaded Streaming ASR System Via Frame Rate Reduction.
Proceedings of the IEEE Automatic Speech Recognition and Understanding Workshop, 2023

2022
Numerical Investigation on the Symmetric Breakup of Bubble within a Heated Microfluidic Y-Junction.
Symmetry, 2022

High-Quality Surface-Based 3D Reconstruction Using 2.5D Maps.
Proceedings of the 2022 IEEE Conference on Virtual Reality and 3D User Interfaces Abstracts and Workshops, 2022

JOIST: A Joint Speech and Text Streaming Model for ASR.
Proceedings of the IEEE Spoken Language Technology Workshop, 2022

Reconstructing 3D Contour Models of General Scenes from RGB-D Sequences.
Proceedings of the MultiMedia Modeling - 28th International Conference, 2022

Streaming Align-Refine for Non-autoregressive Deliberation.
Proceedings of the Interspeech 2022, 2022

Improving Rare Word Recognition with LM-aware MWER Training.
Proceedings of the Interspeech 2022, 2022

Improving Deliberation by Text-Only and Semi-Supervised Training.
Proceedings of the Interspeech 2022, 2022

A Unified Cascaded Encoder ASR Model for Dynamic Model Sizes.
Proceedings of the Interspeech 2022, 2022

Lumos: towards Better Video Streaming QoE through Accurate Throughput Prediction.
Proceedings of the IEEE INFOCOM 2022, 2022

Understanding Latent Correlation-Based Multiview Learning and Self-Supervision: An Identifiability Perspective.
Proceedings of the Tenth International Conference on Learning Representations, 2022

Deliberation of Streaming RNN-Transducer by Non-Autoregressive Decoding.
Proceedings of the IEEE International Conference on Acoustics, 2022


NTIRE 2022 Challenge on Efficient Super-Resolution: Methods and Results.
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition Workshops, 2022

Energy-Efficient Communication Based on Multi-RIS and Sleep Strategy in Electric IoT.
Proceedings of the 9th IEEE International Conference on Cyber Security and Cloud Computing, 2022

2021
Latent Correlation-Based Multiview Learning and Self-Supervision: A Unifying Perspective.
CoRR, 2021

Contrastively Disentangled Sequential Variational Autoencoder.
Proceedings of the Advances in Neural Information Processing Systems 34: Annual Conference on Neural Information Processing Systems 2021, 2021

Joint User Association and Resource Allocation for MmWave and THz Coexistence Networks.
Proceedings of the 2021 IEEE Intl Conf on Parallel & Distributed Processing with Applications, Big Data & Cloud Computing, Sustainable Computing & Communications, Social Computing & Networking (ISPA/BDCloud/SocialCom/SustainCom), New York City, NY, USA, September 30, 2021

Path Planning of Unmanned Surface Vehicle Based on A* Algorithm Optimization Considering the Influence of Risk Factors.
Proceedings of the 4th IEEE International Conference on Industrial Cyber-Physical Systems, 2021

Representation Learning for Sequence Data with Deep Autoencoding Predictive Components.
Proceedings of the 9th International Conference on Learning Representations, 2021

2020
Data Techniques For Online End-to-end Speech Recognition.
CoRR, 2020

Acoustic Scene Analysis with Multi-Head Attention Networks.
Proceedings of the Interspeech 2020, 2020

An Investigation of Phone-Based Subword Units for End-to-End Speech Recognition.
Proceedings of the Interspeech 2020, 2020

Semi-Supervised ASR by End-to-End Self-Training.
Proceedings of the Interspeech 2020, 2020

Unsupervised Pre-Training of Bidirectional Speech Encoders via Masked Reconstruction.
Proceedings of the 2020 IEEE International Conference on Acoustics, 2020

Raw Waveform Based End-to-end Deep Convolutional Network for Spatial Localization of Multiple Acoustic Sources.
Proceedings of the 2020 IEEE International Conference on Acoustics, 2020

A Comparison of Pooling Methods on LSTM Models for Rare Acoustic Event Classification.
Proceedings of the 2020 IEEE International Conference on Acoustics, 2020

2019
Stochastic Canonical Correlation Analysis.
J. Mach. Learn. Res., 2019

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

The Faster Detection and Recognition of Traffic Signs Based on CNN.
Proceedings of the 14th IEEE International Conference on Intelligent Systems and Knowledge Engineering, 2019

Stochastic Nonconvex Optimization with Large Minibatches.
Proceedings of the Algorithmic Learning Theory, 2019

Multimodal and Multi-view Models for Emotion Recognition.
Proceedings of the 57th Conference of the Association for Computational Linguistics, 2019

2018
Distributed Stochastic Multi-Task Learning with Graph Regularization.
CoRR, 2018

A Simple Model for Detection of Rare Sound Events.
Proceedings of the Interspeech 2018, 2018

R-CRNN: Region-based Convolutional Recurrent Neural Network for Audio Event Detection.
Proceedings of the Interspeech 2018, 2018

A novel stock evaluation index based on public opinion analysis.
Proceedings of the 2018 International Conference on Identification, 2018

Acoustic Feature Learning Using Cross-Domain Articulatory Measurements.
Proceedings of the 2018 IEEE International Conference on Acoustics, 2018

Efficient coordinate-wise leading eigenvector computation.
Proceedings of the Algorithmic Learning Theory, 2018

2017
Lexicon-free fingerspelling recognition from video: Data, models, and signer adaptation.
Comput. Speech Lang., 2017

Acoustic Feature Learning via Deep Variational Canonical Correlation Analysis.
Proceedings of the Interspeech 2017, 2017

Multi-view Recurrent Neural Acoustic Word Embeddings.
Proceedings of the 5th International Conference on Learning Representations, 2017

Memory and Communication Efficient Distributed Stochastic Optimization with Minibatch Prox.
Proceedings of the 30th Conference on Learning Theory, 2017

2016
Globally Convergent Stochastic Optimization for Canonical Correlation Analysis.
CoRR, 2016

Deep Variational Canonical Correlation Analysis.
CoRR, 2016

Large-Scale Approximate Kernel Canonical Correlation Analysis.
Proceedings of the 4th International Conference on Learning Representations, 2016

On Deep Multi-View Representation Learning: Objectives and Optimization.
CoRR, 2016

On Column Selection in Approximate Kernel Canonical Correlation Analysis.
CoRR, 2016

Network Inference by Learned Node-Specific Degree Prior.
CoRR, 2016

End-to-end training approaches for discriminative segmental models.
Proceedings of the 2016 IEEE Spoken Language Technology Workshop, 2016

Efficient Globally Convergent Stochastic Optimization for Canonical Correlation Analysis.
Proceedings of the Advances in Neural Information Processing Systems 29: Annual Conference on Neural Information Processing Systems 2016, 2016

Triphone State-Tying via Deep Canonical Correlation Analysis.
Proceedings of the Interspeech 2016, 2016

Efficient Segmental Cascades for Speech Recognition.
Proceedings of the Interspeech 2016, 2016

Nonparametric Canonical Correlation Analysis.
Proceedings of the 33nd International Conference on Machine Learning, 2016

Deep convolutional acoustic word embeddings using word-pair side information.
Proceedings of the 2016 IEEE International Conference on Acoustics, 2016

Signer-independent fingerspelling recognition with deep neural network adaptation.
Proceedings of the 2016 IEEE International Conference on Acoustics, 2016

2015
Projection onto the capped simplex.
CoRR, 2015

An O(n log n) projection operator for weighted ℓ<sub>1</sub>-norm regularization with sum constraint.
CoRR, 2015

Deep Multilingual Correlation for Improved Word Embeddings.
Proceedings of the NAACL HLT 2015, The 2015 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies, Denver, Colorado, USA, May 31, 2015

On Deep Multi-View Representation Learning.
Proceedings of the 32nd International Conference on Machine Learning, 2015

Unsupervised learning of acoustic features via deep canonical correlation analysis.
Proceedings of the 2015 IEEE International Conference on Acoustics, 2015

Discriminative segmental cascades for feature-rich phone recognition.
Proceedings of the 2015 IEEE Workshop on Automatic Speech Recognition and Understanding, 2015

Stochastic optimization for deep CCA via nonlinear orthogonal iterations.
Proceedings of the 53rd Annual Allerton Conference on Communication, 2015

2014
The Laplacian K-modes algorithm for clustering.
CoRR, 2014

The role of dimensionality reduction in linear classification.
CoRR, 2014

Reconstruction of articulatory measurements with smoothed low-rank matrix completion.
Proceedings of the 2014 IEEE Spoken Language Technology Workshop, 2014

Distributed optimization of deeply nested systems.
Proceedings of the Seventeenth International Conference on Artificial Intelligence and Statistics, 2014

The Role of Dimensionality Reduction in Classification.
Proceedings of the Twenty-Eighth AAAI Conference on Artificial Intelligence, 2014

LASS: A Simple Assignment Model with Laplacian Smoothing.
Proceedings of the Twenty-Eighth AAAI Conference on Artificial Intelligence, 2014

2013
Mean-shift algorithms for manifold denoising, matrix completion and clustering.
PhD thesis, 2013

The K-modes algorithm for clustering
CoRR, 2013

Projection onto the probability simplex: An efficient algorithm with a simple proof, and an application.
CoRR, 2013

2012
Nonlinear low-dimensional regression using auxiliary coordinates.
Proceedings of the Fifteenth International Conference on Artificial Intelligence and Statistics, 2012

2011
Performance Measurement of Service Oriented Enterprise: An EVA-Based Approach.
J. Comput., 2011

A Denoising View of Matrix Completion.
Proceedings of the Advances in Neural Information Processing Systems 24: 25th Annual Conference on Neural Information Processing Systems 2011. Proceedings of a meeting held 12-14 December 2011, 2011

2010
Manifold blurring mean shift algorithms for manifold denoising.
Proceedings of the Twenty-Third IEEE Conference on Computer Vision and Pattern Recognition, 2010


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