Shaojun Wang

Orcid: 0009-0001-8955-8566

According to our database1, Shaojun Wang authored at least 138 papers between 2000 and 2024.

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Bibliography

2024
Toward an SGX-Friendly Java Runtime.
IEEE Trans. Computers, January, 2024

EfficientTTS 2: Variational End-to-End Text-to-Speech Synthesis and Voice Conversion.
IEEE ACM Trans. Audio Speech Lang. Process., 2024

Planning with Large Language Models for Conversational Agents.
CoRR, 2024

A Single-Step Non-Autoregressive Automatic Speech Recognition Architecture with High Accuracy and Inference Speed.
CoRR, 2024

DFlow: A Generative Model Combining Denoising AutoEncoder and Normalizing Flow for High Fidelity Waveform Generation.
Proceedings of the Forty-first International Conference on Machine Learning, 2024

Improving Attention-Based End-to-End Speech Recognition by Monotonic Alignment Attention Matrix Reconstruction.
Proceedings of the IEEE International Conference on Acoustics, 2024

ESVC: Combining Adaptive Style Fusion and Multi-Level Feature Disentanglement for Expressive Singing Voice Conversion.
Proceedings of the IEEE International Conference on Acoustics, 2024

2023
NetGO 3.0: Protein Language Model Improves Large-scale Functional Annotations.
Genom. Proteom. Bioinform., April, 2023

Relative Boundary Modeling: A High-Resolution Cricket Bowl Release Detection Framework with I3D Features.
Proceedings of the 6th International Workshop on Multimedia Content Analysis in Sports, 2023

Exploring Loss Function and Rank Fusion for Enhanced Person Re-identification.
Proceedings of the 6th International Workshop on Multimedia Content Analysis in Sports, 2023

Image- and Instance-Level Data Augmentation for Occluded Instance Segmentation.
Proceedings of the 6th International Workshop on Multimedia Content Analysis in Sports, 2023

Improving End-to-End Modeling For Mandarin-English Code-Switching Using Lightweight Switch-Routing Mixture-of-Experts.
Proceedings of the 24th Annual Conference of the International Speech Communication Association, 2023

Exploring multi-task learning and data augmentation in dementia detection with self-supervised pretrained models.
Proceedings of the 24th Annual Conference of the International Speech Communication Association, 2023

Lejacon: A Lightweight and Efficient Approach to Java Confidential Computing on SGX.
Proceedings of the 45th IEEE/ACM International Conference on Software Engineering, 2023

2022
Transfer Learning-Based Hybrid Remaining Useful Life Prediction for Lithium-Ion Batteries Under Different Stresses.
IEEE Trans. Instrum. Meas., 2022

Modeling Speech Structure to Improve T-F Masks for Speech Enhancement and Recognition.
IEEE ACM Trans. Audio Speech Lang. Process., 2022

Adding Connectionist Temporal Summarization into Conformer to Improve Its Decoder Efficiency For Speech Recognition.
CoRR, 2022

A Study of Different Ways to Use The Conformer Model For Spoken Language Understanding.
CoRR, 2022

PINGAN Omini-Sinitic at SemEval-2022 Task 4: Multi-prompt Training for Patronizing and Condescending Language Detection.
Proceedings of the 16th International Workshop on Semantic Evaluation, SemEval@NAACL 2022, 2022

Adversarial Knowledge Distillation For Robust Spoken Language Understanding.
Proceedings of the 23rd Annual Conference of the International Speech Communication Association, 2022

FFM: A Frame Filtering Mechanism To Accelerate Inference Speed For Conformer In Speech Recognition.
Proceedings of the 23rd Annual Conference of the International Speech Communication Association, 2022

Towards Efficiently Learning Monotonic Alignments for Attention-based End-to-End Speech Recognition.
Proceedings of the 23rd Annual Conference of the International Speech Communication Association, 2022

A compact transformer-based GAN vocoder.
Proceedings of the 23rd Annual Conference of the International Speech Communication Association, 2022

Learning to Adapt to Low-Resource Paraphrase Generation.
Proceedings of the 2022 Conference on Empirical Methods in Natural Language Processing, 2022

2021
NetGO 2.0: improving large-scale protein function prediction with massive sequence, text, domain, family and network information.
Nucleic Acids Res., 2021

Word Similarity Based Label Smoothing in Rnnlm Training for ASR.
Proceedings of the IEEE Spoken Language Technology Workshop, 2021

PINGAN Omini-Sinitic at SemEval-2021 Task 4: Reading Comprehension of Abstract Meaning.
Proceedings of the 15th International Workshop on Semantic Evaluation, 2021

UNet++-Based Multi-Channel Speech Dereverberation and Distant Speech Recognition.
Proceedings of the 12th International Symposium on Chinese Spoken Language Processing, 2021

EfficientSing: A Chinese Singing Voice Synthesis System Using Duration-Free Acoustic Model and HiFi-GAN Vocoder.
Proceedings of the 22nd Annual Conference of the International Speech Communication Association, Interspeech 2021, Brno, Czechia, August 30, 2021

Improving Polyphone Disambiguation for Mandarin Chinese by Combining Mix-Pooling Strategy and Window-Based Attention.
Proceedings of the 22nd Annual Conference of the International Speech Communication Association, Interspeech 2021, Brno, Czechia, August 30, 2021

Learning Speech Structure to Improve Time-Frequency Masks.
Proceedings of the 22nd Annual Conference of the International Speech Communication Association, Interspeech 2021, Brno, Czechia, August 30, 2021

EfficientTTS: An Efficient and High-Quality Text-to-Speech Architecture.
Proceedings of the 38th International Conference on Machine Learning, 2021

Improving Dialogue Response Generation Via Knowledge Graph Filter.
Proceedings of the IEEE International Conference on Acoustics, 2021

Network Pruning Using Linear Dependency Analysis on Feature Maps.
Proceedings of the IEEE International Conference on Acoustics, 2021

Unsupervised Learning for Multi-Style Speech Synthesis with Limited Data.
Proceedings of the IEEE International Conference on Acoustics, 2021

Improving Neural Text Normalization with Partial Parameter Generator and Pointer-Generator Network.
Proceedings of the IEEE International Conference on Acoustics, 2021

SEQ-CPC : Sequential Contrastive Predictive Coding for Automatic Speech Recognition.
Proceedings of the IEEE International Conference on Acoustics, 2021

Enhancing Dual-Encoders with Question and Answer Cross-Embeddings for Answer Retrieval.
Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2021, 2021

Understanding Gradient Clipping In Incremental Gradient Methods.
Proceedings of the 24th International Conference on Artificial Intelligence and Statistics, 2021

PHMOSpell: Phonological and Morphological Knowledge Guided Chinese Spelling Check.
Proceedings of the 59th Annual Meeting of the Association for Computational Linguistics and the 11th International Joint Conference on Natural Language Processing, 2021

2020
BS-NAS: Broadening-and-Shrinking One-Shot NAS with Searchable Numbers of Channels.
CoRR, 2020

Contextualized Emotion Recognition in Conversation as Sequence Tagging.
Proceedings of the 21th Annual Meeting of the Special Interest Group on Discourse and Dialogue, 2020

Improving Replay Detection System with Channel Consistency DenseNeXt for the ASVspoof 2019 Challenge.
Proceedings of the 21st Annual Conference of the International Speech Communication Association, 2020

Non-Parallel Voice Conversion with Fewer Labeled Data by Conditional Generative Adversarial Networks.
Proceedings of the 21st Annual Conference of the International Speech Communication Association, 2020

Nonparallel Emotional Speech Conversion Using VAE-GAN.
Proceedings of the 21st Annual Conference of the International Speech Communication Association, 2020

Generating Reasonable Legal Text through the Combination of Language Modeling and Question Answering.
Proceedings of the Twenty-Ninth International Joint Conference on Artificial Intelligence, 2020

Learning Recurrent Neural Network Language Models With Context-Sensitive Label Smoothing for Automatic Speech Recognition.
Proceedings of the 2020 IEEE International Conference on Acoustics, 2020

Flow-TTS: A Non-Autoregressive Network for Text to Speech Based on Flow.
Proceedings of the 2020 IEEE International Conference on Acoustics, 2020

An Iterative Polishing Framework Based on Quality Aware Masked Language Model for Chinese Poetry Generation.
Proceedings of the Thirty-Fourth AAAI Conference on Artificial Intelligence, 2020

2019
ADMOST: UAV Flight Data Anomaly Detection and Mitigation via Online Subspace Tracking.
IEEE Trans. Instrum. Meas., 2019

A Lightweight Hyperspectral Image Anomaly Detector for Real-Time Mission.
Remote. Sens., 2019

A Fast Recursive Collaboration Representation Anomaly Detector for Hyperspectral Image.
IEEE Geosci. Remote. Sens. Lett., 2019

A simple discriminative training method for machine translation with large-scale features.
CoRR, 2019

Plackett-Luce model for learning-to-rank task.
CoRR, 2019

Analysis of Regression Tree Fitting Algorithms in Learning to Rank.
CoRR, 2019

A Novel Approach to Lighten the Onboard Hyperspectral Anomaly Detector.
Proceedings of the Wireless and Satellite Systems, 2019

A Syllable-Structured, Contextually-Based Conditionally Generation of Chinese Lyrics.
Proceedings of the PRICAI 2019: Trends in Artificial Intelligence, 2019

A Hierarchical Attention Based Seq2Seq Model for Chinese Lyrics Generation.
Proceedings of the PRICAI 2019: Trends in Artificial Intelligence, 2019

Automatic Acrostic Couplet Generation with Three-Stage Neural Network Pipelines.
Proceedings of the PRICAI 2019: Trends in Artificial Intelligence, 2019

Audio-Based Music Classification with DenseNet and Data Augmentation.
Proceedings of the PRICAI 2019: Trends in Artificial Intelligence, 2019

Cross-Lingual, Multi-Speaker Text-To-Speech Synthesis Using Neural Speaker Embedding.
Proceedings of the 20th Annual Conference of the International Speech Communication Association, 2019

The Manipulator Path Planning of Bolt Disassembly Based on Improved Genetic Algorithm and A* Algorithm.
Proceedings of the 6th International Conference on Systems and Informatics, 2019

A Rotor Fault Diagnosis Method Depending on Local Mean Decomposition and Singular Value Entropy.
Proceedings of the 6th International Conference on Systems and Informatics, 2019

An Attention Based Deep Neural Network for Automatic Lexical Stress Detection.
Proceedings of the 2019 IEEE Global Conference on Signal and Information Processing, 2019

Adversarial Discrete Sequence Generation without Explicit NeuralNetworks as Discriminators.
Proceedings of the 22nd International Conference on Artificial Intelligence and Statistics, 2019

2018
A Structured Sparse Subspace Learning Algorithm for Anomaly Detection in UAV Flight Data.
IEEE Trans. Instrum. Meas., 2018

An Unsupervised Deep Hyperspectral Anomaly Detector.
Sensors, 2018

Multi-Objective Multi-Task Learning on RNNLM for Speech Recognition.
Proceedings of the 2018 IEEE Spoken Language Technology Workshop, 2018

Research on Contour Error Control Based on Cross-coupled Structure.
Proceedings of the IEEE International Conference on Information and Automation, 2018

Hyperspectral image anomaly targets detection with online deep learning.
Proceedings of the IEEE International Instrumentation and Measurement Technology Conference, 2018

UAV sensor data anomaly detection using predictor with uncertainty estimation and its acceleration on FPGA.
Proceedings of the IEEE International Instrumentation and Measurement Technology Conference, 2018

Slim Embedding Layers for Recurrent Neural Language Models.
Proceedings of the Thirty-Second AAAI Conference on Artificial Intelligence, 2018

2017
Quantitative selection of sensor data based on improved permutation entropy for system remaining useful life prediction.
Microelectron. Reliab., 2017

Exploiting different word clusterings for class-based RNN language modeling in speech recognition.
Proceedings of the 2017 IEEE International Conference on Acoustics, 2017

A scalable hybrid architecture for high performance data-parallel applications.
Proceedings of the International Conference on Field Programmable Technology, 2017

2016
A Microcoded Kernel Recursive Least Squares Processor Using FPGA Technology.
ACM Trans. Reconfigurable Technol. Syst., 2016

A run-time built-in approach of TID test in SRAM based FPGAs.
Microelectron. Reliab., 2016

EURECA compilation: Automatic optimisation of cycle-reconfigurable circuits.
Proceedings of the 26th International Conference on Field Programmable Logic and Applications, 2016

F-CNN: An FPGA-based framework for training Convolutional Neural Networks.
Proceedings of the 27th IEEE International Conference on Application-specific Systems, 2016

A Scalable Dataflow Accelerator for Real Time Onboard Hyperspectral Image Classification.
Proceedings of the Applied Reconfigurable Computing - 12th International Symposium, 2016

2015
Entropy-based sensor selection for condition monitoring and prognostics of aircraft engine.
Microelectron. Reliab., 2015

Une méthode discriminant formation simple pour la traduction automatique avec Grands Caractéristiques.
Proceedings of the Actes de la 22e conference sur le Traitement Automatique des Langues Naturelles. Articles courts, 2015

A Direct Boosting Approach for Semi-supervised Classification.
Proceedings of the Twenty-Fourth International Joint Conference on Artificial Intelligence, 2015

A Multi-label Ensemble Method Based on Minimum Ranking Margin Maximization.
Proceedings of the 2015 IEEE International Conference on Data Mining, 2015

A boosting method for direct AUC optimization.
Proceedings of the IEEE China Summit and International Conference on Signal and Information Processing, 2015

2014
A multi-class boosting method with direct optimization.
Proceedings of the 20th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, 2014

Implementation of LS-SVM with HLS on Zynq.
Proceedings of the 2014 International Conference on Field-Programmable Technology, 2014

High performance relevance vector machine on HMPSoC.
Proceedings of the 2014 International Conference on Field-Programmable Technology, 2014

2013
Consistency and Generalization Bounds for Maximum Entropy Density Estimation.
Entropy, 2013

Exploiting Syntactic, Semantic, and Lexical Regularities in Language Modeling via Directed Markov Random Fields.
Comput. Intell., 2013

Direct 0-1 Loss Minimization and Margin Maximization with Boosting.
Proceedings of the Advances in Neural Information Processing Systems 26: 27th Annual Conference on Neural Information Processing Systems 2013. Proceedings of a meeting held December 5-8, 2013

Direct optimization of ranking measures for learning to rank models.
Proceedings of the 19th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, 2013

A robust semi-supervised boosting method using linear programming.
Proceedings of the IEEE Global Conference on Signal and Information Processing, 2013

A low latency kernel recursive least squares processor using FPGA technology.
Proceedings of the 2013 International Conference on Field-Programmable Technology, 2013

Improving Alignment of System Combination by Using Multi-objective Optimization.
Proceedings of the 2013 Conference on Empirical Methods in Natural Language Processing, 2013

A Corpus Level MIRA Tuning Strategy for Machine Translation.
Proceedings of the 2013 Conference on Empirical Methods in Natural Language Processing, 2013

2012
The Latent Maximum Entropy Principle.
ACM Trans. Knowl. Discov. Data, 2012

A Scalable Distributed Syntactic, Semantic, and Lexical Language Model.
Comput. Linguistics, 2012

Extracting Diverse Sentiment Expressions with Target-Dependent Polarity from Twitter.
Proceedings of the Sixth International Conference on Weblogs and Social Media, 2012

2011
Accelerating on-line training of LS-SVM with run-time reconfiguration.
Proceedings of the 2011 International Conference on Field-Programmable Technology, 2011

A Large Scale Distributed Syntactic, Semantic and Lexical Language Model for Machine Translation.
Proceedings of the 49th Annual Meeting of the Association for Computational Linguistics: Human Language Technologies, 2011

2010
Measurement Error Compensation Using Data Fusion Technique for Laser Scanner on AACMMs.
Proceedings of the Intelligent Robotics and Applications - Third International Conference, 2010

2009
Monetizing User Activity on Social Networks - Challenges and Experiences.
Proceedings of the 2009 IEEE/WIC/ACM International Conference on Web Intelligence, 2009

A Rate Distortion Approach for Semi-Supervised Conditional Random Fields.
Proceedings of the Advances in Neural Information Processing Systems 22: 23rd Annual Conference on Neural Information Processing Systems 2009. Proceedings of a meeting held 7-10 December 2009, 2009

Information theoretic regularization for semi-supervised boosting.
Proceedings of the 15th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, Paris, France, June 28, 2009

2008
Segmenting Brain Tumors Using Pseudo-Conditional Random Fields.
Proceedings of the Medical Image Computing and Computer-Assisted Intervention, 2008

Boosting with incomplete information.
Proceedings of the Machine Learning, 2008

Unsupervised Discovery of Compound Entities for Relationship Extraction.
Proceedings of the Knowledge Engineering: Practice and Patterns, 2008

Constrained Classification on Structured Data.
Proceedings of the Twenty-Third AAAI Conference on Artificial Intelligence, 2008

2006
Optimal models for a multi-stage supply chain system controlled by kanban under just-in-time philosophy.
Eur. J. Oper. Res., 2006

Learning to Model Spatial Dependency: Semi-Supervised Discriminative Random Fields.
Proceedings of the Advances in Neural Information Processing Systems 19, 2006

implicit Online Learning with Kernels.
Proceedings of the Advances in Neural Information Processing Systems 19, 2006

Using query-specific variance estimates to combine Bayesian classifiers.
Proceedings of the Machine Learning, 2006

Stochastic Analysis of Lexical and Semantic Enhanced Structural Language Model.
Proceedings of the Grammatical Inference: Algorithms and Applications, 2006

An Online Discriminative Approach to Background Subtraction.
Proceedings of the Advanced Video and Signal Based Surveillance, 2006

Fuzzy Petri Net-Based Evaluation to the Process of ERP Implementation.
Proceedings of The 1st IEEE Asia-Pacific Services Computing Conference, 2006

Semi-Supervised Conditional Random Fields for Improved Sequence Segmentation and Labeling.
Proceedings of the ACL 2006, 2006

2005
Combining Statistical Language Models via the Latent Maximum Entropy Principle.
Mach. Learn., 2005

An assembly-type supply chain system controlled by kanbans under a just-in-time delivery policy.
Eur. J. Oper. Res., 2005

Variational Bayesian image modelling.
Proceedings of the Machine Learning, 2005

2004
Learning mixture models with the regularized latent maximum entropy principle.
IEEE Trans. Neural Networks, 2004

Augmenting Naive Bayes Classifiers with Statistical Language Models.
Inf. Retr., 2004

Resource planning and a depot location model for electric power restoration.
Eur. J. Oper. Res., 2004

2003
Boltzmann Machine Learning with the Latent Maximum Entropy Principle.
Proceedings of the UAI '03, 2003

Language and Task Independent Text Categorization with Simple Language Models.
Proceedings of the Human Language Technology Conference of the North American Chapter of the Association for Computational Linguistics, 2003

Text classification in Asian languages without word segmentation.
Proceedings of the Sixth International Workshop on Information Retrieval with Asian Languages, 2003

Learning Mixture Models with the Latent Maximum Entropy Principle.
Proceedings of the Machine Learning, 2003

Semantic n-gram language modeling with the latent maximum entropy principle.
Proceedings of the 2003 IEEE International Conference on Acoustics, 2003

Language Independent Authorship Attribution with Character Level N-Grams.
Proceedings of the EACL 2003, 2003

Learning Continuous Latent Variable Models with Bregman Divergences.
Proceedings of the Algorithmic Learning Theory, 14th International Conference, 2003

Latent Maximum Entropy Approach for Semantic N-gram Language Modeling.
Proceedings of the Ninth International Workshop on Artificial Intelligence and Statistics, 2003

2002
Predicting oral reading miscues.
Proceedings of the 7th International Conference on Spoken Language Processing, ICSLP2002, 2002

2001
Statistical Recursive Estimation Algorithms for Speaker Adaption
PhD thesis, 2001

Online Bayesian tree-structured transformation of HMMs with optimal model selection for speaker adaptation.
IEEE Trans. Speech Audio Process., 2001

Recursive estimation of time-varying environments for robust speech recognition.
Proceedings of the IEEE International Conference on Acoustics, 2001

2000
Supply chain models for perishable products under inflation and permissible delay in payment.
Comput. Oper. Res., 2000

Optimal on-line Bayesian model selection for speaker adaptation.
Proceedings of the Sixth International Conference on Spoken Language Processing, 2000

On-line Bayesian speaker adaptation using tree-structured transformation and robust priors.
Proceedings of the IEEE International Conference on Acoustics, 2000


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