Jianzong Wang

Orcid: 0000-0002-9237-4231

Affiliations:
  • Ping An Technology (Shenzhen) Co., Ltd., China


According to our database1, Jianzong Wang authored at least 209 papers between 2010 and 2024.

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Bibliography

2024
PFID: Privacy First Inference Delegation Framework for LLMs.
CoRR, 2024

From Quantity to Quality: Boosting LLM Performance with Self-Guided Data Selection for Instruction Tuning.
Proceedings of the 2024 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies (Volume 1: Long Papers), 2024

Retrieval-Augmented Audio Deepfake Detection.
Proceedings of the 2024 International Conference on Multimedia Retrieval, 2024

Gecko: Resource-Efficient and Accurate Queries in Real-Time Video Streams at the Edge.
Proceedings of the IEEE INFOCOM 2024, 2024

EfficientASR: Speech Recognition Network Compression via Attention Redundancy and Chunk-Level FFN Optimization.
Proceedings of the International Joint Conference on Neural Networks, 2024

ConTuner: Singing Voice Beautifying with Pitch and Expressiveness Condition.
Proceedings of the International Joint Conference on Neural Networks, 2024

Task-agnostic Decision Transformer for Multi-type Agent Control with Federated Split Training.
Proceedings of the International Joint Conference on Neural Networks, 2024

QLSC: A Query Latent Semantic Calibrator for Robust Extractive Question Answering.
Proceedings of the International Joint Conference on Neural Networks, 2024

EAD-VC: Enhancing Speech Auto-Disentanglement for Voice Conversion with IFUB Estimator and Joint Text-Guided Consistent Learning.
Proceedings of the International Joint Conference on Neural Networks, 2024

MAIN-VC: Lightweight Speech Representation Disentanglement for One-shot Voice Conversion.
Proceedings of the International Joint Conference on Neural Networks, 2024

Efficient Multi-Model Fusion with Adversarial Complementary Representation Learning.
Proceedings of the International Joint Conference on Neural Networks, 2024

PRENet: A Plane-Fit Redundancy Encoding Point Cloud Sequence Network for Real-Time 3D Action Recognition.
Proceedings of the International Joint Conference on Neural Networks, 2024

Learning Expressive Disentangled Speech Representations with Soft Speech Units and Adversarial Style Augmentation.
Proceedings of the International Joint Conference on Neural Networks, 2024

Enhancing Anomalous Sound Detection with Multi-Level Memory Bank.
Proceedings of the International Joint Conference on Neural Networks, 2024

RREH: Reconstruction Relations Embedded Hashing for Semi-paired Cross-Modal Retrieval.
Proceedings of the Advanced Intelligent Computing Technology and Applications, 2024

Enhancing Emotion Recognition in Conversation Through Emotional Cross-Modal Fusion and Inter-class Contrastive Learning.
Proceedings of the Advanced Intelligent Computing Technology and Applications, 2024

Leveraging Biases in Large Language Models: "bias-kNN" for Effective Few-Shot Learning.
Proceedings of the IEEE International Conference on Acoustics, 2024

EmoTalker: Emotionally Editable Talking Face Generation via Diffusion Model.
Proceedings of the IEEE International Conference on Acoustics, 2024

P2DT: Mitigating Forgetting in Task-Incremental Learning with Progressive Prompt Decision Transformer.
Proceedings of the IEEE International Conference on Acoustics, 2024

INCPrompt: Task-Aware Incremental Prompting for Rehearsal-Free Class-Incremental Learning.
Proceedings of the IEEE International Conference on Acoustics, 2024

ED-TTS: Multi-Scale Emotion Modeling Using Cross-Domain Emotion Diarization for Emotional Speech Synthesis.
Proceedings of the IEEE International Conference on Acoustics, 2024

Learning Disentangled Speech Representations with Contrastive Learning and Time-Invariant Retrieval.
Proceedings of the IEEE International Conference on Acoustics, 2024

IDEAW: Robust Neural Audio Watermarking with Invertible Dual-Embedding.
Proceedings of the 2024 Conference on Empirical Methods in Natural Language Processing, 2024

Value-Driven Mixed-Precision Quantization for Patch-Based Inference on Microcontrollers.
Proceedings of the Design, Automation & Test in Europe Conference & Exhibition, 2024

Medical Speech Symptoms Classification via Disentangled Representation.
Proceedings of the 27th International Conference on Computer Supported Cooperative Work in Design, 2024

Beyond Aggregation: Efficient Federated Model Consolidation with Heterogeneity-Adaptive Weights Diffusion.
Proceedings of the 33rd ACM International Conference on Information and Knowledge Management, 2024

RSET: Remapping-Based Sorting Method for Emotion Transfer Speech Synthesis.
Proceedings of the Web and Big Data - 8th International Joint Conference, 2024

Superfiltering: Weak-to-Strong Data Filtering for Fast Instruction-Tuning.
Proceedings of the 62nd Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2024

2023
DiffTalker: Co-driven audio-image diffusion for talking faces via intermediate landmarks.
CoRR, 2023

Machine Unlearning Methodology base on Stochastic Teacher Network.
CoRR, 2023

Symbolic & Acoustic: Multi-domain Music Emotion Modeling for Instrumental Music.
CoRR, 2023

GAIA: Delving into Gradient-based Attribution Abnormality for Out-of-distribution Detection.
Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

PMVC: Data Augmentation-Based Prosody Modeling for Expressive Voice Conversion.
Proceedings of the 31st ACM International Conference on Multimedia, 2023

Prompt Guided Copy Mechanism for Conversational Question Answering.
Proceedings of the 24th Annual Conference of the International Speech Communication Association, 2023

EmoMix: Emotion Mixing via Diffusion Models for Emotional Speech Synthesis.
Proceedings of the 24th Annual Conference of the International Speech Communication Association, 2023

Investigation of Music Emotion Recognition Based on Segmented Semi-Supervised Learning.
Proceedings of the 24th Annual Conference of the International Speech Communication Association, 2023

SVVAD: Personal Voice Activity Detection for Speaker Verification.
Proceedings of the 24th Annual Conference of the International Speech Communication Association, 2023

Boosting Chinese ASR Error Correction with Dynamic Error Scaling Mechanism.
Proceedings of the 24th Annual Conference of the International Speech Communication Association, 2023

SAR: Self-Supervised Anti-Distortion Representation for End-To-End Speech Model.
Proceedings of the International Joint Conference on Neural Networks, 2023

Personalized Federated Learning via Gradient Modulation for Heterogeneous Text Summarization.
Proceedings of the International Joint Conference on Neural Networks, 2023

FedET: A Communication-Efficient Federated Class-Incremental Learning Framework Based on Enhanced Transformer.
Proceedings of the Thirty-Second International Joint Conference on Artificial Intelligence, 2023

FastGraphTTS: An Ultrafast Syntax-Aware Speech Synthesis Framework.
Proceedings of the 35th IEEE International Conference on Tools with Artificial Intelligence, 2023

AOSR-Net: All-in-One Sandstorm Removal Network.
Proceedings of the 35th IEEE International Conference on Tools with Artificial Intelligence, 2023

Contrastive Latent Space Reconstruction Learning for Audio-Text Retrieval.
Proceedings of the 35th IEEE International Conference on Tools with Artificial Intelligence, 2023

EdgeMA: Model Adaptation System for Real-Time Video Analytics on Edge Devices.
Proceedings of the Neural Information Processing - 30th International Conference, 2023

Improving EEG-based Emotion Recognition by Fusing Time-Frequency and Spatial Representations.
Proceedings of the IEEE International Conference on Acoustics, 2023

Dynamic Alignment Mask CTC: Improved Mask CTC With Aligned Cross Entropy.
Proceedings of the IEEE International Conference on Acoustics, 2023

Efficient Uncertainty Estimation with Gaussian Process for Reliable Dialog Response Retrieval.
Proceedings of the IEEE International Conference on Acoustics, 2023

QI-TTS: Questioning Intonation Control for Emotional Speech Synthesis.
Proceedings of the IEEE International Conference on Acoustics, 2023

VQ-CL: Learning Disentangled Speech Representations with Contrastive Learning and Vector Quantization.
Proceedings of the IEEE International Conference on Acoustics, 2023

Learning Speech Representations with Flexible Hidden Feature Dimensions.
Proceedings of the IEEE International Conference on Acoustics, 2023

Improving Music Genre Classification from multi-modal Properties of Music and Genre Correlations Perspective.
Proceedings of the IEEE International Conference on Acoustics, 2023

Feature-Rich Audio Model Inversion for Data-Free Knowledge Distillation Towards General Sound Classification.
Proceedings of the IEEE International Conference on Acoustics, 2023

Detecting Out-of-Distribution Examples Via Class-Conditional Impressions Reappearing.
Proceedings of the IEEE International Conference on Acoustics, 2023

PRCA: Fitting Black-Box Large Language Models for Retrieval Question Answering via Pluggable Reward-Driven Contextual Adapter.
Proceedings of the 2023 Conference on Empirical Methods in Natural Language Processing, 2023

Shoggoth: Towards Efficient Edge-Cloud Collaborative Real-Time Video Inference via Adaptive Online Learning.
Proceedings of the 60th ACM/IEEE Design Automation Conference, 2023

DQR-TTS: Semi-supervised Text-to-speech Synthesis with Dynamic Quantized Representation.
Proceedings of the IEEE Intl Conf on Parallel & Distributed Processing with Applications, 2023

CP-EB: Talking Face Generation with Controllable Pose and Eye Blinking Embedding.
Proceedings of the IEEE Intl Conf on Parallel & Distributed Processing with Applications, 2023

CLN-VC: Text-Free Voice Conversion Based on Fine-Grained Style Control and Contrastive Learning with Negative Samples Augmentation.
Proceedings of the IEEE Intl Conf on Parallel & Distributed Processing with Applications, 2023

Voiceextender: Short-Utterance Text-Independent Speaker Verification With Guided Diffusion Model.
Proceedings of the IEEE Automatic Speech Recognition and Understanding Workshop, 2023

Symbolic and Acoustic: Multi-domain Music Emotion Modeling for Instrumental Music.
Proceedings of the Advanced Data Mining and Applications - 19th International Conference, 2023

Voice Conversion with Denoising Diffusion Probabilistic GAN Models.
Proceedings of the Advanced Data Mining and Applications - 19th International Conference, 2023

Machine Unlearning Methodology Based on Stochastic Teacher Network.
Proceedings of the Advanced Data Mining and Applications - 19th International Conference, 2023

On the Calibration and Uncertainty with Pólya-Gamma Augmentation for Dialog Retrieval Models.
Proceedings of the Thirty-Seventh AAAI Conference on Artificial Intelligence, 2023

2022
Boosting Star-GANs for Voice Conversion with Contrastive Discriminator.
CoRR, 2022

Debias the Black-Box: A Fair Ranking Framework via Knowledge Distillation.
Proceedings of the Web Information Systems Engineering - WISE 2022, 2022

Learning Invariant Representation and Risk Minimized for Unsupervised Accent Domain Adaptation.
Proceedings of the IEEE Spoken Language Technology Workshop, 2022

SVLDL: Improved Speaker Age Estimation Using Selective Variance Label Distribution Learning.
Proceedings of the IEEE Spoken Language Technology Workshop, 2022

Linguistic-Enhanced Transformer with CTC Embedding for Speech Recognition.
Proceedings of the 18th International Conference on Mobility, Sensing and Networking, 2022

Improving Speech Representation Learning via Speech-level and Phoneme-level Masking Approach.
Proceedings of the 18th International Conference on Mobility, Sensing and Networking, 2022

Improving Imbalanced Text Classification with Dynamic Curriculum Learning.
Proceedings of the 18th International Conference on Mobility, Sensing and Networking, 2022

Semi-Supervised Learning Based on Reference Model for Low-resource TTS.
Proceedings of the 18th International Conference on Mobility, Sensing and Networking, 2022

MetaSpeech: Speech Effects Switch Along with Environment for Metaverse.
Proceedings of the 18th International Conference on Mobility, Sensing and Networking, 2022

Adapitch: Adaption Multi-Speaker Text-to-Speech Conditioned on Pitch Disentangling with Untranscribed Data.
Proceedings of the 18th International Conference on Mobility, Sensing and Networking, 2022

A Privacy-Preserving Subgraph-Level Federated Graph Neural Network via Differential Privacy.
Proceedings of the Knowledge Science, Engineering and Management, 2022

Uncertainty Calibration for Deep Audio Classifiers.
Proceedings of the 23rd Annual Conference of the International Speech Communication Association, 2022

Speech Representation Disentanglement with Adversarial Mutual Information Learning for One-shot Voice Conversion.
Proceedings of the 23rd Annual Conference of the International Speech Communication Association, 2022

Tiny-Sepformer: A Tiny Time-Domain Transformer Network For Speech Separation.
Proceedings of the 23rd Annual Conference of the International Speech Communication Association, 2022

SpeechEQ: Speech Emotion Recognition based on Multi-scale Unified Datasets and Multitask Learning.
Proceedings of the 23rd Annual Conference of the International Speech Communication Association, 2022

Cali3F: Calibrated Fast Fair Federated Recommendation System.
Proceedings of the International Joint Conference on Neural Networks, 2022

Adaptive Few-Shot Learning Algorithm for Rare Sound Event Detection.
Proceedings of the International Joint Conference on Neural Networks, 2022

DT-SV: A Transformer-based Time-domain Approach for Speaker Verification.
Proceedings of the International Joint Conference on Neural Networks, 2022

MetaSID: Singer Identification with Domain Adaptation for Metaverse.
Proceedings of the International Joint Conference on Neural Networks, 2022

Singer Identification for Metaverse with Timbral and Middle-Level Perceptual Features.
Proceedings of the International Joint Conference on Neural Networks, 2022

TDASS: Target Domain Adaptation Speech Synthesis Framework for Multi-speaker Low-Resource TTS.
Proceedings of the International Joint Conference on Neural Networks, 2022

MDCNN-SID: Multi-scale Dilated Convolution Network for Singer Identification.
Proceedings of the International Joint Conference on Neural Networks, 2022

SUSing: SU-net for Singing Voice Synthesis.
Proceedings of the International Joint Conference on Neural Networks, 2022

Improving Human Image Synthesis with Residual Fast Fourier Transformation and Wasserstein Distance.
Proceedings of the International Joint Conference on Neural Networks, 2022

Augmentation-induced Consistency Regularization for Classification.
Proceedings of the International Joint Conference on Neural Networks, 2022

Leveraging Causal Inference for Explainable Automatic Program Repair.
Proceedings of the International Joint Conference on Neural Networks, 2022

A Fair Federated Learning Framework With Reinforcement Learning.
Proceedings of the International Joint Conference on Neural Networks, 2022

Micro-Expression Recognition Based on Attribute Information Embedding and Cross-modal Contrastive Learning.
Proceedings of the International Joint Conference on Neural Networks, 2022

Federated Non-negative Matrix Factorization for Short Texts Topic Modeling with Mutual Information.
Proceedings of the International Joint Conference on Neural Networks, 2022

Adaptive Activation Network for Low Resource Multilingual Speech Recognition.
Proceedings of the International Joint Conference on Neural Networks, 2022

Speech Augmentation Based Unsupervised Learning for Keyword Spotting.
Proceedings of the International Joint Conference on Neural Networks, 2022

Federated Split BERT for Heterogeneous Text Classification.
Proceedings of the International Joint Conference on Neural Networks, 2022

QSpeech: Low-Qubit Quantum Speech Application Toolkit.
Proceedings of the International Joint Conference on Neural Networks, 2022

A Nearest Neighbor Under-sampling Strategy for Vertical Federated Learning in Financial Domain.
Proceedings of the IH&MMSec '22: ACM Workshop on Information Hiding and Multimedia Security, Santa Barbara, CA, USA, June 27, 2022

Pre-Avatar: An Automatic Presentation Generation Framework Leveraging Talking Avatar.
Proceedings of the 34th IEEE International Conference on Tools with Artificial Intelligence, 2022

Blur the Linguistic Boundary: Interpreting Chinese Buddhist Sutra in English via Neural Machine Translation.
Proceedings of the 34th IEEE International Conference on Tools with Artificial Intelligence, 2022

Boosting StarGANs for Voice Conversion with Contrastive Discriminator.
Proceedings of the Neural Information Processing - 29th International Conference, 2022

Efficient Private Set Intersection Based on Functional Encryption.
Proceedings of the 4th International Conference on Data Intelligence and Security, 2022

nnSpeech: Speaker-Guided Conditional Variational Autoencoder for Zero-Shot Multi-speaker text-to-speech.
Proceedings of the IEEE International Conference on Acoustics, 2022

r-G2P: Evaluating and Enhancing Robustness of Grapheme to Phoneme Conversion by Controlled Noise Introducing and Contextual Information Incorporation.
Proceedings of the IEEE International Conference on Acoustics, 2022

Self-Attention for Incomplete Utterance Rewriting.
Proceedings of the IEEE International Conference on Acoustics, 2022

VU-BERT: A Unified Framework for Visual Dialog.
Proceedings of the IEEE International Conference on Acoustics, 2022

DRVC: A Framework of Any-to-Any Voice Conversion with Self-Supervised Learning.
Proceedings of the IEEE International Conference on Acoustics, 2022

Avqvc: One-Shot Voice Conversion By Vector Quantization With Applying Contrastive Learning.
Proceedings of the IEEE International Conference on Acoustics, 2022

Towards Speaker Age Estimation With Label Distribution Learning.
Proceedings of the IEEE International Conference on Acoustics, 2022

Supervised Contrastive Meta-learning for Few-Shot Classification.
Proceedings of the 24th IEEE Int Conf on High Performance Computing & Communications; 8th Int Conf on Data Science & Systems; 20th Int Conf on Smart City; 8th Int Conf on Dependability in Sensor, 2022

zkMLaaS: a Verifiable Scheme for Machine Learning as a Service.
Proceedings of the IEEE Global Communications Conference, 2022

Adaptive Sparse and Monotonic Attention for Transformer-based Automatic Speech Recognition.
Proceedings of the 9th IEEE International Conference on Data Science and Advanced Analytics, 2022

RL-MD: A Novel Reinforcement Learning Approach for DNA Motif Discovery.
Proceedings of the 9th IEEE International Conference on Data Science and Advanced Analytics, 2022

Machine Unlearning Method Based On Projection Residual.
Proceedings of the 9th IEEE International Conference on Data Science and Advanced Analytics, 2022

Shallow Diffusion Motion Model for Talking Face Generation from Speech.
Proceedings of the Web and Big Data - 6th International Joint Conference, 2022

Pose Guided Human Image Synthesis with Partially Decoupled GAN.
Proceedings of the Asian Conference on Machine Learning, 2022

2021
Grus: Toward Unified-memory-efficient High-performance Graph Processing on GPU.
ACM Trans. Archit. Code Optim., 2021

Case Study of Few-Shot Learning in Text Recognition Models.
Proceedings of the Web Information Systems Engineering - WISE 2021, 2021

Modeling Without Sharing Privacy: Federated Neural Machine Translation.
Proceedings of the Web Information Systems Engineering - WISE 2021, 2021

MelGlow: Efficient Waveform Generative Network Based On Location-Variable Convolution.
Proceedings of the IEEE Spoken Language Technology Workshop, 2021

GraphPB: Graphical Representations of Prosody Boundary in Speech Synthesis.
Proceedings of the IEEE Spoken Language Technology Workshop, 2021

End-To-End Silent Speech Recognition with Acoustic Sensing.
Proceedings of the IEEE Spoken Language Technology Workshop, 2021

Multi-Quartznet: Multi-Resolution Convolution for Speech Recognition with Multi-Layer Feature Fusion.
Proceedings of the IEEE Spoken Language Technology Workshop, 2021

A Competition of Shape and Texture Bias by Multi-view Image Representation.
Proceedings of the Pattern Recognition and Computer Vision - 4th Chinese Conference, 2021

Semantic Embedding Graph Convolutional Networks for Multi-label Video Segment Classification.
Proceedings of the 12th International Symposium on Parallel Architectures, 2021

Variational Information Bottleneck for Effective Low-Resource Audio Classification.
Proceedings of the 22nd Annual Conference of the International Speech Communication Association, Interspeech 2021, Brno, Czechia, August 30, 2021

Speech2Video: Cross-Modal Distillation for Speech to Video Generation.
Proceedings of the 22nd Annual Conference of the International Speech Communication Association, Interspeech 2021, Brno, Czechia, August 30, 2021

ICSpk: Interpretable Complex Speaker Embedding Extractor from Raw Waveform.
Proceedings of the 22nd Annual Conference of the International Speech Communication Association, Interspeech 2021, Brno, Czechia, August 30, 2021

Effective Phase Encoding for End-To-End Speaker Verification.
Proceedings of the 22nd Annual Conference of the International Speech Communication Association, Interspeech 2021, Brno, Czechia, August 30, 2021

Dropout Regularization for Self-Supervised Learning of Transformer Encoder Speech Representation.
Proceedings of the 22nd Annual Conference of the International Speech Communication Association, Interspeech 2021, Brno, Czechia, August 30, 2021

Federated Learning with Dynamic Transformer for Text to Speech.
Proceedings of the 22nd Annual Conference of the International Speech Communication Association, Interspeech 2021, Brno, Czechia, August 30, 2021

CACnet: Cube Attentional CNN for Automatic Speech Recognition.
Proceedings of the International Joint Conference on Neural Networks, 2021

Semantic Extraction for Sentence Representation via Reinforcement Learning.
Proceedings of the International Joint Conference on Neural Networks, 2021

A Language Model Based Pseudo-Sample Deliberation for Semi-supervised Speech Recognition.
Proceedings of the International Joint Conference on Neural Networks, 2021

Transfer Ability of Monolingual Wav2vec2.0 for Low-resource Speech Recognition.
Proceedings of the International Joint Conference on Neural Networks, 2021

Diversified Point Cloud Classification Using Personalized Federated Learning.
Proceedings of the International Joint Conference on Neural Networks, 2021

Contrastive Learning for improving End-to-end Speaker Verification.
Proceedings of the International Joint Conference on Neural Networks, 2021

Enhancing Neural Architecture Search by Upgrading Weak Components.
Proceedings of the International Joint Conference on Neural Networks, 2021

Loss Prediction: End-to-End Active Learning Approach For Speech Recognition.
Proceedings of the International Joint Conference on Neural Networks, 2021

Automatic Joint Optimization of Algorithm-Level Compression and Compiler-Based Acceleration with Reinforcement Learning for DNN in Edge Devices.
Proceedings of the International Joint Conference on Neural Networks, 2021

Anomaly Removal for Vehicle Energy Consumption in Federated Learning.
Proceedings of the International Joint Conference on Neural Networks, 2021

Communication-Memory-Efficient Decentralized Learning For Audio Representation.
Proceedings of the International Joint Conference on Neural Networks, 2021

When Hearing the Voice, Who Will Come to Your Mind.
Proceedings of the International Joint Conference on Neural Networks, 2021

Quantum Convolutional Neural Network on Protein Distance Prediction.
Proceedings of the International Joint Conference on Neural Networks, 2021

Cross-Language Transfer Learning and Domain Adaptation for End-to-End Automatic Speech Recognition.
Proceedings of the 2021 IEEE International Conference on Multimedia and Expo, 2021

Efficient Client Contribution Evaluation for Horizontal Federated Learning.
Proceedings of the IEEE International Conference on Acoustics, 2021

LVCNet: Efficient Condition-Dependent Modeling Network for Waveform Generation.
Proceedings of the IEEE International Conference on Acoustics, 2021

Enhancing Data-Free Adversarial Distillation with Activation Regularization and Virtual Interpolation.
Proceedings of the IEEE International Conference on Acoustics, 2021

Unidirectional Memory-Self-Attention Transducer for Online Speech Recognition.
Proceedings of the IEEE International Conference on Acoustics, 2021

A Quantitative Metric for Privacy Leakage in Federated Learning.
Proceedings of the IEEE International Conference on Acoustics, 2021

Joint Intent Detection and Slot Filling Based on Continual Learning Model.
Proceedings of the IEEE International Conference on Acoustics, 2021

Neural Architecture Search as Self-assessor in Semi-supervised Learning.
Proceedings of the Big Data - 9th CCF Conference, 2021

Cyclegean: Cycle Generative Enhanced Adversarial Network for Voice Conversion.
Proceedings of the IEEE Automatic Speech Recognition and Understanding Workshop, 2021

TGAVC: Improving Autoencoder Voice Conversion with Text-Guided and Adversarial Training.
Proceedings of the IEEE Automatic Speech Recognition and Understanding Workshop, 2021

Reconstructing Dual Learning for Neural Voice Conversion Using Relatively Few Samples.
Proceedings of the IEEE Automatic Speech Recognition and Understanding Workshop, 2021

Self-supervised Learning for Semantic Sentence Matching with Dense Transformer Inference Network.
Proceedings of the Web and Big Data - 5th International Joint Conference, 2021

A Novel Capsule Aggregation Framework for Natural Language Inference.
Proceedings of the Web and Big Data - 5th International Joint Conference, 2021

2020
IDRiD: Diabetic Retinopathy - Segmentation and Grading Challenge.
Medical Image Anal., 2020

Applying wav2vec2.0 to Speech Recognition in various low-resource languages.
CoRR, 2020

A Comparison of Label-Synchronous and Frame-Synchronous End-to-End Models for Speech Recognition.
CoRR, 2020

3D Point Cloud Segmentation for Complex Structure Based on PointSIFT.
Proceedings of the Pattern Recognition and Computer Vision, Third Chinese Conference, 2020

MLNET: An Adaptive Multiple Receptive-Field Attention Neural Network for Voice Activity Detection.
Proceedings of the 21st Annual Conference of the International Speech Communication Association, 2020

Prosody Learning Mechanism for Speech Synthesis System Without Text Length Limit.
Proceedings of the 21st Annual Conference of the International Speech Communication Association, 2020

A Real-Time Robot-Based Auxiliary System for Risk Evaluation of COVID-19 Infection.
Proceedings of the 21st Annual Conference of the International Speech Communication Association, 2020

Evolutionary Algorithm Enhanced Neural Architecture Search for Text-Independent Speaker Verification.
Proceedings of the 21st Annual Conference of the International Speech Communication Association, 2020

Large-Scale Transfer Learning for Low-Resource Spoken Language Understanding.
Proceedings of the 21st Annual Conference of the International Speech Communication Association, 2020

Network Coding for Federated Learning Systems.
Proceedings of the Neural Information Processing - 27th International Conference, 2020

An Approach for Neural Machine Translation with Graph Attention Network.
Proceedings of the ICCPR 2020: 9th International Conference on Computing and Pattern Recognition, Xiamen, China, October 30, 2020

Aligntts: Efficient Feed-Forward Text-to-Speech System Without Explicit Alignment.
Proceedings of the 2020 IEEE International Conference on Acoustics, 2020

GraphTTS: Graph-to-Sequence Modelling in Neural Text-to-Speech.
Proceedings of the 2020 IEEE International Conference on Acoustics, 2020

A Robust Speaker Clustering Method Based on Discrete Tied Variational Autoencoder.
Proceedings of the 2020 IEEE International Conference on Acoustics, 2020

Multi-objective Cuckoo Algorithm for Mobile Devices Network Architecture Search.
Proceedings of the Artificial Neural Networks and Machine Learning - ICANN 2020, 2020

Quantization and Knowledge Distillation for Efficient Federated Learning on Edge Devices.
Proceedings of the 22nd IEEE International Conference on High Performance Computing and Communications; 18th IEEE International Conference on Smart City; 6th IEEE International Conference on Data Science and Systems, 2020

ParallelNAS: A Parallel and Distributed System for Neural Architecture Search.
Proceedings of the 22nd IEEE International Conference on High Performance Computing and Communications; 18th IEEE International Conference on Smart City; 6th IEEE International Conference on Data Science and Systems, 2020

Empirical Studies of Institutional Federated Learning For Natural Language Processing.
Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2020, 2020

Chinese Punctuation Prediction with Adaptive Attention and Dependency Tree.
Proceedings of the Knowledge Graph and Semantic Computing: Knowledge Graph and Cognitive Intelligence, 2020

Image Compressed Sensing Using Neural Architecture Search.
Proceedings of the Big Data - 8th CCF Conference, 2020

Epidemic Guard: A COVID-19 Detection System for Elderly People.
Proceedings of the Web and Big Data - 4th International Joint Conference, 2020

D-GHNAS for Joint Intent Classification and Slot Filling.
Proceedings of the Web and Big Data - 4th International Joint Conference, 2020

FedSmart: An Auto Updating Federated Learning Optimization Mechanism.
Proceedings of the Web and Big Data - 4th International Joint Conference, 2020

2019
Who Should Be Invited to My Party: A Size-Constrained k-Core Problem in Social Networks.
J. Comput. Sci. Technol., 2019

Dynamic Student Classiffication on Memory Networks for Knowledge Tracing.
Proceedings of the Advances in Knowledge Discovery and Data Mining, 2019

Composer4Everyone: Automatic Music Generation with Audio Motif.
Proceedings of the 2nd IEEE Conference on Multimedia Information Processing and Retrieval, 2019

Federated Learning of Unsegmented Chinese Text Recognition Model.
Proceedings of the 31st IEEE International Conference on Tools with Artificial Intelligence, 2019

On Probability Calibration of Recurrent Text Recognition Network.
Proceedings of the Neural Information Processing - 26th International Conference, 2019

Performance of Training Sparse Deep Neural Networks on GPUs.
Proceedings of the 2019 IEEE High Performance Extreme Computing Conference, 2019

2018
Social Network Monitoring for Bursty Cascade Detection.
ACM Trans. Knowl. Discov. Data, 2018

Automated Full Quantification of Left Ventricle with Deep Neural Networks.
Proceedings of the Statistical Atlases and Computational Models of the Heart. Atrial Segmentation and LV Quantification Challenges, 2018

A Noise-Robust Self-Adaptive Multitarget Speaker Detection System.
Proceedings of the 24th International Conference on Pattern Recognition, 2018

Video-Based Pig Recognition with Feature-Integrated Transfer Learning.
Proceedings of the Biometric Recognition - 13th Chinese Conference, 2018

2017
Assistance of Speech Recognition in Noisy Environment with Sentence Level Lip-Reading.
Proceedings of the Biometric Recognition - 12th Chinese Conference, 2017

Prioritized Grid Highway Long Short-Term Memory-Based Universal Background Model for Speaker Verification.
Proceedings of the Biometric Recognition - 12th Chinese Conference, 2017

2016
User Identity Linkage by Latent User Space Modelling.
Proceedings of the 22nd ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, 2016

2015
OptRS: An Optimized Algorithm Based on CRS Codes in Big Data Storage Systems.
Proceedings of the Algorithms and Architectures for Parallel Processing, 2015

DistDL: A Distributed Deep Learning Service Schema with GPU Accelerating.
Proceedings of the Web Technologies and Applications - 17th Asia-PacificWeb Conference, 2015

qSDS: A QoS-Aware I/O Scheduling Framework towards Software Defined Storage.
Proceedings of the Eleventh ACM/IEEE Symposium on Architectures for networking and communications systems, 2015

2013
Robot: An efficient model for big data storage systems based on erasure coding.
Proceedings of the 2013 IEEE International Conference on Big Data (IEEE BigData 2013), 2013

2012
C-IRR: An Adaptive Engine for Cloud Storage Provisioning Determined by Economic Models with Workload Burstiness Consideration.
Proceedings of the Seventh IEEE International Conference on Networking, 2012

A Quantitative Evaluation Model for Choosing Efficient Redundancy Strategies over Clouds.
Proceedings of the Seventh IEEE International Conference on Networking, 2012

Enhancing shared RAID performance through online profiling.
Proceedings of the IEEE 28th Symposium on Mass Storage Systems and Technologies, 2012

Reducing Storage Overhead with Small Write Bottleneck Avoiding in Cloud RAID System.
Proceedings of the 13th ACM/IEEE International Conference on Grid Computing, 2012

pCloud: An Adaptive I/O Resource Allocation Algorithm with Revenue Consideration over Public Clouds.
Proceedings of the Advances in Grid and Pervasive Computing - 7th International Conference, 2012

RO-BURST: A Robust Virtualization Cost Model for Workload Consolidation over Clouds.
Proceedings of the 12th IEEE/ACM International Symposium on Cluster, 2012

2011
Optimizing storage performance in public cloud platforms.
J. Zhejiang Univ. Sci. C, 2011

2010
A Fine-Grained Data Reconstruction Algorithm for Solid-State Disks.
Proceedings of the Fifth International Conference on Networking, Architecture, and Storage, 2010

Middleware enabled data sharing on cloud storage services.
Proceedings of the 5th International Workshop on Middleware for Service Oriented Computing, 2010

Avoiding performance fluctuation in cloud storage.
Proceedings of the 2010 International Conference on High Performance Computing, 2010

Data Mining of Mass Storage Based on Cloud Computing.
Proceedings of the GCC 2010, 2010

TRACER: A Trace Replay Tool to Evaluate Energy-Efficiency of Mass Storage Systems.
Proceedings of the 2010 IEEE International Conference on Cluster Computing, 2010


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