Jing Xiao

Affiliations:
  • PingAn Technology, Shenzhen, China


According to our database1, Jing Xiao authored at least 204 papers between 2016 and 2022.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

Legend:

Book 
In proceedings 
Article 
PhD thesis 
Other 

Links

Online presence:

On csauthors.net:

Bibliography

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

r-G2P: Evaluating and Enhancing Robustness of Grapheme to Phoneme Conversion by Controlled noise introducing and Contextual information incorporation.
CoRR, 2022

nnSpeech: Speaker-Guided Conditional Variational Autoencoder for Zero-shot Multi-speaker Text-to-Speech.
CoRR, 2022

AVQVC: One-shot Voice Conversion by Vector Quantization with applying contrastive learning.
CoRR, 2022

Lumbar Bone Mineral Density Estimation from Chest X-ray Images: Anatomy-aware Attentive Multi-ROI Modeling.
CoRR, 2022

2021
Learning From Multiple Datasets With Heterogeneous and Partial Labels for Universal Lesion Detection in CT.
IEEE Trans. Medical Imaging, 2021

Contour Transformer Network for One-Shot Segmentation of Anatomical Structures.
IEEE Trans. Medical Imaging, 2021

Lesion-Harvester: Iteratively Mining Unlabeled Lesions and Hard-Negative Examples at Scale.
IEEE Trans. Medical Imaging, 2021

Using BI-RADS Stratifications as Auxiliary Information for Breast Masses Classification in Ultrasound Images.
IEEE J. Biomed. Health Informatics, 2021

DeepPrognosis: Preoperative prediction of pancreatic cancer survival and surgical margin via comprehensive understanding of dynamic contrast-enhanced CT imaging and tumor-vascular contact parsing.
Medical Image Anal., 2021

MommiNet-v2: Mammographic multi-view mass identification networks.
Medical Image Anal., 2021

A disentangled generative model for disease decomposition in chest X-rays via normal image synthesis.
Medical Image Anal., 2021

DeepTarget: Gross tumor and clinical target volume segmentation in esophageal cancer radiotherapy.
Medical Image Anal., 2021

A deep learning pipeline for localization, differentiation, and uncertainty estimation of liver lesions using multi-phasic and multi-sequence MRI.
CoRR, 2021

Accurate and Generalizable Quantitative Scoring of Liver Steatosis from Ultrasound Images via Scalable Deep Learning.
CoRR, 2021

DeepStationing: Thoracic Lymph Node Station Parsing in CT Scans using Anatomical Context Encoding and Key Organ Auto-Search.
CoRR, 2021

AdaK-NER: An Adaptive Top-K Approach for Named Entity Recognition with Incomplete Annotations.
CoRR, 2021

A Flexible Three-Dimensional Hetero-phase Computed Tomography Hepatocellular Carcinoma (HCC) Detection Algorithm for Generalizable and Practical HCC Screening.
CoRR, 2021

Federated Learning with Dynamic Transformer for Text to Speech.
CoRR, 2021

Speech2Video: Cross-Modal Distillation for Speech to Video Generation.
CoRR, 2021

Variational Information Bottleneck for Effective Low-resource Audio Classification.
CoRR, 2021

Dropout Regularization for Self-Supervised Learning of Transformer Encoder Speech Representation.
CoRR, 2021

Learning from Subjective Ratings Using Auto-Decoded Deep Latent Embeddings.
CoRR, 2021

Deep Implicit Statistical Shape Models for 3D Medical Image Delineation.
CoRR, 2021

NVAE-GAN Based Approach for Unsupervised Time Series Anomaly Detection.
CoRR, 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

LS-DST: Long and Sparse Dialogue State Tracking with Smart History Collector in Insurance Marketing.
Proceedings of the SIGIR '21: The 44th International ACM SIGIR Conference on Research and Development in Information Retrieval, 2021

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

Residual Recurrent CRNN for End-to-End Optical Music Recognition on Monophonic Scores.
Proceedings of the MMPT@ICMR2021: Proceedings of the 2021 Workshop on Multi-Modal Pre-Training for Multimedia Understanding, 2021

Scalable Semi-supervised Landmark Localization for X-ray Images Using Few-Shot Deep Adaptive Graph.
Proceedings of the Deep Generative Models, and Data Augmentation, Labelling, and Imperfections, 2021

Semi-supervised Learning for Bone Mineral Density Estimation in Hip X-Ray Images.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2021 - 24th International Conference, Strasbourg, France, September 27, 2021

BI-RADS Classification of Calcification on Mammograms.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2021 - 24th International Conference, Strasbourg, France, September 27, 2021

Effective Pancreatic Cancer Screening on Non-contrast CT Scans via Anatomy-Aware Transformers.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2021 - 24th International Conference, Strasbourg, France, September 27, 2021

Opportunistic Screening of Osteoporosis Using Plain Film Chest X-Ray.
Proceedings of the Predictive Intelligence in Medicine - 4th International Workshop, 2021

Lesion Segmentation and RECIST Diameter Prediction via Click-Driven Attention and Dual-Path Connection.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2021 - 24th International Conference, Strasbourg, France, September 27, 2021

Weakly-Supervised Universal Lesion Segmentation with Regional Level Set Loss.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2021 - 24th International Conference, Strasbourg, France, September 27, 2021

SAME: Deformable Image Registration Based on Self-supervised Anatomical Embeddings.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2021 - 24th International Conference, Strasbourg, France, September 27, 2021

Learning from Subjective Ratings Using Auto-Decoded Deep Latent Embeddings.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2021 - 24th International Conference, Strasbourg, France, September 27, 2021

Hetero-Modal Learning and Expansive Consistency Constraints for Semi-supervised Detection from Multi-sequence Data.
Proceedings of the Machine Learning in Medical Imaging - 12th International Workshop, 2021

Liver Tumor Localization and Characterization from Multi-phase MR Volumes Using Key-Slice Prediction: A Physician-Inspired Approach.
Proceedings of the Predictive Intelligence in Medicine - 4th International Workshop, 2021

DeepStationing: Thoracic Lymph Node Station Parsing in CT Scans Using Anatomical Context Encoding and Key Organ Auto-Search.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2021 - 24th International Conference, Strasbourg, France, September 27, 2021

Sequential Learning on Liver Tumor Boundary Semantics and Prognostic Biomarker Mining.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2021 - 24th International Conference, Strasbourg, France, September 27, 2021

Supervised Contrastive Pre-training forMammographic Triage Screening Models.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2021 - 24th International Conference, Strasbourg, France, September 27, 2021

Knowledge Distillation with Adaptive Asymmetric Label Sharpening for Semi-supervised Fracture Detection in Chest X-Rays.
Proceedings of the Information Processing in Medical Imaging, 2021

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

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

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

An Improved Single Step Non-Autoregressive Transformer for Automatic Speech Recognition.
Proceedings of the Interspeech 2021, 22nd Annual Conference of the International Speech Communication Association, Brno, Czechia, 30 August, 2021

Extending Pronunciation Dictionary with Automatically Detected Word Mispronunciations to Improve PAII's System for Interspeech 2021 Non-Native Child English Close Track ASR Challenge.
Proceedings of the Interspeech 2021, 22nd Annual Conference of the International Speech Communication Association, Brno, Czechia, 30 August, 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

ADKGN: An Attentive Dynamic Knowledge Graph Network for Sequential Recommendation.
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

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

Towards a Translation-Based Method for Dynamic Heterogeneous Network Embedding.
Proceedings of the ICC 2021, 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

Network Pruning Using Linear Dependency Analysis on Feature Maps.
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

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

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

CASS-NAT: CTC Alignment-Based Single Step Non-Autoregressive Transformer for Speech Recognition.
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

An Alignment-Agnostic Model for Chinese Text Error Correction.
Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2021, 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

3D Graph Anatomy Geometry-Integrated Network for Pancreatic Mass Segmentation, Diagnosis, and Quantitative Patient Management.
Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2021

Automatic Vertebra Localization and Identification in CT by Spine Rectification and Anatomically-Constrained Optimization.
Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2021

Leveraging Large-Scale Weakly Labeled Data for Semi-Supervised Mass Detection in Mammograms.
Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2021

Deep Lesion Tracker: Monitoring Lesions in 4D Longitudinal Imaging Studies.
Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 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

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

A Neural Transition-based Joint Model for Disease Named Entity Recognition and Normalization.
Proceedings of the 59th Annual Meeting of the Association for Computational Linguistics and the 11th International Joint Conference on Natural Language Processing, 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

Window Loss for Bone Fracture Detection and Localization in X-ray Images with Point-based Annotation.
Proceedings of the Thirty-Fifth AAAI Conference on Artificial Intelligence, 2021

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

Knowledge Distillation with Adaptive Asymmetric Label Sharpening for Semi-supervised Fracture Detection in Chest X-rays.
CoRR, 2020

Fully-Automated Liver Tumor Localization and Characterization from Multi-Phase MR Volumes Using Key-Slice ROI Parsing: A Physician-Inspired Approach.
CoRR, 2020

A New Window Loss Function for Bone Fracture Detection and Localization in X-ray Images with Point-based Annotation.
CoRR, 2020

Self-supervised Learning of Pixel-wise Anatomical Embeddings in Radiological Images.
CoRR, 2020

Residual Recurrent CRNN for End-to-End Optical Music Recognition on Monophonic Scores.
CoRR, 2020

Melody Classification based on Performance Event Vector and BRNN.
CoRR, 2020

Learning from Multiple Datasets with Heterogeneous and Partial Labels for Universal Lesion Detection in CT.
CoRR, 2020

DeepPrognosis: Preoperative Prediction of Pancreatic Cancer Survival and Surgical Margin via Contrast-Enhanced CT Imaging.
CoRR, 2020

Robust Pancreatic Ductal Adenocarcinoma Segmentation with Multi-Institutional Multi-Phase Partially-Annotated CT Scans.
CoRR, 2020

DREAM: A Dynamic Relational-Aware Model for Social Recommendation.
CoRR, 2020

UBER-GNN: A User-Based Embeddings Recommendation based on Graph Neural Networks.
CoRR, 2020

Anatomy-Aware Siamese Network: Exploiting Semantic Asymmetry for Accurate Pelvic Fracture Detection in X-ray Images.
CoRR, 2020

Harvesting, Detecting, and Characterizing Liver Lesions from Large-scale Multi-phase CT Data via Deep Dynamic Texture Learning.
CoRR, 2020

Universal Lesion Detection by Learning from Multiple Heterogeneously Labeled Datasets.
CoRR, 2020

Detecting Scatteredly-Distributed, Small, andCritically Important Objects in 3D OncologyImaging via Decision Stratification.
CoRR, 2020

Co-Heterogeneous and Adaptive Segmentation from Multi-Source and Multi-Phase CT Imaging Data: A Study on Pathological Liver and Lesion Segmentation.
CoRR, 2020

Organ at Risk Segmentation for Head and Neck Cancer using Stratified Learning and Neural Architecture Search.
CoRR, 2020

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

Bone Suppression on Chest Radiographs With Adversarial Learning.
CoRR, 2020

Weakly-Supervised Lesion Segmentation on CT Scans using Co-Segmentation.
CoRR, 2020

A Heterogeneous Information Network based Cross Domain Insurance Recommendation System for Cold Start Users.
Proceedings of the 43rd International ACM SIGIR conference on research and development in Information Retrieval, 2020

DCDIR: A Deep Cross-Domain Recommendation System for Cold Start Users in Insurance Domain.
Proceedings of the 43rd International ACM SIGIR conference on research and development in Information Retrieval, 2020

GAN-based AI Drawing Board for Image Generation and Colorization.
Proceedings of the SIGGRAPH 2020: Special Interest Group on Computer Graphics and Interactive Techniques Conference, 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

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

Lyrics2Song: An Automatic Song Generator for Lyrics Input.
Proceedings of the 3rd IEEE Conference on Multimedia Information Processing and Retrieval, 2020

Lymph Node Gross Tumor Volume Detection and Segmentation via Distance-Based Gating Using 3D CT/PET Imaging in Radiotherapy.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2020, 2020

Robust Pancreatic Ductal Adenocarcinoma Segmentation with Multi-institutional Multi-phase Partially-Annotated CT Scans.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2020, 2020

DeepPrognosis: Preoperative Prediction of Pancreatic Cancer Survival and Surgical Margin via Contrast-Enhanced CT Imaging.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2020, 2020

MommiNet: Mammographic Multi-view Mass Identification Networks.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2020, 2020

One Click Lesion RECIST Measurement and Segmentation on CT Scans.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2020, 2020

E<sup>2</sup>Net: An Edge Enhanced Network for Accurate Liver and Tumor Segmentation on CT Scans.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2020, 2020

User-Guided Domain Adaptation for Rapid Annotation from User Interactions: A Study on Pathological Liver Segmentation.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2020, 2020

Learning to Segment Anatomical Structures Accurately from One Exemplar.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2020, 2020

Reliable Liver Fibrosis Assessment from Ultrasound Using Global Hetero-Image Fusion and View-Specific Parameterization.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2020, 2020

Lymph Node Gross Tumor Volume Detection in Oncology Imaging via Relationship Learning Using Graph Neural Network.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2020, 2020

Deep Volumetric Universal Lesion Detection Using Light-Weight Pseudo 3D Convolution and Surface Point Regression.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2020, 2020

Weakly Supervised Lesion Co-Segmentation on Ct Scans.
Proceedings of the 17th IEEE International Symposium on Biomedical Imaging, 2020

MLNET: An Adaptive Multiple Receptive-Field Attention Neural Network for Voice Activity Detection.
Proceedings of the Interspeech 2020, 2020

Improving Replay Detection System with Channel Consistency DenseNeXt for the ASVspoof 2019 Challenge.
Proceedings of the Interspeech 2020, 2020

Prosody Learning Mechanism for Speech Synthesis System Without Text Length Limit.
Proceedings of the Interspeech 2020, 2020

A Real-Time Robot-Based Auxiliary System for Risk Evaluation of COVID-19 Infection.
Proceedings of the Interspeech 2020, 2020

Evolutionary Algorithm Enhanced Neural Architecture Search for Text-Independent Speaker Verification.
Proceedings of the Interspeech 2020, 2020

Large-Scale Transfer Learning for Low-Resource Spoken Language Understanding.
Proceedings of the Interspeech 2020, 2020

Non-Parallel Voice Conversion with Fewer Labeled Data by Conditional Generative Adversarial Networks.
Proceedings of the Interspeech 2020, 2020

Nonparallel Emotional Speech Conversion Using VAE-GAN.
Proceedings of the Interspeech 2020, 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

Dual Encoder Fusion U-Net (DEFU-Net) for Cross-manufacturer Chest X-ray Segmentation.
Proceedings of the 25th International Conference on Pattern Recognition, 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

Flow-TTS: A Non-Autoregressive Network for Text to Speech Based on Flow.
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

MABEL: An AI-Powered Mammographic Breast Lesion Diagnostic System.
Proceedings of the 22nd IEEE International Conference on E-health Networking, 2020

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

Co-heterogeneous and Adaptive Segmentation from Multi-source and Multi-phase CT Imaging Data: A Study on Pathological Liver and Lesion Segmentation.
Proceedings of the Computer Vision - ECCV 2020, 2020

JSSR: A Joint Synthesis, Segmentation, and Registration System for 3D Multi-modal Image Alignment of Large-Scale Pathological CT Scans.
Proceedings of the Computer Vision - ECCV 2020, 2020

Structured Landmark Detection via Topology-Adapting Deep Graph Learning.
Proceedings of the Computer Vision - ECCV 2020, 2020

Anatomy-Aware Siamese Network: Exploiting Semantic Asymmetry for Accurate Pelvic Fracture Detection in X-Ray Images.
Proceedings of the Computer Vision - ECCV 2020, 2020

Organ at Risk Segmentation for Head and Neck Cancer Using Stratified Learning and Neural Architecture Search.
Proceedings of the 2020 IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2020

DREAM: A Dynamic Relation-Aware Model for Social Recommendation.
Proceedings of the CIKM '20: The 29th ACM International Conference on Information and Knowledge Management, 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

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

ULDor: A Universal Lesion Detector for CT Scans with Pseudo Masks and Hard Negative Example Mining.
CoRR, 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

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

XLSor: A Robust and Accurate Lung Segmentor on Chest X-Rays Using Criss-Cross Attention and Customized Radiorealistic Abnormalities Generation.
Proceedings of the International Conference on Medical Imaging with Deep Learning, 2019

CT Data Curation for Liver Patients: Phase Recognition in Dynamic Contrast-Enhanced CT.
Proceedings of the Domain Adaptation and Representation Transfer and Medical Image Learning with Less Labels and Imperfect Data, 2019

Weakly Supervised Universal Fracture Detection in Pelvic X-Rays.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2019, 2019

TUNA-Net: Task-Oriented UNsupervised Adversarial Network for Disease Recognition in Cross-domain Chest X-rays.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2019, 2019

Deep Esophageal Clinical Target Volume Delineation Using Encoded 3D Spatial Context of Tumors, Lymph Nodes, and Organs At Risk.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2019, 2019

Accurate Esophageal Gross Tumor Volume Segmentation in PET/CT Using Two-Stream Chained 3D Deep Network Fusion.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2019, 2019

Deep adversarial one-class learning for normal and abnormal chest radiograph classification.
Proceedings of the Medical Imaging 2019: Computer-Aided Diagnosis, 2019

CT-realistic data augmentation using generative adversarial network for robust lymph node segmentation.
Proceedings of the Medical Imaging 2019: Computer-Aided Diagnosis, 2019

Abnormal Chest X-Ray Identification With Generative Adversarial One-Class Classifier.
Proceedings of the 16th IEEE International Symposium on Biomedical Imaging, 2019

Cross-Lingual, Multi-Speaker Text-To-Speech Synthesis Using Neural Speaker Embedding.
Proceedings of the Interspeech 2019, 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

A Heterogeneous Conversational Recommender System for Financial Products.
Proceedings of the Second Workshop on Knowledge-aware and Conversational Recommender Systems, 2019

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

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

Accurate Weakly Supervised Deep Lesion Segmentation on CT Scans: Self-Paced 3D Mask Generation from RECIST.
CoRR, 2018

Attention-Guided Curriculum Learning for Weakly Supervised Classification and Localization of Thoracic Diseases on Chest Radiographs.
Proceedings of the Machine Learning in Medical Imaging - 9th International Workshop, 2018

Semi-automatic RECIST Labeling on CT Scans with Cascaded Convolutional Neural Networks.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2018, 2018

CT Image Enhancement Using Stacked Generative Adversarial Networks and Transfer Learning for Lesion Segmentation Improvement.
Proceedings of the Machine Learning in Medical Imaging - 9th International Workshop, 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

Accurate Weakly-Supervised Deep Lesion Segmentation Using Large-Scale Clinical Annotations: Slice-Propagated 3D Mask Generation from 2D RECIST.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2018, 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

City-Wide Influenza Forecasting based on Multi-Source Data.
Proceedings of the IEEE International Conference on Big Data (IEEE BigData 2018), 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


  Loading...