b'Jing Xiao'

research

∙ 05/26/2022

A Fair Federated Learning Framework With Reinforcement Learning

Federated learning (FL) is a paradigm where many clients collaboratively...

Yaqi Sun, et al. ∙

research

∙ 05/26/2022

Leveraging Causal Inference for Explainable Automatic Program Repair

Deep learning models have made significant progress in automatic program...

Jianzong Wang, et al. ∙

research

∙ 05/26/2022

Federated Non-negative Matrix Factorization for Short Texts Topic Modeling with Mutual Information

Non-negative matrix factorization (NMF) based topic modeling is widely u...

Shijing Si, et al. ∙

research

∙ 05/26/2022

Federated Split BERT for Heterogeneous Text Classification

Pre-trained BERT models have achieved impressive performance in many nat...

Zhengyang Li, et al. ∙

research

∙ 05/26/2022

DT-SV: A Transformer-based Time-domain Approach for Speaker Verification

Speaker verification (SV) aims to determine whether the speaker's identi...

Nan Zhang, et al. ∙

research

∙ 05/26/2022

QSpeech: Low-Qubit Quantum Speech Application Toolkit

Quantum devices with low qubits are common in the Noisy Intermediate-Sca...

Zhenhou Hong, et al. ∙

research

∙ 05/26/2022

Cali3F: Calibrated Fast Fair Federated Recommendation System

The increasingly stringent regulations on privacy protection have sparke...

Zhitao Zhu, et al. ∙

research

∙ 05/25/2022

Augmentation-induced Consistency Regularization for Classification

Deep neural networks have become popular in many supervised learning tas...

Jianhan Wu, et al. ∙

research

∙ 05/24/2022

Improving Human Image Synthesis with Residual Fast Fourier Transformation and Wasserstein Distance

With the rapid development of the Metaverse, virtual humans have emerged...

Jianhan Wu, et al. ∙

research

∙ 05/24/2022

SUSing: SU-net for Singing Voice Synthesis

Singing voice synthesis is a generative task that involves multi-dimensi...

Xulong Zhang, et al. ∙

research

∙ 05/24/2022

TDASS: Target Domain Adaptation Speech Synthesis Framework for Multi-speaker Low-Resource TTS

Recently, synthesizing personalized speech by text-to-speech (TTS) appli...

Xulong Zhang, et al. ∙

research

∙ 05/24/2022

MetaSID: Singer Identification with Domain Adaptation for Metaverse

Metaverse has stretched the real world into unlimited space. There will ...

Xulong Zhang, et al. ∙

research

∙ 05/24/2022

Singer Identification for Metaverse with Timbral and Middle-Level Perceptual Features

Metaverse is an interactive world that combines reality and virtuality, ...

Xulong Zhang, et al. ∙

research

∙ 05/24/2022

Adaptive Few-Shot Learning Algorithm for Rare Sound Event Detection

Sound event detection is to infer the event by understanding the surroun...

Chendong Zhao, et al. ∙

research

∙ 05/11/2022

Spatial-Temporal Space Hand-in-Hand: Spatial-Temporal Video Super-Resolution via Cycle-Projected Mutual Learning

Spatial-Temporal Video Super-Resolution (ST-VSR) aims to generate super-...

Mengshun Hu, et al. ∙

research

∙ 05/11/2022

Efficient Distributed Framework for Collaborative Multi-Agent Reinforcement Learning

Multi-agent reinforcement learning for incomplete information environmen...

Shuhan Qi, et al. ∙

research

∙ 05/09/2022

Localized Adversarial Domain Generalization

Deep learning methods can struggle to handle domain shifts not seen in t...

Wei Zhu, et al. ∙

research

∙ 04/08/2022

Adding Connectionist Temporal Summarization into Conformer to Improve Its Decoder Efficiency For Speech Recognition

The Conformer model is an excellent architecture for speech recognition ...

Nick J. C. Wang, et al. ∙

research

∙ 04/08/2022

A Study of Different Ways to Use The Conformer Model For Spoken Language Understanding

SLU combines ASR and NLU capabilities to accomplish speech-to-intent und...

Nick J. C. Wang, et al. ∙

research

∙ 02/24/2022

Self-Attention for Incomplete Utterance Rewriting

Incomplete utterance rewriting (IUR) has recently become an essential ta...

Yong Zhang, et al. ∙

research

∙ 02/23/2022

Towards Speaker Age Estimation with Label Distribution Learning

Existing methods for speaker age estimation usually treat it as a multi-...

Shijing Si, et al. ∙

research

∙ 02/22/2022

DRVC: A Framework of Any-to-Any Voice Conversion with Self-Supervised Learning

Any-to-any voice conversion problem aims to convert voices for source an...

Qiqi Wang, et al. ∙

research

∙ 02/22/2022

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

Multi-speaker text-to-speech (TTS) using a few adaption data is a challe...

Botao Zhao, et al. ∙

research

∙ 02/21/2022

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

Grapheme-to-phoneme (G2P) conversion is the process of converting the wr...

Chendong Zhao, et al. ∙

research

∙ 02/21/2022

AVQVC: One-shot Voice Conversion by Vector Quantization with applying contrastive learning

Voice Conversion(VC) refers to changing the timbre of a speech while ret...

Huaizhen Tang, et al. ∙

research

∙ 01/05/2022

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

Osteoporosis is a common chronic metabolic bone disease that is often un...

Fakai Wang, et al. ∙

research

∙ 12/16/2021

Coherence Learning using Keypoint-based Pooling Network for Accurately Assessing Radiographic Knee Osteoarthritis

Knee osteoarthritis (OA) is a common degenerate joint disorder that affe...

Kang Zheng, et al. ∙

research

∙ 10/17/2021

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

Objectives: to propose a fully-automatic computer-aided diagnosis (CAD) ...

Peng Wang, et al. ∙

research

∙ 10/12/2021

Accurate and Generalizable Quantitative Scoring of Liver Steatosis from Ultrasound Images via Scalable Deep Learning

Background Aims: Hepatic steatosis is a major cause of chronic liver...

Bowen Li, et al. ∙

research

∙ 10/11/2021

Multi-institutional Validation of Two-Streamed Deep Learning Method for Automated Delineation of Esophageal Gross Tumor Volume using planning-CT and FDG-PETCT

Background: The current clinical workflow for esophageal gross tumor vol...

Xianghua Ye, et al. ∙

research

∙ 09/23/2021

SAME: Deformable Image Registration based on Self-supervised Anatomical Embeddings

In this work, we introduce a fast and accurate method for unsupervised 3...

Fengze Liu, et al. ∙

research

∙ 09/20/2021

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

Lymph node station (LNS) delineation from computed tomography (CT) scans...

Dazhou Guo, et al. ∙

research

∙ 09/11/2021

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

State-of-the-art Named Entity Recognition(NER) models rely heavily on la...

Hongtao Ruan, et al. ∙

research

∙ 08/17/2021

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

Hepatocellular carcinoma (HCC) can be potentially discovered from abdomi...

Chi-Tung Cheng, et al. ∙

research

∙ 07/10/2021

Speech2Video: Cross-Modal Distillation for Speech to Video Generation

This paper investigates a novel task of talking face video generation so...

Shijing Si, et al. ∙

research

∙ 07/10/2021

Variational Information Bottleneck for Effective Low-resource Audio Classification

Large-scale deep neural networks (DNNs) such as convolutional neural net...

Shijing Si, et al. ∙

research

∙ 07/09/2021

Dropout Regularization for Self-Supervised Learning of Transformer Encoder Speech Representation

Predicting the altered acoustic frames is an effective way of self-super...

Jian Luo, et al. ∙

research

∙ 06/18/2021

An Improved Single Step Non-autoregressive Transformer for Automatic Speech Recognition

Non-autoregressive mechanisms can significantly decrease inference time ...

Ruchao Fan, et al. ∙

research

∙ 05/05/2021

Lesion Segmentation and RECIST Diameter Prediction via Click-driven Attention and Dual-path Connection

Measuring lesion size is an important step to assess tumor growth and mo...

Youbao Tang, et al. ∙

research

∙ 05/03/2021

Weakly-Supervised Universal Lesion Segmentation with Regional Level Set Loss

Accurately segmenting a variety of clinically significant lesions from w...

Youbao Tang, et al. ∙

research

∙ 04/29/2021

Scalable Semi-supervised Landmark Localization for X-ray Images using Few-shot Deep Adaptive Graph

Landmark localization plays an important role in medical image analysis....

Xiao-Yun Zhou, et al. ∙

research

∙ 04/15/2021

An Alignment-Agnostic Model for Chinese Text Error Correction

This paper investigates how to correct Chinese text errors with types of...

Liying Zheng, et al. ∙

research

∙ 04/12/2021

Learning from Subjective Ratings Using Auto-Decoded Deep Latent Embeddings

Depending on the application, radiological diagnoses can be associated w...

Bowen Li, et al. ∙

research

∙ 04/07/2021

Deep Implicit Statistical Shape Models for 3D Medical Image Delineation

3D delineation of anatomical structures is a cardinal goal in medical im...

Ashwin Raju, et al. ∙

research

∙ 04/05/2021

Opportunistic Screening of Osteoporosis Using Plain Film Chest X-ray

Osteoporosis is a common chronic metabolic bone disease that is often un...

Fakai Wang, et al. ∙

research

∙ 03/24/2021

Semi-Supervised Learning for Bone Mineral Density Estimation in Hip X-ray Images

Bone mineral density (BMD) is a clinically critical indicator of osteopo...

Kang Zheng, et al. ∙

research

∙ 03/24/2021

Hetero-Modal Learning and Expansive Consistency Constraints for Semi-Supervised Detection from Multi-Sequence Data

Lesion detection serves a critical role in early diagnosis and has been ...

Bolin Lai, et al. ∙

research

∙ 03/09/2021

Sequential Learning on Liver Tumor Boundary Semantics and Prognostic Biomarker Mining

The boundary of tumors (hepatocellular carcinoma, or HCC) contains rich ...

Jieneng Chen, et al. ∙

research

∙ 02/26/2021

Efficient Client Contribution Evaluation for Horizontal Federated Learning

In federated learning (FL), fair and accurate measurement of the contrib...

Jie Zhao, et al. ∙

research

∙ 02/24/2021

A Quantitative Metric for Privacy Leakage in Federated Learning

In the federated learning system, parameter gradients are shared among p...

Yong Liu, et al. ∙

Jing Xiao

Featured Co-authors