Search Results for author: Ning Jiang

Found 30 papers, 6 papers with code

TEMP: Taxonomy Expansion with Dynamic Margin Loss through Taxonomy-Paths

1 code implementation EMNLP 2021 Zichen Liu, Hongyuan Xu, Yanlong Wen, Ning Jiang, Haiying Wu, Xiaojie Yuan

As an essential form of knowledge representation, taxonomies are widely used in various downstream natural language processing tasks.

Position Taxonomy Expansion

SELM: Speech Enhancement Using Discrete Tokens and Language Models

no code implementations15 Dec 2023 Ziqian Wang, Xinfa Zhu, Zihan Zhang, YuanJun Lv, Ning Jiang, Guoqing Zhao, Lei Xie

Given the intrinsic similarity between speech generation and speech enhancement, harnessing semantic information holds potential advantages for speech enhancement tasks.

Self-Supervised Learning Speech Enhancement

R2-Talker: Realistic Real-Time Talking Head Synthesis with Hash Grid Landmarks Encoding and Progressive Multilayer Conditioning

no code implementations9 Dec 2023 Zhiling Ye, LiangGuo Zhang, Dingheng Zeng, Quan Lu, Ning Jiang

This approach losslessly encodes landmark structures as conditional features, decoupling input diversity, and conditional spaces by mapping arbitrary landmarks to a unified feature space.

Computational Efficiency

Multi-Speaker Expressive Speech Synthesis via Semi-supervised Contrastive Learning

no code implementations26 Oct 2023 Xinfa Zhu, Yuke Li, Yi Lei, Ning Jiang, Guoqing Zhao, Lei Xie

This paper aims to build an expressive TTS system for multi-speakers, synthesizing a target speaker's speech with multiple styles and emotions.

Contrastive Learning Expressive Speech Synthesis

Conversational Speech Recognition by Learning Audio-textual Cross-modal Contextual Representation

no code implementations22 Oct 2023 Kun Wei, Bei Li, Hang Lv, Quan Lu, Ning Jiang, Lei Xie

By introducing both cross-modal and conversational representations into the decoder, our model retains context over longer sentences without information loss, achieving relative accuracy improvements of 8. 8% and 23% on Mandarin conversation datasets HKUST and MagicData-RAMC, respectively, compared to the standard Conformer model.

Automatic Speech Recognition Automatic Speech Recognition (ASR) +1

Multi-objective Progressive Clustering for Semi-supervised Domain Adaptation in Speaker Verification

no code implementations7 Oct 2023 Ze Li, Yuke Lin, Ning Jiang, Xiaoyi Qin, Guoqing Zhao, Haiying Wu, Ming Li

Utilizing the pseudo-labeling algorithm with large-scale unlabeled data becomes crucial for semi-supervised domain adaptation in speaker verification tasks.

Clustering Denoising +3

Haha-Pod: An Attempt for Laughter-based Non-Verbal Speaker Verification

1 code implementation25 Sep 2023 Yuke Lin, Xiaoyi Qin, Ning Jiang, Guoqing Zhao, Ming Li

It is widely acknowledged that discriminative representation for speaker verification can be extracted from verbal speech.

Speaker Verification

VoxBlink: A Large Scale Speaker Verification Dataset on Camera

no code implementations14 Aug 2023 Yuke Lin, Xiaoyi Qin, Guoqing Zhao, Ming Cheng, Ning Jiang, Haiyang Wu, Ming Li

In this paper, we introduce a large-scale and high-quality audio-visual speaker verification dataset, named VoxBlink.

Speaker Recognition Speaker Verification

Artificial Neural Network Prediction of COVID-19 Daily Infection Count

no code implementations23 Jun 2023 Ning Jiang, Charles Kolozsvary, Yao Li

It is well known that the confirmed COVID-19 infection is only a fraction of the true fraction.

Multi-task Collaborative Pre-training and Individual-adaptive-tokens Fine-tuning: A Unified Framework for Brain Representation Learning

no code implementations20 Jun 2023 Ning Jiang, Gongshu Wang, Tianyi Yan

Structural magnetic resonance imaging (sMRI) provides accurate estimates of the brain's structural organization and learning invariant brain representations from sMRI is an enduring issue in neuroscience.

Anatomy Attribute +2

Connectional-Style-Guided Contextual Representation Learning for Brain Disease Diagnosis

no code implementations8 Jun 2023 Gongshu Wang, Ning Jiang, Yunxiao Ma, Tiantian Liu, Duanduan Chen, Jinglong Wu, Guoqi Li, Dong Liang, Tianyi Yan

In this work, we propose a connectional style contextual representation learning model (CS-CRL) to capture the intrinsic pattern of the brain, used for multiple brain disease diagnosis.

Representation Learning

MADI: Inter-domain Matching and Intra-domain Discrimination for Cross-domain Speech Recognition

no code implementations22 Feb 2023 Jiaming Zhou, Shiwan Zhao, Ning Jiang, Guoqing Zhao, Yong Qin

Unsupervised domain adaptation (UDA) aims to improve the performance on the unlabeled target domain by transferring knowledge from the source to the target domain.

Automatic Speech Recognition Automatic Speech Recognition (ASR) +3

MoSE: Modality Split and Ensemble for Multimodal Knowledge Graph Completion

1 code implementation17 Oct 2022 Yu Zhao, Xiangrui Cai, Yike Wu, Haiwei Zhang, Ying Zhang, Guoqing Zhao, Ning Jiang

Based on these embeddings, in the inference phase, we first make modality-split predictions and then exploit various ensemble methods to combine the predictions with different weights, which models the modality importance dynamically.

Knowledge Graph Completion Relation +1

Overcoming Language Priors in Visual Question Answering via Distinguishing Superficially Similar Instances

1 code implementation COLING 2022 Yike Wu, Yu Zhao, Shiwan Zhao, Ying Zhang, Xiaojie Yuan, Guoqing Zhao, Ning Jiang

In this work, we define the training instances with the same question type but different answers as \textit{superficially similar instances}, and attribute the language priors to the confusion of VQA model on such instances.

Attribute Question Answering +1

Improving Transformer-based Conversational ASR by Inter-Sentential Attention Mechanism

no code implementations2 Jul 2022 Kun Wei, Pengcheng Guo, Ning Jiang

Transformer-based models have demonstrated their effectiveness in automatic speech recognition (ASR) tasks and even shown superior performance over the conventional hybrid framework.

Automatic Speech Recognition Automatic Speech Recognition (ASR) +1

Open Access Dataset for Electromyography based Multi-code Biometric Authentication

no code implementations4 Jan 2022 Ashirbad Pradhan, Jiayuan He, Ning Jiang

In this study, forearm and wrist EMG data were collected from 43 participants over three different days with long separation while they performed static hand and wrist gestures.

Gesture Recognition

PPDL: Predicate Probability Distribution Based Loss for Unbiased Scene Graph Generation

no code implementations CVPR 2022 Wei Li, Haiwei Zhang, Qijie Bai, Guoqing Zhao, Ning Jiang, Xiaojie Yuan

However, the application value of SG on downstream tasks is severely limited by the predicate classification bias, which is caused by long-tailed data and presented as semantic bias of predicted relation predicates.

Graph Generation Predicate Classification +1

TPSNet: Reverse Thinking of Thin Plate Splines for Arbitrary Shape Scene Text Representation

1 code implementation25 Oct 2021 Wei Wang, Yu Zhou, Jiahao Lv, Dayan Wu, Guoqing Zhao, Ning Jiang, Weiping Wang

The research focus of scene text detection and recognition has shifted to arbitrary shape text in recent years, where the text shape representation is a fundamental problem.

Scene Text Detection Scene Text Recognition +2

Dense Semantic Contrast for Self-Supervised Visual Representation Learning

no code implementations16 Sep 2021 Xiaoni Li, Yu Zhou, Yifei Zhang, Aoting Zhang, Wei Wang, Ning Jiang, Haiying Wu, Weiping Wang

Concretely, these downstream tasks require more accurate representation, in other words, the pixels from the same object must belong to a shared semantic category, which is lacking in the previous methods.

Contrastive Learning Instance Segmentation +4

PIMNet: A Parallel, Iterative and Mimicking Network for Scene Text Recognition

1 code implementation9 Sep 2021 Zhi Qiao, Yu Zhou, Jin Wei, Wei Wang, Yuan Zhang, Ning Jiang, Hongbin Wang, Weiping Wang

In this paper, we propose a Parallel, Iterative and Mimicking Network (PIMNet) to balance accuracy and efficiency.

Scene Text Recognition

Mask is All You Need: Rethinking Mask R-CNN for Dense and Arbitrary-Shaped Scene Text Detection

no code implementations8 Sep 2021 Xugong Qin, Yu Zhou, Youhui Guo, Dayan Wu, Zhihong Tian, Ning Jiang, Hongbin Wang, Weiping Wang

We propose to use an MLP decoder instead of the "deconv-conv" decoder in the mask head, which alleviates the issue and promotes robustness significantly.

Instance Segmentation object-detection +4

Performance Optimization of Surface Electromyography (sEMG) based Biometric Sensing System for both Verification and Identification

no code implementations10 Mar 2021 Ashirbad Pradhan, Jiayuan He, Ning Jiang

Thus, the combination of the TD feature set and a four-channel sEMG system with one of the electrodes positioned on the FCU are recommended for optimal authentication performance.

The Incompressible Navier-Stokes-Fourier Limit from Boltzmann-Fermi-Dirac Equation

no code implementations4 Feb 2021 Ning Jiang, Linjie Xiong, Kai Zhou

We study Boltzmann-Fermi-Dirac equation when quantum effects are taken into account in dilute gas dynamics.

Analysis of PDEs

X-ray flares from the stellar tidal disruption by a candidate supermassive black hole binary

no code implementations22 Dec 2020 Xinwen Shu, Wenjie Zhang, Shuo Li, Ning Jiang, Liming Dou, Zhen Yan, Fu-Guo Xie, Rongfeng Shen, Luming Sun, Fukun Liu, Tinggui Wang

Optical transient surveys have led to the discovery of dozens of stellar tidal disruption events (TDEs) by massive black hole in the centers of galaxies.

High Energy Astrophysical Phenomena Astrophysics of Galaxies

Entropy inequality and energy dissipation of inertial Qian-Sheng model for nematic liquid crystals

no code implementations14 Dec 2020 Ning Jiang, Yi-Long Luo, Yangjun Ma, Shaojun Tang

For the inertial Qian-Sheng model of nematic liquid crystals in the $Q$-tensor framework, we illustrate the roles played by the entropy inequality and energy dissipation in the well-posedness of smooth solutions when we employ energy method.

Analysis of PDEs

GMH: A General Multi-hop Reasoning Model for KG Completion

no code implementations EMNLP 2021 Yao Zhang, Hongru Liang, Adam Jatowt, Wenqiang Lei, Xin Wei, Ning Jiang, Zhenglu Yang

To the best of our knowledge, there lacks a general framework that approaches multi-hop reasoning in mixed long-short distance reasoning scenarios.

Knowledge Graphs

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