Search Results for author: Weiqing Wang

Found 18 papers, 4 papers with code

Waveform Boundary Detection for Partially Spoofed Audio

no code implementations1 Nov 2022 Zexin Cai, Weiqing Wang, Ming Li

The present paper proposes a waveform boundary detection system for audio spoofing attacks containing partially manipulated segments.

Boundary Detection

Target-Speaker Voice Activity Detection via Sequence-to-Sequence Prediction

no code implementations28 Oct 2022 Ming Cheng, Weiqing Wang, Yucong Zhang, Xiaoyi Qin, Ming Li

Target-speaker voice activity detection is currently a promising approach for speaker diarization in complex acoustic environments.

Action Detection Activity Detection +2

The DKU-DukeECE Diarization System for the VoxCeleb Speaker Recognition Challenge 2022

no code implementations4 Oct 2022 Weiqing Wang, Xiaoyi Qin, Ming Cheng, Yucong Zhang, Kangyue Wang, Ming Li

This paper discribes the DKU-DukeECE submission to the 4th track of the VoxCeleb Speaker Recognition Challenge 2022 (VoxSRC-22).

Action Detection Activity Detection +1

MMKGR: Multi-hop Multi-modal Knowledge Graph Reasoning

no code implementations3 Sep 2022 Shangfei Zheng, Weiqing Wang, Jianfeng Qu, Hongzhi Yin, Wei Chen, Lei Zhao

Multi-modal knowledge graphs (MKGs) include not only the relation triplets, but also related multi-modal auxiliary data (i. e., texts and images), which enhance the diversity of knowledge.

Knowledge Graphs Missing Elements +1

Disconnected Emerging Knowledge Graph Oriented Inductive Link Prediction

1 code implementation3 Sep 2022 Yufeng Zhang, Weiqing Wang, Hongzhi Yin, Pengpeng Zhao, Wei Chen, Lei Zhao

A more challenging scenario is that emerging KGs consist of only unseen entities, called as disconnected emerging KGs (DEKGs).

Contrastive Learning Inductive Link Prediction +1

Online Target Speaker Voice Activity Detection for Speaker Diarization

no code implementations13 Jul 2022 Weiqing Wang, Qingjian Lin, Ming Li

We iteratively extract the results for each block and update the target speaker embedding until reaching the end of the signal.

Action Detection Activity Detection +2

Simultaneous Speech Extraction for Multiple Target Speakers under the Meeting Scenarios(V1)

no code implementations17 Jun 2022 Bang Zeng, Weiqing Wang, Yuanyuan Bao, Ming Li

Recently, the target speech separation or extraction techniques under the meeting scenario have become a hot research trend.

Action Detection Activity Detection +3

Unsupervised Sentence Simplification via Dependency Parsing

1 code implementation10 Jun 2022 Vy Vo, Weiqing Wang, Wray Buntine

Text simplification is the task of rewriting a text so that it is readable and easily understood.

Dependency Parsing Sentence Embeddings +1

Paraphrasing Techniques for Maritime QA system

no code implementations21 Mar 2022 Fatemeh Shiri, Terry Yue Zhuo, Zhuang Li, Van Nguyen, Shirui Pan, Weiqing Wang, Reza Haffari, Yuan-Fang Li

In this paper, we investigate how to exploit paraphrasing methods for the automated generation of large-scale training datasets (in the form of paraphrased utterances and their corresponding logical forms in SQL format) and present our experimental results using real-world data in the maritime domain.

Low-Latency Online Speaker Diarization with Graph-Based Label Generation

no code implementations27 Nov 2021 Yucong Zhang, Qinjian Lin, Weiqing Wang, Lin Yang, Xuyang Wang, Junjie Wang, Ming Li

To ensure the low latency in the online setting, we introduce a variant of AHC, namely chkpt-AHC, to cluster the speakers.

speaker-diarization Speaker Diarization

Task-wise Split Gradient Boosting Trees for Multi-center Diabetes Prediction

no code implementations16 Aug 2021 Mingcheng Chen, Zhenghui Wang, Zhiyun Zhao, Weinan Zhang, Xiawei Guo, Jian Shen, Yanru Qu, Jieli Lu, Min Xu, Yu Xu, Tiange Wang, Mian Li, Wei-Wei Tu, Yong Yu, Yufang Bi, Weiqing Wang, Guang Ning

To tackle the above challenges, we employ gradient boosting decision trees (GBDT) to handle data heterogeneity and introduce multi-task learning (MTL) to solve data insufficiency.

Diabetes Prediction Multi-Task Learning

Temporal Cascade and Structural Modelling of EHRs for Granular Readmission Prediction

no code implementations4 Feb 2021 Bhagya Hettige, Weiqing Wang, Yuan-Fang Li, Suong Le, Wray Buntine

Although a point process (e. g., Hawkes process) is able to model a cascade temporal relationship, it strongly relies on a prior generative process assumption.

Decision Making Point Processes +1

Learning Transferrable Parameters for Long-tailed Sequential User Behavior Modeling

no code implementations22 Oct 2020 Jianwen Yin, Chenghao Liu, Weiqing Wang, Jianling Sun, Steven C. H. Hoi

Sequential user behavior modeling plays a crucial role in online user-oriented services, such as product purchasing, news feed consumption, and online advertising.

Transfer Learning

Decentralized Knowledge Graph Representation Learning

no code implementations16 Oct 2020 Lingbing Guo, Weiqing Wang, Zequn Sun, Chenghao Liu, Wei Hu

Knowledge graph (KG) representation learning methods have achieved competitive performance in many KG-oriented tasks, among which the best ones are usually based on graph neural networks (GNNs), a powerful family of networks that learns the representation of an entity by aggregating the features of its neighbors and itself.

Entity Alignment Graph Representation Learning

$\mathtt{MedGraph:}$ Structural and Temporal Representation Learning of Electronic Medical Records

1 code implementation8 Dec 2019 Bhagya Hettige, Yuan-Fang Li, Weiqing Wang, Suong Le, Wray Buntine

To address these limitations, we present $\mathtt{MedGraph}$, a supervised EMR embedding method that captures two types of information: (1) the visit-code associations in an attributed bipartite graph, and (2) the temporal sequencing of visits through a point process.

Point Processes Representation Learning

Gaussian Embedding of Large-scale Attributed Graphs

1 code implementation2 Dec 2019 Bhagya Hettige, Yuan-Fang Li, Weiqing Wang, Wray Buntine

Graph embedding methods transform high-dimensional and complex graph contents into low-dimensional representations.

Graph Embedding Link Prediction +1

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