1 code implementation • 2 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.
Ranked #1 on Link Prediction on Pubmed (nonstandard variant)
1 code implementation • 8 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.
no code implementations • 16 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.
no code implementations • 22 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.
no code implementations • 4 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.
1 code implementation • 16 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.
no code implementations • 5 Sep 2021 • Weiqing Wang, Danwei Cai, Qingjian Lin, Lin Yang, Junjie Wang, Jin Wang, Ming Li
This report describes the submission of the DKU-DukeECE-Lenovo team to the VoxCeleb Speaker Recognition Challenge (VoxSRC) 2021 track 4.
no code implementations • 27 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.
no code implementations • 6 Feb 2022 • Weiqing Wang, Xiaoyi Qin, Ming Li
The multi-channel TS-VAD further reduces the DER by 28% and achieves a DER of 2. 26%.
no code implementations • 21 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.
1 code implementation • 10 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.
no code implementations • 13 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.
no code implementations • 3 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.
1 code implementation • 3 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).
no code implementations • 4 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).
no code implementations • 28 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.
no code implementations • 1 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.
no code implementations • 23 Dec 2022 • Fucai Ke, Weiqing Wang, Weicong Tan, Lan Du, Yuan Jin, Yujin Huang, Hongzhi Yin
Knowledge tracing (KT) aims to leverage students' learning histories to estimate their mastery levels on a set of pre-defined skills, based on which the corresponding future performance can be accurately predicted.
no code implementations • 30 Jan 2023 • Terry Yue Zhuo, Zhuang Li, Yujin Huang, Fatemeh Shiri, Weiqing Wang, Gholamreza Haffari, Yuan-Fang Li
Semantic parsing is a technique aimed at constructing a structured representation of the meaning of a natural-language question.
1 code implementation • 22 Feb 2023 • Songlin Zhai, Weiqing Wang, YuanFang Li, Yuan Meng
Specifically, the inherited feature originates from "parent" nodes and is weighted by an inheritance factor.
1 code implementation • 24 May 2023 • Lingbing Guo, Weiqing Wang, Zhuo Chen, Ningyu Zhang, Zequn Sun, Yixuan Lai, Qiang Zhang, Huajun Chen
Reasoning system dynamics is one of the most important analytical approaches for many scientific studies.
no code implementations • 12 Aug 2023 • Tahsina Hashem, Weiqing Wang, Derry Tanti Wijaya, Mohammed Eunus Ali, Yuan-Fang Li
Knowledge Graph (KG)-to-Text generation aims at generating fluent natural-language text that accurately represents the information of a given knowledge graph.
no code implementations • 15 Aug 2023 • Ming Cheng, Weiqing Wang, Xiaoyi Qin, Yuke Lin, Ning Jiang, Guoqing Zhao, Ming Li
This paper describes the DKU-MSXF submission to track 4 of the VoxCeleb Speaker Recognition Challenge 2023 (VoxSRC-23).
no code implementations • 20 Aug 2023 • Zexin Cai, Weiqing Wang, Yikang Wang, Ming Li
This paper introduces our system designed for Track 2, which focuses on locating manipulated regions, in the second Audio Deepfake Detection Challenge (ADD 2023).
no code implementations • 12 Oct 2023 • Weiqing Wang, Ming Li
During the inference process, we employ a front-end model to extract the frame-level speaker embeddings for each coming block of a signal.
no code implementations • 1 Dec 2023 • Shilin Qu, Weiqing Wang, Yuan-Fang Li, Xin Zhou, Fajie Yuan
HGraphormer injects the hypergraph structure information (local information) into Transformers (global information) by combining the attention matrix and hypergraph Laplacian.
no code implementations • 1 Dec 2023 • Zhangcheng Qiang, Weiqing Wang, Kerry Taylor
Ontology matching (OM) enables semantic interoperability between different ontologies and resolves their conceptual heterogeneity by aligning related entities.
no code implementations • 29 Jan 2024 • Weicong Tan, Weiqing Wang, Xin Zhou, Wray Buntine, Gordon Bingham, Hongzhi Yin
Most existing medication recommendation models learn representations for medical concepts based on electronic health records (EHRs) and make recommendations with learnt representations.
no code implementations • 19 Mar 2024 • Fucai Ke, Zhixi Cai, Simindokht Jahangard, Weiqing Wang, Pari Delir Haghighi, Hamid Rezatofighi
Recent advances in visual reasoning (VR), particularly with the aid of Large Vision-Language Models (VLMs), show promise but require access to large-scale datasets and face challenges such as high computational costs and limited generalization capabilities.