Search Results for author: Weiqing Wang

Found 28 papers, 7 papers with code

HYDRA: A Hyper Agent for Dynamic Compositional Visual Reasoning

no code implementations19 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.

Reinforcement Learning (RL) Visual Reasoning

OntoMedRec: Logically-Pretrained Model-Agnostic Ontology Encoders for Medication Recommendation

no code implementations29 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.

Agent-OM: Leveraging LLM Agents for Ontology Matching

no code implementations1 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.

Ontology Matching Retrieval

Hypergraph Node Representation Learning with One-Stage Message Passing

no code implementations1 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.

Representation Learning

End-to-end Online Speaker Diarization with Target Speaker Tracking

no code implementations12 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.

Action Detection Activity Detection +3

The DKU-DUKEECE System for the Manipulation Region Location Task of ADD 2023

no code implementations20 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).

Boundary Detection DeepFake Detection +2

Generating Faithful Text From a Knowledge Graph with Noisy Reference Text

no code implementations12 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.

Contrastive Learning Hallucination +2

Newton-Cotes Graph Neural Networks: On the Time Evolution of Dynamic Systems

1 code implementation24 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.

DNG: Taxonomy Expansion by Exploring the Intrinsic Directed Structure on Non-gaussian Space

1 code implementation22 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.

Taxonomy Expansion

HiTSKT: A Hierarchical Transformer Model for Session-Aware Knowledge Tracing

no code implementations23 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.

Knowledge Tracing

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 +2

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 +2

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

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 +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 +2

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.

Clustering speaker-diarization +1

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

1 code implementation16 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

$\mathtt{MedGraph:}$ 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.

Attribute Point Processes +1

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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