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Wen Hua

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Associate Professor

The Hong Kong Polytechnic University

Hong Kong

Research Interests

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Professors in Artificial Intelligence

Recent Grants

Grant: Close

Information Extraction from Large-Scale Low-Quality Data

Open Date: 2021-01-01

Close Date: 2023-01-01

Grant: Close

ARC Training Centre for Information Resilience

Open Date: 2021-01-01

Close Date: 2026-01-01

Grant: Close

Context-aware Representation Learning for Code Analysis

Open Date: 2021-01-01

Close Date: 2024-01-01

Grant: Close

Making Spatiotemporal Data More Useful: An Entity Linking Approach

Open Date: 2020-01-01

Close Date: 2023-01-01

Grant: Close

Collaborative Lab of Health Informatics with Neusoft

Open Date: 2019-01-01

Close Date: 2022-01-01

Articles (20)

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Collaborators (2)

Fengmei Jin

Research Assistant Professor

The Hong Kong Polytechnic University

HONG KONG

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Jiwon Kim

University of Queensland

AUSTRALIA

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Wen Hua

Research Interests

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Recent Grants

Articles (20)

CLMM: Uncertainty-Aware Map-Matching for Bluetooth Data Through Contrastive Learning

Efficient Frequency-Based Randomization for Spatial Trajectories Under Differential Privacy

Approximate Skyline Index for Constrained Shortest Pathfinding with Theoretical Guarantee

Cognition2Vocation: meta-learning via ConvNets and continuous transformers

Evidence Reasoning and Curriculum Learning for Document-Level Relation Extraction

Improving the Robustness of Knowledge-Grounded Dialogue via Contrastive Learning

Preserving Location Privacy with Semantic-Aware Indistinguishability

Short-Text Author Linking Through Multi-Facet Temporal-Textual Embedding (Extended Abstract)

SoulMate: Short-Text Author Linking Through Multi-Aspect Temporal-Textual Embedding (Extended Abstract)

Value-Wise ConvNet for Transformer Models: An Infinite Time-Aware Recommender System (Extended Abstract)

A Noise-Aware Method With Type Constraint Pattern for Neural Relation Extraction

A Survey and Experimental Study on Privacy-Preserving Trajectory Data Publishing

Auto-regressive extractive summarization with replacement

Blocker and Matcher Can Mutually Benefit: A Co-Learning Framework for Low-Resource Entity Resolution

Dependency-aware Self-training for Entity Alignment

EmoDNN: understanding emotions from short texts through a deep neural network ensemble

Map-matching on Wireless Traffic Sensor Data with a Sequence-to-Sequence Model

TEA: Time-aware Entity Alignment in Knowledge Graphs

Trajectory Representation Learning Based on Road Network Partition for Similarity Computation

Value-Wise ConvNet for Transformer Models: An Infinite Time-Aware Recommender System

Collaborators (2)

Fengmei Jin

Jiwon Kim

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