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Weihua Li

Senior Lecturer

University of Auckland

New Zealand

Research Interests

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About

Weihua Li is a Senior Lecturer at Auckland University of Technology, New Zealand. His research interests encompass algorithm development, social network simulations, data augmentation, and forecasting models. Recent publications include works on the Besiege and Conquer Algorithm, LLM-Enhanced Agent-Based Influence Diffusion Simulation, and dynamic forecasting models for residential consumers.

Articles (22)

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Collaborators (6)

Matthew M. Y. Kuo

University of Auckland

NEW ZEALAND

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Minh Nguyen

Lecturer

Auckland University of Technology, New Zealand

NEW ZEALAND

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Shafiqur Rahman Tito

Lecturer

Manukau Institute of Technology

NEW ZEALAND

View details

Verica Rupar

Professor

Auckland University of Technology, New Zealand

NEW ZEALAND

View details

Quan Bai

Associate Professor

University of Auckland

NEW ZEALAND

View details

Parma Nand

Senior Lecturer

Auckland University of Technology, New Zealand

NEW ZEALAND

View details

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Weihua Li

Research Interests

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About

Articles (22)

A survey of multimodal recommender systems: methods, challenges, and future directions

Aspect-Aware Fair Influence Maximization: A Multiobjective Discrete Tree Seed Algorithm

Tunnel Vision in Online Discourse: Formalization and Entropy-Based Quantification with LLM-Simulated Agents

Ideological isolation in online social networks: A survey of computational definitions, metrics, and mitigation

Fairness-constrained influence maximisation via multi-objective optimisation

Balancing Information Perception With Yin-Yang: Agent-Based Adaptive Information Neutrality Model for Recommendation Systems

LLM-AIDSim: LLM-Enhanced Agent-Based Influence Diffusion Simulation in Social Networks

BCA: Besiege and Conquer Algorithm

BotDMM: Dual-channel Multi-Modal Learning for LLM-driven Bot Detection on Social Media

LLM-BotGuard: A Novel Framework for Detecting LLM-Driven Bots With Mixture of Experts and Graph Neural Networks

Nudging Toward Responsible Recommendations: A Graph-Based Approach to Mitigate Belief Filter Bubbles

PerceiverS: A Multi-Scale Perceiver With Effective Segmentation for Long-Term Expressive Symbolic Music Generation

STMMoE: A Spatio-Temporal Multimodal Mixture-of-Experts Model for Urban Traffic Prediction

Detecting misinformation through framing theory: the frame element-based model

Aspect-adaptive knowledge-based opinion summarization

Intent-Spectrum BotTracker: Tackling LLM-Based Social Media Bots Through an Enhanced BotRGCN Model with Intention and Entropy Measurement

Multi-level representation of long MIDI sequences: Integrating bar-level encoding with music-level context

SCA-LSTM: A Deep Learning Approach to Golf Swing Analysis and Performance Enhancement

DTSA: Dynamic Tree-Seed Algorithm with Velocity-Driven Seed Generation and Count-Based Adaptive Strategies

End-to-End Top-Down Load Forecasting Model for Residential Consumers

Geometry of Textual Data Augmentation: Insights from Large Language Models

Graph-based joint pandemic concern and relation extraction on Twitter

Collaborators (6)

Matthew M. Y. Kuo

Minh Nguyen

Shafiqur Rahman Tito

Verica Rupar

Quan Bai

Parma Nand

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