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Xue Liu

McGill University

Canada

Research Interests

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Professors in Canada Professors in Artificial Intelligence Artificial Intelligence professors in Canada

Articles (21)

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2026

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2024

Collaborators (12)

Ling Pan

Assistant Professor

The Hong Kong University of Science and Technology

CHINA

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Gregory Dudek

James McGill Professor

McGill University

CANADA

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Hina Tabassum

Prof.

York University

CANADA

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William Knottenbelt

Professor of Applied Quantitative Analysis

Imperial College London

UNITED KINGDOM

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Xiaoshan Huang

McGill University

CANADA

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Yili Jin

McGill University

CANADA

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Giovanni Beltrame

Polytechnique Montréal

CANADA

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Marco Dorigo

Research Director

Université libre de Bruxelles

BELGIUM

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John Baugh

Professor

North Carolina State University

UNITED STATES

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Abdullah Al Arafat

Assistant Professor

Florida International University

UNITED STATES

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Kaize Ding

Assistant Professor

Northwestern University

UNITED STATES

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David Williamson Shaffer

Vilas Distinguished Achievement Professor of Learning Scienc

University of Wisconsin-Madison

UNITED STATES

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Xue Liu

Research Interests

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Articles (21)

Development and Deployment of Jami: Experiences With a Mobile Distributed Communication Platform

Pixel-Level Tiling With End-to-End Neural Compression for Tile-Based Video Streaming

GSAlign: Optical Alignment for Photorealistic Dynamic 3D Reconstruction from UGC in Web3

Enhancing Large Language Models (LLMs) for Telecom Using Dynamic Knowledge Graphs and Explainable Retrieval-Augmented Generation

Exploring Test-time Scaling via Prediction Merging on Large-Scale Recommendation

Fast and Faithful: Real-Time Verification for Long-Document Retrieval-Augmented Generation Systems

Self-Refined Generative Foundation Models for Wireless Traffic Prediction

The Golden Rule of Big Memory: Persistence Is Not Harmful

Hybrid LLM-DDQN-Based Joint Optimization of V2I Communication and Autonomous Driving

A Blockchain Framework for Equitable and Secure Task Allocation in Robot Swarms

Generative AI for Multimedia Communication: Recent Advances, An Information-Theoretic Framework, and Future Opportunities

Generative Flow Networks for Personalized Multimedia Systems: A Case Study on Short Video Feeds

Soteria: A Formal Digital-Twin-Enabled Framework for Safety-Assurance of Latency-Aware Cyber-Physical Systems

Decoding SEC Actions: Enforcement Trends through Analyzing Blockchain Litigation using LLM-based Thematic Factor Mapping

Linking Facial Recognition of Emotions and Socially Shared Regulation in Medical Simulation

Toward Edge General Intelligence via Large Language Models: Opportunities and Challenges

CSPO: Cross-Market Synergistic Stock Price Movement Forecasting with Pseudo-volatility Optimization

Fusion Matters: Learning Fusion in Deep Click-through Rate Prediction Models

Optimizing Blockchain Analysis: Tackling Temporality and Scalability with an Incremental Approach with Metropolis-Hastings Random Walks

Elevation-Aware Map Matching Model Leveraging Transfer Learning in Sparse Data Conditions

FedSwarm: An Adaptive Federated Learning Framework for Scalable AIoT

Collaborators (12)

Ling Pan

Gregory Dudek

Hina Tabassum

William Knottenbelt

Xiaoshan Huang

Yili Jin

Giovanni Beltrame

Marco Dorigo

John Baugh

Abdullah Al Arafat

Kaize Ding

David Williamson Shaffer

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