Aixin Sun

Associate Professor

Nanyang Technological University (NTU)

Singapore

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About

Dr. Aixin Sun is an Associate Professor at Nanyang Technological University in Singapore. His research interests focus on search and recommendation systems, including pre-trained models and sequential modeling. Notable recent publications include studies on learning patterns in MOOCs, node classification in real-world networks, and innovative approaches to short-video recommendations.

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Collaborators (7)

Hamed Zamani

University of Massachusetts Amherst

UNITED STATES

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Donghui Lin

Associate Professor

Okayama University

JAPAN

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Joey Tianyi Zhou

Adj Associate Professor

National University of Singapore (NUS)

SINGAPORE

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Cheng Long

Assistant Professor

Nanyang Technological University (NTU)

SINGAPORE

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Xianzhi Wang

University of Sydney

AUSTRALIA

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Grace Hui Yang

Georgetown University

UNITED STATES

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Michael Sheng

Macquarie University

AUSTRALIA

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Aixin Sun

Research Interests

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About

Articles (20)

Pre-Trained Models for Search and Recommendation: Introduction to the Special Issue—Part 2

Pre-Trained Models for Search and Recommendation: Introduction to the Special Issue—Part 1

Knowledge-Enhanced Conversational Recommendation via Transformer-based Sequential Modelling

The crowd in MOOCs: a study of learning patterns at scale

DP-GCN: Node Classification by Connectivity and Local Topology Structure on Real-World Network

Our Model Achieves Excellent Performance on MovieLens: What Does It Mean?

Beyond Collaborative Filtering: A Relook at Task Formulation in Recommender Systems

DiffuRec: A Diffusion Model for Sequential Recommendation

Not All Videos Become Outdated: Short-Video Recommendation by Learning to Deconfound Release Interval Bias

The geography of corporate fake news

Temporal Sentence Grounding in Videos: A Survey and Future Directions

Generative Adversarial Reward Learning for Generalized Behavior Tendency Inference

Dataset versus reality: Understanding model performance from the perspective of information need

A Critical Study on Data Leakage in Recommender System Offline Evaluation

SelfCF: A Simple Framework for Self-supervised Collaborative Filtering

Asking Clarifying Questions: To benefit or to disturb users in Web search?

EDU-Capsule: aspect-based sentiment analysis at clause level

Natural language processing in urology: Automated extraction of clinical information from histopathology reports of uro-oncology procedures

Point-of-Interest Recommendation With Global and Local Context

A Survey on Deep Learning for Named Entity Recognition

Collaborators (7)

Hamed Zamani

Donghui Lin

Joey Tianyi Zhou

Cheng Long

Xianzhi Wang

Grace Hui Yang

Michael Sheng

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