Meet ApplyKite Twin, the application assistant that learns with you

Meet your Twin, it learns with you

Your Twin learns with you

Launch week codes:30% off annual Pro20% off monthly Pro

Ends in00h00m00s

Yunshan Ma

Assistant Professor

Singapore Management University

Singapore

Research Interests

ApplyKite TwinLearns as you apply

Make your next move.

Prepare your application

Review drafts before you send them.

Articles (20)

Year:

2027

Year:

2026

Year:

2026

Year:

2026

Year:

2026

Year:

2026

Year:

2026

Year:

2026

Year:

2026

Year:

2026

Year:

2026

Year:

2026

Year:

2025

Year:

2025

Year:

2025

Year:

2025

Year:

2025

Year:

2025

Year:

2025

Year:

2024

Collaborators (9)

Tat-Seng Chua

Chair Professor

National University of Singapore (NUS)

SINGAPORE

View details

An Zhang

Professor

University of Science and Technology of China

CHINA

View details

See-Kiong Ng

National University of Singapore (NUS)

SINGAPORE

View details

ZHU SUN

Assistant Professor

Macquarie University

AUSTRALIA

View details

Peng Jin

Singapore Management University

SINGAPORE

View details

Xiaolin Zheng

Professor

Zhejiang University

CHINA

View details

Wenqi Fan

Assistant Professor

The Hong Kong Polytechnic University

HONG KONG

View details

Chong Wah Ngo

Professor

Singapore Management University

SINGAPORE

View details

Xiaohao Liu

National University of Singapore

SINGAPORE

View details

ApplyKite TwinLearns as you apply

Make your next move.

Prepare your application

Review drafts before you send them.

Yunshan Ma

Research Interests

Make your next move.

Articles (20)

Rethinking NL2VIS: A Comparative Survey of LLM-Based Natural-Language-to-Visualisation Frameworks

Dynamic Spectral Denoising with Global-Context Attention for Multi-Behavior Recommendation

ThinkTank-ME: A Multi-Expert Framework for Middle East Event Forecasting

iTIMO: An LLM-empowered Synthesis Dataset for Travel Itinerary Modification

CFALR: Collaborative Filtering-Augmented Large Language Model for Personalized Fashion Outfit Recommendation

Distilling Transitional Patterns to Multimodal Large Language Models for Session-based Recommendation

Dual-Diffusional Generative Fashion Recommendation

Frozen LVLMs for Micro-Video Recommendation: A Systematic Study of Feature Extraction and Fusion

MetaRAG: Identifying Website Owner Using Meta-Path-Guided Dynamic Graph Retrieval-Augmented Generation

MM-AttacKG: A multimodal approach to attack graph construction with large language models

Addressing graph heterogeneity and heterophily from a spectral perspective

Multi-way cascade-attention network for multi-modal sequential recommendation

LLM2Rec: Large Language Models Are Powerful Embedding Models for Sequential Recommendation

GenWardrobe: A Fully Generative System for Travel Fashion Wardrobe Construction

Fine-tuning Multimodal Large Language Models for Product Bundling

VibeMus: Proactive Agentic System for Music Personalization

Website Owner Identification through Multi-level Contrastive Representation Learning

International Workshop on Multimodal Generative Search and Recommendation (MMGenSR@CIKM 2025)

Enhancing Item-level Bundle Representation for Bundle Recommendation

MultiCBR: Multi-view Contrastive Learning for Bundle Recommendation

Collaborators (9)

Tat-Seng Chua

An Zhang

See-Kiong Ng

ZHU SUN

Peng Jin

Xiaolin Zheng

Wenqi Fan

Chong Wah Ngo

Xiaohao Liu

Make your next move.