Yunshan Ma

Singapore Management University

Yunshan Ma 马云山

Assistant Professor
School of Computing and Information Systems

I am a tenure-track Assistant Professor at Singapore Management University. My research centers on multimodality and forecasting. I lead LMF: Lab for Multimodality and Forecasting, where we connect multimodal modeling with forecasting across scales.

Before joining SMU, I was a Postdoctoral Research Fellow at the NExT++ Research Center, National University of Singapore, supervised by Prof. Tat-Seng Chua. I also worked with Prof. Chang Ee-Chien and Prof. Liang Zhenkai at the National Cybersecurity R&D Lab. I received my PhD from NUS in 2022, supervised by Prof. Chua.

I am interested in discovering and formulating new problems, and in developing data mining, information retrieval, and multimedia methods with practical impact.

EmailGoogle Scholar ↗GitHub ↗

Research Interests

Explore research →
01

Multimodality

Understanding and fusing text, images, audio, graphs, and symbolic data; modeling how their elements compose and combine.

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02

Forecasting

Anticipating macro-level events and micro-level behavior, from financial markets and geopolitics to users and cyber attacks.

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FashionFinanceCybersecuritySocial EventsMusic

News

All updates →
One paper accepted by Multimedia Modeling (MMM) 2027 of using Language Modeling for Bundle Construction!
BundleLM: Bundle Construction Using Language Model.[pdf come soon]
One paper gets accepted by TOIS of adapting MLLM for session recommendation, one paper gets accepted by SIGIR-AP of building a multimodal fashion understanding benchmark FashionStylist!
Distilling Transitional Patterns to Multimodal Large Language Models for Session-based Recommendation.[pdf]
FashionStylist: An Expert Knowledge-enhanced Multimodal Dataset for Fashion Understanding.[pdf] [dataset and code]
One paper gets accepted by CIKM on tokenization of GenRec, one paper gets accepted by EMNLP of reusing LLM reasoning for financial report generation!
Personalized Context-Conditioned Tokenization for Generative Recommendation.[pdf] [code]
AnalysisBank: An Expert Analysis Pattern Library for Financial Report Generation.[pdf] [code]
One paper gets accepted by TKDE about continual pre-training for recommendation, one demo paper gets accepted by ACMMM of applying visual analogy retrieval to financial K-line analysis!
Large Language Model Empowered Recommendation Meets All-domain Continual Pre-Training.[pdf]
FinAlogy: A Visual Analogy Retrieval System for Financial K-Line Analysis.[pdf coming soon][code] [video]
Our paper, Frozen LVLMs for Micro-Video Recommendation: A Systematic Study of Feature Extraction and Fusion, receives the best paper award of ICMR 2026!
One paper gets accepted by Transactions on Information Systems about using LLMs for personalized fashion outfit recommendation!
CFALR: Collaborative Filtering-Augmented Large Language Model for Personalized Fashion Outfit Recommendation.[pdf]

Selected Publications

All publications →
ICMR · 2026

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

Best Paper Award · ICMR 2026

Huatuan Sun, Yunshan Ma, Changguang Wu, Yanxin Zhang, Pengfei Wang, Xiaoyu Du.

PDFcode
MMM · 2026

Integrating Symbolic and Waveform Music into Large Language Models.

Best Paper Award · MMM 2026

Teng Tu, Xiaohao Liu, Yunshan Ma, Ji Qi, Tat-Seng Chua.

PDFwebsite
ICAIF · Workshop · 2025

Reasoning on Time-Series for Financial Analysis.

Best Paper Award · ICAIF 2025 Workshop on Rethinking Financial Time-Series

Kelvin J.L. Koa, Jan Chen, Yunshan Ma, Huanhuan Zheng, Tat-Seng Chua.

PDFcode
MMAsia · Demo · 2025

VibeMus: Proactive Agentic System for Music Personalization.

Best Demo Award · MMAsia 2025

Zhiliang Guo, Teng Tu, Yunshan Ma, Xun Yang.

PDFcode
Computers & Security · 2025

AttacKG+: Boosting Attack Graph Construction with Large Language Models.

Yongheng Zhang, Tingwen Du, Yunshan Ma, Xiang Wang, Yi Xie, Guozheng Yang, Yuliang Lu, Ee-Chien Chang.

PDFPublisher
ICLR · 2025

AlphaEdit: Null-Space Constrained Knowledge Editing for Language Models.

Outstanding Paper Award · ICLR 2025

Junfeng Fang, Houcheng Jiang, Kun Wang, Yunshan Ma, Jie Shi, Xiang Wang, Xiangnan He, Tat-Seng Chua.

PDFCode
WWW'24

Learning to Generate Explainable Stock Predictions using Self-Reflective Large Language Models.

Kelvin J. L. Koa, Yunshan Ma*, Ritchie Ng, Tat-Seng Chua.

PDFCodePublisher
KDD'22

CrossCBR: Cross-view Contrastive Learning for Bundle Recommendation.

Yunshan Ma, Yingzhi He, An Zhang, Xiang Wang, Tat-Seng Chua.

PaperCodePDF
ICMR'21

Leveraging Two Types of Global Graph for Sequential Fashion Recommendation.

Best Student Paper Award · ICMR 2021

Yujuan Ding, Yunshan Ma, Wai Keung Wong, Tat-Seng Chua.

PDFPublisher

Background & Service

Education &
Experience

2025.01-present: Assistant Professor, School of Computing and Information Systems, Singapore Management University (SMU)
2022.04-2024.12: Postdoctoral Research Fellow, NExT++ Research Center, National University of Singapore (NUS)
Supervisor: Prof Tat-Seng Chua.
2017.08-2022.03: PhD in Computer Science, School of Computing, National University of Singapore
Supervisor: Prof Tat-Seng Chua.
2011-2015: Bachelor in Communication Engineering, Beijing University of Posts and Telecommunications (BUPT)

Honors &
Awards

  • Best Paper Award, ICMR 2026.
  • Best Paper Award, MMM 2026.
  • Best Demo Award, MMAsia 2025.
  • Best Paper Award, ACM ICAIF'25 Workshop on Rethinking Financial Time-Series.
  • Outstanding Paper Award, ICLR 2025.
  • Best Student Paper Award, ICMR 2021.
  • Research Achievement Award, National University of Singapore 2019.
  • Best Paper Finalist, ACMMM 2018.

Professional
Service

Conference Organizing Committee

Conference Workshops, Special Sessions, Special Issues

  • MMM 2027 Special Session: Multimodal Agentic Systems and Applications.
  • SIGIR 2025 Workshop: FinIR 2025: The 2nd Workshop on Financial Information Retrieval in the Era of Generative AI.
  • CIKM 2025 Workshop: International Workshop on Multimodal Generative Search and Recommendation.

Conference Session Chairs

Conference Program Committee

  • Area chair of WWW 2027, MMAsia 2026,KDD 2026.
  • Senior Program Committee (SPC) member of ICMR 2026.
  • Area chair of NLPCC 2025, 2026.
  • Area co-chair of CCL 2023.
  • PC member of ACMMM, SIGIR, KDD, WWW, WSDM, CIKM, IJCAI, ICML, ICLR, AAAI, ICMR, MMM etc.

Journal Editors

  • Associate Editor of Neurocomputing, from October 2026.

Journal Invited Reviewers

  • TKDE, TOIS, TMM, ToMM, TWeb, TIST, etc.