Publications (Google Scholar)


2024




SIGIR'24          

 Smart Fitting Room: A One-stop Framework for Matching-aware Virtual Try-On.
Mingzhe Yu, Yunshan Ma, Lei Wu, Kai Cheng, Xue Li, Lei Meng, Tat-Seng Chua.

SIGIR'24          

 DiFashion: DiFashion: Towards Personalized Outfit Generation.
Yiyan Xu, Wenjie Wang, Fuli Feng, Yunshan Ma, Jizhi Zhang, Xiangnan He.

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.

WWW'24 Demo          

 FashionReGen: LLM-Empowered Fashion Report Generation.
Jun Li, Yi Bin, Yunshan Ma, Yang Yang, Zi Huang, Tat-Seng Chua.

TOIS'24          

 Filter-based Stance Network for Rumor Verification.
Jun Li, Yi Bin, Yunshan Ma, Yang Yang, Zi Huang, Tat-Seng Chua.

TOIS'24          

 MultiCBR: Multi-view Contrastive Learning for Bundle Recommendation.
Yunshan Ma*, Yingzhi He*, Xiang Wang, Yinwei Wei, Xiaoyu Du, Yuyangzi Fu, Tat-Seng Chua.

WSDM'24          

 Leveraging Multimodal Features and Item-level User Feedback for Bundle Construction.
Yunshan Ma, Xiaohao Liu, Yinwei Wei, Zhulin Tao, Xiang Wang, Tat-Seng Chua.


2023

TORS'23          

 Enhancing Item-level Bundle Representation for Bundle Recommendation.
Xiaoyu Du, Kun Qian, Yunshan Ma*, Xinguang Xiang.

TKDE'23          

 Rule-guided Counterfactual Explainable Recommendation.
Yinwei Wei, Xiaoyang Qu, Xiang Wang, Yunshan Ma, Liqiang Nie, Tat-Seng Chua.

CIKM'23          

 Diffusion Variational Autoencoder for Tackling Stochasticity in Multi-Step Regression Stock Price Prediction.
Kelvin J.L. Koa, Yunshan Ma*, Ritchie Ng, Tat-Seng Chua.

KDD‘23          

 Context-aware Event Forecasting via Graph Disentanglement.
Yunshan Ma*, Chenchen Ye*, Zijian Wu, Xiang Wang, Yixin Cao, Tat-Seng Chua.

KDD‘23          

 FLOOD: A Flexible Invariant Learning Framework for Out-of-Distribution Generalization on Graphs.
Yang Liu, Xiang Ao, Fuli Feng, Yunshan Ma, Kuan Li, Tat-Seng Chua, Qing He.

RA-L'23          

 A Learning-Based Approach for Estimating Inertial Properties of Unknown Objects from Encoder Discrepancies.
Zizhou Lao, Yuanfeng Han, Yunshan Ma, Gregory Chirikjian.

IPM'23          

 Personalized Fashion Outfit Generation with User Coordination Preference Learning.
Yujuan Ding, P.Y. Mok, Yunshan Ma, Yi Bin.

SIGIR'23          

 Strategy-aware Bundle Recommender System.
Yinwei Wei, Xiaohao Liu, Yunshan Ma, Xiang Wang, Liqiang Nie, Tat-Seng Chua.

TOIS'23          

 Causal Disentangled Recommendation Against User Preference Shifts.
Wenjie Wang, Xinyu Lin, Fuli Feng, Yunshan Ma, Tat-Seng Chua.


2022

KDD'22          

 CrossCBR: Cross-view Contrastive Learning for Bundle Recommendation.
Yunshan Ma, Yingzhi He, An Zhang, Xiang Wang, Tat-Seng Chua.


2021

TMM'21          

 Modeling Instant User Intent and Content-level Transition for Sequential Fashion Recommendation.
Yujuan Ding, Yunshan Ma, Wai Keung Wong, Tat-Seng Chua.

ICMR'21          

 Leveraging Two Types of Global Graph for Sequential Fashion Recommendation.
Yujuan Ding, Yunshan Ma, Wai Keung Wong, Tat-Seng Chua.   (Best Student Paper)
TMM'21          

 Leveraging Multiple Relations for Fashion Trend Forecasting Based on Social Media.
Yujuan Ding*, Yunshan Ma*, Lizi Liao, Wai Keung Wong, Tat-Seng Chua.

TACL'21          

 Dialogue State Tracking with Incremental Reasoning.
Lizi Liao, Le Hong Long, Yunshan Ma, Wenqiang Lei, Tat-Seng Chua.


2020

TKDE'20          

 Topic-Guided Relational Conversational Recommender in Multi-Domain.
Lizi Liao, Ryuichi Takanobu, Yunshan Ma, Xun Yang, Minlie Huang, Tat-Seng Chua.


2019

ACMMM'19          

 Who, Where, and What to Wear? Extracting Fashion Knowledge from Social Media.
Yunshan Ma, Xun Yang, Lizi Liao, Yixin Cao, Tat-Seng Chua.

ACMMM'19 Demo          

 Yunshan Ma, Lizi Liao, Tat-Seng Chua.
Yunshan Ma, Lizi Liao, Tat-Seng Chua.

SIGIR'19          

 Interpretable Fashion Matching with Rich Attributes.
Xun Yang, Xiangnan He, Xiang Wang, Yunshan Ma, Fuli Feng, Meng Wang, Tat-Seng Chua.

AAAI'19          

 TransNFCM: Translation-based Neural Fashion Compatibility Modeling.
Xun Yang, Yunshan Ma, Lizi Liao, Meng Wang, Tat-Seng Chua.


2018

ACMMM'18          

 Knowledge-aware Multimodal Dialogue Systems.
Lizi Liao, Yunshan Ma, Xiangnan He, Richang Hong, Tat-Seng Chua.
ACMMM'18 Demo          

 Knowledge-aware Multimodal Fashion Chatbot.
Lizi Liao, You Zhou, Yunshan Ma, Richang Hong, Tat-Seng Chua.   (Best Paper Finallist)