Yunshan Ma

Publication Activity (10 Years)

Years Active: 2018-2024
Publications (10 Years): 61

Top Topics

Diffusion Models

Knowledge Extraction

Top Venues

Publications

Yujuan Ding, Yunshan Ma, Wenqi Fan, Yige Yao, Tat-Seng Chua, Qing Li
FashionReGen: LLM-Empowered Fashion Report Generation. WWW (Companion Volume) (2024)
Mingzhe Yu, Yunshan Ma, Lei Wu, Kai Cheng, Xue Li, Lei Meng, Tat-Seng Chua
Smart Fitting Room: A Generative Approach to Matching-aware Virtual Try-On. CoRR (2024)
Rebecca Salganik, Xiaohao Liu, Yunshan Ma, Jian Kang, Tat-Seng Chua
LARP: Language Audio Relational Pre-training for Cold-Start Playlist Continuation. CoRR (2024)
Yiyan Xu, Wenjie Wang, Fuli Feng, Yunshan Ma, Jizhi Zhang, Xiangnan He
DiFashion: Towards Personalized Outfit Generation and Recommendation. CoRR (2024)
Zhihan Zhang, Yixin Cao, Chenchen Ye, Yunshan Ma, Lizi Liao, Tat-Seng Chua
Analyzing Temporal Complex Events with Large Language Models? A Benchmark towards Temporal, Long Context Understanding. CoRR (2024)
Yiyan Xu, Wenjie Wang, Fuli Feng, Yunshan Ma, Jizhi Zhang, Xiangnan He
Diffusion Models for Generative Outfit Recommendation. SIGIR (2024)
Zhihan Zhang, Yixin Cao, Chenchen Ye, Yunshan Ma, Lizi Liao, Tat-Seng Chua
Analyzing Temporal Complex Events with Large Language Models? A Benchmark towards Temporal, Long Context Understanding. ACL (1) (2024)
Zixuan Li, Lizi Liao, Yunshan Ma, Tat-Seng Chua
Contrastive Pre-training for Deep Session Data Understanding. CoRR (2024)
Xiaohao Liu, Zhulin Tao, Ting Jiang, He Chang, Yunshan Ma, Xianglin Huang
ToDA: Target-oriented Diffusion Attacker against Recommendation System. CoRR (2024)
Yunshan Ma, Xiaohao Liu, Yinwei Wei, Zhulin Tao, Xiang Wang, Tat-Seng Chua
Leveraging Multimodal Features and Item-level User Feedback for Bundle Construction. WSDM (2024)
Yinwei Wei, Xiaoyang Qu, Xiang Wang, Yunshan Ma, Liqiang Nie, Tat-Seng Chua
Rule-Guided Counterfactual Explainable Recommendation. IEEE Trans. Knowl. Data Eng. 36 (5) (2024)
Wenjie Wang, Xinyu Lin, Liuhui Wang, Fuli Feng, Yunshan Ma, Tat-Seng Chua
Causal Disentangled Recommendation against User Preference Shifts. ACM Trans. Inf. Syst. 42 (1) (2024)
Yanhua Yu, Yuanlong Wang, Yunshan Ma, Jie Li, Kangkang Lu, Zhiyong Huang, Tat-Seng Chua
EE-LCE: An Event Extraction Framework Based on LLM-Generated CoT Explanation. KSEM (1) (2024)
Jun Li, Yi Bin, Yunshan Ma, Yang Yang, Zi Huang, Tat-Seng Chua
Filter-based Stance Network for Rumor Verification. ACM Trans. Inf. Syst. 42 (4) (2024)
Yunshan Ma, Yingzhi He, Xiang Wang, Yinwei Wei, Xiaoyu Du, Yuyangzi Fu, Tat-Seng Chua
MultiCBR: Multi-view Contrastive Learning for Bundle Recommendation. ACM Trans. Inf. Syst. 42 (4) (2024)
Kelvin J. L. Koa, Yunshan Ma, Ritchie Ng, Tat-Seng Chua
Learning to Generate Explainable Stock Predictions using Self-Reflective Large Language Models. CoRR (2024)
Xiaohao Liu, Jie Wu, Zhulin Tao, Yunshan Ma, Yinwei Wei, Tat-Seng Chua
Harnessing Large Language Models for Multimodal Product Bundling. CoRR (2024)
Mingzhe Yu, Yunshan Ma, Lei Wu, Kai Cheng, Xue Li, Lei Meng, Tat-Seng Chua
Smart Fitting Room: A One-stop Framework for Matching-aware Virtual Try-On. ICMR (2024)
Yongheng Zhang, Tingwen Du, Yunshan Ma, Xiang Wang, Yi Xie, Guozheng Yang, Yuliang Lu, Ee-Chien Chang
AttacKG+:Boosting Attack Knowledge Graph Construction with Large Language Models. CoRR (2024)
Yunshan Ma, Yingzhi He, Wenjun Zhong, Xiang Wang, Roger Zimmermann, Tat-Seng Chua
CIRP: Cross-Item Relational Pre-training for Multimodal Product Bundling. CoRR (2024)
Kelvin J. L. Koa, Yunshan Ma, Ritchie Ng, Tat-Seng Chua
Learning to Generate Explainable Stock Predictions using Self-Reflective Large Language Models. WWW (2024)
He Chang, Chenchen Ye, Zhulin Tao, Jie Wu, Zhengmao Yang, Yunshan Ma, Xianglin Huang, Tat-Seng Chua
A Comprehensive Evaluation of Large Language Models on Temporal Event Forecasting. CoRR (2024)
Rebecca Salganik, Xiaohao Liu, Yunshan Ma, Jian Kang, Tat-Seng Chua
LARP: Language Audio Relational Pre-training for Cold-Start Playlist Continuation. KDD (2024)
Yujuan Ding, Yunshan Ma, Wenqi Fan, Yige Yao, Tat-Seng Chua, Qing Li
FashionReGen: LLM-Empowered Fashion Report Generation. CoRR (2024)
Yunshan Ma, Xiaohao Liu, Yinwei Wei, Zhulin Tao, Xiang Wang, Tat-Seng Chua
Leveraging Multimodal Features and Item-level User Feedback for Bundle Construction. CoRR (2023)
Yujuan Ding, P. Y. Mok, Yunshan Ma, Yi Bin
Personalized fashion outfit generation with user coordination preference learning. Inf. Process. Manag. 60 (5) (2023)
Yunshan Ma, Yingzhi He, Xiang Wang, Yinwei Wei, Xiaoyu Du, Yuyangzi Fu, Tat-Seng Chua
MultiCBR: Multi-view Contrastive Learning for Bundle Recommendation. CoRR (2023)
Yang Liu, Xiang Ao, Fuli Feng, Yunshan Ma, Kuan Li, Tat-Seng Chua, Qing He
FLOOD: A Flexible Invariant Learning Framework for Out-of-Distribution Generalization on Graphs. KDD (2023)
Xiaoyu Du, Kun Qian, Yunshan Ma, Xinguang Xiang
Enhancing Item-level Bundle Representation for Bundle Recommendation. CoRR (2023)
Kelvin J. L. Koa, Yunshan Ma, Ritchie Ng, Tat-Seng Chua
Diffusion Variational Autoencoder for Tackling Stochasticity in Multi-Step Regression Stock Price Prediction. CIKM (2023)
Zizhou Lao, Yuanfeng Han, Yunshan Ma, Gregory S. Chirikjian
A Learning-Based Approach for Estimating Inertial Properties of Unknown Objects From Encoder Discrepancies. IEEE Robotics Autom. Lett. 8 (9) (2023)
Wenjie Wang, Xinyu Lin, Liuhui Wang, Fuli Feng, Yunshan Ma, Tat-Seng Chua
Causal Disentangled Recommendation Against User Preference Shifts. CoRR (2023)
Yunshan Ma, Chenchen Ye, Zijian Wu, Xiang Wang, Yixin Cao, Tat-Seng Chua
Context-aware Event Forecasting via Graph Disentanglement. CoRR (2023)
Yunshan Ma, Chenchen Ye, Zijian Wu, Xiang Wang, Yixin Cao, Liang Pang, Tat-Seng Chua
Structured, Complex and Time-complete Temporal Event Forecasting. CoRR (2023)
Yinwei Wei, Xiaohao Liu, Yunshan Ma, Xiang Wang, Liqiang Nie, Tat-Seng Chua
Strategy-aware Bundle Recommender System. SIGIR (2023)
Kelvin J. L. Koa, Yunshan Ma, Ritchie Ng, Tat-Seng Chua
Diffusion Variational Autoencoder for Tackling Stochasticity in Multi-Step Regression Stock Price Prediction. CoRR (2023)
Yunshan Ma, Chenchen Ye, Zijian Wu, Xiang Wang, Yixin Cao, Tat-Seng Chua
Context-aware Event Forecasting via Graph Disentanglement. KDD (2023)
Lizi Liao, Ryuichi Takanobu, Yunshan Ma, Xun Yang, Minlie Huang, Tat-Seng Chua
Topic-Guided Conversational Recommender in Multiple Domains. IEEE Trans. Knowl. Data Eng. 34 (5) (2022)
Yunshan Ma, Yingzhi He, An Zhang, Xiang Wang, Tat-Seng Chua
CrossCBR: Cross-view Contrastive Learning for Bundle Recommendation. KDD (2022)
Yunshan Ma, Yingzhi He, An Zhang, Xiang Wang, Tat-Seng Chua
CrossCBR: Cross-view Contrastive Learning for Bundle Recommendation. CoRR (2022)
Yujuan Ding, Yunshan Ma, Lizi Liao, Wai Keung Wong, Tat-Seng Chua
Leveraging Multiple Relations for Fashion Trend Forecasting Based on Social Media. IEEE Trans. Multim. 24 (2022)
Yujuan Ding, Yunshan Ma, Wai Keung Wong, Tat-Seng Chua
Modeling Instant User Intent and Content-Level Transition for Sequential Fashion Recommendation. IEEE Trans. Multim. 24 (2022)
Yunshan Ma, Yujuan Ding, Xun Yang, Lizi Liao, Wai Keung Wong, Tat-Seng Chua, Jinyoung Moon, Hong-Han Shuai
Reproducibility Companion Paper: Knowledge Enhanced Neural Fashion Trend Forecasting. CoRR (2021)
Yujuan Ding, Yunshan Ma, Lizi Liao, Wai Keung Wong, Tat-Seng Chua
Leveraging Multiple Relations for Fashion Trend Forecasting Based on Social Media. CoRR (2021)
Yunshan Ma, Yujuan Ding, Xun Yang, Lizi Liao, Wai Keung Wong, Tat-Seng Chua, Jinyoung Moon, Hong-Han Shuai
Reproducibility Companion Paper: Knowledge Enhanced Neural Fashion Trend Forecasting. ICMR (2021)
Lizi Liao, Le Hong Long, Yunshan Ma, Wenqiang Lei, Tat-Seng Chua
Dialogue State Tracking with Incremental Reasoning. Trans. Assoc. Comput. Linguistics 9 (2021)
Yujuan Ding, Yunshan Ma, Wai Keung Wong, Tat-Seng Chua
Leveraging Two Types of Global Graph for Sequential Fashion Recommendation. ICMR (2021)
Yujuan Ding, Yunshan Ma, Wai Keung Wong, Tat-Seng Chua
Leveraging Two Types of Global Graph for Sequential Fashion Recommendation. CoRR (2021)
Lizi Liao, Yunshan Ma, Wenqiang Lei, Tat-Seng Chua
Rethinking Dialogue State Tracking with Reasoning. CoRR (2020)
Yunshan Ma, Yujuan Ding, Xun Yang, Lizi Liao, Wai Keung Wong, Tat-Seng Chua
Knowledge Enhanced Neural Fashion Trend Forecasting. ICMR (2020)
Yunshan Ma, Yujuan Ding, Xun Yang, Lizi Liao, Wai Keung Wong, Tat-Seng Chua
Knowledge Enhanced Neural Fashion Trend Forecasting. CoRR (2020)
Xun Yang, Xiangnan He, Xiang Wang, Yunshan Ma, Fuli Feng, Meng Wang, Tat-Seng Chua
Interpretable Fashion Matching with Rich Attributes. SIGIR (2019)
Lizi Liao, Ryuichi Takanobu, Yunshan Ma, Xun Yang, Minlie Huang, Tat-Seng Chua
Deep Conversational Recommender in Travel. CoRR (2019)
Xun Yang, Yunshan Ma, Lizi Liao, Meng Wang, Tat-Seng Chua
TransNFCM: Translation-Based Neural Fashion Compatibility Modeling. AAAI (2019)
Yunshan Ma, Lizi Liao, Tat-Seng Chua
Automatic Fashion Knowledge Extraction from Social Media. CoRR (2019)
Yunshan Ma, Lizi Liao, Tat-Seng Chua
Automatic Fashion Knowledge Extraction from Social Media. ACM Multimedia (2019)
Yunshan Ma, Xun Yang, Lizi Liao, Yixin Cao, Tat-Seng Chua
Who, Where, and What to Wear?: Extracting Fashion Knowledge from Social Media. ACM Multimedia (2019)
Yunshan Ma, Xun Yang, Lizi Liao, Yixin Cao, Tat-Seng Chua
Who, Where, and What to Wear? Extracting Fashion Knowledge from Social Media. CoRR (2019)
Xun Yang, Yunshan Ma, Lizi Liao, Meng Wang, Tat-Seng Chua
TransNFCM: Translation-Based Neural Fashion Compatibility Modeling. CoRR (2018)
Lizi Liao, Yunshan Ma, Xiangnan He, Richang Hong, Tat-Seng Chua
Knowledge-aware Multimodal Dialogue Systems. ACM Multimedia (2018)
Lizi Liao, You Zhou, Yunshan Ma, Richang Hong, Tat-Seng Chua
Knowledge-aware Multimodal Fashion Chatbot. ACM Multimedia (2018)