Yunshan Ma

According to our database, Yunshan Ma authored at least 47 papers between 2018 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2024

MultiCBR: Multi-view Contrastive Learning for Bundle Recommendation.

Yunshan Ma, Yingzhi He, Xiang Wang, Yinwei Wei, Xiaoyu Du, Yuyangzi Fu, Tat-Seng Chua

ACM Trans. Inf. Syst., July, 2024

Filter-based Stance Network for Rumor Verification.

Jun Li, Yi Bin, Yunshan Ma, Yang Yang, Zi Huang, Tat-Seng Chua

ACM Trans. Inf. Syst., July, 2024

Rule-Guided Counterfactual Explainable Recommendation.

Yinwei Wei, Xiaoyang Qu, Xiang Wang, Yunshan Ma, Liqiang Nie, Tat-Seng Chua

IEEE Trans. Knowl. Data Eng., May, 2024

Causal Disentangled Recommendation against User Preference Shifts.

Wenjie Wang, Xinyu Lin, Liuhui Wang, Fuli Feng, Yunshan Ma, Tat-Seng Chua

ACM Trans. Inf. Syst., January, 2024

Temporal Relational Reasoning of Large Language Models for Detecting Stock Portfolio Crashes.

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

CoRR, 2024

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

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

CoRR, 2024

Harnessing Large Language Models for Multimodal Product Bundling.

Xiaohao Liu, Jie Wu, Zhulin Tao, Yunshan Ma, Yinwei Wei, Tat-Seng Chua

CoRR, 2024

A Comprehensive Evaluation of Large Language Models on Temporal Event Forecasting.

He Chang, Chenchen Ye, Zhulin Tao, Jie Wu, Zhengmao Yang, Yunshan Ma, Xianglin Huang, Tat-Seng Chua

CoRR, 2024

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

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

CoRR, 2024

Contrastive Pre-training for Deep Session Data Understanding.

Zixuan Li, Lizi Liao, Yunshan Ma, Tat-Seng Chua

CoRR, 2024

DiFashion: Towards Personalized Outfit Generation and Recommendation.

Yiyan Xu, Wenjie Wang, Fuli Feng, Yunshan Ma, Jizhi Zhang, Xiangnan He

CoRR, 2024

Smart Fitting Room: A Generative Approach to Matching-aware Virtual Try-On.

Mingzhe Yu, Yunshan Ma, Lei Wu, Kai Cheng, Xue Li, Lei Meng, Tat-Seng Chua

CoRR, 2024

ToDA: Target-oriented Diffusion Attacker against Recommendation System.

Xiaohao Liu, Zhulin Tao, Ting Jiang, He Chang, Yunshan Ma, Xianglin Huang

CoRR, 2024

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

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

Proceedings of the ACM on Web Conference 2024, 2024

FashionReGen: LLM-Empowered Fashion Report Generation.

Yujuan Ding, Yunshan Ma, Wenqi Fan, Yige Yao, Tat-Seng Chua, Qing Li

Proceedings of the Companion Proceedings of the ACM on Web Conference 2024, 2024

Leveraging Multimodal Features and Item-level User Feedback for Bundle Construction.

Yunshan Ma, Xiaohao Liu, Yinwei Wei, Zhulin Tao, Xiang Wang, Tat-Seng Chua

Proceedings of the 17th ACM International Conference on Web Search and Data Mining, 2024

Diffusion Models for Generative Outfit Recommendation.

Yiyan Xu, Wenjie Wang, Fuli Feng, Yunshan Ma, Jizhi Zhang, Xiangnan He

Proceedings of the 47th International ACM SIGIR Conference on Research and Development in Information Retrieval, 2024

CIRP: Cross-Item Relational Pre-training for Multimodal Product Bundling.

Yunshan Ma, Yingzhi He, Wenjun Zhong, Xiang Wang, Roger Zimmermann, Tat-Seng Chua

Proceedings of the 32nd ACM International Conference on Multimedia, MM 2024, Melbourne, VIC, Australia, 28 October 2024, 2024

MM-Forecast: A Multimodal Approach to Temporal Event Forecasting with Large Language Models.

Haoxuan Li, Zhengmao Yang, Yunshan Ma, Yi Bin, Yang Yang, Tat-Seng Chua

Proceedings of the 32nd ACM International Conference on Multimedia, MM 2024, Melbourne, VIC, Australia, 28 October 2024, 2024

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

Proceedings of the 2024 International Conference on Multimedia Retrieval, 2024

EE-LCE: An Event Extraction Framework Based on LLM-Generated CoT Explanation.

Yanhua Yu, Yuanlong Wang, Yunshan Ma, Jie Li, Kangkang Lu, Zhiyong Huang, Tat-Seng Chua

Proceedings of the Knowledge Science, Engineering and Management, 2024

LARP: Language Audio Relational Pre-training for Cold-Start Playlist Continuation.

Rebecca Salganik, Xiaohao Liu, Yunshan Ma, Jian Kang, Tat-Seng Chua

Proceedings of the 30th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2024

Hop-based Heterogeneous Graph Transformer.

Zixuan Yang, Xiao Wang, Yanhua Yu, Yuling Wang, Kangkang Lu, Zirui Guo, Xiting Qin, Yunshan Ma, Tat-Seng Chua

Proceedings of the ECAI 2024 - 27th European Conference on Artificial Intelligence, 19-24 October 2024, Santiago de Compostela, Spain, 2024

Analyzing Temporal Complex Events with Large Language Models? A Benchmark towards Temporal, Long Context Understanding.

Zhihan Zhang, Yixin Cao, Chenchen Ye, Yunshan Ma, Lizi Liao, Tat-Seng Chua

Proceedings of the 62nd Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2024

2023

A Learning-Based Approach for Estimating Inertial Properties of Unknown Objects From Encoder Discrepancies.

Zizhou Lao, Yuanfeng Han, Yunshan Ma, Gregory S. Chirikjian

IEEE Robotics Autom. Lett., September, 2023

Personalized fashion outfit generation with user coordination preference learning.

Yujuan Ding, P. Y. Mok, Yunshan Ma, Yi Bin

Inf. Process. Manag., September, 2023

Structured, Complex and Time-complete Temporal Event Forecasting.

Yunshan Ma, Chenchen Ye, Zijian Wu, Xiang Wang, Yixin Cao, Liang Pang, Tat-Seng Chua

CoRR, 2023

Enhancing Item-level Bundle Representation for Bundle Recommendation.

Xiaoyu Du, Kun Qian, Yunshan Ma, Xinguang Xiang

CoRR, 2023

Strategy-aware Bundle Recommender System.

Yinwei Wei, Xiaohao Liu, Yunshan Ma, Xiang Wang, Liqiang Nie, Tat-Seng Chua

Proceedings of the 46th International ACM SIGIR Conference on Research and Development in Information Retrieval, 2023

Context-aware Event Forecasting via Graph Disentanglement.

Yunshan Ma, Chenchen Ye, Zijian Wu, Xiang Wang, Yixin Cao, Tat-Seng Chua

Proceedings of the 29th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2023

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

Proceedings of the 29th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2023

Diffusion Variational Autoencoder for Tackling Stochasticity in Multi-Step Regression Stock Price Prediction.

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

Proceedings of the 32nd ACM International Conference on Information and Knowledge Management, 2023

2022

Modeling Instant User Intent and Content-Level Transition for Sequential Fashion Recommendation.

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

IEEE Trans. Multim., 2022

Leveraging Multiple Relations for Fashion Trend Forecasting Based on Social Media.

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

IEEE Trans. Multim., 2022

Topic-Guided Conversational Recommender in Multiple Domains.

Lizi Liao, Ryuichi Takanobu, Yunshan Ma, Xun Yang, Minlie Huang, Tat-Seng Chua

IEEE Trans. Knowl. Data Eng., 2022

CrossCBR: Cross-view Contrastive Learning for Bundle Recommendation.

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

Proceedings of the KDD '22: The 28th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, Washington, DC, USA, August 14, 2022

2021

Dialogue State Tracking with Incremental Reasoning.

Lizi Liao, Le Hong Long, Yunshan Ma, Wenqiang Lei, Tat-Seng Chua

Trans. Assoc. Comput. Linguistics, 2021

Reproducibility Companion Paper: Knowledge Enhanced Neural Fashion Trend Forecasting.

Yunshan Ma, Yujuan Ding, Xun Yang, Lizi Liao, Wai Keung Wong, Tat-Seng Chua, Jinyoung Moon, Hong-Han Shuai

Proceedings of the ICMR '21: International Conference on Multimedia Retrieval, 2021

Leveraging Two Types of Global Graph for Sequential Fashion Recommendation.

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

Proceedings of the ICMR '21: International Conference on Multimedia Retrieval, 2021

2020

Knowledge Enhanced Neural Fashion Trend Forecasting.

Yunshan Ma, Yujuan Ding, Xun Yang, Lizi Liao, Wai Keung Wong, Tat-Seng Chua

Proceedings of the 2020 on International Conference on Multimedia Retrieval, 2020

2019

Deep Conversational Recommender in Travel.

Lizi Liao, Ryuichi Takanobu, Yunshan Ma, Xun Yang, Minlie Huang, Tat-Seng Chua

CoRR, 2019

Interpretable Fashion Matching with Rich Attributes.

Xun Yang, Xiangnan He, Xiang Wang, Yunshan Ma, Fuli Feng, Meng Wang, Tat-Seng Chua

Proceedings of the 42nd International ACM SIGIR Conference on Research and Development in Information Retrieval, 2019

Who, Where, and What to Wear?: Extracting Fashion Knowledge from Social Media.

Yunshan Ma, Xun Yang, Lizi Liao, Yixin Cao, Tat-Seng Chua

Proceedings of the 27th ACM International Conference on Multimedia, 2019

Automatic Fashion Knowledge Extraction from Social Media.

Yunshan Ma, Lizi Liao, Tat-Seng Chua

Proceedings of the 27th ACM International Conference on Multimedia, 2019

TransNFCM: Translation-Based Neural Fashion Compatibility Modeling.

Xun Yang, Yunshan Ma, Lizi Liao, Meng Wang, Tat-Seng Chua

Proceedings of the Thirty-Third AAAI Conference on Artificial Intelligence, 2019

2018

Knowledge-aware Multimodal Fashion Chatbot.

Lizi Liao, You Zhou, Yunshan Ma, Richang Hong, Tat-Seng Chua

Proceedings of the 2018 ACM Multimedia Conference on Multimedia Conference, 2018

Knowledge-aware Multimodal Dialogue Systems.

Lizi Liao, Yunshan Ma, Xiangnan He, Richang Hong, Tat-Seng Chua

Proceedings of the 2018 ACM Multimedia Conference on Multimedia Conference, 2018