| 2026 | AAAI | Potent but Stealthy: Rethink Profile Pollution Against Sequential Recommendation via Bi-Level Constrained Reinforcement Paradigm. | Jiajie Su, Zihan Nan, Yunshan Ma, Xiaobo Xia, Xiaohua Feng, Weiming Liu, Xiang Chen, Xiaolin Zheng, Chaochao Chen |
| 2026 | AAAI | PortfolioPilot: An Agentic Platform for Financial Portfolio Management Algorithm Development and Evaluation. | Jared Chan Xu Yang, Haokai Ma, Yunshan Ma |
| 2026 | ACL | Scattered Hypothesis Generation for Open-Ended Event Forecasting. | He Chang, Zhulin Tao, Lifang Yang, Xianglin Huang, Yunshan Ma |
| 2026 | ACL | MAB-DQA: Addressing Query Aspect Importance in Document Question Answering with Multi-Armed Bandits. | Yixin Xiang, Yunshan Ma, Xiaoyu Du, Yibing Chen, Yanxin Zhang, Jinhui Tang |
| 2026 | MMM | Integrating Symbolic and Waveform Music Into Large Language Models. | Teng Tu, Xiaohao Liu, Yunshan Ma, Ji Qi, Tat-Seng Chua |
| 2026 | PAKDD | Rethinking NL2VIS: A Comparative Survey of LLM-Based Natural-Language-to-Visualisation Frameworks. | Hock Lin Tai, Yunshan Ma, Zhaoxia Wang |
| 2026 | WWW | ThinkTank-ME: A Multi-Expert Framework for Middle East Event Forecasting. | Haoxuan Li, He Chang, Yunshan Ma, Yi Bin, Yang Yang, See-Kiong Ng, Tat-Seng Chua |
| 2026 | SIGIR | iTIMO: An LLM-empowered Synthesis Dataset for Travel Itinerary Modification. | Zhuoxuan Huang, Yunshan Ma, Hongyu Zhang, Hua Ma, Zhu Sun |
| 2026 | SIGIR | Dual-Diffusional Generative Fashion Recommendation. | Mingzhe Yu, Lei Wu, Qianru Sun, Yunshan Ma |
| 2025 | CIKM | International Workshop on Multimodal Generative Search and Recommendation (MMGenSR@CIKM 2025). | Yi Bin, Haoxuan Li, Haokai Ma, Yang Zhang, Wenjie Wang, Yunshan Ma, Yang Yang, Tat-Seng Chua |
| 2025 | ICLR | AlphaEdit: Null-Space Constrained Knowledge Editing for Language Models. | Junfeng Fang, Houcheng Jiang, Kun Wang, Yunshan Ma, Jie Shi, Xiang Wang, Xiangnan He, Tat-Seng Chua |
| 2025 | KDD | LLM2Rec: Large Language Models Are Powerful Embedding Models for Sequential Recommendation. | Yingzhi He, Xiaohao Liu, An Zhang, Yunshan Ma, Tat-Seng Chua |
| 2025 | KDD | Fine-tuning Multimodal Large Language Models for Product Bundling. | Xiaohao Liu, Jie Wu, Zhulin Tao, Yunshan Ma, Yinwei Wei, Tat-Seng Chua |
| 2025 | SIGIR | FashionDPO: Fine-tune Fashion Outfit Generation Model using Direct Preference Optimization. | Mingzhe Yu, Yunshan Ma, Lei Wu, Changshuo Wang, Xue Li, Lei Meng |
| 2025 | SIGIR | FinIR: The 2nd Workshop on Financial Information Retrieval in the Era of Generative AI. | Fengbin Zhu, Yunshan Ma, Fuli Feng, Chao Wang, Huanbo Luan, Guangnan Ye, Shuo Zhang, Dhagash Mehta, Pingping Chen, Bing Xiang, Tat-Seng Chua |
| 2024 | ACL | 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 |
| 2024 | ECAI | Hop-based Heterogeneous Graph Transformer. | Zixuan Yang, Xiao Wang, Yanhua Yu, Yuling Wang, Kangkang Lu, Zirui Guo, Xiting Qin, Yunshan Ma, Tat-Seng Chua |
| 2024 | KDD | LARP: Language Audio Relational Pre-training for Cold-Start Playlist Continuation. | Rebecca Salganik, Xiaohao Liu, Yunshan Ma, Jian Kang, Tat-Seng Chua |
| 2024 | KSEM | 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 |
| 2024 | WWW | FashionReGen: LLM-Empowered Fashion Report Generation. | Yujuan Ding, Yunshan Ma, Wenqi Fan, Yige Yao, Tat-Seng Chua, Qing Li |
| 2024 | WWW | Learning to Generate Explainable Stock Predictions using Self-Reflective Large Language Models. | Kelvin J. L. Koa, Yunshan Ma, Ritchie Ng, Tat-Seng Chua |
| 2024 | SIGIR | Diffusion Models for Generative Outfit Recommendation. | Yiyan Xu, Wenjie Wang, Fuli Feng, Yunshan Ma, Jizhi Zhang, Xiangnan He |
| 2024 | WSDM | 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 | CIKM | Diffusion Variational Autoencoder for Tackling Stochasticity in Multi-Step Regression Stock Price Prediction. | Kelvin J. L. Koa, Yunshan Ma, Ritchie Ng, Tat-Seng Chua |
| 2023 | KDD | 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 |
| 2023 | KDD | Context-aware Event Forecasting via Graph Disentanglement. | Yunshan Ma, Chenchen Ye, Zijian Wu, Xiang Wang, Yixin Cao, Tat-Seng Chua |
| 2023 | SIGIR | Strategy-aware Bundle Recommender System. | Yinwei Wei, Xiaohao Liu, Yunshan Ma, Xiang Wang, Liqiang Nie, Tat-Seng Chua |
| 2022 | KDD | CrossCBR: Cross-view Contrastive Learning for Bundle Recommendation. | Yunshan Ma, Yingzhi He, An Zhang, Xiang Wang, Tat-Seng Chua |
| 2019 | AAAI | TransNFCM: Translation-Based Neural Fashion Compatibility Modeling. | Xun Yang, Yunshan Ma, Lizi Liao, Meng Wang, Tat-Seng Chua |
| 2019 | SIGIR | Interpretable Fashion Matching with Rich Attributes. | Xun Yang, Xiangnan He, Xiang Wang, Yunshan Ma, Fuli Feng, Meng Wang, Tat-Seng Chua |