Knowledge-aware Multimodal Dialogue Systems. - Lizi Liao; Yunshan Ma 002; Xiangnan He 001; Richang Hong; Tat-Seng Chua (ACM Multimedia, 2018)

Knowledge-aware Multimodal Fashion Chatbot. - Lizi Liao; You Zhou; Yunshan Ma 002; Richang Hong; Tat-Seng Chua (ACM Multimedia, 2018)

TransNFCM: Translation-Based Neural Fashion Compatibility Modeling. - Xun Yang 001; Yunshan Ma 002; Lizi Liao; Meng Wang 001; Tat-Seng Chua (AAAI, 2019)

Automatic Fashion Knowledge Extraction from Social Media. - Yunshan Ma 002; Lizi Liao; Tat-Seng Chua (ACM Multimedia, 2019)

Who, Where, and What to Wear?: Extracting Fashion Knowledge from Social Media. - Yunshan Ma 002; Xun Yang 001; Lizi Liao; Yixin Cao 002; Tat-Seng Chua (ACM Multimedia, 2019)

Interpretable Fashion Matching with Rich Attributes. - Xun Yang 001; Xiangnan He 001; Xiang Wang 010; Yunshan Ma 002; Fuli Feng; Meng Wang 001; Tat-Seng Chua (SIGIR, 2019)

Deep Conversational Recommender in Travel. - Lizi Liao; Ryuichi Takanobu; Yunshan Ma 002; Xun Yang 001; Minlie Huang; Tat-Seng Chua (CoRR, 2019)

Knowledge Enhanced Neural Fashion Trend Forecasting. - Yunshan Ma 002; Yujuan Ding; Xun Yang 001; Lizi Liao; Wai Keung Wong; Tat-Seng Chua (ICMR, 2020)

Leveraging Two Types of Global Graph for Sequential Fashion Recommendation. - Yujuan Ding; Yunshan Ma 002; Wai Keung Wong; Tat-Seng Chua (ICMR, 2021)

Reproducibility Companion Paper: Knowledge Enhanced Neural Fashion Trend Forecasting. - Yunshan Ma 002; Yujuan Ding; Xun Yang 001; Lizi Liao; Wai Keung Wong; Tat-Seng Chua; Jinyoung Moon; Hong-Han Shuai (ICMR, 2021)

Dialogue State Tracking with Incremental Reasoning. - Lizi Liao; Le Hong Long; Yunshan Ma 002; Wenqiang Lei; Tat-Seng Chua (Trans. Assoc. Comput. Linguistics, 2021)

CrossCBR: Cross-view Contrastive Learning for Bundle Recommendation. - Yunshan Ma 002; Yingzhi He; An Zhang 003; Xiang Wang 010; Tat-Seng Chua (KDD, 2022)

Topic-Guided Conversational Recommender in Multiple Domains. - Lizi Liao; Ryuichi Takanobu; Yunshan Ma 002; Xun Yang 001; Minlie Huang; Tat-Seng Chua (IEEE Trans. Knowl. Data Eng., 2022)

Leveraging Multiple Relations for Fashion Trend Forecasting Based on Social Media. - Yujuan Ding; Yunshan Ma 002; Lizi Liao; Wai Keung Wong; Tat-Seng Chua (IEEE Trans. Multim., 2022)

Modeling Instant User Intent and Content-Level Transition for Sequential Fashion Recommendation. - Yujuan Ding; Yunshan Ma 002; Wai Keung Wong; Tat-Seng Chua (IEEE Trans. Multim., 2022)

Diffusion Variational Autoencoder for Tackling Stochasticity in Multi-Step Regression Stock Price Prediction. - Kelvin J. L. Koa; Yunshan Ma 002; Ritchie Ng; Tat-Seng Chua (CIKM, 2023)

FLOOD: A Flexible Invariant Learning Framework for Out-of-Distribution Generalization on Graphs. - Yang Liu 200; Xiang Ao 001; Fuli Feng; Yunshan Ma 002; Kuan Li; Tat-Seng Chua; Qing He 003 (KDD, 2023)

Context-aware Event Forecasting via Graph Disentanglement. - Yunshan Ma 002; Chenchen Ye 001; Zijian Wu 003; Xiang Wang 010; Yixin Cao 002; Tat-Seng Chua (KDD, 2023)

Strategy-aware Bundle Recommender System. - Yinwei Wei; Xiaohao Liu; Yunshan Ma 002; Xiang Wang 010; Liqiang Nie; Tat-Seng Chua (SIGIR, 2023)

Structured, Complex and Time-complete Temporal Event Forecasting. - Yunshan Ma 002; Chenchen Ye 001; Zijian Wu 003; Xiang Wang 010; Yixin Cao 002; Liang Pang 001; Tat-Seng Chua (CoRR, 2023)

A Learning-Based Approach for Estimating Inertial Properties of Unknown Objects From Encoder Discrepancies. - Zizhou Lao; Yuanfeng Han; Yunshan Ma 002; Gregory S. Chirikjian (IEEE Robotics Autom. Lett., 2023)

Analyzing Temporal Complex Events with Large Language Models? A Benchmark towards Temporal, Long Context Understanding. - Zhihan Zhang 003; Yixin Cao 002; Chenchen Ye 001; Yunshan Ma 002; Lizi Liao; Tat-Seng Chua (ACL (1), 2024)

Hop-based Heterogeneous Graph Transformer. - Zixuan Yang 001; Xiao Wang 017; Yanhua Yu; Yuling Wang; Kangkang Lu 002; Zirui Guo; Xiting Qin; Yunshan Ma 002; Tat-Seng Chua (ECAI, 2024)

LARP: Language Audio Relational Pre-training for Cold-Start Playlist Continuation. - Rebecca Salganik; Xiaohao Liu; Yunshan Ma 002; Jian Kang 008; Tat-Seng Chua (KDD, 2024)

EE-LCE: An Event Extraction Framework Based on LLM-Generated CoT Explanation. - Yanhua Yu; Yuanlong Wang; Yunshan Ma 002; Jie Li; Kangkang Lu 002; Zhiyong Huang 010; Tat-Seng Chua (KSEM (1), 2024)

Smart Fitting Room: A One-stop Framework for Matching-aware Virtual Try-On. - Mingzhe Yu; Yunshan Ma 002; Lei Wu 002; Kai Cheng; Xue Li 010; Lei Meng 001; Tat-Seng Chua (ICMR, 2024)

MM-Forecast: A Multimodal Approach to Temporal Event Forecasting with Large Language Models. - Haoxuan Li 002; Zhengmao Yang; Yunshan Ma 002; Yi Bin; Yang Yang 002; Tat-Seng Chua (ACM Multimedia, 2024)

CIRP: Cross-Item Relational Pre-training for Multimodal Product Bundling. - Yunshan Ma 002; Yingzhi He; Wenjun Zhong; Xiang Wang 010; Roger Zimmermann; Tat-Seng Chua (ACM Multimedia, 2024)

Diffusion Models for Generative Outfit Recommendation. - Yiyan Xu; Wenjie Wang 007; Fuli Feng; Yunshan Ma 002; Jizhi Zhang; Xiangnan He 001 (SIGIR, 2024)

Leveraging Multimodal Features and Item-level User Feedback for Bundle Construction. - Yunshan Ma 002; Xiaohao Liu; Yinwei Wei; Zhulin Tao; Xiang Wang 010; Tat-Seng Chua (WSDM, 2024)

FashionReGen: LLM-Empowered Fashion Report Generation. - Yujuan Ding; Yunshan Ma 002; Wenqi Fan; Yige Yao; Tat-Seng Chua; Qing Li 001 (WWW (Companion Volume), 2024)

Learning to Generate Explainable Stock Predictions using Self-Reflective Large Language Models. - Kelvin J. L. Koa; Yunshan Ma 002; Ritchie Ng; Tat-Seng Chua (WWW, 2024)

ToDA: Target-oriented Diffusion Attacker against Recommendation System. - Xiaohao Liu; Zhulin Tao; Ting Jiang; He Chang; Yunshan Ma 002; Xianglin Huang (CoRR, 2024)

Smart Fitting Room: A Generative Approach to Matching-aware Virtual Try-On. - Mingzhe Yu; Yunshan Ma 002; Lei Wu 002; Kai Cheng; Xue Li 010; Lei Meng 001; Tat-Seng Chua (CoRR, 2024)

DiFashion: Towards Personalized Outfit Generation and Recommendation. - Yiyan Xu; Wenjie Wang 007; Fuli Feng; Yunshan Ma 002; Jizhi Zhang; Xiangnan He 001 (CoRR, 2024)

Contrastive Pre-training for Deep Session Data Understanding. - Zixuan Li 001; Lizi Liao; Yunshan Ma 002; Tat-Seng Chua (CoRR, 2024)

AttacKG+:Boosting Attack Knowledge Graph Construction with Large Language Models. - Yongheng Zhang 002; Tingwen Du; Yunshan Ma 002; Xiang Wang 010; Yi Xie; Guozheng Yang; Yuliang Lu; Ee-Chien Chang (CoRR, 2024)

A Comprehensive Evaluation of Large Language Models on Temporal Event Forecasting. - He Chang; Chenchen Ye 001; Zhulin Tao; Jie Wu; Zhengmao Yang; Yunshan Ma 002; Xianglin Huang; Tat-Seng Chua (CoRR, 2024)

Harnessing Large Language Models for Multimodal Product Bundling. - Xiaohao Liu; Jie Wu; Zhulin Tao; Yunshan Ma 002; Yinwei Wei; Tat-Seng Chua (CoRR, 2024)

AlphaEdit: Null-Space Constrained Knowledge Editing for Language Models. - Junfeng Fang; Houcheng Jiang; Kun Wang 042; Yunshan Ma 002; Xiang Wang 010; Xiangnan He 001; Tat-Seng Chua (CoRR, 2024)

Temporal Relational Reasoning of Large Language Models for Detecting Stock Portfolio Crashes. - Kelvin J. L. Koa; Yunshan Ma 002; Ritchie Ng; Huanhuan Zheng; Tat-Seng Chua (CoRR, 2024)

Headache to Overstock? Promoting Long-tail Items through Debiased Product Bundling. - Shuo Xu; Haokai Ma; Yunshan Ma 002; Xiaohao Liu; Lei Meng 001; Xiangxu Meng; Tat-Seng Chua (CoRR, 2024)

Causal Disentangled Recommendation against User Preference Shifts. - Wenjie Wang 007; Xinyu Lin 001; Liuhui Wang; Fuli Feng; Yunshan Ma 002; Tat-Seng Chua (ACM Trans. Inf. Syst., 2024)

Rule-Guided Counterfactual Explainable Recommendation. - Yinwei Wei; Xiaoyang Qu; Xiang Wang 010; Yunshan Ma 002; Liqiang Nie; Tat-Seng Chua (IEEE Trans. Knowl. Data Eng., 2024)

Filter-based Stance Network for Rumor Verification. - Jun Li 112; Yi Bin; Yunshan Ma 002; Yang Yang 002; Zi Huang; Tat-Seng Chua (ACM Trans. Inf. Syst., 2024)

MultiCBR: Multi-view Contrastive Learning for Bundle Recommendation. - Yunshan Ma 002; Yingzhi He; Xiang Wang 010; Yinwei Wei; Xiaoyu Du 002; Yuyangzi Fu; Tat-Seng Chua (ACM Trans. Inf. Syst., 2024)

International Workshop on Multimodal Generative Search and Recommendation (MMGenSR@CIKM 2025). - Yi Bin; Haoxuan Li 002; Haokai Ma; Yang Zhang 072; Wenjie Wang 007; Yunshan Ma 002; Yang Yang 002; Tat-Seng Chua (CIKM, 2025)

AlphaEdit: Null-Space Constrained Knowledge Editing for Language Models. - Junfeng Fang; Houcheng Jiang; Kun Wang 056; Yunshan Ma 002; Jie Shi 005; Xiang Wang 010; Xiangnan He 001; Tat-Seng Chua (ICLR, 2025)

LLM2Rec: Large Language Models Are Powerful Embedding Models for Sequential Recommendation. - Yingzhi He; Xiaohao Liu; An Zhang 003; Yunshan Ma 002; Tat-Seng Chua (KDD (2), 2025)

Fine-tuning Multimodal Large Language Models for Product Bundling. - Xiaohao Liu; Jie Wu; Zhulin Tao; Yunshan Ma 002; Yinwei Wei; Tat-Seng Chua (KDD (1), 2025)

GenWardrobe: A Fully Generative System for Travel Fashion Wardrobe Construction. - Peng Jin; Yilin Wen 009; Mingzhe Yu; Yunshan Ma 002; Rong Zheng; Jintu Fan; Chong Wah Ngo (ACM Multimedia, 2025)

VibeMus: Proactive Agentic System for Music Personalization. - Zhiliang Guo; Teng Tu 002; Yunshan Ma 002; Xun Yang 001 (MMAsia, 2025)

FashionDPO: Fine-tune Fashion Outfit Generation Model using Direct Preference Optimization. - Mingzhe Yu; Yunshan Ma 002; Lei Wu 002; Changshuo Wang 003; Xue Li 010; Lei Meng 001 (SIGIR, 2025)

FinIR: The 2nd Workshop on Financial Information Retrieval in the Era of Generative AI. - Fengbin Zhu; Yunshan Ma 002; Fuli Feng; Chao Wang 049; Huanbo Luan; Guangnan Ye; Shuo Zhang 006; Dhagash Mehta; Pingping Chen 004; Bing Xiang; Tat-Seng Chua (SIGIR, 2025)

AttacKG+: Boosting attack graph construction with Large Language Models. - Yongheng Zhang 002; Tingwen Du; Yunshan Ma 002; Xiang Wang 010; Yi Xie; Guozheng Yang; Yuliang Lu; Ee-Chien Chang (Comput. Secur., 2025)

Integrate Temporal Graph Learning into LLM-based Temporal Knowledge Graph Model. - He Chang; Jie Wu; Zhulin Tao; Yunshan Ma 002; Xianglin Huang; Tat-Seng Chua (CoRR, 2025)

AttackSeqBench: Benchmarking Large Language Models' Understanding of Sequential Patterns in Cyber Attacks. - Javier Yong; Haokai Ma; Yunshan Ma 002; Anis Yusof; Zhenkai Liang; Ee-Chien Chang (CoRR, 2025)

Extending Visual Dynamics for Video-to-Music Generation. - Xiaohao Liu; Teng Tu 002; Yunshan Ma 002; Tat-Seng Chua (CoRR, 2025)

Large Language Model Empowered Recommendation Meets All-domain Continual Pre-Training. - Haokai Ma; Yunshan Ma 002; Ruobing Xie; Lei Meng 001; Jialie Shen 001; Xingwu Sun; Zhanhui Kang; Tat-Seng Chua (CoRR, 2025)

Distilling Transitional Pattern to Large Language Models for Multimodal Session-based Recommendation. - Jiajie Su; Qiyong Zhong; Yunshan Ma 002; Yuwei Liu; Chao-Chao Chen 001; Xiaolin Zheng; Jianwei Yin; Tat-Seng Chua (CoRR, 2025)

FashionDPO:Fine-tune Fashion Outfit Generation Model using Direct Preference Optimization. - Mingzhe Yu; Yunshan Ma 002; Lei Wu 002; Changshuo Wang 003; Xue Li 010; Lei Meng 001 (CoRR, 2025)

SemCORE: A Semantic-Enhanced Generative Cross-Modal Retrieval Framework with MLLMs. - Haoxuan Li 002; Yi Bin; Yunshan Ma 002; Guoyin Wang 001; Yang Yang 002; See-Kiong Ng; Tat-Seng Chua (CoRR, 2025)

Enhancing Item-level Bundle Representation for Bundle Recommendation. - Xiaoyu Du 002; Kun Qian; Yunshan Ma 002; Xinguang Xiang (Trans. Recomm. Syst., 2025)

Pctx: Tokenizing Personalized Context for Generative Recommendation. - Qiyong Zhong; Jiajie Su; Yunshan Ma 002; Julian J. McAuley; Yupeng Hou (CoRR, 2025)

A Remarkably Efficient Paradigm to Multimodal Large Language Models for Sequential Recommendation. - Qiyong Zhong; Jiajie Su; Ming Yang; Yunshan Ma 002; Xiaolin Zheng; Chaochao Chen 001 (CoRR, 2025)

Reasoning on Time-Series for Financial Technical Analysis. - Kelvin J. L. Koa; Jan Chen; Yunshan Ma 002; Huanhuan Zheng; Tat-Seng Chua (CoRR, 2025)

Potent but Stealthy: Rethink Profile Pollution against Sequential Recommendation via Bi-level Constrained Reinforcement Paradigm. - Jiajie Su; Zihan Nan; Yunshan Ma 002; Xiaobo Xia; Xiaohua Feng 002; Weiming Liu 005; Xiaolin Zheng; Chaochao Chen 001 (CoRR, 2025)

HV-Attack: Hierarchical Visual Attack for Multimodal Retrieval Augmented Generation. - Linyin Luo; Yujuan Ding; Yunshan Ma 002; Wenqi Fan; Hanjiang Lai (CoRR, 2025)

Website Owner Identification through Multi-level Contrastive Representation Learning. - Cheng Tu; Yunshan Ma 002; Yang Li 215; Min Zhang 054; Miao Hu; Fan Shi 003; Xiang Wang 010 (ACM Trans. Knowl. Discov. Data, 2025)

Frozen LVLMs for Micro-Video Recommendation: A Systematic Study of Feature Extraction and Fusion. - Huatuan Sun; Yunshan Ma 002; Changguang Wu; Yanxin Zhang; Pengfei Wang; Xiaoyu Du 002 (CoRR, 2025)

Potent but Stealthy: Rethink Profile Pollution Against Sequential Recommendation via Bi-Level Constrained Reinforcement Paradigm. - Jiajie Su; Zihan Nan; Yunshan Ma 002; Xiaobo Xia; Xiaohua Feng 002; Weiming Liu 005; Xiang Chen; Xiaolin Zheng; Chaochao Chen 001 (AAAI, 2026)

PortfolioPilot: An Agentic Platform for Financial Portfolio Management Algorithm Development and Evaluation. - Jared Chan Xu Yang; Haokai Ma; Yunshan Ma 002 (AAAI, 2026)

Integrating Symbolic and Waveform Music Into Large Language Models. - Teng Tu 002; Xiaohao Liu; Yunshan Ma 002; Ji Qi 003; Tat-Seng Chua (MMM (2), 2026)

ThinkTank-ME: A Multi-Expert Framework for Middle East Event Forecasting. - Haoxuan Li 002; He Chang; Yunshan Ma 002; Yi Bin; Yang Yang 002; See-Kiong Ng; Tat-Seng Chua (WWW, 2026)

Addressing graph heterogeneity and heterophily from a spectral perspective. - Kangkang Lu 002; Yanhua Yu; Ruopei Guo; Nan Cheng; Zhiyong Huang 010; Yunshan Ma 002; Meiyu Liang; Yuling Wang; Xiting Qin; Yimeng Ren 001; Tat-Seng Chua (Neurocomputing, 2026)

MM-AttacKG: A multimodal approach to attack graph construction with large language models. - Yongheng Zhang 002; Xinyun Zhao; Yunshan Ma 002; Haokai Ma; Yingxiao Guan; Guozheng Yang; Yuliang Lu; Xiang Wang 010 (Knowl. Based Syst., 2026)

iTIMO: An LLM-empowered Synthesis Dataset for Travel Itinerary Modification. - Zhuoxuan Huang; Yunshan Ma 002; Hongyu Zhang; Hua Ma; Zhu Sun 001 (CoRR, 2026)

Generalizable Multimodal Large Language Model Editing via Invariant Trajectory Learning. - Jiajie Su; Haoyuan Wang; Xiaohua Feng 002; Yunshan Ma 002; Xiaobo Xia; Yuyuan Li 001; Xiaolin Zheng; Jianmao Xiao; Chaochao Chen 001 (CoRR, 2026)

MusicSem: A Semantically Rich Language-Audio Dataset of Natural Music Descriptions. - Rebecca Salganik; Teng Tu 002; Fei-Yueh Chen; Xiaohao Liu; Keifeng Lu; Ethan Luvisia; Zhiyao Duan; Guillaume Salha-Galvan; Anson Kahng; Yunshan Ma 002; Jian Kang 008 (CoRR, 2026)

Less Approximates More: Harmonizing Performance and Confidence Faithfulness via Hybrid Post-Training for High-Stakes Tasks. - Haokai Ma; Lee Yan Zhen; Gang Yang 001; Yunshan Ma 002; Ee-Chien Chang; Tat-Seng Chua (CoRR, 2026)

MAB-DQA: Addressing Query Aspect Importance in Document Question Answering with Multi-Armed Bandits. - Yixin Xiang; Yunshan Ma 002; Xiaoyu Du 002; Yibing Chen; Yanxin Zhang; Jinhui Tang 001 (CoRR, 2026)

FashionStylist: An Expert Knowledge-enhanced Multimodal Dataset for Fashion Understanding. - Kaidong Feng; Zhuoxuan Huang; Huizhong Guo 001; Yuting Jin; Xinyu Chen; Yue Liang; Yifei Gai; Li Zhou; Yunshan Ma 002; Zhu Sun 001 (CoRR, 2026)

Scattered Hypothesis Generation for Open-Ended Event Forecasting. - He Chang; Zhulin Tao; Lifang Yang; Xianglin Huang; Yunshan Ma 002 (CoRR, 2026)