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Yunshan Ma
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2020 – today
- 2024
- [j10]Yinwei Wei
, Xiaoyang Qu
Rule-Guided Counterfactual Explainable Recommendation. IEEE Trans. Knowl. Data Eng. 36(5): 2179-2190 (2024) - [j9]Wenjie Wang
Causal Disentangled Recommendation against User Preference Shifts. ACM Trans. Inf. Syst. 42(1): 12:1-12:27 (2024) - [j8]Yunshan Ma
MultiCBR: Multi-view Contrastive Learning for Bundle Recommendation. ACM Trans. Inf. Syst. 42(4): 100:1-100:23 (2024) - [j7]Jun Li
Filter-based Stance Network for Rumor Verification. ACM Trans. Inf. Syst. 42(4): 108:1-108:28 (2024) - [c25]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: 1588-1606 - [c24]Zixuan Yang, Xiao Wang, Yanhua Yu, Yuling Wang, Kangkang Lu, Zirui Guo, Xiting Qin, Yunshan Ma, Tat-Seng Chua:
Hop-based Heterogeneous Graph Transformer. ECAI 2024: 2346-2353 - [c23]Rebecca Salganik
LARP: Language Audio Relational Pre-training for Cold-Start Playlist Continuation. KDD 2024: 2524-2535 - [c22]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: 28-40 - [c21]Mingzhe Yu
Smart Fitting Room: A One-stop Framework for Matching-aware Virtual Try-On. ICMR 2024: 184-192 - [c20]Haoxuan Li
MM-Forecast: A Multimodal Approach to Temporal Event Forecasting with Large Language Models. ACM Multimedia 2024: 2776-2785 - [c19]Yunshan Ma
CIRP: Cross-Item Relational Pre-training for Multimodal Product Bundling. ACM Multimedia 2024: 9641-9649 - [c18]Yiyan Xu
Diffusion Models for Generative Outfit Recommendation. SIGIR 2024: 1350-1359 - [c17]Yunshan Ma
Leveraging Multimodal Features and Item-level User Feedback for Bundle Construction. WSDM 2024: 510-519 - [c16]Yujuan Ding
FashionReGen: LLM-Empowered Fashion Report Generation. WWW (Companion Volume) 2024: 991-994 - [c15]Kelvin J. L. Koa
Learning to Generate Explainable Stock Predictions using Self-Reflective Large Language Models. WWW 2024: 4304-4315 - [i31]Xiaohao Liu, Zhulin Tao, Ting Jiang, He Chang, Yunshan Ma, Xianglin Huang:
ToDA: Target-oriented Diffusion Attacker against Recommendation System. CoRR abs/2401.12578 (2024) - [i30]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 abs/2401.16825 (2024) - [i29]Kelvin J. L. Koa, Yunshan Ma, Ritchie Ng, Tat-Seng Chua:
Learning to Generate Explainable Stock Predictions using Self-Reflective Large Language Models. CoRR abs/2402.03659 (2024) - [i28]Yiyan Xu, Wenjie Wang, Fuli Feng, Yunshan Ma, Jizhi Zhang, Xiangnan He:
DiFashion: Towards Personalized Outfit Generation and Recommendation. CoRR abs/2402.17279 (2024) - [i27]Zixuan Li, Lizi Liao, Yunshan Ma, Tat-Seng Chua:
Contrastive Pre-training for Deep Session Data Understanding. CoRR abs/2403.02825 (2024) - [i26]Yujuan Ding, Yunshan Ma, Wenqi Fan, Yige Yao, Tat-Seng Chua, Qing Li:
FashionReGen: LLM-Empowered Fashion Report Generation. CoRR abs/2403.06660 (2024) - [i25]Yunshan Ma, Yingzhi He, Wenjun Zhong, Xiang Wang, Roger Zimmermann, Tat-Seng Chua:
CIRP: Cross-Item Relational Pre-training for Multimodal Product Bundling. CoRR abs/2404.01735 (2024) - [i24]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 abs/2405.04753 (2024) - [i23]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 abs/2406.02472 (2024) - [i22]Rebecca Salganik, Xiaohao Liu, Yunshan Ma, Jian Kang, Tat-Seng Chua:
LARP: Language Audio Relational Pre-training for Cold-Start Playlist Continuation. CoRR abs/2406.14333 (2024) - [i21]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 abs/2407.11638 (2024) - [i20]Xiaohao Liu, Jie Wu, Zhulin Tao, Yunshan Ma, Yinwei Wei, Tat-Seng Chua:
Harnessing Large Language Models for Multimodal Product Bundling. CoRR abs/2407.11712 (2024) - [i19]Haoxuan Li, Zhengmao Yang, Yunshan Ma, Yi Bin, Yang Yang, Tat-Seng Chua:
MM-Forecast: A Multimodal Approach to Temporal Event Forecasting with Large Language Models. CoRR abs/2408.04388 (2024) - [i18]Junfeng Fang, Houcheng Jiang, Kun Wang, Yunshan Ma, Xiang Wang, Xiangnan He, Tat-Seng Chua:
AlphaEdit: Null-Space Constrained Knowledge Editing for Language Models. CoRR abs/2410.02355 (2024) - [i17]Kelvin J. L. Koa, Yunshan Ma, Ritchie Ng, Huanhuan Zheng, Tat-Seng Chua:
Temporal Relational Reasoning of Large Language Models for Detecting Stock Portfolio Crashes. CoRR abs/2410.17266 (2024) - 2023
- [j6]Yujuan Ding
Personalized fashion outfit generation with user coordination preference learning. Inf. Process. Manag. 60(5): 103434 (2023) - [j5]Zizhou Lao
A Learning-Based Approach for Estimating Inertial Properties of Unknown Objects From Encoder Discrepancies. IEEE Robotics Autom. Lett. 8(9): 5283-5290 (2023) - [c14]Kelvin J. L. Koa
Diffusion Variational Autoencoder for Tackling Stochasticity in Multi-Step Regression Stock Price Prediction. CIKM 2023: 1087-1096 - [c13]Yang Liu
FLOOD: A Flexible Invariant Learning Framework for Out-of-Distribution Generalization on Graphs. KDD 2023: 1548-1558 - [c12]Yunshan Ma
Context-aware Event Forecasting via Graph Disentanglement. KDD 2023: 1643-1652 - [c11]Yinwei Wei
Strategy-aware Bundle Recommender System. SIGIR 2023: 1198-1207 - [i16]Wenjie Wang, Xinyu Lin, Liuhui Wang, Fuli Feng, Yunshan Ma, Tat-Seng Chua:
Causal Disentangled Recommendation Against User Preference Shifts. CoRR abs/2303.16068 (2023) - [i15]Yunshan Ma, Chenchen Ye, Zijian Wu, Xiang Wang, Yixin Cao, Tat-Seng Chua:
Context-aware Event Forecasting via Graph Disentanglement. CoRR abs/2308.06480 (2023) - [i14]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 abs/2309.00073 (2023) - [i13]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 abs/2310.18770 (2023) - [i12]Yunshan Ma, Yingzhi He, Xiang Wang, Yinwei Wei, Xiaoyu Du, Yuyangzi Fu, Tat-Seng Chua:
MultiCBR: Multi-view Contrastive Learning for Bundle Recommendation. CoRR abs/2311.16751 (2023) - [i11]Xiaoyu Du, Kun Qian, Yunshan Ma, Xinguang Xiang:
Enhancing Item-level Bundle Representation for Bundle Recommendation. CoRR abs/2311.16892 (2023) - [i10]Yunshan Ma, Chenchen Ye, Zijian Wu, Xiang Wang, Yixin Cao, Liang Pang, Tat-Seng Chua:
Structured, Complex and Time-complete Temporal Event Forecasting. CoRR abs/2312.01052 (2023) - 2022
- [j4]Lizi Liao
Topic-Guided Conversational Recommender in Multiple Domains. IEEE Trans. Knowl. Data Eng. 34(5): 2485-2496 (2022) - [j3]Yujuan Ding
Leveraging Multiple Relations for Fashion Trend Forecasting Based on Social Media. IEEE Trans. Multim. 24: 2287-2299 (2022) - [j2]Yujuan Ding
Modeling Instant User Intent and Content-Level Transition for Sequential Fashion Recommendation. IEEE Trans. Multim. 24: 2687-2700 (2022) - [c10]Yunshan Ma, Yingzhi He, An Zhang, Xiang Wang, Tat-Seng Chua:
CrossCBR: Cross-view Contrastive Learning for Bundle Recommendation. KDD 2022: 1233-1241 - [i9]Yunshan Ma, Yingzhi He, An Zhang, Xiang Wang, Tat-Seng Chua:
CrossCBR: Cross-view Contrastive Learning for Bundle Recommendation. CoRR abs/2206.00242 (2022) - 2021
- [j1]Lizi Liao
Dialogue State Tracking with Incremental Reasoning. Trans. Assoc. Comput. Linguistics 9: 557-569 (2021) - [c9]Yujuan Ding, Yunshan Ma, Wai Keung Wong
Leveraging Two Types of Global Graph for Sequential Fashion Recommendation. ICMR 2021: 73-81 - [c8]Yunshan Ma, Yujuan Ding, Xun Yang, Lizi Liao
Reproducibility Companion Paper: Knowledge Enhanced Neural Fashion Trend Forecasting. ICMR 2021: 615-618 - [i8]Yujuan Ding, Yunshan Ma, Lizi Liao, Wai Keung Wong, Tat-Seng Chua:
Leveraging Multiple Relations for Fashion Trend Forecasting Based on Social Media. CoRR abs/2105.03299 (2021) - [i7]Yujuan Ding, Yunshan Ma, Wai Keung Wong, Tat-Seng Chua:
Leveraging Two Types of Global Graph for Sequential Fashion Recommendation. CoRR abs/2105.07585 (2021) - [i6]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 abs/2105.11826 (2021) - 2020
- [c7]Yunshan Ma, Yujuan Ding, Xun Yang, Lizi Liao
Knowledge Enhanced Neural Fashion Trend Forecasting. ICMR 2020: 82-90 - [i5]Yunshan Ma, Yujuan Ding, Xun Yang, Lizi Liao, Wai Keung Wong, Tat-Seng Chua:
Knowledge Enhanced Neural Fashion Trend Forecasting. CoRR abs/2005.03297 (2020)
2010 – 2019
- 2019
- [c6]Xun Yang, Yunshan Ma, Lizi Liao
TransNFCM: Translation-Based Neural Fashion Compatibility Modeling. AAAI 2019: 403-410 - [c5]Yunshan Ma, Xun Yang, Lizi Liao
Who, Where, and What to Wear?: Extracting Fashion Knowledge from Social Media. ACM Multimedia 2019: 257-265 - [c4]Yunshan Ma, Lizi Liao
Automatic Fashion Knowledge Extraction from Social Media. ACM Multimedia 2019: 2223-2224 - [c3]Xun Yang, Xiangnan He, Xiang Wang, Yunshan Ma, Fuli Feng, Meng Wang, Tat-Seng Chua:
Interpretable Fashion Matching with Rich Attributes. SIGIR 2019: 775-784 - [i4]Lizi Liao, Ryuichi Takanobu, Yunshan Ma, Xun Yang, Minlie Huang, Tat-Seng Chua:
Deep Conversational Recommender in Travel. CoRR abs/1907.00710 (2019) - [i3]Yunshan Ma, Lizi Liao, Tat-Seng Chua:
Automatic Fashion Knowledge Extraction from Social Media. CoRR abs/1908.04045 (2019) - [i2]Yunshan Ma, Xun Yang, Lizi Liao, Yixin Cao, Tat-Seng Chua:
Who, Where, and What to Wear? Extracting Fashion Knowledge from Social Media. CoRR abs/1908.08985 (2019) - 2018
- [c2]Lizi Liao
Knowledge-aware Multimodal Dialogue Systems. ACM Multimedia 2018: 801-809 - [c1]Lizi Liao
Knowledge-aware Multimodal Fashion Chatbot. ACM Multimedia 2018: 1265-1266 - [i1]Xun Yang, Yunshan Ma, Lizi Liao, Meng Wang, Tat-Seng Chua:
TransNFCM: Translation-Based Neural Fashion Compatibility Modeling. CoRR abs/1812.10021 (2018)
Coauthor Index
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last updated on 2024-12-01 00:19 CET by the dblp team
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