Jie Wang

According to our database, Jie Wang authored at least 13 papers between 2020 and 2024.

Collaborative distances:

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

2024

3SHNet: Boosting image-sentence retrieval via visual semantic-spatial self-highlighting.

Xuri Ge, Songpei Xu, Fuhai Chen, Jie Wang, Guoxin Wang, Shan An, Joemon M. Jose

Inf. Process. Manag., 2024

Hire: Hybrid-modal Interaction with Multiple Relational Enhancements for Image-Text Matching.

Xuri Ge, Fuhai Chen, Songpei Xu, Fuxiang Tao, Jie Wang, Joemon M. Jose

CoRR, 2024

Exploring Adapter-based Transfer Learning for Recommender Systems: Empirical Studies and Practical Insights.

Junchen Fu, Fajie Yuan, Yu Song, Zheng Yuan, Mingyue Cheng, Shenghui Cheng, Jiaqi Zhang, Jie Wang, Yunzhu Pan

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

Reinforcement Learning-based Recommender Systems with Large Language Models for State Reward and Action Modeling.

Jie Wang, Alexandros Karatzoglou, Ioannis Arapakis, Joemon M. Jose

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

IISAN: Efficiently Adapting Multimodal Representation for Sequential Recommendation with Decoupled PEFT.

Junchen Fu, Xuri Ge, Xin Xin, Alexandros Karatzoglou, Ioannis Arapakis, Jie Wang, Joemon M. Jose

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

Capturing the Spectrum of Social Media Conflict: A Novel Multi-objective Classification Model.

Oliver Warke, Joemon M. Jose, Jan Breitsohl, Jie Wang

Proceedings of the 2024 ACM SIGIR International Conference on Theory of Information Retrieval, 2024

Empowering Legal Citation Recommendation via Efficient Instruction-Tuning of Pre-trained Language Models.

Jie Wang, Kanha Bansal, Ioannis Arapakis, Xuri Ge, Joemon M. Jose

Proceedings of the Advances in Information Retrieval, 2024

Sparks of Surprise: Multi-objective Recommendations with Hierarchical Decision Transformers for Diversity, Novelty, and Serendipity.

Jie Wang, Alexandros Karatzoglou, Ioannis Arapakis, Xin Xin, Xuri Ge, Joemon M. Jose

Proceedings of the 33rd ACM International Conference on Information and Knowledge Management, 2024

TransRec: Learning Transferable Recommendation from Mixture-of-Modality Feedback.

Jie Wang, Fajie Yuan, Mingyue Cheng, Joemon M. Jose, Chenyun Yu, Beibei Kong, Zhijin Wang, Bo Hu, Zang Li

Proceedings of the Web and Big Data - 8th International Joint Conference, 2024

2023

NineRec: A Benchmark Dataset Suite for Evaluating Transferable Recommendation.

Jiaqi Zhang, Yu Cheng, Yongxin Ni, Yunzhu Pan, Zheng Yuan, Junchen Fu, Youhua Li, Jie Wang, Fajie Yuan

CoRR, 2023

2022

Neighborhood Constraints Based Bayesian Personalized Ranking for Explainable Recommendation.

Tingxuan Zhang, Li Zhu, Jie Wang

Proceedings of the Web and Big Data - 6th International Joint Conference, 2022

2021

Low-rank and sparse matrix factorization with prior relations for recommender systems.

Jie Wang, Li Zhu, Tao Dai, Qiannan Xu, Tianyu Gao

Appl. Intell., 2021

2020

Deep memory network with Bi-LSTM for personalized context-aware citation recommendation.

Jie Wang, Li Zhu, Tao Dai, Yabin Wang

Neurocomputing, 2020