jie wang
Research title: Multimodal Understanding and Applications in Recommendation
Publications
2024
Warke, O. , Jose, J. , Breitsohl, J. and Wang, J. (2024) Capturing the Spectrum of Social Media Conflict: A Novel Multi-objective Classification Model. In: 14th International Conference on the Theory of Information Retrieval (ICTIR 2024), Washington D.C., USA, 13 July 2024, pp. 215-225. ISBN 9798400706813 (doi: 10.1145/3664190.3672510)
Wang, J., Karatzoglou, A., Arapakis, I., Xin, X., Ge, X. and Jose, J. (2024) Sparks of Surprise: Multi-Objective Recommendations with Hierarchical Decision Transformers for Diversity, Novelty, and Serendipity. In: 33rd ACM International Conference on Information and Knowledge Management (CIKM) 2024, Boise, ID, USA, 21 – 25 October 2024, (Accepted for Publication)
Wang, J., Karatzoglou, A., Arapakis, I. and Jose, J. M. (2024) Reinforcement Learning-based Recommender Systems with Large Language Models for State Reward and Action Modeling. In: 47th International ACM SIGIR Conference on Research and Development in Information Retrieval, Washington D.C., USA, 14-18 July 2024, pp. 375-385. ISBN 9798400704314 (doi: 10.1145/3626772.3657767)
Wang, J., Yuan, F., Cheng, M., Jose, J. M. , Yu, C., Kong, B., Wang, Z., Hu, B. and Li, Z. (2024) TransRec: Learning Transferable Recommendation from Mixture-of-Modality Feedback. In: 8th APWeb-WAIM Joint International Conference on Web and Big Data, Jinhua, China, 30 August - 1 September 2024, (Accepted for Publication)
Wang, J., Bansal, K., Arapakis, I., Ge, X. and Jose, J. M. (2024) Empowering Legal Citation Recommendation via Efficient Instruction-Tuning of Pre-trained Language Models. In: 46th European Conference on Information Retrieval (ECIR2024), Glasgow, Scotland, 24-28 March 2024, pp. 310-324. ISBN 9783031560262 (doi: 10.1007/978-3-031-56027-9_19)
Conference Proceedings
Warke, O. , Jose, J. , Breitsohl, J. and Wang, J. (2024) Capturing the Spectrum of Social Media Conflict: A Novel Multi-objective Classification Model. In: 14th International Conference on the Theory of Information Retrieval (ICTIR 2024), Washington D.C., USA, 13 July 2024, pp. 215-225. ISBN 9798400706813 (doi: 10.1145/3664190.3672510)
Wang, J., Karatzoglou, A., Arapakis, I., Xin, X., Ge, X. and Jose, J. (2024) Sparks of Surprise: Multi-Objective Recommendations with Hierarchical Decision Transformers for Diversity, Novelty, and Serendipity. In: 33rd ACM International Conference on Information and Knowledge Management (CIKM) 2024, Boise, ID, USA, 21 – 25 October 2024, (Accepted for Publication)
Wang, J., Karatzoglou, A., Arapakis, I. and Jose, J. M. (2024) Reinforcement Learning-based Recommender Systems with Large Language Models for State Reward and Action Modeling. In: 47th International ACM SIGIR Conference on Research and Development in Information Retrieval, Washington D.C., USA, 14-18 July 2024, pp. 375-385. ISBN 9798400704314 (doi: 10.1145/3626772.3657767)
Wang, J., Yuan, F., Cheng, M., Jose, J. M. , Yu, C., Kong, B., Wang, Z., Hu, B. and Li, Z. (2024) TransRec: Learning Transferable Recommendation from Mixture-of-Modality Feedback. In: 8th APWeb-WAIM Joint International Conference on Web and Big Data, Jinhua, China, 30 August - 1 September 2024, (Accepted for Publication)
Wang, J., Bansal, K., Arapakis, I., Ge, X. and Jose, J. M. (2024) Empowering Legal Citation Recommendation via Efficient Instruction-Tuning of Pre-trained Language Models. In: 46th European Conference on Information Retrieval (ECIR2024), Glasgow, Scotland, 24-28 March 2024, pp. 310-324. ISBN 9783031560262 (doi: 10.1007/978-3-031-56027-9_19)