Personal Information
Research Interest:
Recommendation System, Data Mining, Natural Language Processing.
Email: g22dtsa7@yamanashi.ac.jp; kaysenn@163.com
Site: Google Scholar; Github
Octorber 2022-- September 2025
Knowledge Processing Group (Fukumoto and Li Laboratory)
Ph.D. in Computer Science, University of Yamanashi, Japan
September 2019-- July 2022
Intelligent Information Processing and Software Engineering Laboratory (DBSI Laboratory)
Knowledge Processing Group (Fukumoto and Li Laboratory)
Dual M.S. in Computer Science, Hangzhou Dianzi University, China & University of Yamanashi, Japan
September 2014-- July 2018
Bachelor of Software Engineering, Hangzhou Dianzi University Information Engineering School, China
Publication
2024
Xinfeng Wang, Jin Cui, Yoshimi Suzuki, Fumiyo Fukumoto. RDRec: Rationale Distillation for LLM-based Recommendation. Proceedings of the 62nd Annual Meeting of the Association for Computational Linguistics (Volume 2: Short Papers) (ACL 2024), to appear.
Xinfeng Wang, Fumiyo Fukumoto, Jin Cui, Yoshimi Suzuki, Jiyi Li, Dongjin Yu. CaDRec: Contextualized and Debiased Recommender Model. In Proceedings of the 47th International ACM SIGIR Conference on Research and Development in Information Retrieval (SIGIR 2024), to appear.
Xinfeng Wang, Fumiyo Fukumoto, Jin Cui, Yoshimi Suzuki, Dongjin Yu. NFARec: A Negative Feedback-Aware Recommender Model. In Proceedings of the 47th International ACM SIGIR Conference on Research and Development in Information Retrieval (SIGIR 2024), to appear.
Jin Cui, Fumiyo Fukumoto, Xinfeng Wang, Yoshimi Suzuki, Jiyi Li, Noriko Tomuro and Wanzeng Kong. Enhanced Coherence-Aware Network with Hierarchical Disentanglement for Aspect-Category Sentiment Analysis. The 2024 Joint International Conference on Computational Linguistics, Language Resources and Evaluation (LREC-COLING 2024, oral), pp. 5843-5855, 2024
Xiaoxiao Sun, Boyi Huang, Xinfeng Wang, Dongjin Yu. MARAN: Supporting awareness of users’ routines and preferences for next POI recommendation based on spatial aggregation. Expert Systems with Applications (ESWA, IF2023=8.3), 238, 121961.
2023
Xinfeng Wang, Fumiyo Fukumoto, Jin Cui, Yoshimi Suzuki, Jiyi Li, Dongjin Yu. (2023, July). EEDN: Enhanced encoder-decoder network with local and global context learning for POI recommendation. In Proceedings of the 46th International ACM SIGIR Conference on Research and Development in Information Retrieval (SIGIR 2023), pp. 383-392.
Xinfeng Wang, Fumiyo Fukumoto, Jiyi Li, Xiaoxiao Sun, Dongjin Yu. STaTRL: Spatial-temporal and text representation learning for POI recommendation. Applied Intelligence (APIN IF2022=5.068), 53(7), 8286-8301. 2023.
Xiaoxiao Sun, Xinfeng Wang, Boyi Huang, Dongjin Yu. Multidirectional short-term traffic volume prediction based on spatiotemporal networks. Applied Intelligence (APIN IF2022=5.068), 53(20), 24458-24473. 2023.
Jin Cui, Fumiyo Fukumoto, Xinfeng Wang, Yoshimi Suzuki, Jiyi Li, Wanzeng Kong. Aspect-Category Enhanced Learning with a Neural Coherence Model for Implicit Sentiment Analysis, Proceeding of findings of the 2023 Conference on Empirical Methods in Natural Language Processing (Findings of EMNLP 2023), pp. 11345–11358, Dec. 2023.
Before 2023
Dongjin Yu, Xinfeng Wang, Liangping, Xiaoxiao Sun. Spatio-temporal convolutional residual network for regional commercial vitality prediction. Multimedia Tools and Applications (MTA, IF2022=3.6), 81(19), 27923-27948. 2022.
Dongjin Yu, Xinfeng Wang, Xiaoxiao Sun. Prediction of regional commercial activeness and entity condition based on online reviews. International Journal of Software Engineering and Knowledge Engineering (IJSEKE, IF2020=1.47), 30(11n12), 1689-1705. 2020
Grant
NEC C&C Foundation Grants for International Conference Presenter at SIGIR'24, July 2024.
Japan-China Science and Technology Exchange Association Grant for Research on International Students from China, Jan 2024.
University of Yamanashi Grants for international conference presenter at SIGIR'23, July 2023.
Foundation of Promotion of Electrical Communication Grants for international conference presenter at SIGIR'23, July 2023.