Xinfeng Wang
Ph.D. at University of Yamanashi
- Google Scholar
- Github
- Kofu, Japan
Hi there! This is Xinfeng Wang (王欣峰 in Chinese), a third-year Ph.D. student at the University of Yamanashi, in Japan.
I received a Dual M.S. in Computer Science of Hangzhou Dianzi University in China and University of Yamanashi in Japan.
🔭 My Research Interest includes: Recommendation System, Data Mining, and Natural Language Processing.
📫 Reach me at g22dtsa7@yamanashi.ac.jp;kaysenn@163.com
✨✨ News ✨✨
Sep 20th 2024 - We have a long paper accepted to EMNLP'24 Main! [ELMRec]
May 16th 2024 - We have a short paper accepted to ACL'24 Main! [RDRec]
April 8th 2024 - We have two papers accepted to SIGIR'24! [CaDRec] [NFARec]
Publications
2024
- Enhancing High-order Interaction Awareness in LLM-based Recommender Model.
Xinfeng Wang, Jin Cui, Fumiyo Fukumoto, Yoshimi Suzuki.
[EMNLP 2024] long paper [pdf] [code] - CaDRec: Contextualized and Debiased Recommender Model.
Xinfeng Wang, Fumiyo Fukumoto, Jin Cui, Yoshimi Suzuki, Jiyi Li, Dongjin Yu.
[SIGIR 2024] full paper [pdf] [code] - NFARec: A Negative Feedback-Aware Recommender Model.
Xinfeng Wang, Fumiyo Fukumoto, Jin Cui, Yoshimi Suzuki, Dongjin Yu.
[SIGIR 2024] full paper [pdf] [code] - RDRec: Rationale Distillation for LLM-based Recommendation.
Xinfeng Wang, Jin Cui, Yoshimi Suzuki, Fumiyo Fukumoto.
[ACL 2024] short paper [pdf] [code] - Enhanced Coherence-Aware Network with Hierarchical Disentanglement for Aspect-Category Sentiment Analysis.
Jin Cui, Fumiyo Fukumoto, Xinfeng Wang, Yoshimi Suzuki, Jiyi Li, Noriko Tomuro and Wanzeng Kong.
[LREC-COLING 2024] long paper [pdf] [code] - MARAN: Supporting awareness of users’ routines and preferences for next POI recommendation based on spatial aggregation.
Xiaoxiao Sun, Boyi Huang, Xinfeng Wang, Dongjin Yu.
[ESWA 2024] [pdf] Expert System with Applications (IF2023=8.3).
2023
- EEDN: Enhanced encoder-decoder network with local and global context learning for POI recommendation.
Xinfeng Wang, Fumiyo Fukumoto, Jin Cui, Yoshimi Suzuki, Jiyi Li, Dongjin Yu.
[SIGIR 2023] full paper [pdf] [code] - STaTRL: Spatial-temporal and text representation learning for POI recommendation.
Xinfeng Wang, Fumiyo Fukumoto, Jiyi Li, Xiaoxiao Sun, Dongjin Yu.
[APIN 2023] [code] Applied Intelligence (IF2022=5.068) - Multidirectional short-term traffic volume prediction based on spatiotemporal networks.
Xiaoxiao Sun, Xinfeng Wang, Boyi Huang, Dongjin Yu.
[APIN 2023] [code] Applied Intelligence (IF2022=5.068), 53(20), 24458-24473. 2023. - Aspect-Category Enhanced Learning with a Neural Coherence Model for Implicit Sentiment Analysis.
Jin Cui, Fumiyo Fukumoto, Xinfeng Wang, Yoshimi Suzuki, Jiyi Li, Wanzeng Kong.
[EMNLP 2023 finding] [pdf] [code]
Before 2023
- Spatio-temporal convolutional residual network for regional commercial vitality prediction.
Dongjin Yu, Xinfeng Wang, Liangping, Xiaoxiao Sun.
[MTA 2022] Multimedia Tools and Applications (IF2022=3.6) - Prediction of regional commercial activeness and entity condition based on online reviews.
Dongjin Yu, Xinfeng Wang, Xiaoxiao Sun.
[IJSEKE 2020] International Journal of Software Engineering and Knowledge Engineering (IJSEKE, IF2020=1.47)
Award
- Travel Grants from Tateisi Foundation for EMNLP'24, August 2024.
- Travel Grants from NEC C&C Foundation for SIGIR'24, July 2024.
- Research Grants from Japan-China Science and Technology Exchange Association, Jan 2024.
- Travel Grants from Akiyama Foundation for SIGIR'23, July 2023.
- Travel Grants from Foundation of Promotion of Electrical Communication for SIGIR'23, July 2023.
Invited Talk
Professional Services
- Reviewer of Conferences: ACL 2025
- Reviewer of journals: TKDE, TMM, and Neurocomputing