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Sharyaveng (夏 家峰)
📧 jfxia19@fudan.edu.cn
🔗 https://github.com/Yaveng |
Hi, there! I am Sharyaveng, and you can call me yaveng.
My current research fields are including but not limited to large language models, recommender systems, collaborative filtering, graph neural networks, graph signal processing.
If you have some problems or some suggestions, please feel free to contact me via the above email address.
Working Experiences
- 2025.01 ~ now, ByteDance.
- Algorithm Engineer.
Educations
- 2019.09 ~ 2024.12, School of Computer Science, Fudan University.
- Ph.D. in software engineering.
- Advised by Prof. Ning Gu and Dr. Dongsheng Li.
- 2015.09 ~ 2019.06, Jianxing Honors College, Zhejiang University of Technology.
- B.Eng. in software engineering.
- Advised by Prof. Jing Fan.
Publications I (Published)
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FedCIA: Federated Collaborative Information Aggregation for Privacy-Preserving Recommendation
Mingzhe Han, Dongsheng Li, Jiafeng Xia, Jiahao Liu, Hansu Gu, Peng Zhang, Ning Gu and Tun Lu.
The 48th International ACM SIGIR Conference on Research and Development in Information Retrieval (SIGIR). 2025 -
Frequency-aware Graph Signal Processing for Collaborative Filtering
Jiafeng Xia, Dongsheng Li, Hansu Gu, Tun Lu, Peng Zhang, Li Shang and Ning Gu.
The Web Conference (WWW). 2025 (Short Paper1) -
Oracle-guided Dynamic User Preference Modeling for Sequential Recommendation
Jiafeng Xia, Dongsheng Li, Hansu Gu, Tun Lu, Peng Zhang, Li Shang and Ning Gu.
The 18th ACM International Conference on Web Search and Data Mining (WSDM). 2025 -
Hierarchical Graph Signal Processing for Collaborative Filtering
Jiafeng Xia, Dongsheng Li, Hansu Gu, Tun Lu, Peng Zhang, Li Shang and Ning Gu.
The Web Conference (WWW). 2024 -
Neural Kalman Filtering for Robust Temporal Recommendation
Jiafeng Xia, Dongsheng Li, Hansu Gu, Tun Lu, Peng Zhang, Li Shang and Ning Gu.
The 17th ACM International Conference on Web Search and Data Mining (WSDM). 2024 -
FIRE: Fast Incremental Recommendation with Graph Signal Processing
Jiafeng Xia, Dongsheng Li, Hansu Gu, Jiahao Liu, Tun Lu and Ning Gu.
The Web Conference (WWW). 2022 -
Incremental Graph Convolutional Network for Collaborative Filtering
Jiafeng Xia, Dongsheng Li, Hansu Gu, Tun Lu, Peng Zhang and Ning Gu.
The 30th ACM International Conference on Information and Knowledge Management (CIKM). 2021
Publications II (Pre-print)
- GraphTransfer: A Generic Feature Fusion Framework for Collaborative Filtering
Jiafeng Xia, Dongsheng Li, Hansu Gu, Tun Lu and Ning Gu.
arXiv preprint arXiv:2408.05792
Academic Services
- As a reviewer: The Web Conference 2025, SIGIR 2025.
Skills
- Nature Languages:
- Chinese, English
- Program Languages & Deep Learning Frameworks:
- Python, Java, C++, C, Pytorch, Tensorflow
Honors
- Fudan University Excellent Student, Shanghai, 2024
- Outstanding Students of Fudan University, Shanghai, 2023
- Outstanding Students of Fudan University, Shanghai, 2022
- Zhejiang Provincial Excellent Student, Zhejiang, 2019
- Zhejiang Provincial Government Scholarship, Zhejiang, 2018
- The Honorable Mention of Mathematical Contest In Modeling, USA, 2018
- Zhejiang Provincial Government Scholarship, Zhejiang, 2017
- The National First Prize of China Undergraduate Mathematical Contest in Modeling, China, 2017
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For completed version, please refer to FaGSP (arXiv). ↩