About
Dr. Chen Shangyu
Software Engineer in Ranking, Meta Recommendation System (MRS), Meta, Singapore. Ph.D student from Nanyang Technological University. ex-Meituan/Taobao
School of Computer Science and Engineering, Nanyang Technological University
Under supervision of Prof. Sinno Jialin Pan
Email: shangyuchen [at] meta.com
Research Interests
Generative Recommendation System, Deep Neural Network Model Compression (Pruning, Quantization), Application of LLMs
Career Experience
**Sept. 2026 - Now ** Software Engineer
Ranking, Meta Recommendation System (MRS), Meta, Singapore
**Sept. 2023 - May 2026 ** Algorithm Engineer
Homepage Recommendation Team, Meituan, Beijing, China.
April, 2021 - Sept. 2023 Algorithm Engineer II
Search Rank Team (Taobao), Alibaba, Hangzhou, China.
June-Nov, 2020 Research Intern
ByteDance AI Lab, Language and Information Technology Group in Singapore. Honor to work with Dr. Li Hang
Education Experience
2012-2016 BS
School of Data and Computer Science, Sun Yat-Sen University, Guangzhou, China
2016-Now Ph.D
School of Computer Science and Engineering, Nanyang Technological University, Singapore
Publication
Search & Recommendation System
- Ruidong Han, Bin Yin, Shangyu Chen, He Jiang, Fei Jiang, Xiang Li, Chi Ma, Mincong Huang, Xiaoguang Li, Chunzhen Jing, Yueming Han, Menglei Zhou, Lei Yu, Chuan Liu, Wei Lin. MTGR: Industrial-Scale Generative Recommendation Framework in Meituan. Published in 34th Conference on Information and Knowledge Management (CIKM) on Applied Research Track. Seoul, Korea. Nov. 10-14, 2025.
- Shangyu Chen, Xinyu Jia, Yingfei Zhang, Shuai Zhang, Xiang Li, Wei Lin. IterQR: An Iterative Framework for LLM-based Query Rewrite in e-Commercial Search System 2025 (Arvix).
Agentic
- Shangyu Chen, Zibo Zhao, Yuanyuan Zhao, Xiang Li. Apollonion: Profile-centric Dialog Agent 2023 (Arxiv).
Model Compression
- Jianda Chen, Shangyu Chen and Sinno Jialin Pan. Storage Efficient and Dynamic Flexible Runtime Channel Pruning via Deep Reinforcement Learning. Published in 34rd Conference on Neural Information Processing Systems 2020 (NeurIPS-20). Virtual. Dec. 6-12, 2020. (Poster)
- Shangyu Chen, Wenya Wang and Sinno Jialin Pan. MetaQuant: Learning to Quantize by Learning to Penetrate Non-differentiable Quantization. Published in Proceedings of the 33rd Conference on Neural Information Processing Systems 2019 (NeurIPS-19). Vancouver, Canada. Dec. 8-14, 2019. (Poster) [code] [paper]
- Shangyu Chen, Wenya Wang and Sinno Jialin Pan. Cooperative Pruning in Cross-Domain Deep Neural Network Compression. Published in Proceedings of the 28th International Joint Conference on Artificial Intelligence (IJCAI-19). Macao, China. Aug. 10 - 16, 2019. (Oral) [code] [paper]
- Shangyu Chen, Wenya Wang and Sinno Jialin Pan. Deep Neural Network Quantization via Layer-Wise Optimization using Limited Training Data. Published in Proceedings of the 33rd AAAI Conference on Artificial Intelligence (AAAI-19). Hawaii, USA. Jan. 27 - Feb. 1, 2019. (Oral) [code][paper]
- Xin Dong, Shangyu Chen and Sinno Jialin Pan. Learning to Prune Deep Neural Networks via Layer-wise Optimal Brain Surgeon To appear in Annual Conference on Neural Information Processing Systems 2017 (NIPS-17). Long Beach, USA. Dec. 4-9, 2017. (Poster) [code] [paper]
Research Projects