Welcome to my homepage !

My name is Chen Shangyu, I am currently an Algorithm Engineer in Homepage Recommendation Team in Meituan Delivery (Beijing, China). I have attained my PhD degree from School of Computer Science and Engineering, Nanyang Technological University, Singapore. Under supervision of Prof. Sinno Jialin Pan.

Contact

chenshangyu03[at]meituan.com

News

[Update to Date] We are currently recruiting for social hiring, campus recruitment, and internship positions in Homepage Recommendation, Meituan Delivery. Drop me e-mail!

[May, 2025] We have launched and published a next-generation recommendation system: MeiTuan Generative Recommendation (MTGR)

I am maintaining an Awesome projection: Awesome Deep Neural Network Compression. Feel free to check it!

Career Experiences

[Sept 2023 to Now] Algorithm Engineer, Homepage Recommendation Team, Meituan Delivery, Beijing, China

[April 2021 to Sept 2023] Algorithm Engineer II, Search Rank Team (Taobao), Alibaba, Hangzhou, China

[June 2020 to Nov. 2020] Research Intern, Language and Information Technology Group, Bytedance AI Lab, Singapore

Education Experiences

[2016-2021] PhD in Computer Science, School of Computer Science and Engineering, Nanyang Technological University, Singapore.

[2012-2016] B.S in Computer Science, School of Data and Computer Science, Sun Yat-Sen University, Guangzhou, China.

Publications

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 (Arxiv)

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 Proceedings of 34th 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. (Oral) [code][paper]
• Shangyu Chen, Wenya Wang and Sinno Jialin Pan. Deep Neural Network Quantization via Layer-Wise Optimization using Limited Training Data. Published 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. Published in Proceedings of 31st Neural Information Processing Systems 2017 (NIPS-17). Long Beach, USA. Dec. 4-9, 2017 (Poster). [code] [paper]