Welcome to my homepage !

My name is Chen Shangyu, I am currently an Algorithm Engineer in Search Rank Team (Taobao) in Alibaba (Hangzhou, China). Previously I have attained my PhD degree from School of Computer Science and Engineering, Nanyang Technological University, Singapore. Under supervision of Prof. Sinno Jialin Pan.

News:

I am honor to join Search Rank Team (Taobao) in Alibaba from April, 2021! Aiming to bring model compression into the search system of (one of) the largest E-commerce platform in the world.

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

Career Experiences:

[April 2021 to Now] 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:

• Jianda Chen, Shangyu Chen and Sinno Jialin Pan. Storage Efficient and Dynamic Flexible Runtime Channel Pruning via Deep Reinforcement Learning. Published in Proceedings of 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. (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]