Shaoyi Huang

I am a Ph.D candidate advised by Prof. Caiwen Ding at University of Connecticut, where I work on machine learning, natural language processing. My research interests are Efficient AI, algorithm and hardware co-design. I received my M.S. degree from university of Rochester in 2018.

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• 05/2022: Excited to join Tiktok (ByteDance) as a research intern!
• 05/2022: I am very honored to receive the Predoctoral Prize for Research Excellence from UConn CSE.
• 05/2022: Received the Eversource Energy Graduate Fellowship from Eversource Energy Center. Thanks, Eversource!
• 04/2022: Our DAC 22 paper “A Length Adaptive Algorithm-Hardware Co-design of Transformer on FPGA Through Sparse Attention and Dynamic Pipelining” has been recognized as a Publicity Paper.
• 02/2022: One paper “Sparse Progressive Distillation: Resolving Overfitting under Pretrain-and-Finetune Paradigm” is accepted by ACL 2022 main conference.
• 02/2022: One paper "A Length Adaptive Algorithm-Hardware Co-design of Transformer on FPGA Through Sparse Attention and Dynamic Pipelining" is accepted by DAC 2022.
• 02/2022: One paper is accepted by ISQED 2022.
• 08/2021: Received the Cigna Graduate Fellowship from UConn CSE. Thanks, Cigna!
• 07/2021: One paper "Accelerating Framework of Transformer by Hardware Design and Model Compression Co-Optimization" is accepted by ICCAD 2021.
• 06/2021: One paper "Re-Thinking Self-Attention for Transformer Models on GPUs" is accepted by SC 2021.
• 04/2021: Three papers are accepted by GLSVLSI 2021.
• 02/2021: One paper is accepted by ISQED 2021.

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