Hanrui Wang
hanrui AT mit.edu

Hello and Welcome! You can call me "Harry". I am currently a Ph.D. Student at MIT, advised by Prof. Song Han.

Previously, I received my Master from MIT in 2020 and Bachelor from Fudan University in 2018. During my undergrad, I was fortunate to work with Prof. Jason Cong, Prof. C.-J. Richard Shi, Prof. Xiaoyang Zeng and Prof. Yibo Fan.

My research area is the intersection of Computer Architecture, Quantum Computing and Machine Learning.

GitHub  /  Google Scholar  /  LinkedIn  /  Twitter  /  YouTube

• Oct. 2020. "SpAtten: Efficient Sparse Attention Architecture with Cascade Token and Head Pruning" accepted to HPCA 2021.
• Aug. 2020. Finished a great summer internship @Nvidia Research. Thank you my incredible mentors!
• Jul. 2020. Received DAC Young Fellowship and Best Research Video Award.
• Jun. 2020. One co-authored paper accepted to ECCV 2020.
• May. 2020. HAT is open-sourced!.
• Apr. 2020. "MicroNet for Efficient Language Modeling" accepted to Journal of Machine Learning Research 2020.
• Apr. 2020. "HAT: Hardware-Aware Transformers for Efficient Natural Language Processing" accepted to ACL 2020.
• Mar. 2020. "APQ: Joint Search for Network Architecture, Pruning and Quantization Policy" accepted to CVPR 2020.
• Feb. 2020. I gave a talk at Qualcomm Research Center on "GCN-RL Circuit Designer: Transferable Transistor Sizing With Graph Neural Networks and Reinforcement Learning".
• Feb. 2020. I gave a talk in HPCA 2020 on "SpArch: Efficient Architecture for Sparse Matrix Multiplication".
• Feb. 2020. "GCN-RL Circuit Designer: Transferable Transistor Sizing with Graph Neural Networks and Reinforcement Learning" accepted to DAC 2020.
• Dec. 2020. I gave a talk on Efficient Langauge Modeling at NeurIPS 2019 MicroNet Challenge.
• Nov. 2019. "SpArch: Efficient Architecture for Sparse Matrix Multiplication" accepted to HPCA 2020.
• Nov. 2019. I won the NeurIPS 2019 MicroNet Challenge, code open-sourced.