Hanrui Wang
hanrui AT mit.edu

Hello and Welcome! You can call me Hank. 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

• Jun. 2022. Variational Quantum Pulse Learning accepted to QCE 2022.
• Jun. 2022. Welcome to attend Quantum Computer Systems Lecture Series.
• May. 2022. DeepVS accepted to ACM-BCB 2022.
• Apr. 2022. Quantum Antivirus accepted to NEHWS 2022.
• Mar. 2022. RaM-SAR accepted to VLSI 2022.
More
Feb. 2022. QOC accepted to DAC 2022.
Feb. 2022. QuantumNAT accepted to DAC 2022.
Fed. 2022. A survey on efficient DL accepted to TODAES.
Oct. 2021. Check out our QNN library TorchQuantum.
Oct. 2021. "QuantumNAS: Noise-Adaptive Search for Robust Quantum Circuits" accepted to HPCA 2022.
Oct. 2021. "RoQNN: Noise-Aware Training for Robust Quantum Neural Networks" preprint available.
Aug. 2021. "QuantumNAS: Noise-Adaptive Search for Robust Quantum Circuits" preprint available.
Jul. 2021. "PointAcc: Efficient Point Cloud Accelerator" accepted to MICRO 2021.
Jun. 2021. Got awarded Qualcomm Innovation Fellowship.
Apr. 2021. Selected as Global Top 100 Chinese Rising Stars in AI by Baidu.
Feb. 2021. SpAtten project is selected as MIT homepage spotlight.
Jan. 2021. Got awarded Baidu Scholarship.
Dec. 2020. Got awarded Analog Devices outstanding student designer.
Nov. 2020. Got awarded Nvidia Graduate Fellowship Finalist.
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.

• 2021 Qualcomm Innovation Fellowship
• 2021 Baidu Graduate Scholarship
• 2021 Analog Devices Outstanding Student Designer Award
• 2021 Global Top 100 Chinese Rising Stars in AI Award
• 2020 Nvidia Graduate Fellowship Finalist
• 2020 DAC Young Fellowship & Young Fellow Best Presentation Award
• 2019 Champion of NeurIPS 2019 MicroNet efficient Language Model Competition
• 2019 Best Paper Award of ICML 2019 Reinforcement Learning for Real Life Workshop
• 2018 Bronze Medal in Kaggle TensorFlow Speech Recognition Challenge
• 2017 UCLA CSST Fellowship & CSST Best Research Award
• 2016 Chun-Tsung Research Fellowship
• 2015/2016/2017 China National Scholarship