Email: zhwu at berkeley dot edu

Google Scholar | GitHub

I just fortunately joined the CS Ph.D. program at UC Berkeley RISELab in the fall, 2020.

Before coming to Berkeley, I was an undergraduate student majoring in computer science at Shanghai Jiao Tong University (SJTU) and a member of the SJTU ACM Honors Class.

I also had a wonderful time as a research assistant working with Prof. Song Han at MIT HAN Lab, and an undergraduate researcher working with Prof. Kai Yu and Prof. Yanmin Qian at SJTU SpeechLab.

My research interests lie in efficient deep learning, especially for natural language processing and speech, and system.

Education

University of California, Berkeley, USA
Ph.D. student at RISELab. Aug. 2020 - Present
Massachusetts Institute Technology, USA
Research assistant, working with Prof. Song Han. Jul. 2019 - Jan. 2020.
Shanghai Jiao Tong University, China
B.Eng. in Computer Science, advised by Prof. Kai Yu and Prof. Yong Yu. Sep. 2016 - Jun. 2020.

Publications

  1. DataMix: Efficient Privacy-Preserving Edge-Cloud Inference Zhijian Liu*, Zhanghao Wu*, Chuang Gan, Ligeng Zhu, and Song Han In ECCV 2020 Abstract | Paper | Slides | Demo
  2. HAT: Hardware-Aware Transformers for Efficient Natural Language Processing Hanrui Wang, Zhanghao Wu, Zhijian Liu, Han Cai, Ligeng Zhu, and Song Han In ACL 2020 Abstract | Paper | Website
  3. Lite Transformer with Long-Short Range Attention Zhanghao Wu*, Zhijian Liu*, Ji Lin, Yujun Lin, and Song Han In ICLR 2020 Abstract | Paper | Slides | Website
  4. Data Augmentation Using Deep Generative Models for Embedding Based Speaker Recognition Shuai Wang, Yexin Yang, Zhanghao Wu, Yanmin Qian, and Kai Yu IEEE/ACM Transactions on Audio, Speech, and Language Processing 2020 Abstract | Paper
  5. Data Augmentation Using Variational Autoencoder for Embedding Based Speaker Verification Zhanghao Wu, Shuai Wang, Yanmin Qian, and Kai Yu In Interspeech 2019 (Oral) Abstract | Paper | Slides
  6. On-Device Image Classification with Proxyless Neural Architecture Search and Quantization-Aware Fine-Tuning Han Cai, Tianzhe Wang, Zhanghao Wu, Kuan Wang, Ji Lin, and Song Han In ICCV workshop 2019 Abstract | Paper | Slides

Honors & Award

  • 1st place, in Visual Wake Words (VWW) Challenge of CVPR’19, 2019.
  • 3rd place, in Low Power Image Recognition Challenge of CVPR’19 (1st place of academic groups), 2019.
  • Outstanding Winner,in Mathematical Contest in Modeling (top 0.5%), 2017.
  • Chinese National Scholarship, highest honor for undergraduates, top 0.2% nation wide, 2018 & 2019.
  • Excellent Graduate Award of SJTU, the highest honor for graduates at SJTU, 2020.
  • Zhiyuan Outstanding Student Scholarship of SJTU, 16 graduates of SJTU Zhiyuan College, 2020.
  • Fan Hsu-Chi Chancellor’s Scholarship, top 0.1%of 17,000 students in SJTU, 2017.
  • Zhiyuan Honorary Scholarship, top 5% of 17,000 students in SJTU, 2016-2018.