I’m Hao Zhang. I am currently a second-year Ph.D. student in the Computer Science Department at the University of Wisconsin-Madison. Previously, I collaborated with Prof. Adrian Perrig at ETH Zurich as a research staff. I have also worked with Prof. Shyam Gollakota at the Paul G. Allen School of Computer Science & Engineering, University of Washington. Additionally, I have contributed to research projects at the National University of Singapore and Amazon AI. I also have some fucked up work experience for a few years which I don’t want to mention. My research interests include:

1. LLM for tiny devices.
   

2. Wireless sensing.

Here is my resume and research statement, by the way, I will leave academia in the near future.

Publications

Hybrid Neural Networks for On-device Directional Hearing
Anran Wang, Maruchi Kim, Hao Zhang , Shyam Gollakota
AAAI-2022

A Statistical Characterization of Attentions in Graph Neural Networks
Mufei Li, Hao Zhang, Xingjian Shi, Minjie Wang and Zheng Zhang
ICLR (Representation Learning for Graph and Manifolds) , 2019

Deep Graph Library: Towards Efficient and Scalable Deep Learning on Graphs
Minjie Wang , Lingfan Yu , Da Zheng , Quan Gan , Yu Gai , Zihao Ye, Mufei Li, Jinjing Zhou, Qi Huang, Chao Ma , Ziyue Huang, Qipeng Guo, Hao Zhang , Haibin Lin , Junbo Zhao , Jinyang Li , Alexander Smola and Zheng Zhang
ICLR (Representation Learning for Graph and Manifolds) , 2019

Mining Deep And-Or Object Structures via Cost-Sensitive Question-Answer-Based Active Annotations
Quanshi Zhang, Yingnian Wu, Hao Zhang, Songchun Zhu
Computer Vision and Image Understanding, 2018

Characterize and Transfer Attention in Graph Neural Networks
Mufei Li, Hao Zhang, Xingjian Shi, Minjie Wang, Yixing Guan and Zheng Zhang

Data Exfiltration Detection: A Learning Game
Hao Zhang, Giacomo Giuliari, Adrian Perrig

Open Source Projects

I contributed to the following open-source projects several years ago.

• Deep Graph Library

• Gluon-CV

Awards

• 4th place Neurips 2019 MineRL Competition.