Skills
Python, C/C++ , HTML , CSS , Javascript ,
J3, Git, Linux
Coding Activity
About
Hi, my name is Xiao Hu. I am a M.S. student in Electrical and Computer Engineering major at Purdue University. My research broadly connects to the fields of low-power computer vision, human-computer interaction,, fairness in artificial intelligence, machine learning, and full-stack web development. I also have experiences in Crowdsourcing techniques and drones operation.
Education
Electrical and Computer Engineering
Purdue University (2020 - 2022)
Master of Engineering
Publications
Efficient Computer Vision on Edge Devices withPipeline-Parallel Hierarchical Neural Networks
Abhinav Goel, Caleb Tung, Xiao Hu, James C. Davis, George K. Thiruvathukal, Yung-Hsiang Lu
27th Asia and South Pacific Design Automation Conference} (ASP-DAC), Janurary, 2022
Low-Power Multi-Camera Object Re-Identification using Hierarchical Neural Networks
Abhinav Goel, Caleb Tung, Xiao Hu, Haobo Wang, James C. Davis, George K. Thiruvathukal, Yung-Hsiang Lu
2021 ACM/IEEE International Symposium on Low Power Electronics and Design (DAC), December, 2021
The 2020 Low-Power Computer Vision Challenge
Xiao Hu, Ming-Ching Chang, Yuwei Chen, ...
IEEE International Conference on Artificia Intelligence Circuits and Systems (AICAS), June, 2021
Observing Responses to the COVID-19 Pandemic using Worldwide Network Cameras
Isha Ghodgaonkar, Abhinav Goel, Fischer Bordwell, Caleb Tung, Sara Aghajanzadeh, Noah Curran, Ryan Chen, Kaiwen Yu, Sneha Mahapatra, Vishnu Banna, Gore Kao, Kate Lee, Xiao Hu, Nick Eliopolous, Akhil Chinnakotla, Damini Rijhwani, Ashley Kim, Aditya Chakraborty, Mark Daniel Ward, Yung-Hsiang Lu, George K. Thiruvathukal
2020 Computer and Society
First-Person View Hand Segmentation ofMulti-Modal Hand Activity Video Dataset
Sangpil Kim, Hyung-gun Chi, Xiao Hu, Anirudh Vegesana, Karthik Ramani
The British Machine Vision Conference (BMVC), September, 2020
A Large-scale Annotated Mechanical Components Benchmark for Classification and Retrieval Tasks with Deep Neural Networks
Sangpil Kim, Hyung-gun Chi, Xiao Hu, Qixing Huang, Karthik Ramani
In proceedings of 16th European Conference on Computer Vision (ECCV), August, 2020
Crowdsourcing Detection of Sampling Biases in Image Datasets
Xiao Hu, Haobo Wang, Anirudh Vegesana, Somesh Dube, Kaiwen Yu, Gore Kao, Shuo-Han Chen, Yung-Hsiang Lu, George K. Thiruvathukal, Ming Yin
The International World Wide Web Conference (WWW), April, 2020
Discovering Biases in Image Datasets with the Crowd
Xiao Hu, Haobo Wang, Somesh Dube, Anirudh Vegesana, Kaiwen Yu, Yung-Hsiang Lu, Ming Yin
The seventh AAAI Conference on Human Computation and Crowdsourcing (HCOMP), October, 2019
Low-Power Computer Vision Status, Challenges, and Opportunities
Sergei Alyamkin, Matthew Ardi, Alexander C Berg, Achille Brighton, Bo Chen, Yiran Chen, Hsin-Pai Cheng, Zichen Fan, Chen Feng, Bo Fu, Kent Gauen, Abhinav Goel, Alexander Goncharenko, Xuyang Guo, Soonhoi Ha, Andrew Howard, Xiao Hu, Yuanjun Huang, Donghyun Kang, Jaeyoun Kim, Jong Gook Ko, Alexander Kondratyev, Junhyeok Lee, Seungjae Lee, Suwoong Lee, Zichao Li, Zhiyu Liang, Juzheng Liu, Xin Liu, Yang Lu, Yung-Hsiang Lu, Deeptanshu Malik, Hong Hanh Nguyen, Eunbyung Park, Denis Repin, Liang Shen, Tao Sheng, Fei Sun, David Svitov, George K Thiruvathukal, Baiwu Zhang, Jingchi Zhang, Xiaopeng Zhang, Shaojie Zhuo
2019 IEEE Journal on Emerging and Selected Topics in Circuits and Systems