I’m Hao Zhang, currently a Ph.D. student in the Computer Science Department at the University of Wisconsin-Madison. I’m working on something I don’t know.

Research Work

Tiny but Mighty: A Software-Hardware Co-Design Approach for Efficient Multimodal Inference on Battery-Powered Small Devices
Yilong Li, Shuai Zhang, Yijing Zeng, Hao Zhang , Xinmiao Xiong, Jingyu Liu, Pan Hu, Suman Banerjee
ICLR-2026

PalmBench: A Comprehensive Benchmark of Compressed Large Language Models on Mobile Platforms
Yilong Li, Jingyu Liu, Hao Zhang , M Badri Narayanan, Utkarsh Sharma, Shuai Zhang, Pan Hu, Yijing Zeng, Jayaram Raghuram, Suman Banerjee
ICLR-2025

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

Open Source Projects

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

• Deep Graph Library

• Gluon-CV

Awards

• 4th place Neurips 2019 MineRL Competition.