Efficient AI Computing,
Transforming the Future.

Han Cai

Ph.D

(Graduated)

Han Cai is a fifth-year Ph.D. student. His research focuses on algorithms and applications of efficient deep learning. He is a recipient of the Qualcomm Innovation Fellowship.

Honors and Fellowships

Han Cai
received
the 2021 Qualcomm Innovation Fellowship
.

Competition Awards

First Place
,
Low-Power Computer Vision Challenge
,
CPU Detection, FPGA
, @
CVPR
,
2020
OFA
First Place
,
Low-Power Computer Vision Workshop at ICCV 2019
,
DSP
, @
ICCV
,
2019
OFA
First Place
,
Visual Wake Words Challenge
,
TF-lite track
, @
CVPR
,
2019
ProxylessNAS
First Place
,
Low-Power Image Recognition Challenge
,
classification, detection
, @
IEEE
,
2019
OFA

Awards

No items found.

Open source projects with over 1K GitHub stars

Projects

DistriFusion: Distributed Parallel Inference for High-Resolution Diffusion Models
CVPR 2024
Condition-Aware Neural Network for Controlled Image Generation
CVPR 2024
Tiny Machine Learning Projects
NeurIPS 2020/2021/2022, MICRO 2023, ICML 2023, MLSys 2024, IEEE CAS Magazine 2023
EfficientViT: Multi-Scale Linear Attention for High-Resolution Dense Prediction
ICCV 2023
Lite Pose: Efficient Architecture Design for 2D Human Pose Estimation
CVPR 2022

Blog Posts

DistriFusion: Distributed Parallel Inference for High-Resolution Diffusion Models
February 2024
Reducing the carbon footprint of AI using the Once-for-All network
July 2020
Auto Hardware-Aware Neural Network Specialization on ImageNet in Minutes
July 2020

Talks

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