Hongjia Li

According to our database, Hongjia Li authored at least 23 papers between 2016 and 2022.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2022

An Automatic and Efficient BERT Pruning for Edge AI Systems.

Shaoyi Huang, Ning Liu, Yueying Liang, Hongwu Peng, Hongjia Li, Dongkuan Xu, Mimi Xie, Caiwen Ding

Proceedings of the 23rd International Symposium on Quality Electronic Design, 2022

TAAS: a timing-aware analytical strategy for AQFP-capable placement automation.

Peiyan Dong, Yanyue Xie, Hongjia Li, Mengshu Sun, Olivia Chen, Nobuyuki Yoshikawa, Yanzhi Wang

Proceedings of the DAC '22: 59th ACM/IEEE Design Automation Conference, San Francisco, California, USA, July 10, 2022

2021

Towards AQFP-Capable Physical Design Automation.

Hongjia Li, Mengshu Sun, Tianyun Zhang, Olivia Chen, Nobuyuki Yoshikawa, Bei Yu, Yanzhi Wang, Yibo Lin

Proceedings of the Design, Automation & Test in Europe Conference & Exhibition, 2021

Real-Time Mobile Acceleration of DNNs: From Computer Vision to Medical Applications.

Hongjia Li, Geng Yuan, Wei Niu, Yuxuan Cai, Mengshu Sun, Zhengang Li, Bin Ren, Xue Lin, Yanzhi Wang

Proceedings of the ASPDAC '21: 26th Asia and South Pacific Design Automation Conference, 2021

A Compression-Compilation Co-Design Framework Towards Real-Time Object Detection on Mobile Devices.

Yuxuan Cai, Geng Yuan, Hongjia Li, Wei Niu, Yanyu Li, Xulong Tang, Bin Ren, Yanzhi Wang

Proceedings of the Thirty-Fifth AAAI Conference on Artificial Intelligence, 2021

YOLObile: Real-Time Object Detection on Mobile Devices via Compression-Compilation Co-Design.

Yuxuan Cai, Hongjia Li, Geng Yuan, Wei Niu, Yanyu Li, Xulong Tang, Bin Ren, Yanzhi Wang

Proceedings of the Thirty-Fifth AAAI Conference on Artificial Intelligence, 2021

2020

ESMFL: Efficient and Secure Models for Federated Learning.

Sheng Lin, Chenghong Wang, Hongjia Li, Jieren Deng, Yanzhi Wang, Caiwen Ding

CoRR, 2020

An Image Enhancing Pattern-based Sparsity for Real-time Inference on Mobile Devices.

Xiaolong Ma, Wei Niu, Tianyun Zhang, Sijia Liu, Fu-Ming Guo, Sheng Lin, Hongjia Li, Xiang Chen, Jian Tang, Kaisheng Ma, Bin Ren, Yanzhi Wang

CoRR, 2020

New Passive and Active Attacks on Deep Neural Networks in Medical Applications.

Cheng Gongye, Hongjia Li, Xiang Zhang, Majid Sabbagh, Geng Yuan, Xue Lin, Thomas Wahl, Yunsi Fei

Proceedings of the IEEE/ACM International Conference On Computer Aided Design, 2020

ASAP: An Analytical Strategy for AQFP Placement.

Yi-Chen Chang, Hongjia Li, Olivia Chen, Yanzhi Wang, Nobuyuki Yoshikawa, Tsung-Yi Ho

Proceedings of the IEEE/ACM International Conference On Computer Aided Design, 2020

An Image Enhancing Pattern-Based Sparsity for Real-Time Inference on Mobile Devices.

Xiaolong Ma, Wei Niu, Tianyun Zhang, Sijia Liu, Sheng Lin, Hongjia Li, Wujie Wen, Xiang Chen, Jian Tang, Kaisheng Ma, Bin Ren, Yanzhi Wang

Proceedings of the Computer Vision - ECCV 2020, 2020

Database and Benchmark for Early-stage Malicious Activity Detection in 3D Printing.

Xiaolong Ma, Zhe Li, Hongjia Li, Qiyuan An, Qinru Qiu, Wenyao Xu, Yanzhi Wang

Proceedings of the 25th Asia and South Pacific Design Automation Conference, 2020

2019

Fast and Accurate Trajectory Tracking for Unmanned Aerial Vehicles based on Deep Reinforcement Learning.

Yilan Li, Hongjia Li, Zhe Li, Haowen Fang, Amit K. Sanyal, Yanzhi Wang, Qinru Qiu

Proceedings of the 25th IEEE International Conference on Embedded and Real-Time Computing Systems and Applications, 2019

Deep Compressed Pneumonia Detection for Low-Power Embedded Devices.

Hongjia Li, Sheng Lin, Ning Liu, Caiwen Ding, Yanzhi Wang

Proceedings of the Large-Scale Annotation of Biomedical Data and Expert Label Synthesis and Hardware Aware Learning for Medical Imaging and Computer Assisted Intervention, 2019

ADMM-based Weight Pruning for Real-Time Deep Learning Acceleration on Mobile Devices.

Hongjia Li, Ning Liu, Xiaolong Ma, Sheng Lin, Shaokai Ye, Tianyun Zhang, Xue Lin, Wenyao Xu, Yanzhi Wang

Proceedings of the 2019 on Great Lakes Symposium on VLSI, 2019

2018

Deep reinforcement learning: Algorithm, applications, and ultra-low-power implementation.

Hongjia Li, Ruizhe Cai, Ning Liu, Xue Lin, Yanzhi Wang

Nano Commun. Networks, 2018

Reconfigurable Photovoltaic Systems for Electric Vehicles.

Caiwen Ding, Hongjia Li, Weiwei Zheng, Yanzhi Wang, Xue Lin

IEEE Des. Test, 2018

FFT-based deep learning deployment in embedded systems.

Sheng Lin, Ning Liu, Mahdi Nazemi, Hongjia Li, Caiwen Ding, Yanzhi Wang, Massoud Pedram

Proceedings of the 2018 Design, Automation & Test in Europe Conference & Exhibition, 2018

2017

Deep Reinforcement Learning: Framework, Applications, and Embedded Implementations.

Hongjia Li, Tianshu Wei, Ao Ren, Qi Zhu, Yanzhi Wang

CoRR, 2017

Fast and energy-aware resource provisioning and task scheduling for cloud systems.

Hongjia Li, Ji Li, Wang Yao, Shahin Nazarian, Xue Lin, Yanzhi Wang

Proceedings of the 18th International Symposium on Quality Electronic Design, 2017

Deep reinforcement learning: Framework, applications, and embedded implementations: Invited paper.

Hongjia Li, Tianshu Wei, Ao Ren, Qi Zhu, Yanzhi Wang

Proceedings of the 2017 IEEE/ACM International Conference on Computer-Aided Design, 2017

2016

Luminescent solar concentrator-based photovoltaic reconfiguration for hybrid and plug-in electric vehicles.

Caiwen Ding, Hongjia Li, Weiwei Zheng, Yanzhi Wang, Naehyuck Chang, Xue Lin

Proceedings of the 34th IEEE International Conference on Computer Design, 2016

Dynamic converter reconfiguration for near-threshold non-volatile processors using in-door energy harvesting.

Caiwen Ding, Hongjia Li, Jingtong Hu, Yongpan Liu, Yanzhi Wang

Proceedings of the 34th IEEE International Conference on Computer Design, 2016