Tao Liu

According to our database, Tao Liu authored at least 31 papers between 2017 and 2024.

Collaborative distances:

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

2024

Intelligent Networking for Energy Harvesting Powered IoT Systems.

Wen Zhang, Chen Pan, Tao Liu, Jeff Jun Zhang, Mehdi Sookhak, Mimi Xie

ACM Trans. Sens. Networks, March, 2024

Auto-ISP: An Efficient Real-Time Automatic Hyperparameter Optimization Framework for ISP Hardware System.

Jiaming Liu, Zihao Liu, Xuan Huang, Ruoxi Zhu, Qi Zheng, Zhijian Hao, Tao Liu, Jun Tao, Yibo Fan

Proceedings of the 61st ACM/IEEE Design Automation Conference, 2024

2023

Penguin: Parallel-Packed Homomorphic Encryption for Fast Graph Convolutional Network Inference.

Ran Ran, Nuo Xu, Tao Liu, Wei Wang, Gang Quan, Wujie Wen

Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

SpENCNN: Orchestrating Encoding and Sparsity for Fast Homomorphically Encrypted Neural Network Inference.

Ran Ran, Xinwei Luo, Wei Wang, Tao Liu, Gang Quan, Xiaolin Xu, Caiwen Ding, Wujie Wen

Proceedings of the International Conference on Machine Learning, 2023

2022

M2M-Routing: Environmental Adaptive Multi-agent Reinforcement Learning based Multi-hop Routing Policy for Self-Powered IoT Systems.

Wen Zhang, Jeff Zhang, Mimi Xie, Tao Liu, Wenlu Wang, Chen Pan

Proceedings of the 2022 Design, Automation & Test in Europe Conference & Exhibition, 2022

2021

Lightweight End-to-End Neural Network Model for Automatic Heart Sound Classification.

Tao Liu, Yibo Yin, Kainan Ma, Sitao Zhang, Ming Liu

Inf., 2021

SAC: A Novel Multi-hop Routing Policy in Hybrid Distributed IoT System based on Multi-agent Reinforcement Learning.

Wen Zhang, Tao Liu, Mimi Xie, Jeff Jun Zhang, Chen Pan

Proceedings of the 22nd International Symposium on Quality Electronic Design, 2021

2020

FPT-spike: a flexible precise-time-dependent single-spike neuromorphic computing architecture.

Tao Liu, Gang Quan, Wujie Wen

CCF Trans. High Perform. Comput., 2020

Orchestrating Medical Image Compression and Remote Segmentation Networks.

Zihao Liu, Sicheng Li, Yen-Kuang Chen, Tao Liu, Qi Liu, Xiaowei Xu, Yiyu Shi, Wujie Wen

Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2020, 2020

Defending Deep Learning-Based Biomedical Image Segmentation from Adversarial Attacks: A Low-Cost Frequency Refinement Approach.

Qi Liu, Han Jiang, Tao Liu, Zihao Liu, Sicheng Li, Wujie Wen, Yiyu Shi

Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2020, 2020

Stealing Your Data from Compressed Machine Learning Models.

Nuo Xu, Qi Liu, Tao Liu, Zihao Liu, Xiaochen Guo, Wujie Wen

Proceedings of the 57th ACM/IEEE Design Automation Conference, 2020

Monitoring the Health of Emerging Neural Network Accelerators with Cost-effective Concurrent Test.

Qi Liu, Tao Liu, Zihao Liu, Wujie Wen, Chengmo Yang

Proceedings of the 57th ACM/IEEE Design Automation Conference, 2020

Tiny but Accurate: A Pruned, Quantized and Optimized Memristor Crossbar Framework for Ultra Efficient DNN Implementation.

Xiaolong Ma, Geng Yuan, Sheng Lin, Caiwen Ding, Fuxun Yu, Tao Liu, Wujie Wen, Xiang Chen, Yanzhi Wang

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

StegoNet: Turn Deep Neural Network into a Stegomalware.

Tao Liu, Zihao Liu, Qi Liu, Wujie Wen, Wenyao Xu, Ming Li

Proceedings of the ACSAC '20: Annual Computer Security Applications Conference, 2020

2019

Thread Batching for High-performance Energy-efficient GPU Memory Design.

Bing Li, Mengjie Mao, Xiaoxiao Liu, Tao Liu, Zihao Liu, Wujie Wen, Yiran Chen, Hai (Helen) Li

ACM J. Emerg. Technol. Comput. Syst., 2019

Deep-evasion: Turn deep neural network into evasive self-contained cyber-physical malware: poster.

Tao Liu, Wujie Wen

Proceedings of the 12th Conference on Security and Privacy in Wireless and Mobile Networks, 2019

Making the Fault-Tolerance of Emerging Neural Network Accelerators Scalable.

Tao Liu, Wujie Wen

Proceedings of the International Conference on Computer-Aided Design, 2019

A Fault-Tolerant Neural Network Architecture.

Tao Liu, Wujie Wen, Lei Jiang, Yanzhi Wang, Chengmo Yang, Gang Quan

Proceedings of the 56th Annual Design Automation Conference 2019, 2019

Machine Vision Guided 3D Medical Image Compression for Efficient Transmission and Accurate Segmentation in the Clouds.

Zihao Liu, Xiaowei Xu, Tao Liu, Qi Liu, Yanzhi Wang, Yiyu Shi, Wujie Wen, Meiping Huang, Haiyun Yuan, Jian Zhuang

Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2019

Feature Distillation: DNN-Oriented JPEG Compression Against Adversarial Examples.

Zihao Liu, Qi Liu, Tao Liu, Nuo Xu, Xue Lin, Yanzhi Wang, Wujie Wen

Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2019

A system-level perspective to understand the vulnerability of deep learning systems.

Tao Liu, Nuo Xu, Qi Liu, Yanzhi Wang, Wujie Wen

Proceedings of the 24th Asia and South Pacific Design Automation Conference, 2019

2018

TriZone: A Design of MLC STT-RAM Cache for Combined Performance, Energy, and Reliability Optimizations.

Zihao Liu, Mengjie Mao, Tao Liu, Xue Wang, Wujie Wen, Yiran Chen, Hai Li, Danghui Wang, Yukui Pei, Ning Ge

IEEE Trans. Comput. Aided Des. Integr. Circuits Syst., 2018

Feature Distillation: DNN-Oriented JPEG Compression Against Adversarial Examples.

Zihao Liu, Qi Liu, Tao Liu, Yanzhi Wang, Wujie Wen

CoRR, 2018

Enhancing the Robustness of Deep Neural Networks from "Smart" Compression.

Tao Liu, Zihao Liu, Qi Liu, Wujie Wen

Proceedings of the 2018 IEEE Computer Society Annual Symposium on VLSI, 2018

An ECC-Free MLC STT-RAM Based Approximate Memory Design for Multimedia Applications.

Zihao Liu, Tao Liu, Jie Guo, Nansong Wu, Wujie Wen

Proceedings of the 2018 IEEE Computer Society Annual Symposium on VLSI, 2018

SIN²: Stealth infection on neural network - A low-cost agile neural Trojan attack methodology.

Tao Liu, Wujie Wen, Yier Jin

Proceedings of the 2018 IEEE International Symposium on Hardware Oriented Security and Trust, 2018

DeepN-JPEG: a deep neural network favorable JPEG-based image compression framework.

Zihao Liu, Tao Liu, Wujie Wen, Lei Jiang, Jie Xu, Yanzhi Wang, Gang Quan

Proceedings of the 55th Annual Design Automation Conference, 2018

Security analysis and enhancement of model compressed deep learning systems under adversarial attacks.

Qi Liu, Tao Liu, Zihao Liu, Yanzhi Wang, Yier Jin, Wujie Wen

Proceedings of the 23rd Asia and South Pacific Design Automation Conference, 2018

PT-spike: A precise-time-dependent single spike neuromorphic architecture with efficient supervised learning.

Tao Liu, Lei Jiang, Yier Jin, Gang Quan, Wujie Wen

Proceedings of the 23rd Asia and South Pacific Design Automation Conference, 2018

2017

A fast and ultra low power time-based spiking neuromorphic architecture for embedded applications.

Tao Liu, Wujie Wen

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

MT-spike: A multilayer time-based spiking neuromorphic architecture with temporal error backpropagation.

Tao Liu, Zihao Liu, Fuhong Lin, Yier Jin, Gang Quan, Wujie Wen

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