Tao Liu

Publication Activity (10 Years)

Years Active: 2017-2024
Publications (10 Years): 33

Top Topics

Image Compression

Accurate Segmentation

Top Venues

Publications

Wen Zhang, Chen Pan, Tao Liu, Jeff Jun Zhang, Mehdi Sookhak, Mimi Xie
Intelligent Networking for Energy Harvesting Powered IoT Systems. ACM Trans. Sens. Networks 20 (2) (2024)
Ran Ran, Xinwei Luo, Wei Wang, Tao Liu, Gang Quan, Xiaolin Xu, Caiwen Ding, Wujie Wen
SpENCNN: Orchestrating Encoding and Sparsity for Fast Homomorphically Encrypted Neural Network Inference. ICML (2023)
Tao Liu, Yibo Yin, Kainan Ma, Sitao Zhang, Ming Liu
Lightweight End-to-End Neural Network Model for Automatic Heart Sound Classification. Inf. 12 (2) (2021)
Qi Liu, Tao Liu, Zihao Liu, Wujie Wen, Chengmo Yang
Monitoring the Health of Emerging Neural Network Accelerators with Cost-effective Concurrent Test. DAC (2020)
Zihao Liu, Sicheng Li, Yen-kuang Chen, Tao Liu, Qi Liu, Xiaowei Xu, Yiyu Shi, Wujie Wen
Orchestrating Medical Image Compression and Remote Segmentation Networks. MICCAI (4) (2020)
Tao Liu, Gang Quan, Wujie Wen
FPT-spike: a flexible precise-time-dependent single-spike neuromorphic computing architecture. CCF Trans. High Perform. Comput. 2 (3) (2020)
Qi Liu, Han Jiang, Tao Liu, Zihao Liu, Sicheng Li, Wujie Wen, Yiyu Shi
Defending Deep Learning-Based Biomedical Image Segmentation from Adversarial Attacks: A Low-Cost Frequency Refinement Approach. MICCAI (4) (2020)
Tao Liu, Zihao Liu, Qi Liu, Wujie Wen, Wenyao Xu, Ming Li
StegoNet: Turn Deep Neural Network into a Stegomalware. ACSAC (2020)
Xiaolong Ma, Geng Yuan, Sheng Lin, Caiwen Ding, Fuxun Yu, Tao Liu, Wujie Wen, Xiang Chen, Yanzhi Wang
Tiny but Accurate: A Pruned, Quantized and Optimized Memristor Crossbar Framework for Ultra Efficient DNN Implementation. ASP-DAC (2020)
Bing Li, Mengjie Mao, Xiaoxiao Liu, Tao Liu, Zihao Liu, Wujie Wen, Yiran Chen, Hai (Helen) Li
Thread Batching for High-performance Energy-efficient GPU Memory Design. ACM J. Emerg. Technol. Comput. Syst. 15 (4) (2019)
Tao Liu, Wujie Wen
Making the Fault-Tolerance of Emerging Neural Network Accelerators Scalable. ICCAD (2019)
Xiaolong Ma, Geng Yuan, Sheng Lin, Caiwen Ding, Fuxun Yu, Tao Liu, Wujie Wen, Xiang Chen, Yanzhi Wang
Tiny but Accurate: A Pruned, Quantized and Optimized Memristor Crossbar Framework for Ultra Efficient DNN Implementation. CoRR (2019)
Bing Li, Mengjie Mao, Xiaoxiao Liu, Tao Liu, Zihao Liu, Wujie Wen, Yiran Chen, Hai Helen Li
Thread Batching for High-performance Energy-efficient GPU Memory Design. CoRR (2019)
Tao Liu, Wujie Wen
Deep-evasion: Turn deep neural network into evasive self-contained cyber-physical malware: poster. WiSec (2019)
Zihao Liu, Xiaowei Xu, Tao Liu, Qi Liu, Yanzhi Wang, Yiyu Shi, Wujie Wen, Meiping Huang, Haiyun Yuan, Jian Zhuang
Machine Vision Guided 3D Medical Image Compression for Efficient Transmission and Accurate Segmentation in the Clouds. CVPR (2019)
Tao Liu, Wujie Wen, Lei Jiang, Yanzhi Wang, Chengmo Yang, Gang Quan
A Fault-Tolerant Neural Network Architecture. DAC (2019)
Zihao Liu, Xiaowei Xu, Tao Liu, Qi Liu, Yanzhi Wang, Yiyu Shi, Wujie Wen, Meiping Huang, Haiyun Yuan, Jian Zhuang
Machine Vision Guided 3D Medical Image Compression for Efficient Transmission and Accurate Segmentation in the Clouds. CoRR (2019)
Tao Liu, Nuo Xu, Qi Liu, Yanzhi Wang, Wujie Wen
A system-level perspective to understand the vulnerability of deep learning systems. ASP-DAC (2019)
Zihao Liu, Qi Liu, Tao Liu, Nuo Xu, Xue Lin, Yanzhi Wang, Wujie Wen
Feature Distillation: DNN-Oriented JPEG Compression Against Adversarial Examples. CVPR (2019)
Qi Liu, Tao Liu, Zihao Liu, Yanzhi Wang, Yier Jin, Wujie Wen
Security Analysis and Enhancement of Model Compressed Deep Learning Systems under Adversarial Attacks. CoRR (2018)
Tao Liu, Wujie Wen, Yier Jin
: Stealth infection on neural network - A low-cost agile neural Trojan attack methodology. HOST (2018)
Qi Liu, Tao Liu, Zihao Liu, Yanzhi Wang, Yier Jin, Wujie Wen
Security analysis and enhancement of model compressed deep learning systems under adversarial attacks. ASP-DAC (2018)
Tao Liu, Zihao Liu, Fuhong Lin, Yier Jin, Gang Quan, Wujie Wen
MT-Spike: A Multilayer Time-based Spiking Neuromorphic Architecture with Temporal Error Backpropagation. CoRR (2018)
Tao Liu, Lei Jiang, Yier Jin, Gang Quan, Wujie Wen
PT-spike: A precise-time-dependent single spike neuromorphic architecture with efficient supervised learning. ASP-DAC (2018)
Tao Liu, Zihao Liu, Qi Liu, Wujie Wen
Enhancing the Robustness of Deep Neural Networks from "Smart" Compression. ISVLSI (2018)
Zihao Liu, Mengjie Mao, Tao Liu, Xue Wang, Wujie Wen, Yiran Chen, Hai Li, Danghui Wang, Yukui Pei, Ning Ge
TriZone: A Design of MLC STT-RAM Cache for Combined Performance, Energy, and Reliability Optimizations. IEEE Trans. Comput. Aided Des. Integr. Circuits Syst. 37 (10) (2018)
Zihao Liu, Qi Liu, Tao Liu, Yanzhi Wang, Wujie Wen
Feature Distillation: DNN-Oriented JPEG Compression Against Adversarial Examples. CoRR (2018)
Tao Liu, Lei Jiang, Yier Jin, Gang Quan, Wujie Wen
PT-Spike: A Precise-Time-Dependent Single Spike Neuromorphic Architecture with Efficient Supervised Learning. CoRR (2018)
Zihao Liu, Tao Liu, Wujie Wen, Lei Jiang, Jie Xu, Yanzhi Wang, Gang Quan
DeepN-JPEG: A Deep Neural Network Favorable JPEG-based Image Compression Framework. CoRR (2018)
Zihao Liu, Tao Liu, Wujie Wen, Lei Jiang, Jie Xu, Yanzhi Wang, Gang Quan
DeepN-JPEG: a deep neural network favorable JPEG-based image compression framework. DAC (2018)
Zihao Liu, Tao Liu, Jie Guo, Nansong Wu, Wujie Wen
An ECC-Free MLC STT-RAM Based Approximate Memory Design for Multimedia Applications. ISVLSI (2018)
Tao Liu, Wujie Wen
A fast and ultra low power time-based spiking neuromorphic architecture for embedded applications. ISQED (2017)
Tao Liu, Zihao Liu, Fuhong Lin, Yier Jin, Gang Quan, Wujie Wen
MT-spike: A multilayer time-based spiking neuromorphic architecture with temporal error backpropagation. ICCAD (2017)