Zihao Liu

According to our database, Zihao Liu authored at least 27 papers between 2017 and 2026.

Collaborative distances:

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

2026

Closely-Coupled Reconstruction and Generation for Blind Face Restoration.

Shichen Peng, Jiaming Liu, Zihao Liu, Hongzhong Zheng, Dimin Niu, Xiaoyang Zeng, Yibo Fan

IEEE Trans. Multim., 2026

2025

Unicorn: Unified Neural Image Compression with One Number Reconstruction.

Qi Zheng, Haozhi Wang, Zihao Liu, Jiaming Liu, Zhijian Hao, Bu Chen, Min Li, Rui Wan, Peiye Liu, Yanheng Lu, Dimin Niu, Jinjia Zhou, Minge Jing, Yibo Fan

Proceedings of the 33rd ACM International Conference on Multimedia, 2025

Frequency-Biased Synergistic Design for Image Compression and Compensation.

Jiaming Liu, Qi Zheng, Zihao Liu, Yilian Zhong, Peiye Liu, Tao Liu, Shusong Xu, Yanheng Lu, Sicheng Li, Dimin Niu, Yibo Fan

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2025

2024

Unicorn: Unified Neural Image Compression with One Number Reconstruction.

Qi Zheng, Haozhi Wang, Zihao Liu, Jiaming Liu, Peiye Liu, Zhijian Hao, Yanheng Lu, Dimin Niu, Jinjia Zhou, Ming-e Jing, Yibo Fan

CoRR, 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

Zero-Shot Structure-Preserving Diffusion Model for High Dynamic Range Tone Mapping.

Ruoxi Zhu, Shusong Xu, Peiye Liu, Sicheng Li, Yanheng Lu, Dimin Niu, Zihao Liu, Zihao Meng, Zhiyong Li, Xinhua Chen, Yibo Fan

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2024

2023

NPS: A Framework for Accurate Program Sampling Using Graph Neural Network.

Yuanwei Fang, Zihao Liu, Yanheng Lu, Jiawei Liu, Jiajie Li, Yi Jin, Jian Chen, Yen-Kuang Chen, Hongzhong Zheng, Yuan Xie

CoRR, 2023

MIPI 2023 Challenge on Nighttime Flare Removal: Methods and Results.

Yuekun Dai, Chongyi Li, Shangchen Zhou, Ruicheng Feng, Qingpeng Zhu, Qianhui Sun, Wenxiu Sun, Chen Change Loy, Jinwei Gu, Shuai Liu, Hao Wang, Chaoyu Feng, Luyang Wang, Guangqi Shao, Chenguang Zhang, Xiaotao Wang, Lei Lei, Dafeng Zhang, Xiangyu Kong, Guanqun Liu, Mengmeng Bai, Jia Ouyang, Xiaobing Wang, Jiahui Yuan, Xinpeng Li, Chengzhi Jiang, Ting Jiang, Wenjie Lin, Qi Wu, Mingyan Han, Jinting Luo, Lei Yu, Haoqiang Fan, Shuaicheng Liu, Bo Yan, Zhuang Li, Yadong Li, Hongbin Wang, Soonyong Song, Minghan Fu, Rayyan Azam Khan, Fang-Xiang Wu, Zhao Zhang, Suiyi Zhao, Huan Zheng, Yangcheng Gao, Yanyan Wei, Jiahuan Ren, Bo Wang, Yan Luo, Shuaibo Gao, Wenhui Wu, Sicong Kang, Nikhil Akalwadi, Ankit Raichur, Vinod Patil, Allabakash Ghodesawar, Swaroop Adrashyappanamath, Amogh Joshi, Chaitra Desai, Ramesh Ashok Tabib, Ujwala Patil, Uma Mudenagudi, Sicheng Li, Ruoxi Zhu, Jiazheng Lian, Shusong Xu, Zihao Liu, Sabari Nathan, Priya Kansal

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2023

AI-assisted ISP hyperparameter auto tuning.

Fa Xu, Zihao Liu, Yanheng Lu, Sicheng Li, Susong Xu, Yibo Fan, Yen-Kuang Chen

Proceedings of the 5th IEEE International Conference on Artificial Intelligence Circuits and Systems, 2023

2020

ShiftAddNet: A Hardware-Inspired Deep Network.

Haoran You, Xiaohan Chen, Yongan Zhang, Chaojian Li, Sicheng Li, Zihao Liu, Zhangyang Wang, Yingyan Lin

Proceedings of the Advances in Neural Information Processing Systems 33: Annual Conference on Neural Information Processing Systems 2020, 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

Do Noises Bother Human and Neural Networks In the Same Way? A Medical Image Analysis Perspective.

Shao-Cheng Wen, Yu-Jen Chen, Zihao Liu, Wujie Wen, Xiaowei Xu, Yiyu Shi, Tsung-Yi Ho, Qianjun Jia, Meiping Huang, Jian Zhuang

Proceedings of the IEEE International Conference on Bioinformatics and Biomedicine, 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

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

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

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

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

A statistical STT-RAM retention model for fast memory subsystem designs.

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

Proceedings of the 22nd Asia and South Pacific Design Automation Conference, 2017