Shijin Zhang

According to our database, Shijin Zhang authored at least 15 papers between 2014 and 2023.

Collaborative distances:

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

2023

Segmentation of thyroid glands and nodules in ultrasound images using the improved U-Net architecture.

Tianlei Zheng, Hang Qin, Yingying Cui, Rong Wang, Weiguo Zhao, Shijin Zhang, Shi Geng, Lei Zhao

BMC Medical Imaging, December, 2023

OmniForce: On Human-Centered, Large Model Empowered and Cloud-Edge Collaborative AutoML System.

Chao Xue, Wei Liu, Shuai Xie, Zhenfang Wang, Jiaxing Li, Xuyang Peng, Liang Ding, Shanshan Zhao, Qiong Cao, Yibo Yang, Fengxiang He, Bohua Cai, Rongcheng Bian, Yiyan Zhao, Heliang Zheng, Xiangyang Liu, Dongkai Liu, Daqing Liu, Li Shen, Chang Li, Shijin Zhang, Yukang Zhang, Guanpu Chen, Shixiang Chen, Yibing Zhan, Jing Zhang, Chaoyue Wang, Dacheng Tao

CoRR, 2023

Creative NFT-Copyrighted AR Face Mask Authoring Using Unity3D Editor.

Mohamed Suleum Salim Al Hamzy, Shijin Zhang, Hong Huang, Wanwan Li

Proceedings of the 2023 7th International Conference on E-Commerce, 2023

2022

A Dead Reckoning Calibration Scheme Based on Optimization with an Adaptive Quantum-Inspired Evolutionary Algorithm for Vehicle Self-Localization.

Biao Yu, Hui Zhu, Deyi Xue, Liwei Xu, Shijin Zhang, Bichun Li

Entropy, 2022

Review of latest noninvasive EEG-based robotic devices.

Pei Rong Fu, Hongqi Li, Shijin Zhang

Proceedings of the IEEE/ASME International Conference on Advanced Intelligent Mechatronics, 2022

2021

Gaze-Pinch Menu: Performing Multiple Interactions Concurrently in Mixed Reality.

Lu Lu, Pengshuai Duan, Xukun Shen, Shijin Zhang, Huiyan Feng, Yong Flu

Proceedings of the IEEE Conference on Virtual Reality and 3D User Interfaces Abstracts and Workshops, 2021

2020

Prior Knowledge about Attributes: Learning a More Effective Potential Space for Zero-Shot Recognition.

Chunlai Chai, Yukuan Lou, Shijin Zhang

CoRR, 2020

Cascade Network for Self-Supervised Monocular Depth Estimation.

Chunlai Chai, Yukuan Lou, Shijin Zhang

CoRR, 2020

Prior Knowledge about Attributes: Learning a More Effective Potential Space for Zero-Shot Recognition.

Chunlai Chai, Yukuan Lou, Shijin Zhang, Ming Hua

Proceedings of the 25th International Conference on Pattern Recognition, 2020

2019

Addressing Sparsity in Deep Neural Networks.

Xuda Zhou, Zidong Du, Shijin Zhang, Lei Zhang, Huiying Lan, Shaoli Liu, Ling Li, Qi Guo, Tianshi Chen, Yunji Chen

IEEE Trans. Comput. Aided Des. Integr. Circuits Syst., 2019

2017

DaDianNao: A Neural Network Supercomputer.

Tao Luo, Shaoli Liu, Ling Li, Yuqing Wang, Shijin Zhang, Tianshi Chen, Zhiwei Xu, Olivier Temam, Yunji Chen

IEEE Trans. Computers, 2017

2016

Cambricon-X: An accelerator for sparse neural networks.

Shijin Zhang, Zidong Du, Lei Zhang, Huiying Lan, Shaoli Liu, Ling Li, Qi Guo, Tianshi Chen, Yunji Chen

Proceedings of the 49th Annual IEEE/ACM International Symposium on Microarchitecture, 2016

2015

A Small-Footprint Accelerator for Large-Scale Neural Networks.

Tianshi Chen, Shijin Zhang, Shaoli Liu, Zidong Du, Tao Luo, Yuan Gao, Junjie Liu, Dongsheng Wang, Chengyong Wu, Ninghui Sun, Yunji Chen, Olivier Temam

ACM Trans. Comput. Syst., 2015

Deterministic Replay: A Survey.

Yunji Chen, Shijin Zhang, Qi Guo, Ling Li, Ruiyang Wu, Tianshi Chen

ACM Comput. Surv., 2015

2014

DaDianNao: A Machine-Learning Supercomputer.

Yunji Chen, Tao Luo, Shaoli Liu, Shijin Zhang, Liqiang He, Jia Wang, Ling Li, Tianshi Chen, Zhiwei Xu, Ninghui Sun, Olivier Temam

Proceedings of the 47th Annual IEEE/ACM International Symposium on Microarchitecture, 2014