Tian Zhi

According to our database, Tian Zhi authored at least 24 papers between 2013 and 2023.

Collaborative distances:

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

2023

Hardware Acceleration for SLAM in Mobile Systems.

Zhe Fan, Yifan Hao, Tian Zhi, Qi Guo, Zidong Du

J. Comput. Sci. Technol., December, 2023

DyPipe: A Holistic Approach to Accelerating Dynamic Neural Networks with Dynamic Pipelining.

Yimin Zhuang, Xing Hu, Xiaobing Chen, Tian Zhi

J. Comput. Sci. Technol., July, 2023

Cambricon-R: A Fully Fused Accelerator for Real-Time Learning of Neural Scene Representation.

Xinkai Song, Yuanbo Wen, Xing Hu, Tianbo Liu, Haoxuan Zhou, Husheng Han, Tian Zhi, Zidong Du, Wei Li, Rui Zhang, Chen Zhang, Lin Gao, Qi Guo, Tianshi Chen

Proceedings of the 56th Annual IEEE/ACM International Symposium on Microarchitecture, 2023

2022

Cambricon-G: A Polyvalent Energy-Efficient Accelerator for Dynamic Graph Neural Networks.

Xinkai Song, Tian Zhi, Zhe Fan, Zhenxing Zhang, Xi Zeng, Wei Li, Xing Hu, Zidong Du, Qi Guo, Yunji Chen

IEEE Trans. Comput. Aided Des. Integr. Circuits Syst., 2022

Tetris: A Heuristic Static Memory Management Framework for Uniform Memory Multicore Neural Network Accelerators.

Xiaobing Chen, Hao Qi, Shaohui Peng, Yimin Zhuang, Tian Zhi, Yunji Chen

J. Comput. Sci. Technol., 2022

2021

Space-address decoupled scratchpad memory management for neural network accelerators.

Zhenxing Zhang, Shiyan Sun, Xunyu Chen, Tian Zhi, Qi Guo, Yunji Chen

Concurr. Comput. Pract. Exp., 2021

2020

Machine Learning Computers With Fractal von Neumann Architecture.

Yongwei Zhao, Zhe Fan, Zidong Du, Tian Zhi, Ling Li, Qi Guo, Shaoli Liu, Zhiwei Xu, Tianshi Chen, Yunji Chen

IEEE Trans. Computers, 2020

Addressing Irregularity in Sparse Neural Networks Through a Cooperative Software/Hardware Approach.

Xi Zeng, Tian Zhi, Xuda Zhou, Zidong Du, Qi Guo, Shaoli Liu, Bingrui Wang, Yuanbo Wen, Chao Wang, Xuehai Zhou, Ling Li, Tianshi Chen, Ninghui Sun, Yunji Chen

IEEE Trans. Computers, 2020

Self-Aware Neural Network Systems: A Survey and New Perspective.

Zidong Du, Qi Guo, Yongwei Zhao, Tian Zhi, Yunji Chen, Zhiwei Xu

Proc. IEEE, 2020

COKE: Communication-Censored Kernel Learning for Decentralized Non-parametric Learning.

Ping Xu, Yue Wang, Xiang Chen, Tian Zhi

CoRR, 2020

ALT: Optimizing Tensor Compilation in Deep Learning Compilers with Active Learning.

Xi Zeng, Tian Zhi, Zidong Du, Qi Guo, Ninghui Sun, Yunji Chen

Proceedings of the 38th IEEE International Conference on Computer Design, 2020

Fixed-Point Back-Propagation Training.

Xishan Zhang, Shaoli Liu, Rui Zhang, Chang Liu, Di Huang, Shiyi Zhou, Jiaming Guo, Qi Guo, Zidong Du, Tian Zhi, Yunji Chen

Proceedings of the 2020 IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2020

DWM: A Decomposable Winograd Method for Convolution Acceleration.

Di Huang, Xishan Zhang, Rui Zhang, Tian Zhi, Deyuan He, Jiaming Guo, Chang Liu, Qi Guo, Zidong Du, Shaoli Liu, Tianshi Chen, Yunji Chen

Proceedings of the Thirty-Fourth AAAI Conference on Artificial Intelligence, 2020

2019

BSHIFT: A Low Cost Deep Neural Networks Accelerator.

Yong Yu, Tian Zhi, Xuda Zhou, Shaoli Liu, Yunji Chen, Shuyao Cheng

Int. J. Parallel Program., 2019

Float-Fix: An Efficient and Hardware-Friendly Data Type for Deep Neural Network.

Dong Han, Shengyuan Zhou, Tian Zhi, Yibo Wang, Shaoli Liu

Int. J. Parallel Program., 2019

Deep Fusion: A Software Scheduling Method for Memory Access Optimization.

Yimin Zhuang, Shaohui Peng, Xiaobing Chen, Shengyuan Zhou, Tian Zhi, Wei Li, Shaoli Liu

Proceedings of the Network and Parallel Computing, 2019

Compiling Optimization for Neural Network Accelerators.

Jin Song, Yimin Zhuang, Xiaobing Chen, Tian Zhi, Shaoli Liu

Proceedings of the Advanced Parallel Processing Technologies, 2019

ZhuQue: A Neural Network Programming Model Based on Labeled Data Layout.

Weijian Du, Linyang Wu, Xiaobing Chen, Yimin Zhuang, Tian Zhi

Proceedings of the Advanced Parallel Processing Technologies, 2019

Partition and Scheduling Algorithms for Neural Network Accelerators.

Xiaobing Chen, Shaohui Peng, Luyang Jin, Yimin Zhuang, Jin Song, Weijian Du, Shaoli Liu, Tian Zhi

Proceedings of the Advanced Parallel Processing Technologies, 2019

TDSNN: From Deep Neural Networks to Deep Spike Neural Networks with Temporal-Coding.

Lei Zhang, Shengyuan Zhou, Tian Zhi, Zidong Du, Yunji Chen

Proceedings of the Thirty-Third AAAI Conference on Artificial Intelligence, 2019

2018

Leveraging Subgraph Extraction for Performance Portable Programming Frameworks on DL Accelerators.

Xiao Zhang, Huiying Lan, Tian Zhi

Proceedings of the Network and Parallel Computing, 2018

2017

A survey of neural network accelerators.

Zhen Li, Yuqing Wang, Tian Zhi, Tianshi Chen

Frontiers Comput. Sci., 2017

TuNao: A High-Performance and Energy-Efficient Reconfigurable Accelerator for Graph Processing.

Jinhong Zhou, Shaoli Liu, Qi Guo, Xuda Zhou, Tian Zhi, Dao-Fu Liu, Chao Wang, Xuehai Zhou, Yunji Chen, Tianshi Chen

Proceedings of the 17th IEEE/ACM International Symposium on Cluster, 2017

2013

A Range-Extended and Area-Efficient Time-to-Digital Converter Utilizing Ring-Tapped Delay Line.

Xin-Gang Wang, Fei Wang, Rui Jia, Rui Chen, Tian Zhi, Hai-Gang Yang

IEICE Trans. Electron., 2013