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Tian Zhi
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2020 – today
- 2023
- [j12]Yimin Zhuang, Xing Hu, Xiaobing Chen, Tian Zhi:
DyPipe: A Holistic Approach to Accelerating Dynamic Neural Networks with Dynamic Pipelining. J. Comput. Sci. Technol. 38(4): 899-910 (2023) - [j11]Zhe Fan, Yifan Hao, Tian Zhi, Qi Guo, Zidong Du:
Hardware Acceleration for SLAM in Mobile Systems. J. Comput. Sci. Technol. 38(6): 1300-1322 (2023) - [c11]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:
Cambricon-R: A Fully Fused Accelerator for Real-Time Learning of Neural Scene Representation. MICRO 2023: 1305-1318 - 2022
- [j10]Xiaobing Chen, Hao Qi, Shaohui Peng, Yimin Zhuang, Tian Zhi, Yunji Chen:
Tetris: A Heuristic Static Memory Management Framework for Uniform Memory Multicore Neural Network Accelerators. J. Comput. Sci. Technol. 37(6): 1255-1270 (2022) - [j9]Xinkai Song, Tian Zhi, Zhe Fan, Zhenxing Zhang, Xi Zeng, Wei Li, Xing Hu, Zidong Du, Qi Guo, Yunji Chen:
Cambricon-G: A Polyvalent Energy-Efficient Accelerator for Dynamic Graph Neural Networks. IEEE Trans. Comput. Aided Des. Integr. Circuits Syst. 41(1): 116-128 (2022) - 2021
- [j8]Zhenxing Zhang, Shiyan Sun, Xunyu Chen, Tian Zhi, Qi Guo, Yunji Chen:
Space-address decoupled scratchpad memory management for neural network accelerators. Concurr. Comput. Pract. Exp. 33(6) (2021) - 2020
- [j7]Zidong Du, Qi Guo, Yongwei Zhao, Tian Zhi, Yunji Chen, Zhiwei Xu:
Self-Aware Neural Network Systems: A Survey and New Perspective. Proc. IEEE 108(7): 1047-1067 (2020) - [j6]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:
Addressing Irregularity in Sparse Neural Networks Through a Cooperative Software/Hardware Approach. IEEE Trans. Computers 69(7): 968-985 (2020) - [j5]Yongwei Zhao, Zhe Fan, Zidong Du, Tian Zhi, Ling Li, Qi Guo, Shaoli Liu, Zhiwei Xu, Tianshi Chen, Yunji Chen:
Machine Learning Computers With Fractal von Neumann Architecture. IEEE Trans. Computers 69(7): 998-1014 (2020) - [c10]Di Huang, Xishan Zhang, Rui Zhang, Tian Zhi, Deyuan He, Jiaming Guo, Chang Liu, Qi Guo, Zidong Du, Shaoli Liu, Tianshi Chen, Yunji Chen:
DWM: A Decomposable Winograd Method for Convolution Acceleration. AAAI 2020: 4174-4181 - [c9]Xishan Zhang, Shaoli Liu, Rui Zhang, Chang Liu, Di Huang, Shiyi Zhou, Jiaming Guo, Qi Guo, Zidong Du, Tian Zhi, Yunji Chen:
Fixed-Point Back-Propagation Training. CVPR 2020: 2327-2335 - [c8]Xi Zeng, Tian Zhi, Zidong Du, Qi Guo, Ninghui Sun, Yunji Chen:
ALT: Optimizing Tensor Compilation in Deep Learning Compilers with Active Learning. ICCD 2020: 623-630 - [i2]Ping Xu, Yue Wang, Xiang Chen, Tian Zhi:
COKE: Communication-Censored Kernel Learning for Decentralized Non-parametric Learning. CoRR abs/2001.10133 (2020) - [i1]Di Huang, Xishan Zhang, Rui Zhang, Tian Zhi, Deyuan He, Jiaming Guo, Chang Liu, Qi Guo, Zidong Du, Shaoli Liu, Tianshi Chen, Yunji Chen:
DWM: A Decomposable Winograd Method for Convolution Acceleration. CoRR abs/2002.00552 (2020)
2010 – 2019
- 2019
- [j4]Dong Han, Shengyuan Zhou, Tian Zhi, Yibo Wang, Shaoli Liu:
Float-Fix: An Efficient and Hardware-Friendly Data Type for Deep Neural Network. Int. J. Parallel Program. 47(3): 345-359 (2019) - [j3]Yong Yu, Tian Zhi, Xuda Zhou, Shaoli Liu, Yunji Chen, Shuyao Cheng:
BSHIFT: A Low Cost Deep Neural Networks Accelerator. Int. J. Parallel Program. 47(3): 360-372 (2019) - [c7]Lei Zhang, Shengyuan Zhou, Tian Zhi, Zidong Du, Yunji Chen:
TDSNN: From Deep Neural Networks to Deep Spike Neural Networks with Temporal-Coding. AAAI 2019: 1319-1326 - [c6]Jin Song, Yimin Zhuang, Xiaobing Chen, Tian Zhi, Shaoli Liu:
Compiling Optimization for Neural Network Accelerators. APPT 2019: 15-26 - [c5]Weijian Du, Linyang Wu, Xiaobing Chen, Yimin Zhuang, Tian Zhi:
ZhuQue: A Neural Network Programming Model Based on Labeled Data Layout. APPT 2019: 27-39 - [c4]Xiaobing Chen, Shaohui Peng, Luyang Jin, Yimin Zhuang, Jin Song, Weijian Du, Shaoli Liu, Tian Zhi:
Partition and Scheduling Algorithms for Neural Network Accelerators. APPT 2019: 55-67 - [c3]Yimin Zhuang, Shaohui Peng, Xiaobing Chen, Shengyuan Zhou, Tian Zhi, Wei Li, Shaoli Liu:
Deep Fusion: A Software Scheduling Method for Memory Access Optimization. NPC 2019: 277-288 - 2018
- [c2]Xiao Zhang, Huiying Lan, Tian Zhi:
Leveraging Subgraph Extraction for Performance Portable Programming Frameworks on DL Accelerators. NPC 2018: 179-184 - 2017
- [j2]Zhen Li, Yuqing Wang, Tian Zhi, Tianshi Chen:
A survey of neural network accelerators. Frontiers Comput. Sci. 11(5): 746-761 (2017) - [c1]Jinhong Zhou, Shaoli Liu, Qi Guo, Xuda Zhou, Tian Zhi, Dao-Fu Liu, Chao Wang, Xuehai Zhou, Yunji Chen, Tianshi Chen:
TuNao: A High-Performance and Energy-Efficient Reconfigurable Accelerator for Graph Processing. CCGrid 2017: 731-734 - 2013
- [j1]Xin-Gang Wang, Fei Wang, Rui Jia, Rui Chen, Tian Zhi, Hai-Gang Yang:
A Range-Extended and Area-Efficient Time-to-Digital Converter Utilizing Ring-Tapped Delay Line. IEICE Trans. Electron. 96-C(9): 1184-1194 (2013)
Coauthor Index
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