集成电路设计，可重构计算

硕士研究生，计算机系统结构

081201-计算机系统结构

集成电路设计，可重构计算

2009-09--2014-06   中国科学院电子学研究所   硕博连读，获得工学博士学位
2005-09--2009-06   浙江大学   本科，工学学士

2020年9月—今：中国科学院计算技术研究所，高级工程师

2017年7月—2020年9月：中国科学院计算技术研究所，工程师

2014年7月—2017年6月：中国科学院计算技术研究所，博士后

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智能计算机基础及应用

会议文章：

1. Zhongkai Yu, Shengwen Liang, Tianyun Ma, Yunke Cai, Ziyuan Nan, Di Huang, Xinkai Song, Yifan Hao, Jie Zhang, Tian Zhi, Yongwei Zhao, Zidong Du, Xing Hu, Qi Guo, Tianshi Chen: Cambricon-LLM: A Chiplet-Based Hybrid Architecture for On-Device Inference of 70B LLM. MICRO 2024: 1474-1488

2. 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

3. 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).

4. 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. 

5. 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 

6.  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. 

7.  Jin Song, Yimin Zhuang, Xiaobing Chen, Tian Zhi, Shaoli Liu: Compiling Optimization for Neural Network Accelerators. APPT 2019: 15-26. 

8. 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. 

9. 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. 

10. 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. 

11. Xiao Zhang, Huiying Lan, Tian Zhi: Leveraging Subgraph Extraction for Performance Portable Programming Frameworks on DL Accelerators. NPC 2018: 179-184. 

12. 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.

期刊文章: 

• Luan, X., Liu, P., Huang, D. et al. piRT-IFC: Physics-informed real-time impedance flow cytometry for the characterization of cellular intrinsic electrical properties. Microsyst Nanoeng 9, 77 (2023). https://doi.org/10.1038/s41378-023-00545-9

• 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)

• 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)

• 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).

• 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)

• Zidong Du, Qi Guo, Yongwei Zhao, Tian Zhi, Yunji Chen, Zhiwei Xu: Self-Aware Neural Network Systems: A Survey and New Perspective. Proceedings of the IEEE 108(7): 1047-1067 (2020). 

• 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). 

• 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). 

•  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). 

• 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). 

• Zhen Li, Yuqing Wang, Tian Zhi, Tianshi Chen: A survey of neural network accelerators. Frontiers Comput. Sci. 11(5): 746-761 (2017). 

作为课题负责人承担了国家自然科学基金等7项课题。 

已指导学生

黄谦  硕士研究生  085404-计算机技术  

贺小龙  硕士研究生  085400-电子信息  

现指导学生

周昊轩  硕士研究生  085404-计算机技术  

冯嵩玉  硕士研究生  085404-计算机技术  

王宏光  硕士研究生  085400-电子信息  

刘孜晟  硕士研究生  085400-电子信息  

全施雨  硕士研究生  085400-电子信息