A Range-Extended and Area-Efficient Time-to-Digital Converter Utilizing Ring-Tapped Delay Line. - Xin-Gang Wang; Fei Wang; Rui Jia; Rui Chen 014; Tian Zhi; Hai-Gang Yang (IEICE Trans. Electron., 2013)

TuNao: A High-Performance and Energy-Efficient Reconfigurable Accelerator for Graph Processing. - Jinhong Zhou; Shaoli Liu; Qi Guo 001; Xuda Zhou; Tian Zhi; Dao-Fu Liu; Chao Wang 003; Xuehai Zhou; Yunji Chen; Tianshi Chen 002 (CCGrid, 2017)

A survey of neural network accelerators. - Zhen Li; Yuqing Wang; Tian Zhi; Tianshi Chen 002 (Frontiers Comput. Sci., 2017)

Leveraging Subgraph Extraction for Performance Portable Programming Frameworks on DL Accelerators. - Xiao Zhang; Huiying Lan; Tian Zhi (NPC, 2018)

TDSNN: From Deep Neural Networks to Deep Spike Neural Networks with Temporal-Coding. - Lei Zhang 008; Shengyuan Zhou; Tian Zhi; Zidong Du; Yunji Chen (AAAI, 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 (APPT, 2019)

ZhuQue: A Neural Network Programming Model Based on Labeled Data Layout. - Weijian Du; Linyang Wu; Xiaobing Chen; Yimin Zhuang; Tian Zhi (APPT, 2019)

Compiling Optimization for Neural Network Accelerators. - Jin Song; Yimin Zhuang; Xiaobing Chen; Tian Zhi; Shaoli Liu (APPT, 2019)

Deep Fusion: A Software Scheduling Method for Memory Access Optimization. - Yimin Zhuang; Shaohui Peng; Xiaobing Chen; Shengyuan Zhou; Tian Zhi; Wei Li 008; Shaoli Liu (NPC, 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)

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)

DWM: A Decomposable Winograd Method for Convolution Acceleration. - Di Huang; Xishan Zhang; Rui Zhang 040; Tian Zhi; Deyuan He; Jiaming Guo; Chang Liu 021; Qi Guo 001; Zidong Du; Shaoli Liu; Tianshi Chen 002; Yunji Chen (AAAI, 2020)

Fixed-Point Back-Propagation Training. - Xishan Zhang; Shaoli Liu; Rui Zhang 040; Chang Liu 021; Di Huang; Shiyi Zhou; Jiaming Guo; Qi Guo 001; Zidong Du; Tian Zhi; Yunji Chen (CVPR, 2020)

ALT: Optimizing Tensor Compilation in Deep Learning Compilers with Active Learning. - Xi Zeng; Tian Zhi; Zidong Du; Qi Guo 001; Ninghui Sun; Yunji Chen (ICCD, 2020)

COKE: Communication-Censored Kernel Learning for Decentralized Non-parametric Learning. - Ping Xu; Yue Wang; Xiang Chen; Tian Zhi (CoRR, 2020)

Self-Aware Neural Network Systems: A Survey and New Perspective. - Zidong Du; Qi Guo 001; Yongwei Zhao; Tian Zhi; Yunji Chen; Zhiwei Xu 002 (Proc. IEEE, 2020)

Addressing Irregularity in Sparse Neural Networks Through a Cooperative Software/Hardware Approach. - Xi Zeng; Tian Zhi; Xuda Zhou; Zidong Du; Qi Guo 001; Shaoli Liu; Bingrui Wang; Yuanbo Wen; Chao Wang 003; Xuehai Zhou; Ling Li 001; Tianshi Chen 002; et al. (IEEE Trans. Computers, 2020)

Machine Learning Computers With Fractal von Neumann Architecture. - Yongwei Zhao; Zhe Fan; Zidong Du; Tian Zhi; Ling Li 001; Qi Guo 001; Shaoli Liu; Zhiwei Xu 002; Tianshi Chen 002; Yunji Chen (IEEE Trans. Computers, 2020)

Space-address decoupled scratchpad memory management for neural network accelerators. - Zhenxing Zhang; Shiyan Sun; Xunyu Chen; Tian Zhi; Qi Guo 001; Yunji Chen (Concurr. Comput. Pract. Exp., 2021)

Tetris: A Heuristic Static Memory Management Framework for Uniform Memory Multicore Neural Network Accelerators. - Xiaobing Chen; Hao Qi 004; Shaohui Peng; Yimin Zhuang; Tian Zhi; Yunji Chen (J. Comput. Sci. Technol., 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 008; Xing Hu 001; Zidong Du; Qi Guo 001; Yunji Chen (IEEE Trans. Comput. Aided Des. Integr. Circuits Syst., 2022)

Cambricon-R: A Fully Fused Accelerator for Real-Time Learning of Neural Scene Representation. - Xinkai Song; Yuanbo Wen; Xing Hu 001; Tianbo Liu 006; Haoxuan Zhou; Husheng Han; Tian Zhi; Zidong Du; Wei Li 008; Rui Zhang 040; Chen Zhang 001; Lin Gao 004; et al. (MICRO, 2023)

DyPipe: A Holistic Approach to Accelerating Dynamic Neural Networks with Dynamic Pipelining. - Yimin Zhuang; Xing Hu 001; Xiaobing Chen; Tian Zhi (J. Comput. Sci. Technol., 2023)

Hardware Acceleration for SLAM in Mobile Systems. - Zhe Fan; Yifan Hao 001; Tian Zhi; Qi Guo 001; Zidong Du (J. Comput. Sci. Technol., 2023)

Cambricon-LLM: A Chiplet-Based Hybrid Architecture for On-Device Inference of 70B LLM. - Zhongkai Yu; Shengwen Liang; Tianyun Ma; Yunke Cai; Ziyuan Nan; Di Huang; Xinkai Song; Yifan Hao 001; Jie Zhang 048; Tian Zhi; Yongwei Zhao; Zidong Du; et al. (MICRO, 2024)

CISGraph: A Contribution-Driven Accelerator for Pairwise Streaming Graph Analytics. - Songyu Feng; Mo Zou; Tian Zhi; Zidong Du (DATE, 2025)

MM-LINS: A Multi-Map LiDAR-Inertial System for Over-Degenerate Environments. - Yongxin Ma; Jie Xu; Shenghai Yuan; Tian Zhi; Wenlu Yu; Jun Zhou; Lihua Xie 001 (IEEE Trans. Intell. Veh., 2025)