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)

Cambricon-Q: A Hybrid Architecture for Efficient Training. - Yongwei Zhao; Chang Liu 021; Zidong Du; Qi Guo 001; Xing Hu 001; Yimin Zhuang; Zhenxing Zhang; Xinkai Song; Wei Li 008; Xishan Zhang; Ling Li 001; Zhiwei Xu 002; et al. (ISCA, 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)

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)