2022年6月至今，复旦大学芯片与系统前沿技术研究院博士后。

2017年9月—2022年6月，复旦大学，微电子学与固体电子学，理学博士，导师：曾晓洋。

2013年9月—2017年6月，复旦大学，微电子科学与工程，工学学士。

研究内容：主要从事存算融合智能处理器芯片架构与系统、Chiplet集成芯片系统等领域的研究，致力于通过电路、架构、算法的跨层次协同优化实现高能效、高可扩展的智能处理芯片与系统。目前已在相关领域发表多篇学术论文，其中基于存边计算的2.5D集成芯片系统COMB-MCM入选ISSCC 2022会议。已获得3项发明专利授权。

代表论著：

[1]  Zhu, Haozhe, Bo Jiao, Jinshan Zhang et al. “COMB-MCM: Computing-on-Memory-Boundary NN Processor with Bipolar Bitwise Sparsity Optimization for Scalable Multi-Chiplet-Module Edge Machine Learning”, In 2022 International Solid-State Circuits Conference (ISSCC), pp. 250-252, IEEE, 2022.

[2]  Zhu, Haozhe, Chixiao Chen, Shiwei Liu et al. “A Communication-Aware DNN Accelerator on ImageNet Using in-Memory Entry-Counting Based Algorithm-Circuit-Architecture Co-Design in 65nm CMOS.” In IEEE Journal on Emerging and Selected Topics in Circuits and Systems10, no. 3 (2020): 283-294.

[3]  Zhu, Haozhe, Yu Wang, and C.-J. Richard Shi. “Tanji: A General-Purpose Neural Network Accelerator with a Unified Crossbar Architecture.”IEEE Design & Test37, no. 1 (2019): 56-63.

[4]  Jiao, Bo, Haozhe Zhu, Jinshan Zhang et al. “Computing Utilization Enhancement for Chiplet-based Homogeneous Processing-in-Memory Deep Learning Processors.” In 2021 31st Great Lakes Symposium on VLSI (GLSVLSI), pp. 241-246. ACM, 2021. (Co-first author)

[5]  Jia, Xinru, Haozhe Zhu et al. “Accepted, not yet officially published”, In2022 IEEE International Symposium on Circuits and Systems (ISCAS), IEEE, 2022.

[6]  Zhang, Jinshan, Bo Jiao, Yunzhengmao Wang,Haozhe Zhuet al. “ALPINE: An Agile Processing-in-Memory Macro Compilation Framework.” In2021 31st Great Lakes Symposium on VLSI (GLSVLSI), pp. 333-338. ACM, 2021.

[7]  Liu, Shiwei, Haozhe Zhu, Chixiao Chen et al. “XNORAM: An Efficient Computing-in-Memory Architecture for Binary Convolutional Neural Networks with Flexible Dataflow Mapping.” In2020 2nd IEEE International Conference on Artificial Intelligence Circuits and Systems (AICAS), pp. 21-25. IEEE, 2020.