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ORCIDHanbo Sun
Publications
- 2024
[j5]Shiyao Li
, Zhenhua Zhu, Hanbo Sun, Xuefei Ning, Guohao Dai, Yiming Hu, Huazhong Yang, Yu Wang:
Toward High-Accuracy and Real-Time Two-Stage Small Object Detection on FPGA. IEEE Trans. Circuits Syst. Video Technol. 34(9): 8053-8066 (2024)- 2023
- [j4]Hanbo Sun, Zhenhua Zhu, Chenyu Wang, Xuefei Ning, Guohao Dai, Huazhong Yang, Yu Wang:
Gibbon: An Efficient Co-Exploration Framework of NN Model and Processing-In-Memory Architecture. IEEE Trans. Comput. Aided Des. Integr. Circuits Syst. 42(11): 4075-4089 (2023) - [j3]Zhenhua Zhu, Hanbo Sun, Tongxin Xie, Yu Zhu, Guohao Dai, Lixue Xia, Dimin Niu, Xiaoming Chen, Xiaobo Sharon Hu, Yu Cao, Yuan Xie, Huazhong Yang, Yu Wang:
MNSIM 2.0: A Behavior-Level Modeling Tool for Processing-In-Memory Architectures. IEEE Trans. Comput. Aided Des. Integr. Circuits Syst. 42(11): 4112-4125 (2023) - [c17]Yu Zhu, Zhenhua Zhu, Guohao Dai, Fengbin Tu, Hanbo Sun, Kwang-Ting Cheng, Huazhong Yang, Yu Wang:
PIM-HLS: An Automatic Hardware Generation Tool for Heterogeneous Processing-In-Memory-based Neural Network Accelerators. DAC 2023: 1-6 - [c16]Hanbo Sun, Tongxin Xie, Zhenhua Zhu, Guohao Dai, Huazhong Yang, Yu Wang:
Minimizing Communication Conflicts in Network-On-Chip Based Processing-In-Memory Architecture. DATE 2023: 1-6 - 2022
- [c14]Hanbo Sun, Chenyu Wang, Zhenhua Zhu, Xuefei Ning, Guohao Dai, Huazhong Yang, Yu Wang:
Gibbon: Efficient Co-Exploration of NN Model and Processing-In-Memory Architecture. DATE 2022: 867-872 - [c13]Jun Liu, Zhenhua Zhu, Jingbo Hu, Hanbo Sun, Li Liu, Lingzhi Liu, Guohao Dai, Huazhong Yang, Yu Wang:
Optimizing Graph-based Approximate Nearest Neighbor Search: Stronger and Smarter. MDM 2022: 179-184 - 2021
- [c12]Kaizhong Qiu, Zhenhua Zhu, Yi Cai, Hanbo Sun, Yu Wang, Huanzhong Yang:
MNSIM-TIME: Performance Modeling Framework for Training-In-Memory Architectures. AICAS 2021: 1-4 - [c11]Hanbo Sun, Zhenhua Zhu, Yi Cai, Shulin Zeng, Kaizhong Qiu, Yu Wang, Huazhong Yang:
Reliability-Aware Training and Performance Modeling for Processing-In-Memory Systems. ASP-DAC 2021: 847-852 - 2020
- [c8]Hanbo Sun, Zhenhua Zhu, Yi Cai, Xiaoming Chen, Yu Wang, Huazhong Yang:
An Energy-Efficient Quantized and Regularized Training Framework For Processing-In-Memory Accelerators. ASP-DAC 2020: 325-330 - [c4]Zhenhua Zhu, Hanbo Sun, Kaizhong Qiu, Lixue Xia, Gokul Krishnan, Guohao Dai, Dimin Niu, Xiaoming Chen, Xiaobo Sharon Hu, Yu Cao, Yuan Xie, Yu Wang, Huazhong Yang:
MNSIM 2.0: A Behavior-Level Modeling Tool for Memristor-based Neuromorphic Computing Systems. ACM Great Lakes Symposium on VLSI 2020: 83-88 - 2019
- [c3]Zhenhua Zhu, Hanbo Sun, Yujun Lin, Guohao Dai, Lixue Xia, Song Han, Yu Wang, Huazhong Yang:
A Configurable Multi-Precision CNN Computing Framework Based on Single Bit RRAM. DAC 2019: 56 - 2018
- [c2]Jilan Lin, Lixue Xia, Zhenhua Zhu, Hanbo Sun, Yi Cai, Hui Gao, Ming Cheng, Xiaoming Chen, Yu Wang, Huazhong Yang:
Rescuing memristor-based computing with non-linear resistance levels. DATE 2018: 407-412 - [c1]Zhenhua Zhu, Jilan Lin, Ming Cheng, Lixue Xia, Hanbo Sun, Xiaoming Chen, Yu Wang, Huazhong Yang:
Mixed size crossbar based RRAM CNN accelerator with overlapped mapping method. ICCAD 2018: 69
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