Hanbo Sun

Publication Activity (10 Years)

Years Active: 2017-2024
Publications (10 Years): 26

Top Topics

Granger Causality

Approximate Nearest Neighbor Search

Top Venues

Publications

Shulin Zeng, Jun Liu, Guohao Dai, Xinhao Yang, Tianyu Fu, Hongyi Wang, Wenheng Ma, Hanbo Sun, Shiyao Li, Zixiao Huang, Yadong Dai, Jintao Li, Zehao Wang, Ruoyu Zhang, Kairui Wen, Xuefei Ning, Yu Wang
FlightLLM: Efficient Large Language Model Inference with a Complete Mapping Flow on FPGAs. CoRR (2024)
Shulin Zeng, Jun Liu, Guohao Dai, Xinhao Yang, Tianyu Fu, Hongyi Wang, Wenheng Ma, Hanbo Sun, Shiyao Li, Zixiao Huang, Yadong Dai, Jintao Li, Zehao Wang, Ruoyu Zhang, Kairui Wen, Xuefei Ning, Yu Wang
FlightLLM: Efficient Large Language Model Inference with a Complete Mapping Flow on FPGAs. FPGA (2024)
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)
Jian Gao, Hanbo Sun, Cheng Cao, Zheng Du
Human Transcription Quality Improvement. INTERSPEECH (2023)
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) (2023)
Hanbo Sun, Jian Gao, Xiaomin Wu, Anjie Fang, Cheng Cao, Zheng Du
HTEC: Human Transcription Error Correction. CoRR (2023)
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)
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) (2023)
Jian Gao, Hanbo Sun, Cheng Cao, Zheng Du
Human Transcription Quality Improvement. CoRR (2023)
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)
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)
Shulin Zeng, Guohao Dai, Hanbo Sun, Jun Liu, Shiyao Li, Guangjun Ge, Kai Zhong, Kaiyuan Guo, Yu Wang, Huazhong Yang
A Unified FPGA Virtualization Framework for General-Purpose Deep Neural Networks in the Cloud. ACM Trans. Reconfigurable Technol. Syst. 15 (3) (2022)
Shulin Zeng, Guohao Dai, Hanbo Sun, Jun Liu, Hongren Zheng, Yusong Wu, Fan Zhang, Xinhao Yang, Yi Cai, Yu Wang, Huazhong Yang
3M-AI: A Multi-task and Multi-core Virtualization Framework for Multi-FPGA AI Systems in the Cloud. FPGA (2021)
Kaizhong Qiu, Zhenhua Zhu, Yi Cai, Hanbo Sun, Yu Wang, Huanzhong Yang
MNSIM-TIME: Performance Modeling Framework for Training-In-Memory Architectures. AICAS (2021)
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)
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)
Shulin Zeng, Guohao Dai, Hanbo Sun, Kai Zhong, Guangjun Ge, Kaiyuan Guo, Yu Wang, Huazhong Yang
Enabling Efficient and Flexible FPGA Virtualization for Deep Learning in the Cloud. FCCM (2020)
Shulin Zeng, Hanbo Sun, Yu Xing, Xuefei Ning, Yi Shan, Xiaoming Chen, Yu Wang, Huazhong Yang
Black Box Search Space Profiling for Accelerator-Aware Neural Architecture Search. ASP-DAC (2020)
Ranran Huang, Hanbo Sun, Ji Liu, Lu Tian, Li Wang, Yi Shan, Yu Wang
Feature Variance Regularization: A Simple Way to Improve the Generalizability of Neural Networks. AAAI (2020)
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)
Shulin Zeng, Guohao Dai, Hanbo Sun, Kai Zhong, Guangjun Ge, Kaiyuan Guo, Yu Wang, Huazhong Yang
Enabling Efficient and Flexible FPGA Virtualization for Deep Learning in the Cloud. CoRR (2020)
Shulin Zeng, Guohao Dai, Kai Zhong, Hanbo Sun, Guangjun Ge, Kaiyuan Guo, Yu Wang, Huazhong Yang
Enable Efficient and Flexible FPGA Virtualization for Deep Learning in the Cloud. FPGA (2020)
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)
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)
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)
Hanbo Sun, Guocan Feng
基于改进的Porter Stemmer词干提取与核方法的垃圾邮件过滤算法 (Spam Filter Algorithm with Improved Porter Stemmer and Kernels Methods). 计算机科学 44 (Z6) (2017)