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2020 – today
- 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)- [c18]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: 223-234 - [i4]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 abs/2401.03868 (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 - [c15]Jian Gao, Hanbo Sun, Cheng Cao, Zheng Du:
Human Transcription Quality Improvement. INTERSPEECH 2023: 3053-3057 - [i3]Hanbo Sun, Jian Gao, Xiaomin Wu, Anjie Fang, Cheng Cao, Zheng Du:
HTEC: Human Transcription Error Correction. CoRR abs/2309.10089 (2023) - [i2]Jian Gao, Hanbo Sun, Cheng Cao, Zheng Du:
Human Transcription Quality Improvement. CoRR abs/2309.14372 (2023) - 2022
- [j2]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): 24:1-24:31 (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 - [c10]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: 228 - 2020
- [c9]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: 4190-4197 - [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 - [c7]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: 518-523 - [c6]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: 102-110 - [c5]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: 317 - [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 - [i1]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 abs/2003.12101 (2020)
2010 – 2019
- 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 - 2017
- [j1]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): 61-67 (2017)
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