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). - Hanbo Sun; Guocan Feng (计算机科学, 2017)

Rescuing memristor-based computing with non-linear resistance levels. - Jilan Lin; Lixue Xia; Zhenhua Zhu; Hanbo Sun; Yi Cai 003; Hui Gao; Ming Cheng; Xiaoming Chen 003; Yu Wang 002; Huazhong Yang (DATE, 2018)

Mixed size crossbar based RRAM CNN accelerator with overlapped mapping method. - Zhenhua Zhu; Jilan Lin; Ming Cheng; Lixue Xia; Hanbo Sun; Xiaoming Chen 003; Yu Wang 002; Huazhong Yang (ICCAD, 2018)

A Configurable Multi-Precision CNN Computing Framework Based on Single Bit RRAM. - Zhenhua Zhu; Hanbo Sun; Yujun Lin 001; Guohao Dai; Lixue Xia; Song Han 003; Yu Wang 002; Huazhong Yang (DAC, 2019)

Feature Variance Regularization: A Simple Way to Improve the Generalizability of Neural Networks. - Ranran Huang 001; Hanbo Sun; Ji Liu; Lu Tian; Li Wang; Yi Shan; Yu Wang 002 (AAAI, 2020)

An Energy-Efficient Quantized and Regularized Training Framework For Processing-In-Memory Accelerators. - Hanbo Sun; Zhenhua Zhu; Yi Cai 003; Xiaoming Chen 003; Yu Wang 002; Huazhong Yang (ASP-DAC, 2020)

Black Box Search Space Profiling for Accelerator-Aware Neural Architecture Search. - Shulin Zeng; Hanbo Sun; Yu Xing; Xuefei Ning; Yi Shan; Xiaoming Chen 003; Yu Wang 002; Huazhong Yang (ASP-DAC, 2020)

Enabling Efficient and Flexible FPGA Virtualization for Deep Learning in the Cloud. - Shulin Zeng; Guohao Dai; Hanbo Sun; Kai Zhong; Guangjun Ge; Kaiyuan Guo; Yu Wang 002; Huazhong Yang (FCCM, 2020)

Enable Efficient and Flexible FPGA Virtualization for Deep Learning in the Cloud. - Shulin Zeng; Guohao Dai; Kai Zhong; Hanbo Sun; Guangjun Ge; Kaiyuan Guo; Yu Wang 002; Huazhong Yang (FPGA, 2020)

MNSIM 2.0: A Behavior-Level Modeling Tool for Memristor-based Neuromorphic Computing Systems. - Zhenhua Zhu; Hanbo Sun; Kaizhong Qiu; Lixue Xia; Gokul Krishnan; Guohao Dai; Dimin Niu; Xiaoming Chen 003; Xiaobo Sharon Hu; Yu Cao 001; Yuan Xie 001; Yu Wang 002; et al. (ACM Great Lakes Symposium on VLSI, 2020)

MNSIM-TIME: Performance Modeling Framework for Training-In-Memory Architectures. - Kaizhong Qiu; Zhenhua Zhu; Yi Cai 003; Hanbo Sun; Yu Wang 002; Huanzhong Yang (AICAS, 2021)

Reliability-Aware Training and Performance Modeling for Processing-In-Memory Systems. - Hanbo Sun; Zhenhua Zhu; Yi Cai 003; Shulin Zeng; Kaizhong Qiu; Yu Wang 002; Huazhong Yang (ASP-DAC, 2021)

3M-AI: A Multi-task and Multi-core Virtualization Framework for Multi-FPGA AI Systems in the Cloud. - Shulin Zeng; Guohao Dai; Hanbo Sun; Jun Liu 071; Hongren Zheng; Yusong Wu; Fan Zhang; Xinhao Yang; Yi Cai 003; Yu Wang 002; Huazhong Yang (FPGA, 2021)

Gibbon: Efficient Co-Exploration of NN Model and Processing-In-Memory Architecture. - Hanbo Sun; Chenyu Wang; Zhenhua Zhu; Xuefei Ning; Guohao Dai; Huazhong Yang; Yu Wang 002 (DATE, 2022)

Optimizing Graph-based Approximate Nearest Neighbor Search: Stronger and Smarter. - Jun Liu 071; Zhenhua Zhu; Jingbo Hu; Hanbo Sun; Li Liu; Lingzhi Liu; Guohao Dai; Huazhong Yang; Yu Wang 002 (MDM, 2022)

A Unified FPGA Virtualization Framework for General-Purpose Deep Neural Networks in the Cloud. - Shulin Zeng; Guohao Dai; Hanbo Sun; Jun Liu 071; Shiyao Li; Guangjun Ge; Kai Zhong; Kaiyuan Guo; Yu Wang 002; Huazhong Yang (ACM Trans. Reconfigurable Technol. Syst., 2022)

PIM-HLS: An Automatic Hardware Generation Tool for Heterogeneous Processing-In-Memory-based Neural Network Accelerators. - Yu Zhu; Zhenhua Zhu; Guohao Dai; Fengbin Tu; Hanbo Sun; Kwang-Ting Cheng; Huazhong Yang; Yu Wang 002 (DAC, 2023)

Minimizing Communication Conflicts in Network-On-Chip Based Processing-In-Memory Architecture. - Hanbo Sun; Tongxin Xie; Zhenhua Zhu; Guohao Dai; Huazhong Yang; Yu Wang 002 (DATE, 2023)

Human Transcription Quality Improvement. - Jian Gao; Hanbo Sun; Cheng Cao; Zheng Du (INTERSPEECH, 2023)

HTEC: Human Transcription Error Correction. - Hanbo Sun; Jian Gao; Xiaomin Wu; Anjie Fang; Cheng Cao; Zheng Du (CoRR, 2023)

Gibbon: An Efficient Co-Exploration Framework of NN Model and Processing-In-Memory Architecture. - Hanbo Sun; Zhenhua Zhu; Chenyu Wang; Xuefei Ning; Guohao Dai; Huazhong Yang; Yu Wang 002 (IEEE Trans. Comput. Aided Des. Integr. Circuits Syst., 2023)

MNSIM 2.0: A Behavior-Level Modeling Tool for Processing-In-Memory Architectures. - Zhenhua Zhu; Hanbo Sun; Tongxin Xie; Yu Zhu; Guohao Dai; Lixue Xia; Dimin Niu; Xiaoming Chen 003; Xiaobo Sharon Hu; Yu Cao 001; Yuan Xie 001; Huazhong Yang; et al. (IEEE Trans. Comput. Aided Des. Integr. Circuits Syst., 2023)

FlightLLM: Efficient Large Language Model Inference with a Complete Mapping Flow on FPGAs. - Shulin Zeng; Jun Liu 071; Guohao Dai; Xinhao Yang; Tianyu Fu 004; Hongyi Wang; Wenheng Ma; Hanbo Sun; Shiyao Li; Zixiao Huang; Yadong Dai; Jintao Li; et al. (FPGA, 2024)

Toward High-Accuracy and Real-Time Two-Stage Small Object Detection on FPGA. - Shiyao Li; Zhenhua Zhu; Hanbo Sun; Xuefei Ning; Guohao Dai; Yiming Hu; Huazhong Yang; Yu Wang 002 (IEEE Trans. Circuits Syst. Video Technol., 2024)