PCE algorithm for PAPR reduction in OFDM-ROF system. - Jianping Wang 005; Bosheng Liu; Xianwei Zhou (IEEE Trans. Consumer Electron., 2009)

Comparator and half adder design using complementary resistive switches crossbar. - Bosheng Liu; Zhiqiang You; Xiangrao Li; Jishun Kuang; Zheng Qin (IEICE Electron. Express, 2013)

A signal degradation reduction method for memristor ratioed logic (MRL) gates. - Bosheng Liu; Ying Wang 001; Zhiqiang You; Yinhe Han 001; Xiaowei Li 001 (IEICE Electron. Express, 2015)

C-brain: a deep learning accelerator that tames the diversity of CNNs through adaptive data-level parallelization. - Lili Song; Ying Wang 001; Yinhe Han 001; Xin Zhao; Bosheng Liu; Xiaowei Li 001 (DAC, 2016)

Simulate-the-hardware: training accurate binarized neural networks for low-precision neural accelerators. - Jiajun Li; Ying Wang 001; Bosheng Liu; Yinhe Han 001; Xiaowei Li 001 (ASP-DAC, 2019)

Addressing the issue of processing element under-utilization in general-purpose systolic deep learning accelerators. - Bosheng Liu; Xiaoming Chen 003; Ying Wang 001; Yinhe Han 001; Jiajun Li; Haobo Xu; Xiaowei Li 001 (ASP-DAC, 2019)

Merging Everything (ME): A Unified FPGA Architecture Based on Logic-in-Memory Techniques. - Xiaoming Chen 003; Longxiang Yin; Bosheng Liu; Yinhe Han 001 (DAC, 2019)

ACG-Engine: An Inference Accelerator for Content Generative Neural Networks. - Haobo Xu; Ying Wang 001; Yujie Wang; Jiajun Li; Bosheng Liu; Yinhe Han 001 (ICCAD, 2019)

Accelerating DNN-based 3D point cloud processing for mobile computing. - Bosheng Liu; Xiaoming Chen 003; Yinhe Han 001; Jiajun Li; Haobo Xu; Xiaowei Li 001 (Sci. China Inf. Sci., 2019)

Search-free Accelerator for Sparse Convolutional Neural Networks. - Bosheng Liu; Xiaoming Chen 003; Yinhe Han 001; Ying Wang 001; Jiajun Li; Haobo Xu; Xiaowei Li 001 (ASP-DAC, 2020)

Swallow: A Versatile Accelerator for Sparse Neural Networks. - Bosheng Liu; Xiaoming Chen 003; Yinhe Han 001; Haobo Xu (IEEE Trans. Comput. Aided Des. Integr. Circuits Syst., 2020)

F3D: Accelerating 3D Convolutional Neural Networks in Frequency Space Using ReRAM. - Bosheng Liu; Zhuoshen Jiang; Jigang Wu; Xiaoming Chen 003; Yinhe Han 001; Peng Liu 045 (DAC, 2021)

Fault Modeling and Efficient Testing of Memristor-Based Memory. - Peng Liu 045; Zhiqiang You; Jigang Wu; Bosheng Liu; Yinhe Han 001; Krishnendu Chakrabarty (IEEE Trans. Circuits Syst. I Regul. Pap., 2021)

Search-Free Inference Acceleration for Sparse Convolutional Neural Networks. - Bosheng Liu; Xiaoming Chen 003; Yinhe Han 001; Jigang Wu; Liang Chang 003; Peng Liu 045; Haobo Xu (IEEE Trans. Comput. Aided Des. Integr. Circuits Syst., 2022)

Accelerating Convolutional Neural Networks in Frequency Domain via Kernel-Sharing Approach. - Bosheng Liu; Hongyi Liang; Jigang Wu; Xiaoming Chen 003; Peng Liu 045; Yinhe Han 001 (ASP-DAC, 2023)

Accelerating event-based deep neural networks via flexible data encoding. - Yuanli Zhong; Yongqi Xu; Bosheng Liu; Yibing Tang; Jigang Wu (IEICE Electron. Express, 2023)

Two-Level Scheduling Algorithms for Deep Neural Network Inference in Vehicular Networks. - Yalan Wu; Jigang Wu; Mianyang Yao; Bosheng Liu; Long Chen 006; Siew Kei Lam (IEEE Trans. Intell. Transp. Syst., 2023)

Frequency-Domain Inference Acceleration for Convolutional Neural Networks Using ReRAMs. - Bosheng Liu; Zhuoshen Jiang; Yalan Wu; Jigang Wu; Xiaoming Chen 003; Peng Liu 045; Qingguo Zhou; Yinhe Han 001 (IEEE Trans. Parallel Distributed Syst., 2023)

Quantization-aware Optimization Approach for CNNs Inference on CPUs. - Jiasong Chen; Zeming Xie; Weipeng Liang; Bosheng Liu; Xin Zheng; Jigang Wu; Xiaoming Xiong (ASPDAC, 2024)

Accelerating Frequency-domain Convolutional Neural Networks Inference using FPGAs. - Yi Chen; Bosheng Liu; Yongqi Xu; Jigang Wu; Xiaoming Chen 003; Peng Liu 045; Qingguo Zhou; Yinhe Han 001 (ISCAS, 2024)

A Complementary Resistive Switch-Based Balanced Ternary Logic. - Zhijian Peng; Peng Liu 045; Lian Yao; Zhiqiang You; Bosheng Liu; Yang Yi; Jigang Wu (ITC-Asia, 2024)

BitQ: Tailoring Block Floating Point Precision for Improved DNN Efficiency on Resource-Constrained Devices. - Yongqi Xu; Yujian Lee; Gao Yi; Bosheng Liu; Yucong Chen; Peng Liu 045; Jigang Wu; Xiaoming Chen 003; Yinhe Han 001 (CoRR, 2024)

Combining residual structure and edge loss for face image restoration with generative adversarial networks. - Jia Zhao 001; Bosheng Liu; Runxiu Wu; Longzhe Han; Ming Chen (Signal Image Video Process., 2024)

Share-Aware Joint Model Deployment and Task Offloading for Multi-Task Inference. - Yalan Wu; Jigang Wu; Long Chen 006; Bosheng Liu; Mianyang Yao; Siew Kei Lam (IEEE Trans. Intell. Transp. Syst., 2024)

Improving Efficiency in Large Language Models via Extendable Block Floating Point Representation. - Dongyang Li; Zeyang Li; Bosheng Liu; Jigang Wu (ACL (Findings), 2025)