Bosheng Liu - RankMe

25 papers A* 3A 1B 1C 1Journal 13Unranked 6

Year	Rank	Type	Title / Venue / Authors
2025	—	`conf`	Improving Efficiency in Large Language Models via Extendable Block Floating Point Representation. ACL (Findings) Dongyang Li, Zeyang Li, Bosheng Liu, Jigang Wu
2024	—	`conf`	A Complementary Resistive Switch-Based Balanced Ternary Logic. ITC-Asia Zhijian Peng, Peng Liu, Lian Yao, Zhiqiang You, Bosheng Liu, Yang Yi, Jigang Wu
2024	C	`conf`	Accelerating Frequency-domain Convolutional Neural Networks Inference using FPGAs. ISCAS Yi Chen, Bosheng Liu, Yongqi Xu, Jigang Wu, Xiaoming Chen, Peng Liu, Qingguo Zhou, Yinhe Han
2024	J	`jnl`	BitQ: Tailoring Block Floating Point Precision for Improved DNN Efficiency on Resource-Constrained Devices. CoRR Yongqi Xu, Yujian Lee, Gao Yi, Bosheng Liu, Yucong Chen, Peng Liu, Jigang Wu, Xiaoming Chen, Yinhe Han
2024	J	`jnl`	Combining residual structure and edge loss for face image restoration with generative adversarial networks. Signal Image Video Process. Jia Zhao, Bosheng Liu, RunXiu Wu, Longzhe Han, Ming Chen
2024	B	`conf`	Quantization-aware Optimization Approach for CNNs Inference on CPUs. ASPDAC Jiasong Chen, Zeming Xie, Weipeng Liang, Bosheng Liu, Xin Zheng, Jigang Wu, Xiaoming Xiong
2024	J	`jnl`	Share-Aware Joint Model Deployment and Task Offloading for Multi-Task Inference. IEEE Trans. Intell. Transp. Syst. Yalan Wu, Jigang Wu, Long Chen, Bosheng Liu, Mianyang Yao, Siew Kei Lam
2023	—	`conf`	Accelerating Convolutional Neural Networks in Frequency Domain via Kernel-Sharing Approach. ASP-DAC Bosheng Liu, Hongyi Liang, Jigang Wu, Xiaoming Chen, Peng Liu, Yinhe Han
2023	J	`jnl`	Accelerating event-based deep neural networks via flexible data encoding. IEICE Electron. Express Yuanli Zhong, Yongqi Xu, Bosheng Liu, Yibing Tang, Jigang Wu
2023	J	`jnl`	Frequency-Domain Inference Acceleration for Convolutional Neural Networks Using ReRAMs. IEEE Trans. Parallel Distributed Syst. Bosheng Liu, Zhuoshen Jiang, Yalan Wu, Jigang Wu, Xiaoming Chen, Peng Liu, Qingguo Zhou, Yinhe Han
2023	J	`jnl`	Two-Level Scheduling Algorithms for Deep Neural Network Inference in Vehicular Networks. IEEE Trans. Intell. Transp. Syst. Yalan Wu, Jigang Wu, Mianyang Yao, Bosheng Liu, Long Chen, Siew Kei Lam
2022	J	`jnl`	Search-Free Inference Acceleration for Sparse Convolutional Neural Networks. IEEE Trans. Comput. Aided Des. Integr. Circuits Syst. Bosheng Liu, Xiaoming Chen, Yinhe Han, Jigang Wu, Liang Chang, Peng Liu, Haobo Xu
2021	A*	`conf`	F3D: Accelerating 3D Convolutional Neural Networks in Frequency Space Using ReRAM. DAC Bosheng Liu, Zhuoshen Jiang, Jigang Wu, Xiaoming Chen, Yinhe Han, Peng Liu
2021	J	`jnl`	Fault Modeling and Efficient Testing of Memristor-Based Memory. IEEE Trans. Circuits Syst. I Regul. Pap. Peng Liu, Zhiqiang You, Jigang Wu, Bosheng Liu, Yinhe Han, Krishnendu Chakrabarty
2020	—	`conf`	Search-free Accelerator for Sparse Convolutional Neural Networks. ASP-DAC Bosheng Liu, Xiaoming Chen, Yinhe Han, Ying Wang, Jiajun Li, Haobo Xu, Xiaowei Li
2020	J	`jnl`	Swallow: A Versatile Accelerator for Sparse Neural Networks. IEEE Trans. Comput. Aided Des. Integr. Circuits Syst. Bosheng Liu, Xiaoming Chen, Yinhe Han, Haobo Xu
2019	A	`conf`	ACG-Engine: An Inference Accelerator for Content Generative Neural Networks. ICCAD Haobo Xu, Ying Wang, Yujie Wang, Jiajun Li, Bosheng Liu, Yinhe Han
2019	J	`jnl`	Accelerating DNN-based 3D point cloud processing for mobile computing. Sci. China Inf. Sci. Bosheng Liu, Xiaoming Chen, Yinhe Han, Jiajun Li, Haobo Xu, Xiaowei Li
2019	—	`conf`	Addressing the issue of processing element under-utilization in general-purpose systolic deep learning accelerators. ASP-DAC Bosheng Liu, Xiaoming Chen, Ying Wang, Yinhe Han, Jiajun Li, Haobo Xu, Xiaowei Li
2019	A*	`conf`	Merging Everything (ME): A Unified FPGA Architecture Based on Logic-in-Memory Techniques. DAC Xiaoming Chen, Longxiang Yin, Bosheng Liu, Yinhe Han
2019	—	`conf`	Simulate-the-hardware: training accurate binarized neural networks for low-precision neural accelerators. ASP-DAC Jiajun Li, Ying Wang, Bosheng Liu, Yinhe Han, Xiaowei Li
2016	A*	`conf`	C-brain: a deep learning accelerator that tames the diversity of CNNs through adaptive data-level parallelization. DAC Lili Song, Ying Wang, Yinhe Han, Xin Zhao, Bosheng Liu, Xiaowei Li
2015	J	`jnl`	A signal degradation reduction method for memristor ratioed logic (MRL) gates. IEICE Electron. Express Bosheng Liu, Ying Wang, Zhiqiang You, Yinhe Han, Xiaowei Li
2013	J	`jnl`	Comparator and half adder design using complementary resistive switches crossbar. IEICE Electron. Express Bosheng Liu, Zhiqiang You, Xiangrao Li, Jishun Kuang, Zheng Qin
2009	J	`jnl`	PCE algorithm for PAPR reduction in OFDM-ROF system. IEEE Trans. Consumer Electron. Jianping Wang, Bosheng Liu, Xianwei Zhou