Xinzhe Liu

According to our database, Xinzhe Liu authored at least 18 papers between 2008 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2024

Benchmarking SLAM Algorithms in the Cloud: The SLAM Hive System.

Xinzhe Liu, Yuanyuan Yang, Bowen Xu, Sören Schwertfeger

CoRR, 2024

Poster: Scalable and Interpretable Multilayer Overlay Network Checking via Ensemble Verification.

Xinzhe Liu, Yahui Li, Han Zhang, Xia Yin, Xingang Shi, Zhiliang Wang, Gang Ren, Jiangyuan Yao

Proceedings of the ACM SIGCOMM 2024 Conference: Posters and Demos, 2024

2023

HRFF: Hierarchical and Recursive Floorplanning Framework for NoC-Based Scalable Multidie FPGAs.

Jianwen Luo, Xinzhe Liu, Fupeng Chen, Yajun Ha

IEEE Trans. Circuits Syst. I Regul. Pap., November, 2023

An Energy-Efficient Stream-Based FPGA Implementation of Feature Extraction Algorithm for LiDAR Point Clouds With Effective Local-Search.

Hao Sun, Qi Deng, Xinzhe Liu, Yuhao Shu, Yajun Ha

IEEE Trans. Circuits Syst. I Regul. Pap., January, 2023

Multifeature-Based Outdoor Fingerprint Localization With Accuracy Enhancement for Cellular Network.

Shuaiheng Huai, Xinzhe Liu, Yi Jiang, Yanpeng Dai, Xiaoye Wang, Qing Hu

IEEE Trans. Instrum. Meas., 2023

RPS-KNN: An Ultra-Fast FPGA Accelerator of Range-Projection-Structure K-Nearest-Neighbor Search for LiDAR Odometry in Smart Vehicles.

Jianzhong Xiao, Hao Sun, Qi Deng, Xinzhe Liu, Hongtu Zhang, Chengzhang He, Yuhao Shu, Yajun Ha

Proceedings of the IEEE International Symposium on Circuits and Systems, 2023

Data Partition Optimization for High Energy Efficiency by Decoupling Local Dependence in Holographic Video Decoder.

Xinzhe Liu, Jianwen Luo, David Blinder, Fupeng Chen, Heng Yu, Peter Schelkens, Francky Catthoor, Yajun Ha

Proceedings of the 30th IEEE International Conference on Electronics, Circuits and Systems, 2023

Fast FPGA Accelerator of Graph Cut Algorithm with Out-of-order Parallel Execution in Folding Grid Architecture.

Guangyao Yan, Xinzhe Liu, Hui Wang, Yajun Ha

Proceedings of the 60th ACM/IEEE Design Automation Conference, 2023

2022

Ultra-Fast FPGA Implementation of Graph Cut Algorithm With Ripple Push and Early Termination.

Guangyao Yan, Xinzhe Liu, Fupeng Chen, Hui Wang, Yajun Ha

IEEE Trans. Circuits Syst. I Regul. Pap., 2022

Hierarchical and Recursive Floorplanning Algorithm for NoC-Bascd Scalable Multi-Die FPGAs.

Jianwen Luo, Xinzhe Liu, Fupeng Chen, Yajun Ha

Proceedings of the IEEE Asia Pacific Conference on Circuit and Systems, 2022

2021

CLIF: Cross-Layer Information Fusion for Stereo Matching and its Hardware Implementation.

Fupeng Chen, Xinzhe Liu, Heng Yu, Yajun Ha

Proceedings of the IEEE International Symposium on Circuits and Systems, 2021

Bitwidth-Optimized Energy-Efficient FFT Design via Scaling Information Propagation.

Xinzhe Liu, Fupeng Chen, Raees Kizhakkumkara Muhamad, David Blinder, Dessislava Nikolova, Peter Schelkens, Francky Catthoor, Yajun Ha

Proceedings of the 58th ACM/IEEE Design Automation Conference, 2021

TAIT: One-Shot Full-Integer Lightweight DNN Quantization via Tunable Activation Imbalance Transfer.

Weixiong Jiang, Heng Yu, Xinzhe Liu, Hao Sun, Rui Li, Yajun Ha

Proceedings of the 58th ACM/IEEE Design Automation Conference, 2021

2020

Efficient FPGA Implementation of K-Nearest-Neighbor Search Algorithm for 3D LIDAR Localization and Mapping in Smart Vehicles.

Hao Sun, Xinzhe Liu, Qi Deng, Weixiong Jiang, Shaobo Luo, Yajun Ha

IEEE Trans. Circuits Syst. II Express Briefs, 2020

2019

Area Efficient Box Filter Acceleration by Parallelizing with Optimized Adder Tree.

Xinzhe Liu, Fupeng Chen, Yajun Ha

Proceedings of the 2019 IEEE Computer Society Annual Symposium on VLSI, 2019

Energy Efficiency Optimization of FPGA-based CNN Accelerators with Full Data Reuse and VFS.

Weixiong Jiang, Heng Yu, Xinzhe Liu, Yajun Ha

Proceedings of the 26th IEEE International Conference on Electronics, Circuits and Systems, 2019

2008

Empirical Analysis of Optimal Hidden Neurons in Neural Network Modeling for Stock Prediction.

Jinchuan Ke, Xinzhe Liu

Proceedings of the PACIIA 2008, 2008

Theoretical and Empirical Analysis of the Learning Rate and Momentum Factor in Neural Network Modeling for Stock Prediction.

Jinchuan Ke, Xinzhe Liu, Guan Wang

Proceedings of the Advances in Computation and Intelligence, Third International Symposium, 2008