Hengliang Guo

According to our database, Hengliang Guo authored at least 19 papers between 2020 and 2025.

Collaborative distances:

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

2025

VBATS: an adaptive strategy for grouped GEMM on GPUs.

Jiandong Shang, Zhuxin Wen, Haobo Hua, Hengliang Guo, Gang Wu, Wenlong Fan, Yang Guo, Guangsheng Qin

J. Supercomput., May, 2025

Optimizing 2D convolution for DCUs.

Wenlong Fan, Haobo Hua, Jiandong Shang, Zhuxin Wen, Hengliang Guo, Litao Zhang

CCF Trans. High Perform. Comput., April, 2025

CEGT: Smart contract vulnerability detection via Connectivity-Enhanced GCN-Transformer.

Jiandong Shang, Jiaru Li, Yizhe Sui, Hengliang Guo, Xu Gao, Dujuan Zhang, Yang Guo, Gang Wu

J. Syst. Softw., 2025

Drug-Target Affinity Prediction Based on Topological Enhanced Graph Neural Networks.

Hengliang Guo, Congxiang Zhang, Jiandong Shang, Dujuan Zhang, Yang Guo, Kang Gao, Kecheng Yang, Xu Gao, Dezhong Yao, Wanting Chen, Mengfan Yan, Gang Wu

J. Chem. Inf. Model., 2025

GeoProspect: A domain-specific geological large language model with enhanced continual learning.

Gang Wu, Haitao Wang, Kunyan Zhang, Shengguang Zhu, Jian Cui, Mengzhe Fan, Hailiang Wang, Hengliang Guo, Gubin Zhang, Dujuan Zhang, Haitao Wei, Shan Zhao

Neurocomputing, 2025

2024

Construction of Earth Observation Knowledge Hub Based on Knowledge Graph.

Kuangsheng Cai, Zugang Chen, Jin Li, Shaohua Wang, Guoqing Li, Jing Li, Hengliang Guo, Feng Chen, Liping Zhu

Trans. GIS, November, 2024

Optimizing sparse general matrix-matrix multiplication for DCUs.

Hengliang Guo, Haolei Wang, Wanting Chen, Congxiang Zhang, Yubo Han, Shengguang Zhu, Dujuan Zhang, Yang Guo, Jiandong Shang, Tao Wan, Qingyang Li, Gang Wu

J. Supercomput., September, 2024

An Evaluative Baseline for Sentence-Level Semantic Division.

Kuangsheng Cai, Zugang Chen, Hengliang Guo, Shaohua Wang, Guoqing Li, Jing Li, Feng Chen, Hang Feng

Mach. Learn. Knowl. Extr., March, 2024

OpenMP offloading data transfer optimization for DCUs.

Hengliang Guo, Long Zhang, Yi Zhang, Jianan Li, Xiaoyue Xu, Lu Liu, Kuangsheng Cai, Dan Wu, Shuxin Yang, Lingbo Kong, Xu Gao

J. Supercomput., January, 2024

Learning SAR-Optical Cross Modal Features for Land Cover Classification.

Yujun Quan, Rongrong Zhang, Jian Li, Song Ji, Hengliang Guo, Anzhu Yu

Remote. Sens., January, 2024

2023

Fitting profile water depth to improve the accuracy of lake depth inversion without bathymetric data based on ICESat-2 and Sentinel-2 data.

Hong Yang, Baojin Qiao, Shuowen Huang, Yulu Fu, Hengliang Guo

Int. J. Appl. Earth Obs. Geoinformation, May, 2023

Continuous Intra-Annual Changes of Lake Water Level and Water Storage from 2000 to 2018 on the Tibetan Plateau.

Hengliang Guo, Bingkang Nie, Yonghao Yuan, Hong Yang, Wenhao Dai, Xiaolei Wang, Baojin Qiao

Remote. Sens., February, 2023

Large-Scale Land Subsidence Monitoring and Prediction Based on SBAS-InSAR Technology with Time-Series Sentinel-1A Satellite Data.

Hengliang Guo, Yonghao Yuan, Jinyang Wang, Jian Cui, Dujuan Zhang, Rongrong Zhang, Qiaozhuoran Cao, Jin Li, Wenhao Dai, Haoming Bao, Baojin Qiao, Shan Zhao

Remote. Sens., 2023

2022

Bathymetric Inversion and Mapping of Two Shallow Lakes Using Sentinel-2 Imagery and Bathymetry Data in the Central Tibetan Plateau.

Hong Yang, Jianting Ju, Hengliang Guo, Baojin Qiao, Bingkang Nie, Liping Zhu

IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens., 2022

CUDA-based parallelization of time-weighted dynamic time warping algorithm for time series analysis of remote sensing data.

Hengliang Guo, Bowen Xu, Hong Yang, Bingyang Li, Yuanyuan Yue, Shan Zhao

Comput. Geosci., 2022

Bathymetric mapping and estimation of water storage in a shallow lake using a remote sensing inversion method based on machine learning.

Hong Yang, Hengliang Guo, Wenhao Dai, Bingkang Nie, Baojin Qiao, Liping Zhu

Int. J. Digit. Earth, 2022

2021

Robust Deep Neural Networks for Road Extraction From Remote Sensing Images.

Panle Li, Xiaohui He, Mengjia Qiao, Xijie Cheng, Zhiqiang Li, Haotian Luo, Dingjun Song, Daidong Li, Shaokai Hu, Runchuan Li, Pu Han, Fangbing Qiu, Hengliang Guo, Jiandong Shang, Zhihui Tian

IEEE Trans. Geosci. Remote. Sens., 2021

Exploiting Hierarchical Features for Crop Yield Prediction Based on 3-D Convolutional Neural Networks and Multikernel Gaussian Process.

Mengjia Qiao, Xiaohui He, Xijie Cheng, Panle Li, Haotian Luo, Zhihui Tian, Hengliang Guo

IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens., 2021

2020

Research on a Novel Combination System on the Basis of Deep Learning and Swarm Intelligence Optimization Algorithm for Wind Speed Forecasting.

Xiaohui He, Ying Nie, Hengliang Guo, Jianzhou Wang

IEEE Access, 2020