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Qingliang Li
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2020 – today
- 2024
- [j30]Pingping Liu, Zetong Liu, Yijun Lang, Shihao Liu, Qiuzhan Zhou, Qingliang Li:
Deep metric learning assisted by intra-variance in a semi-supervised view of learning. Eng. Appl. Artif. Intell. 131: 107885 (2024) - [j29]Jinlong Zhu, Qingliang Li, Changbo Gao, Yu Ge, Ke Xu:
Camera-aware re-identification feature for multi-target multi-camera tracking. Image Vis. Comput. 142: 104889 (2024) - [j28]Sunghwan Kim, Bo Yu, Qingliang Li, Evan E. Bolton:
PubChem synonym filtering process using crowdsourcing. J. Cheminformatics 16(1): 69 (2024) - [j27]Peng Zhao, Yushi Zhang, Dong Zhu, Qingliang Li, Zhensen Wu, Jinpeng Zhang, Zhiying Yin, Huaiyun Peng, Longxiang Linghu:
Estimating Scattering Coefficient in a Large and Complex Terrain through Multifactor Association. Remote. Sens. 16(4): 650 (2024) - [c7]Wenchao Li, Xianwang Feng, Sheng Liu, Hao Ding, Qingliang Li, Kaichuang Xue, Siwei Kou, Ming Wei:
Multi-source Remote Sensing Images Identification Fusion based on D-S Evidential Theory. ICCBD 2024: 573-577 - [i3]Feini Huang, Shijie Jiang, Lu Li, Yongkun Zhang, Ye Zhang, Ruqing Zhang, Qingliang Li, Danxi Li, Wei Shangguan, Yongjiu Dai:
Applications of Explainable artificial intelligence in Earth system science. CoRR abs/2406.11882 (2024) - [i2]Qingliang Li, Weidong Mei, Boyu Ning, Rui Zhang:
Minimizing Movement Delay for Movable Antennas via Trajectory Optimization. CoRR abs/2408.12813 (2024) - 2023
- [j26]Feini Huang, Wei Shangguan, Qingliang Li, Lu Li, Ye Zhang:
Beyond prediction: An integrated post-hoc approach to interpret complex model in hydrometeorology. Environ. Model. Softw. 167: 105762 (2023) - [j25]Sunghwan Kim, Jie Chen, Tiejun Cheng, Asta Gindulyte, Jia He, Siqian He, Qingliang Li, Benjamin A. Shoemaker, Paul A. Thiessen, Bo Yu, Leonid Zaslavsky, Jian Zhang, Evan E. Bolton:
PubChem 2023 update. Nucleic Acids Res. 51(D1): 1373-1380 (2023) - [j24]Pingping Liu, Xiaofeng Liu, Yifan Wang, Zetong Liu, Qiuzhan Zhou, Qingliang Li:
An Intra-Class Ranking Metric for Remote Sensing Image Retrieval. Remote. Sens. 15(16): 3943 (2023) - [c6]Wenchao Li, Sheng Liu, Hao Ding, Liang He, Zhenhua Chen, Qingliang Li, Kaichuang Xue:
A hyper-spectral Data Unsupervised Classification Method Combining Linear Projection and Gaussian Mixture Model. ICCIP 2023: 153-157 - [c5]Qingliang Li, Sunghwan Kim, Leonid Zaslavsky, Tiejun Cheng, Bo Yu, Evan E. Bolton:
Resource Description Framework (RDF) Modeling of Named Entity Co-occurrences Derived from Biomedical Literature in the PubChemRDF. SWAT4HCLS 2023: 32-41 - [i1]Pingping Liu, Zetong Liu, Yijun Lang, Qiuzhan Zhou, Qingliang Li:
Deep Metric Learning Assisted by Intra-variance in A Semi-supervised View of Learning. CoRR abs/2304.10941 (2023) - 2022
- [j23]Qingliang Li, Zhongyan Li, Wei Shangguan, Xuezhi Wang, Lu Li, Fanhua Yu:
Improving soil moisture prediction using a novel encoder-decoder model with residual learning. Comput. Electron. Agric. 195: 106816 (2022) - [j22]Jian Ding, Xiaoming Niu, Shuji Hao, Qingliang Li, Guangliang Ren:
A Novel Weighted LLR Algorithm for Non-Coherent OFDM-MFSK System in Ionospheric Scatter Channel. IEEE Commun. Lett. 26(6): 1383-1387 (2022) - [j21]Taoning Mao, Wei Shangguan, Qingliang Li, Lu Li, Ye Zhang, Feini Huang, Jianduo Li, Wei Liu, Ruqing Zhang:
A Spatial Downscaling Method for Remote Sensing Soil Moisture Based on Random Forest Considering Soil Moisture Memory and Mass Conservation. Remote. Sens. 14(16): 3858 (2022) - [j20]Bin Li, Qingliang Li, Yong Zeng, Yue Rong, Rui Zhang:
3D Trajectory Optimization for Energy-Efficient UAV Communication: A Control Design Perspective. IEEE Trans. Wirel. Commun. 21(6): 4579-4593 (2022) - 2021
- [j19]Huibowen Hao, Fanhua Yu, Qingliang Li:
Soil Temperature Prediction Using Convolutional Neural Network Based on Ensemble Empirical Mode Decomposition. IEEE Access 9: 4084-4096 (2021) - [j18]Chuang Liu, Qiucheng Sun, Weiyu Dai, Zeming Ren, Qingliang Li, Fanhua Yu:
A Method of Camera Calibration Based on Kriging Interpolation. IEEE Access 9: 153540-153547 (2021) - [j17]Leonid Zaslavsky, Tiejun Cheng, Asta Gindulyte, Siqian He, Sunghwan Kim, Qingliang Li, Paul A. Thiessen, Bo Yu, Evan Bolton:
Discovering and Summarizing Relationships Between Chemicals, Genes, Proteins, and Diseases in PubChem. Frontiers Res. Metrics Anal. 6: 689059 (2021) - [j16]Sunghwan Kim, Jie Chen, Tiejun Cheng, Asta Gindulyte, Jia He, Siqian He, Qingliang Li, Benjamin A. Shoemaker, Paul A. Thiessen, Bo Yu, Leonid Zaslavsky, Jian Zhang, Evan Bolton:
PubChem in 2021: new data content and improved web interfaces. Nucleic Acids Res. 49(Database-Issue): D1388-D1395 (2021) - [j15]Xuezhi Wang, Wenhui Li, Qingliang Li:
A New Embedded Estimation Model for Soil Temperature Prediction. Sci. Program. 2021: 5881018:1-5881018:16 (2021) - 2020
- [j14]Qingliang Li, Huibowen Hao, Yang Zhao, Qingtian Geng, Guangjie Liu, Yu Zhang, Fanhua Yu:
GANs-LSTM Model for Soil Temperature Estimation From Meteorological: A New Approach. IEEE Access 8: 59427-59443 (2020) - [j13]Qingliang Li, Yang Zhao, Fanhua Yu:
A Novel Multichannel Long Short-Term Memory Method With Time Series for Soil Temperature Modeling. IEEE Access 8: 182026-182043 (2020) - [j12]Dan Wang, Hongwei Zhao, Qingliang Li:
An image retrieval method of mammary cancer based on convolutional neural network. J. Intell. Fuzzy Syst. 38(1): 115-126 (2020) - [j11]Dan Wang, Hongwei Zhao, Qingliang Li:
Medical brain image classification based on multi-feature fusion of convolutional neural network. J. Intell. Fuzzy Syst. 38(1): 127-137 (2020) - [j10]Zhongqing Cao, Lixin Guo, Shifeng Kang, Xianhai Cheng, Qingliang Li, Leke Lin, Yusheng Zhang:
Characteristics and Applications of the Ground-Based X Band Low Elevation Angle Brightness Temperatures under Low Sea State Based on Measured Data. Remote. Sens. 12(11): 1736 (2020)
2010 – 2019
- 2019
- [j9]Sunghwan Kim, Jie Chen, Tiejun Cheng, Asta Gindulyte, Jia He, Siqian He, Qingliang Li, Benjamin A. Shoemaker, Paul A. Thiessen, Bo Yu, Leonid Zaslavsky, Jian Zhang, Evan Bolton:
PubChem 2019 update: improved access to chemical data. Nucleic Acids Res. 47(Database-Issue): D1102-D1109 (2019) - [c4]Vinh Nguyen, Hong Yung Yip, Harsh Thakkar, Qingliang Li, Evan Bolton, Olivier Bodenreider:
Singleton Property Graph: Adding A Semantic Web Abstraction Layer to Graph Databases. BlockSW/CKG@ISWC 2019 - 2018
- [j8]Liyuan Zhang, Jiashi Zhao, Huamin Yang, Zhengang Jiang, Qingliang Li:
Unsupervised Scoliosis Diagnosis via a Joint Recognition Method with Multifeature Descriptors and Centroids Extraction. Comput. Math. Methods Medicine 2018: 6213264:1-6213264:14 (2018) - [c3]Di Gao, Qingliang Li, Shuhua Yang, Liwen Ma, Yingjie He, Zhiqiang Cao:
A NB-IoT Passthrough Module for Big Data. SPAC 2018: 396-400 - 2017
- [c2]Qingliang Li, Weili Shi, Huamin Yang, Huimao Zhang, Guoxin Li, Tao Chen, Kensaku Mori, Zhengang Jiang:
Computer-aided diagnosis of mammographic masses using geometric verification-based image retrieval. Medical Imaging: Computer-Aided Diagnosis 2017: 101342W - [c1]Liyuan Zhang, Huamin Yang, Weili Shi, Yu Miao, Qingliang Li, Fei He, Wei He, Yanfang Li, Huimao Zhang, Kensaku Mori, Zhengang Jiang:
An improved method for pancreas segmentation using SLIC and interactive region merging. Medical Imaging: Computer-Aided Diagnosis 2017: 101343H - 2016
- [j7]Qiuzhan Zhou, Cheng Wang, Pingping Liu, Qingliang Li, Yeran Wang, Shuozhang Chen:
Distribution Entropy Boosted VLAD for Image Retrieval. Entropy 18(8): 311 (2016) - 2014
- [j6]Hongwei Zhao, Qingliang Li, Pingping Liu:
Hierarchical Geometry Verification via Maximum Entropy Saliency in Image Retrieval. Entropy 16(7): 3848-3865 (2014) - 2011
- [j5]Tiejun Cheng, Qingliang Li, Yanli Wang, Stephen H. Bryant:
Binary Classification of Aqueous Solubility Using Support Vector Machines with Reduction and Recombination Feature Selection. J. Chem. Inf. Model. 51(2): 229-236 (2011) - [j4]Tiejun Cheng, Qingliang Li, Yanli Wang, Stephen H. Bryant:
Identifying Compound-Target Associations by Combining Bioactivity Profile Similarity Search and Public Databases Mining. J. Chem. Inf. Model. 51(9): 2440-2448 (2011)
2000 – 2009
- 2009
- [j3]Qingliang Li, Yanli Wang, Stephen H. Bryant:
A novel method for mining highly imbalanced high-throughput screening data in PubChem. Bioinform. 25(24): 3310-3316 (2009) - 2007
- [j2]Qingliang Li, Luhua Lai:
Prediction of potential drug targets based on simple sequence properties. BMC Bioinform. 8 (2007) - [j1]Qingliang Li, Andreas Bender, Jianfeng Pei, Luhua Lai:
A Large Descriptor Set and a Probabilistic Kernel-Based Classifier Significantly Improve Druglikeness Classification. J. Chem. Inf. Model. 47(5): 1776-1786 (2007)
Coauthor Index
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