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Qiankun Wang
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2020 – today
- 2024
- [j13]Jiani Shen, Qiankun Wang, Chao Wang, Yijun He:
Discriminating Internal Multiparameter Difference From Shape Dissimilarity Between Voltage Curves of Lithium-Ion Batteries. IEEE Trans. Ind. Informatics 20(2): 1832-1841 (2024) - [c6]Xingchen Li, Zhe Zhou, Qilin Zheng, Guangyu Sun, Qiankun Wang, Chenhao Xue:
A Software-Hardware Co-design Solution for 3D Inner Structure Reconstruction. DAC 2024: 281:1-281:6 - 2023
- [j12]Jie Chen, Zhiwei Nie, Yu Wang, Kai Wang, Fan Xu, Zhiheng Hu, Bing Zheng, Zhennan Wang, Guoli Song, Jingyi Zhang, Jie Fu, Xiansong Huang, Zhongqi Wang, Zhixiang Ren, Qiankun Wang, Daixi Li, Dongqing Wei, Bin Zhou, Chao Yang, Yonghong Tian:
Running ahead of evolution - AI-based simulation for predicting future high-risk SARS-CoV-2 variants. Int. J. High Perform. Comput. Appl. 37(6): 650-665 (2023) - [j11]Qiankun Wang, Xingchen Li, Bingzhe Wu, Ke Yang, Wei Hu, Guangyu Sun, Yuchao Yang:
COPPER: a combinatorial optimization problem solver with processing-in-memory architecture. Frontiers Inf. Technol. Electron. Eng. 24(5): 731-741 (2023) - [j10]Zheng-Wei Li, Qiankun Wang, Chang-An Yuan, Pengyong Han, Zhu-Hong You, Lei Wang:
Predicting MiRNA-Disease Associations by Graph Representation Learning Based on Jumping Knowledge Networks. IEEE ACM Trans. Comput. Biol. Bioinform. 20(5): 2629-2638 (2023) - [j9]Chaoji Liu, Xingqiao Liu, Chong Chen, Qiankun Wang:
Soft thresholding squeeze-and-excitation network for pose-invariant facial expression recognition. Vis. Comput. 39(7): 2637-2652 (2023) - 2022
- [j8]Shenggeng Lin, Yanjing Wang, Lingfeng Zhang, Yanyi Chu, Yatong Liu, Yitian Fang, Mingming Jiang, Qiankun Wang, Bowen Zhao, Yi Xiong, Dong-Qing Wei:
MDF-SA-DDI: predicting drug-drug interaction events based on multi-source drug fusion, multi-source feature fusion and transformer self-attention mechanism. Briefings Bioinform. 23(1) (2022) - [j7]Ruimin Wang, Zhenghui Zhang, Qiankun Wang, Jianzhi Sun:
TLGRU: time and location gated recurrent unit for multivariate time series imputation. EURASIP J. Adv. Signal Process. 2022(1): 74 (2022) - [j6]Yanyi Chu, Yan Zhang, Qiankun Wang, Lingfeng Zhang, Xuhong Wang, Yanjing Wang, Dennis Russell Salahub, Qin Xu, Jianmin Wang, Xue Jiang, Yi Xiong, Dong-Qing Wei:
A transformer-based model to predict peptide-HLA class I binding and optimize mutated peptides for vaccine design. Nat. Mach. Intell. 4(3): 300-311 (2022) - [j5]Jiani Shen, Qiankun Wang, Zifeng Ma, Yijun He:
Nonlinear Optimization Strategy for State of Power Estimation of Lithium-Ion Batteries: A Systematical Uncertainty Analysis of Key Impact Parameters. IEEE Trans. Ind. Informatics 18(10): 6680-6689 (2022) - [c5]Zhengtao Zhang, Pengyong Han, Zhengwei Li, Ru Nie, Qiankun Wang:
Prediction of MiRNA-Disease Association Based on Higher-Order Graph Convolutional Networks. ICIC (2) 2022: 181-195 - [c4]Qiankun Wang, Ming Lei, Ming-Min Zhao, Min-Jian Zhao:
Variational Bayesian Inference Based Channel Estimation for OTFS System with LSM Prior. ISWCS 2022: 1-5 - 2021
- [j4]Yanyi Chu, Xiaoqi Shan, Tianhang Chen, Mingming Jiang, Yanjing Wang, Qiankun Wang, Dennis Russell Salahub, Yi Xiong, Dong-Qing Wei:
DTI-MLCD: predicting drug-target interactions using multi-label learning with community detection method. Briefings Bioinform. 22(3) (2021) - [j3]Yanyi Chu, Xuhong Wang, Qiuying Dai, Yanjing Wang, Qiankun Wang, Shaoliang Peng, Xiaoyong Wei, Jingfei Qiu, Dennis Russell Salahub, Yi Xiong, Dong-Qing Wei:
MDA-GCNFTG: identifying miRNA-disease associations based on graph convolutional networks via graph sampling through the feature and topology graph. Briefings Bioinform. 22(6) (2021) - [j2]Mingming Jiang, Bowen Zhao, Shenggan Luo, Qiankun Wang, Yanyi Chu, Tianhang Chen, Xueying Mao, Yatong Liu, Yanjing Wang, Xue Jiang, Dong-Qing Wei, Yi Xiong:
NeuroPpred-Fuse: an interpretable stacking model for prediction of neuropeptides by fusing sequence information and feature selection methods. Briefings Bioinform. 22(6) (2021) - [j1]Aamir Mehmood, Aman Chandra Kaushik, Qiankun Wang, Cheng-Dong Li, Dong-Qing Wei:
Bringing Structural Implications and Deep Learning-Based Drug Identification for KRAS Mutants. J. Chem. Inf. Model. 61(2): 571-586 (2021) - [i1]Zhihang Yuan, Yiqi Chen, Chenhao Xue, Chenguang Zhang, Qiankun Wang, Guangyu Sun:
PTQ-SL: Exploring the Sub-layerwise Post-training Quantization. CoRR abs/2110.07809 (2021)
2010 – 2019
- 2018
- [c3]Qiankun Wang, Zeng Guo, Qianyao Li, Tingting Mei, Shi Qiao, Weiwei Zuo:
A BIM-based Labor Crew Moving Path Obstruction Detection Approach. IEEM 2018: 632-636 - [c2]Qiankun Wang, Shi Qiao:
Study on Incentive Mechanism of Knowledge Sharing in Supply Chain Based on Evolutionary Game Theory. IEEM 2018: 1780-1785 - [c1]Qiankun Wang, Tingting Mei, Zeng Guo, Lingwei Kong:
Building Material Price Forecasting Based on Multi-method in China. IEEM 2018: 1826-1830
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last updated on 2024-11-11 21:28 CET by the dblp team
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