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Shuhui Liu
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2020 – today
- 2024
- [j23]Wenxin Zhang, Yaya Zhou, Shuhui Liu, Yupei Zhang, Xuequn Shang:
Weakly supervised text classification framework for noisy-labeled imbalanced samples. Neurocomputing 610: 128617 (2024) - [j22]Feng Xu, Litong Li, Peng Jing, Zhiwei Yu, Jialiang Zhang, Shuhui Liu:
Experimental Study on the Characterization of Aging Resistance Properties of Optical Cables in the Hydrogen-Containing Downhole Environment. Sensors 24(5): 1655 (2024) - 2023
- [j21]Zengjing Chen, Xinwei Feng, Shuhui Liu, Weihai Zhang:
Bang-bang control for a class of optimal stochastic control problems with symmetric cost functional. Autom. 149: 110849 (2023) - [j20]Zengjing Chen, Xinwei Feng, Shuhui Liu, Xiaodong Yan:
Optimal distributions of rewards for a two-armed slot machine. Neurocomputing 518: 401-407 (2023) - [j19]Yaxue Li, Hongzhi Xie, Xiaolin Deng, Jin Zhang, Shuhui Liu, Li Wang:
Inventory optimisation based on NSGA-III algorithm. Int. J. Space Based Situated Comput. 9(3): 158-164 (2023) - [j18]Zhuoqing Xie, Hongzhi Xie, Shuhui Liu, Yijing Huang, Xiaolin Deng, Biwei Liu:
A multi-tiered spare parts inventory forecasting system. Int. J. Space Based Situated Comput. 9(3): 165-172 (2023) - [j17]Yupei Zhang, Rui An, Shuhui Liu, Jiaqi Cui, Xuequn Shang:
Predicting and Understanding Student Learning Performance Using Multi-Source Sparse Attention Convolutional Neural Networks. IEEE Trans. Big Data 9(1): 118-132 (2023) - [j16]Shuhui Liu, Yupei Zhang, Xuequn Shang:
GLassonet: Identifying Discriminative Gene Sets Among Molecular Subtypes of Breast Cancer. IEEE ACM Trans. Comput. Biol. Bioinform. 20(3): 1905-1916 (2023) - [c27]Yupei Zhang, Rui An, Wenxin Zhang, Shuhui Liu, Xuequn Shang:
Deep Knowledge Tracing with Concept Trees. ADMA (2) 2023: 377-390 - [c26]Liqian Sun, Jingheng Wang, Yiping Zhang, Di Zhu, Yupei Zhang, Shuhui Liu:
Semantic concept recognition in learning brain by using deep convolutional networks. BIBM 2023: 3901-3906 - [c25]Yiping Zhang, Liqian Sun, Jingheng Wang, Yan Shen, Yupei Zhang, Shuhui Liu:
Concept-level recognition from neuroimages for understanding learning in the brain. BIBM 2023: 3984-3990 - [c24]Mengfei Liu, Shuangshuang Wei, Shuhui Liu, Xuequn Shang, Yupei Zhang:
Course-Graph Discovery from Academic Performance Using Nonnegative LassoNet. ICCSE (3) 2023: 364-370 - [i1]Xiaolong Chen, Xin Qi, Chunguang Su, Yuan He, Zhijun Wang, Kunxiang Sun, Chao Jin, Weilong Chen, Shuhui Liu, Xiaoying Zhao, Duanyang Jia, Man Yi:
Trend-Based SAC Beam Control Method with Zero-Shot in Superconducting Linear Accelerator. CoRR abs/2305.13869 (2023) - 2022
- [j15]Panting Niu, Shuhui Liu, Wei Cheng, Litong Li:
Liquid Modified Anti-Resonant Reflecting Guidance in Silica Capillary for Sensing Applications. IEEE Access 10: 53676-53681 (2022) - [j14]Meihong Gao, Shuhui Liu, Yang Qi, Xinpeng Guo, Xuequn Shang:
GAE-LGA: integration of multi-omics data with graph autoencoders to identify lncRNA-PCG associations. Briefings Bioinform. 23(6) (2022) - [j13]Yupei Zhang, Shuangshuang Wei, Shuhui Liu, Yifei Wang, Yunan Xu, Yuxin Li, Xuequn Shang:
Graph-regularized federated learning with shareable side information. Knowl. Based Syst. 257: 109960 (2022) - [j12]Shuhui Liu, Bo Fu, Wen Wang, Mei Liu, Xin Sun:
Dynamic Sepsis Prediction for Intensive Care Unit Patients Using XGBoost-Based Model With Novel Time-Dependent Features. IEEE J. Biomed. Health Informatics 26(8): 4258-4269 (2022) - [c23]Yupei Zhang, Yunan Xu, Rui An, Yuxin Li, Shuhui Liu, Xuequn Shang:
Markov Guided Spatio-Temporal Networks for Brain Image Classification*. BIBM 2022: 2035-2041 - [c22]Wenxin Zhang, Yupei Zhang, Shuhui Liu, Xuequn Shang:
Online Deep Knowledge Tracing. ICDM (Workshops) 2022: 292-297 - [c21]Shuhui Liu, Yupei Zhang, Xuequn Shang:
Functional Analysis of Molecular Subtypes with Deep Similarity Learning Model Based on Multi-omics Data. ICIC (2) 2022: 126-137 - [c20]Yupei Zhang, Yaya Zhou, Shuhui Liu, Wenxin Zhang, Min Xiao, Xuequn Shang:
WeStcoin: Weakly-Supervised Contextualized Text Classification with Imbalance and Noisy Labels. ICPR 2022: 2451-2457 - 2021
- [j11]Shuhui Liu, Yupei Zhang, Xuequn Shang, Zhaolei Zhang:
ProTICS reveals prognostic impact of tumor infiltrating immune cells in different molecular subtypes. Briefings Bioinform. 22(6) (2021) - [j10]Heng Li, Chunxiao Zhang, Ziwei Xiao, Min Chen, Dequan Lu, Shuhui Liu:
A Web-based geo-simulation approach integrating knowledge graph and model-services. Environ. Model. Softw. 144: 105160 (2021) - [c19]Shuhui Liu, Yupei Zhang, Jiajie Peng, Xuequn Shang:
DCAE: Selecting Discriminative Genes on Single-cell RNA-seq Data for Cell-type Quantification. BIBM 2021: 1865-1872 - 2020
- [j9]Yupei Zhang, Shuhui Liu:
Integrated Sparse Coding With Graph Learning for Robust Data Representation. IEEE Access 8: 161245-161260 (2020) - [j8]Bao Zhang, Shuhui Liu, Cenlou Hu, Ziwen Luo, Sai Huang, Jie Sui:
Enhanced memory-driven attentional capture in action video game players. Comput. Hum. Behav. 107: 106271 (2020) - [j7]Yupei Zhang, Huan Dai, Yue Yun, Shuhui Liu, Andrew S. Lan, Xuequn Shang:
Meta-knowledge dictionary learning on 1-bit response data for student knowledge diagnosis. Knowl. Based Syst. 205: 106290 (2020) - [j6]Yijian Huang, Shuhui Liu, Lichao Zhang, Yiping Wang, Ying Wang:
Self-Imaging Effect in Liquid-Filled Hollow-Core Capillary Waveguide for Sensing Applications. Sensors 20(1): 135 (2020)
2010 – 2019
- 2019
- [j5]Shuhui Liu, Shaoqing Cao, Zhe Zhang, Ying Wang, Changrui Liao, Yiping Wang:
Temperature Sensor Based on Side-Polished Fiber SPR Device Coated with Polymer. Sensors 19(19): 4063 (2019) - 2018
- [j4]Yang Guo, Shuhui Liu, Zhanhuai Li, Xuequn Shang:
BCDForest: a boosting cascade deep forest model towards the classification of cancer subtypes based on gene expression data. BMC Bioinform. 19-S(5): 118:1-118:13 (2018) - [j3]Jiajie Peng, Xuanshuo Zhang, Weiwei Hui, Junya Lu, Qianqian Li, Shuhui Liu, Xuequn Shang:
Improving the measurement of semantic similarity by combining gene ontology and co-functional network: a random walk based approach. BMC Syst. Biol. 12(S-2): 109-116 (2018) - [c18]Bo Yang, Shuhui Liu, Shanmin Pang, Chenpai Pang, Xuequn Shang:
Deep Subspace Similarity Fusion for the Prediction of Cancer Subtypes. BIBM 2018: 566-571 - [c17]Shuhui Liu, Xuequn Shang:
Hierarchical Similarity Network Fusion for Discovering Cancer Subtypes. ISBRA 2018: 125-136 - [c16]Yupei Zhang, Shuhui Liu, Xuequn Shang, Ming Xiang:
Low-Rank Graph Regularized Sparse Coding. PRICAI (1) 2018: 177-190 - 2017
- [c15]Yang Guo, Shuhui Liu, Zhanhuai Li, Xuequn Shang:
Towards the classification of cancer subtypes by using cascade deep forest model in gene expression data. BIBM 2017: 1664-1669 - 2012
- [c14]Shuhui Liu, Yongyu Chang, Guangde Wang, Dacheng Yang:
Distributed Resource Allocation with Inter-Cell Interference Coordination in OFDMA Uplink. VTC Fall 2012: 1-5 - [c13]Chi Zhang, Yongyu Chang, Shuhui Liu, Dacheng Yang:
A simple hybrid coordination scheme with semi-distributed mode in multi-cell network. WCNC 2012: 1070-1075 - [c12]Chi Zhang, Yongyu Chang, Shuhui Liu, Dacheng Yang:
System-level analysis and evaluation of SF-DC transmit mode in HSPA+ system. WCNC 2012: 1185-1190 - 2011
- [c11]Shuhui Liu, Yongyu Chang, Guangde Wang, Dacheng Yang:
Vertical handoff scheme concerning mobility in the two-hierarchy network. GLOBECOM Workshops 2011: 237-241 - [c10]Shuhui Liu, Yongyu Chang, Ruiming Yang, Dacheng Yang:
Efficient Distributed Dynamic Resource Allocation for LTE Systems. VTC Fall 2011: 1-5 - [c9]Wei Yang, Yongyu Chang, Shuhui Liu, Dacheng Yang:
Efficient Multi-Point Transmission Scheme for HSDPA Networks. VTC Fall 2011: 1-5 - [c8]Chi Zhang, Yongyu Chang, Shuhui Liu, Dacheng Yang:
The Analysis and Evaluation of Uplink Transmit Diversity Schemes in Multi-User HSUPA System. VTC Spring 2011: 1-5 - 2010
- [c7]Ruiming Yang, Yongyu Chang, Shuhui Liu, Dacheng Yang:
System Layer Evaluation of Imperfect Adaptive Beam-Forming Antenna for Mixed Services in the LTE TDD System. VTC Spring 2010: 1-5
2000 – 2009
- 2009
- [c6]Shuhui Liu, Yongyu Chang, Yang Yang, Yan Long Wang, Dacheng Yang:
A SC-FDE scheme adopting frequency-domain QR decomposition in MIMO system. PIMRC 2009: 261-265 - [c5]Jie Cui, Yongyu Chang, Shuhui Liu, Dacheng Yang:
An efficient delay-restricted scheduling algorithm for multi-carrier TD-HSDPA systems. PIMRC 2009: 1416-1421 - [c4]Jie Cui, Yongyu Chang, Shuhui Liu, Dacheng Yang:
Adaptive resource allocation in OFDMA with insufficient guard interval under fractional load. PIMRC 2009: 3174-3178 - 2008
- [c3]Liang Hong, Jie Cui, Bo Chen, Yongyu Chang, Shuhui Liu, Dacheng Yang:
Spatial Division Multiple Access with Smart Antennas in TD-SCDMA HSDPA. VTC Fall 2008: 1-5 - [c2]Shuhui Liu, Jie Cui, Yongyu Chang:
Evaluation of Key Techniques for Packet Traffics in Multi-Carrier LCR TDD Systems. VTC Fall 2008: 1-5 - 2007
- [c1]Jingming Yang, Haijun Che, Fuping Dou, Shuhui Liu:
Application of Neural Network on Rolling Force Self-learning for Tandem Cold Rolling Mills. ISNN (1) 2007: 480-486
1990 – 1999
- 1997
- [j2]Ruisheng Zhang, Shuhui Liu, Mancang Liu, Zhide Hu:
Neural Network-molecular Descriptors Approach to the Prediction of Properties of Alkenes. Comput. Chem. 21(5): 335-341 (1997) - [j1]Shuhui Liu, Ruisheng Zhang, Mancang Liu, Zhide Hu:
Neural Network-Topological Indices Approach to the Prediction of Properties of Alkene. J. Chem. Inf. Comput. Sci. 37(6): 1146-1151 (1997)
Coauthor Index
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last updated on 2024-10-07 21:15 CEST by the dblp team
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