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Kejun Liu
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2020 – today
- 2024
- [j13]Ruping Huang, Yan Qin, Kejun Liu, Gonglin Yuan
:
Biased stochastic conjugate gradient algorithm with adaptive step size for nonconvex problems. Expert Syst. Appl. 238(Part C): 121556 (2024) - [j12]Gonglin Yuan, Xiong Zhao, Kejun Liu, Xiaoxuan Chen:
An adaptive projection BFGS method for nonconvex unconstrained optimization problems. Numer. Algorithms 95(4): 1747-1767 (2024) - [j11]Fayong Zhang, Kejun Liu
Multitarget Domain Adaptation Building Instance Extraction of Remote Sensing Imagery With Domain-Common Approximation Learning. IEEE Trans. Geosci. Remote. Sens. 62: 1-16 (2024) - 2023
- [j10]Xusheng Zhang, Yongxin Ma, Kejun Liu, Long Chen, Lin Ding, Weihu Ma, Bendong Chen:
Risk prediction for dermatomyositis-associated hepatocellular carcinoma. BMC Bioinform. 24(1): 222 (2023) - [j9]Kejun Liu, Jian Gang Jin, Fangfang Xiao:
Optimizing aircrew recovery considering long connections: A column generation based approach. Comput. Ind. Eng. 185: 109652 (2023) - [j8]Yuanyuan Liu
APSL: Action-positive separation learning for unsupervised temporal action localization. Inf. Sci. 630: 206-221 (2023) - [c5]Yuanyuan Liu, Wenbin Wang, Yibing Zhan, Shaoze Feng, Kejun Liu, Zhe Chen
Pose-disentangled Contrastive Learning for Self-supervised Facial Representation. CVPR 2023: 9717-9728 - [c4]Haoyu Zhang
Learning Language-guided Adaptive Hyper-modality Representation for Multimodal Sentiment Analysis. EMNLP 2023: 756-767 - [i2]Haoyu Zhang, Yu Wang, Guanghao Yin, Kejun Liu, Yuanyuan Liu, Tianshu Yu:
Learning Language-guided Adaptive Hyper-modality Representation for Multimodal Sentiment Analysis. CoRR abs/2310.05804 (2023) - 2022
- [i1]Yuanyuan Liu, Wenbin Wang, Yibing Zhan, Zhe Chen, Shaoze Feng, Kejun Liu:
Pose-disentangled Contrastive Learning for Self-supervised Facial Representation. CoRR abs/2211.13490 (2022)
2010 – 2019
- 2019
- [c3]Kejun Liu, Yi Yao, Zhejun Liu, Reika Sato:
Design Concepts of Electronic Medical Tools for Dementia Early Detection and Assessment. LifeTech 2019: 31-33 - [c2]Haoran Liu, Yi Yao, Reika Sato, Kejun Liu:
The Development and Application of AI System based on a Japanese Pronunciation Training Game. LifeTech 2019: 95-99 - 2018
- [c1]Yi Yao, Kejun Liu, Zhejun Liu, Reika Sato:
The Development of Electronic Medical Tools of Cognitive Ability Testing for Home Use and Early Detection. GCCE 2018: 118-119 - 2014
- [j7]Jing Li, Jun Hu, Matthew Newman, Kejun Liu, Huanying Ge:
RNA-Seq Analysis Pipeline Based on Oshell Environment. IEEE ACM Trans. Comput. Biol. Bioinform. 11(5): 973-978 (2014) - 2012
- [j6]Jun Hu, Huanying Ge, Matthew Newman, Kejun Liu:
OSA: a fast and accurate alignment tool for RNA-Seq. Bioinform. 28(14): 1933-1934 (2012) - 2011
- [j5]Huanying Ge, Kejun Liu, Todd Juan, Fang Fang
FusionMap: detecting fusion genes from next-generation sequencing data at base-pair resolution. Bioinform. 27(14): 1922-1928 (2011) - [j4]Chunyi Guo, Runzhi Li, Ming Fan, Kejun Liu:
Neighboring Digits Pattern Training Method in Quickly-spoken Connected Mandarin Digits Speech Recognition. J. Multim. 6(3): 300-307 (2011)
2000 – 2009
- 2007
- [j3]Kejun Liu, Jing Deng, Pramod K. Varshney, Kashyap Balakrishnan:
An Acknowledgment-Based Approach for the Detection of Routing Misbehavior in MANETs. IEEE Trans. Mob. Comput. 6(5): 536-550 (2007) - 2005
- [j2]Kejun Liu, Spencer V. Muse:
PowerMarker: an integrated analysis environment for genetic marker analysis. Bioinform. 21(9): 2128-2129 (2005) - [j1]Kejun Liu, Jun Feng, S. Stanley Young:
PowerMV: A Software Environment for Molecular Viewing, Descriptor Generation, Data Analysis and Hit Evaluation. J. Chem. Inf. Model. 45(2): 515-522 (2005)
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