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ORCIDJunjie Liang
This is just a disambiguation page, and is not intended to be the bibliography of an actual person. Any publication listed on this page has not been assigned to an actual author yet. If you know the true author of one of the publications listed below, you are welcome to contact us.
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2020 – today
- 2024
[j15]Junjie Liang, Lei Zhang
, Can Bu, Guangyu Yang, Hao Wu, Aiguo Song:
Plug-and-play multi-dimensional attention module for accurate Human Activity Recognition. Comput. Networks 244: 110338 (2024)- [j14]Junjie Liang, Lei Zhang, Can Bu, Dongzhou Cheng, Hao Wu, Aiguo Song:
An automatic network structure search via channel pruning for accelerating human activity inference on mobile devices. Expert Syst. Appl. 238(Part E): 122180 (2024) - [j13]Junjie Liang, Lei Zhang, Chaolei Han, Can Bu, Hao Wu, Aiguo Song:
A Collaborative Compression Scheme for Fast Activity Recognition on Mobile Devices via Global Compression Ratio Decision. IEEE Trans. Mob. Comput. 23(4): 3259-3273 (2024) - [j12]Danyang Wu, Penglei Wang, Junjie Liang, Jitao Lu, Jin Xu, Rong Wang, Feiping Nie:
Adaptive Local Modularity Learning for Efficient Multilayer Graph Clustering. IEEE Trans. Signal Process. 72: 2221-2232 (2024) - [c16]Junjie Liang, Weijieying Ren, Hanifi Sahar, Vasant G. Honavar:
Inducing Clusters Deep Kernel Gaussian Process for Longitudinal Data. AAAI 2024: 13736-13743 - [c15]Biqing Zeng, Junjie Liang, Yining Hua, Ruizhe Li, Huimin Deng, Yihao Peng, Ruitang Wang:
THE BAT: Thoughts Hierarchical Enhancement Beyond Arbitrary Text Style Transfer. ICIC (LNAI 4) 2024: 376-388 - [c14]Junjie Liang, Peng Cao, Wenju Yang, Jinzhu Yang, Osmar R. Zaïane:
3D-SAutoMed: Automatic Segment Anything Model for 3D Medical Image Segmentation from Local-Global Perspective. MICCAI (9) 2024: 3-12 - [c13]Yan Wang, Yawen Zeng, Junjie Liang, Xiaofen Xing, Jin Xu, Xiangmin Xu:
RetrievalMMT: Retrieval-Constrained Multi-Modal Prompt Learning for Multi-Modal Machine Translation. ICMR 2024: 860-868 - 2023
- [j11]Jingliang Lin, Haiyan Li, Yunbao Huang, Junjie Liang, Sheng Zhou, Zeying Huang, Guiming Liang:
Multi-Objective Surrogate Modeling Through Transfer Learning for Telescopic Boom Forklift. IEEE Access 11: 11629-11641 (2023) - [j10]Junjie Liang, Cihui Yang, Jingting Zhong, Xiaoli Ye:
BTSwin-Unet: 3D U-shaped Symmetrical Swin Transformer-based Network for Brain Tumor Segmentation with Self-supervised Pre-training. Neural Process. Lett. 55(4): 3695-3713 (2023) - [i6]Xinjie Shen, Danyang Wu, Jitao Lu, Junjie Liang, Jin Xu, Feiping Nie:
NP2L: Negative Pseudo Partial Labels Extraction for Graph Neural Networks. CoRR abs/2310.01098 (2023) - 2022
- [j9]Junjie Liang, Cihui Yang, Lingguo Zeng:
3D PSwinBTS: An efficient transformer-based Unet using 3D parallel shifted windows for brain tumor segmentation. Digit. Signal Process. 131: 103784 (2022) - [j8]Zhijun Zhang, Siyuan Chen, Junjie Liang:
Discrete-Time Circadian Rhythms Neural Network for Perturbed Redundant Robot Manipulators Tracking Problem With Periodic Noises. IEEE Trans. Ind. Informatics 18(1): 242-251 (2022) - [j7]Zhijun Zhang, Xianzhi Deng, Mingzhen He, Tao Chen, Junjie Liang:
Runge-Kutta Type Discrete Circadian RNN for Resolving Tri-Criteria Optimization Scheme of Noises Perturbed Redundant Robot Manipulators. IEEE Trans. Syst. Man Cybern. Syst. 52(3): 1405-1416 (2022) - [c12]Junjie Liang, Hang Gao, Haojun Sun, Rui Li, Cheng Liu:
Reliable Self-Supervised Information Mining for Deep Subspace Clustering. ICME 2022: 1-6 - [c11]Junjie Liang, Huilin Yao, Jiayi Wang, Ya-Hui Jia:
Dynamic Information Mining Based Vaccine Distribution Strategy. UV 2022: 1-8 - [i5]Yirui Wang, Shenghua He, Youbao Tang, Jingyu Chen, Honghao Zhou, Sanliang Hong, Junjie Liang, Yanxin Huang, Ning Zhang, Ruei-Sung Lin, Mei Han:
PieTrack: An MOT solution based on synthetic data training and self-supervised domain adaptation. CoRR abs/2207.11325 (2022) - 2021
- [c10]Hua Wei, Dongkuan Xu, Junjie Liang, Zhenhui Li:
How Do We Move: Modeling Human Movement with System Dynamics. AAAI 2021: 4445-4452 - [c9]Dongkuan Xu, Junjie Liang, Wei Cheng, Hua Wei, Haifeng Chen, Xiang Zhang:
Transformer-Style Relational Reasoning with Dynamic Memory Updating for Temporal Network Modeling. AAAI 2021: 4546-4554 - [c8]Junjie Liang, Yanting Wu, Dongkuan Xu, Vasant G. Honavar:
Longitudinal Deep Kernel Gaussian Process Regression. AAAI 2021: 8556-8564 - [c7]Junjie Liang, Wenbo Guo, Tongbo Luo, Vasant G. Honavar, Gang Wang, Xinyu Xing:
FARE: Enabling Fine-grained Attack Categorization under Low-quality Labeled Data. NDSS 2021 - [c6]Chacha Chen, Junjie Liang, Fenglong Ma, Lucas Glass, Jimeng Sun, Cao Xiao:
UNITE: Uncertainty-based Health Risk Prediction Leveraging Multi-sourced Data. WWW 2021: 217-226 - 2020
- [c5]Junjie Liang, Dongkuan Xu, Yiwei Sun, Vasant G. Honavar:
LMLFM: Longitudinal Multi-Level Factorization Machine. AAAI 2020: 4811-4818 - [c4]Robin Exner, Quoc Hao Ngo, Junjie Liang, Max Ellerich, Robin Günther, Sebastian Schmitt, Robert H. Schmitt:
A Failure Handling Process Model for Failure Management in Manual Assembly. IEEM 2020: 1225-1229 - [i4]Junjie Liang, Yanting Wu, Dongkuan Xu, Vasant G. Honavar:
Longitudinal Deep Kernel Gaussian Process Regression. CoRR abs/2005.11770 (2020) - [i3]Chacha Chen, Junjie Liang, Fenglong Ma, Lucas M. Glass, Jimeng Sun, Cao Xiao:
UNITE: Uncertainty-based Health Risk Prediction Leveraging Multi-sourced Data. CoRR abs/2010.11389 (2020)
2010 – 2019
- 2019
- [i2]Junjie Liang, Dongkuan Xu, Yiwei Sun, Vasant G. Honavar:
LMLFM: Longitudinal Multi-Level Factorization Machine. CoRR abs/1911.04062 (2019) - 2018
- [j6]Jinlong Hu, Junjie Liang, Yuezhen Kuang, Vasant G. Honavar:
A user similarity-based Top-N recommendation approach for mobile in-application advertising. Expert Syst. Appl. 111: 51-60 (2018) - [c3]Junjie Liang, Jinlong Hu, Shoubin Dong, Vasant G. Honavar:
Top-N-Rank: A Scalable List-wise Ranking Method for Recommender Systems. IEEE BigData 2018: 1052-1058 - [i1]Junjie Liang, Jinlong Hu, Shoubin Dong, Vasant G. Honavar:
Top-N-Rank: A Scalable List-wise Ranking Method for Recommender Systems. CoRR abs/1812.04109 (2018) - 2017
- [j5]Jie Zhao, Kaihang Zhang, Zhenning Dong, Junjie Liang, Kefu Xu:
粗等价粒度下基于多种加速策略的增量式求核算法 (Granularity of Rough Equivalence Class Based Incremental Attribute Core Computation Using Multiple Accelerating Strategies Pruning and Multiple Hashing). 计算机科学 44(1): 226-234 (2017) - [j4]Jinlong Hu, Junjie Liang, Shoubin Dong:
iBGP: A Bipartite Graph Propagation Approach for Mobile Advertising Fraud Detection. Mob. Inf. Syst. 2017: 6412521:1-6412521:12 (2017) - 2016
- [j3]Junjie Liang, Limin He:
基于MapReduce的数据倾斜连接算法 (Join Algorithm in Skewed Datasets Based on MapReduce). 计算机科学 43(9): 27-31 (2016) - 2015
- [j2]Junjie Liang, Yangzheng Sun:
基于PH-Tree多属性索引树的朋友推荐算法 (Friend Recommendation Algorithm Based on PH-Tree Multi-attribute Index Tree). 计算机科学 42(4): 156-159 (2015) - [j1]Jie Zhao, Junjie Liang, Zhenning Dong, Xu Chen, Deyu Tang:
基于全局正区域不一致性的快速求核算法 (Global Positive Region Inconsistency Based Attributes Core Computation). 计算机科学 42(8): 259-264 (2015) - [c2]Junjie Liang, Qiongni Liu, Li Yin, Dunhui Yu:
Data-Aware Partitioning Schema in MapReduce. ICYCSEE 2015: 93-100
2000 – 2009
- 2008
- [c1]Junjie Liang, Yucai Feng:
DM-Based Medical Solution and Application. APWeb Workshops 2008: 85-86
Coauthor Index
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