Junjie Liang

According to our database, Junjie Liang authored at least 33 papers between 2008 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2024

A Collaborative Compression Scheme for Fast Activity Recognition on Mobile Devices via Global Compression Ratio Decision.

Junjie Liang, Lei Zhang, Chaolei Han, Can Bu, Hao Wu, Aiguo Song

IEEE Trans. Mob. Comput., April, 2024

An automatic network structure search via channel pruning for accelerating human activity inference on mobile devices.

Junjie Liang, Lei Zhang, Can Bu, Dongzhou Cheng, Hao Wu, Aiguo Song

Expert Syst. Appl., March, 2024

Adaptive Local Modularity Learning for Efficient Multilayer Graph Clustering.

Danyang Wu, Penglei Wang, Junjie Liang, Jitao Lu, Jin Xu, Rong Wang, Feiping Nie

IEEE Trans. Signal Process., 2024

Plug-and-play multi-dimensional attention module for accurate Human Activity Recognition.

Junjie Liang, Lei Zhang, Can Bu, Guangyu Yang, Hao Wu, Aiguo Song

Comput. Networks, 2024

RetrievalMMT: Retrieval-Constrained Multi-Modal Prompt Learning for Multi-Modal Machine Translation.

Yan Wang, Yawen Zeng, Junjie Liang, Xiaofen Xing, Jin Xu, Xiangmin Xu

Proceedings of the 2024 International Conference on Multimedia Retrieval, 2024

3D-SAutoMed: Automatic Segment Anything Model for 3D Medical Image Segmentation from Local-Global Perspective.

Junjie Liang, Peng Cao, Wenju Yang, Jinzhu Yang, Osmar R. Zaïane

Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2024, 2024

THE BAT: Thoughts Hierarchical Enhancement Beyond Arbitrary Text Style Transfer.

Biqing Zeng, Junjie Liang, Yining Hua, Ruizhe Li, Huimin Deng, Yihao Peng, Ruitang Wang

Proceedings of the Advanced Intelligent Computing Technology and Applications, 2024

Inducing Clusters Deep Kernel Gaussian Process for Longitudinal Data.

Junjie Liang, Weijieying Ren, Hanifi Sahar, Vasant G. Honavar

Proceedings of the Thirty-Eighth AAAI Conference on Artificial Intelligence, 2024

2023

BTSwin-Unet: 3D U-shaped Symmetrical Swin Transformer-based Network for Brain Tumor Segmentation with Self-supervised Pre-training.

Junjie Liang, Cihui Yang, Jingting Zhong, Xiaoli Ye

Neural Process. Lett., 2023

NP²L: Negative Pseudo Partial Labels Extraction for Graph Neural Networks.

Xinjie Shen, Danyang Wu, Jitao Lu, Junjie Liang, Jin Xu, Feiping Nie

CoRR, 2023

Multi-Objective Surrogate Modeling Through Transfer Learning for Telescopic Boom Forklift.

Jingliang Lin, Haiyan Li, Yunbao Huang, Junjie Liang, Sheng Zhou, Zeying Huang, Guiming Liang

IEEE Access, 2023

2022

Runge-Kutta Type Discrete Circadian RNN for Resolving Tri-Criteria Optimization Scheme of Noises Perturbed Redundant Robot Manipulators.

Zhijun Zhang, Xianzhi Deng, Mingzhen He, Tao Chen, Junjie Liang

IEEE Trans. Syst. Man Cybern. Syst., 2022

Discrete-Time Circadian Rhythms Neural Network for Perturbed Redundant Robot Manipulators Tracking Problem With Periodic Noises.

Zhijun Zhang, Siyuan Chen, Junjie Liang

IEEE Trans. Ind. Informatics, 2022

3D PSwinBTS: An efficient transformer-based Unet using 3D parallel shifted windows for brain tumor segmentation.

Junjie Liang, Cihui Yang, Lingguo Zeng

Digit. Signal Process., 2022

PieTrack: An MOT solution based on synthetic data training and self-supervised domain adaptation.

Yirui Wang, Shenghua He, Youbao Tang, Jingyu Chen, Honghao Zhou, Sanliang Hong, Junjie Liang, Yanxin Huang, Ning Zhang, Ruei-Sung Lin, Mei Han

CoRR, 2022

Dynamic Information Mining Based Vaccine Distribution Strategy.

Junjie Liang, Huilin Yao, Jiayi Wang, Ya-Hui Jia

Proceedings of the 6th International Conference on Universal Village, 2022

Reliable Self-Supervised Information Mining for Deep Subspace Clustering.

Junjie Liang, Hang Gao, Haojun Sun, Rui Li, Cheng Liu

Proceedings of the IEEE International Conference on Multimedia and Expo, 2022

2021

UNITE: Uncertainty-based Health Risk Prediction Leveraging Multi-sourced Data.

Chacha Chen, Junjie Liang, Fenglong Ma, Lucas Glass, Jimeng Sun, Cao Xiao

Proceedings of the WWW '21: The Web Conference 2021, 2021

FARE: Enabling Fine-grained Attack Categorization under Low-quality Labeled Data.

Junjie Liang, Wenbo Guo, Tongbo Luo, Vasant G. Honavar, Gang Wang, Xinyu Xing

Proceedings of the 28th Annual Network and Distributed System Security Symposium, 2021

Transformer-Style Relational Reasoning with Dynamic Memory Updating for Temporal Network Modeling.

Dongkuan Xu, Junjie Liang, Wei Cheng, Hua Wei, Haifeng Chen, Xiang Zhang

Proceedings of the Thirty-Fifth AAAI Conference on Artificial Intelligence, 2021

Longitudinal Deep Kernel Gaussian Process Regression.

Junjie Liang, Yanting Wu, Dongkuan Xu, Vasant G. Honavar

Proceedings of the Thirty-Fifth AAAI Conference on Artificial Intelligence, 2021

How Do We Move: Modeling Human Movement with System Dynamics.

Hua Wei, Dongkuan Xu, Junjie Liang, Zhenhui Li

Proceedings of the Thirty-Fifth AAAI Conference on Artificial Intelligence, 2021

2020

A Failure Handling Process Model for Failure Management in Manual Assembly.

Robin Exner, Quoc Hao Ngo, Junjie Liang, Max Ellerich, Robin Günther, Sebastian Schmitt, Robert H. Schmitt

Proceedings of the IEEE International Conference on Industrial Engineering and Engineering Management, 2020

LMLFM: Longitudinal Multi-Level Factorization Machine.

Junjie Liang, Dongkuan Xu, Yiwei Sun, Vasant G. Honavar

Proceedings of the Thirty-Fourth AAAI Conference on Artificial Intelligence, 2020

2018

A user similarity-based Top-<i>N</i> recommendation approach for mobile in-application advertising.

Jinlong Hu, Junjie Liang, Yuezhen Kuang, Vasant G. Honavar

Expert Syst. Appl., 2018

Top-N-Rank: A Scalable List-wise Ranking Method for Recommender Systems.

Junjie Liang, Jinlong Hu, Shoubin Dong, Vasant G. Honavar

Proceedings of the IEEE International Conference on Big Data (IEEE BigData 2018), 2018

2017

iBGP: A Bipartite Graph Propagation Approach for Mobile Advertising Fraud Detection.

Jinlong Hu, Junjie Liang, Shoubin Dong

Mob. Inf. Syst., 2017

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).

Jie Zhao, Kaihang Zhang, Zhenning Dong, Junjie Liang, Kefu Xu

计算机科学, 2017

2016

基于MapReduce的数据倾斜连接算法 (Join Algorithm in Skewed Datasets Based on MapReduce).

Junjie Liang, Limin He

计算机科学, 2016

2015

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).

Jie Zhao, Junjie Liang, Zhenning Dong, Xu Chen, Deyu Tang

计算机科学, 2015

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).

Junjie Liang, Yangzheng Sun

计算机科学, 2015

Data-Aware Partitioning Schema in MapReduce.

Junjie Liang, Qiongni Liu, Li Yin, Dunhui Yu

Proceedings of the Intelligent Computation in Big Data Era, 2015

2008

DM-Based Medical Solution and Application.

Junjie Liang, Yucai Feng

Proceedings of the Advanced Web and NetworkTechnologies, and Applications, 2008