Kaijian Liu

According to our database, Kaijian Liu authored at least 17 papers between 2014 and 2023.

Collaborative distances:

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

2023

Characterizing Data Sharing in Civil Infrastructure Engineering: Current Practice, Future Vision, Barriers, and Promotion Strategies.

Yanyu Wang, Pingbo Tang, Kaijian Liu, Jiannan Cai, Ran Ren, Jacob J. Lin, Hubo Cai, Jiansong Zhang, Nora M. El-Gohary, Mario Berges, Mani Golparvar Fard

J. Comput. Civ. Eng., March, 2023

Structural Deterioration Knowledge Ontology towards Physics-Informed Machine Learning for Enhanced Bridge Deterioration Prediction.

Xi Hu, Kaijian Liu

J. Comput. Civ. Eng., January, 2023

Relation-Aware Distribution Representation Network for Person Clustering with Multiple Modalities.

Kaijian Liu, Shixiang Tang, Ziyue Li, Zhishuai Li, Lei Bai, Feng Zhu, Rui Zhao

CoRR, 2023

Trust Your Partner's Friends: Hierarchical Cross-Modal Contrastive Pre-Training for Video-Text Retrieval.

Yuhan Xiang, Kaijian Liu, Shixiang Tang, Lei Bai, Feng Zhu, Rui Zhao, Xianming Lin

Proceedings of the IEEE International Conference on Acoustics, 2023

2022

Deep Learning-Based Analytics of Multisource Heterogeneous Bridge Data for Enhanced Data-Driven Bridge Deterioration Prediction.

Kaijian Liu, Nora M. El-Gohary

J. Comput. Civ. Eng., 2022

Improved similarity assessment and spectral clustering for unsupervised linking of data extracted from bridge inspection reports.

Kaijian Liu, Nora M. El-Gohary

Adv. Eng. Informatics, 2022

2021

Semantic Neural Network Ensemble for Automated Dependency Relation Extraction from Bridge Inspection Reports.

Kaijian Liu, Nora M. El-Gohary

J. Comput. Civ. Eng., 2021

Online Pseudo Label Generation by Hierarchical Cluster Dynamics for Adaptive Person Re-identification.

Yi Zheng, Shixiang Tang, Guolong Teng, Yixiao Ge, Kaijian Liu, Jing Qin, Donglian Qi, Dapeng Chen

Proceedings of the 2021 IEEE/CVF International Conference on Computer Vision, 2021

Mutual CRF-GNN for Few-Shot Learning.

Shixiang Tang, Dapeng Chen, Lei Bai, Kaijian Liu, Yixiao Ge, Wanli Ouyang

Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2021

2020

Fusing Data Extracted from Bridge Inspection Reports for Enhanced Data-Driven Bridge Deterioration Prediction: A Hybrid Data Fusion Method.

Kaijian Liu, Nora M. El-Gohary

J. Comput. Civ. Eng., 2020

2019

Effective capacity-aware resource allocation for 5G ultra dense network with hybrid access mode.

Hasan Shamim, Haibo Zhang, Cissoko Moussa, Kaijian Liu

Proceedings of the Conference on Research in Adaptive and Convergent Systems, 2019

Task offloading strategies based on workload balancing in ultra-dense networks.

Cissoko Moussa, Haibo Zhang, Hasan Shamim, Kaijian Liu

Proceedings of the Conference on Research in Adaptive and Convergent Systems, 2019

2018

D2D网络中基于分簇的无线资源分配机制 (Cluster-based Radio Resource Allocation Mechanism in D2D Networks).

Fangwei Li, Xu Huang, Haibo Zhang, Kaijian Liu, Xiaofan He

计算机科学, 2018

Unsupervised Named Entity Normalization for Supporting Information Fusion for Big Bridge Data Analytics.

Kaijian Liu, Nora M. El-Gohary

Proceedings of the Advanced Computing Strategies for Engineering, 2018

2016

Cluster-Based Resource Allocation for Spectrum-Sharing Femtocell Networks.

Haibo Zhang, Dingde Jiang, Fangwei Li, Kaijian Liu, Houbing Song, Huaiyu Dai

IEEE Access, 2016

2014

Chunks and power allocation in OFDMA systems based on transient chaotic neural network.

Haibo Zhang, Kaijian Liu, Lixiong Mu, Fangwei Li

Proceedings of the 2014 Conference on Research in Adaptive and Convergent Systems, 2014

Energy-aware resource allocation based on margin adaptive principle for OFDMA systems.

Kaijian Liu, Haibo Zhang, Jiaoyang Peng, Fangwei Li

Proceedings of the 2014 Conference on Research in Adaptive and Convergent Systems, 2014