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Ke-Jia Chen 0001
Person information
- unicode name: 陈可佳
- affiliation: Nanjing University of Posts and Telecommunications, Department of Computer Science and Engineering, Jiangsu Key Laboratory of Big Data Security & Intelligent Processing, China
- affiliation (PhD): Université de Technologie de Compiègne, France
- affiliation (former): Nanjing University, National Laboratory for Novel Software Technology, China
Other persons with the same name
- Kejia Chen 0002
— Fuzhou University, School of Economics and Management, China (and 1 more)
- Kejia Chen 0003 — University of Illinois at Urbana-Champaign, Department of Chemical & Biomolecular Engineering, Urbana, IL, USA
- Kejia Chen 0004 — East China Normal University, Shanghai, China
- Kejia Chen 0005 — Technical University of Munich, Germany
- Kejia Chen 0006 — Chengdu Huawei Technology Co., Ltd, China
- Kejia Chen 0007 — Zhejiang University, Hangzhou, China
- Kejia Chen 0008 — Xiamen University of Technology, School of Film Television and Communication, China
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2020 – today
- 2024
- [j25]Ke-Jia Chen, Yinchu Qiu, Zheng Liu, Wenhui Mu:
Layer imbalance-aware multiplex network embedding. Knowl. Inf. Syst. 66(6): 3547-3569 (2024) - [j24]Ke-Jia Chen
Self-Supervised Dynamic Graph Representation Learning via Temporal Subgraph Contrast. ACM Trans. Knowl. Discov. Data 18(1): 18:1-18:20 (2024) - 2023
- [j23]Ke-Jia Chen, Mingyu Wu, Yibo Zhang, Zhiwei Chen:
SR-AFU: super-resolution network using adaptive frequency component upsampling and multi-resolution features. Frontiers Comput. Sci. 17(1): 171307 (2023) - [j22]Feng Xie, Jingqiang Chen, Kejia Chen:
Extractive text-image summarization with relation-enhanced graph attention network. J. Intell. Inf. Syst. 61(2): 325-341 (2023) - [j21]Ke-Jia Chen
GIMIRec: Global Interaction-aware Multi-Interest framework for sequential Recommendation. Neural Comput. Appl. 35(2): 1695-1709 (2023) - [j20]Linsong Liu, Ke-Jia Chen, Zheng Liu:
Collaborative bi-aggregation for directed graph embedding. Neural Networks 164: 707-718 (2023) - [i10]Zulong Liu, Kejia Chen, Zheng Liu:
Structural Imbalance Aware Graph Augmentation Learning. CoRR abs/2303.13757 (2023) - [i9]Ke-Jia Chen, Yaming Ji, Youran Qu, Chuhan Xu:
Balancing Augmentation with Edge-Utility Filter for Signed GNNs. CoRR abs/2310.16862 (2023) - 2022
- [j19]Ke-Jia Chen, Jiajun Zhang, Linpu Jiang, Yunyun Wang, Yuxuan Dai:
Pre-training on dynamic graph neural networks. Neurocomputing 500: 679-687 (2022) - [j18]Ke-Jia Chen, Hao Lu, Zheng Liu
Heterogeneous graph convolutional network with local influence. Knowl. Based Syst. 236: 107699 (2022) - [c22]Jingqiang Chen, Chaoxiang Cai, Xiaorui Jiang, Kejia Chen:
Comparative Graph-based Summarization of Scientific Papers Guided by Comparative Citations. COLING 2022: 5978-5988 - [i8]Linsong Liu, Kejia Chen, Zheng Liu:
Collaborative Bi-Aggregation for Directed Graph Embedding. CoRR abs/2211.02232 (2022) - [i7]Kejia Chen, Yinchu Qiu, Zheng Liu:
Layer Imbalance Aware Multiplex Network Embedding. CoRR abs/2212.14540 (2022) - 2021
- [c21]Zinong Yang, Ke-Jia Chen, Jingqiang Chen:
Guwen-UNILM: Machine Translation Between Ancient and Modern Chinese Based on Pre-Trained Models. NLPCC (1) 2021: 116-128 - [i6]Jiajun Zhang, Ke-Jia Chen, Yunyun Wang:
Pre-Training on Dynamic Graph Neural Networks. CoRR abs/2102.12380 (2021) - [i5]Jie Zhang, Ke-Jia Chen, Jingqiang Chen:
GIMIRec: Global Interaction Information Aware Multi-Interest Framework for Sequential Recommendation. CoRR abs/2112.08717 (2021) - [i4]Linpu Jiang, Ke-Jia Chen, Jingqiang Chen:
Self-Supervised Dynamic Graph Representation Learning via Temporal Subgraph Contrast. CoRR abs/2112.08733 (2021) - 2020
- [j17]Zheng Liu
Collaboratively Modeling and Embedding of Latent Topics for Short Texts. IEEE Access 8: 99141-99153 (2020) - [j16]Bin Liu, Yu Qi, Ke-Jia Chen:
Sequential online prediction in the presence of outliers and change points: An instant temporal structure learning approach. Neurocomputing 413: 240-258 (2020) - [j15]Ke-Jia Chen, Pei Zhang, Zinong Yang, Yun Li:
iBridge: Inferring bridge links that diffuse information across communities. Knowl. Based Syst. 192: 105249 (2020) - [c20]Lingli Zhang
HOSENet: Higher-Order Semantic Enhancement for Few-Shot Object Detection. PRCV (2) 2020: 175-186
2010 – 2019
- 2019
- [j14]Ke-Jia Chen
Exploiting Transfer Learning With Attention for In-Domain Top-N Recommendation. IEEE Access 7: 175041-175050 (2019) - [j13]Ke-Jia Chen
On relationship formation in heterogeneous information networks: An inferring method based on multilabel learning. Stat. Anal. Data Min. 12(3): 157-167 (2019) - [c19]Zihao Wang, Ke-Jia Chen, Lingli Zhang:
A R-CNN Based Approach for Microaneurysm Detection in Retinal Fundus Images. HIS 2019: 201-212 - [c18]Yunyun Wang, Dan Zhao, Yun Li, Kejia Chen, Hui Xue:
The Most Related Knowledge First: A Progressive Domain Adaptation Method. PAKDD (Workshops) 2019: 90-102 - [c17]Pei Zhang, Ke-Jia Chen, Tong Wu:
Inferring Social Bridges that Diffuse Information Across Communities. PAKDD (2) 2019: 475-487 - [i3]Bin Liu, Yu Qi, Ke-Jia Chen:
Sequential online prediction in the presence of outliers and change points: an instant temporal structure learning approach. CoRR abs/1907.06377 (2019) - 2018
- [j12]Yunyun Wang, Jie Zhai, Yun Li, Kejia Chen, Hui Xue:
Transfer learning with partial related "instance-feature" knowledge. Neurocomputing 310: 115-124 (2018) - [c16]Zheng Liu, Kejia Chen, Yanwen Qu, Shuting Guo, Chi-Yu Liu, Chengbin Jia:
SMAS: An Investor-Oriented Social Media Analysis System for Movies. IEEE BigData 2018: 3691-3694 - [c15]Ke-Jia Chen, Kai Zhang, Xi-Lin Jiang, Yunyun Wang:
Transfer Learning with Active Queries for Relational Data Modeling Across Multiple Information Networks. ICONIP (3) 2018: 220-229 - 2017
- [j11]Xu Chen, Ke-Jia Chen:
一种改进的加权网络链接预测方法 (Improved Link Prediction Method for Weighted Networks). 计算机科学 44(10): 96-98 (2017) - [c14]Ke-Jia Chen, Shijun Xue, Yun Li, Bin Liu:
On Link Formation in Heterogeneous Information Networks: A View Based on Multi-Label Learning. ASONAM 2017: 50-53 - [c13]Gao-Jing Peng, Ke-Jia Chen, Shijun Xue, Bin Liu:
A relation prediction method based on PU learning. ISKE 2017: 1-7 - [c12]Yuanyuan Wang, Jian Zhou, Kejia Chen, Yunyun Wang, Linfeng Liu:
Water quality prediction method based on LSTM neural network. ISKE 2017: 1-5 - [c11]Bin Liu, Ke-Jia Chen:
Maximum Likelihood Estimation Based on Random Subspace EDA: Application to Extrasolar Planet Detection. SEAL 2017: 3-14 - [i2]Bin Liu, Ke-Jia Chen:
Maximum Likelihood Estimation based on Random Subspace EDA: Application to Extrasolar Planet Detection. CoRR abs/1704.05761 (2017) - [i1]Xu He, Bin Liu, Ke-Jia Chen:
iTrace: An Implicit Trust Inference Method for Trust-aware Collaborative Filtering. CoRR abs/1708.03658 (2017) - 2016
- [j10]Ke-Jia Chen, Yang Chen, Yun Li, Jingyu Han:
A supervised link prediction method for dynamic networks. J. Intell. Fuzzy Syst. 31(1): 291-299 (2016) - 2015
- [j9]Jingyu Han, Kejia Chen, Jianing Wang:
Web article quality ranking based on web community knowledge. Computing 97(5): 509-537 (2015) - [j8]Wei Ji, Yun Li, Kejia Chen, Guojing Zhou:
Local energy-based framework for feature ranking. J. Intell. Fuzzy Syst. 28(4): 1565-1575 (2015) - 2014
- [j7]Jingyu Han, Kejia Chen, Zhiming Ding, Huiping Cao
An efficient location reporting and indexing framework for urban road moving objects. Distributed Parallel Databases 32(2): 271-311 (2014) - [j6]Jingyu Han, Kejia Chen:
Ranking Wikipedia article's data quality by learning dimension distributions. Int. J. Inf. Qual. 3(3): 207-227 (2014) - [j5]Jingyu Han, Kejia Chen, Zhu Zheng, Yanying Yang:
Assessment of web article's completeness by capturing discussed topics. Int. J. Web Eng. Technol. 9(3): 247-276 (2014) - [j4]Ke-Jia Chen, Jingyu Han, Yun Li:
HALLP: A Hybrid Active Learning Approach to Link Prediction Task. J. Comput. 9(3): 551-556 (2014) - [c10]Yang Chen, Ke-Jia Chen, Yun Li:
A Link Prediction Method That Can Learn from Network Dynamics. ICDM Workshops 2014: 549-553 - 2012
- [j3]Jingyu Han, Kejia Chen, Dawei Jiang:
Probabilistically Ranking Web Article Quality Based on Evolution Patterns. Trans. Large Scale Data Knowl. Centered Syst. 6: 229-258 (2012) - [c9]Jingyu Han, Xueping Chen, Kejia Chen, Dawei Jiang:
Assessing Web Article Quality by Harnessing Collective Intelligence. DASFAA (1) 2012: 428-439 - 2011
- [c8]Jingyu Han, Xiong Fu, Kejia Chen, Chuandong Wang:
Web Article Quality Assessment in Multi-dimensional Space. WAIM 2011: 214-225 - 2010
- [j2]Ke-Jia Chen, Jean-Paul A. Barthès:
Giving Personal Assistant Agents a Case-Based Memory. Int. J. Cogn. Informatics Nat. Intell. 4(1): 45-64 (2010)
2000 – 2009
- 2008
- [c7]Gilson Yukio Sato
Following the evolution of distributed Communities of Practice. IEEE ICCI 2008: 267-276 - [c6]Ke-Jia Chen, Jean-Paul A. Barthès:
Giving an office assistant agent a memory mechanism. IEEE ICCI 2008: 402-410 - 2007
- [c5]Ke-Jia Chen, Jean-Paul A. Barthès:
Enhancing Intelligence of Personal Assistant Agent Using Memory Mechanism. CSCWD 2007: 361-365 - [c4]Ke-Jia Chen, Jean-Paul A. Barthès:
MemoPA: Intelligent Personal Assistant Agents with a Case Memory Mechanism. ICIC (2) 2007: 1357-1367 - 2006
- [j1]Zhi-Hua Zhou, Ke-Jia Chen, Hong-Bin Dai:
Enhancing relevance feedback in image retrieval using unlabeled data. ACM Trans. Inf. Syst. 24(2): 219-244 (2006) - 2004
- [c3]Zhi-Hua Zhou, Ke-Jia Chen, Yuan Jiang:
Exploiting Unlabeled Data in Content-Based Image Retrieval. ECML 2004: 525-536 - 2003
- [c2]Zhi-Hua Zhou, Min-Ling Zhang, Ke-Jia Chen:
A Novel Bag Generator for Image Database Retrieval With Multi-Instance Learning Techniques. ICTAI 2003: 565-569 - [c1]Yuan Jiang, Kejia Chen, Zhi-Hua Zhou:
SOM Based Image Segmentation. RSFDGrC 2003: 640-643
Coauthor Index
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last updated on 2024-10-28 21:14 CET by the dblp team
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