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Jiamin Lu
Publications
- 2023
- [j12]Yunfeng Wang, Yuelong Zhu, Tingting Hang, Jiamin Lu, Jun Feng:
Incorporating Normalized L1 Penalty and Eigenvalue Constraint for Causal Structure Learning. Int. J. Artif. Intell. Tools 32(5): 2360008:1-2360008:26 (2023) - 2022
- [j9]Tingting Hang, Jun Feng, Le Yan, Yunfeng Wang, Jiamin Lu:
Joint extraction of entities and relations using multi-label tagging and relational alignment. Neural Comput. Appl. 34(8): 6397-6412 (2022) - [c25]Jiamin Lu, Zhenyu Zhou, Jiahao Liu, Jun Feng:
SSPR: A Skyline-Based Semantic Place Retrieval Method. ICONIP (1) 2022: 331-342 - 2021
- [j8]Hamza Djigal, Jun Feng, Jiamin Lu, Jidong Ge:
IPPTS: An Efficient Algorithm for Scientific Workflow Scheduling in Heterogeneous Computing Systems. IEEE Trans. Parallel Distributed Syst. 32(5): 1057-1071 (2021) - [c23]Xiaoqing Yang, Yuelong Zhu, Jun Feng, Jiamin Lu:
Cross-modal Retrieval of Archives based on Principal Affinity Representation. CCCI 2021: 1-5 - [c22]Zulong Ma, Jiamin Lu, Wei Wu, Jun Feng:
FEE: An Event Extraction Model for Flood and Drought Disaster Based on Sequence Labeling. CRC 2021: 314-321 - [c21]Tao Zhang, Jun Feng, Jiamin Lu:
Distant Supervision Relation Extraction via Reinforcement Learning with Potential Energy Function. CSSE 2021: 61-66 - [c20]Yunfeng Wang, Yuelong Zhu, Tingting Hang, Jun Feng, Jiamin Lu:
Incorporating Proportional Sparse Penalty for Causal Structure Learning. ICTAI 2021: 105-112 - [c19]Zulong Ma, Jiamin Lu, Jun Feng, Yunfei Zhang, Wei Wu:
Semantic-based Bidirectional Adversarial Neural Topic Model. ICTAI 2021: 376-380 - [c18]Jiamin Lu, Zixuan Zhang, Xiaoqing Yang, Jun Feng:
Efficient Subgraph Pruning & Embedding for Multi-Relation QA over Knowledge Graph. IJCNN 2021: 1-8 - 2020
- [c17]Jiamin Lu, Cheng Yang, Bingfa Wang, Jun Feng:
FP-ExtVP: Accelerating Distributed SPARQL queries by Exploiting Load-adaptive Partitioning. IEEE BigData 2020: 543-550 - [c16]Hamza Djigal, Jun Feng, Jiamin Lu:
Performance Evaluation of Security-Aware List Scheduling Algorithms in IaaS Cloud. CCGRID 2020: 330-339 - 2019
- [j6]Yaqing Shi, Song Huang, Jun Feng, Jiamin Lu:
A Probabilistic Range Query of Moving Objects in Road Network. IEEE Access 7: 40165-40174 (2019) - [j4]Xi Zou, Yuelong Zhu, Jun Feng, Jiamin Lu, Xiaodong Li:
A Novel Hierarchical Topic Model for Horizontal Topic Expansion With Observed Label Information. IEEE Access 7: 184242-184253 (2019) - [c14]Hamza Djigal, Jun Feng, Jiamin Lu:
Task Scheduling for Heterogeneous Computing using a Predict Cost Matrix. ICPP Workshops 2019: 25:1-25:10 - [c13]Jun Feng, Ju Chen, Jiamin Lu:
Novel Approach for Multi-valued Truth Discovery. IMCOM 2019: 1015-1028 - 2018
- [c12]Bin Xu, Jun Feng, Jiamin Lu:
Continuous Skyline Queries for Moving Objects in Road Network based on MSO. IMCOM 2018: 53:1-53:6 - 2017
- [c11]Jun Feng, Shengqiu Kong, Bingshuai Du, Jiamin Lu:
Research on Faceted Search Method for Water Data Catalogue Service. CSCloud 2017: 70-75 - [c10]Hamza Djigal, Jun Feng, Jiamin Lu:
Secure Framework for Future Smart City. CSCloud 2017: 76-83 - [c9]Jun Feng, Lixia Zhang, Jiamin Lu, Bin Xu:
CPE: a cloud server performance evaluation model. IMCOM 2017: 60 - [c8]Yi Liu, Jun Feng, Jiamin Lu:
Collaborative filtering algorithm based on rating distance. IMCOM 2017: 66 - 2016
- [j3]Zhixian Tang, Jun Feng, Zhonghua Zhu, Yaqing Shi, Jiamin Lu:
RH: An improved AMH aggregate query method. Intell. Autom. Soft Comput. 22(4): 667-673 (2016) - [c7]Jiamin Lu, Ralf Hartmut Güting, Jun Feng:
Efficient Filter and Refinement for the Hadoop-Based Spatial Join. MSN 2016: 313-319 - 2008
- [j1]Jun Feng, Jiamin Lu, Yuelong Zhu, Toyohide Watanabe:
Improved partition method for tracking moving objects in road networks. Int. J. Adv. Intell. Paradigms 1(2): 139-150 (2008) - [c2]Jun Feng, Jiamin Lu, Yuelong Zhu, Toyohide Watanabe:
Index Method for Tracking Network-Constrained Moving Objects. KES (2) 2008: 551-558 - 2007
- [c1]Jun Feng, Jiamin Lu, Yuelong Zhu, Naoto Mukai, Toyohide Watanabe:
Indexing of Moving Objects on Road Network Using Composite Structure. KES (2) 2007: 1097-1104
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