Indexing of Moving Objects on Road Network Using Composite Structure. - Jun Feng 001; Jiamin Lu; Yuelong Zhu; Naoto Mukai; Toyohide Watanabe (KES (2), 2007)

Index Method for Tracking Network-Constrained Moving Objects. - Jun Feng 001; Jiamin Lu; Yuelong Zhu; Toyohide Watanabe (KES (2), 2008)

Improved partition method for tracking moving objects in road networks. - Jun Feng 001; Jiamin Lu; Yuelong Zhu; Toyohide Watanabe (Int. J. Adv. Intell. Paradigms, 2008)

Parallel Secondo: Boosting Database Engines with Hadoop. - Jiamin Lu; Ralf Hartmut Güting (ICPADS, 2012)

Parallel SECONDO: Practical and efficient mobility data processing in the cloud. - Jiamin Lu; Ralf Hartmut Güting (IEEE BigData, 2013)

Simple and efficient coupling of Hadoop with a database engine. - Jiamin Lu; Ralf Hartmut Güting (SoCC, 2013)

Parallel SECONDO: A practical system for large-scale processing of moving objects. - Jiamin Lu; Ralf Hartmut Güting (ICDE, 2014)

Parallel SECONDO: scalable query processing in the cloud for non-standard applications. - Ralf Hartmut Güting; Jiamin Lu (ACM SIGSPATIAL Special, 2014)

Parallel SECONDO: processing moving objects data at large scale. - Jiamin Lu (2014)

Efficient Filter and Refinement for the Hadoop-Based Spatial Join. - Jiamin Lu; Ralf Hartmut Güting; Jun Feng 001 (MSN, 2016)

RH: An improved AMH aggregate query method. - Zhixian Tang; Jun Feng 001; Zhonghua Zhu; Yaqing Shi; Jiamin Lu (Intell. Autom. Soft Comput., 2016)

Secure Framework for Future Smart City. - Hamza Djigal; Jun Feng 001; Jiamin Lu (CSCloud, 2017)

Research on Faceted Search Method for Water Data Catalogue Service. - Jun Feng 001; Shengqiu Kong; Bingshuai Du; Jiamin Lu (CSCloud, 2017)

CPE: a cloud server performance evaluation model. - Jun Feng 001; Lixia Zhang; Jiamin Lu; Bin Xu (IMCOM, 2017)

Collaborative filtering algorithm based on rating distance. - Yi Liu; Jun Feng 001; Jiamin Lu (IMCOM, 2017)

Continuous Skyline Queries for Moving Objects in Road Network based on MSO. - Bin Xu; Jun Feng 001; Jiamin Lu (IMCOM, 2018)

Task Scheduling for Heterogeneous Computing using a Predict Cost Matrix. - Hamza Djigal; Jun Feng 001; Jiamin Lu (ICPP Workshops, 2019)

Novel Approach for Multi-valued Truth Discovery. - Jun Feng 001; Ju Chen; Jiamin Lu (IMCOM, 2019)

A Probabilistic Range Query of Moving Objects in Road Network. - Yaqing Shi; Song Huang; Jun Feng 001; Jiamin Lu (IEEE Access, 2019)

Urban Street Cleanliness Assessment Using Mobile Edge Computing and Deep Learning. - Pengcheng Zhang 001; Qi Zhao; Jerry Gao 002; Wenrui Li 002; Jiamin Lu (IEEE Access, 2019)

A Novel Hierarchical Topic Model for Horizontal Topic Expansion With Observed Label Information. - Xi Zou; Yuelong Zhu; Jun Feng 001; Jiamin Lu; Xiaodong Li 007 (IEEE Access, 2019)

FP-ExtVP: Accelerating Distributed SPARQL queries by Exploiting Load-adaptive Partitioning. - Jiamin Lu; Cheng Yang; Bingfa Wang; Jun Feng 001 (IEEE BigData, 2020)

Performance Evaluation of Security-Aware List Scheduling Algorithms in IaaS Cloud. - Hamza Djigal; Jun Feng 001; Jiamin Lu (CCGRID, 2020)

OnRL: improving mobile video telephony via online reinforcement learning. - Huanhuan Zhang; Anfu Zhou; Jiamin Lu; Ruoxuan Ma; Yuhan Hu; Cong Li; Xinyu Zhang 003; Huadong Ma; Xiaojiang Chen (MobiCom, 2020)

Cross-modal Retrieval of Archives based on Principal Affinity Representation. - Xiaoqing Yang; Yuelong Zhu; Jun Feng 001; Jiamin Lu (CCCI, 2021)

FEE: An Event Extraction Model for Flood and Drought Disaster Based on Sequence Labeling. - Zulong Ma; Jiamin Lu; Wei Wu; Jun Feng 001 (CRC, 2021)

Distant Supervision Relation Extraction via Reinforcement Learning with Potential Energy Function. - Tao Zhang; Jun Feng 001; Jiamin Lu (CSSE, 2021)

Semantic-based Bidirectional Adversarial Neural Topic Model. - Zulong Ma; Jiamin Lu; Jun Feng 001; Yunfei Zhang; Wei Wu (ICTAI, 2021)

Incorporating Proportional Sparse Penalty for Causal Structure Learning. - Yunfeng Wang; Yuelong Zhu; Tingting Hang; Jun Feng 001; Jiamin Lu (ICTAI, 2021)

Efficient Subgraph Pruning & Embedding for Multi-Relation QA over Knowledge Graph. - Jiamin Lu; Zixuan Zhang; Xiaoqing Yang; Jun Feng 001 (IJCNN, 2021)

IPPTS: An Efficient Algorithm for Scientific Workflow Scheduling in Heterogeneous Computing Systems. - Hamza Djigal; Jun Feng 001; Jiamin Lu; Jidong Ge (IEEE Trans. Parallel Distributed Syst., 2021)

Arsenal: Understanding Learning-Based Wireless Video Transport via In-Depth Evaluation. - Huanhuan Zhang; Anfu Zhou; Ruoxuan Ma; Jiamin Lu; Huadong Ma (IEEE Trans. Veh. Technol., 2021)

SSPR: A Skyline-Based Semantic Place Retrieval Method. - Jiamin Lu; Zhenyu Zhou; Jiahao Liu; Jun Feng 001 (ICONIP (1), 2022)

CGPM: Poverty Mapping Framework Based on Multi-Modal Geographic Knowledge Integration and Macroscopic Social Network Mining. - Zhao Geng; Ziqing Gao; Tsai Chihsu; Jiamin Lu (ECML/PKDD (5), 2022)

Fast detection of cannibalism behavior of juvenile fish based on deep learning. - He Wang; Song Zhang; Shili Zhao; Jiamin Lu; Yang Wang 099; Daoliang Li; Ran Zhao (Comput. Electron. Agric., 2022)

A lightweight dead fish detection method based on deformable convolution and YOLOV4. - Shili Zhao; Song Zhang; Jiamin Lu; He Wang; Yu Feng 014; Chen Shi; Daoliang Li; Ran Zhao (Comput. Electron. Agric., 2022)

Joint extraction of entities and relations using multi-label tagging and relational alignment. - Tingting Hang; Jun Feng 001; Le Yan; Yunfeng Wang; Jiamin Lu (Neural Comput. Appl., 2022)

Effect of Lower Limb Exoskeleton Robot on Walking Function of Stroke Patients. - Yuean Yang; Jiamin Lu (ICIRA (3), 2023)

Dealing with negative samples with multi-task learning on span-based joint entity-relation extraction. - Chenguang Xue; Jiamin Lu (CoRR, 2023)

Heterogeneous Entity Matching with Complex Attribute Associations using BERT and Neural Networks. - Shitao Wang; Jiamin Lu (CoRR, 2023)

Towards an Automatic AI Agent for Reaction Condition Recommendation in Chemical Synthesis. - Kexin Chen 003; Junyou Li; Kunyi Wang; Yuyang Du 001; Jiahui Yu; Jiamin Lu; Lanqing Li; Jiezhong Qiu; Qun Fang; Pheng-Ann Heng; Guangyong Chen (CoRR, 2023)

Incorporating Normalized L1 Penalty and Eigenvalue Constraint for Causal Structure Learning. - Yunfeng Wang; Yuelong Zhu; Tingting Hang; Jiamin Lu; Jun Feng 001 (Int. J. Artif. Intell. Tools, 2023)

DNN-Schedule: A Predictive Scheduler for Minimizing Interference of Co-located DNN Workload. - Jiamin Lu; Hengquan Mei; Jingwei Sun 001; Guangzhong Sun (Bench, 2024)

An Improved Semantic Place Retrieval Method by Learning-based Clustering. - Jiamin Lu; Jiahao Liu; Zhendong Fan; Zhenyu Zhou; Xu Kong; Jun Feng 001 (DSIT, 2024)

APS-LSTM: Exploiting Multi-Periodicity and Diverse Spatial Dependencies for Flood Forecasting. - Jun Feng 001; Xueyi Liu; Jiamin Lu; Pingping Shao (SMC, 2024)

A review of digital twin capabilities, technologies, and applications based on the maturity model. - Yang Liu; Jun Feng 001; Jiamin Lu; Siyuan Zhou (Adv. Eng. Informatics, 2024)

Data-driven and knowledge-guided denoising diffusion model for flood forecasting. - Pingping Shao; Jun Feng 001; Jiamin Lu; Pengcheng Zhang 001; Chenxin Zou (Expert Syst. Appl., 2024)

Interpretable spatial-temporal attention convolutional network for rainfall forecasting. - Pingping Shao; Jun Feng 001; Pengcheng Zhang 001; Jiamin Lu (Comput. Geosci., 2024)