Fast parsers for Entrez Gene. - Mingyi Liu; Andrei Grigoriev (Bioinform., 2005)

Exon-domain correlation and its corollaries. - Mingyi Liu; Shaoping Wu; Heiko Walch; Andrei Grigoriev (Bioinform., 2005)

Crossover Service Phenomenon Analysis Based on Event Evolutionary Graph. - Mingyi Liu; Zhongjie Wang; Zhiying Tu (ICSOC Workshops, 2018)

Joint Content Caching and Delivery Policy for Heterogeneous Cellular Networks. - Mingyi Liu; Yinglei Teng; Kang Cheng; Yi Man; Bin Zhang (PIMRC, 2018)

A Novel Multi-layer Network Model for Service Ecosystems. - Mingyi Liu; Zhiying Tu; Jingying Wang; Zhongjie Wang (ICSS, 2020)

Conceptual Models and Evaluation Metrics for Transboundary Service Ecosystems. - Mingyi Liu; Zhiying Tu; Hanchuan Xu; Xiaofei Xu; Zhongjie Wang 003 (ICSS, 2020)

LTP: A New Active Learning Strategy for Bert-CRF Based Named Entity Recognition. - Mingyi Liu; Zhiying Tu; Zhongjie Wang; Xiaofei Xu (CoRR, 2020)

A Data-driven Approach for Constructing Multilayer Network-based Service Ecosystem Models. - Mingyi Liu; Zhiying Tu; Xiaofei Xu; Zhongjie Wang (CoRR, 2020)

Community-Based Service Ecosystem Evolution Analysis. - Mingyi Liu; Zhiying Tu; Xiaofei Xu; Zhongjie Wang (CoRR, 2020)

A Text Mining based Method for Policy Recommendation. - Tong Zhang; Mingyi Liu; Chao Ma 017; Zhiying Tu; Zhongjie Wang (SCC, 2021)

SRaSLR: A Novel Social Relation Aware Service Label Recommendation Model. - Yeqi Zhu; Mingyi Liu; Zhiying Tu; Tonghua Su; Zhongjie Wang 001 (ICWS, 2021)

Proper imputation of missing values in proteomics datasets for differential expression analysis. - Mingyi Liu; Ashok Dongre (Briefings Bioinform., 2021)

Learning Representation over Dynamic Graph using Aggregation-Diffusion Mechanism. - Mingyi Liu; Zhiying Tu; Xiaofei Xu; Zhongjie Wang (CoRR, 2021)

External Service Sensing (ESS): Research Framework, Challenges and Opportunities. - Zhongjie Wang; Mingyi Liu; Zhiying Tu; Xiaofei Xu (CoRR, 2021)

DySR: A Dynamic Representation Learning and Aligning based Model for Service Bundle Recommendation. - Mingyi Liu; Zhiying Tu; Xiaofei Xu; Zhongjie Wang (CoRR, 2021)

Data correction and evolution analysis of the ProgrammableWeb service ecosystem. - Mingyi Liu; Zhiying Tu; Yeqi Zhu; Xiaofei Xu; Zhongjie Wang 003; Quan Z. Sheng (J. Syst. Softw., 2021)

External Service Sensing in an Uncertain World. - Mingyi Liu; Zhongjie Wang 003; Tianyu Jiang 003; Xiaofei Xu; Quan Z. Sheng; Stephan Reiff-Marganiec (COMPSAC, 2022)

TagTag: A Novel Framework for Service Tags Recommendation and Missing Tag Prediction. - Wentao Chen; Mingyi Liu; Zhiying Tu; Zhongjie Wang (ICSOC, 2022)

A Review of Power Conversion Systems and Design Schemes of High-Capacity Battery Energy Storage Systems. - Mingyi Liu; Xi Cao; Chuanzhao Cao; Pengcheng Wang; Chengrui Wang; Jie Pei; Haodong Lei; Xinyu Jiang; Rui Li 024; Jianlin Li (IEEE Access, 2022)

LTP: A New Active Learning Strategy for CRF-Based Named Entity Recognition. - Mingyi Liu; Zhiying Tu; Tong Zhang; Tonghua Su; Xiaofei Xu; Zhongjie Wang (Neural Process. Lett., 2022)

Community-based service ecosystem evolution analysis. - Mingyi Liu; Zhiying Tu; Hanchuan Xu; Xiaofei Xu; Zhongjie Wang 003 (Serv. Oriented Comput. Appl., 2022)

Backpack Energy Harvesting System With Maximum Power Point Tracking Capability. - Luigi Costanzo; Mingyi Liu; Alessandro Lo Schiavo; Massimo Vitelli; Lei Zuo (IEEE Trans. Ind. Electron., 2022)

Identifying and Removing the Ghosts of Reproducibility in Service Recommendation Research. - Tianyu Jiang 003; Mingyi Liu; Zhiying Tu; Zhongjie Wang 003 (CAiSE, 2023)

BEAR: Revolutionizing Service Domain Knowledge Graph Construction with LLM. - Shuang Yu; Tao Huang; Mingyi Liu; Zhongjie Wang (ICSOC (1), 2023)

Observation Is Reality? A Graph Diffusion-Based Approach for Service Tags Recommendation. - Shuang Yu; Qingfeng Li; Mingyi Liu; Zhongjie Wang (ICSOC (2), 2023)

Who Should I Engage with At What Time? A Missing Event Aware Temporal Graph Neural Network. - Mingyi Liu; Zhiying Tu; Xiaofei Xu; Zhongjie Wang (CoRR, 2023)

A data-driven approach for constructing multilayer network-based service ecosystem models. - Mingyi Liu; Zhiying Tu; Xiaofei Xu; Zhongjie Wang; Yan Wang 002 (Softw. Syst. Model., 2023)

DySR: A Dynamic Graph Neural Network Based Service Bundle Recommendation Model for Mashup Creation. - Mingyi Liu; Zhiying Tu; Hanchuan Xu; Xiaofei Xu; Zhongjie Wang 003 (IEEE Trans. Serv. Comput., 2023)

GSL-Mash: Enhancing Mashup Creation Service Recommendations Through Graph Structure Learning. - Sihao Liu; Mingyi Liu; Tianyu Jiang 003; Shuang Yu; Hanchuan Xu; Zhongjie Wang 003 (ICSOC (2), 2024)

LLM Enhanced Representation for Cold Start Service Recommendation. - Dunlei Rong; Lina Yao 001; Yinting Zheng; Shuang Yu; Xiaofei Xu; Mingyi Liu; Zhongjie Wang 003 (ICSOC (1), 2024)

IBC: An Integrated framework combining blockchain with BPMN choreography to enhance multi-party collaboration. - Xinzhe Shen; Zhongjie Wang 003; Jiale Luo; Haoqi Ruan; Hanchuan Xu; Mingyi Liu (ICWS, 2024)

I Experienced More than 10 DeFi Scams: On DeFi Users' Perception of Security Breaches and Countermeasures. - Mingyi Liu; Jun Ho Huh; HyungSeok Han; Jaehyuk Lee; Jihae Ahn; Frank Li 001; Hyoungshick Kim; Taesoo Kim (USENIX Security Symposium, 2024)

Design and Experimental Study of Vacuum Suction Grabbing Technology to Grasp Fabric Piece. - Ray Wai Man Kong; Mingyi Liu; Theodore Ho Tin Kong (CoRR, 2024)

A Hybrid BPMN-DMN Framework for Secure Inter-organizational Processes and Decisions Collaboration on Permissioned Blockchain. - Xinzhe Shen; Jiale Luo; Hao Wang; Mingyi Liu; Schahram Dustdar; Zhongjie Wang 003 (CoRR, 2024)

QoSGNN: Boosting QoS Prediction Performance With Graph Neural Networks. - Mingyi Liu; Hanchuan Xu; Quan Z. Sheng; Zhongjie Wang 003 (IEEE Trans. Serv. Comput., 2024)

BehaviorNet: A Fine-grained Behavior-aware Network for Dynamic Link Prediction. - Mingyi Liu; Zhiying Tu; Tonghua Su; Xianzhi Wang 001; Xiaofei Xu; Zhongjie Wang 003 (ACM Trans. Web, 2024)

Review of Lithium-Ion Battery Fault Features, Diagnosis Methods, and Diagnosis Procedures. - Jiahui Zhao; Mingyi Liu; Bin Zhang 008; Xiaolong Wang; Dawei Liu; Jianxing Wang; Panxing Bai; Chenghao Liu; Yue Sun; Yong Zhu (IEEE Internet Things J., 2024)

Who Should I Engage With at What Time? A Missing Event-Aware Temporal Graph Neural Network. - Mingyi Liu; Zhiying Tu; Xiaofei Xu; Zhongjie Wang 003 (IEEE Trans. Neural Networks Learn. Syst., 2024)

ClusterRiceNet: A novel rice seed variety classification network based on hyperspectral imaging and spectral band clustering. - Shuang Yu; Zikang Wang; Zeyu Wang; Mingyi Liu; Yongze Zhan; Shaozong Song; Zhongjie Wang 003 (Knowl. Based Syst., 2025)

AdaFlow: Learning and Utilizing Workflows for Enhanced Service Recommendation in Dynamic Environments. - Mingyi Liu; Gensheng Wu; Hanchuan Xu; Jian Wang; Xiaofei Xu; Zhongjie Wang 003 (IEEE Trans. Serv. Comput., 2025)

Improving the Energy Efficiency by Using Quasi-Passive-Dynamics-Based Elastic Actuator. - Ruigang Chen; Tongchen Lin; Yizhar Or; Mingyi Liu (IEEE Robotics Autom. Lett., 2025)