[TSC] Lingzhen Kong, Xiyuan Hu, Lianyong Qi, Xiaolong Xu, Yiwen Zhang, Lina Yao, Xuyun Zhang. Deep Learning to Hash for Time-aware QoS Prediction Based on VQ-VAE. IEEE Transactions on Services Computing, 2025 (CCF-A).
[MM] Yijie Yang, Lianyong Qi*, Weiming Liu, Fan Wang, Jing Du, Yuwen Liu, Xiaolong Xu*, Qiang Ni, Wanchun Dou, Xiaokang Zhou. Joint Test-time Adaptation with Refined Pseudo-labels and Latent Score Matching. ACM MM, 2025. (CCF-A).
[MM] Te Song, Lianyong Qi*, Weiming Liu, Fan Wang, Xiaolong Xu*, Hongsheng Hu, Yang Cao, Xuyun Zhang, Amin Beheshti. Boosting Guided Diffusion with Large Language Models for Multimodal Sequential Recommendation. ACM MM, 2025. (CCF-A).
[TMC] Xiaolong Xu, Yuhao Hu, Guangming Cui, Lianyong Qi*, Wanchun Dou, Zhipeng Cai. CADEC: A Combinatorial Auction for Dynamic Distributed DNN Inference Scheduling in Edge-Cloud Networks. IEEE Transactions on Mobile Computing, 2025 (CCF-A).
[ICML] Xiaolong Xu, Yibo Zhou, Haolong Xiang, Xiaoyong Li, Xuyun Zhang, Lianyong Qi*, Wanchun Dou. DocKS-RAG: Optimizing Document-Level Relation Extraction through LLM-Enhanced Hybrid Prompt Tuning. ICML, 2025 (CCF-A).
[IJCAI] Yuwen Liu, Lianyong Qi*, Xingyuan Mao, Weiming Liu, Shichao Pei, Fan Wang, Xuyun Zhang, Amin Beheshti, Xiaokang Zhou. Variational Graph Auto-Encoder driven Graph Enhancement for Sequential Recommendation. IJCAI, 2025. (CCF-A)
[IJCAI] Haodong Li, Lianyong Qi*, Weiming Liu, Xiaolong Xu, Wanchun Dou, Yang Cao, Xuyun Zhang, Amin Beheshti, Xiaokang Zhou. Balancing User-Item Structure and Interaction with Large Language Models and Optimal Transport for Multimedia Recommendation. IJCAI, 2025. (CCF-A)
[IJCAI] Hongyi Lyu, Xuyun Zhang, Hongsheng Hu, Shuo Wang, Chaoxiang He, Lianyong Qi. Fine-Grained and Efficient Self-Unlearning with Layered Iteration. IJCAI, 2025. (CCF-A)
[IJCAI] Fan Lu, Xiaolong Xu, Haolong Xiang, Lianyong Qi, Xiaokang Zhou, Fei Dai, Wanchun Dou. CLLMRec: Contrastive Learning with LLMs-based View Augmentation for Sequential Recommendation. IJCAI, 2025. (CCF-A)
[IJCAI] Yifan Zhang, Haolong Xiang, Xiaolong Xu, Zishun Rui, Xiaoyong Li, Lianyong Qi, Fei Dai. MEGAD: A Memory-Efficient Framework for Large-Scale Attributed Graph Anomaly Detection. IJCAI, 2025. (CCF-A)
[TOIS] Fan Wang, Lianyong Qi*, Weiming Liu, Bowen Yu, Jintao Chen, Yanwei Xu. Inter- and Intra- Similarity Preserved Counterfactual Incentive Effect Estimation for Recommendation Systems. ACM Transactions on Information Systems, 2025. (CCF-A).
[CVPR] Weiming Liu, Jun Dan, Fan Wang, Xinting Liao, Junhao Dong, Hua Yu, Shunjie Dong, Lianyong Qi*. Distinguish Then Exploit: Source-free Open Set Domain Adaptation via Weight Barcode Estimation and Sparse Label Assignment. CVPR, 2025. (CCF-A).
[SCIS] Fan Wang, Xuyun Zhang, Weiming Liu, Li Li, Yuwen Liu, Zhongyuan Zhang, Guanfeng Liu, Shengye Pang, Xiaolong Xu, Lianyong Qi. PerFedKG: Two-Stage Information-Loop Federated Knowledge Graph for Personalized Privacy-Preserving Recommendation Systems. SCIENCE CHINA Information Sciences, 2025. (CCF-A).
[WWW] Yuwen Liu, Lianyong Qi*, Xingyuan Mao, Weiming Liu, Fan Wang, Xiaolong Xu, Xuyun Zhang, Wanchun Dou, Xiaokang Zhou, Amin Beheshti. Hyperbolic Variational Graph Auto-Encoder for Next POI Recommendation. WWW, 2025 (CCF-A).
[WWW] Xiaolong Xu, Yuxin Cao, Hongsheng Hu, Haolong Xiang*, Lianyong Qi*, Junqun Xiong, Wanchun Dou. MGF-ESE: An Enhanced Semantic Extractor with Multi-Granularity Feature Fusion for Code Summarization. WWW, 2025 (CCF-A).
[TMC] Jintao Wu, Xiaolong Xu, Guangming Cui, Yiwen Zhang, Lianyong Qi, Wanchun Dou, Zhipeng Cai. Fairness-aware Budgeted Edge Server Placement for Connected Autonomous Vehicles. IEEE Transactions on Mobile Computing, 2025. (CCF-A).
[CIKM] Dejiang Zhang, Lianyong Qi*, Yuwen Liu, Xucheng Zhou, Jianye Xie, Haolong Xiang, Xiaolong Xu, Xuyun Zhang, Yang Cao and Yang Zhang. HRCformer: Hierarchical Recursive Convolution-Transformer with Multi-Scale Adaptive Recalibration for Time Series Forecasting. CIKM, 2025. (CCF-B).
[EMNLP] Yang Cao, Sikun Yang, Yujiu Yang, Lianyong Qi, Ming Liu. Text Anomaly Detection with Simplified Isolation Kernel. EMNLP, 2025 (CCF-B).
[DASFAA] Shiqi Ge, Shunmei Meng, Qianmu Li, Lianyong Qi, Xiaolong Xu, Xiaoxiao Chi, Xuyun Zhang. LLMGCL: Graph Contrastive Learning with Large Language Models for Recommendation. DASFAA, 2025. (CCF-B).
[ICWS] Shiqi Ge, Shunmei Meng, Jielong Zhou, Lianyong Qi, Xiaolong Xu, and Xuyun Zhang. LLMGCL: Graph contrastive learning with large language models for recommendation. ICWS, 2025. (CCF-B).
[电子学报] 许小龙, 杨威, 杨辰翊, 程勇, 齐连永*, 项昊龙, 窦万春. 车联网边缘计算环境下基于流量预测的高效任务卸载策略研究. 电子学报, 2025. (CCF-A)
[TOIS] Xiaolong Xu, Hongsheng Dong, Haolong Xiang, Xiyuan Hu, Xiaoyong Li, Xiaoyu Xia, Xuyun Zhang, Lianyong Qi, Wanchun Dou. C2lRec: Causal Contrastive Learning for User Cold-start Recommendation with Social Variable. ACM Transactions on Information Systems, 2025. (CCF-A)
[AAAI] Te Song, Lianyong Qi*, Weiming Liu, Fan Wang, Xiaolong Xu, Xuyun Zhang, Amin Beheshti, Xiaokang Zhou, Wanchun Dou. Enhancing Diffusion Model with Auxiliary Information Mining-Exploration and Efficient Sampling Mechanism for Sequential Recommendation. AAAI, 2025 (CCF-A).
[AAAI] Xiaolong Xu, Yibo Zhou, Haolong Xiang, Xiaoyong Li, Xuyun Zhang, Lianyong Qi, Wanchun Dou. NLGT: Neighborhood-based and Label-enhanced Graph Transformer Framework for Node Classification. AAAI, 2025 (CCF-A).
[AAAI] Wenwen Gong, Yangliao Geng, Dan Zhang, Yifan Zhu, Xiaolong Xu, Haolong Xiang, Amin Beheshti, Xuyun Zhang, Lianyong Qi*. DivGCL: A Graph Contrastive Learning Model for Diverse Recommendation. AAAI, 2025 (CCF-A).
[TOIS] Chaochao Chen, Yizhao Zhang, Yuyuan Li, Jun Wang, Lianyong Qi, Xiaolong Xu, Xiaoli Zheng, Jianwei Yin. Post-Training Attribute Unlearning in Recommender Systems. ACM Transactions on Information Systems, 2024. (CCF-A).
[NeurIPS] Yongzhe Jia, Xuyun Zhang, Hongsheng Hu, Kim-Kwang Raymond Choo, Lianyong Qi, Xiaolong Xu, Amin Beheshti, Wanchun Dou. DapperFL: Domain Adaptive Federated Learning with Model Fusion Pruning for Edge Devices. NeurIPS, 2024 (CCF-A).
[ICDM] Yifan Zhang, Haolong Xiang, Xuyun Zhang, Xiaolong Xu, Wei Fan, Qin Zhang, Lianyong Qi. EEiF: Efficient Isolated Forest with e Branches for Anomaly Detection. ICDM, 2024. (CCF-B).
[TSC] Lina Wang, Huan Yang, Yiran Shen, Chao Liu, Lianyong Qi, Xiuzhen Cheng, Feng Li. PDSR: A Privacy-Preserving Diversified Service Recommendation Method on Distributed Data. IEEE Transactions on Services Computing, 2024 (CCF-A).
[MM] Xingyuan Mao, Yuwen Liu, Lianyong Qi*, Li Duan, Xiaolong Xu*, Xuyun Zhang, Wanchun Dou, Amin Beheshti, Xiaokang Zhou. Cluster-driven Personalized Federated Recommendation with Interest-aware Graph Convolution Network for Multimedia. ACM MM, 2024 (CCF-A).
[CIKM] Xucheng Zhou, Yuwen Liu, Lianyong Qi*, Xiaolong Xu, Wanchun Dou, Xuyun Zhang, Yang Zhang, Xiaokang Zhou. GLFNet: Global and Local Frequency-domain Network for Long-term Time Series Forecasting. CIKM, 2024. (CCF-B).
[CIKM] Zhikang Feng, Chao Yan, Rong Jiang, Xiaolong Xu*, Xuyun Zhang, Wanchun Dou, Xiaokang Zhou, Lianyong Qi*. CHDAER: Consistent Hashing-based Data Allocation for Efficient Recommendation in Edge Environment. CIKM, 2024. (CCF-B).
[KDD] Fan Wang, Chaochao Chen, Weiming Liu, Tianhao Fan, Xinting Liao, Yanchao Tan, Lianyong Qi, Xiaolin Zheng. CE-RCFR: Robust Counterfactual Regression for Consensus-Enabled Treatment Effect Estimation. ACM SIGKDD, 2024. (CCF-A).
[IJCAI] Lianyong Qi, Yuwen Liu, Weiming Liu, Shichao Pei, Xiaolong Xu*, Xuyun Zhang, Yingjie Wang, Wanchun Dou*. Counterfactual User Sequence Synthesis Augmented with Continuous Time Dynamic Preference Modeling for Sequential POI Recommendation. IJCAI, 2024. (CCF-A).
[IJCAI] Xiaoxiao Chi, Xuyun Zhang, Yan Wang, Lianyong Qi, Amin Beheshti, Xiaolong Xu, Kim-Kwang Raymond Choo, Shuo Wang, Hongsheng Hu. Shadow-Free Membership Inference Attacks: Recommender Systems Are More Vulnerable Than You Thought. IJCAI, 2024. (CCF-A).
[SIGIR] Xiaolong Xu, Hongsheng Dong, Lianyong Qi*, Xuyun Zhang*, Haolong Xiang, Xiaoyu Xia, Yanwei Xu, Wanchun Dou. CMCLRec: Cross-modal Contrastive Learning for User Cold-Start Sequential Recommendation. ACM SIGIR, 2024. (CCF-A).
[WWW] Yuwen Liu, Lianyong Qi*, Weiming Liu, Xiaolong Xu*, Xuyun Zhang, Wanchun Dou. GraphSAGE-based POI Recommendation via Continuous-Time Modeling. ACM Web Conference (WWW), 2024. (CCF-A).
[ToN] Rong Gu, Shulin Wang, Haipeng Dai, Xiaofei Chen, Zhaokang Wang, Wenjie Bao, Jiaqi Zheng, Yaofeng Tu, Yihua Huang, Lianyong Qi, Xiaolong Xu, Wanchun Dou, Guihai Chen. Fluid-Shuttle: Efficient Cloud Data Transmission based on Serverless Computing Compression. IEEE/ACM Transactions on Networking, 2024. (CCF-A).
[JSAC] Lianyong Qi, Xiaolong Xu*, Xiaotong Wu, Qiang Ni, Yuan Yuan, Xuyun Zhang. Digital-Twin-Enabled 6G Mobile Network Video Streaming Using Mobile Crowdsourcing. IEEE Journal on Selected Areas in Communications, 2023. (CCF-A, IF = 16.4).
[TNNLS] Xiaokang Zhou, Xuzhe Zheng, Tian Shu, Wei Liang, Kevin I-Kai Wang, Lianyong Qi, Shohei Shimizu, Qun Jin. Information-Theoretic Learning Enhanced Dual Generative Adversarial Networks with Causal Representation for Robust OOD Generalization. IEEE Transactions on Neural Networks and Learning Systems, 2023. (CCF-B, IF = 10.4)
[TIST] Yuwen Liu, Xiaokang Zhou, Huaizhen Kou, Yawu Zhao, Xiaolong Xu, Xuyun Zhang, Lianyong Qi*. Privacy-Preserving Point-of-Interest Recommendation based on Simplified Graph Convolutional Network for Geological Traveling. ACM Transactions on Intelligent Systems and Technology, 2023. (IF = 5.0).
[CIKM] Xiao Liu, Shunmei Meng, Qianmu Li, Lianyong Qi, Xiaolong Xu, Wanchun Dou and Xuyun Zhang.“ SMEF: Social-aware Multi-dimensional Edge Features-based Graph Representation Learning for Recommendation”, 2023 ACM Conference on Information and Knowledge Management (CIKM), 2023. (CCF-B)
[IJCAI] Haolong Xiang, Xuyun Zhang, Hongsheng Hu, Xiaolong Xu, Lianyong Qi, Wanchun Dou, Mark Dras, Amin Beheshti. OptIForest: Optimal Isolation Forest for Anomaly Detection. IJCAI, 2023. (CCF-A).
[SIGIR] Qiang He, Siyu Tan, Feifei Chen, Xiaolong Xu, Lianyong Qi, Xinhong Hei, Albert Zomaya, Hai Jin, Yun Yang. EDIndex: Enabling Fast Data Queries in Edge Storage Systems. ACM SIGIR, 2023. (CCF-A).
[IoT-J] Ying Miao, Xiuhong Bai, Yuxuan Cao, Yuwen Liu, Fei Dai, Fan Wang, Lianyong Qi*, Wanchun Dou. A Novel Short-Term Traffic Prediction Model based on SVD and ARIMA with Blockchain in Industrial Internet of Things. IEEE Internet of Things Journal, 2023. (IF = 10.238).
[HPCC] Lianyong Qi, BoyuanYan, Jiaqi Zheng, Xiaolong Xu*, Wanchun Dou, Xiaokang Zhou, Jie Zhang. A Deep Graph Convolutional Network based Web API Classification Approach for Mashup Creation. The 25th IEEE International Conference on High Performance Computing and Communications (HPCC), 2023. (CCF-C, Best Paper Award)
[IEEE UIC'22] Bowen Liu, Wanchun Dou, Xiaokang Zhou, Xuyun Zhang, Lianyong Qi, Fei Dai, Chaochao Chen. An Intelligent Resource Scheduling Method With Edge Channel Deployment for BPM. IEEE UIC 2022. (CCF-C, Outstanding Paper Award).
[IEEE ATC'22] Yuwen Liu, Jie Zhang, Ruihan Dou, Xiaokang Zhou, Xiaolong Xu, Shoujin Wang, Lianyong Qi*. Vehicle Check-In Data-driven POI Recommendation Based on Improved SVD and Graph Convolutional Network. IEEE ATC 2022. (Best Paper Award).
[IEEE iThings'22] Lianyong Qi, Xiaoxiao Chi, Xiaokang Zhou, Qi Liu, Fei Dai, Xiaolong Xu, Xuyun Zhang. Privacy-aware Data Fusion and Prediction for Smart City Services in Edge Computing Environment. IEEE iThings 2022. (Best Paper Award).
[SIGIR'22] Wenwen Gong, Xuyun Zhang, Yifei Chen, Qiang He, Amin Beheshti, Xiaolong Xu*, Chao Yan, Lianyong Qi*. DAWAR: Diversity-aware Web APIs Recommendation for Mashup Creation based on Correlation Graph. ACM SIGIR, 2022 (CCF-A).
[TKDE] Lianyong Qi, Wenmin Lin, Xuyun Zhang, Wanchun Dou, Xiaolong Xu*, and Jinjun Chen. A Correlation Graph based Approach for Personalized and Compatible Web APIs Recommendation in Mobile APP Development. IEEE Transactions on Knowledge and Data Engineering, 2022. (CCF-A, IF = 6.977).
[TKDE] Haipeng Dai, Jun Yu, Meng Li, Wei Wang, Alex Liu, Jinghao Ma, Lianyong Qi, Guihai Chen. Bloom Filter with Noisy Coding Framework for Multi-Set Membership Testing. IEEE Transactions on Knowledge and Data Engineering, 2022. (CCF-A, IF = 6.977).
[TCBB] Lingzhen Kong, Guangshun Li, Wajid Rafique, Shigen Shen, Qiang He, Mohammad R. Khosravi, Ruili Wang, Lianyong Qi*. Time-aware Missing Healthcare Data Prediction based on ARIMA Model. IEEE/ACM Transactions on Computational Biology and Bioinformatics, 2022. (CCF-B, IF = 3.702).
[TOIT] Fan Wang, Guangshun Li, Yilei Wang, Wajid Rafique, Mohammad R. Khosravi, Guanfeng Liu, Yuwen Liu, Lianyong Qi*. Privacy-aware Traffic Flow Prediction based on Multi-party Sensor Data with Zero Trust in Smart City. ACM Transactions on Internet Technology, 2022. (CCF-B, IF = 3.135) .
[TSC] Xiaolong Xu, Hao Tian, Xuyun Zhang, Lianyong Qi*, Qiang He, Wanchun Dou. DisCOV: Distributed COVID-19 Detection on X-Ray Images with Edge-Cloud Collaboration. IEEE Transactions on Services Computing, 2022. (CCF-A, IF = 8.216).
[TII] Lianyong Qi, Yihong Yang, Xiaokang Zhou*, Wajid Rafique, Jianhua Ma. Fast Anomaly Identification Based on Multi-Aspect Data Streams for Intelligent Intrusion Detection Toward Secure Industry 4.0. IEEE Transactions on Industrial Informatics, 2022. (IF = 9.112).
[IoT-J] Lianyong Qi, Yuwen Liu, Yulan Zhang, Xiaolong Xu, Muhammad Bilal, Houbing Song. Privacy-aware Point-of-Interest Category Recommendation in Internet of Things. IEEE Internet of Things Journal, 2022. (IF = 9.471).
[ISPA'2022] Xiaolong Xu, Yiming Fei, Xiaokang Zhou, Xiaoyong Li, Yong Cheng, Lianyong Qi*, Wanchun Dou. Non-Cooperative Game for Edge Server Placement in Wireless Body Area Network. IEEE ISPA, 2022 (CCF-C, Best Paper Award).
[IEEE Smart City'2021] Linjie Gu, Xiaolong Xu, Lianyong Qi, Yiwen Zhang, Xuyun Zhang, Wanchun Dou. Cooperative Task Offloading for Internet of Vehicles in Cloud-Edge Computing. 19th IEEE International Conference on Smart City (IEEE Smart City), 2021. (Outstanding Paper Award).
[EAI Cloudcomp'2021] Baixuan Tang, Jielin Jiang, Xiaolong Xu, Lianyong Qi, Xiaokang Zhou, Yang Chen, Wanchun Dou. Triangle Coordinate Diagram Localization for Academic Literature Based on Line Segment Detection in Cloud Computing. 11th EAI International Conference on Cloud Computing (EAI CloudComp), 2021. (Best Paper Award).
[CENet'2021] Lianyong Qi, Fan Wang, Xiaolong Xu*, Wanchun Dou, Xuyun Zhang, Moham-mad R. Khosravi, Xiaokang Zhou. Time-aware Missing Traffic Flow Prediction for Sensors with Privacy-preservation. The 11th International Conference on Computer Engineering and Networks (CENet), 2021. (Outstanding Paper Award).
[IEEE CyberSciTech'2021] Zhichen Hu, Xiangben Hu, Xiaolong Xu, Lianyong Qi, Shengjun Xue, Wanchun Dou. An Information Extraction Method for Sedimentology Literature with Semantic Rules. IEEE Cyber Science and Technology Congress (IEEE CyberSciTech), 2021. (Best Paper Award).
[TPDS] Liang Yuan, Qiang He, Feifei Chen, Jun Zhang, Lianyong Qi, Xiaolong Xu, Yang Xiang, Yun Yang. CSEdge: Enabling Collaborative Edge Storage for Multi-access Edge Computing based on Blockchain. IEEE Transactions on Parallel and Distributed Systems, 2021. (CCF-A).
[TII] Chunhua Hu, Weicun Fan, Elan Zen, Zhi Hang, Fan Wang, Lianyong Qi*, Md Zakirul Alam Bhuiyan. Digital Twin-Assisted Real-time Traffic Data Prediction Method for 5G-enabled Internet of Vehicles. IEEE Transactions on Industrial Informatics, 2021. (IF = 9.112).
[Chinese Journal of Computers] Xiaolong Xu, Zijie Fang, Lianyong Qi*, Wanchun Dou, Qiang He, Yucong Duan. A Deep Reinforcement Learning-Based Distributed Service Offloading Method for Edge Computing Empowered Internet of Vehicles. Chinese Journal of Computers, 2021 (CCF-A).
[TCSS] Fan Wang, Haibin Zhu, Gautam Srivastava, Shancang Li, Mohammad R. Khosravi, Lianyong Qi* Robust Collaborative Filtering Recommendation with User-Item-Trust Records. IEEE Transactions on Computational Social Systems, 2021. (IF = 3.29).
[TOSN] Xiaolong Xu, Zijie Fang, Jie Zhang, Qiang He, Dongxiao Yu, Lianyong Qi*, Wanchun Dou. Edge Content Caching with Deep Spatiotemporal Residual Network for IoV in Smart City. ACM Transactions on Sensor Networks, 2021. (CCF-B, IF = 2.469).
[WWWJ] Lingzhen Kong, Lina Wang, Wenwen Gong, Chao Yan, Yucong Duan, Lianyong Qi*. LSH-aware Multitype Health Data Prediction with Privacy Preservation in Edge Environment. World Wide Web Journal, 2021. DOI：10.1007/s11280-021-00941-z (CCF-B, IF = 2.716).
[WWWJ] Fan Wang, Lina Wang, Guangshun Li, Yilei Wang, Chao Lv, Lianyong Qi*. Edge-Cloud-enabled Matrix Factorization for Diversified APIs Recommendation in Mashup Creation. World Wide Web Journal, 2021. DOI: 10.1007/s11280-021-00943-x (CCF-B, IF = 2.716).
[IEEE CPSCom'20] Xiaotong Wu, Xiaolong Xu, Fei Dai, Jiaquan Gao, Genlin Ji, Lianyong Qi. An Ensemble of Random Decision Trees with Personalized Privacy Preservation in Edge-Cloud Computing. 13th IEEE International Conference on Cyber, Physical and Social Computing (IEEE CPSCom), 2020 (Best Paper Award).
[SPDE'20] Datong Wu, Xiaotong Wu, Jiaquan Gao, Genlin Ji, Xiaolong Xu, Lianyong Qi, Wanchun Dou. A Personalized Preservation Mechanism Satisfying Local Differential Privacy in Location-Based Services. International Conference on Security and Privacy in Digital Economy (SPDE), 2020 (Best Paper Award).
[TOMM] Lianyong Qi, Houbing Song, Xuyun Zhang, Gautam Srivastava, Xiaolong Xu*, Shui Yu. Compatibility-aware Web API Recommendation for Mashup Creation via Textual Description Mining. ACM Transactions on Multimedia Computing, Communications, and Applications, 2020. (CCF-B, IF = 3.275).
[TII] Lianyong Qi, Chunhua Hu*, Xuyun Zhang, Mohammad R. Khosravi, Suraj Sharma, Shaoning Pang, Tian Wang. Privacy-aware Data Fusion and Prediction with Spatial-Temporal Context for Smart City Industrial Environment. IEEE Transactions on Industrial Informatics. 2020. (IF = 9.112).
[CSUR] Wajid Rafique, Lianyong Qi, Ibrar Yaqoob, Muhammad Imran, Raihan ur Rasool, Wanchun Dou. Complementing IoT Services through Software Defined Networking and Edge Computing: A Comprehensive Survey. IEEE Communications Surveys & Tutorials, 2020. (IF = 22.973).
[TCC] Lianyong Qi*, Wanchun Dou, Chunhua Hu, Yuming Zhou and Jiguo Yu. A Context-aware Service Evaluation Approach over Big Data for Cloud Applications. IEEE Transactions on Cloud Computing, 8(2): 338-348, 2020. (CCF-C, IF = 7.928).
[TBD] Lianyong Qi, Qiang He*, Feifei Chen, Xuyun Zhang, Wanchun Dou, Qiang Ni. Data-Driven Web APIs Recommendation for Building Web Applications. IEEE Transactions on Big Data, 2020. DOI: 10.1109/TBDATA.2020.2975587 (CCF-C, IF = 5.67).
[TNSE] Lianyong Qi, Xiaokang Wang*, Xiaolong Xu, Wanchun Dou, Shancang Li. Privacy-Aware Cross-Platform Service Recommendation based on Enhanced Locality-Sensitive Hashing. IEEE Transactions on Network Science and Engineering, 2020. DOI: 10.1109/TNSE.2020.2969489. (IF = 5.213).
[TCSS] Lina Wang, Xuyun Zhang, Tian Wang, Shaohua Wan, Gautam Srivastava, Shaoning Pang, Lianyong Qi*. Diversified and Scalable Service Recommendation with Accuracy Guarantee. IEEE Transactions on Computational Social Systems, 2020. (CCF-C).
[TII] Shunmei Meng, Weijia Huang, Xiaochun Yin, Mohammad Khosravi, Qianmu Li, Shaohua Wan, Lianyong Qi*. Security-aware Dynamic Scheduling for Real-time Optimization in Cloud-based Industrial Applications. IEEE Transactions on Industrial Informatics, 2020. (IF = 7.377).
[KBS] Lina Wang, Xuyun Zhang, Ruili Wang, Chao Yan, Huaizhen Kou, Lianyong Qi*. Diversified Service Recommendation with High Accuracy and Efficiency. Knowledge-Based Systems, 2020. (CCF-C, IF = 5.921).
[TCSS] Lianyong Qi, Qiang He, Feifei Chen, Wanchun Dou, Shaohua Wan, Xuyun Zhang, Xiaolong Xu. Finding All You Need: Web APIs Recommendation in Web of Things through Keywords Search. IEEE Transactions on Computational Social Systems, 6(5): 1063-1072, 2019. (CAA-A)
[TCSS] Xiaolong Xu, Qingxiang Liu, Xuyun Zhang, Jie Zhang, Lianyong Qi*, and Wanchun Dou. A Blockchain-Powered Crowdsourcing Method with Privacy Preservation in Mobile Environment. IEEE Transactions on Computational Social Systems, 2019. DOI: 10.1109/TCSS.2019.2909137. (CAA-A)
[INS] Lianyong Qi, Ruili Wang, Chunhua Hu*, Shancang Li, Qiang He, Xiaolong Xu. Time-aware Distributed Service Recommendation with Privacy-preservation. Information Sciences, 480: 354-364, 2019. (CCF-B, IF = 4.305).
[ICSOC'19] Xiaolong Xu, Yuan Xue, Lianyong Qi*, Xuyun Zhang, Shaohua Wan, Wanchun Dou*, Victor Chang. Load-aware Edge Server Placement for Mobile Edge Computing in 5G networks. The 17th International Conference on Service-Oriented Computing (ICSOC'2019), Toulouse, France, 2019. (CCF-B).
[ICWS'19] Xiaolong Xu, Shucun Fu, Lianyong Qi*, Xuyun Zhang, Wanchun Dou. A Multi-Objective Crowdsourcing Method for Mobile Video Streaming. International Conference on Web Services (ICWS'2019), Milan, Italy, 2019. (CCF-B).
[JWCN] Hanwen Liu, Huaizhen Kou, Chao Yan, Lianyong Qi*. Link prediction in Paper Citation Network to Construct Paper Correlation Graph. EURASIP Journal on Wireless Communications and Networking, 2019. DOI: 10.1186/s13638-019-1561-7. (IF = 1.592).
[SEKE'19] Hanwen Liu, Huaizhen Kou, Xiaoxiao Chi, Lianyong Qi*. Combining time, keywords and authors information to construct papers correlation graph. The 27th International Conference on Software Engineering and Knowledge Engineering (SEKE'2019), 2019. (CCF-C).
[TrustCom'19] Xiaoxiao Chi, Taorang Wu, Chao Yan, Huaizhen Kou, Lianyong Qi*. Accuracy-aware Service Recommendation with Privacy. The 18th IEEE International Conference on Trust, Security and Privacy in Computing and Communications (TrustCom'2019), 2019. (CCF-C).
[TBD] Lianyong Qi, Xiaolong Xu, Xuyun Zhang, Wanchun Dou, Chunhua Hu, Yuming Zhou, Jiguo Yu. Structural Balance Theory-based E-commerce Recommendation over Big Rating Data, IEEE Transactions on Big Data, 4(3): 301-312, 2018. (CCF-C, IF = 5.67).
[JNCA] Xiaolong Xu, Shucun Fu, Lianyong Qi*, Xuyun Zhang, Qingxiang Liu, Qiang He, Shancang Li. An IoT-Oriented Data Placement Method with Privacy Preservation in Cloud Environment. Journal of Network and Computer Applications, 124: 148-157, 2018. (CCF-C, IF = 3.991 ).
[FGCS] Lianyong Qi, Xuyun Zhang, Wanchun Dou*, Chunhua Hu, Chi Yang, Jinjun Chen. A Two-stage Locality-Sensitive Hashing Based Approach for Privacy-Preserving Mobile Service Recommendation in Cross-Platform Edge Environment. Future Generation Computer Systems, 88: 636-643, 2018. (CCF-C, IF = 4.639).
[CollaborateCom'18] Liangfu Lu, Xiaoxu Ren, Lianyong Qi*, Chenming Cui, Yichen Jiao. Target Gene Mining Algorithm Based on gSpan. The 14th EAI International Conference on Collaborative Computing: Networking, Applications and Worksharing (CollaborateCom), 2018. (CCF-C).
[ICSOC'18] Shunmei Meng, Qianmu Li, Shiping Chen, Shui Yu, Lianyong Qi, Wenmin Lin, Xiaolong Xu, Wanchun Dou. Temporal-Sparsity Aware Service Recommendation Method via Hybrid Collaborative Filtering Techniques. International Conference on Service-Oriented Computing (ICSOC), pp. 421-429, 2018. (CCF-B).
[UIC'18] Jie Zhang, Lianyong Qi, Yuan Yuan, Xiaolong Xu and Wanchun Dou. A Workflow Scheduling Method for Cloudlet Management in Mobile Cloud. International Conference on Ubiquitous Intelligence and Computing (UIC), pp. 932-937, 2018. (CCF-C).
[JSAC] Lianyong Qi*, Xuyun Zhang, Wanchun Dou* and Qiang Ni. A Distributed Locality-Sensitive Hashing based Approach for Cloud Service Recommendation from Multi-Source Data. IEEE Journal on Selected Areas in Communications, 35(11): 2616-2624, 2017. (CCF-A, IF = 8.085).
[TBD] Xuyun Zhang*, Lianyong Qi*, Wanchun Dou, Qiang He, Christopher Leckie, Kotagiri Ramamohanarao, Zoran Salcic. MRMondrian: Scalable Multidimensional Anonymisation for Big Data Privacy Preservation. IEEE Transactions on Big Data, accepted, 2017. (CCF-C, IF = 5.67)
[ITIS] Lianyong Qi*, Zhili Zhou, Jiguo Yu and Qi Liu. Data-sparsity tolerant Web Service Recommendation Approach based on Improved Collaborative Filtering. IEICE Transactions on Information and Systems, E100D (9): , 2092-2099, 2017. (IF = 0.50).
[ICWS'17] Lianyong Qi, Haolong Xiang, Wanchun Dou*, Chi Yang, Yongrui Qin and Xuyun Zhang. Privacy-preserving Distributed Service Recommendation based on Locality-Sensitive Hashing. IEEE International Conference on Web Services (ICWS), pp. 49-56, 2017. (CCF-B).
[SpaCCS'17] Lianyong Qi*, Wanchun Dou, Xuyun Zhang, Shui Yu. Amplified Locality-Sensitive Hashing for Privacy-preserving Distributed Service Recommendation. The 10th International Conference on Security, Privacy and Anonymity in Computation, Communication and Storage (SpaCCS), pp. 280-297, Guang zhou, China, 2017. (Best Paper Award ).
[CSS'17] Lianyong Qi*, Wanchun Dou, Xuyun Zhang. Two-phase Locality-Sensitive Hashing for Privacy-preserving Distributed Service Recommendation. The 9th International Symposium on Cyberspace Safety and Security (CSS'2017), pp. 176-188, Xi'an, China, 2017. (Best Paper Award).
[Computing] Lianyong Qi*, Wanchun Dou and Jinjun Chen. Weighted Principal Component Analysis-based Service Selection Method for Multimedia Services in Cloud, Computing, 98(1): 195-214, 2016. (IF = 1.654).
[ICSOC'16] Lianyong Qi*, Wanchun Dou, Xuyun Zhang. Service Recommendation based on Social Balance Theory and Collaborative Filtering, International Conference on Service Oriented Computing (ICSOC), pp. 637-645, 2016. (CCF-B).
[APSCC'16] Lianyong Qi*, Wanchun Dou, Xuyun Zhang. Combining Social Balance Theory and Collaborative Filtering for Service Recommendation in Sparse Environment, International Conference on Asia-Pacific Services Computing (APSCC), pp. 357-374, 2016.
[上海大学学报] 齐连永，窦万春*，周毓明. 一种上下文感知的E-commerce 评级大数据赋权方法, 上海大学学报(自然科学版), 22(1): 36-44, 2016. (EI)
[APSCC'15] Lianyong Qi, Xuyun Zhang, Yiping Wen and Yuming Zhou. A Social Balance Theory-based Service Recommendation Approach, International Conference on Asia-Pacific Services Computing (APSCC), pp. 48-60, 2015.
[CCBD'15] Lianyong Qi*, Xuyun Zhang, Yiping Wen, Yuming Zhou. A Context-aware Service Selection Approach based on Historical Records, International Conference on Cloud Computing and Big Data (CCBD), pp. 127-134, 2015.
[ICWS'14] Lianyong Qi*, Wanchun Dou, Jiancheng Ni, Xiaona Xia, Chunmei Ma, Jinfeng Liu. A Trust Evaluation Method for Cloud Services with Fluctuant QoS and Flexible SLA, IEEE International Conference on Web Services (ICWS), pp. 345-352, 2014. (CCF-B).
[TrustCom'14] Lianyong Qi*, Jiancheng Ni, Xiaona Xia, Chao Yan and Wanli Huang. An Evaluation Method for Web Service with Large Numbers of Historical Records, IEEE International Conference on Trust, Security and Privacy in Computing andCommunications (TrustCom), pp. 721-726, 2014. (CCF-C).
[Supercomputing] Wanchun Dou*, Lianyong Qi, Xuyun Zhang, Jinjun Chen. An Evaluation Method of Outsourcing Services for Developing An Elastic Cloud Platform, Journal of Supercomputing, 63(1): 1-23, 2013. (CCF-C, IF = 1.532)
[ServiceComputation'13] Lianyong Qi*, Xiaona Xia, Jiancheng Ni,Chunmei Ma and Yanxue Luo. A Decomposition-based Method for QoS-aware Web Service Composition with Large-scale Composition Structure, International Conference on Advanced Service Computing (ServiceComputation), pp. 81-86, 2013.
[JCSS] Lianyong Qi, Wanchun Dou*, Xuyun Zhang and Jinjun Chen. A QoS-aware Composition Method Supporting Cross-Platform Service Invocation in Cloud Environment, Journal of Computer and System Sciences, 78(5): 1316-1329, 2012. (CCF-B, IF = 1.497)
[CGC] Jiancheng Ni*, Lianyong Qi, Chao Yan. A Selection Strategy Supporting Service Outsourcing in Cloud Platform, IEEE International Conference on Cloud and Green Computing (CGC), pp. 726-729, 2012.
[CCPE] Lianyong Qi, Wenmin Lin, Wanchun Dou*, Jian Jiang and Jinjun Chen. A QoS-aware Exception Handling Method in Scientific Workflow Execution, Concurrency and Computation: Practice and Experience, 23(16): 1951-1968, 2011. (CCF-C, IF = 1.114)
[计算机集成制造系统] 齐连永, 窦万春*. 跨组织协同中基于局部服务质量优化的Web服务组合方法, 计算机集成制造系统, 17(8): 1647-1653, 2011. (EI)
[东南大学学报] 谢海军, 齐连永, 窦万春*. 基于Skyline和局部选择的启发式服务组合方法, 东南大学学报, 41(3): 449-452, 2011. (EI)
[WISM'11] Yang Rutao, Chen Qi, Qi Lianyong, Dou Wanchun*. A QoS Evaluation Method for Personalized Service Requests, International Conference on Web Information Systems and Mining (WISM), pp. 393-402, 2011.
[ICWS'10] Lianyong Qi, Ying Tang, Wanchun Dou*, Jinjun Chen. Combining Local Optimization and Enumeration for QoS-Aware Web Service Composition, IEEE International Conference on Web Services (ICWS), pp. 34-41, 2010. (CCF-B)
[HPCC'10] Lianyong Qi, Rutao Yang, Wenmin Lin, Xuyun Zhang, Wanchun Dou*, Jinjun Chen. A QoS-Aware Web Service Selection Method Based on Credibility Evaluation, International Conference on High Performance and Communications (HPCC), pp. 471-476, 2010. (CCF-C)
[CSE'10] Rutao Yang, Lianyong Qi, Wenmin Lin, Wanchun Dou*, Jinjun Chen. A Comprehensive Evaluation Method for Cross-Organizational Service Selection, IEEE International Conference on Computational Science and Engineering (CSE), pp. 357-362, 2010.
[CSE'10] Wenmin Lin, Rutao Yang, Xiaojie Si, Lianyong Qi, Wanchun Dou*. A QoS-Optimal Automatic Service Composition Method Based on Backtracking Theory, IEEE International Conference on Computational Science and Engineering (CSE), pp. 369-374, 2010.