| 2023 | A Bidirectional Representation Recommendation Based On Relevance Information Enhancement To Solve User Interest Drift. Nan Wang, Kun Li, Xuefeng Jiang, Jinbao Li |
| 2023 | A Deep Reinforcement Learning-Based Pointer Scoring Network for Edge Task Scheduling. Yuqi Zhao, Delun Jiang, Bing Li, Lei Fu, Jian Wang, Duantengchuan Li |
| 2023 | A Dynamic Pricing Strategy for Load Balancing Across Multiple Edge Servers. Bing Shi, Feiyang Chen |
| 2023 | A Feature Distribution Smoothing Network Based on Gaussian Distribution for QoS Prediction. Tongxin Lu, Xiaohong Zhang, Ziliang Wang, Meng Yan |
| 2023 | A Multiple-Path Learning Neural Network Model for Code Completion. Yi Liu, Jianxun Liu, Xiangping Zhang, Haize Hu |
| 2023 | A Novel Logic-Based Adaptive Monitoring for Composite Edge Services. Deng Zhao, Zhangbing Zhou, Xiao Xue, Jin Diao, Sami Yangui, Bo Liu, Walid Gaaloul |
| 2023 | A Personalized Reinforcement Learning Summarization Service for Learning Structure from Unstructured Data. Samira Ghodratnama, Amin Beheshti, Mehrdad Zakershahrak |
| 2023 | A Programming Language Learning Service by Linking Stack Overflow with Textbooks. Jiawei Wu, Yanchun Sun, Jiaqi Zhang, Yuqi Zhou, Gang Huang |
| 2023 | A Reliable Data Transmission Service for Tiansuan Constellation. Xiaobin Xu, Qi Wang, Miaohe Niu, Juan Fang, Shangguang Wang |
| 2023 | A Trace-Log-Clusterings-Based Fault Localization Approach to Microservice Systems. Chang-Ai Sun, Tao Zeng, Wanqing Zuo, Huai Liu |
| 2023 | A Two-Stage Preference Learning Method based on Graph Neural Networks for Preference Service. Zhenhua Meng, Rongheng Lin, Budan Wu |
| 2023 | A knowledge service framework for fault diagnosis of low-earth orbit satellite constellation. Fei Teng, Yunlong Zhu, Enming Zhang, Xiaopeng Hu, Qibo Sun, Li Feng |
| 2023 | ADPal: Automatic Detection of Troubled Users in Online Service Systems via Page Access Logs. Haiyang Shen, Yun Ma, Yue Li, Xiaoling Wang, Deyu Tian, Tong Jia, Tengfei He, Shenghua Luo |
| 2023 | ASPFL: Efficient Personalized Federated Learning for Edge Based on Adaptive Sparse Training. Yuhui Jiang, Xingjian Lu, Haikun Zheng, Wei Mao |
| 2023 | AcLog: An Approach to Detecting Anomalies from System Logs with Active Learning. Chiming Duan, Tong Jia, Ying Li, Gang Huang |
| 2023 | Adaptive Service Placement for Multi-Access Edge Computing: A Formal Methods Approach. Kaustabha Ray |
| 2023 | An Approximation for Routing Planning, Mobile Charging, and Energy Sharing for Sensing Devices. Zifeng Liu, Dejun Kong, Yucen Gao, Haipeng Dai, Xiaofeng Gao, Tian He |
| 2023 | An Efficient Customized Blockchain System for Inter-Organizational Processes. Puwei Wang, Zhouxing Sun, Rui Li, Jinchuan Chen, Ping Gong, Xiaoyong Du |
| 2023 | Blockchain-Aided AI-Generated Content Services: Stackelberg Game-Based Content Caching Approach. Yijing Lin, Zhipeng Gao, Hongyang Du, Dusit Niyato |
| 2023 | Building a Decentralized Crowdsourcing System with Blockchain as a Service. Gaoyong Han, Zhiyong Feng, Yanwei Xu, Xiao Xue, Shizhan Chen |
| 2023 | CSP-RM: Reputation Management Decision Support for Crowdsourcing Service Providers. Shipeng Wang, Qingzhong Li, Lizhen Cui, Yali Jiang, Zhiqi Shen, Han Yu |
| 2023 | Catch the Intruder: Collaborative and Personalized Malware Detection By On-Device Application Fingerprinting. Amirmohammad Pasdar, Young Choon Lee, Seok-Hee Hong |
| 2023 | Combining API Patterns in Microservice Architectures: Performance and Reliability Analysis. Amine El Malki, Uwe Zdun |
| 2023 | Container Image Similarity-Aware Resource Provisioning for Serverless Edge Computing. Ao Zhou, Sisi Li, Xiao Ma, Yiran Zhang, Shangguang Wang |
| 2023 | Context-aware Inductive Graph Matrix Completion with Sentence BERT. Donghee Han, Daehee Kim, Keejun Han, Mun Yong Yi |
| 2023 | Cost-Efficient Request Bundling for O2O Home Services. Ruoshan Zang, Zhiyong Feng, Xinyue Zhou, Shizhan Chen, Xiao Xue, Hongyue Wu, Hongqi Chen |
| 2023 | Cost-effective Service Deployment and Balanced Traffic Management on Edge. Zhengzhe Xiang, Hao Yan, Yueshen Xu, Honghao Gao, Shuiguang Deng |
| 2023 | Cross-chain Transfer of Snapshot Archives for Low-overhead Peer Management in Web 3.0. Tirthankar Sengupta, Sandip Chakraborty, Shamik Sural |
| 2023 | Cross-level Relational Graph Contrastive Learning for Bundle Recommendation. Nan Wang, Jiabao Sun, Jinbao Li |
| 2023 | Data Product-Oriented Services for Data Ecosystem. Wei Emma Zhang, Perry Chen, Jian Yang, Jianwen Su, Quan Z. Sheng |
| 2023 | Decentralized Data Governance as Part of a Data Mesh Platform: Concepts and Approaches. Arif Wider, Sumedha Verma, Atif Akhtar |
| 2023 | Detecting Intents of Fake News Using Uncertainty-Aware Deep Reinforcement Learning. Zhen Guo, Qi Zhang, Qisheng Zhang, Lance M. Kaplan, Audun Jøsang, Feng Chen, Dong Hyun Jeong, Jin-Hee Cho |
| 2023 | Disentangled Hypergraph Collaborative Filtering for Social Recommendation. Xiao Liu, Shunmei Meng, Qianmu Li, Xiaolong Xu, Lianyong Qi, Wanchun Dou, Jing Zhang, Xuyun Zhang |
| 2023 | Dynamic Communications Network Linking Prediction by Disseminating Event Embedding. Han Cheng, Qian Li, Zhihong Cui, Shijun Liu, Li Pan |
| 2023 | EXTRA: Integrating External Knowledge into Multimodal Hashtag Recommendation System. Hyun-Sik Won, Su-Min Roh, Dohyun Kim, Min-Ji Kim, Huiju Kim, Kang-Min Kim |
| 2023 | Efficient Multivariate Time Series Anomaly Detection Through Transfer Learning for Large-Scale Web Services. Yongqian Sun, Minghan Liang, Zeyu Che, Dongwen Li, Tinghua Zheng, Shenglin Zhang, Pengtian Zhu, Yuzhi Zhang, Dan Pei |
| 2023 | Efficient Optimal Pick-up and Drop-off Point Recommendation for Ride-hailing Services. Detian Zhang, Lun Jin, Chunjiang Zhu, Qing Li |
| 2023 | Empowering Generative AI with Knowledge Base 4.0: Towards Linking Analytical, Cognitive, and Generative Intelligence. Amin Beheshti |
| 2023 | Energy Loss Prediction in IoT Energy Services. Pengwei Yang, Amani Abusafia, Abdallah Lakhdari, Athman Bouguettaya |
| 2023 | EvolutionSim: An Extensible Simulation Toolkit for Microservice System Evolution. Teng Wang, Xiang He, Haomai Shi, Zhongjie Wang |
| 2023 | Evolutionary Interest Representation Network for Click-Through Rate Prediction. Renjie Zhou, Zhenming Jin, Jian Wan, Jilin Zhang, Xingyu Guo, Qiang Liu |
| 2023 | Evolving Graph Contrastive Learning for Socially-aware Recommendation. Hongqi Chen, Zhiyong Feng, Shizhan Chen, Xiao Xue, Hongyue Wu, Yingchao Sun, Gaoyong Han, Yanwei Xu |
| 2023 | Exploring Logic Scoring of Preference for DoS Attack Detection in Microservice Applications. Jessica Castro, Nuno Laranjeiro, Marco Vieira |
| 2023 | ExpoEv: Enhancing Social Recommendation Service with Social Exposure and Feature Evolution. Li Ma, Zuowu Zheng, Xiuqi Huang, Zhaoxiang Zhang, Xiaofeng Gao, Jianxiong Guo, Guihai Chen |
| 2023 | Failure-Sentient Composition For Swarm-Based Drone Services. Balsam Alkouz, Athman Bouguettaya, Abdallah Lakhdari |
| 2023 | Fed4ReID: Federated Learning with Data Augmentation for Person Re-identification Service in Edge Computing. Chong Zhang, Xiao Liu, Mingrong Xiang, Aiting Yao, Xiaoliang Fan, Gang Li |
| 2023 | FedWM: Federated Crowdsourcing Workforce Management Service for Productive Laziness. Zhuan Shi, Zhenyu Yao, Liping Yi, Han Yu, Lan Zhang, Xiang-Yang Li |
| 2023 | Federated Learning on Non-iid Data via Local and Global Distillation. Xiaolin Zheng, Senci Ying, Fei Zheng, Jianwei Yin, Longfei Zheng, Chaochao Chen, Fengqin Dong |
| 2023 | Federated Learning-driven Trust Prediction for Mobile Edge Computing-based IoT Systems. Jiahui Bai, Hai Dong |
| 2023 | Freshness or Accuracy, Why Not Both? Addressing Delayed Feedback via Dynamic Graph Neural Networks. Xiaolin Zheng, Zhongyu Wang, Chaochao Chen, Feng Zhu, Jiashu Qian |
| 2023 | Functional and Structural Fusion based Web API Recommendations in Heterogeneous Networks. Xuanye Wang, Meng Xi, Jianwei Yin |
| 2023 | GMA: Graph Multi-agent Microservice Autoscaling Algorithm in Edge-Cloud Environment. Ganghao Tong, Chunyang Meng, Shijie Song, Maolin Pan, Yang Yu |
| 2023 | Generating Scenario-Centric TAP Rules for Smart Homes by Mining Historical Event Logs. Liwei Liu, Wei Chen, Tao Wang, Wei Wang, Guoquan Wu, Jun Wei |
| 2023 | H-MGSR: A Hierarchical Motif-based Graph Attention Neural Network for Service Recommendation. Xin Zheng, Guiling Wang, Jiayu Zhang, Yuqi Zhang, Nancy Wang, Jian Yu, Yanbo Han |
| 2023 | HAICO: A Monitoring and Transaction Chatbot for Distributed Analytics Workflows. Alexander Tobias Neumann, Sascha Welten, Julia Kunz, Ralf Klamma, Stefan Decker |
| 2023 | HSFL: Efficient and Privacy-Preserving Offloading for Split and Federated Learning in IoT Services. Ruijun Deng, Xin Du, Zhihui Lu, Qiang Duan, Shih-Chia Huang, Jie Wu |
| 2023 | High-Order Collaborative Filtering for Third-Party Library Recommendation. Lianrong Chen, Naidan Mei, Yingying He, Wanping Liu, Guo Zhong, Mingdong Tang |
| 2023 | IEEE International Conference on Web Services, ICWS 2023, Chicago, IL, USA, July 2-8, 2023 Claudio A. Ardagna, Boualem Benatallah, Hongyi Bian, Carl K. Chang, Rong N. Chang, Jing Fan, Geoffrey C. Fox, Zhi Jin, Xuanzhe Liu, Heiko Ludwig, Michael Sheng, Jian Yang |
| 2023 | ITS: Improved Tabu Search Algorithm for Path Planning in UAV-Assisted Edge Computing Systems. Hongyue Wu, Mengchen Wu, Wen Peng, Shizhan Chen, Zhiyong Feng |
| 2023 | Incentive-Driven Pricing Game for Multi-Edge Service Providers towards Optimal Profits. Shengye Pang, Xinkui Zhao, Jiayin Luo, Bangpeng Zheng, Jianwei Yin, Xiaolin Zheng |
| 2023 | It's a Trap! Detection and Analysis of Fake Channels on Telegram. Massimo La Morgia, Alessandro Mei, Alberto Maria Mongardini, Jie Wu |
| 2023 | Learning Context-Based Representations of Events in Complex Processes. Pedro Gamallo-Fernández, Juan Carlos Vidal, Manuel Lama |
| 2023 | Localized Knowledge Distillation Helps IoT Devices Provide High-performance Visual Services. Jinhui Yu, Chuntao Ding, Huifang Li, Yi Jin, Yidong Li |
| 2023 | MVGCL: Multi-View Graph Contrastive Learning for Service Recommendation. Guobing Zou, Shiyi Lin, Shengxiang Hu, Yanglan Gan, Bofeng Zhang, Yixin Chen |
| 2023 | Metaverse Services: The Way of Services Towards the Future. Xiaofei Xu, Quan Z. Sheng, Boualem Benatallah, Zhong Chen, Robert Gazda, Abdulmotaleb El Saddik, Munindar P. Singh |
| 2023 | Monolith Development History for Microservices Identification: a Comparative Analysis. João Lourenço, António Rito Silva |
| 2023 | NLP-based Generation of Ontological System Descriptions for Composition of Smart Home Devices. Ziyu Zhang, Yehia Elkhatib, Abdessalam Elhabbash |
| 2023 | Next POI Recommendation Based on Spatial and Temporal Disentanglement Representation. Hongjin Tao, Jun Zeng, Ziwei Wang, Min Gao, Junhao Wen |
| 2023 | On the Suitability of AI for Service-based Adaptive Supply Chains in Smart Manufacturing. Flavia Monti, Luciana Silo, Francesco Leotta, Massimo Mecella |
| 2023 | OpenDrift: Online Evolving Fraud Detection for Open-Category and Concept-Drift Transactions. Cheng Wang, Songyao Chai, Hangyu Zhu |
| 2023 | PSRMER: Proactive Services Recommendation Driven-by Multimodal Emotion Recognition. Zhizhong Liu, Guangyu Huang, Dianhui Chu, Yuhang Sun |
| 2023 | PUVAR:Minimize Idle Resource SLO Violations by Uncertainty-Aware Scheduling in Cloud Platforms. Jiawei Li, Han Zhang, Jilong Wang |
| 2023 | ParaTra: A Parallel Transformer Inference Framework for Concurrent Service Provision in Edge Computing. Fenglong Cai, Dong Yuan, Mengwei Xie, Wei He, Lanju Kong, Wei Guo, Yali Jiang, Lizhen Cui |
| 2023 | Pattern-protecting Dynamic Searchable Symmetric Encryption Based on Differential privacy. Ruizhong Du, Caixia Ma, Mingyue Li, Ziyang Zhang |
| 2023 | Personalized Repository Recommendation Service for Developers with Multi-modal Features Learning. Yueshen Xu, Yuhong Jiang, Xinkui Zhao, Ying Li, Rui Li |
| 2023 | Ponzi Scheme Detection Based on Control Flow Graph Feature Extraction. Shunhui Ji, Congxiong Huang, Pengcheng Zhang, Hai Dong, Yan Xiao |
| 2023 | ProcessGPT: Transforming Business Process Management with Generative Artificial Intelligence. Amin Beheshti, Jian Yang, Quan Z. Sheng, Boualem Benatallah, Fabio Casati, Schahram Dustdar, Hamid Reza Motahari-Nezhad, Xuyun Zhang, Shan Xue |
| 2023 | Real-Time Anonymization of Sensitive Personal Data Using a Service-Based Architecture. Fabio Giampaolo, Stefano Izzo, Stefano Siccardi, Antongiacomo Polimeno, Valerio Bellandi, Francesco Piccialli |
| 2023 | Representation Enhancement based Cold Start Model for Elastic Compute Service Recommendation. Yixuan Wu, Xingliang Wang, Siyu Deng, Fei Peng, Zhengxiong Tian, Jian Zhou, Shuiguang Deng |
| 2023 | Secure Cross-domain Medical Data Sharing based on Distributed Cloud and Blockchain Services. Jiasheng Cui, Li Duan, Wei Ni, Chao Li |
| 2023 | Seed Feature Maps-based CNN Models for LEO Satellite Remote Sensing Services. Zhichao Lu, Chuntao Ding, Shangguang Wang, Ran Cheng, Felix Juefei-Xu, Vishnu Naresh Boddeti |
| 2023 | Service Matching Based on Group Preference and Service Representation Learning for Edge Caching. Haiyan Wang, Jun Hong, Jian Luo |
| 2023 | Smart Offloading Computation-intensive & Delay-intensive Tasks of Real-time Workflows in Mobile Edge Computing. Haihong Zhu, Xiaoping Li, Long Chen, Rubén Ruiz |
| 2023 | Sustainability and Governance of Data Ecosystems. Edoardo Ramalli, Barbara Pernici |
| 2023 | TBPCS: Trustworthy Cross Department Business Process Collaboration Service Based on Blockchain. Yuehan Su, Lanju Kong, Yongqing Zheng, Lizhen Cui, Zongshui Xiao, Baochen Zhang, Xinping Min |
| 2023 | TH-SLP: Web Service Link Prediction Based on Topic-aware Heterogeneous Graph Neural Network. Qian Peng, Buqing Cao, Xiang Xie, Shanpeng Liu, Guosheng Kang, Jianxun Liu |
| 2023 | TKGF-NTP: Temporal Knowledge Graph Forecasting via Neural Temporal Point Process. Gaojie Han, Wei Chen, Xiaofang Zhang, Jiajie Xu, An Liu, Lei Zhao |
| 2023 | Task Offloading Based on Application Hit Ratio. Junna Zhang, Xinxin Wang, Chuntao Ding, Xiaoyan Zhao, Shangguang Wang |
| 2023 | Third-Party API Recommendation based on Heterogeneous Hypergraph Attention Networks. Jiajin Mai, Mingdong Tang, Fenfang Xie, Lingxiao Liao |
| 2023 | Topology-Aware Self-Adaptive Resource Provisioning for Microservices. Hao Zeng, Tao Wang, An Li, Yuewen Wu, Heng Wu, Wenbo Zhang |
| 2023 | Towards Long-term Fairness in Interactive Recommendation: A Maximum Entropy Reinforcement Learning Approach. Xiaoyu Shi, Quanliang Liu, Hong Xie, Mingsheng Shang |
| 2023 | Towards Timely Edge-assisted Video Analytics Services. Xishuo Li, Shan Zhang, Yuejiao Huang, Xiao Ma, Zhiyuan Wang, Hongbin Luo |
| 2023 | VeriReach: A Formally Verified Algorithm for Reachability Analysis in Virtual Private Cloud Networks. Zhuoruo Zhang, Jilin Hu, Chenyang Yu, Rui Chang, Yongwang Zhao |
| 2023 | Work-in-Progress-A Large-Scale Workload Forecasting Model for Containers. Zeyuan Ding, Binbin Feng, Wangyang Yu |