| 2023 | Combining API Patterns in Microservice Architectures: Performance and Reliability Analysis. | Amine El Malki, Uwe Zdun |
| 2023 | Third-Party API Recommendation based on Heterogeneous Hypergraph Attention Networks. | Jiajin Mai, Mingdong Tang, Fenfang Xie, Lingxiao Liao |
| 2023 | A Feature Distribution Smoothing Network Based on Gaussian Distribution for QoS Prediction. | Tongxin Lu, Xiaohong Zhang, Ziliang Wang, Meng Yan |
| 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 | Monolith Development History for Microservices Identification: a Comparative Analysis. | Joo Loureno, Antnio Rito Silva |
| 2023 | PUVAR:Minimize Idle Resource SLO Violations by Uncertainty-Aware Scheduling in Cloud Platforms. | Jiawei Li, Han Zhang, Jilong Wang |
| 2023 | Towards Timely Edge-assisted Video Analytics Services. | Xishuo Li, Shan Zhang, Yuejiao Huang, Xiao Ma, Zhiyuan Wang, Hongbin Luo |
| 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 | A Multiple-Path Learning Neural Network Model for Code Completion. | Yi Liu, Jianxun Liu, Xiangping Zhang, Haize Hu |
| 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 | PSRMER: Proactive Services Recommendation Driven-by Multimodal Emotion Recognition. | Zhizhong Liu, Guangyu Huang, Dianhui Chu, Yuhang Sun |
| 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 | Blockchain-Aided AI-Generated Content Services: Stackelberg Game-Based Content Caching Approach. | Yijing Lin, Zhipeng Gao, Hongyang Du, Dusit Niyato |
| 2023 | Ponzi Scheme Detection Based on Control Flow Graph Feature Extraction. | Shunhui Ji, Congxiong Huang, Pengcheng Zhang, Hai Dong, Yan Xiao |
| 2023 | ASPFL: Efficient Personalized Federated Learning for Edge Based on Adaptive Sparse Training. | Yuhui Jiang, Xingjian Lu, Haikun Zheng, Wei Mao |
| 2023 | Context-aware Inductive Graph Matrix Completion with Sentence BERT. | Donghee Han, Daehee Kim, Keejun Han, Mun Yong Yi |
| 2023 | Building a Decentralized Crowdsourcing System with Blockchain as a Service. | Gaoyong Han, Zhiyong Feng, Yanwei Xu, Xiao Xue, Shizhan Chen |
| 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 | Detecting Intents of Fake News Using Uncertainty-Aware Deep Reinforcement Learning. | Zhen Guo, Qi Zhang, Qisheng Zhang, Lance M. Kaplan, Audun Jsang, Feng Chen, Dong Hyun Jeong, Jin-Hee Cho |
| 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 | A Personalized Reinforcement Learning Summarization Service for Learning Structure from Unstructured Data. | Samira Ghodratnama, Amin Beheshti, Mehrdad Zakershahrak |
| 2023 | Learning Context-Based Representations of Events in Complex Processes. | Pedro Gamallo-Fernndez, Juan Carlos Vidal, Manuel Lama |
| 2023 | Pattern-protecting Dynamic Searchable Symmetric Encryption Based on Differential privacy. | Ruizhong Du, Caixia Ma, Mingyue Li, Ziyang Zhang |
| 2023 | AcLog: An Approach to Detecting Anomalies from System Logs with Active Learning. | Chiming Duan, Tong Jia, Ying Li, Gang Huang |
| 2023 | Work-in-Progress-A Large-Scale Workload Forecasting Model for Containers. | Zeyuan Ding, Binbin Feng, Wangyang Yu |