Back

Accepted Papers

IEEE JCC 2024

Full Papers:

  • Chenhui Ji, Dingji Li, Zeyu Mi, Yubin Xia, Prometheus Migrate: Efficient Live Migration of Confidential Virtual Machine with Software Abstraction
  • Jinghao Wang, Guangzu Wang, Tianyu Wo, Xu Wang, Renyu Yang, RESCAPE: Resource Estimation System for Microservices with Graph Neural Network and Profile Engine
  • Yaojie Li, Peichang Shi, Jianfei Liu, Rui Li, Fei Gao, Penghui Ma, Dong Xie, Guodong Yi, DCSA: The Deployment Mechanism of Chained Serverless Applications in JointCloud Environment
  • Junchen Li, Yang Zhang, Kele Xu, Tao Wang, Huaimin Wang, Understanding the Challenges of Data Management in the AI Application Development
  • Antonios Makris, Ioannis Kontopoulos, Stylianos Nektarios Xyalis, Evangelos Psomakelis, Theodoros Theodoropoulos, Andreas Varvarigos, Konstantinos Tserpes, A Study on the Performance of Distributed Storage Systems in Edge Computing Environments
  • Chang Deng, Zheyun Shen, Dingji Li, Zeyu Mi, Yubin Xia, The Design and Optimization of Memory Ballooning in SEV Confidential Virtual Machines
  • Rui Li, Huaimin Wang, Peichang Shi, Bi-Objective Scheduling Algorithm for Hybrid Workflow in JointCloud
  • Jie Wang, Huanxi Liu, Dawei Feng, Bo Ding, FP4-Quantization: Lossless 4bit Quantization for Large Language Models

Short papers:

  • Jiacheng Yang, Guodong Yi, Fei Gao, Peichang Shi, Huaimin Wang, Fairness-Aware AI-Workloads Allocation Considering Multidimensional User Demands in JointCloud
  • Chao Wang, Suzhen Pei, Jiawei Ding, Tianyu Zhong, Binbin Wu, IBCM: An IoT Solution for Building Collapse Monitoring in Smart Cities
  • Rasha Kadhem, Mazin S. Mohammed, Souheyl Mallat, Mounir Zrigui, A recommendation system based on the semantic content using Arabic texts
  • Vasiliki Liagkou, Evangelia Filiopoulou, George Fragiadakis, Mara Nikolaidou, Christos Michalakelis, The cost perspective of adopting Large Language Model-as-a-Service
  • Hoa Tran-Dang, Dong-Seong Kim, Parallel Computation in Dynamic Fog Computing Networks: A Multi-Armed Bandit Learning-based Decentralized Matching Approach
  • Weiyu Peng, Jinghao Wang, Tianyu Wo, Renyu Yang, Precision Probe: Non-intrusive Performance Analysis Tool for Deep Learning Recommendation Training Jobs
IEEE SOSE 2024

Full Papers:

  • Yashwant Singh Patel and Paul Townend, A stable matching approach to Energy Efficient and Sustainable Serverless Scheduling for the Green Cloud Continuum
  • Paul Pinter, Andrea Morichetta and Schahram Dustdar, Distributed Model Serving for Real-time Opinion Detection
  • Anna Lackinger, Andrea Morichetta and Schahram Dustdar, Time Series Predictions for Cloud Workloads: A Comprehensive Evaluation
  • Sandro Speth, Niklas Meißner, Steffen Becker and Uwe Breitenbücher, State of the Art and Challenges of Issue Management for Component-based and Service-Oriented Systems: An Empirical Study
  • Boris Sedlak, Víctor Casamayor Pujol, Praveen Kumar Donta and Schahram Dustdar, Diffusing High-level SLO in Microservice Pipelines
  • Patrick Herbke, Sid Lamichhane, Kaustabh Barman, Sanjeet Raj Pandey, Axel Küpper, Andreas Abraham and Markus Sabadello, DIDChain: Advancing Supply Chain Data Management with Decentralized Identifiers and Blockchain

Short Papers:

  • Xiaolin Hu, Mingxi Yan, Tony Derado, Wei Zhao, Bernard Zeigler, Doohwan Kim and Chungman Seo, WIP: Towards Cloud-based Wildland Fire Simulation Service
  • Sebastian Böhm and Guido Wirtz, Towards an API-driven Approach for Universal and Lightweight Cloud-Edge Orchestration
  • Kaustabh Barman, Patrick Herbke, Elias Safo and Luca Janssen, Blockchain-Enabled Verifiable Receipt Credentials for Traceability in EV Battery Supply Chains
IEEE BigDataService 2024

Full papers

  • Vani Bhat, Sree Divya Cheerla, Jinu Rose Mathew, Nupur Pathak and Zeyu Gao, Retrieval Augmented Generation (RAG) based Restaurant Chatbot with AI Testability
  • Neeraj Kulkarni, Katerina Potika and Petros Potikas, Learning to Play the Trading Game: Exploring Reinforcement Learning-Based Stock Trading Bots
  • Christos Chronis, Iraklis Varlamis, Dimitrios Michail, Konstantinos Tserpes and Georgios Dimitrakopoulos, From Perception to Action: Leveraging LLMs and Scene Graphs for Intuitive Robotic Task Execution
  • Navaneeth Sai Nidadavolu and William Andreopoulos, Resume Content Generation Using Llama 2
  • Jerry Gao, Mahavir Chandaliya, Teja Sree Goli and Swapna Kotha, UAV-Based Powerline Problem Inspection and Classification using Machine Learning Approaches
  • Pranav Chellagurki, Sai Prasanna Kumar Kumaru, Rahul Raghava Peela, Neeharika Yeluri, Carlos Rojas and Jorjeta Jetcheva, Biomedical Relation Extraction using LLMs and Knowledge Graphs
  • Zhong Chen, Adaptive Sparse Online Learning through Asymmetric Truncated Gradient
  • Emeka Ndupuechi and Christian Beecks, Fault Detection in Transmission Production Lines Based on Imbalanced Multivariate Time Series
  • Andrew Selvia, Ankur Singh and Wencen Wu, Vehicular Traffic Flow Prediction via Decentralized Federated Meta-Learning

Short Papers

  • Hirofumi Shimoe and Hiroyuki Fujioka, Selecting Attractive Images from 3D Captures of Buddhist Statues Using Grad-CAM++
  • Mayank Choudhary and Naveen Chauhan, Deep Learning Based Skin Lesion Segmentation and Classification
  • Amir Hamza, Yassine Himeur and Abbes Amira, Predicting Asthma Attacks Through AI-Powered Thermal Imaging Analysis of Breathing Patterns
  • Edoardo Canti, Enrico Collini, Luciano Alessandro Ipsaro Palesi and Paolo Nesi, Comparing techniques for TEmporal eXplainable Artificial Intelligence
  • Sana Bellili, Abdelmalik Ouamane, Ammar Chouchane, Yassine Himeur, Shadi Atalla, Wathiq Mansoor and Hussain Al Ahmad, Very Low-Resolution Face Recognition Based On Multilinear Side-Information based Discriminant Analysis
  • Jikang Zhao and Yancong Deng, Stock Market Prediction Based on Time Series Data and Multimodal Sentiments
  • Yourui Shao, An Accurate Classification Method of Competitive Math Problems
  • Shaopeng Xie, Research on Named Entity Recognition Method Based on BERT Model
  • Chengzu Dong, Zhiyu Xu, Qin Wang, Qi An, Shantanu Pal, Frank Jiang, Shiping Chen and Xiao Liu, Blockchain-Enabled NFTs as Certificates for Smart UAV Delivery Systems
  • Sarvadnya Bhatlawande, Vikas Nandeshwar and Safalya Satpute, Comparative Analysis of Feature Descriptors and Classifiers for Real-Time Object Detection

Poster

  • Lidan Liu, Florence Tydeman, Wangqing Xie and Yanzhong Wang, Multilingual Depression Detection Based on Speech Signals and Deep Learning
  • Mohsen Azararjmand, Amir Masoud Eftekhari Moghadam and Mohammad Hossein Rezvani, multi-label data stream classification using Heterogeneous ensemble learning
  • Pranav Yadav, Mudit Choubisa, Anuj Shukla and Dr. Radhika R Cardiac, Pulse Monitoring through Multi-Scale Spectrum Filtering
  • Beilei Zhu Zhu and Chandrasekar Vuppalapati, Enhancing Supply Chain Efficiency through Retrieve-Augmented Generation Approach in Large Language Models
IEEE DAPPS 2024

Full Papers:

  • Michael Sober, Markus Levonyak, and Stefan Schulte, Efficient Cross-Blockchain Token Transfers with Rollback Support
  • Fernando Spadea and Oshani Seneviratne, Support and Scandals in GameFi DApps: A Network Analysis of The Sandbox Transactions
  • Maurantonio Caprolu, Roberto Di Pietro, Flavio Lombardi, and Elia Onofri, Characterizing Polkadot’s Transactions Ecosystem: methodology, tools, and insights
  • Rui Pan, Zeshun Shi, Adam Belloum, and Zhiming Zhao, Operating ZKPs on Blockchain: A Performance Analysis Based on Hyperledger Fabric
  • Imane El Abid and Yahya Benkaouz, A Comparative Analysis of Blockchain Redaction Techniques

Short Papers:

  • Linh Tran, Sanjay Chari, Md. Saikat Islam Khan, Aaron Zachariah, Stacy Patterson, and Oshani Seneviratne, A Differentially Private Blockchain-Based Approach for Vertical Federated Learning
  • Daewoong Cho, Gowri Ramachandran, Raja Jurdak, and Salil Kanhere, ProfitMax: Optimizing Blockchain Mining for Energy Efficiency and Profitability
  • Di Zhang, Youzhou Zhou, Hengyan Liu, Bintao Hu, and Wenzhang Zhang, Optimal Settings for Cryptocurrency Trading Pairs
  • Felix Hoops and Florian Matthes, A Middleware Architecture for Self-Sovereign Identity Authentication and Authorization
  • Valerian Callens, Zeeshan Meghji, and Jan Gorzny, Temporarily Restricting Solidity Smart Contract Interactions
  • Manish Adhikari, Feng Wang, Chung-Chih Li, Guang Cheng, and Yongning Tang, SDT: Towards a Blockchain-Based Secure Data Trading Application
  • Huy Hai Nguyen, Tung Trinh, Binh Minh Nguyen, Duc Tran, and Thang Nguyen, Entity Detection in EVM-based Blockchain Networks using Machine Learning

Posters:

  • Shuntaro Tanaka and Baptiste Alcade, Rebalancing Threshold Strategy with Trend Following Against Impermanent Loss
  • Hanno Cornelius, Sergei Tikhomirov, Simon Pierre Vivier, Alvaro Revuelta, and Aaryamann Challani, The Waku Network as Infrastructure for dApps
IEEE AI Test 2024

Full Papers:

  • Hans-Werner Wiesbrock and Jürgen Grossmann, Outline of an Independent Systematic Blackbox Test for ML Systems
  • Zesheng Chen, Jack Li and Chao Chen, MEH-FEST-NA: An Ensemble Defense System Against Adversarial Attacks in Speaker Verification Systems
  • Muyeed Ahmed and Iulian Neamtiu, Quantifying the Vulnerability of Anomaly Detection Implementations to Nondeterminism-based Attacks
  • Nicolas Grube, Mozhdeh Massah, Michael Tebbe, Paul Wancura, Hans-Werner Wiesbrock, Jürgen Grossmann and Sami Kharma, On a systematic test of ML-based systems: Experiments on test statistics
  • Sunny Shree, Yu Lei, Raghu Kacker and Richard Kuhn, Proxima: A Proxy Model-Based Approach to Influence Analysis
  • Pranav Yadav, Mudit Choubisa, Anuj Shukla and Radhika R, Cardiac Pulse Monitoring through Multi-Scale Spectrum Filtering
  • Florian Klück, Daniel Sumann and Franz Wotawa, Utilizing Genetic Algorithms for Generating Critical Scenarios for Testing Autonomous Driving Functions
  • Herbert Mühlburger and Franz Wotawa FaultLines, Evaluating the Efficacy of Open-Source Large Language Models for Fault Detection in Cyber-Physical Systems
  • Jing Shu, Bingjiun Miu, Eugene Chang, Jerry Gao, and Jun Liu , Computer Vision Intelligence Test Modeling and Generation: Smart OCR Mobile App Testing Experience for Image-based Receipts
  • Debalina Ghosh Paul, Hong Zhu and Ian Bayley, ScenEval: A Benchmark for Scenario-Based Evaluation of Code Generation

Short Papers:

  • Priyan Malarvizhi Kumar, Wael Korani, Bharat Rawal and Jeeva Selvaraj, A Comprehensive Penetration Security Testing Framework for IoT Based Healthcare Devices in Decentralised Environment
  • Mahdi Farzandway and Fatemeh Ghassemi, SpecNLP: A Pre-trained Model Enhanced with Spectrum Profile for Bug Localization
  • Harshvardhan Patil, Kirti Digholkar, Sumit Kawale, Onkar Swami and Tanmay Bonde, Youth YANA (You Are Not Alone) Mental Health Consulting Web-Application
IEEE FITYR 2024

Full Papers

  • Tirumala Saiteja Goruganthu, Harish Marepalli, Sowjanya Bheemineni, Reshma Chowdary Bobba, David Wang, Shakshi Richhariya, Jerry Gao, and Jun Liu. Building an AI-Based Surveillance Drone Cloud Platform.
  • Li Liu, An Zhang, Wenhao Bi and Zhanjun Huang. An LSTM-based Target Tracking Method for High-mobility UAV under Incomplete Information Conditions.
  • Yanlong Han, Qiucen Fan, Wenhao Bi and An Zhang. Research on Optimization Method of Civil Aircraft Design Activities under Generalized Precedence Relations.
  • Shengran He, Yifan Yin, Yeling Jiang and Hao Fan. Dense 3D Reconstruction with Fusing Structure from Motion and Dynamic Photometric Stereo.
  • Tong Ning, Zhiyuan Zhang and Hao Fan. An Efficient EKF-Based Visual Inertial Odometry Using Both Point and Line Features.
  • Ka Nam Canaan Law, Mingshuo Yu, Lianglei Zhang, Yiyi Zhang, Peng Xu, Jerry Gao and Jun Liu. Enhancing Printed Circuit Board Defect Detection through Ensemble Learning.
  • Zhuozheng Wang, Yihan Wang, Xixi Zhao, Jingru Song, Gang Wang and Lei Feng. A Novel Depression Detection Model Based on Hybrid Neural Network.
  • Han Li, Zheng Dang, Xuemei Ma and Pengxiang Zhao. Hydrogen Nanobubbles Enhance Sensitivity of Drug-Resistant Cancer Cells.
  • Shanghai Yi, Yi Fang, Xudong Sun and Zhenkun Li. Magnetic Control of 4D Printing Materials and Soft Robotics Research.
  • Ziyi Liu, Xujuan Zhang, Zheng Dang, Xiaohu Wen, Shihao Jiang, Xuemei Ma and Pengxiang Zhao. Research on Magnesium-Based Hydrogen Storage Materials Promoting the Activity of Keratinocyte Formation and Epithelialization Process.

Short Papers

  • Xingkai Guan, An Zhang, Sihan Yao, Wenhao Bi and Zhanjun Huang. Meta-Path Guided Heterogeneous Social Occasion Service Composition Embedding Based on BERT.
  • Zhuozheng Wang, Yunlong Wang, Xixi Zhao, Xiaofan Zhou, Gang Wang and Lei Feng. Depression Detection and Recognition Research Based on Audio Analysis and Artificial Intelligence Algorithms.
  • Xudong Sun, Jinfeng Huang, Yi Fang, Yifei Guo, Shanghai Yi and Zhenkun Li. FDM-based magnetically enhanced 3D printing of plastic materials.
  • Zeyi Chen and Zhenkun Li. Rheological study of a 4D printed magnetic soft material based on neodymium-iron-boron.

IEEE BigDataService 2024

Full papers

  • Vani Bhat, Sree Divya Cheerla, Jinu Rose Mathew, Nupur Pathak and Zeyu Gao, Retrieval Augmented Generation (RAG) based Restaurant Chatbot with AI Testability
  • Neeraj Kulkarni, Katerina Potika and Petros Potikas, Learning to Play the Trading Game: Exploring Reinforcement Learning-Based Stock Trading Bots
  • Christos Chronis, Iraklis Varlamis, Dimitrios Michail, Konstantinos Tserpes and Georgios Dimitrakopoulos, From Perception to Action: Leveraging LLMs and Scene Graphs for Intuitive Robotic Task Execution
  • Navaneeth Sai Nidadavolu and William Andreopoulos, Resume Content Generation Using Llama 2
  • Jerry Gao, Mahavir Chandaliya, Teja Sree Goli and Swapna Kotha, UAV-Based Powerline Problem Inspection and Classification using Machine Learning Approaches
  • Pranav Chellagurki, Sai Prasanna Kumar Kumaru, Rahul Raghava Peela, Neeharika Yeluri, Carlos Rojas and Jorjeta Jetcheva, Biomedical Relation Extraction using LLMs and Knowledge Graphs
  • Zhong Chen, Adaptive Sparse Online Learning through Asymmetric Truncated Gradient
  • Emeka Ndupuechi and Christian Beecks, Fault Detection in Transmission Production Lines Based on Imbalanced Multivariate Time Series
  • Andrew Selvia, Ankur Singh and Wencen Wu, Vehicular Traffic Flow Prediction via Decentralized Federated Meta-Learning

Short Papers

  • Hirofumi Shimoe and Hiroyuki Fujioka, Selecting Attractive Images from 3D Captures of Buddhist Statues Using Grad-CAM++
  • Mayank Choudhary and Naveen Chauhan, Deep Learning Based Skin Lesion Segmentation and Classification
  • Amir Hamza, Yassine Himeur and Abbes Amira, Predicting Asthma Attacks Through AI-Powered Thermal Imaging Analysis of Breathing Patterns
  • Edoardo Canti, Enrico Collini, Luciano Alessandro Ipsaro Palesi and Paolo Nesi, Comparing techniques for TEmporal eXplainable Artificial Intelligence
  • Sana Bellili, Abdelmalik Ouamane, Ammar Chouchane, Yassine Himeur, Shadi Atalla, Wathiq Mansoor and Hussain Al Ahmad, Very Low-Resolution Face Recognition Based On Multilinear Side-Information based Discriminant Analysis
  • Jikang Zhao and Yancong Deng, Stock Market Prediction Based on Time Series Data and Multimodal Sentiments
  • Yourui Shao, An Accurate Classification Method of Competitive Math Problems
  • Shaopeng Xie, Research on Named Entity Recognition Method Based on BERT Model
  • Chengzu Dong, Zhiyu Xu, Qin Wang, Qi An, Shantanu Pal, Frank Jiang, Shiping Chen and Xiao Liu, Blockchain-Enabled NFTs as Certificates for Smart UAV Delivery Systems
  • Sarvadnya Bhatlawande, Vikas Nandeshwar and Safalya Satpute, Comparative Analysis of Feature Descriptors and Classifiers for Real-Time Object Detection

Poster

  • Lidan Liu, Florence Tydeman, Wangqing Xie and Yanzhong Wang, Multilingual Depression Detection Based on Speech Signals and Deep Learning
  • Mohsen Azararjmand, Amir Masoud Eftekhari Moghadam and Mohammad Hossein Rezvani, multi-label data stream classification using Heterogeneous ensemble learning
  • Pranav Yadav, Mudit Choubisa, Anuj Shukla and Dr. Radhika R Cardiac, Pulse Monitoring through Multi-Scale Spectrum Filtering
  • Beilei Zhu Zhu and Chandrasekar Vuppalapati, Enhancing Supply Chain Efficiency through Retrieve-Augmented Generation Approach in Large Language Models