Edge Intelligence
[TMC] Niu, Z., Dong, H., Qin, A. K., Gu, T., Zhang, P.: Energy and Memory-Efficient Federated Learning with Ordered Layer Freezing. IEEE Transactions on Mobile Computing. Accepted (CORE-A*, CCF-A, JCR-5%, SJR-5%) Preprint Link
[TNNLS] Xu, C., Sohrabi, N., Qu, Y., Dong, H., Tari, Z., Yi, X.: DSPFL: A Deep-Layer Sign Sharing Personalized Federated Learning Scheme for Mitigating Poisoning Attacks. IEEE Transactions on Neural Networks and Learning Systems. 37(1) (January 2026) pp. 67-81 (CORE-A*, JCR-5%, SJR-5%) Link
[TSC] Pu, J., Fu, X., Dong, H., Zhang, P., Liu, L.: Dynamic Adaptive Federated Learning on Local Long-Tailed Data. IEEE Transactions on Services Computing. 17(6) (December 2024) pp. 3485-3498 (CORE-A*, CCF-A, JCR-Q1, SJR-10%) Preprint Link
[TSC] Jin, H., Zhang, P., Dong, H., Bouguettaya, A., Zomaya, A.: Swift and Accurate Mobility-Aware QoS Forecasting for Mobile Edge Environments. IEEE Transactions on Services Computing. 17(6) (December 2024) pp. 4340-4353 (CORE-A*, CCF-A, JCR-Q1, SJR-10%) Preprint Link
[TMC] Niu, Z., Dong, H., Qin, A. K., Gu, T.: FLrce: Resource-Efficient Federated Learning with Early-Stopping Strategy. IEEE Transactions on Mobile Computing. 23(12) (December 2024) pp. 14514-14529 (CORE-A*, CCF-A, JCR-5%, SJR-5%) Preprint Link
[TNSM] Ji, S., Li, J., Jin, H., Wei, T., Dong, H., Zhang, P., Bouguettaya, A.: Space-Time-Aware Proactive QoS Monitoring for Mobile Edge Computing. IEEE Transactions on Network and Service Management. 21(5) (October 2024) pp.5662-5676 (JCR-Q1, SJR-Q1) Preprint Link
[TMC] Jin, H., Zhang, P., Dong, H., Wei, X., Zhu, Y., Gu, T.: Mobility-Aware and Privacy-Protecting QoS Optimization in Mobile Edge Networks. IEEE Transactions on Mobile Computing. 23(2) (February 2024) pp.1169-1185. (CORE-A*, CCF-A, JCR-5%, SJR-5%) Preprint Link
[TSC] Abeysekara, P., Dong, H., Qin, A. K.: Edge Intelligence for Real-Time IoT Service Trust Prediction. IEEE Transactions on Services Computing. 16(4) (July 2023) pp.2606-2619 (CORE-A*, CCF-A, JCR-Q1, SJR-10%) Preprint Link
[TSC] Jin, H., Zhang, P., Dong, H., Zhu, Y., Bouguettaya, A.: Privacy-Aware Forecasting of Quality of Service in Mobile Edge Computing. IEEE Transactions on Services Computing. 16(1) (February 2023) pp.478-492 (CORE-A*, CCF-A, JCR-Q1, SJR-10%) Preprint Link
[TSC] Abeysekara, P., Dong, H., Qin, A. K.: Data-driven Trust Prediction in Mobile Edge Computing-Based IoT Systems. IEEE Transactions on Services Computing. 16(1) (February 2023) pp.246-260 (CORE-A*, CCF-A, JCR-Q1, SJR-10%) Preprint Link
[TSC] Zhang, P., Jin, H., Dong, H., Song, W., Bouguettaya, A.: Privacy-Preserving QoS Forecasting in Mobile Edge Environments. IEEE Transactions on Services Computing. 15(2) (April 2022) pp.1103-1117 (CORE-A*, CCF-A, JCR-Q1, SJR-10%) Preprint Link
[TCC] Zhang, P., Zhang, Y., Dong, H., Jin, H.: Mobility and Dependence-Aware QoS Monitoring in Mobile Edge Computing. IEEE Transactions on Cloud Computing. 9(3) (September 2021) pp.1143-1157. (JCR-Q1, SJR-10%) Preprint Link
[ICLR] Niu, Z., Dong, H., Qin, A. K.: Bridging Generalization Gap of Heterogeneous Federated Clients Using Generative Models. The 14th International Conference on Learning Representations (ICLR 2026) (April 2026) (CORE-A*, CCF-A) Link
[MM] Zhang, X., Bao, Z., Dong, H., Wang, Z., Liu, J.: Querying Autonomous Vehicle Point Clouds: Enhanced by 3D Object Counting with CounterNet. The 33rd ACM International Conference on Multimedia (ACM MM 2025) (October 2025) (CORE-A*, CCF-A) Preprint Link
[AAAI] Niu, Z., Dong, H., Qin, A. K.: FedSPU: Personalized Federated Learning for Resource-constrained Devices with Stochastic Parameter Update. The 39th Annual AAAI Conference on Artificial Intelligence (AAAI 2025) (Oral) (February 2025) (CORE-A*, CCF-A) Preprint Link
[WACV] Zhang, X., Wang, Z., Dong, H., Bao, Z., Liu, J.: On-the-Fly Representative Point Selection for Object Detection in Point Cloud: A Two-Phase Downsampling Approach. IEEE/CVF Winter Conference on Applications of Computer Vision 2025 (WACV 2025) (February 2025) (CORE-A) Link
[ICWS] Bai, J., Dong, H.: Federated Learning-driven Trust Prediction for Mobile Edge Computing-Based IoT Systems. The 2023 IEEE International Conference on Web Services (IEEE ICWS 2023) (July 2023) (CORE-A) Preprint Link
[ICSOC] Wei, T., Zhang, P., Dong, H., Jin, H., Bouguettaya, A.: Mobility-Aware Proactive QoS Monitoring for Mobile Edge Computing. The 20th International Conference on Service-Oriented Computing (ICSOC 2022) (November 2022) (CORE-A) Preprint Link
[ICWS] Jin, H., Zhang, P., Dong, H.: Multivariate QoS Monitoring in Mobile Edge Computing based on Bayesian Classifier and Rough Set. The 2020 IEEE International Conference on Web Services (IEEE ICWS 2020) (October 2020) (CORE-A, Acceptance Rate: 18%) Preprint Link
[ICWS] Jin, H., Zhang, P., Dong, H.: Security-Aware QoS Forecasting in Mobile Edge Computing based on Federated Learning. The 2020 IEEE International Conference on Web Services (IEEE ICWS 2020) (October 2020) (CORE-A, Acceptance Rate: 18%) Preprint Link
[IJCNN] Abeysekara, P., Dong, H., Qin, A. K.: Distributed Machine Learning for Predictive Analytics in Mobile Edge Computing Based IoT Environments. The 2020 International Joint Conference on Neural Networks (IJCNN 2020) (July 2020) (CORE-A) Preprint Link
[ICWS] Abeysekara, P., Dong, H., Qin, A. K.: Machine Learning-Driven Trust Prediction for MEC-Based IoT services. The 2019 IEEE International Conference on Web Services (IEEE ICWS 2019) (July 2019) (CORE-A) Preprint Link
Blockchain
[TOSEM] Zhang, P., Wang, X., Tong, Y., Dong, H., Xiao, Y., Ji, S.: Bytecode Obfuscation for Smart Contracts via Structural and Semantic Perturbation. ACM Transactions on Software Engineering and Methodology. Accepted (CORE-A*, CCF-A, JCR-10%, SJR-10%) Link
[TOSEM] Wang, B., Tong, Y., Ji, S., Dong, H., Luo, X., Zhang, P.: A Review of Learning-based Smart Contract Vulnerability Detection: A Perspective on Code Representation. ACM Transactions on Software Engineering and Methodology. Accepted (CORE-A*, CCF-A, JCR-10%, SJR-10%) Link
[BCRA] Wang, X., Tong, Y., Dong, H., Wang, B., Xiao, Y., Zhang, P.: Enhancing Smart Contract Vulnerability Detection via Dual-Source Feature Extraction and Fusion. Blockchain: Research and Applications. Accepted. (JCR-Q1, SJR-Q1) Link
[ESWA] Wang, B., Tong, Y., Yang, G., Wang, X., Dong, H., Xiao, Y., Zhang, P.: Context-Aware Smart Contract Comment Generation Using Information Retrieval and Scenario-Driven Chain-of-Thought. Expert Systems with Applications. 318 (July 2026) 132048 (JCR-10%, SJR-5%) Link
[ESWA] Tai, C., Jin, H., Wang, Q., Dong, H., Zhang, P.: Budget-Constrained Workflow Scheduling Using Task Prediction in Hybrid Environments. Expert Systems with Applications. 312 (May 2026) 131436 (JCR-10%, SJR-5%) Link
[JNCA] Rehman, Z., Gondal, I., Dong, H., Gregory, M. A., and Ge, M.: A Robust Eclipse Attack Detection Framework for Ethereum Networks. Journal of Network and Computer Applications. 246 (February 2026) 104416 (CORE-A, JCR-5%, SJR-10%) Link
[TR] Chu, H., Zhang, P., Dong, H., Xiao, Y., Ji, S.: DeepFusion: Smart Contract Vulnerability Detection Via Deep Learning and Data Fusion. IEEE Transactions on Reliability. 74(3) (September 2025) pp. 3544-3558 (CORE-A, JCR-Q1, SJR-10%) Preprint Link
[JPDC] Pakana, F., Sohrabi, N., Dong, H., Tari, Z.: ERT: Data Placement based on Estimated Response Time for P2P Storage Systems. Journal of Parallel and Distributed Computing. 197 (March 2025) 105022 (CORE-A, JCR-Q1, SJR-Q1) Link
Rehman, Z., Gregory, M. A., Gondal, I., Dong, H., and Ge, M.: Eclipse Attacks in Blockchain Networks: Detection, Prevention, and Future Directions. IEEE Access. 13 (January 2025) pp. 25918-25933 (SJR-Q1) Link
[TSE] Zhang, P., Wang, B., Luo, X., Dong, H.: SCAnoGenerator: Automatic Anomaly Injection for Ethereum Smart Contracts. IEEE Transactions on Software Engineering. 50(11) (November 2024) pp. 2983-3006 (CORE-A*, CCF-A, JCR-10%, SJR-10%) Preprint Link
[FGCS] Yang, X., Wang, H., Huang, Y., Chen, Z., Yi, X., Dong, H., Yang, X.: Estimation of Realized Volatility of Cryptocurrencies Using CEEMDAN-RF-LSTM. Future Generation Computer Systems. 158 (September 2024) pp.219-229 (CORE-A, JCR-10%, SJR-10%) Link
Ji, S., Gong, J., Dong, H., Zhang, P., Zhu, S.: IABC-TCG: Improved Artificial Bee Colony Algorithm Based Test Case Generation for Smart Contracts. Journal of Software: Evolution and Process. 36(12), e2719 (August 2024) Link
Chu, H., Zhang, P., Dong, H., Xiao., Y., Ji, S.: SGDL: Smart Contract Vulnerability Generation via Deep Learning. Journal of Software: Evolution and Process. 36(12), e2712 (July 2024) Link
[TSE] Zhang, P., Yu, Q., Xiao, Y., Dong, H., Luo, X., Wang, X., Zhang M.: BiAn: Smart Contract Source Code Obfuscation. IEEE Transactions on Software Engineering. 49(9) (September 2023) pp.4456-4476 (CORE-A*, CCF-A, JCR-10%, SJR-10%) Preprint Link
[IST] Chu, H., Zhang, P., Dong, H., Xiao, Y., Ji, S., Li, W.: A Survey on Smart Contract Vulnerabilities: Data Sources, Detection and Repair. Information and Software Technology. 159 (July 2023) 107221 (CORE-A, JCR-Q1, SJR-Q1) Preprint Link
[TR] Ji, S., Zhu, S., Zhang, P., Dong, H., Yang, J.: Test Case Generation for Data Flow Testing of Smart Contracts Based on Improved Genetic Algorithm. IEEE Transactions on Reliability. 72(1) (March 2023) pp.358-371 (CORE-A, JCR-Q1, SJR-10%) Preprint Link
[ESORICS] Ren, P., Dong, H., Tari, Z., Zhang, P.: Efficient and Secure Sleepy Model for BFT Consensus. The 30th European Symposium on Research in Computer Security (ESORICS 2025) (September 2025) (CORE-A, Acceptance Rate: 16%) Preprint Link
[ICBC] Wijayakoon, C., Dong, H., Bandara, H.M.N.D., Tari, Z., Soin, A.: Legal Compliance Evaluation of Smart Contracts Generated By Large Language Models. The 2025 IEEE International Conference on Blockchain and Cryptocurrency (IEEE ICBC 2025) (June 2025) (Best Paper Award) Preprint Link
[ICWS] Ji, S., Huang, C., Zhang, P., Dong, H.: Ponzi Scheme Detection Based on Control Flow Graph Feature Extraction. The 2023 IEEE International Conference on Web Services (IEEE ICWS 2023) (July 2023) (CORE-A) Preprint Link
[APSEC] Ji, S., Zhu, S., Zhang, P., Dong, H.: Data Flow Reduction Based Test Case Generation for Smart Contracts. The 29th Asia-Pacific Software Engineering Conference (APSEC 2022) (December 2022) Link
[APSEC] Yu, Q., Zhang, P., Dong, H., Xiao, Y., Ji, S.: Bytecode Obfuscation for Smart Contracts. The 29th Asia-Pacific Software Engineering Conference (APSEC 2022) (December 2022) Preprint Link
[APSEC] Wang, B., Chu, H., Zhang, P., Dong, H.: Smart Contract Vulnerability Detection Using Code Representation Fusion. The 28th Asia-Pacific Software Engineering Conference (APSEC 2021) (December 2021) Preprint Link
[White Paper] Xu, C., Dong, H., Soharbi, N., Tari, Z.: Green Bitcoin Whitepaper: Energy Efficient, Work Useful, Scalable, and Green Blockchain, Green Bitcoin Foundation (December 2022) Link
AI Security
[TOSEM] Ji, S., Li, Y., Xiao, Y., Dong, H., Hu, L., Zhang, P.: SparseTG-GS: Test Case Generation via Sparse Perturbation Group. ACM Transactions on Software Engineering and Methodology. Accepted (CORE-A*, CCF-A, JCR-10%, SJR-10%) Link
[STVR] Xiao, M., Zhang, P., Dong, H., Xiao, Y., Ji, S.: HGA: Heuristic Black-box Test Case Generation for NLP Intelligent Software. Software Testing, Verification & Reliability. 36 (1-2) (January 2026) e70018 Link
[TOSEM] Ji, S., Huang, C., Ren, B., Dong, H., Grunske, L., Zhang, P.: TAEFuzz: Automatic Fuzzing for Image-based Deep Learning Systems via Transferable Adversarial Examples. ACM Transactions on Software Engineering and Methodology. 34(7) (August 2025) Article 200, pp. 1-31 (CORE-A*, CCF-A, JCR-10%, SJR-10%) Link
[TIFS] Cai, H., Zhang, P., Dong, H., Xiao, Y., Koffas, S., Li, Y.: Towards Stealthy Backdoor Attacks against Speech Recognition via Elements of Sound. IEEE Transactions on Information Forensics & Security. 19 (May 2024) pp.5852-5866 (CORE-A, CCF-A, JCR-Q1, SJR-1%) Preprint Link
[STVR] Cai, H., Zhang, P., Dong, H., Grunske, L., Ji, S., Yuan, T.: Adversarial Example-Based Test Case Generation for Black-box Speech Recognition Systems. Software Testing, Verification & Reliability. 33(5) (July 2023) e1848 Link
[TSE] Zhang, P., Ren, B., Dong, H., Dai, Q.: CAGFuzz: Coverage-Guided Adversarial Generative Fuzzing Testing for Image-based Deep Learning Systems. IEEE Transactions on Software Engineering. 48(11) (November 2022) pp. 4630-4646 (CORE-A*, CCF-A, JCR-10%, SJR-10%) Preprint Link
[ICME] Ji, S., Zhang, X., Xiao, M., Dong, H., Shen, Y., Zhang, P.: Improving Adversarial Transferability on Vision Transformers via Attention and Feature Disruption. The IEEE International Conference on Multimedia & Expo 2026 (ICME 2026) (July 2026) (CORE-A)
[IJCNN] Ji, S., Zhang, X., Li, Y., Dong, H., Shen, Y., Zhang, P.: Gradient Correlation Whitening and Wavelet Packet Decomposition Based Transferable Adversarial Attacks on Vision Transformers. The 2026 International Joint Conference on Neural Networks (IJCNN 2026) (June 2026)
[COMPSAC] Zhang, M., Ji, S., Cai, H., Dong, H., Ji, S., Zhang, P.: Audio Steganography Based Backdoor Attack for Speech Recognition Software. The 48th IEEE Computer Society Signature Conference on Computers, Software, and Applications (COMPSAC 2024) (July 2024) Link
[COMPSAC] Ji, S., Li, Y., Dong, H., Xiao, M., Zhang, P., Zhang, M.: Gradient-Guided Test Case Generation for Image Classification Software. The 48th IEEE Computer Society Signature Conference on Computers, Software, and Applications (COMPSAC 2024) (July 2024) Link
[ASE] Xiao, M., Xiao, Y., Dong, H., Ji, S., Zhang, P.: LEAP: Efficient and Automated Test Method for NLP Software. The 38th IEEE/ACM International Conference on Automated Software Engineering (ASE 2023) (September 2023) (CORE-A*, CCF-A) Preprint Link
Service-Oriented Computing
[Book] Mistry, S., Bouguettaya, A., Dong, H.: Economic Models for Managing Cloud Services. Springer. (February 2018) Link
[TSC] Jin, H., Ge, Z., Dong, H., Zhang, P., Zhou, J., Xiao, F., Bouguettaya, A.: Privacy-Preserving Service Migration for Multi-User Metaverse Environments. IEEE Transactions on Services Computing. Accepted (CORE-A*, CCF-A, JCR-Q1, SJR-10%) Link
[TSC] Wang, Q., Jin, H., Tai, C., Dong, H., Zhang, P.: Interactive Fast Computation Offloading and Resource Allocation: A Joint Optimization Approach for Metaverse Applications. IEEE Transactions on Services Computing. Accepted (CORE-A*, CCF-A, JCR-Q1, SJR-10%) Link
[TSC] Zhang, J., Wang, X., Yuan, P., Dong, H., Zhang, P., Tari, Z.: Dependency-Aware Task Offloading based on Application Hit Ratio. IEEE Transactions on Services Computing. 17(6) (December 2024) pp. 3373-3386 (CORE-A*, CCF-A, JCR-Q1, SJR-10%) Preprint Link
[TSC] Zhang, X., Huang, S., Dong, H., Bao, Z., Liu, J., Yi, X.: Optimized Edge Node Allocation Considering User Delay Tolerance for Cost Reduction. IEEE Transactions on Services Computing. 17(6) (December 2024) pp. 4055-4068 (CORE-A*, CCF-A, JCR-Q1, SJR-10%) Preprint Link
[TSC] Aamir, T., Dong, H., Bouguettaya, A.: Social-Sensor Composition for Tapestry Scenes. IEEE Transactions on Services Computing. 5(2) (April 2022) pp.1059-1073 (CORE-A*, CCF-A, JCR-Q1, SJR-10%) Preprint Link
[TSC] Zhang, P., Jin, H., Dong, H., Song, W.: M-BSRM: Multivariate BayeSian Runtime QoS Monitoring using Point Mutual Information. IEEE Transactions on Services Computing. 15(1) (February 2022) pp.484-497 (CORE-A*, CCF-A, JCR-Q1, SJR-10%) Preprint Link
[TSC] Zhang, P., Wang, L., Dong, H., Song, W.: LA-LMRBF: Online and Long-Term Web Service QoS Forecasting. IEEE Transactions on Services Computing. 14(6) (November 2021) pp.1809-1823 (CORE-A*, CCF-A, JCR-Q1, SJR-10%) Link
[FGCS] Sun, L., Dong, H., Hussain, O., Hussain F., Liu, A.X.: A Framework of Cloud Service Selection with Criteria Interactions. Future Generation Computer Systems. 94 (May 2019) pp.749-764. (CORE-A, JCR-10%, SJR-10%) Link
[TSC] Mistry, S., Bouguettaya, A., Dong, H., Qin, A.K.: Metaheuristic Optimization for Long-Term IaaS Service Composition. IEEE Transactions on Services Computing. 11(1) (January/February 2018) pp.131-143. (CORE-A*, CCF-A, JCR-Q1, SJR-10%) Preprint Link
[CACM] Bouguettaya, A., Singh, M., Huhns, M., Sheng, Q. Z., Dong, H., Yu, Q., Neiat, A. G., Mistry, S., Benatallah, B., Medjahed, B., Ouzzani, M., Casati, F., Liu, X., Wang, H., Georgakopoulos, D., Chen, L., Nepal, S., Malik, Z., Erradi, A., Wang, Y., Blake, B., Dustdar, S., Leymann, F., Papazoglou, M.: A Service Computing Manifesto: The Next Ten Years. Communications of the ACM 60(4) (April 2017) pp. 64-72 (JCR-5%, SJR-10%) Preprint Link
[TSC] Ye, Z., Mistry, S., Bouguettaya, A., Dong, H.: Long-Term QoS-Aware Cloud Service Composition using Multivariate Time Series Analysis. IEEE Transactions on Services Computing 9(3) (May/June 2016) pp. 382-393 (Spotlight article in the TSC May/June 2016 issue, CORE-A*, CCF-A, JCR-Q1, SJR-10%) Preprint Link
[FGCS] Sun, L., Ma, J., Zhang, Y., Dong, H., Hussain, F.K.: Cloud-FuSeR: Fuzzy Ontology and MCDM Based Cloud Service Selection. Future Generation Computer Systems 57(April 2016) pp. 42-55 (CORE-A, JCR-10%, SJR-10%) Preprint Link
Dong, H., Hussain, F.K.: Service-Requester-Centered Service Selection and Ranking Model for Digital Transportation Ecosystems. Computing 97(1) (January 2015) pp. 79-102. (CORE-A) Preprint Link
[JNCA] Sun, L., Dong, H., Hussain, F.K., Hussain, O.K., Chang, E.: Cloud Service Selection: State-of-the-Art and Future Research Directions. Journal of Network and Computer Applications 45 (October 2014) pp. 134-150. (One of the most downloaded JNCA articles in 2014, CORE-A, JCR-5%, SJR-10%) Preprint Link
[TII] Dong, H., Hussain, F.K.: Self-Adaptive Semantic Focused Crawler for Mining Services Information Discovery. IEEE Transactions on Industrial Informatics 10(2) (May 2014) pp. 1616-1626 (CORE-A, JCR-5%, SJR-5%) Preprint Link
[CCPE] Dong, H., Hussain, F.K.: SOF: A Semi-Supervised Ontology-Learning-Based Focused Crawler. Concurrency and Computation: Practice and Experience 25(12) (August 2013) pp. 1755-1770 (CORE-A) Preprint Link
[CCPE] Dong, H., Hussain, F.K., Chang, E.: Semantic Web Service Matchmakers: State of the Art and Challenges. Concurrency and Computation: Practice and Experience 25(7) (May 2013) pp. 961-988 (CORE-A) Preprint Link
[KBS] Dong, H., Hussain, F.K.: Semantic Service Matchmaking for Digital Health Ecosystems. Knowledge-Based Systems 24(6) (August 2011) pp. 761-774 (JCR-Q1, SJR-10%) Preprint Link
[JCSS] Dong, H., Hussain, F.K., Chang, E.: A Framework for Discovering and Classifying Ubiquitous Services in Digital Health Ecosystems. Journal of Computer and System Sciences 77(4) (July 2011) pp. 687-704 (CORE-A*) Preprint Link
[TIE] Dong, H., Hussain, F.K.: Focused Crawling for Automatic Service Discovery, Annotation and Classification in Industrial Digital Ecosystems. IEEE Transactions on Industrial Electronics 58(6) (June 2011) pp. 2106-2116 (JCR-5%, SJR-5%) Preprint Link
[TIE] Dong, H., Hussain, F.K., Chang, E.: A Service Search Engine for the Industrial Digital Ecosystems. IEEE Transactions on Industrial Electronics 58(6) (June 2011) pp. 2183-2196 (JCR-5%, SJR-5%) Preprint Link
[CCPE] Dong, H., Hussain, F.K., Chang, E.: A Context-Aware Semantic Similarity Model for Ontology Environments. Concurrency and Computation: Practice and Experience 23(2) (April 2011) pp. 505-524 (CORE-A) Preprint Link
[JNCA] Dong, H., Hussain, F.K., Chang, E.: A Service Concept Recommendation System for Enhancing the Dependability of Semantic Service Matchmakers in the Service Ecosystem Environment. Journal of Network and Computer Applications 34(2) (March 2011) pp.619-632 (CORE-A, JCR-5%, SJR-10%) Preprint Link
[WWW] Dong, H., Hussain, F.K., Chang, E.: A Human-Centered Semantic Service Platform for the Digital Ecosystems Environment. World Wide Web 13(1-2) (March 2010) pp. 75-103 (CORE-A, SJR-Q1) Preprint Link
[IJWGS] Dong, H., Hussain, F.K., Chang, E.: A QoS-based Service Retrieval Methodology for Digital Ecosystems. International Journal of Web and Grid Services 5(3) (September 2009) pp. 261-283 Preprint Link
[ICWS] Tai, C., Jin, H., Wang, Q., Dong, H., Zhang, P.: DAG-FGL: An Enhanced Approach for Accurate Workflow Task Execution Time Prediction with Complex Dependencies. The 2025 IEEE International Conference on Web Services (IEEE ICWS 2025) (July 2025) (CORE-A) Link
[ICWS] Zhang, J., Jin, H., Zhao, J., Dong, H., Zhang, P.: Privacy-Preserving and Efficient Offloading for Cooperative Vehicle Infrastructure Systems. The 2025 IEEE International Conference on Web Services (IEEE ICWS 2025) (July 2025) (CORE-A) Link
[ICWS] Ji, S., Li, J., Jin, H., Dong, H., Ge, Z., Yang, S., Zhang, P.: Resource Aware Multi-User Task Offloading In Mobile Edge Computing. The 2024 IEEE International Conference on Web Services (IEEE ICWS 2024) (July 2024) (CORE-A) Preprint Link
[ICWS] Ge, Z., Zhang, P., Jin, H., Dong, H., Ji, S., Li, J., Wang, Q.: QoS Optimization via Computation Offloading in Metaverse Environment. The 2024 IEEE International Conference on Web Services (IEEE ICWS 2024) (July 2024) (CORE-A) Preprint Link
[SSE] Li, J., Ji, S., Jin, H., Dong, H., Ge, Z., Zhang, P.: Dynamic Adaptive User Allocation in Mobile Edge Computing. The 2024 IEEE International Conference on Software Services Engineering (IEEE SSE 2024) (July 2024) Preprint Link
[ICSOC] Zhang, X., Huang, S., Dong, H., Bao, Z.: Edge Node Placement with Minimum Costs: When User Tolerance on Service Delay Matters. The 19th International Conference on Service Oriented Computing (ICSOC 2021) (November 2021) (CORE-A) Preprint Link
[ICSOC] Zhang, M., Liu, J., Zhang, W., Deng, K., Dong, H., Liu, Y.: CSSR: A Context-Aware Sequential Software Service Recommendation Model. The 19th International Conference on Service Oriented Computing (ICSOC 2021) (November 2021) (CORE-A, Best Short Paper Award Nomination) Preprint Link
[ICWS] Huang, B., Dong, H., Bouguettaya, A.: Conflict Detection in IoT-Based Smart Homes. The 2021 IEEE International Conference on Web Services (IEEE ICWS 2021) (September 2021) (CORE-A) Preprint Link
[ICSOC] Zhang, M., Zhao, J., Dong, H., Deng, K., Liu, Y.: A Knowledge Graph Based Approach for Mobile Application Recommendation. The 18th International Conference on Service Oriented Computing (ICSOC 2020) (December 2020) (CORE-A, Acceptance Rate: 17%) Preprint Link
[WISE] Aamir, T., Dong, H., Bouguettaya, A.: Heuristics Based Mosaic of Social-Sensor Services for Scene Reconstruction. The 21st International Conference on Web Information Systems Engineering (WISE 2020) (October 2020) (CORE-A) Preprint Link
[WISE] Alharbi, A., Dong, H.: Subjective Metrics-based Cloud Market Performance Prediction. The 21st International Conference on Web Information Systems Engineering (WISE 2020) (October 2020) (CORE-A) Preprint Link
[ICONIP] Dong, H.: IaaS Reservation Optimization for multi-QoS level Based SaaS Provisioning. The 26th International Conference on Neural Information Processing (ICONIP 2019) (December 2019) (CORE-A) Preprint
[ICSOC] Aamir, T., Dong, H., Bouguettaya, A.: Social-Sensor Composition for Scene Analysis. The 16th International Conference on Service Oriented Computing (ICSOC 2018) (November 2018) pp. 352-362 (CORE-A) Preprint Link
[WISE] Aamir, T., Dong, H., Bouguettaya, A.: Stance and Credibility Based Trust in Social-Sensor Cloud Service. The 19th International Conference on Web Information Systems Engineering (WISE 2018) (November 2018) pp.178-189 (CORE-A) Preprint Link
[ICWS] Aamir, T., Dong, H., Bouguettaya, A.: Trust in Social-Sensor Cloud Service. The 2018 IEEE International Conference on Web Services (IEEE ICWS 2018) (June 2018) pp.359-362 (CORE-A) Preprint Link
[ICSOC] Aamir, T., Bouguettaya, A., Dong, H., Mistry, S., Erradi, A.: Social-Sensor Cloud Service for Scene Reconstruction. The 15th International Conference on Service Oriented Computing (ICSOC 2017) (November 2017) pp.37-52 (CORE-A) Preprint Link
[ICSOC] Mistry, S., Bouguettay, A., Dong, H., Erradi, A.: Probabilistic Qualitative Preference Matching in Long-Term IaaS Composition. The 15th International Conference on Service Oriented Computing (ICSOC 2017) (November 2017) pp.256-271 (CORE-A) Preprint Link
[ICWS] Aamir, T., Bouguettaya, A., Dong, H.: Social-Sensor Cloud Service selection. The 24th IEEE International Conference on Web Services (IEEE ICWS 2017) (June 2017) pp. 508-515 (CORE-A) Preprint Link
[ICWS] Jayaratna, S., Bouguettaya, A., Dong, H., Qin, A. K., Erradi, A.: Subjective Evaluation of Market-Driven Cloud Services. The 24th IEEE International Conference on Web Services (IEEE ICWS 2017) (June 2017) pp. 516-523 (CORE-A) Preprint Link
[ICWS] Ali, K., Dong, H., Bouguettaya, A.: Sentiment Analysis as a Service: A Social Media Based Sentiment Analysis Framework. The 24th IEEE International Conference on Web Services (IEEE ICWS 2017) (June 2017) pp. 660-667 (CORE-A) Preprint Link
[WISE] Chen, L., Ying, H., Qiu, Q., Wu, J., Dong, H., Bouguettaya, A.: Temporal Pattern Based QoS Prediction. The 17th International Conference on Web Information Systems Engineering (WISE 2016) (November 2016) pp. 223-237 (CORE-A) Preprint Link
[ICSOC] Mistry, S., Bouguettaya, A., Dong, H., Erradi, A.: Qualitative Economic Model for Long-Term IaaS Composition. The 14th International Conference on Service Oriented Computing (ICSOC 2016) (October 2016) pp. 317-332 (Best Research Paper Award, CORE-A) Preprint Link
[ICSOC] Liang, T., Chen, L., Wu, J., Dong, H., Bouguettaya, A.: Meta-Path Based Service Recommendation in Heterogeneous Information Networks. The 14th International Conference on Service Oriented Computing (ICSOC 2016) (October 2016) pp. 371-386 (CORE-A) Preprint Link
[ICSOC] Huang, B., Bouguettay, A., Dong, H., Chen, L.: Service Mining for Internet of Things. The 14th International Conference on Service Oriented Computing (ICSOC 2016) (October 2016) pp. 566-574 (CORE-A) Preprint Link
[ICSOC] Gao, W., Chen, L., Wu, J., Dong, H., Bouguettaya, A.: Personalized API Recommendation via Implicit Preference Modelling. The 14th International Conference on Service Oriented Computing (ICSOC 2016) (October 2016) pp. 646-653 (CORE-A) Preprint Link
[ICONIP] Chotipant, S., Hussain, F. K., Dong, H., Hussain, O. K.: A Neural Network Based Approach for Semantic Service Annotation. The 22nd International Conference on Neural Information Processing (ICONIP 2015) (November 2015) pp. 292-300 (CORE-A) Preprint Link
[ICSOC] Mistry, S., Bouguettaya, A., Dong, H., Qin, A. K.: Optimizing Long-Term IaaS Service Composition. The 13th International Conference on Service Oriented Computing (ICSOC 2015) (November 2015) pp. 333-342 (CORE-A) Preprint Link
[ICWS] Mistry, S., Bouguettaya, A., Dong, H., Qin, A. K.: Predicting Dynamic Behavior of Consumer Requests in Long-Term IaaS Service Composition. The 22nd IEEE International Conference on Web Services (IEEE ICWS 2015) (June 2015) pp. 49-56 (CORE-A) Preprint Link
[ICWS] Chang, C., Loke, S., Dong, H., Salim, F., Srirama, S., Liyanage, M.: An Energy-Efficient Inter-Organizational Wireless Sensor Data Collection Framework. The 22nd IEEE International Conference on Web Services (IEEE ICWS 2015) (June 2015), pp. 639-646 (CORE-A) Preprint Link
[ICONIP] Chotipant, S., Hussain, F. K., Dong, H., Hussain, O. K.: A Fuzzy VSM-Based Approach for Semantic Service Retrieval. The 21st International Conference on Neural Information Processing (ICONIP 2014) (November 2014) pp. 682-689 (CORE-A) Prerpint Link
[ICONIP] Dong, H., Hussain, F. K., Bouguettaya, A.: Discovering Plain-Text-Described Services Based on Ontology Learning. The 21st International Conference on Neural Information Processing (ICONIP 2014) (November 2014) pp. 673-681 (CORE-A) Preprint Link
[ICSOC] Neiat, A.G., Bouguettaya, A., Sellis, T., Dong, H.: Failure-Proof Spatio-Temporal Composition of Sensor-Cloud Services. The 12th International Conference on Service Oriented Computing (ICSOC 2014) (November 2014) pp. 368-377 (CORE-A) Preprint Link
[FUZZ-IEEE] Sun, L., Dong, H., Hussain, F.K., Hussain, O.K., Ma, J., Zhang, Y.: Multicriteria Decision Making with Fuzziness and Criteria Interdependence in Cloud Service Selection. 2014 IEEE International Conference on Fuzzy Systems (FUZZ-IEEE 2014) (July 2014) pp. 1929-1936 (CORE-A) Preprint Link
[ICWS] Sun, L., Dong, H., Hussain, F.K., Hussain, O.K., Ma, J., Zhang, Y.: A Hybrid Fuzzy Framework for Cloud Service Selection. The 21st IEEE International Conference on Web Services (IEEE ICWS 2014) (June 2014) pp. 313-320 (CORE-A) Preprint Link
[WISE] Dong, H., Hussain, F.K., Chang, E.: UCOSAIS: A Framework for User-Centered Online Service Advertising Information Search. The 14th International Conference on Web Information System Engineering (WISE 2013) (October 2013) pp. 267-276 (CORE-A) Preprint Link
[ICSOC] Dong, H., Hussain, F.K., Chang, E.: Ontology-Learning-Based Focused Crawling for Online Service Advertising Information Discovery and Classification. The 10th International Conference on Service Oriented Computing (ICSOC 2012) (November 2012) pp. 591-598 (CORE-A) Preprint Link
Cyber Security
[TSC] Alharbi, A., Dong, H., Yi, X., Abeysekara, P.: Cloned Identity Detection in Social Sensor-Clouds based on Incomplete Profiles. IEEE Transactions on Services Computing. 17(6) (December 2024) pp. 3227-3240 (CORE-A*, CCF-A, JCR-Q1, SJR-10%) Preprint Link
[COSE] Rehman, Z., Gondal, I., Ge, M., Dong, H., Gregory, M., Tari, Z.: Proactive Defense Mechanism: Enhancing IoT Security through Diversity-Based Moving Target Defense and Cyber Deception. Computers & Security. 139 (April 2024) 103685 (JCR-Q1, SJR-10%) Link
[CSUR] Alharbi, A., Dong, H., Yi, X., Tari, Z., Khalil, I.: Social Media Identity Deception Detection: A Survey. ACM Computing Surveys. 54(3) (April 2022), Article 69: pp.1-35. (CORE-A*, JCR-1%, SJR-1%) Preprint Link
[ICSOC] Alharbi, A., Dong, H., Yi, X, Abeysekara, P.: Privacy-Aware Identity Cloning Detection Based on Deep Forest. The 19th International Conference on Service Oriented Computing (ICSOC 2021) (November 2021) (CORE-A) Preprint Link
[ICWS] Alharbi, A., Dong, H., Yi, X, Abeysekara, P.: NPS-AntiClone: Identity Cloning Detection Based on Non-Privacy-Sensitive User Profile Data. The 2021 IEEE International Conference on Web Services (IEEE ICWS 2021) (September 2021) (CORE-A) Preprint Link
[PACIS] Rahman, M. S., Khalil, I., Yi, X., Dong, H.: Highly Imperceptible and Reversible Text Steganography Using Invisible Character Based Codeword. The Pacific-Asia Conference on Information Systems 2017 (PACIS 2017) (July 2017) 230 (CORE-A) Link
His full publications can be found from Google Scholar.