Scalable and Deep Anomaly Detection from Big Data with Similarity Hashing

Research output

Research output per year 2021 2022 2023 2024

• 27 Conference proceeding contribution
• 18 Article
• 1 Conference abstract
• 1 Conference paper

Research output per year

Research output per year

Search results

• 2024

  A cloud-edge service offloading method for the metaverse in smart manufacturing

  Xiang, H., Zhang, X. & Bilal, M., Sept 2024, In: Software: Practice and Experience. 54, 9, p. 1714-1732 19 p.

  Research output: Contribution to journal › Article › peer-review

  • Edge computing 100%
  • Quality of service 95%
  • Product design 40%
  • Data communication systems 36%
  • Virtual reality 35%
  3 Citations (Scopus)

• GraphSAGE-based POI recommendation via continuous-time modeling

  Liu, Y., Qi, L., Liu, W., Xu, X., Zhang, X. & Dou, W., 2024, WWW '24 Companion: Companion proceedings of the ACM on Web Conference 2024. New York: Association for Computing Machinery, p. 585-588 4 p.

  Research output: Chapter in Book/Report/Conference proceeding › Conference proceeding contribution › peer-review

  Open Access

  • Ordinary differential equations 100%
  • Experiments 16%
  1 Citation (Scopus)

• Source inference attacks: beyond membership inference attacks in federated learning

  Hu, H., Zhang, X., Salcic, Z., Sun, L., Choo, K-K. R. & Dobbie, G., 2024, In: IEEE Transactions on Dependable and Secure Computing. 21, 4, p. 3012-3029 18 p.

  Research output: Contribution to journal › Article › peer-review

  • Servers 100%
  • Ablation 42%
  • Machine learning 25%
  • Network protocols 23%
  • Testing 17%
  3 Citations (Scopus)

• The path to defence: a roadmap to characterising data poisoning attacks on victim models

  Chaalan, T., Pang, S., Kamruzzaman, J., Gondal, I. & Zhang, X., Jul 2024, In: ACM Computing Surveys. 56, 7, p. 1-39 39 p., 175.

  Research output: Contribution to journal › Article › peer-review

  Open Access

  • Attack 100%
  • Path 67%
  • Trial and error 54%
  • Model 32%
  • Use Case 25%
• 2023

  A correlation graph based approach for personalized and compatibleWeb APIs recommendation in mobile APP development

  Qi, L., Lin, W., Zhang, X., Dou, W., Xu, X. & Chen, J., Jun 2023, In: IEEE Transactions on Knowledge and Data Engineering. 35, 6, p. 5444-5457 14 p.

  Research output: Contribution to journal › Article › peer-review

  • Recommendations 100%
  • Application programming interfaces (API) 88%
  • Compatibility 57%
  • Graph in graph theory 42%
  • Community 37%
  123 Citations (Scopus)

• A preference-based indicator selection hyper-heuristic for optimization problems

  Anwar, A. A., Younas, I., Liu, G. & Zhang, X., 2023, Advanced Data Mining and Applications: 19th International Conference, ADMA 2023, Shenyang, China, August 21–23, 2023, proceedings, part I. Yang, X., Suhartanto, H., Wang, G., Wang, B., Jiang, J., Li, B., Zhu, H. & Cui, N. (eds.). Cham: Springer, Springer Nature, p. 447-462 16 p. (Lecture Notes in Computer Science; vol. 14176).

  Research output: Chapter in Book/Report/Conference proceeding › Conference proceeding contribution › peer-review

  • Hyper-heuristics 100%
  • Optimization Problem 41%
  • Multiobjective optimization 18%
  • Evolutionary algorithms 17%
  • Heuristics 12%
  1 Citation (Scopus)

• Auditory receptive field net based automatic snore detection for wearable devices

  Hu, X., Sun, J., Dong, J. & Zhang, X., May 2023, In: IEEE Journal of Biomedical and Health Informatics. 27, 5, p. 2255-2263 9 p.

  Research output: Contribution to journal › Article › peer-review

  • Wearable Electronic Devices 100%
  • Wearable technology 77%
  • Sleep 73%
  • Obstructive Sleep Apnea 70%
  • Snoring 43%
  5 Citations (Scopus)

• Deep optimal isolation forest with genetic algorithm for anomaly detection

  Xiang, H., Zhang, X., Dras, M., Beheshti, A., Dou, W. & Xu, X., 2023, 23rd IEEE International Conference on Data Mining ICDM 2023: proceedings. Chen, G., Khan, L., Gao, X., Qiu, M., Pedrycz, W. & Wu, X. (eds.). Piscataway, NJ: Institute of Electrical and Electronics Engineers (IEEE), p. 678-687 10 p.

  Research output: Chapter in Book/Report/Conference proceeding › Conference proceeding contribution › peer-review

  • Anomaly detection 100%
  • Genetic algorithms 67%
  • Intrusion detection 32%
  • Artificial intelligence 28%
  • Health 23%
  1 Citation (Scopus)

• Differentially private locality sensitive hashing based federated recommender system

  Hu, H., Dobbie, G., Salcic, Z., Liu, M., Zhang, J., Lyu, L. & Zhang, X., 25 Jun 2023, In: Concurrency Computation. 35, 14, p. 1-16 16 p., e6233.

  Research output: Contribution to journal › Article › peer-review

  • Recommender Systems 100%
  • Hashing 77%
  • Locality 71%
  • Recommender systems 60%
  • Privacy 57%
  15 Citations (Scopus)

• Digital-twin-enabled 6G mobile network video streaming using mobile crowdsourcing

  Qi, L., Xu, X., Wu, X., Ni, Q., Yuan, Y. & Zhang, X., Oct 2023, In: IEEE Journal on Selected Areas in Communications. 41, 10, p. 3161-3174 14 p.

  Research output: Contribution to journal › Article › peer-review

  • Digital twin 100%
  • Crowdsourcing 80%
  • Video streaming 75%
  • Wireless networks 53%
  • Telecommunication traffic 35%
  26 Citations (Scopus)

• Disentangled hypergraph collaborative filtering for social recommendation

  Liu, X., Meng, S., Li, Q., Xu, X., Qi, L., Dou, W., Zhang, J. & Zhang, X., 2023, 2023 IEEE International Conference on Web Services IEEE ICWS 2023: proceedings. Ardagna, C., Benatallah, B., Bian, H., Chang, C. K., Chang, R. N., Fan, J., Fox, G. C., Jin, Z., Liu, X., Ludwig, H., Sheng, M. & Yang, J. (eds.). Piscataway, NJ: Institute of Electrical and Electronics Engineers (IEEE), p. 475-482 8 p.

  Research output: Chapter in Book/Report/Conference proceeding › Conference proceeding contribution › peer-review

  • Hypergraph 100%
  • Collaborative Filtering 90%
  • Collaborative filtering 70%
  • Information services 34%
  • User experience 30%

• Multi-granularity entity recognition based sentence ranking for multi-document summarization

  Zhang, G., Zhang, X., Wang, Z. & Beheshti, A., 2023, 2023 IEEE 10th International Conference on Data Science and Advanced Analytics (DSAA): proceedings. Manolopoulos, Y. & Zhou, Z-H. (eds.). Piscataway, NJ: Institute of Electrical and Electronics Engineers (IEEE), p. 547-556 10 p.

  Research output: Chapter in Book/Report/Conference proceeding › Conference proceeding contribution › peer-review

  • Multi-document Summarization 100%
  • Summarization 70%
  • Granularity 65%
  • Ranking 49%
  • Named Entity Recognition 32%

• NACA: a joint distortion-based non-additive cost assignment method for video steganography

  Chen, Y., Salcic, Z., Wang, H., Choo, K-K. R. & Zhang, X., 2023, In: IEEE Transactions on Dependable and Secure Computing. 20, 3, p. 2360-2374 15 p.

  Research output: Contribution to journal › Article › peer-review

  • Steganography 100%
  • Costs 32%
  • Compensation and Redress 7%
  • Experiments 3%
  3 Citations (Scopus)

• Noise-augmented contrastive learning for sequential recommendation

  He, K., Meng, S., Li, Q., Liu, X., Beheshti, A., Chi, X. & Zhang, X., 2023, Web Information Systems Engineering – WISE 2023: 24th International Conference, Melbourne, VIC, Australia, October 25–27, 2023, proceedings. Zhang, F., Wang, H., Barhamgi, M., Chen, L. & Zhou, R. (eds.). Singapore: Springer, Springer Nature, p. 559-568 10 p. (Lecture Notes in Computer Science; vol. 14306).

  Research output: Chapter in Book/Report/Conference proceeding › Conference proceeding contribution › peer-review

  • Recommendations 100%
  • Learning 84%
  • Crops 51%
  • Data Augmentation 49%
  • Masks 43%

• OptIForest: optimal isolation forest for anomaly detection

  Xiang, H., Zhang, X., Hu, H., Qi, L., Dou, W., Dras, M., Beheshti, A. & Xu, X., 2023, Proceedings of the Thirty-Second International Joint Conference on Artificial Intelligence. Elkind, E. (ed.). California: International Joint Conferences on Artificial Intelligence, p. 2379-2387 9 p.

  Research output: Chapter in Book/Report/Conference proceeding › Conference proceeding contribution › peer-review

  Open Access

  • Anomaly detection 100%
  • Ablation 59%
  • Benchmarking 50%
  • Intrusion detection 49%
  • Security of data 45%
  3 Citations (Scopus)

• Reinforcement learning based hyper-heuristics for many-objective pickup and delivery problem

  Anwar, A. A. & Zhang, X., 2023, 23rd IEEE International Conference on Data Mining ICDM 2023: proceedings. Chen, G., Khan, L., Gao, X., Qiu, M., Pedrycz, W. & Wu, X. (eds.). Piscataway, NJ: Institute of Electrical and Electronics Engineers (IEEE), p. 924-929 6 p.

  Research output: Chapter in Book/Report/Conference proceeding › Conference proceeding contribution › peer-review

  • Pickups 100%
  • Evolutionary algorithms 38%
  • NP-hard 20%

• RePreM: representation pre-training with masked model for reinforcement learning

  Cai, Y., Zhang, C., Shen, W., Zhang, X., Ruan, W. & Huang, L., 27 Jun 2023, In: Proceedings of the AAAI Conference on Artificial Intelligence. 37, 6, p. 6879-6887 9 p.

  Research output: Contribution to journal › Conference paper › peer-review

  • Transfer learning 14%
  • Trajectories 8%
  1 Citation (Scopus)

• SMEF: social-aware multi-dimensional edge features-based graph representation learning for recommendation

  Liu, X., Meng, S., Li, Q., Qi, L., Xu, X., Dou, W. & Zhang, X., 2023, CIKM '23: The 32nd ACM International Conference on Information and Knowledge Management. New York: Association for Computing Machinery, Inc, p. 1566-1575 10 p.

  Research output: Chapter in Book/Report/Conference proceeding › Conference proceeding contribution › peer-review

  • Graph 100%
  • User Behavior 25%
  • Interaction 22%
  • Recommender Systems 13%
  • Learning Methods 13%
  1 Citation (Scopus)

• TSDroid: a novel android malware detection framework based on temporal & spatial metrics in IoMT

  Zhang, G., Li, Y., Bao, X., Chakarborty, C., Rodrigues, J. J. P. C., Zheng, L., Zhang, X., Qi, L. & Khosravi, M. R., Aug 2023, In: ACM Transactions on Sensor Networks. 19, 3, p. 1-23 23 p., 51.

  Research output: Contribution to journal › Article › peer-review

  • Malware 100%
  • Application programming interfaces (API) 86%
  • Clustering algorithms 41%
  • Aging of materials 36%
  • Set theory 29%
  8 Citations (Scopus)
• 2022

  A cricket-based selection hyper-heuristic for many-objective optimization problems

  Anwar, A. A., Younas, I., Liu, G., Beheshti, A. & Zhang, X., 2022, Advanced Data Mining and Applications: 18th International Conference, ADMA 2022, Brisbane, QLD, Australia, November 28–30, 2022, proceedings, part II. Chen, W., Yao, L., Cai, T., Pan, S., Shen, T. & Li, X. (eds.). Cham: Springer, Springer Nature, p. 310-324 15 p. (Lecture Notes in Computer Science; vol. 13726).

  Research output: Chapter in Book/Report/Conference proceeding › Conference proceeding contribution › peer-review

  • Hyper-heuristics 100%
  • Optimization Problem 41%
  • Sports 23%
  • Metaheuristics 21%
  • Cricket (Sports) 20%
  2 Citations (Scopus)

• An empirical study on human flying imagery using EEG

  Tang, Y., Chen, W. & Zhang, X., 2022, Advanced Data Mining and Applications: 17th International Conference, ADMA 2021, Sydney, NSW, Australia, February 2–4, 2022, Proceedings, Part I. Li, B., Yue, L., Jiang, J., Chen, W., Li, X., Long, G., Fang, F. & Yu, H. (eds.). Cham, Switzerland: Springer, Springer Nature, p. 18-32 15 p. (Lecture Notes in Artificial Intelligence; vol. 13087).

  Research output: Chapter in Book/Report/Conference proceeding › Conference proceeding contribution › peer-review

  • Electroencephalography 100%
  • Imagery 93%
  • Empirical Study 72%
  • Human 57%
  • Movement 36%

• A transformer-based user satisfaction prediction for proactive interaction mechanism in DuerOS

  Shen, W., He, X., Zhang, C., Zhang, X. & Xie, J., 17 Oct 2022, CIKM '22: proceedings of the 31st ACM International Conference on Information and Knowledge Management. New York: Association for Computing Machinery, p. 1777-1786 10 p.

  Research output: Chapter in Book/Report/Conference proceeding › Conference proceeding contribution › peer-review

  • User Satisfaction 100%
  • Prediction 74%
  • Interaction 49%
  • User Experience 31%
  • Train 12%

• Attention-aware multi-hop trust inference in online social networks

  Xu, R., Liu, G., Hua, X., Ye, S., Zhang, X. & Lu, J., 2022, 2022 IEEE 9th International Conference on Data Science and Advanced Analytics DSAA'2022: proceedings. Huang, J. Z., Pan, Y., Hammer, B., Khan, M. K., Xie, X., Cui, L. & He, Y. (eds.). Piscataway, NJ: Institute of Electrical and Electronics Engineers (IEEE), 10 p.

  Research output: Chapter in Book/Report/Conference proceeding › Conference proceeding contribution › peer-review

  • Online Social Networks 100%
  • Inference 65%
  • Node 63%
  • Social Trust 34%
  • Graph structures 32%

• Crowdsourcing-based multi-device communication cooperation for mobile high-quality video enhancement

  Wu, X., Qi, L., Xu, X., Yu, S., Dou, W. & Zhang, X., 2022, WSDM 2022 - Proceedings of the 15th ACM International Conference on Web Search and Data Mining. New York, NY: Association for Computing Machinery, p. 1140-1148 9 p.

  Research output: Chapter in Book/Report/Conference proceeding › Conference proceeding contribution › peer-review

  • Crowdsourcing 100%
  • Communication 42%
  • Application programs 25%
  • Mobile computing 23%
  • Polynomials 21%
  3 Citations (Scopus)

• DAWAR: diversity-aware web APIs recommendation for mashup creation based on correlation graph

  Gong, W., Zhang, X., Chen, Y., He, Q., Beheshti, A., Xu, X., Yan, C. & Qi, L., 2022, SIGIR '22: proceedings of the 45th International ACM SIGIR Conference on Research and Development in Information Retrieval. New York: Association for Computing Machinery, p. 395–404 10 p.

  Research output: Chapter in Book/Report/Conference proceeding › Conference proceeding contribution › peer-review

  Open Access

  • Application programming interfaces (API) 100%
  • Industry 13%
  • Productivity 12%
  • Statistics 11%
  • Costs 5%
  20 Citations (Scopus)

• DDCA: a distortion drift-based cost assignment method for adaptive video steganography in the transform domain

  Chen, Y., Wang, H., Choo, K-K. R., He, P., Salcic, Z., Kaafar, D. & Zhang, X., 2022, In: IEEE Transactions on Dependable and Secure Computing. 19, 4, p. 2405-2420 16 p.

  Research output: Contribution to journal › Article › peer-review

  • Steganography 100%
  • Costs 32%
  • Trellis codes 29%
  • Experiments 14%
  26 Citations (Scopus)

• DeepiForest: a deep anomaly detection framework with hashing based isolation forest

  Xiang, H., Hu, H. & Zhang, X., 2022, 22nd IEEE International Conference on Data Mining ICDM 2022: proceedings. Zhu, X., Ranka, S., Thai, M. T., Washio, T. & Wu, X. (eds.). Piscataway, NJ: Institute of Electrical and Electronics Engineers (IEEE), p. 1251-1256 6 p.

  Research output: Chapter in Book/Report/Conference proceeding › Conference proceeding contribution › peer-review

  • Anomaly detection 100%
  • Deep learning 36%
  • Deep neural networks 26%
  • Data storage equipment 8%
  • Experiments 4%
  3 Citations (Scopus)

• Deep reinforcement learning based iterative participant selection method for industrial IoT big data mobile crowdsourcing

  Wang, Y., Tian, Y., Zhang, X., He, X., Li, S. & Zhu, J., 2022, Advanced Data Mining and Applications: 17th International Conference, ADMA 2021, Sydney, NSW, Australia, February 2–4, 2022, Proceedings, Part I. Li, B., Yue, L., Jiang, J., Chen, W., Li, X., Long, G., Fang, F. & Yu, H. (eds.). Cham, Switzerland: Springer, Springer Nature, p. 258-272 15 p. (Lecture Notes in Artificial Intelligence; vol. 13087).

  Research output: Chapter in Book/Report/Conference proceeding › Conference proceeding contribution › peer-review

  • Reinforcement Learning 100%
  • Crowdsourcing 78%
  • Big data 60%
  • Internet of things 55%
  • Mobile Devices 48%
  1 Citation (Scopus)

• DisCOV: distributed COVID-19 detection on X-ray images with edge-cloud collaboration

  Xu, X., Tian, H., Zhang, X., Qi, L., He, Q. & Dou, W., 2022, In: IEEE Transactions on Services Computing. 15, 3, p. 1206-1219 14 p.

  Research output: Contribution to journal › Article › peer-review

  • X rays 100%
  • Deep Learning 60%
  • Deep learning 39%
  • Learning Model 33%
  • Training Methods 30%
  86 Citations (Scopus)

• Domain knowledge enhanced text mining for identifying mental disorder patterns

  Shahabikargar, M., Beheshti, A., Khatami, A., Nguyen, R., Zhang, X. & Alinejad-Rokny, H., 2022, 2022 IEEE 9th International Conference on Data Science and Advanced Analytics DSAA'2022: proceedings. Huang, J. Z., Pan, Y., Hammer, B., Khan, M. K., Xie, X., Cui, L. & He, Y. (eds.). Piscataway, NJ: Institute of Electrical and Electronics Engineers (IEEE), 10 p.

  Research output: Chapter in Book/Report/Conference proceeding › Conference proceeding contribution › peer-review

  • Text Mining 100%
  • Domain Knowledge 98%
  • Text mining 94%
  • Mental Disorders 88%
  • Mental Health 74%

• Edge computing empowered anomaly detection framework with dynamic insertion and deletion schemes on data streams

  Xiang, H. & Zhang, X., Sept 2022, In: World Wide Web. 25, 5, p. 2163-2183 21 p.

  Research output: Contribution to journal › Article › peer-review

  Open Access

  File

  • Edge computing 100%
  • Anomaly detection 84%
  • Data streams 82%
  • Internet of things 22%
  • Explosions 12%
  6 Citations (Scopus)

  51 Downloads (Pure)

• Evidence based pipeline for explaining artificial intelligence algorithms with interactions

  Hanif, A., Beheshti, A., Benatallah, B., Zhang, X. & Wood, S., 2022, 2022 IEEE 9th International Conference on Data Science and Advanced Analytics DSAA'2022: proceedings. Huang, J. Z., Pan, Y., Hammer, B., Khan, M. K., Xie, X., Cui, L. & He, Y. (eds.). Piscataway, NJ: Institute of Electrical and Electronics Engineers (IEEE), 9 p.

  Research output: Chapter in Book/Report/Conference proceeding › Conference proceeding contribution › peer-review

  • Evidence-based 100%
  • Artificial Intelligence 98%
  • Artificial intelligence 83%
  • Pipelines 72%
  • Interaction 52%
  2 Citations (Scopus)

• FLEAM: a federated learning empowered architecture to mitigate DDoS in industrial IoT

  Li, J., Lyu, L., Liu, X., Zhang, X. & Lyu, X., Jun 2022, In: IEEE Transactions on Industrial Informatics. 18, 6, p. 4059-4068 10 p.

  Research output: Contribution to journal › Article › peer-review

  Open Access

  File

  • Internet of things 100%
  • Network protocols 81%
  • Industrial internet of things (IIoT) 42%
  • Edge computing 36%
  • Fog 32%
  84 Citations (Scopus)

  26 Downloads (Pure)

• FlowSpectrum: a concrete characterization scheme of network traffic behavior for anomaly detection

  Yang, L., Fu, S., Zhang, X., Guo, S., Wang, Y. & Yang, C., Sept 2022, In: World Wide Web. 25, 5, p. 2139-2161 23 p.

  Research output: Contribution to journal › Article › peer-review

  • Dimensionality reduction 100%
  • Anomaly detection 95%
  • Electric network analysis 92%
  • Application programs 82%
  • Quality of service 71%
  3 Citations (Scopus)

• Membership inference via backdooring

  Hu, H., Salcic, Z., Dobbie, G., Chen, J., Sun, L. & Zhang, X., 2022, Proceedings of the Thirty-First International Joint Conference on Artificial Intelligence. De Raedt, L. (ed.). Darmstadt: International Joint Conferences on Artificial Intelligence Organization, p. 3832-3838 7 p.

  Research output: Chapter in Book/Report/Conference proceeding › Conference proceeding contribution › peer-review

  • Data privacy 100%
  • Machine learning 71%
  • Deep neural networks 47%
  • Network architecture 45%
  • Experiments 17%
  7 Citations (Scopus)

• Privacy-aware data fusion and prediction for smart city services in edge computing environment

  Qi, L., Chi, X., Zhou, X., Liu, Q., Dai, F., Xu, X. & Zhang, X., 2022, 2022 IEEE International Conferences on Internet of Things (iThings) and IEEE Green Computing & Communications (GreenCom) and IEEE Cyber, Physical & Social Computing (CPSCom) and IEEE Smart Data (SmartData) and IEEE Congress. Piscataway, NJ: Institute of Electrical and Electronics Engineers (IEEE), p. 9-16 8 p.

  Research output: Chapter in Book/Report/Conference proceeding › Conference proceeding contribution › peer-review

  • Data Fusion 100%
  • Privacy 82%
  • Edge computing 79%
  • Smart city 70%
  • Data fusion 68%
  7 Citations (Scopus)

• PSDF: privacy-aware IoV service deployment with federated learning in cloud-edge computing

  Xu, X., Liu, W., Zhang, Y., Zhang, X., Dou, W., Qi, L. & Bhuiyan, M. Z. A., Oct 2022, In: ACM Transactions on Intelligent Systems and Technology. 13, 5, p. 1-22 22 p., 70.

  Research output: Contribution to journal › Article › peer-review

  • Privacy 100%
  • Edge computing 95%
  • Learning 70%
  • Servers 56%
  • Internet 53%
  24 Citations (Scopus)

• Smart contract scams detection with topological data analysis on account interaction

  Fan, S., Fu, S., Luo, Y., Xu, H., Zhang, X. & Xu, M., 17 Oct 2022, CIKM '22: proceedings of the 31st ACM International Conference on Information and Knowledge Management. New York: Association for Computing Machinery, p. 468-477 10 p.

  Research output: Chapter in Book/Report/Conference proceeding › Conference proceeding contribution › peer-review

  • Interaction 100%
  • Cryptocurrency 97%
  • Investors 61%
  • Design Rules 39%
  • Market Value 38%
  6 Citations (Scopus)
• 2021

  A low latency metadata service for geo-distributed file systems

  Lin, C., Liu, B., Zhou, W., Xu, Y., Zhang, X. & Dou, W., 2021, Web Information Systems Engineering – WISE 2021: 22nd International Conference on Web Information Systems Engineering, WISE 2021 Melbourne, VIC, Australia, October 26–29, 2021: Proceedings, Part I. Zhang, W., Zou, L., Maamar, Z. & Chen, L. (eds.). Cham, Switzerland: Springer, Springer Nature, p. 87-100 14 p. (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); vol. 13080 LNCS).

  Research output: Chapter in Book/Report/Conference proceeding › Conference proceeding contribution › peer-review

  • Distributed File System 100%
  • Metadata 81%
  • Latency 64%
  • Server 17%
  • Web Application 14%
  1 Citation (Scopus)

• Clustering-based efficient privacy-preserving face recognition scheme without compromising accuracy

  Liu, M., Hu, H., Xiang, H., Yang, C., Lyu, L. & Zhang, X., Aug 2021, In: ACM Transactions on Sensor Networks. 17, 3, p. 1-27 27 p., 31.

  Research output: Contribution to journal › Article › peer-review

  • Biometrics 100%
  • Face recognition 96%
  • Computational complexity 54%
  • Internet of things 28%
  • Costs 25%
  6 Citations (Scopus)

• Computation offloading and resource management for energy and cost trade-offs with deep reinforcement learning in mobile edge computing

  Mo, R., Xu, X., Zhang, X., Qi, L. & Liu, Q., 2021, Service-Oriented Computing: 19th International Conference, ICSOC 2021 Virtual Event, November 22–25, 2021 Proceedings. Hacid, H., Kao, O., Mecella, M., Moha, N. & Paik, H. (eds.). Cham, Switzerland: Springer, Springer Nature, p. 563-577 15 p. (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); vol. 13121 LNCS).

  Research output: Chapter in Book/Report/Conference proceeding › Conference proceeding contribution › peer-review

  • Resource Management 100%
  • Reinforcement Learning 97%
  • Edge computing 80%
  • Trade-offs 66%
  • Mobile Devices 59%
  2 Citations (Scopus)

• CoPace: edge computation offloading and caching for self-driving with deep reinforcement learning

  Tian, H., Xu, X., Qi, L., Zhang, X., Dou, W., Yu, S. & Ni, Q., Dec 2021, In: IEEE Transactions on Vehicular Technology. 70, 12, p. 13281-13293 13 p.

  Research output: Contribution to journal › Article › peer-review

  • Caching 100%
  • Reinforcement Learning 96%
  • Resources 45%
  • Edge computing 39%
  • Time-varying 30%
  49 Citations (Scopus)

• EAR: an enhanced adversarial regularization approach against membership inference attacks

  Hu, H., Salcic, Z., Dobbie, G., Chen, Y. & Zhang, X., 2021, IJCNN 2021 - International Joint Conference on Neural Networks, conference proceedings. Piscataway, NJ: Institute of Electrical and Electronics Engineers (IEEE), 8 p.

  Research output: Chapter in Book/Report/Conference proceeding › Conference proceeding contribution › peer-review

  • Classifiers 100%
  • Health 51%
  • Machine learning 51%
  • Set theory 45%
  8 Citations (Scopus)

• International Workshop on Privacy, Security and Trust in Computational Intelligence (PSTCI2021)

  Zhang, X., Puthal, D., Yang, C., Liu, G., Choo, K-K. R. & Yin, H., 2021, CIKM 2021 - Proceedings of the 30th ACM International Conference on Information and Knowledge Management. New York, NY: Association for Computing Machinery, p. 4886-4887 2 p. (International Conference on Information and Knowledge Management, Proceedings).

  Research output: Chapter in Book/Report/Conference proceeding › Conference abstract

  • Computational Intelligence 100%
  • Privacy 64%
  • Data Mining 35%
  • Machine Learning 31%
  • Knowledge Discovery 30%

• Isolation forest based anomaly detection framework on non-IID data

  Xiang, H., Wang, J., Ramamohanarao, K., Salcic, Z., Dou, W. & Zhang, X., May 2021, In: IEEE Intelligent Systems. 36, 3, p. 31-40 10 p.

  Research output: Contribution to journal › Article › peer-review

  • Anomaly detection 100%
  • Data mining 26%
  • Experiments 11%
  10 Citations (Scopus)

• Reliable and privacy-preserving task matching in blockchain-based crowdsourcing

  Wang, B., Fu, S., Zhang, X., Xie, T., Lyu, L. & Luo, Y., 2021, CIKM 2021 - Proceedings of the 30th ACM International Conference on Information and Knowledge Management. New York, NY: Association for Computing Machinery, p. 1879-1888 10 p.

  Research output: Chapter in Book/Report/Conference proceeding › Conference proceeding contribution › peer-review

  • Privacy Preserving 100%
  • Crowdsourcing 84%
  • Key Words 28%
  • Privacy 16%
  • Workers 13%
  6 Citations (Scopus)

• Source inference attacks in federated learning

  Hu, H., Salcic, Z., Sun, L., Dobbie, G. & Zhang, X., 2021, Proceedings, 21st IEEE International Conference on Data Mining (ICDM 2021). Bailey, J., Miettinen, P., Koh, Y. S., Tao, D. & Wu, X. (eds.). Piscataway, NJ: Institute of Electrical and Electronics Engineers (IEEE), p. 1102-1107 6 p. (Proceedings - IEEE International Conference on Data Mining, ICDM; vol. 2021-December).

  Research output: Chapter in Book/Report/Conference proceeding › Conference proceeding contribution › peer-review

  • Servers 100%
  • Network protocols 47%
  • Experiments 24%
  50 Citations (Scopus)