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

  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)
• 2023

  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)

• 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)

• 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%

• 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%

• 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)
• 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)

• 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)

• 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%

• 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)

• 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)

• 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)

• 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)

• 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)

• 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)