Yan Wang

Research Outputs

Research output per year 1995 2014 2015 2020 2021 2023 2024

• 122 Conference proceeding contribution
• 68 Article
• 5 Other
• 4 Foreword/postscript/introduction
• 12 More
  • 4 Editorial
  • 3 Chapter
  • 2 Conference paper
  • 2 Review article
  • 1 Other chapter contribution

Research output per year

Research output per year

Search results

• 2024

  Adaptive hypergraph network for trust prediction

  Xu, R., Liu, G., Wang, Y., Zhang, X., Zheng, K. & Zhou, X., 2024, (Accepted/In press) Proceeding of the 40th IEEE International Conference on Data Engineering (ICDE).

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

• A hierarchical and disentangling interest learning framework for unbiased and true news recommendation

  Wang, S., Wang, W., Zhang, X., Wang, Y., Liu, H. & Chen, F., 2024, (Submitted) The 30th ACM SIGKDD Conference on Knowledge Discovery and Data Mining.

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

• Large language models for intent-driven session recommendations

  Sun, Z., Liu, H., Qu, X., Feng, K., Wang, Y. & Ong, Y-S., 2024, (Accepted/In press) The 47th International ACM SIGIR Conference on Research and Development in Information Retrieval .

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

• Reinforcement-based denoising for crowdsourcing named entity recognition in social networks

  Tian, Z., Zhang, H. & Wang, Y., 2024, (Submitted) IEEE International Conference on Communications 2024.

  Research output: Chapter in Book/Report/Conference proceeding › Conference proceeding contribution › peer-review
• 2023

  A counterfactual collaborative session-based recommender system

  Song, W., Wang, S., Wang, Y., Liu, K., Liu, X. & Yin, M., 2023, The ACM Web Conference 2023: proceedings of the World Wide Web Conference WWW 2023. New York: Association for Computing Machinery (ACM), p. 971-982 12 p.

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

  • Recommender systems 100%
  • Labels 7%
  • Experiments 2%
  13 Citations (Scopus)

• Cross-heterogeneity graph few-shot learning

  Ding, P., Wang, Y. & Liu, G., 2023, CIKM '23: proceedings of the 32nd ACM International Conference on Information and Knowledge Management. Piscataway, NJ: Association for Computing Machinery, Inc, p. 420-429 10 p.

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

  • Graph 100%
  • Node 27%
  • Neural Networks 22%
  • Module 20%
  • Scenarios 18%
  1 Citation (Scopus)

• DCMT: a direct entire-space causal multi-task framework for post-click conversion estimation

  Zhu, F., Zhong, M., Yang, X., Li, L., Lu, Y., Zhang, T., Zhou, J., Chen, C., Wu, F., Liu, G. & Wang, Y., 2023, 2023 IEEE 39th International Conference on Data Engineering, ICDE 2023: proceedings. Piscataway, NJ: Institute of Electrical and Electronics Engineers (IEEE), p. 3113-3125 13 p.

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

  • Multi-task learning 100%
  • Industrial applications 68%
  • Experiments 26%
  9 Citations (Scopus)

• Domain disentanglement with interpolative data augmentation for dual-target cross-domain recommendation

  Zhu, J., Wang, Y., Zhu, F. & Sun, Z., 2023, Proceedings of the Seventeenth ACM Conference on Recommender Systems. New York: Association for Computing Machinery, p. 515-527 13 p.

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

  • Experiments 100%
  12 Citations (Scopus)

• Theoretically guaranteed bidirectional data rectification for robust sequential recommendation

  Sun, Y., Yang, X., Sun, Z., Wang, B. & Wang, Y., 2023, 37th Conference on Neural Information Processing Systems (NeurIPS 2023). Oh, A., Naumann, T., Globerson, A., Saenko, K., Hardt, M. & Levine, S. (eds.). San Diego, CA: Neural Information Processing Systems (NIPS) Foundation, p. 1-13 13 p. (Advances in Neural Information Processing Systems; vol. 36).

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

  Open Access

  • Recommender systems 100%
  • Sampling 23%
  • Experiments 11%
• 2022

  Data science and artificial intelligence for responsible recommendations

  Wang, S., Liu, N., Zhang, X., Wang, Y., Ricci, F. & Mobasher, B., 2022, Proceedings of the 28th ACM SIGKDD Conference on Knowledge Discovery and Data Mining (KDD '22). New York: Association for Computing Machinery, p. 4904-4905 2 p.

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

  • Data Science 100%
  • Recommender systems 74%
  • Artificial intelligence 64%
  • Social sciences 13%
  • Entertainment 11%
  5 Citations (Scopus)

• Sequential/session-based recommendations: challenges, approaches, applications and opportunities

  Wang, S., Zhang, Q., Hu, L., Zhang, X., Wang, Y. & Aggarwal, C., 2022, SIGIR '22: proceedings of the 45th International ACM SIGIR Conference on Research and Development in Information Retrieval. New York, US: Association for Computing Machinery, Inc, p. 3425-3428 4 p.

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

  Open Access

  • Recommender systems 100%
  • Demonstrations 20%
  40 Citations (Scopus)

• Veracity-aware and event-driven personalized news recommendation for fake news mitigation

  Wang, S., Xu, X., Zhang, X., Wang, Y. & Song, W., 2022, WWW 2022 - Proceedings of the ACM Web Conference 2022. New York, NY: Association for Computing Machinery, p. 3673-3684 12 p.

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

  • Concretes 100%
  • Experiments 52%
  43 Citations (Scopus)

• WISE: wavelet based interpretable stock embedding for risk-averse portfolio management

  Zhu, M., Wang, Y., Wu, F., Yang, M., Chen, C., Liang, Q. & Zheng, X., 2022, WWW'22 Companion: Companion Proceedings of the Web Conference 2022. Laforest, F., Troncy, R., Médini, L. & Herman, I. (eds.). New York: Association for Computing Machinery (ACM), p. 1-11 11 p.

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

  Open Access

  • Wavelet decomposition 100%
  • Covariance matrix 83%
  • Time series 70%
  • Experiments 29%
  3 Citations (Scopus)
• 2021

  An adaptive news-driven method for CVaR-sensitive online portfolio selection in non-stationary financial markets

  Liang, Q., Zhu, M., Zheng, X. & Wang, Y., 2021, Proceedings of the Thirtieth International Joint Conference on Artificial Intelligence, IJCAI 2021. Zhou, Z-H. (ed.). Freiburg, Germany: International Joint Conferences on Artificial Intelligence, p. 2708-2715 8 p. (IJCAI International Joint Conference on Artificial Intelligence).

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

  Open Access

  • Financial markets 100%
  • Experiments 7%
  15 Citations (Scopus)

• Cross-domain recommendation: challenges, progress, and prospects

  Zhu, F., Wang, Y., Chen, C., Zhou, J., Li, L. & Liu, G., 2021, Proceedings of the Thirtieth International Joint Conference on Artificial Intelligence (IJCAI 2021). Zhou, Z-H. (ed.). Freiburg, Germany: International Joint Conferences on Artificial Intelligence, p. 4721-4728 8 p. (IJCAI International Joint Conference on Artificial Intelligence).

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

  Open Access

  • Taxonomies 100%
  • Recommender systems 95%
  84 Citations (Scopus)

• Graph learning based recommender systems: a review

  Wang, S., Hu, L., Wang, Y., He, X., Sheng, Q. Z., Orgun, M. A., Cao, L., Ricci, F. & Yu, P. S., 2021, Proceedings of the Thirtieth International Joint Conference on Artificial Intelligence, IJCAI 2021. Zhou, Z-H. (ed.). Freiburg, Germany: International Joint Conferences on Artificial Intelligence, p. 4644-4652 9 p. (IJCAI International Joint Conference on Artificial Intelligence).

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

  Open Access

  • Recommender systems 100%
  • Collaborative filtering 16%
  102 Citations (Scopus)

• Next-item recommendations in short sessions

  Song, W., Wang, S., Wang, Y. & Wang, S., 2021, Proceedings, 15th ACM Conference on Recommender Systems (RecSys '21). New York, NY: Association for Computing Machinery (ACM), p. 282-291 10 p.

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

  Open Access

  • Recommender systems 100%
  • Experiments 7%
  33 Citations (Scopus)
• 2020

  A decentralized collaborative approach to online edge user allocation in edge computing environments

  Peng, Q., Xia, Y., Wang, Y., Wu, C., Zheng, W., Luo, X., Pang, S., Ma, Y. & Jiang, C., 2020, 2020 IEEE International Conference on Web Services (IEEE ICWS 2020). Piscataway, NJ: Institute of Electrical and Electronics Engineers (IEEE), p. 294-301 8 p. (Proceedings - 2020 IEEE 13th International Conference on Web Services, ICWS 2020).

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

  • Edge computing 100%
  • Servers 58%
  • Geographical distribution 20%
  • Costs 15%
  • Fuzzy control 13%
  14 Citations (Scopus)

• A decentralized reactive approach to online task offloading in mobile edge computing environments

  Peng, Q., Xia, Y., Wang, Y., Wu, C., Luo, X. & Lee, J., 2020, Service-Oriented Computing: 18th International Conference, ICSOC 2020 Dubai, United Arab Emirates, December 14–17, 2020 Proceedings. Kafeza, E., Benatallah, B., Martinelli, F., Hacid, H., Bouguettaya, A. & Motahari, H. (eds.). Cham, Switzerland: Springer, Springer Nature, p. 232-247 16 p. (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); vol. 12571 LNCS).

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

  • Decentralized 100%
  • Edge computing 95%
  • Computing 48%
  • Server 41%
  • Resources 36%
  8 Citations (Scopus)

• A graphical and attentional framework for dual-target cross-domain recommendation

  Zhu, F., Wang, Y., Chen, C., Liu, G. & Zheng, X., 2020, Proceedings of the 29th International Joint Conference on Artificial Intelligence, IJCAI 2020. Bessiere, C. (ed.). California: International Joint Conferences on Artificial Intelligence, p. 3001-3008 8 p. (IJCAI International Joint Conference on Artificial Intelligence; vol. 2021-January).

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

  Open Access

  • Experiments 100%
  119 Citations (Scopus)

• Double-wing mixture of experts for streaming recommendations

  Zhao, Y., Wang, S., Wang, Y., Liu, H. & Zhang, W., 2020, Web Information Systems Engineering – WISE 2020: 21st International Conference Amsterdam, The Netherlands, October 20–24, 2020 Proceedings, Part II. Huang, Z., Beek, W., Wang, H., Zhou, R. & Zhang, Y. (eds.). Cham, Switzerland: Springer, Springer Nature, p. 269-284 16 p. (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); vol. 12343 LNCS).

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

  • User Preferences 100%
  • Mixture of Experts 86%
  • Streaming 70%
  • Recommendations 56%
  • Recommender Systems 24%
  4 Citations (Scopus)

• Early detection of rumours on Twitter via stance transfer learning

  Tian, L., Zhang, X., Wang, Y. & Liu, H., 2020, Advances in Information Retrieval: 42nd European Conference on IR Research, ECIR 2020, Lisbon, Portugal, April 14–17, 2020, Proceedings, Part I. Jose, J. M., Yilmaz, E., Magalhães, J., Castells, P., Ferro, N., Silva, M. J. & Martins, F. (eds.). Cham, Switzerland: Springer, Springer Nature, p. 575-588 14 p. (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); vol. 12035 LNCS).

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

  Open Access

  • Transfer Learning 100%
  • Transfer learning 63%
  • Convolutional neural networks 36%
  • Neural Networks 28%
  • Content Analysis 13%
  44 Citations (Scopus)

• Fine-grained tumor segmentation on computed tomography slices by leveraging bottom-up and top-down strategies

  Yu, Z., Pang, S., Du, A., Orgun, M., Wang, Y. & Lin, H., 2020, Medical Imaging 2020: Image Processing. Išgum, I. & Landman, B. A. (eds.). Bellingham, WA: SPIE, p. 1-7 7 p.

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

  • Tumors 100%
  • Tomography 93%
  • tumors 93%
  • Convolutional neural networks 88%
  • tomography 77%
  2 Citations (Scopus)

• Intention2Basket: a neural intention-driven approach for dynamic next-basket planning

  Wang, S., Hu, L., Wang, Y., Sheng, Q. Z., Orgun, M. & Cao, L., 2020, Proceedings of the 29th International Joint Conference on Artificial Intelligence, IJCAI 2020. Bessiere, C. (ed.). California: International Joint Conferences on Artificial Intelligence, p. 2333-2339 7 p. (IJCAI International Joint Conference on Artificial Intelligence; vol. 2021-January).

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

  Open Access

  • Planning 100%
  • Nutrition 66%
  • Entertainment 57%
  • Experiments 18%
  41 Citations (Scopus)

• Intention Nets: psychology-inspired user choice behavior modeling for next-basket prediction

  Wang, S., Hu, L., Wang, Y., Sheng, Q. Z., Orgun, M. & Cao, L., 2020, The Thirty-Fourth AAAI Conference on Artificial Intelligence (AAAI-20). Palo Alto, CA: Association for the Advancement of Artificial Intelligence, p. 6259-6266 8 p. (AAAI 2020 - 34th AAAI Conference on Artificial Intelligence).

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

  Open Access

  • Recommender systems 100%
  • Temperature 39%
  • Experiments 35%
  53 Citations (Scopus)

• Modelling local and global dependencies for next-item recommendations

  Wang, N., Wang, S., Wang, Y., Sheng, Q. Z. & Orgun, M., 2020, Web Information Systems Engineering – WISE 2020: 21st International Conference Amsterdam, The Netherlands, October 20–24, 2020 Proceedings, Part II. Huang, Z., Beek, W., Wang, H., Zhou, R. & Zhang, Y. (eds.). Cham, Switzerland: Springer, Springer Nature, p. 285-300 16 p. (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); vol. 12343 LNCS).

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

  • Mixed Graphs 100%
  • Recommendations 77%
  • Recommender systems 71%
  • Modeling 46%
  • Recommender Systems 44%
  16 Citations (Scopus)

• Online portfolio selection with cardinality constraint and transaction costs based on contextual bandit

  Zhu, M., Zheng, X., Wang, Y., Liang, Q. & Zhang, W., 2020, Proceedings of the 29th International Joint Conference on Artificial Intelligence, IJCAI 2020. Bessiere, C. (ed.). California: International Joint Conferences on Artificial Intelligence, p. 4682-4689 8 p. (IJCAI International Joint Conference on Artificial Intelligence; vol. 2021-January).

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

  Open Access

  • Financial markets 100%
  • Costs 63%
  • Experiments 29%
  9 Citations (Scopus)

• On the detection of shilling attacks in federated collaborative filtering

  Jiang, Y., Zhou, Y., Wu, D., Li, C. & Wang, Y., 2020, Proceedings - 2020 International Symposium on Reliable Distributed Systems, SRDS 2020. Piscataway, NJ: Institute of Electrical and Electronics Engineers (IEEE), p. 185-194 10 p. (Proceedings of the IEEE Symposium on Reliable Distributed Systems; vol. 2020-September).

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

  • Collaborative filtering 66%
  • Attack 59%
  • Detector 46%
  • Detectors 30%
  • Learning 26%
  19 Citations (Scopus)

• Updates-aware graph pattern based node matching

  Sun, G., Liu, G., Wang, Y. & Zhou, X., 2020, Proceedings - 2020 IEEE 36th International Conference on Data Engineering, ICDE 2020. Piscataway, NJ: Institute of Electrical and Electronics Engineers (IEEE), p. 697-708 12 p. (Proceedings - International Conference on Data Engineering; vol. 2020-April).

  Research output: Chapter in Book/Report/Conference proceeding › Conference proceeding contribution › peer-review
  2 Citations (Scopus)
• 2019

  DTCDR: a framework for Dual-Target Cross-Domain Recommendation

  Zhu, F., Chen, C., Wang, Y., Liu, G. & Zheng, X., 2019, CIKM 2019 - Proceedings of the 28th ACM International Conference on Information and Knowledge Management: Proceedings of the 28th ACM International Conference on Information and Knowledge Management. New York: Association for Computing Machinery (ACM), p. 1533-1542 10 p.

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

  • Rating 100%
  • Leverage 53%
  • User Profile 50%
  • Recommender Systems 44%
  • Tag 40%
  161 Citations (Scopus)

• Joint operator scaling and placement for Distributed Stream Processing applications in edge computing

  Peng, Q., Xia, Y., Wang, Y., Wu, C., Luo, X. & Lee, J., 2019, Service-Oriented Computing: 17th International Conference, ICSOC 2019, Proceedings. Yangui, S., Rodriguez, I. B., Drira, K. & Tari, Z. (eds.). Cham: Springer, Springer Nature, p. 461-476 16 p. (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); vol. 11895 LNCS).

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

  • Stream Processing 100%
  • Distributed Processing 93%
  • Data flow graphs 80%
  • Edge computing 68%
  • Quality of Service 65%
  9 Citations (Scopus)

• Modeling multi-purpose sessions for next-item recommendations via mixture-channel purpose routing networks

  Wang, S., Hu, L., Wang, Y., Sheng, Q. Z., Orgun, M. & Cao, L., 2019, 2019 International Joint Conference on Artificial Intelligence. Kraus, S. (ed.). International Joint Conferences on Artificial Intelligence, p. 3771-3777 7 p.

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

  Open Access

  • Network routing 100%
  • Milk 37%
  • Recommender systems 27%
  116 Citations (Scopus)

• N2TM: a new node to trust matrix method for spam worker defense in crowdsourcing environments

  Ye, B., Wang, Y., Orgun, M. & Sheng, Q. Z., 2019, Service-Oriented Computing: 17th International Conference, ICSOC 2019, Proceedings. Yangui, S., Bouassida Rodriguez, I., Drira, K. & Tari, Z. (eds.). Switzerland: Springer, p. 119-134 16 p. (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); vol. 11895 LNCS).

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

  • Spam 100%
  • Crowdsourcing 66%
  • Matrix Method 63%
  • Vertex of a graph 32%
  • Deep learning 16%
  1 Citation (Scopus)

• Relationship network augmented web services clustering

  Cao, Y., Liu, J., Shi, M., Cao, B., Zhang, X. & Wang, Y., 2019, 2019 IEEE International Conference on Web Services. Bertino, E., Chang, C. K., Chen, P., Damiani, E., Damiani, E., Goul, M. & Oyama, K. (eds.). Los Alamitos, California: Institute of Electrical and Electronics Engineers (IEEE), p. 247-254 8 p. 8818427

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

  • Network Relationships 100%
  • Web Services 91%
  • Clustering 74%
  • Web services 74%
  • Semantics 55%
  15 Citations (Scopus)

• Sequential recommender systems: challenges, progress and prospects

  Wang, S., Hu, L., Wang, Y., Cao, L., Sheng, Q. Z. & Orgun, M., Aug 2019, Proceedings of the 28th International Joint Conference on Artificial Intelligence, IJCAI 2019. Kraus, S. (ed.). California: International Joint Conferences on Artificial Intelligence, Vol. 2019-August. p. 6332-6338 7 p.

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

  Open Access

  • Recommender systems 100%
  • Collaborative filtering 18%
  248 Citations (Scopus)
• 2018

  A deep framework for Cross-Domain and Cross-System Recommendations

  Zhu, F., Wang, Y., Chen, C., Liu, G., Orgun, M. & Wu, J., 2018, Proceedings of the Twenty-Seventh International Joint Conference on Artificial Intelligence (IJCAI-18). Lang, J. (ed.). Freiburg: International Joint Conferences on Artificial Intelligence, p. 3711-3717 7 p.

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

  Open Access

  • Recommender systems 100%
  • Deep neural networks 72%
  • Factorization 49%
  • Experiments 8%
  97 Citations (Scopus)

• A recommendation algorithm based on dynamic user preference and service quality

  Zhang, Y., Qian, Y. & Wang, Y., 2018, Proceedings, 2018 IEEE International Conference on Web Services: IEEE ICWS 2018, Part of the 2018 IEEE World Congress on Services. Los Alamitos, California: Institute of Electrical and Electronics Engineers (IEEE), p. 91-98 8 p. 8456336

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

  • User Preferences 100%
  • Service Quality 60%
  • Quality of Service 44%
  • Quality of service 40%
  • Dirichlet 17%
  13 Citations (Scopus)

• Context-aware trustworthy service evaluation and recommendation in Social Internet of Things

  Khani, M., Wang, Y., Orgun, M. A. & Zhu, F., 2018, Service-oriented computing: 16th International Conference, ICSOC 2018, Proceedings. Pahl, C., Vukovic, M., Yin, J. & Yu, Q. (eds.). Switzerland: Springer, Springer Nature, p. 129-145 17 p. (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); vol. 11236 LNCS).

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

  • Context-aware 100%
  • Internet of Things 96%
  • Recommendations 57%
  • Internet of things 44%
  • Evaluation 38%
  25 Citations (Scopus)

• Incremental Graph Pattern based Node Matching

  Sun, G., Liu, G., Wang, Y., Orgun, M. & Zhou, X., 24 Oct 2018, 2018 IEEE 34th International Conference on Data Engineering (ICDE). Piscataway, NJ: Institute of Electrical and Electronics Engineers (IEEE), p. 281-292 12 p.

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

  • Query processing 100%
  • Node 85%
  • Graph 85%
  • Incremental 79%
  • Labels 76%
  8 Citations (Scopus)

• Recurrent Collaborative Filtering for unifying general and sequential recommender

  Dong, D., Zheng, X., Zhang, R. & Wang, Y., 2018, Proceedings of the Twenty-Seventh International Joint Conference on Artificial Intelligence (IJCAI-18). Lang, J. (ed.). California: International Joint Conferences on Artificial Intelligence, p. 3350-3356 7 p.

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

  Open Access

  • Collaborative filtering 100%
  • Multi-task learning 19%
  • Recurrent neural networks 15%
  • Factorization 14%
  25 Citations (Scopus)
• 2017

  CrowdDefense: a trust vector-based threat defense model in crowdsourcing environments

  Ye, B., Wang, Y. & Liu, L., 7 Sept 2017, 2017 IEEE 24th International Conference on Web Services (ICWS) : proceedings. Altintas, I. & Chen, S. (eds.). Piscataway, NJ: Institute of Electrical and Electronics Engineers (IEEE), p. 245-252 8 p. 8029768

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

  • Crowdsourcing 100%
  • Spam 64%
  • Threat 63%
  • Workers 62%
  • Sabotage 8%
  9 Citations (Scopus)
• 2016

  A dispute arbitration protocol based on a peer-to-peer service contract management scheme

  Zou, J., Wang, Y. & Orgun, M. A., 31 Aug 2016, Proceedings - 2016 IEEE International Conference on Web Services, ICWS 2016. ReiffMarganiec, S. (ed.). Piscataway, NJ: Institute of Electrical and Electronics Engineers (IEEE), p. 41-48 8 p. 7557983

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

  • Monitoring 100%
  • Bitcoin 82%
  • Blockchain 69%
  • Sustainable development 52%
  • Cloud computing 52%
  29 Citations (Scopus)

• A dynamic grouping-based trust model for mobile P2P networks

  Jia, M., Wang, H., Ye, B. & Wang, Y., 31 Aug 2016, SCC 2016: Proceedings of the 2016 IEEE International Conference on Services Computing. Zhang, J., Miller, J. A. & Xu, X. (eds.). Piscataway, NJ: Institute of Electrical and Electronics Engineers (IEEE), p. 848-851 4 p.

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

  • Wireless networks 100%
  • Peer to peer networks 76%
  • Mobile computing 53%
  • Topology 43%
  • Experiments 22%
  5 Citations (Scopus)

• An uncertain assessment compatible incentive mechanism for eliciting continual and truthful assessments of cloud services

  Qu, L., Wang, Y. & Orgun, M., 2016, Service-Oriented Computing - 14th International Conference, ICSOC 2016, Proceedings. Sheng, Q. Z., Stroulia, E., Tata, S. & Bhiri, S. (eds.). Switzerland: Springer, Springer Nature, Vol. 9936 LNCS. p. 335-351 17 p. (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); vol. 9936 LNCS).

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

  • Incentive Mechanism 100%
  • Testing 24%
  • Theoretical Analysis 8%
  • Dynamic Performance 8%
  • Arbitrary 7%
  1 Citation (Scopus)

• A robust approach to finding trustworthy influencer in trust-oriented E-commerce environments

  Zhu, F., Liu, G., Wang, Y., Orgun, M. A., Liu, A., Li, Z. & Zheng, K., 2016, Service-Oriented Computing - 14th International Conference, ICSOC 2016, Proceedings. Sheng, QZ., Stroulia, E., Tata, S. & Bhiri, S. (eds.). Switzerland: Springer, Springer Nature, Vol. 9936 LNCS. p. 387-401 15 p. (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); vol. 9936 LNCS).

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

  • Social Influence 100%
  • Electronic Commerce 89%
  • Electronic commerce 66%
  • Camouflage 41%
  • Social Networks 39%
  1 Citation (Scopus)

• Capturing semantic correlation for item recommendation in tagging systems

  Chen, C., Zheng, X., Wang, Y., Hong, F. & Chen, D., 2016, Proceedings of the 30th AAAI Conference on Artificial Intelligence (AAAI-16). Palo Alto, CA: Association for the Advancement of Artificial Intelligence, p. 108-114 7 p.

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

  • Collaborative filtering 100%
  • Semantics 60%
  • Factorization 21%
  • Experiments 7%
  34 Citations (Scopus)

• CrowdRec: Trust-aware worker recommendation in crowdsourcing environments

  Ye, B. & Wang, Y., 31 Aug 2016, Proceedings - 2016 IEEE International Conference on Web Services, ICWS 2016. Reiff-Marganiec, S. (ed.). Piscataway, NJ: Institute of Electrical and Electronics Engineers (IEEE), p. 1-8 8 p. 7557978

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

  • Crowdsourcing 100%
  20 Citations (Scopus)

• Strong social component-aware trust sub-network extraction in contextual social networks

  Liu, G., Wang, Y., Orgun, M. A., Zheng, X., Liu, A., Li, Z. & Zheng, K., 31 Aug 2016, ICWS 2016: IEEE International Conference on Web Services : proceedings. Reiff-Marganiec, S. (ed.). Piscataway, NJ: Institute of Electrical and Electronics Engineers (IEEE), p. 107-114 8 p. 7557991

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

  • Crowdsourcing 100%
  • Computational complexity 69%
  • Decision making 61%
  • Costs 32%
  • Experiments 30%
  3 Citations (Scopus)
• 2015

  A Context-Aware Trust-Oriented Influencers Finding in Online Social Networks

  Zhu, F., Liu, G., Wang, Y., Liu, A., Li, Z., Zhao, P. & Li, L., 13 Aug 2015, Proceedings - 2015 IEEE International Conference on Web Services, ICWS 2015. Miller, JS. (ed.). Piscataway, NJ: Institute of Electrical and Electronics Engineers (IEEE), p. 456-463 8 p. 7195602

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

  • Decision making 100%
  • Experiments 49%
  2 Citations (Scopus)

• BiNet: trust sub-network extraction using binary ant colony algorithm in contextual social networks

  Zheng, X., Wang, Y. & Orgun, M. A., 2015, Proceedings - 2015 IEEE International Conference on Web Services, ICWS 2015. Miller, J. A. & Zhu, H. (eds.). Piscataway, NJ: Institute of Electrical and Electronics Engineers (IEEE), p. 321-328 8 p.

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

  • Computational complexity 100%
  • Decision making 88%
  • Experiments 43%
  7 Citations (Scopus)