Publications

Journal Articles

  • Cheyenne Ty, Kay Vargas, Yun Wan, Xiwei Wang, Palvi Aggarwal, Shebuti Rayana, and Sherrene Bogle. Investigation of Computing Transfer Students Success. Journal of Computing Sciences in Colleges, Vol. 40, 1: 81-91. October, 2024.
  • Kay Vargas, Victor Diaz, Claire MacDonald, Yun Wan, Xiwei Wang, Palvi Aggarwal, Shebuti Rayana, and Sherrene Bogle. Investigation of Social Cognitive Factors Affecting Computing Transfer Students. Journal of Computing Sciences in Colleges, Vol. 39, 10: 16-22. May, 2024.
  • Longyin Cui and Xiwei Wang. A Cascade Framework for Privacy-Preserving Point-of-Interest Recommender System. Recommender Systems: Approaches, Challenges and Applications, a special issue of Electronics, Vol. 11, 7: 1153, March, 2022.
  • Xiwei Wang, Minh Nguyen, Jonathan Carr, Longyin Cui, and Kiho Lim. A Group Preference-based Privacy-Preserving POI Recommender System. Information & Communications Technology Express, Vol. 6, 3:204-208, September, 2020.
  • Kiho Lim, Weihua Liu, Xiwei Wang, and Jingon Joung. SSKM: Scalable and Secure Key Management Scheme for Group Signature. New Advances of Vehicular Ad Hoc Networks (VANETs), a special issue of Electronics, Vol. 8, 11: 1330, November, 2019.
  • Hao Yang and Xiwei Wang. ECO-CS: Energy Consumption Optimized Compressive Sensing in Group Sensor Networks. Computer Networks, Vol. 146: 159-166, September, 2018.
  • Hao Yang and Xiwei Wang. An Energy-Efficient Transmission Approach Using Regionalized Compressive Sensing. International Journal of Sensor Networks, Vol. 27, 3: 172-179, July, 2018.
  • Hao Yang and Xiwei Wang. Data Gathering Based on Regionalization Compressed Sensing in WSN. Chinese Journal of Computers, Vol. 39, 75: 1-14, April, 2016. (In Chinese)
  • Xiwei Wang, Jun Zhang, and Ruxin Dai. Automated Dimension Determination for NMF-based Incremental Collaborative Filtering. EAI Endorsed Transactions on Collaborative Computing. Vol. 15, 5, December, 2015.
  • Ruxin Dai, Yin Wang, and Xiwei Wang. Effects of Different High Order Compact Computations for Solving Boundary Layer Problems on Nonuniform Grids. Journal of Computational Intelligence and Electronic Systems, Vol. 3, 3: 200-211, 2014.
  • Xiwei Wang, Jun Zhang, Pengpeng Lin, Nirmal Thapa, Yin Wang, and Jie Wang. Incorporating Auxiliary Information in Collaborative Filtering Data Update with Privacy Preservation. International Journal of Advanced Computer Science and Applications, Vol. 5, 4: 224-235, April, 2014
  • Xiwei Wang and Jun Zhang. Handling the Data Growth with Privacy Preservation in Collaborative Filtering. IAENG Transactions on Engineering Technologies, Vol. 229, 231-243, Springer Netherlands, 2013.
  • Haifeng You, Xiwei Wang, Xiang Xu, and Xufa Wang. A Multi-user Interactive Genetic Algorithm and Its Application in Group Design. Journal of University of Science and Technology of China, Vol. 40, 4: 425-430, April, 2010. (In Chinese)

Conference Papers

  • Longyin Cui, Xiwei Wang, Ting Gu, Connor Zhang, and Zongming Fei. Privacy-Enhanced Point-of-Interest Recommendations Using Synthetic Data: A Comparative Study of CTGAN and Clustering Techniques. In Proceedings of the 2025 IEEE Consumer Communications & Networking Conference, January, 2025.
  • Jason Standfast, Julian Franco, Rudy Caraballo, Kay Vargas, Yun Wan, Xiwei Wang, Sherrene Bogle, Palvi Aggarwal, and Shebuti Rayana. Deciding on a College Transfer: Uncovering Transition Queries and Concerns via Reddit Topic Modeling. In Proceedings of the 2024 Decision Science Institute (DSI) Annual Conference. 448-455. August, 2024.
  • Claire MacDonald, Palvi Aggarwal, Xiwei Wang, Yun Wan, Shebuti Rayana, Rudy Caraballo, Sherrene Bogle. What Do Transfer Students Have to Say: An Analysis of The Experience of Transfer Students through Topic Modeling. 2024 ASEE Annual Conference & Exposition, June, 2024.
  • Lizi Zhu, Oleg Perchyk, and Xiwei Wang. An Augmented Machine Learning-Based Course Enrollment Recommender System. In Proceedings of the 2024 ACM Southeast Conference, 319-320. April 2024.
  • Longyin Cui, Xiwei Wang, and Ting Gu. A Generic Data Synthesis Framework for Privacy-Preserving Point-of-Interest Recommender Systems. ACM 2023 International Conference on Research in Adaptive and Convergent Systems. August 6–10, 2023, Gdansk, Poland.
  • Yun Wan, Sri Vishnu Gopinathan, Shebuti Rayana, Palvi Aggarwal, Sherrene Bogle, and Xiwei Wang. A Survey of Student Counseling Systems: Functions, Designs, and Interactions. 2023 Americas Conference on Information Systems (AMCIS) TREOs. August, 2023.
  • Xiwei Wang, Shebuti Rayana, Sherrene Bogle, Palvi Aggarwal, and Yun Wan. A Preliminary Factor Analysis on the Success of Computing Major Transfer Students. In Proceedings of the 2023 ASEE Annual Conference & Exposition. June, 2023.
  • Xiwei Wang, Longyin Cui, Muhammad Bangash, Mohammad Bilal, Luis Rosales and Wali Chaudhry. A Machine Learning-based Course Enrollment Recommender System. In Proceedings of the 14th International Conference on Computer Supported Education. Vol. 1, 437-444. April, 2022.
  • Ting Gu, Kiho Lim, Gyu Ho Choi, and Xiwei Wang. A LIDAR Information-based Privacy-Preserving Authentication Scheme Using Elliptic Curve Cryptosystem in VANETs. In Proceedings of the 2022 IEEE 19th Annual Consumer Communications & Networking Conference, 525-526. January, 2022.
  • Longyin Cui, Xiwei Wang, and Jun Zhang. Vendor-based Privacy-Preserving POI Recommendation Network. In Proceedings of the 14th EAI International Conference on Mobile Multimedia Communications, 477-490. April, 2021.
  • Xiwei Wang, Hao Yang, and Kiho Lim. Privacy-Preserving POI Recommendation Using Nonnegative Matrix Factorization. In Proceedings of the 2018 IEEE Symposium on Privacy-Aware Computing, 117-118. Washington D.C., USA. September 26-28, 2018.
  • Fatemah Alghamedy, Xiwei Wang, and Jun Zhang. Imputing Trust Network Information in NMF-based Collaborative Filtering. In Proceedings of the ACMSE 2018 Conference, 2: 1-8. Richmond, KY, USA. March 29-31, 2018.
  • Kiho Lim, Kastuv M. Tuladhar, Xiwei Wang, and Weihua Liu. A Scalable and Secure Key Distribution Scheme for Group Signature based Authentication in VANET. In Proceedings of the 8th IEEE Annual Ubiquitous Computing, Electronics & Mobile Communication Conference. New York City, NY, USA. October 19-21, 2017.
  • Hao Yang, Hua Xu, and Xiwei Wang. Regionalization Compressive Sensing for Optimizing Lifetime of Sensor Networks. In Proceedings of the 12th International Conference on Wireless Algorithms, Systems, and Applications, 175-184. Guilin, China. June 19-21, 2017.
  • Hao Yang, Keming Tang, Hua Xu, and Xiwei Wang. Energy-efficient Transmission Based on Compressive Sensing in WSN. In Proceedings of the 2017 IEEE Wireless Communications and Networking Conference. San Francisco, California, USA. March 19-22, 2017.
  • Xiwei Wang, Jun Zhang, and Yin Wang. Trust-aware Privacy-Preserving Recommender System. In Proceedings of the 9th International Conference on Mobile Multimedia Communications, 107-115. Xi’an, China, June 18-20, 2016.
  • Hao Yang, Keming Tang, Hua Xu, Licai Zhu, Xiwei Wang, and Kun Qian. An Adaptable CS-based Transmission Scheme. In Proceedings of the 2016 IEEE International Conference on Computer Communications, 625-626. San Francisco, California, USA, April 10-15, 2016.
  • Kiho Lim and Xiwei Wang. NMF-Based Privacy Preservation in Vehicular Communication. IEEE SoutheastCon 2015 Conference, 1-2. Fort Lauderdale, FL, USA, April 10-11, 2015.
  • Xiwei Wang and Jun Zhang. Using Incremental Clustering Technique in Collaborative Filtering Data Update. In Proceedings of the 15th IEEE International Conference on Information Reuse and Integration, 420-427. San Francisco, California, USA, August 13-15, 2014.
  • Pengpeng Lin, Jun Zhang, Xiwei Wang, and Art Shindhelm. Simultaneous Pattern and Data Hiding in Supervised Learning. In Proceedings of the 13th IEEE International Conference on Information Reuse and Integration, 385-392. Las Vegas, Nevada, USA, August 8-10, 2012.
  • Xiwei Wang and Jun Zhang. SVD-based Privacy Preserving Data Updating in Collaborative Filtering. In Proceedings of the World Congress on Engineering 2012, Vol. I. London, U.K., July 4-6, 2012.
  • Xiwei Wang, Erik von der Osten, Xuzi Zhou, Hui Lin, and Jinze Liu. A Case Study of Recommendation Algorithms. In Proceedings of 2011 International Conference on Computational and Information Sciences, 410-417. Chengdu, China, October 21-23, 2011.
  • Xiwei Wang, Haifeng You, and Xufa Wang. Interest-Based Trust Propagation in Blog Community. In Proceedings of the 6th International Conference on Fuzzy Systems and Knowledge Discovery, Vol. 7, 555-560. Tianjin, China, August 14-16, 2009.