Faculty Profile CV | Faculty Information System

Dr. Yunhe Feng

University of North Texas

Computer Science and Engineering

Email: Yunhe.Feng@unt.edu

Education

PhD, University of Tennessee, 2020.

Major: Computer Science

Dissertation Title: Mobile Location Data Analytics, Privacy, and Security

Teaching

Teaching Experience

University of North Texas

CSCE 4999, Senior Thesis, 1 course.

CSCE 5300, Introduction to Big Data and Data Science, 4 courses.

CSCE 5934, Directed Study, 1 course.

CSCE 5950, Master's Thesis, 1 course.

CSCE 6940, Individual Research, 2 courses.

Directed Student Learning

Doctoral Advisory Committee Member, Information Science. (November 2023 – Present).

Doctoral Advisory Committee Member, Computer Science and Engineering. (October 2023 – Present).

Doctoral Advisory Committee Member, Computer Science and Engineering. (August 2023 – Present).

Doctoral Advisory Committee Member, Accounting. (August 2023 – Present).

Doctoral Advisory Committee Member, Computer Science and Engineering. (February 2023 – Present).

Doctoral Advisory Committee Member,"Context-aware events testing on mobile devices," Computer Science and Engineering. (December 1, 2022 – December 1, 2025).

Doctoral Advisory Committee Member, Computer Science and Engineering. (December 2023 – December 2023).

Doctoral Comprehensive Exam Member or Grader, Computer Science and Engineering. (December 2023 – December 2023).

Directed Individual/Independent Study, Computer Science and Engineering. (2023 – 2023).

Doctoral Advisory Committee Member, Computer Science and Engineering. (May 2023 – May 2023).

Doctoral Comprehensive Exam Member or Grader,"Exploring the cryptographic security of the RLWE problem - On Ideal Lattices and Learning with Errors over Rings," Computer Science and Engineering. (January 25, 2023 – January 25, 2023).

Doctoral Advisory Committee Member,"Early detection and prevention of the software quality issues," Computer Science and Engineering. (December 6, 2022 – December 6, 2022).

Research

Published Intellectual Contributions

Conference Proceeding

Feng, Y., Meng, Z., Clemmer, C., Fan, H., Huang, Y. (2023). A Multi-granularity Decade-Long Geo-Tagged Twitter Dataset for Spatial Computing. ACM International Conference on Advances in Geographic Information Systems (SIGSPATIAL).

Zhang, B., Tian, J., Di, S., Yu, X., Feng, Y., Liang, X., Tao, D., Cappello, F. (2023). FZ-GPU: A Fast and High-Ratio Lossy Compressor for Scientific Computing Applications on GPUs. The 32nd ACM International Symposium on High-Performance Parallel and Distributed Computing (HPDC).

Feng, Y., Vanam, S., Cherukupally, M., Zheng, W., Qiu, M., Chen, H. (2023). Investigating Code Generation Performance of ChatGPT with Crowdsourcing Social Data. 47th IEEE Computer Software and Applications Conference (COMPSAC).

Cao, Q., Feng, Y. (2023). Probabilistic Error Reasoning on IoT Edge Devices. IEEE International Conference on Edge Computing and Communications (EDGE).

Feng, Y., Poralla, P., Dash, S., Li, K., Desai, V., Qiu, M. (2023). The Impact of ChatGPT on Streaming Media: A Crowdsourced and Data-Driven Analysis using Twitter and Reddit. International Conference on Intelligent Data and Security (IDS).

Wang, Z., Yang, H., Feng, Y., Sun, P., Guo, H., Zhang, Z., Ren, K. (2023). Towards Transferable Targeted Adversarial Examples. Conference on Computer Vision and Pattern (CVPR).

Wen, B., Feng, Y., Zhang, Y., Shah, C. (2022). ExpScore: Learning Metrics for Recommendation Explanation. Proceedings of the ACM Web Conference (WWW).

Feng, Y., Shah, C. (2022). Has CEO Gender Bias Really Been Fixed? Adversarial Attacking and Improving Gender Fairness in Image Search. Proceedings of the AAAI conference on artificial intelligence (AAAI).

Feng, Y., Zhong, D., Sun, P., Zheng, W., Cao, Q., Luo, X., Lu, Z. (2021). Micromobility in Smart Cities: A Closer Look at Shared Dockless E-Scooters via Big Social Data. IEEE International Conference on Communications (ICC).

Tian, J., Di, S., Yu, X., Rivera, C., Zhao, K., Jin, S., Feng, Y., Liang, X., Tao, D., Cappello, F. (2021). Optimizing Error-Bounded Lossy Compression for Scientific Data on GPUs. IEEE International Conference on Cluster Computing (CLUSTER).

Feng, Y., Saelid, D., Li, K., Gao, R., Shah, C. (2021). Towards Fairness-Aware Ranking by Defining Latent Groups Using Inferred Features. International Workshop on Algorithmic Bias in Search and Recommendation (BIAS).

Feng, Y., Cao, Q., Qi, H., Ruoti, S. (2020). SenCAPTCHA: A Mobile-First CAPTCHA Using Orientation Sensors. Proceedings of the ACM on Interactive, Mobile, Wearable and Ubiquitous Technologies (UbiComp).

Sun, P., Wang, Z., Feng, Y., Wu, L., Li, Y., Qi, H., Wang, Z. (2020). Towards Personalized Privacy-Preserving Incentive for Truth Discovery in Crowdsourced Binary-Choice Question Answering. International Conference on Computer Communications (INFOCOM).

Feng, Y., Lu, Z., Zheng, Z., Sun, P., Zhou, W., Huang, R., Cao, Q. (2019). Chasing Total Solar Eclipses on Twitter: Big Social Data Analytics in Once-in-a-lifetime Events. IEEE Global Communications Conference (GLOBECOM).

Feng, Y., Zhou, W., Lu, Z., Wang, Z., Cao, Q. (2019). The World Wants Mangoes and Kangaroos: A Study of New Emoji Requests Based on Thirty Million Tweets. The World Wide Web Conference (WWW).

Feng, Y., Lu, Z., Cao, Q. (2018). Secure Sharing of Private Locations through Homomorphic Bloom Filters. IEEE 4th International Conference on Big Data Security on Cloud (BigDataSecurity).

Lu, Z., Feng, Y., Zhou, W., Li, X., Cao, Q. (2018). Inferring Correlation between User Mobility and App Usage in Massive Coarse-grained Data Traces. Other. 1(4), 1-21. Proceedings of the ACM on Interactive, Mobile, Wearable and Ubiquitous Technologies (UbiComp).

Journal Article

Feng, Y., Shah, C. (2022). Unifying telescope and microscope: A multi-lens framework with open data for modeling emerging events. Information Processing & Management.

Feng, Y., Zhou, W. (2022). Work from home during the COVID-19 pandemic: An observational study based on a large geo-tagged COVID-19 Twitter dataset (UsaGeoCov19). Information Processing & Management. 59(2), .

Feng, Y., Niu, H., Wang, F., Ivey, S. J., Wu, J. J., Qi, H., Almeida, R. A., Eda, S., Cao, Q. (2022). SocialCattle: IoT-Based Mastitis Detection and Control Through Social Cattle Behavior Sensing in Smart Farms. Other. 9(12), 10130-10138. Institute of Electrical and Electronics Engineers (IEEE). http://dx.doi.org/10.1109/jiot.2021.3122341

Sun, P., Wang, Z., Wu, L., Feng, Y., Pang, X., Qi, H., Wang, Z. (2022). Towards Personalized Privacy-Preserving Incentive for Truth Discovery in Mobile Crowdsensing Systems. IEEE Transactions on Mobile Computing. 21(1), 352-365. Institute of Electrical and Electronics Engineers (IEEE). http://dx.doi.org/10.1109/tmc.2020.3003673

Feng, Y., Lu, Z., Zhou, W., Wang, Z., Cao, Q. (2020). New Emoji Requests from Twitter Users: When, Where, Why, and What We Can Do About Them. Other. 3(2), 1-25. Association for Computing Machinery (ACM). http://dx.doi.org/10.1145/3370750

Feng, Y., Chen, Z., Wang, D., Chen, J., Feng, Z. (2020). DeepWelding: A Deep Learning Enhanced Approach to GTAW Using Multisource Sensing Images. Other. 16(1), 465-474. Institute of Electrical and Electronics Engineers (IEEE). http://dx.doi.org/10.1109/tii.2019.2937563

Wang, Z., Li, Y., Jin, B., Wang, Q., Feng, Y., Li, Y., Shao, H. (2019). AirMouse: Turning a Pair of Glasses Into a Mouse in the Air. IEEE Internet of Things Journal.

Sun, P., Wu, L., Wang, Z., Feng, Y., Wang, Z. (2019). SCRA: Structured Compressive Random Access for Efficient Information Collection in IoT. IEEE Internet of Things Journal.

Feng, Y., Lu, Z., Zhou, W., Cao, Q., Li, X. (2018). A multi-granularity perspective for spatial profiling of mobile apps. Information Sciences.

Wan, L., Wang, Z., Lu, Z., Feng, Y., Qi, H., Zhou, W., Cao, Q. (2018). Approximate and Sublinear Spatial Queries for Large-Scale Vehicle Networks. IEEE Transactions on Vehicular Technology.

Reprinted Article

Kandula, A., Phamornratanakun, T., A., Bhoi, R., El-Mokahal, M., Feng, Y., Li, X. (2024). Generative AI for Cardiac Organoid Florescence Generation.

Presentations Given

Invited Talk

Feng, Y. (Presenter), 2023 NSF HDR Ecosystem Conference, Ethical Concerns and Issues in Generative AI, NSF, United States of America. (2023).

Feng, Y. (Presenter), UNT Data Science Day, Investigating Code Generation Performance of ChatGPT with Crowdsourcing Social Data, UNT, United States of America. (2023).

Feng, Y. (Panelist), UNT Data Science Day, The Real-World Impact of Ethics on AI, UNT, United States of America. (2023).

Feng, Y. (Presenter), Lecture Series co-organized by the Texas A&M Center for Housing & Urban Development and the Institute of Data Science, Responsible Social Computing for Smart City, Texas A&M University, United States of America. (2022 – 2022).

Feng, Y. (Presenter), Luddy School of Informatics, Computing, and Engineering Seminar, Towards a More Responsible World: When Artificial Intelligence, Open Data, and Usable Security Meet Each Other, Indiana University Bloomington, Bloomington, IN, United States of America. (2022 – 2022).

Feng, Y. (Presenter), Brown Bag meetings, The Two Faces of Social Media in Big Data Analytics, Mining, and Modeling, Department of Information Science, UNT, Department of Information Science, UNT, United States of America. (2022 – 2022).

Lecture

Feng, Y. (Presenter), Guest Lecturer for ME 686 Human Robot Interaction, Large Language Models (LLMs): History, Supervised Fine Tuning, Hallucination, and Robotics Application, University of Tennessee, United States of America. (2023).

Feng, Y. (Presenter), CS 458/658 - Introduction to Data Mining, The Two Faces of Social Media in Big Data Analytics and Mining, University of Nevada, Las Vegas, University of Nevada, Las Vegas, United States of America. (2022 – 2022).

Oral Presentation

Feng, Y. (Presenter), 2022 NSF Cybersecurity Summit, Privacy Leakage on Social Media Screenshot, Trusted CI, the NSF Cybersecurity Center of Excellence, Bloomington, IN, United States of America. (2022 – 2022).

Panel Presentation

Ji, Y. (Coordinator/Organizer), Tunc, C. (Panelist), Qiu, C. (Panelist), Feng, Y. (Panelist), Texas CSTA Chapters Conference 2023, Recent Advances in Security and Privacy, United States of America. (2023 – 2023).

Contracts, Grants and Sponsored Research

Grant - Research

Feng, Y. (Principal), "Machine Learning for Autonomous Weld Quality Monitoring," Sponsored by Oak Ridge National Lab - DOE, University of North Texas, $15000 Funded. (2024 – Present).

Feng, Y. (Principal), Compson, Z. G. (Co-Principal), "MINE: Models for Improved Natural-language Exploration—applications for rapid expansion of trait databases for food web modeling," Sponsored by UNT CENG-COS, University of North Texas, $10000 Funded. (2023 – Present).

Feng, Y. (Principal), "PreciseDebias: An Automatic Prompt Engineering Approach for Generative AI to Mitigate Image Demographic Biases," Sponsored by Microsoft, University of North Texas, $20000 Funded. (2023 – Present).

Feng, Y. (Principal), "RAG-PreciseDebias: Mitigating Demographic Bias in Image Generation through Automatic Retrieval Augmented Prompt Engineering," Sponsored by Microsoft, University of North Texas, $20000 Funded. (2023 – Present).

Ding, J. (Principal), Kinshuk, X. (Co-Principal), Fu, S. (Co-Principal), Ludi, S. A. (Co-Principal), Chen, H. (Co-Principal), Hossain, T. (Co-Principal), Xiao, T. (Co-Principal), Feng, Y. (Co-Principal), Cleveland, A. D. (Co-Principal), Smith, D. L. (Co-Principal), Mankins, N. (Co-Principal), Booker, D. D. (Co-Principal), Carrillo, D. (Co-Principal), "NSF Includes ARISE Alliance Membership," Sponsored by Arizona State University, Other, $64800 Funded. (January 16, 2024 – January 15, 2027).

Copyrights, Patents

Patent

Yang, H., Feng, Y., Kandula, A. K., "Generative AI for Cardiac Organoid Image Colorization," 63/618,181. Provisional, United States, Date Submitted to University: 2023 –. Date of Patent Application: 2023 –.

Awards and Honors

2023 IEEE Smart Computing Special Technical Community (SCSTC) Early Career Award, IEEE. (December 1, 2023 – December 31, 2023).

Service

University Service

Co-Director, Master's Program in AI. (September 1, 2023 – December 31, 2023).

Committee Member, PhD Admission Committee. (January 1, 2023 – December 31, 2023).

Other, UNT Diversity and Excellence in Engineering Network (UNT-DEEN). (January 2023 – December 2023).

Committee Member, PhD Admission Committee. (September 15, 2022 – December 31, 2022).

Professional Service

Other, NSF-funded Accelerate Latinx Representation in STEM Education (ALRISE) Alliance. (December 2023 – Present).

Other, Ithaka S+R - Making AI Generative for Higher Education. (September 2023 – Present).

Editor, Associate Editor, ASIS&T Information Matters (IM). (September 1, 2022 – September 1, 2024).

Committee Member, IEEE 29th International Conference on Parallel and Distributed Systems (ICPADS). (October 2023 – December 2023).

Committee Member, 2024 AAAI Undergraduate Consortium (AAAI-UC). (September 2023 – December 2023).

Reviewer, Conference Paper, The Web Conference (WWW). (September 2023 – December 2023).

Other, 8th International Conference on Smart Computing and Communication (SmartCom 2023). (August 2023 – December 2023).

Reviewer, Conference Paper, IEEE/CVF Winter Conference on Applications of Computer Vision (WACV). (August 2023 – December 2023).

Editor, Guest Editor, Special Issue "Applications of Deep Learning Techniques" in Electronics. (August 2023 – December 2023).

Reviewer, Conference Paper, 17th International AAAI Conference on Web and Social Media (ICWSM). (July 2023 – December 2023).

Committee Member, 32nd ACM Int. Conf. on Information and Knowledge Management (CIKM 2023). (January 2023 – December 2023).

Committee Member, AAAI Conference on Artificial Intelligence (AAAI). (January 2023 – December 2023).

Other, Artificial Intelligence training content for CITI Program. (January 2023 – December 2023).

Other, Computing Alliance of Hispanic-Serving Institutions (CAHSI). (January 2023 – December 2023).

Committee Member, Conf. on Empirical Methods in Natural Language Processing (EMNLP) Industry Track. (January 2023 – December 2023).

Reviewer, Journal Article, Information Processing & Management (IP&M). (January 2023 – December 2023).

Reviewer, Journal Article, International Journal of Human-Computer Interaction (IJHCI). (January 2023 – December 2023).

Other, NSF Grant - 1. (January 2023 – December 2023).

Other, NSF Grant - 2. (January 2023 – December 2023).

Reviewer, Ad Hoc Reviewer, NSF Grant - 3. (January 2023 – December 2023).

Other, The 8th IEEE International Conference on Smart Cloud (IEEE SmartCloud - 2023). (December 10, 2022 – September 18, 2023).

Committee Member, First International Conference on AI-generated Content (AIGC 2023). (June 1, 2023 – August 26, 2023).

Committee Member, 2023 IEEE Global Communications Conference (GLOBECOM 2023). (January 2023 – June 2023).

Reviewer, Conference Paper, 61st AnnualMeeting of the Association for Computational Linguistics (ACL). (January 2023 – June 2023).

Reviewer, Conference Paper, Empirical Methods in Natural Language Processing (EMNLP). (January 2023 – June 2023).

Committee Member, International Symposium on Emerging Information Security and Applications (EISA). (January 2023 – June 2023).

Reviewer, Journal Article, IEEE Network Magazine. (January 2023 – May 2023).

Reviewer, Journal Article, Information Sciences. (January 2023 – April 2023).

Committee Member, Usable Security and Privacy (USEC) Symposium 2023 at the Network and Distributed System Security (NDSS 2023). (January 1, 2023 – April 30, 2023).

Reviewer, Journal Article, IEEE Internet of Things Journal (IoT-J). (January 2023 – March 2023).

Reviewer, Journal Article, IEEE Transactions on Intelligent Transportation Systems (T-ITS). (January 2023 – March 2023).

Committee Member, The 6th International AAAI Conference on Web and Social Media (ICWSM 2022-23). (April 1, 2022 – January 31, 2023).

Committee Member, IEEE Global Communications Conference (IEEE GLOBECOM 2022). (August 1, 2022 – December 12, 2022).

Other, Thirty-Seventh AAAI Conference on Artificial Intelligence (AAAI - 2023). (September 1, 2022 – November 30, 2022).