Yunhe Feng

Previous Scheduled Teaching

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.

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).
• 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).
• 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).
• 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).
• 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. (2024 - 2027).

Sponsored Research

• Feng, Y. (Principal), "Accessing Social Impacts of Emerging Deep Generative Models through Public Big Data," sponsored by HPC AI and Big Data Group at Pittsburgh Supercomputing Center, Local, $3000 Funded. (2022 - 2023).