Yunhe Feng

Previous Scheduled Teaching

Published Intellectual Contributions

Conference Proceeding

• Liu, X., Feng, Y., Hu, S., Yuan, X., Fan, H. (2024). Benchmarking the Robustness of UAV Tracking Against Common Corruptions. 2024 IEEE 7th IEEE International Conference on Multimedia Information Processing and Retrieval.
• Song, S., Huang, Y., Jiang, P., Yu, X., Zheng, W., Di, S., Cao, Q., Feng, Y., Xie, Z., Cappello, F. (2024). CereSZ: Enabling and Scaling Error-bounded Lossy Compression on Cerebras CS-2. Proceedings of the 33rd International Symposium on High-Performance Parallel and Distributed Computing. 309--321.
• Cao, G., Wang, Z., Feng, Y., Dong, X. (2024). DAAP: Privacy-Preserving Model Accuracy Estimation on Unlabeled Datasets Through Distribution-Aware Adversarial Perturbation. USENIX Security.
• Aljedaani, W., Habib, A., Aljohani, A., Eler, M., Feng, Y. (2024). Does ChatGPT Generate Accessible Code? Investigating Accessibility Challenges in LLM-Generated Source Code. Proceedings of the 21st International Web for All Conference. 165--176.
• Dong, S., Feng, Y., Yang, Q., Huang, Y., Liu, D., Fan, H. (2024). Efficient multimodal semantic segmentation via dual-prompt learning. 2024 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS). 14196--14203.
• Ahadian, P., Kosko, K., Feng, Y., Ferdig, R., Guan, Q. (2024). FractionNet: AI-Driven Insights in Transforming Handwritten Fraction Detection for Teacher Education. Society for Information Technology \& Teacher Education International Conference. 1727--1732.
• Ahadian, P., Feng, Y., Kosko, K., Ferdig, R., Guan, Q. (2024). MNIST-Fraction: Enhancing Math Education with AI-Driven Fraction Detection and Analysis. Proceedings of the 2024 ACM Southeast Conference. 284--290.
• Clemmer, C., Ding, J., Feng, Y. (2024). PreciseDebias: An Automatic Prompt Engineering Approach for Generative AI to Mitigate Image Demographic Biases. IEEE/CVF Winter Conference on Applications of Computer Vision (WACV).
• Shaik, K., Wang, D., Zheng, W., Cao, Q., Fan, H., Schwartz, P., Feng, Y. (2024). S3LLM: Large-S cale S cientific S oftware Understanding with LLMs Using Source, Metadata, and Document. International Conference on Computational Science. 222--230.
• Arbaz, A., Fan, H., Ding, J., Qiu, M., Feng, Y. (2024). GenFlowchart: Parsing and Understanding Flowchart Using Generative AI. The 17th International Conference on Knowledge Science, Engineering and Management (KSEM 2024).
• 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).
• Dammu, P., Feng, Y., Shah, C. (2023). Addressing Weak Decision Boundaries in Image Classification by Leveraging Web Search and Generative Models. International Joint Conference on Artificial Intelligence (IJCAI).
• Feng, Y., Meng, Z., Clemmer, C., Fan, H., Huang, Y. (2023). Data and Resources Paper: A Multi-granularity Decade-Long Geo-Tagged Twitter Dataset for Spatial Computing. Proceedings of the 31st ACM International Conference on Advances in Geographic Information Systems. 1--4.
• 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 2023)..
• Feng, Y., Vanam, S., Cherukupally, M., Zheng, W., Qiu, M., Chen, H. (2023). Investigating Code Generation Performance of Chat-GPT with Crowdsourcing Social Data. Proceedings of the 47th IEEE Computer Software and Applications Conference. 1--10.
• Cao, C.Q., Feng, Y. (2023). Probabilistic Error Reasoning on IoT Edge Devices. 2023 IEEE International Conference on Edge Computing and Communications (EDGE). 140--149.
• 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).
• Zhang, L., Wang, Z., Dong, X., Feng, Y., Pang, X., Zhang, Z., Kui, R. (2023). Towards Fairness-aware Adversarial Network Pruning. 2023 International Conference on Computer Vision (ICCV).
• Wang, Z., Yang, H., Feng, Y., Sun, P., Guo, H., Zhang, Z., Ren, K., Scientific, Z.G., Center, T.I. (2023). Towards Transferable Targeted Adversarial Examples. In Conference on Computer Vision and Pattern (CVPR).
• Feng, Y., Guo, C., Wen, B., Sun, P., Yue, Y., Tao, D. (2022). EmojiCloud: a Tool for Emoji Cloud Visualization. The 5th International Workshop on Emoji Understanding and Applications in Social Media at 2022 Annual Conference of the North American Chapter of the Association for Computational Linguistics (EMOJI@NAACL).
• Wen, B., Feng, Y., Zhang, Y., Shah, C. (2022). ExpScore: Learning Metrics for Recommendation Explanation. Proceedings of the ACM Web Conference 2022. 3740--3744.
• 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. ICC 2021-IEEE International Conference on Communications. 1--6.
• 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. 2021 IEEE International Conference on Cluster Computing (CLUSTER). 283--293.
• 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. 1--8.
• 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. 2019 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. 2722--2728.
• Lu, Z., Feng, Y., Cao, Q. (2019). Two-Level Index for Truss Community Query in Large-Scale Graphs. 2019 IEEE Global Communications Conference (GLOBECOM). 1--6.
• Feng, Y., Lu, Z., Cao, Q. (2018). Secure Sharing of Private Locations through Homomorphic Bloom Filters. 2018 IEEE 4th International Conference on Big Data Security on Cloud. 107--113.
• Lu, Z., Feng, Y., Cao, Q. (2017). Decentralized Search for Shortest Path Approximation in Large-scale Complex Networks. 2017 IEEE International Conference on Cloud Computing Technology and Science (CloudCom). 130--137.

Journal Article

• Yang, H., Kumar Reddy Kandula, Arun, Phamornratanakun, T., Huerta Gomez, A., El-Mokahal, M., Ma, Z., Feng, Y. (2024). Abstract We016: Generative Artificial Intelligence for hPSC-derived Cardiac Organoid Florescence Generation. Circulation Research. 135 (Suppl\_1) AWe016--AWe016. Lippincott Williams \& Wilkins Hagerstown, MD.
• Liu, X., Feng, Y., Hu, S., Yuan, X., Fan, H. (2024). Benchmarking the Robustness of UAV Tracking Against Common Corruptions. Other.
• Anjum, S., Zhang, H., Zhou, W., Paek, E.J., Zhao, X., Feng, Y. (2024). HALO: Hallucination Analysis and Learning Optimization to Empower LLMs with Retrieval-Augmented Context for Guided Clinical Decision Making. Other.
• Zhao, H., Chen, H., Ruggles, T.A., Feng, Y., Singh, D., Yoon, H. (2024). Improving Text Classification with Large Language Model-Based Data Augmentation. Other. 13 (13) 2535. MDPI.
• Dong, S., Feng, Y., Yang, Q., Lin, Y., Fan, H. (2024). LoReTrack: Efficient and Accurate Low-Resolution Transformer Tracking. Other.
• Xu, H., Zhang, W., Wang, Z., Xiao, F., Zheng, R., Feng, Y., Ba, Z., Ren, K. (2024). RedAgent: Red Teaming Large Language Models with Context-aware Autonomous Language Agent. Other.
• Jahan, R.I., Fan, H., Chen, H., Feng, Y. (2024). Unlocking Cross-Lingual Sentiment Analysis through Emoji Interpretation: A Multimodal Generative AI Approach. Other.
• Kandula AKR, Phamornratanakun, T., Gomez, A.H., El-Mokahal, M., Ma, Z., Feng, Y., Yang, H. (2024). Generative AI for Cell Type-Specific Fluorescence Image Generation of hPSC-derived Cardiac Organoid.. Other.
• Medisetti, G., Compson, Z.G., Fan, H., Yang, H., Feng, Y. (2024). LitAI: Enhancing Multimodal Literature Understanding and Mining with Generative AI.. Other. 2024 471-476.
• Wang, Z., Zhang, H., Chen, H., Feng, Y., Ding, J. (2024). Content-based Quality Evaluation of Scientific Papers using Coarse Feature and Knowledge Entity Network. Journal of King Saud University - Computer and Information Sciences.
• Cao, G., Wang, Z., Feng, Y., Dong, X., Zhang, Z., Qin, Z., Ren, K. (2023). Task-Free Fairness-Aware Bias Mitigation for Black-Box Deployed Models. Other. Institute of Electrical and Electronics Engineers.
• Wen, B., Feng, Y., Zhang, Y., Shah, C. (2022). Towards Generating Robust, Fair, and Emotion-Aware Explanations for Recommender Systems. Other.
• Feng, Y., Shah, C. (2022). Unifying telescope and microscope: A multi-lens framework with open data for modeling emerging events. Other. 59 (2) 102811. Elsevier.
• 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). Other. 59 (2) 102820. Elsevier.
• Jin, S., Zhang, C., Jiang, X., Feng, Y., Guan, H., Li, G., Song, S.L., Tao, D. (2021). COMET: A Novel Memory-Efficient Deep Learning Training Framework by Using Error-Bounded Lossy Compression. Other.
• Feng, Y., Zhou, W. (2021). Seed Stocking Via Multi-Task Learning. Other.
• Feng, Y., Niu, H., Wang, F., Ivey, S.J., Wu, J.J., Qi, H., Almeida, R.A., Eda, S., Cao, Q. (2021). SocialCattle: IoT-based mastitis detection and control through social cattle behavior sensing in smart farms. Other. 9 (12) 10130--10138. IEEE.
• 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. ACM New York, NY, USA.
• Feng, Y., CAO, Q., QI, H., RUOTI, S. (2020). SenCAPTCHA: A Mobile-First CAPTCHA Using Orientation Sensors. Other. 4 (2) ACM.
• Feng, Y., Saelid, D., Li, K., Gao, R., Shah, C. (2020). University of Washington at TREC 2020 Fairness Ranking Track. Other.
• 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. Other. 6 (5) 7473--7483. IEEE.
• Feng, Y., Chen, Z., Wang, D., Chen, J., Feng, Z. (2019). DeepWelding: A Deep Learning Enhanced Approach to GTAW Using Multisource Sensing Images. Other. 16 (1) 465--474. IEEE.
• Sun, P., Wu, L., Wang, Z., Feng, Y., Wang, Z. (2019). SCRA: Structured Compressive Random Access for Efficient Information Collection in IoT. Other.
• Feng, Y., Lu, Z., Zhou, W., Cao, Q., Li, X. (2018). A multi-granularity perspective for spatial profiling of mobile apps. Information Sciences. 430 127--141. Elsevier.
• 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. 67 (2) 1561--1569. IEEE.
• 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. ACM.
• Cao, Q., Feng, Y., Lu, Z., Qi, H., Tolbert, L.M., Wan, L., Wang, Z., Zhou, W. (2017). Approximate Cardinality Estimation (ACE) in large-scale Internet of Things deployments. Other. 66 52--63. Elsevier.

Other

• Ding, J., Chen, H., Feng, Y., Hossain, T. (2024). Applications of Deep Learning Techniques. Other. 13 (17) 3354. MDPI.

Technical Report

• Kuruganti, T., Omitaomu, O., Ozmen, O., Pullum, L., Klasky, H., Martin, M., Olama, M.M., Karthik, R., Watson, G.R., Smith, R.W., others. (2019). Real-Time Automated Health Information Technology Hazard Detection. Oak Ridge National Lab.(ORNL), Oak Ridge, TN (United States).

Contracts, Grants and Sponsored Research

Grant - Research

• Feng, Y. (Other), Yang, H. (Principal), "Assessing Tyrosine Kinase Inhibitors-induced Cardiotoxicity with an Organoid-AI System," sponsored by NIH, Federal, $547020 Funded. (2024).
• 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).

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).