 |
|
About Me
I'm an Assistant Professor in the Department of Computer Science and Engineering at the University of North Texas (UNT), where I direct the Responsible AI Lab. Before joining UNT, I was a Postdoctoral Fellow/Scholar with Dr. Chirag Shah at the University of Washington, Seattle (2020-2022). I received my Ph.D. in Computer Science with Dr. Qing (Charles) Cao in 2020 from the University of Tennessee, Knoxville, USA, and obtained my B.E. and M.E. degrees from Beijing University of Technology, China. My research interest lies in Responsible AI, Generative AI, and Data Security & Privacy. I am also the recipient of the 2023 IEEE Smart Computing Special Technical Community Early Career Award for the contributions to smart computing and responsible computing. Besides research, I love playing sports, including half marathons, tennis, soccer, and fishing. I am also co-directing the Master's Program in Artificial Intelligence at UNT, which is the first Master of Science in AI in Texas and is one of few nationwide.
We are always looking for motivated undergraduate students, graduate students (Masters and PhDs) and postdoctoral fellows to join the Responsible AI Lab. Don't hesitate to get in touch with Yunhe for more information.
Published Papers
 |
S. Dong, Y. Feng, Q. Yang, Y. Huang, D. Liu, and H. Fan. Efficient Multimodal Semantic Segmentation via Dual-Prompt Learning (arXiv preprint), 2024. [Paper][Code] |
 |
C. Clemmer, J. Ding, and Y. Feng. PreciseDebias: An Automatic Prompt Engineering Approach for Generative AI to Mitigate Image Demographic Biases IEEE/CVF Winter Conference on Applications of Computer Vision (WACV), 2024. [Paper][Code] |
 |
G. Cao, Z. Wang, Y. Feng, X. Dong, Z. Zhang, Z. Qin, and K. Ren. Task-Free Fairness-Aware Bias Mitigation for Black-Box Deployed Models IEEE Transactions on Dependable and Secure Computing (TDSC), 2023. [Paper] |
 |
Y. Feng, Z. Meng, C. Clemmer, H. Fan, and Y. Huang. A Multi-granularity Decade-Long Geo-Tagged Twitter Dataset for Spatial Computing 31st ACM SIGSPATIAL International Conference on Advances in Geographic Information Systems (SIGSPATIAL), 2023. [Paper][Website][Geo-Aware-LLM][JSON APIs][Tweet Rehydration] |
 |
L. Zhang, Z. Wang, X. Dong, Y. Feng, X. Pang, Z. Zhang, and K. Ren. Towards Fairness-aware Adversarial Network Pruning 2023 International Conference on Computer Vision (ICCV), 2023. (Acceptance rate: 26.2%) [Paper] |
 |
P. Dammu, Y. Feng and C. Shah Addressing Weak Decision Boundaries in Image Classification by Leveraging Web Search and Generative Models 2023 International Joint Conference on Artificial Intelligence (IJCAI), 2023. (Acceptance rate: 20%, Accept) [Paper] |
 |
Q. Cao and Y. Feng Probabilistic Error Reasoning on IoT Edge Devices 2023 IEEE International Conference on Edge Computing and Communications (EDGE), 2023. (Acceptance rate: 17%) [Paper] |
 |
Y. Feng, S. Vanam, M. Cherukupally, W. Zheng, M. Qiu and H. Chen Investigating Code Generation Performance of ChatGPT with Crowdsourcing Social Data 47th IEEE Computer Software and Applications Conference (COMPSAC), 2023. (Best Track Paper Award, acceptance rate: 27%) [Paper][Prompt Dataset] |
 |
Z. Wang, H. Yang, Y. Feng, P. Sun, H. Guo, Z. Zhang, and K. Ren. Towards Transferable Targeted Adversarial Examples In Conference on Computer Vision and Pattern (CVPR), 2023. (Acceptance rate: 25.78%) [Paper] |
 |
B. Zhang, J. Tian, S. Di, X. Yu, Y. Feng, X. Liang, D. Tao, F. Cappello FZ-GPU: A Fast and High-Ratio Lossy Compressor for Scientific Computing Applications on GPUs The ACM International Symposium on High-Performance Parallel and Distributed Computing (HPDC), 2023. (Acceptance rate: 22.8%) [Paper] |
 |
Y. Feng, P. Poralla, S. Dash, K. Li, V. Desai, and M. Qiu. 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), 2023. (Acceptance rate: 25%) [Paper][Prompt Dataset] |
 |
Y. Feng and C. Shah 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), 2022. (Acceptance rate: 15%, Oral Presentation) [Paper] |
 |
B. Wen, Y. Feng, Y. Zhang, and C. Shah ExpScore: Learning Metrics for Recommendation Explanation The ACM Web Conference (WWW), 2022. [Paper] |
 |
Y. Feng and C. Shah Unifying Telescope and Microscope: A Multi-lens Framework with Open Data for Modeling Emerging Events Information Processing and Management (IP&M), 2021. (Impact factor: 6.222) [Paper] |
 |
Y. Feng, C. Guo, B. Wen, P. Sun, Y. Yue, and D. Tao 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), 2022. [Paper][Code][Slides] |
 |
B. Wen, Y. Feng, Y. Zhang, and C. Shah Towards Generating Robust, Fair, and Emotion-Aware Explanations for Recommender Systems arXiv preprint arXiv:2208.08017, 2022. (Preprint) [Paper] |
 |
Y. Feng, D. Saelid, K. Li, R. Gao, and C. Shah Towards Fairness-Aware Ranking by Defining Latent Groups Using Inferred Features International Workshop on Algorithmic Bias in Search and Recommendation at the 43rd European Conference on Information Retrieval (BIAS@ECIR2021), 2021. [Paper][Slides] |
 |
Y. Feng and W. Zhou Work from Home During the COVID-19 Pandemic: An Observational Study Based on A Large Geo-Tagged COVID-19 Twitter Dataset (UsaGeoCov19) Information Processing and Management (IP&M), 2021. (Impact factor: 6.222) [Paper][Dataset] |
 |
S. Jin, C. Zhang, X. Jiang, Y. Feng, H. Guan, Guanpeng. Li, S. Song, and D. Tao COMET: A Novel Memory-Efficient Deep Learning Training Framework by Using Error-Bounded Lossy Compression Proceedings of the International Conference on Very Large Data Bases (VLDB), 2022. [Paper] |
 |
Y. Feng, H. Niu, F. Wang, S. Ivey, J. Wu, H. Qi, R. Almeida, S. Eda, and Q. Cao SocialCattle: IoT-based Mastitis Detection and Control through Social Cattle Behavior Sensing in Smart Farms IEEE Internet of Things Journal (IoT Journal), 2021. (Impact factor: 9.936) [Paper] |
 |
J. Tian, S. Di, X. Yu, C. Rivera, K. Zhao, S. Jin, Y. Feng, X. Liang, D. Tao, and F. Cappello cuSZ (x): Optimizing Error-Bounded Lossy Compression for Scientific Data on GPUs IEEE International Conference on Cluster Computing (CLUSTER), 2021. [Paper] |
 |
Y. Feng, D. Zhong, P. Sun, W. Zheng, Q. Cao, X. Luo, and Z. Lu Micromobility in Smart Cities: A Closer Look at Shared Dockless E-Scooters via Big Social Data 2021 IEEE International Conference on Communications (ICC), 2021. [Paper][Slides] |
 |
Y. Feng, D. Saelid, K. Li, R. Gao, and C. Shah University of Washington at Text REtrieval Conference (TREC) 2020 Fairness Ranking Track arXiv preprint arXiv:2011.02066, 2020. (Preprint) [Paper] |
 |
Y. Feng, and W. Zhou Is Working From Home The New Norm? An Observational Study Based on a Large Geo-tagged COVID-19 Twitter Dataset arXiv preprint arXiv:2006.08581, 2020. (Preprint) [Paper] |
 |
P. Sun, Z. Wang, L. Wu, Y. Feng, X. Pang, H. qi, and Z. Wang Towards Personalized Privacy-Preserving Incentive for Truth Discovery in Mobile Crowdsensing Systems Transactions on Mobile Computing (TMC), 2020. [Paper] |
 |
Y. Feng, Q. Cao, H. Qi, and S. Ruoti SenCAPTCHA: A Mobile-First CAPTCHA Using Orientation Sensors Proceedings of the ACM on Interactive, Mobile, Wearable and Ubiquitous Technologies (IMWUT, Best Presentation, Audience Award Nomination and Judges Award Nomination @UbiComp2020), 2020. [Paper][Code] |
 |
P. Sun, Z. Wang, Y. Feng, L. Wu, Y. Li, H. Qi, and Z. Wang Towards Personalized Privacy-Preserving Incentive for Truth Discovery in Crowdsourced Binary-Choice Question Answering International Conference on Computer Communications (INFOCOM), 2020. [Paper] |
 |
Y. Feng, Z. Lu, W. Zhou, Z. Wang, and Q. Cao New Emoji Requests from Twitter Users: When, Where, Why, and What We Can Do About Them ACM Transactions on Social Computing (TSC) 3(2), 2020. [Website] [Paper] |
 |
Y. Feng, Z. Chen, D. Wang, J. Chen, and Z. Feng DeepWelding: A Deep Learning Enhanced Approach to GTAW Using Multi-source Sensing Images IEEE Transactions on Industrial Informatics (TII), 2019. (Impact factor: 7.377) [Paper] |
 |
Y. Feng, Z. Lu, Z. Zheng, P. Sun, W. Zhou, R. Huang, and Q. Cao Chasing Total Solar Eclipses on Twitter: Big Social Data Analytics in Once-in-a-lifetime Events 2019 IEEE Global Communications Conference (GLOBECOM), 2019. [Paper] |
 |
Z. Lu, Y. Feng, and Q. Cao Two-level Index for Truss Community Query in Large-Scale Graph 2019 IEEE Global Communications Conference (GLOBECOM), 2019. [Paper] |
 |
P. Sun, L. Wu, Z. Wang, Y. Feng, and Z. Wang SCRA: Structured Compressive Random Access for Efficient Information Collection in IoT IEEE Internet of Things Journal (IoT Journal), 2019. (Impact factor: 9.515) [Paper] |
 |
Y. Feng, W. Zhou, Z. Lu, Z. Wang, and Q. Cao The World Wants Mangoes and Kangaroos: A Study of New Emoji Requests Based on Thirty Million Tweets The Web Conference 2019 (formerly known as WWW), 2019. (Acceptance rate: 20.0%) [Paper] |
 |
Z. Wang, Y. Li, B. Jin, Q. Wang, Y. Feng, Y. Li, and H. Shao AirMouse: Turning a Pair of Glasses into a Mouse in the Air IEEE Internet of Things Journal (IoT Journal), 2019. (Impact factor: 9.515) [Paper] |
 |
Y. Feng, Z. Lu, and Q. Cao Secure Sharing of Private Locations through Homomorphic Bloom Filters 2018 IEEE 4th International Conference on Big Data Security on Cloud (BigDataSecurity), 2018. (Best Paper Award, acceptance rate: 18.6%) [Paper] |
 |
Y. Feng, Z. Lu, W. Zhou, Q. Cao and X. Li A Multi-Granularity Perspective for Spatial Profiling of Mobile Apps Information Sciences 430, (2018): 127-141. (Impact factor: 4.832) [Paper] |
 |
Z. Lu, Y. Feng*, W. Zhou, X. Li, and Q. Cao Inferring Correlation between User Mobility and App Usage in Massive Coarse-grained Data Traces Proceedings of the ACM on Interactive, Mobile, Wearable and Ubiquitous Technologies (IMWUT, the new publication model of UbiComp) 1.4, (2018): 153. (*Corresponding Author, 10-year average acceptance rate: 18.5%) [Paper] |
 |
Z. Lu, Y. Feng, and Q. Cao Decentralized Search for Shortest Path Approximation in Large-scale Complex Networks IEEE International Conference on Cloud Computing Technology and Science (CloudCom), 2017. (Best Track Paper Award, acceptance rate: 29.4%) [Paper] |
 |
Q. Cao, Y. Feng, Z. Lu, H. Qi, L. M. Tolbert, L. Wan, Z. Wang, and W. Zhou Approximate Cardinality Estimation (ACE) in large-scale Internet of Things deployments Ad Hoc Networks, 66, (2017): 52-63. (Impact factor: 3.047) [Paper] |
 |
L. Wan, Z. Wang, Z. Lu, Y. Feng, H. Qi, W. Zhou, and Q. Cao Approximate and Sub-linear Spatial Queries for Large-scale Vehicle Networks IEEE Transactions on Vehicular Technology (TVT), 2017. (Impact factor: 2.243) [Paper] |
Media Coverage
 |
Google’s ‘CEO’ image search gender bias hasn’t really been fixed [UW NEWS] [ACM TECHNEWS] [AAAS EurekAlert!] February, 2022. |  |
Why Isn't There a Sarcasm Emoji? [Financial Times] [Yahoo! Finance] [Business Insider] July, 2020. |
 |
The Algorithm Shows Which New Emoji Twitter Users Want Most [TNW] [News Break] July, 2020. |
 |
'Sarcasm' among most requested emojis according to UT study [WBIR-TV] [Video] August, 2020. |
Grants and Competitions
 |
Y. Feng Two Microsoft Accelerate Foundation Models Research Grants ($20,000x2) September, 2023. |  |
Y. Feng and Z. Compson UNT CENG-COS Seed Grant ($10,000) May, 2023. |
 |
Y. Feng UW Strategic Research Fund (SRF) ($4,000) February, 2022. |
 |
Y. Feng and C. Shah UW-Microsoft Azure Cloud Computing Credits ($20,000) November, 2021. |
 |
Y. Feng NSF-funded XSEDE (Extreme Science and Engineering Discovery Environment ) Startup Allocation ($1,600) October, 2021. |
 |
Y. Feng Google Cloud COVID-19 Research Credits ($9,000), Google Cloud Research Credits ($5,000) July, 2020; January, 2024 |
 |
Y. Feng Kaggle's Open Data Research Grant Award ($2,000) Junuary, 2020. |
 |
Y. Feng and W. Zhou Top 5 Finalists among 600 Teams for 2017 Syngenta Crop Challenge in Analytics hosted by Institute for Operations Research and the Management Sciences (INFORMS) Presented at INFORMS Conference on Business Analytics and Operations Research April, 2017. Presented at INFORMS Annual Meeting October, 2017. [Link] |
Internship & Teaching Experience
 |
Deep Learning Research Intern at Oak Ridge National Laboratory, Oak Ridge, TN May - August, 2018. |
 |
Guest Lecturer for CSS 590 - AI for Social Good, University of Washington - Bothell Spring 2022. |
 |
Guest Lecturer for M455 - Advanced Digital Merchandising, Indiana University Bloomington Fall 2020, Spring 2021, Spring 2022. Guest Lecturer for M485 - Data-Driven Decisions, Indiana University Bloomington Spring 2020. |
 |
Guest Lecturer for ME 686 Human Robot Interaction Fall 2023 Guest Lecturer for BAZN 557 Text Mining, Haslam College of Business Fall 2018, Fall 2019 Teaching Assistant for ECE 453/553 - Computer Communication Networks Spring 2018 Teaching Assistant for COSC 361 - Operating Systems Spring 2015, Fall 2016, Spring 2017 Teaching Assistant for ECE 451 - Computer Systems Architecture Fall 2014 |
|
Lecturer for CSCE 5300 - Introduction to Big Data and Data Science, University of North Texas Fall 2022, Spring 2023 |
Professional Services and Technical Skills
|
Honors & Awards
|
|