Faculty Profile

Yunhe Feng

Title
Assistant Professor
Department
Computer Science and Engineering
College
College of Engineering

    

    

      


                          

            
Curriculum Vitae

            

              Click Here to View Faculty CV
            

          

        
                          

            
Education

            



  

  


  
PhD, University of Tennessee, 2020. 
Major: Computer Science
Dissertation Title: Mobile Location Data Analytics, Privacy, and Security





          

        
                

          
Current Scheduled Teaching*


          
CSCE 6940.973, Individual Research, Spring 2024 
CSCE 5300.001, Introduction to Big Data and Data Science, Spring 2024 
CSCE 5950.873, Master's Thesis, Spring 2024 
CSCE 4999.773, Senior Thesis, Spring 2024 


          
*
  Texas Education Code 51.974 (HB 2504) requires each institution of
  higher education to make available to the public, a syllabus for
  undergraduate lecture courses offered for credit by the institution.
  

        

      

    

  


    

    

      


        


          


            
Previous Scheduled Teaching*


            
                    

                    CSCE 5934.872, Directed Study, Fall 2023 
                    

                    CSCE 6940.864, Individual Research, Fall 2023 
                    

                    CSCE 5300.005, Introduction to Big Data and Data Science, Fall 2023  SPOT
                    

                    CSCE 5300.009, Introduction to Big Data and Data Science, Spring 2023 Syllabus SPOT
                    

                    CSCE 5300.005, Introduction to Big Data and Data Science, Fall 2022 Syllabus SPOT

          


          
*
  Texas Education Code 51.974 (HB 2504) requires each institution of
  higher education to make available to the public, a syllabus for
  undergraduate lecture courses offered for credit by the institution.
  

        

      

    

  

  
  	

	

	  

		

		   
Published Publications



  

  
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. 



	
		
		
	  

	

	

  
    
	

	

	  

		

		   
Awarded Grants



  
  
  	  
          
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).
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. (September 1, 2022 – September 1, 2023).



	
		
		
	  

	

	

	
	

  
  
  

  	

		

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					Overall
Summative Rating		
					Challenge and
Engagement Index		
					Response Rate
					
				

			
			
				

					
					
out of 5		
					
out of 7		
					%
 of 
students responded		
					
					
				

			
		


		
    
			
  • Overall Summative Rating (median):
    
			This rating represents the combined responses of students to the four global summative items and is presented to provide an overall index of the class’s quality. Overall summative statements include the following (response options include a Likert scale ranging from 5 = Excellent, 3 = Good, and 1= Very poor):
				
      
					
    • The course as a whole was
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    • The course content was
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    • The instructor’s contribution to the course was
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    • The instructor’s effectiveness in teaching the subject matter was
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  • Challenge and Engagement Index:
    
			This rating combines student responses to several SPOT items relating to how academically challenging students found the course to be and how engaged they were. Challenge and Engagement Index items include the following (response options include a Likert scale ranging from 7 = Much higher, 4 = Average, and 1 = Much lower):
				
      
					
    • Do you expect your grade in this course to be
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    • The intellectual challenge presented was
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    • The amount of effort you put into this course was
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    • The amount of effort to succeed in this course was
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    • Your involvement in course (doing assignments, attending classes, etc.) was
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