Faculty Profile

Heng Fan

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

    

    

      


                          

            
Curriculum Vitae

            

              Click Here to View Faculty CV
            

          

        
                          

            
Education

            



  

  


  
PhD, Stony Brook University, 2021. 
Major: Computer Science
Dissertation Title: Algorithms and Benchmarks for Robust Visual Object Tracking





          

        
                

          
Current Scheduled Teaching*


          
CSCE 5218.004, Deep Learning, Spring 2024 Syllabus
CSCE 6950.905, Doctoral Dissertation, Spring 2024 
CSCE 6940.905, Individual Research, Spring 2024 
CSCE 5900.805, Special Problems, 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 6280.002, Advanced Topics in Artificial Intelligence, Fall 2023  SPOT
                    

                    CSCE 6950.805, Doctoral Dissertation, Fall 2023 
                    

                    CSCE 6940.805, Individual Research, Fall 2023 
                    

                    CSCE 5934.805, Directed Study, Summer 10W 2023 
                    

                    CSCE 5218.004, Deep Learning, Spring 2023 Syllabus SPOT
                    

                    CSCE 6950.905, Doctoral Dissertation, Spring 2023 
                    

                    CSCE 6940.920, Individual Research, Spring 2023 
                    

                    CSCE 5900.820, Special Problems, Spring 2023 
                    

                    CSCE 3110.001, Data Structures and Algorithms, Fall 2022 Syllabus SPOT
                    

                    CSCE 6940.805, Individual Research, Fall 2022 
                    

                    CSCE 5900.805, Special Problems, Fall 2022 
                    

                    CSCE 5218.001, Deep Learning, Spring 2022 Syllabus SPOT
                    

                    CSCE 6940.920, Individual Research, Spring 2022 
                    

                    CSCE 3110.001, Data Structures and Algorithms, Fall 2021 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
Wang, H., Yu, Y., Luo, T., Fan, H., Zhang, L.  (2024). MaGIC: Multi-modality Guided Image Completion. International Conference on Learning Representations (ICLR). 
Yadav, S., Le, T., Dong, S., Fan, H., Yang, Q., Qiu, C., Li, X., Huang, Y.  A New Simulation Platform For Learning-Empowered Distributed Sensing. SPIE Defense + Commercial Sensing 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). 
Shen, Y., Gu, X., Xu, K., Fan, H., Wen, ., Zhang, L.  (2023). Accurate and Fast Compressed Video Captioning. International Conference on Computer Vision (ICCV). 
Liu, X., Liu, X., Yi, Z., Zhou, X., Le, T., Zhang, L., Huang, Y., Yang, Q., Fan, H.  (2023). PlanarTrack: A Large-scale Challenging Benchmark for Planar Object Tracking. International Conference on Computer Vision (ICCV). 
Liu, X., Lin, Y., Yang, Q., Fan, H.  (2023). Transferable Adversarial Attack on 3D Object Tracking in Point Cloud. International Conference on Multimedia Modeling (MMM). 
Gu, B., Fan, H., Zhang, L.  (2023). Two Birds, One Stone: A Unified Framework for Joint Learning of Image and Video Style Transfers. International Conference on Computer Vision (ICCV). 
Zhou, W., Fan, H., Luo, T., Zhang, L.  (2023). Unsupervised Domain Adaptive Detection with Network Stability Analysis. International Conference on Computer Vision (ICCV). 
Yi, Z., Blanco, E., Fan, H., Albert, M.  (2022). BAPO: A Large-Scale Multimodal Corpus for Ball Possession Prediction in American Football Games. IEEE Conference on Multimedia Information Processing and Retrieval (MIPR). 
Guo, M., Zhang, ., Fan, H., Jing, L.  (2022). Divert More Attention to Vision-Language Tracking. Thirty-Sixth Annual Conference on Neural Information Processing Systems (NeurIPS). 
Yu, Y., Zhang, L., Fan, H., Luo, T.  (2022). High-Fidelity Image Inpainting with GAN Inversion. European Conference on Computer Vision (ECCV). 
Guo, M., Zhang, Z., Fan, H., Jing, L., Lyu, Y., Li, B., Hu, W.  (2022). Learning Target-aware Representation for Visual Tracking via Informative Interactions. International Joint Conference on Artificial Intelligence (IJCAI). 
Lin, L., Fan, H., Zhang, Z., Xu, Y., Ling, H.  (2022). SwinTrack: A Simple and Strong Baseline for Transformer Tracking. Thirty-Sixth Annual Conference on Neural Information Processing Systems (NeurIPS). 
Fan, H., Ling, H.  (2021). CRACT: Cascaded Regression-Align-Classification for Robust Tracking. 7013-7020. IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS). 
Fan, H., Ling, H.  (2021). MART: Motion-Aware Recurrent Neural Network for Robust Visual Tracking. 566-575. IEEE/CVF Winter Conference on Applications of Computer Vision (WACV). 
Singh, Y., Atulkar, V., Ren, J., Yang, J., Fan, H., Latecki, L., Ling, H.  (2021). Osteoporosis Prescreening and Bone Mineral Density Prediction using Dental Panoramic Radiographs. 2700-2703. IEEE Engineering in Medicine & Biology Society (EMBC). 
Fan, H., Yang, F., Chu, P., Lin, Y., Yuan, L., Ling, H.  (2021). TracKlinic: Diagnosis of Challenge Factors in Visual Tracking. 970-979. IEEE/CVF Winter Conference on Applications of Computer Vision (WACV). 
Fan, H., Miththanthaya, H., Rajan, S., Liu, X., Zou, Z., Lin, Y., Ling, H.  (2021). Transparent Object Tracking Benchmark. 10734-10743. IEEE/CVF International Conference on Computer Vision (ICCV). 
Journal Article
Shen, J., Chen, Y., Liu, Y., Zuo, X., Fan, H., Yang, W.  (2024). ICAFusion: Iterative Cross-Attention Guided Feature Fusion for Multispectral Object Detection. Pattern Recognition. 
Shen, J., Guo, T., Zuo, X., Fan, H., Yang, W.  (2024). SSPNet: Scale and Spatial Priors Guided Generalizable and Interpretable Pedestrian Attribute Recognition. Pattern Recognition. 
Zhang, L., Jiang, L., Ji, R., Fan, H.  (2023). PIDray: A Large-scale X-ray Benchmark for Real-World Prohibited Item Detection. International Journal of Computer Vision. 
Zhang, L., Gao, J., Xiao, Z., Fan, H.  (2023). AnimalTrack: A Benchmark for Multi-Animal Tracking in the Wild. International Journal of Computer Vision. 131, 496–513. 
Wang, H., Zhang, L., Fan, H., Luo, T.  (2023). Collaborative three-stream transformers for video captioning. Computer Vision and Image Understanding. 
Liu, Y., Fan, H., Yuan, X., Xiang, J.  (2022). GL-GAN: Adaptive Global and Local Bilevel Optimization for Generative Adversarial Network. Pattern Recognition. 123, 108375--1. 
Zhou, Q., Wang, R., Zeng, G., Fan, H., Zheng, G.  (2022). Towards bridging the distribution gap: Instance to Prototype Earth Mover’s Distance for distribution alignment. 82, 102607. Medical Image Analysis. 
Zhu, P., Wen, L., Du, D., Bian, X., Fan, H., Hu, Q., Ling, H.  (2022). Detection and Tracking Meet Drones Challenge. IEEE Transactions on Pattern Analysis and Machine Intelligence. 44(11), 7380-7399. 
Liu, Y., Fan, H., Ni, F., Xiang, J.  (2021). ClsGAN: Selective Attribute Editing Model based on Classification Adversarial Network. Neural Networks. 133, 220-228. 
Fan, H., Bai, H., Lin, L., Yang, F., Chu, P., Deng, G., Yu, S., H., Huang, M., Liu, J., Xu, Y., Liao, C., Yuan, L., Ling, H.  (2021). LaSOT: A High-quality Large-scale Single Object Tracking Benchmark. International Journal of Computer Vision. 129, 439–461. 
Jia, J., Elezovikj, S., Fan, H., Yang, S., Liu, J., Guo, W., Tan, C., Ling, H.  (2021). Semantic-Aware Label Placement for Augmented Reality in Street View. The Visual Computer. 37, 1805-1819. 



	
		
		
	  

	

	

  
    
	

	

	  

		

		   
Awarded Grants



  
  
  	  
          
Contracts, Grants and Sponsored Research  

 	 
	 	 
  
Grant - Research   
Fan, H. (Principal), "Cooperative Perception for Connected Vehicles," Sponsored by Toyota Motor Engineering & Manufacturing North America, International, $60000 Funded. (August 2023 – August 2024).
Huang, Y. (Principal), Li, X. (Co-Principal), Yang, Q. (Co-Principal), Fan, H. (Co-Principal), Qiu, C. (Co-Principal), Wei, Y. (Co-Principal), Baba, A. I. (Supporting), "Learning Empowered Distributed Sensing," Sponsored by Army Research Lab/Northeastern University, Federal, $2069324 Funded. (March 16, 2023 – March 15, 2024).



	
		
		
	  

	

	

	
	

  
  
  

  	

		

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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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