UROP Research Mentor Project Submission Portal: Submission #794

serial: '794'
sid: '14596'
uuid: 9ad62593-7857-412a-b9be-eee60270e83c
uri: /urop-research-mentor-project-submission-portal
created: '1723730409'
completed: '1723731476'
changed: '1728489843'
in_draft: '0'
current_page: ''
remote_addr: 144.174.213.58
uid: '0'
langcode: en
webform_id: urop_project_proposal_portal
entity_type: node
entity_id: '1116'
locked: '0'
sticky: '0'
notes: ''
metatag: meta
data:
  roundtable_info: {  }
  approximately_how_many_hours_a_week_would_the_research_assistant: '5 - 10 hours'
  are_you_currently_looking_for_students_: 'No'
  confirmation_1: '1'
  contact_email_fsu_email: ''
  contact_email_fsu_email2: ''
  contact_email_fsu_email_if_affiliated_: yd24f@fsu.edu
  faculty_advisor_confirmation: ''
  faculty_advisor_name: ''
  faculty_advisor_s_fsu_email: ''
  fsu_college: 'Arts and Sciences'
  fsu_department_if_applicable_: 'Department of Computer Science'
  headshot_optional_: '44766'
  if_the_project_location_is_off_campus_does_the_student_need_to_p: 'No'
  mentoring_philosophy: 'As the principal investigator, I believe in fostering a collaborative and supportive research environment. Research assistants will have the opportunity to work closely with me and other team members, including PhD student Yushun Dong. We encourage creative thinking, rigorous analysis, and open communication. Research assistants will be given the opportunity to contribute to cutting-edge research in graph machine learning and recommendation systems, with the potential for co-authorship in research publications. We also value the development of practical skills through collaboration with our industry partners, bringing potential opportunities such as internships.'
  mentor_handbook_and_faqs: '1'
  name_of_other_faculty_collaborator_if_applicable_: ''
  number_of_assistants_needed_faculty_postdoc_max_6_graduate_stude: '6'
  other_faculty_collaborator_s_preferred_pronouns: ''
  overall_research_project_description: 'This project aims to develop novel graph learning frameworks to facilitate inductive and scalable recommendations on large-scale social networks. The research focuses on overcoming the limitations of existing Graph Neural Networks (GNNs) by designing a model that can be trained with limited computational costs and easily generalized to unseen social networks without retraining. The proposed framework will leverage both structural and positional encoding to achieve scalable and inductive recommendations, potentially improving the efficiency of recommendation systems on online social network platforms.'
  please_add_any_additional_information_here: |+
    The project builds upon the PI's strong research experience in graph machine learning, with opportunities to work on research paper submissions and research topics that are closely related to the listed one.

    Successful candidates will be able to continue working with the research group under a broader scope of collaborations leading to a track record of high-impact publications and industry collaborations.

    If you are interested, please visit the site below for a toy research example. Please share your opinions with me to gain priority on working with me by reaching out to yd24f@fsu.edu.

    https://yushundong.github.io/files/2024_toy_essay.pdf

  please_provide_a_link_to_your_publications_a_video_clip_or_a_web: 'https://scholar.google.com/citations?hl=en&user=_QUhuOMAAAAJ'
  please_select_the_choice_that_most_accurately_describes_your_exp: 'Fully Remote'
  please_select_the_location_of_your_project_: 'On FSU Main Campus'
  position_availability_for_student_research: 'Flexible schedule'
  position_title: Faculty
  primary_research_mentor_name: 'Yushun Dong'
  project_keywords: 'Graph Neural Networks, Social Networks, Recommendation Systems, Scalable Machine Learning, Inductive Learning'
  relevant_student_major_s_: 'Computer Science, Electrical and Computer Engineering, Data Science, Applied Mathematics, Statistics'
  research_mentor_preferred_pronoun2: ''
  research_mentor_pronouns: he/his/him
  research_mentor_supervisor_if_different_from_above_: ''
  research_tasks_for_student_research_assistant_s_: |-
    (1) Develop a scalable and inductive method for social network recommendation
    (2) Design and implement a novel message-passing graph neural network model
    (3) Implement and optimize the proposed graph learning framework
    (4) Conduct offline evaluations using public and anonymous recommendation datasets
    (5) Analyze and compare performance metrics such as NDCG and other industrial recommendation metrics with alternative models
  roundtable_times_and_zoom_links: |-
    Thursday, Sept. 5th from 2PM - 2:30PM ET
    Zoom link: https://fsu.zoom.us/j/7153751215
  skills_that_research_assistants_may_need_: |-
    (Recommended) Strong programming skills, particularly in Python
    (Recommended) Experience with machine learning frameworks (e.g., PyTorch, TensorFlow)
    (Recommended) Familiarity with recommendation systems and social network analysis
  title_of_the_project: 'Inductive Recommendation on Large-Scale Social Networks'
  update_url: 'https://cre.fsu.edu/urop-research-mentor-project-submission-portal?element_parents=elements/research_mentor_information/headshot_optional_&ajax_form=1&_wrapper_format=drupal_ajax&token=QtPjjPwjSrBJmnkQ3DI14Su7dBY4TPbjUCF0gGQqnIs'
  urop_performance_evaluation: '1'
  urop_poster_presentation: '1'
  when_potential_research_assistants_are_reaching_out_via_email_2: ''
  when_potential_research_assistants_are_reaching_out_via_email_wh: ''
  when_students_are_reaching_out_via_email_what_is_your_preferreda: Dr.
  would_you_like_to_participate_in_the_urop_research_mentor_round2: 'Yes'
  would_you_like_to_participate_in_the_urop_research_mentor_roundt: ''
  year: '2024'