Yanru Jiang | Representational Learning | Best Researcher Award

Ms. Yanru Jiang | Representational Learning | Best Researcher Award

Yanru Jiang is a trailblazing researcher in Representational Learning, currently pursuing a Ph.D. in Communication at the University of California, Los Angeles (UCLA). šŸŽ“ Under the guidance of Dr. Jungseock Joo and Dr. Rick Dale, she has excelled in her academic journey, also earning an M.S. in Statistics. Yanru has garnered prestigious accolades, including being a Meta PhD Fellowship Finalist and securing the UCLA Graduate Council Diversity Fellowship. šŸ† Her dedication extends to research mentorship, as evidenced by her participation in the UCLA Graduate Student Research Mentorship Program. Yanru’s passion for education and innovative contributions make her a standout figure in the academic realm.

Profile

Scopus

Education

Yanru Jiang is on an academic journey marked by excellence, pursuing a Ph.D. in Communication at the University of California, Los Angeles (UCLA) šŸŽ“. Guided by Dr. Jungseock Joo and Dr. Rick Dale, she delves into the intricate realm of communication. Complementing this, Yanru earned an M.S. in Statistics, showcasing her multidisciplinary prowess. šŸ“Š Prior to UCLA, she excelled at the University of Southern California, achieving a Master of Communication Management and a B.S. in Business Administration with a concentration in Cinematic Arts. šŸŽ¬ Yanru’s diverse educational background reflects her commitment to interdisciplinary learning and positions her as a standout scholar.

Experience

Yanru Jiang seamlessly blends academic expertise with practical experience, teaching Communication Methods and Film Persuasion at UCLA šŸ“š. As an integral part of UCLA’s Computational Media Lab under PI Jungseock Joo and the Co-Mind Lab led by PI Rick Dale, she explores cutting-edge research in communication and computational media šŸ§ šŸ’». Yanru has contributed significantly to the field, previously engaging in research at the Artificial Intelligence and Emerging Media Lab at Boston University and diverse projects spanning education, political science, and AI. šŸŒ Her dynamic professional background includes roles as an AI Engineer, NLP Research Intern, and Financial Analyst at renowned organizations like Beyond Limits, Testin, and Cybernaut Zfounder Ventures. šŸš€

Honors & Awards

Yanru Jiang stands out as a rising scholar, achieving recognition through prestigious awards and fellowships. šŸŒŸ As a Meta PhD Fellowship Finalist (110 of 3200), she exemplifies academic excellence and innovation. Yanru’s commitment to research is underscored by her UCLA ISH Research Innovation Fund Finalist ($100,000) and the UCLA Graduate Council Diversity Fellowship ($66,000). šŸ† Her involvement in impactful programs, such as the UCLA Graduate Student Research Mentorship Program and the USC Center for International Studies Research Assistantship, reflects her dedication to academic exploration. Yanru’s impressive array of grants and awards, including those from APSA and ICA, solidify her position as a distinguished researcher. šŸŽ“

Publication

  1. Automated Nonverbal Cue Detection in Political-Debate Videos: An Optimized RNN-LSTM Approach
    • Author: Y. Jiang
    • Year: 2024
    • šŸ“‘šŸ¤–
  2. Transformability, generalizability, but limited diffusibility: Comparing global vs. task-specific language representations in deep neural networks
    • Authors: Y. Jiang, R. Dale, H. Lu
    • Year: 2024
    • šŸ“‘šŸ§ 
  3. The impact of political ideology, knowledge and participation on electoral conspiracy endorsement
    • Author: Y. Jiang
    • Year: 2023
    • šŸ“‘šŸ—³ļø
  4. Validating a Mixed-Method Approach for Multilingual News Framing Analysis: A case study of COVID-19
    • Authors: G. AkƧakır, Y. Jiang, J. Luo, S. Noh
    • Year: 2023
    • šŸ“‘šŸ“°
  5. An Unsupervised Approach to Discover Media Frames
    • Authors: S. Lai, Y. Jiang, L. Guo, P. Ishwar, D.T. Wijaya
    • Year: 2022
    • šŸ“‘šŸ”
  6. David vs. Goliath: transnational grassroots outreach and empirical evidence from the #HongKongProtests Twitter network
    • Authors: C.S.Y. Shea, Y. Jiang, W.L.Y. Leung
    • Year: 2022
    • šŸ“‘šŸŒ
  7. Using k-Means Clustering to Classify Protest Songs Based on Conceptual and Descriptive Audio Features
    • Authors: Y. Jiang, X. Jin
    • Year: 2022
    • šŸ“‘šŸŽ¶