I’m a third year Ph.D. student at Department of Computer Science, University of Illinois at Urbana-Champaign, working with Prof. Hari Sundaram. I received both my B.S. and M.S. in Computer Science from University of Illinois at Urbana-Champaign in 2020 and 2022.

I was also an Applied Scientist Intern at Entity Resolution (2022) and International Machine Learning (2024) team @Amazon.

My broader research interests span recommender systems and graph neural networks, with a particular focus on trustworthiness, such as generalizability, and on addressing sparsity challenges like long-tail item recommendation. I am also currently working on integrating LLMs and causal representation learning into recommendation systems.

Contact me via:
📧 Mail: jtwang.98[AT]gmail.com or junting3[AT]illinois.edu

What's new:

Selected Publications (Google Scholar)

	"A Pre-trained Sequential Recommendation Framework: Popularity Dynamics for Zero-shot Transfer" Junting Wang, et al. In RecSys'24. [PDF]
	"ProtoCF: Prototypical Collaborative Filtering for Few-shot Recommendation" Junting Wang, et al. RecSys'21. [PDF]
	"Beyond Localized Graph Neural Networks: An Attributed Motif Regularization Framework" Junting Wang, et al. In ICDM'20. [PDF]

Fun Facts

• 🎹 I’ve been playing the piano since I was four years old, and I still make an effort to practice daily. I also compose my own music from time to time.
• 📸 I took up photography in 2020 during the pandemic and share some of my photos in the gallery here.
• 💪 I enjoy lifting weights and have been focused on powerlifting since 2018. My goal is to compete in a powerlifting competition before I graduate.