About me

Hi! I’m Fali Wang, a third-year Ph.D student in the College of Information Sciences and Technology at The Pennsylvania State University. I’m advised by Prof. Suhang Wang. I received my Master’s Degree from the University of Chinese Academy of Sciences and my Bachelor’s Degree from Northeast Forestry University.

My research interests include LLM Knowledge, Knowledge Graphs, Graph Learning, Small Language Models, and their intersections.

News

• 01/2025: Give a talk to Amazon, [slides]
• 12/2024: Start a new position as an Applied Scientist Intern at Amazon, Palo Alto.
• 11/2024: Lead and release a comprehensive survey on Small Language Models (SLMs Survey). [Paper] [Github].
• 11/2024: Pass my Comprehensive Exam.
• 09/2023: Start a new position as a Visiting Intern at NEC Lab, Printon.
• 05/2022: Pass my Qualifying Exam and become a Ph.D. candidate.
• 08/2022: Start my Ph.D. career at Penn State Univeristy.

Pre-print

1. A Comprehensive Survey of Small Language Models in the Era of Large Language Models: Techniques, Enhancements, Applications, Collaboration with LLMs, and Trustworthiness. Fali Wang, Zhiwei Zhang, Xianren Zhang, Zongyu Wu, Tzuhao Mo, Qiuhao Lu, Wanjing Wang, Rui Li, Junjie Xu, Xianfeng Tang, Qi He, Yao Ma, Ming Huang, Suhang Wang. [Paper]

Conference Paper

1. InfuserKI: Enhancing Large Language Models with Knowledge Graphs via Infuser-Guided Knowledge Integration. Fali Wang, Runxue Bao, Suhang Wang, Wenchao Yu, Yanchi Liu, Wei Cheng, Haifeng Chen. EMNLP 2024. [Paper]
2. HC-GST: Heterophily-aware Distribution Consistency-based Graph Self-training. Fali Wang, Tianxiang Zhao, Junjie Xu, Suhang Wang. CIKM 2024. [Paper]
3. Distribution Consistency-based Self-Training for Graph Neural Networks with Sparse Labels. Fali Wang, Tianxiang Zhao, Suhang Wang. WSDM 2024. [Paper]

Journal Paper

1. Study and simulation of machining speed connection based on multi-axis linkage NC wood engraving machine. Fali Wang, JiLong Bian, FengMing Zhang, Lin Ge, Hui Ma, GuangJun Chen. Journal of Northeast Forestry University

Teaching

Teaching Assistant, DS 420: Network Analytics, PSU, Fall 2024

Service

• Guest editor of ACM Transactions on Intelligent Systems and Technology.
• Reviewers of Big Data, CIKM, IJCAI, RecSys, WWW, SDM.