👋 Hi, I am Fali Wang

I am a fourth-year Ph.D. student in the College of Information Sciences and Technology at The Pennsylvania State University, advised by Prof. Suhang Wang.

My research interests include:
LLM Knowledge, Knowledge Graphs, Graph Learning, Small Language Models (SLMs), Test-time Scaling and their intersections.

Please reach out to fqw5095 at psu dot edu for research collaboration.

📰 News

• 09/2025 — Amazon Intern work, AgentTTS for test-time scaling budget allocation, has been accepted by NIPS 2025 as a Poster [🔗 Link].
• 08/2025 — SLMs Survey paper has been accepted for publication in the ACM TIST [🔗 Link].
• 08/2025 — Organized a Tutorial regarding SLMs [🔗 Link] and a Workshop on LLM4ECommerce [🔗 Link]
• 04/2025 — Gave an invited SLM talk at WWW LLM for E-Commerce Workshop [📑 Slides]
• 01/2025 — Gave an invited SLM talk at Amazon [📑 Slides]
• 12/2024 — Started as an Applied Scientist Intern at Amazon, Palo Alto
• 11/2024 — Led and released the SLMs Survey [📄 Paper] [💻 GitHub]
• 11/2024 — Passed Comprehensive Exam
• 09/2023 — Visiting Intern at NEC Lab, Princeton
• 05/2023 — Passed Qualifying Exam and became a Ph.D. candidate
• 08/2022 — Began Ph.D. at Penn State University

📄 Publications

📝 Pre-prints

🎤 Conference Papers

• AgentTTS: Large Language Model Agent for Test-time Compute-optimal Scaling Strategy in Complex Tasks (Just Accepted by NIPS 2025 Poster)
  Fali Wang, Hui Liu, Zhenwei Dai, Jingying Zeng, Zhiwei Zhang, Zongyu Wu, Chen Luo, Zhen Li, Xianfeng Tang, Qi He, Suhang Wang
  [📄 arXiv Preprint]

• A Survey on Small Language Models in the Era of Large Language Models: Architecture, Capabilities, and Trustworthiness (KDD 2025)
  Fali Wang, Minhua Lin, Yao Ma, Hui Liu, Qi He, Xianfeng Tang, Jiliang Tang, Jian Pei, Suhang Wang
  [📄 Paper]

• InfuserKI: Enhancing Large Language Models with Knowledge Graphs via Infuser-Guided Knowledge Integration (EMNLP 2024)
  Fali Wang, Runxue Bao, Suhang Wang, Wenchao Yu, Yanchi Liu, Wei Cheng, Haifeng Chen
  [📄 Paper]

• HC-GST: Heterophily-aware Distribution Consistency-based Graph Self-training (CIKM 2024)
  Fali Wang, Tianxiang Zhao, Junjie Xu, Suhang Wang
  [📄 Paper]

• Distribution Consistency-based Self-Training for Graph Neural Networks with Sparse Labels (WSDM 2024)
  Fali Wang, Tianxiang Zhao, Suhang Wang
  [📄 Paper]

• Macrobert: Maximizing certified region of bert to adversarial word substitutions (DASFAA 2021)
  Fali Wang, Zheng Lin, Zhengxiao Liu, Mingyu Zheng, Lei Wang, Daren Zha

• De-co: A two-step spelling correction model for combating adversarial typos (ISPA 2020)
  Zhengxiao Liu, Fali Wang (Corresponding author), Zheng Lin, Lei Wang, Zhiyi Yin

• NarGNN: Narrative graph neural networks for new script event prediction problem (ISPA 2020)
  Shuang Yang, Fali Wang (Corresponding author), Daren Zha, Cong Xue, Zhihao Tang

📚 Journal Papers

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
   [📄 arXiv Preprint]
   [📄 Journal Paper]
   ACM Transactions on Intelligent Systems and Technology — Just Accepted

2. Study and simulation of machining speed connection based on multi-axis linkage NC wood engraving machine (2018)
   Fali Wang, JiLong Bian, FengMing Zhang, Lin Ge, Hui Ma, GuangJun Chen
   Journal of Northeast Forestry University

🎯 Academic Activities

📢 Organizer

• KDD 2025 Tutorial — A Tutorial on Small Language Models in the Era of Large Language Models: Architecture, Capabilities, and Trustworthiness [🔗 Link]
• KDD 2025 Workshop — The 2nd Workshop on Large Language Models for E-Commerce [🔗 Link]

📚 Teaching

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

🤝 Service

• Reviewer — ACL, EMNLP, MM, Big Data, CIKM, IJCAI, RecSys, WWW, SDM, TIST