Yuanhong Wang

About Me

Greetings! I am an Assistant Professor with the School of Artificial Intelligence at Jilin University. My research interests lie in broad areas of Artificial Intelligence, including Statistical Relational Learning, Lifted Model Counting and Sampling, Neurosymbolic AI. I am enthusiastic about developing efficient algorithms for probabilistic inference, learning and samples generation in relational domains. My current research focuses on:

• Efficient Inference and Sampling in Relational Domains: lifted reasoning, lifted sampling, and their applications
• AI for combinatorics: graph polynomials, model counting, and their connections with AI

I obtained my Ph.D. degree and master degree in Computer Science both at Beihang University supervised by Juhua Pu. I received bachelor degree in Mathematics at Beijing Jiaotong University. I am lucky to collaborate with Yuyi Wang and Ondřej Kuželka.

📢 招收2025年硕士（1名）和博士研究生（1名），欢迎对以上研究方向感兴趣的同学通过邮件联系我，邮件中请注明研究兴趣并附上简历。

News

• [Sep. 2024] Join the School of Artificial Intelligence at Jilin University as an Assistant Professor.
• [Jul. 2024] We provide a unifying framework for WFOMC with axioms by bridging it with graph polynomials. Preprint is available.
• [Mar. 2024] Journal version of our LICS paper is accepted by AIJ, now sampling C2 is lifted!
• [Jul. 2023] Visit CTU in Prague. Hello, Prague!
• [Aug. 2022] Serve as a PC member in AAAI 2024.
• [Mar. 2023] One paper is accepted by LICS 2023. Sampling for the full FO2 fragment is now lifted!

Publications

(^#: author order is alphabetical)

• Bridging Weighted First Order Model Counting and Graph Polynomials
  Qipeng Kuang^#, Ondřej Kuželka^#, Yuanhong Wang^#, Yuyi Wang^#
  Preprint
  [arxiv]

• A More Practical Algorithm for Weighted First-Order Model Counting with Linear Order Axiom
  Qiaolan Meng, Jan Tóth, Yuanhong Wang, Yuyi Wang and Ondřej Kuželka
  European Conference on Artificial Intelligence. ECAI 2024
  [online]

• Lifted Algorithms for Symmetric Weighted First-Order Model Sampling
  Yuanhong Wang, Juhua Pu, Yuyi Wang, Ondřej Kuželka
  Artificial Intelligence, AIJ
  [online][arxiv]

• AdaMO: Adaptive Meta-optimization for Cold-start Recommendation
  Juhua Pu, Yuanhong Wang, Fang Nan, Xingwu Liu
  Neurocomputing
  [online]

• On Exact Sampling in the Two-Variable Fragment of First-Order Logic
  Yuanhong Wang, Juhua Pu, Yuyi Wang, Ondřej Kuželka
  Annual ACM/IEEE Symposium on Logic in Computer Science. LICS 2023
  [online][arxiv]

• Domain-lifted sampling for universal two-variable logic and extensions
  Yuanhong Wang, Timothy Van Bremen, Yuyi Wang, and Ondřej Kuželka
  The 36th AAAI Conference on Artificial Intelligence. AAAI 2022
  [online]

• Fast Algorithms for Relational Marginal Polytopes
  Yuanhong Wang, Timothy van Bremen, Juhua Pu, Yuyi Wang, Ondrej Kuzelka
  International Joint Conference on Artificial Intelligence. IJCAI 2021.
  Oral [online]

• AMENDER: An attentive and aggregate multi-layered network for dataset recommendation
  Yujun Chen, Yuanhong Wang, Yutao Zhang, Juhua Pu, Xiangliang Zhang
  IEEE International Conference on Data Mining. ICDM 2019.
  Short paper [online]

• NEGAN: Network embedding based on generative adversarial networks
  Ban Yinfeng, Juhua Pu, Yujun Chen, Yuanhong Wang
  International Joint Conference on Neural Networks. IJCNN 2018.
  [online]

• On the ERM principle with networked data
  Yuanhong Wang, Yuyi Wang, Xingwu Liu, and Juhua Pu
  Thirty-Second AAAI Conference on Artificial Intelligence. AAAI 2018.
  Oral [online][full version]

• Detecting Anomaly in Traffic Flow from Road Similarity Analysis
  Xinran Liu, Xingwu Liu, Yuanhong Wang, Juhua Pu, Xiangliang Zhang
  International Conference on Web-Age Information Management WAIM 2016.
  [online]

Reviewing

Conference PC Member

• AAAI 2023-2025
• ICLR 2025

Journal Reviewing

• Neurocomputing
• Artificial Intelligence Communications (AIC)

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