Yuanhong Wang

About Me

Greetings! I am currently a final year Ph.D. student at Beihang University. My main research interests lie in relational statistic learning and graph mining, designing and analyzing machine learning algorithms for structure data from both theoretical and practice aspects. I also have some experiences in building deep learning framework and benchmarking its performace. I am supervised by Juhua Pu. I am lucky to collaborate with Yuyi Wang and Ondřej Kuželka.

I received my master’s degree in Computer Science at Beihang University and bachelor’s degree in Mathematics at Beijing Jiaotong University. I was an SDE with Microsoft (Beijing) before enrolling in the Ph.D. program.

‼️ I am currently actively seeking academic positions beginning in 2024. Please feel free to reach out to discuss potential opportunities.(我即将在今年完成博士学业，欢迎各类教职或者科研院所的机会。)

Research Interests

• Statistical Machine Learning: Lifted Inference and Sampling, non-i.i.d. Learning
• Data Mining: Graph Mining, Recommendation

News

• [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

• 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 2023,2024

Journal Reviewing

• Artificial Intelligence Communications (AIC)

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