Publications

Publications:

• Harnessing Multiple Correlated Networks for Exact Community Recovery [Arxiv] [Neurips]

  Miklos Racz, Jifan Zhang (Alphabetical)

  Advances in the 38th Conference on Neural Information Processing Systems (NeurIPS 2024)

• Topology-Aware Conformal Prediction for Stream Networks [Arxiv][Neurips]

  Jifan Zhang, Fangxin Wang, Zihe Song, Kaize Ding, Philip S. Yu, Shixiang Zhu

  Advances in the 39th Conference on Neural Information Processing Systems (NeurIPS 2025)

• Causal Representation Learning from Network Data [Arxiv][Kdd]

  Jifan Zhang, Michelle M. Li, Elena Zheleva

  The 32nd ACM SIGKDD Conference on Knowledge Discovery and Data Mining (KDD 2026)

• Toward a Unified Statistical Theory of Unsupervised Pretraining and Supervised Neural Knowledge Graph Learning [Arxiv]

  Jifan Zhang, Miklos Racz, Suqi Liu

  Advances in the 40th Conference on Neural Information Processing Systems (NeurIPS 2026)

PhD Thesis:

• Learning and Inference from Networks [Proquest]

Working papers:

• When 1-neighborhoods Become Distinct in Random Graphs

  Miklos Racz, Jifan Zhang (Alphabetical)

• From Weak Recovery to Exact Recovery: Matching O(log n) Correlated Regular Stochastic Block Models

  Shuwen Chai, Miklos Racz,Jifan Zhang (Alphabetical)