Learning Reliable Logical Rules with SATNet. - Zhaoyu Li; Jinpei Guo; Yuhe Jiang; Xujie Si (NeurIPS, 2023)

Learning Interpretable Logic Rules from Deep Vision Models. - Chuqin Geng; Yuhe Jiang; Ziyu Zhao 006; Haolin Ye; Zhaoyue Wang; Xujie Si (CoRR, 2025)

TypyBench: Evaluating LLM Type Inference for Untyped Python Repositories. - Honghua Dong; Jiacheng Yang; Xun Deng; Yuhe Jiang; Gennady Pekhimenko; Fan Long; Xujie Si (CoRR, 2025)

LBFL: A Lightweight Blockchain-Based Federated Learning Framework With Proof-of-Contribution Committee Consensus. - Shaojie Qiao; Yuhe Jiang; Nan Han; Wei Hua; Yufeng Lin; Shengjie Min; Xindong Wu 001 (IEEE Trans. Big Data, 2025)