📄 Publications

(* indicates corresponding author)

• preprint and under review:
  • Jianwei Wang, Yuehai Wang, Kai Wang*, Xuemin Lin, Wenjie Zhang, and Ying Zhang. Ensemble-based Deep Multilayer Community Search.
  • Mengshi Chen, Yuxiang Sun, Tengchao Li, Jianwei Wang*, Kai Wang, Wenjie Zhang, Ying Zhang, and Xuemin Lin. Orchestrating Large Language Models for Data Preparation: A Survey.
  • Jianwei Wang, Mengqi Wang, Yinsi Zhou, Zhenchang Xing, Qing Liu, Xiwei Xu, Wenjie Zhang, and Liming Zhu. LLM-based HSE Compliance Assessment: Benchmark, Performance, and Advancements.
• 2025:
  • Jianwei Wang, Kai Wang*, Ying Zhang*, Wenjie Zhang, Xiwei Xu, and Xuemin Lin. On LLM-Enhanced Mixed-Type Data Imputation with High-Order Message Passing. VLDB.
  • Mo Zhou, Jianwei Wang*, Xuanmeng Zhang, Dylan Campbell, Kai Wang, Long Yuan, Wenjie Zhang, and Xuemin Lin*. ProbDiffFlow: An Efficient Learning-Free Framework for Probabilistic Single-Image Optical Flow Estimation. Frontiers of Computer Science.
  • Jiawei Zhou, Kai Wang*, Jianwei Wang, Kunpeng Zhang, and Xuemin Lin. COMET: An Interactive Framework for Efficient and Effective Community Search via Active Learning. INFORMS Journal on Computing.
  • Jingye Zhao, Jianan Shen, Jianwei Wang*, Tianyuan Zhou, Ruijia Wu, Kai Wang, and Xuemin Lin. Account Risk Detection in Large-Scale Financial Graphs with Auxiliary Asset Prediction. TKDE (Under revision).
• 2024:
  • Jianwei Wang, Kai Wang*, Xuemin Lin, Wenjie Zhang, and Ying Zhang. Efficient Unsupervised Community Search with Pre-trained Graph Transformer. VLDB.
  • Jianwei Wang, Ying Zhang*, Kai Wang*, Xuemin Lin, and Wenjie Zhang. Missing Data Imputation with Uncertainty-Driven Network. SIGMOD.
  • Jianwei Wang, Kai Wang*, Xuemin Lin, Wenjie Zhang, and Ying Zhang. Neural Attributed Community Search at Billion Scale. SIGMOD.