📄 Publications

(* indicates corresponding author)

• preprint and under review:
  • Mo Zhou, Jianwei Wang*, Kai Wang, Hye-young Paik, Ying Zhang, Wenjie Zhang. Multi-Perspective Evidence Synthesis and Reasoning for Unsupervised Multimodal Entity Linking.
  • Rongjie Jiang, Jianwei Wang*, Gengda Zhao, Chengyang Luo, Kai Wang, Wenjie Zhang. Advancing Multimodal Agent Reasoning with Long-Term Neuro-Symbolic Memory.
  • Aoting Zeng, Kai Wang*, Jianwei Wang*, Yuxiang Sun, Yizhang He, Wenjie Zhang. Interpretable Unsupervised Community Detection with LLM-Symbolized Structured Processes.
  • Shiyuan Liu, Jianwei Wang*, Xuemin Lin, Lu Qin, Wenjie Zhang, Ying Zhang. HyperJoin: LLM-augmented Hypergraph Link Prediction for Joinable Table Discovery.
  • Mengqi Wang, Jianwei Wang*, Qing Liu, Xiwei Xu, Zhenchang Xing, Liming Zhu, Wenjie Zhang. Ensembling LLM-Induced Decision Trees for Explainable and Robust Error Detection.
  • Tianyuan Zhou, Jianwei Wang*, Shuo Zhang, Kai Wang*, Ying Zhang, Xuemin Lin. Multivariate Time Series Imputation with Signal-Noise Disentangled Graph Propagation.
  • Mengshi Chen, Kai Wang*, Jianwei Wang*, Tengchao Li, Ruijia Wu, Xuemin Lin, Wenjie Zhang . Graph Feature Imputation with Joint Latent-Space Alignment and Data-Space Denoising.
  • 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. Empowering Tabular Data Preparation with Language Models: Why and How?.
  • 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.
• 2026:
  • Jiawei Zhou, Ruicheng Zhu, Mengshi Chen, Jianwei Wang*, and Kai Wang*. TrustResearcher: Automating Knowledge-Grounded and Transparent Research Ideation with Multi-Agent Collaboration. WWW demo.
• 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.
  • 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.
  • 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 (UTD 24).
• 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.