Jianwei Wang

According to our database, Jianwei Wang authored at least 14 papers between 2024 and 2026.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of three.

2026

ProbDiffFlow: an efficient learning-free framework for probabilistic single-image optical flow estimation.

Mo Zhou, Jianwei Wang, Xuanmeng Zhang, Dylan Campbell, Kai Wang, Long Yuan, Wenjie Zhang, Xuemin Lin

Frontiers Comput. Sci., August, 2026

Multi-Perspective Evidence Synthesis and Reasoning for Unsupervised Multimodal Entity Linking.

Mo Zhou, Jianwei Wang, Kai Wang, Helen Paik, Ying Zhang, Wenjie Zhang

CoRR, April, 2026

Account Risk Detection in Large-Scale Financial Graphs With Auxiliary Asset Prediction.

Jingye Zhao, Jianan Shen, Jianwei Wang, Tianyuan Zhou, Ruijia Wu, Kai Wang, Xuemin Lin

IEEE Trans. Knowl. Data Eng., March, 2026

Advancing Multimodal Agent Reasoning with Long-Term Neuro-Symbolic Memory.

Rongjie Jiang, Jianwei Wang, Gengda Zhao, Chengyang Luo, Kai Wang, Wenjie Zhang

CoRR, March, 2026

HyperJoin: LLM-augmented Hypergraph Link Prediction for Joinable Table Discovery.

Shiyuan Liu, Jianwei Wang, Xuemin Lin, Lu Qin, Wenjie Zhang, Ying Zhang

CoRR, January, 2026

2025

Ensembling LLM-Induced Decision Trees for Explainable and Robust Error Detection.

Mengqi Wang, Jianwei Wang, Qing Liu, Xiwei Xu, Zhenchang Xing, Liming Zhu, Wenjie Zhang

CoRR, December, 2025

Large Language Models Meet Text-Attributed Graphs: A Survey of Integration Frameworks and Applications.

Guangxin Su, Hanchen Wang, Jianwei Wang, Wenjie Zhang, Ying Zhang, Jian Pei

CoRR, October, 2025

Empowering Tabular Data Preparation with Language Models: Why and How?

Mengshi Chen, Yuxiang Sun, Tengchao Li, Jianwei Wang, Kai Wang, Xuemin Lin, Ying Zhang, Wenjie Zhang

CoRR, August, 2025

LLM-based HSE Compliance Assessment: Benchmark, Performance, and Advancements.

Jianwei Wang, Meng Wang, Yinsi Zhou, Zhenchang Xing, Qing Liu, Xiwei Xu, Wenjie Zhang, Liming Zhu

CoRR, May, 2025

Ensemble-based Deep Multilayer Community Search.

Jianwei Wang, Yuehai Wang, Kai Wang, Xuemin Lin, Wenjie Zhang, Ying Zhang

CoRR, January, 2025

On LLM-Enhanced Mixed-Type Data Imputation with High-Order Message Passing.

Jianwei Wang, Kai Wang, Ying Zhang, Wenjie Zhang, Xiwei Xu, Xuemin Lin

CoRR, January, 2025

2024

Efficient Unsupervised Community Search with Pre-trained Graph Transformer.

Jianwei Wang, Kai Wang, Xuemin Lin, Wenjie Zhang, Ying Zhang

Proc. VLDB Endow., May, 2024

Missing Data Imputation with Uncertainty-Driven Network.

Jianwei Wang, Ying Zhang, Kai Wang, Xuemin Lin, Wenjie Zhang

Proc. ACM Manag. Data, 2024

Neural Attributed Community Search at Billion Scale.

Jianwei Wang, Kai Wang, Xuemin Lin, Wenjie Zhang, Ying Zhang

CoRR, 2024