Wei Tang

Research

I'm interested in devleoping Graph Representation for Graph Alignment (e.g. entity alignment and network alignemnt) using deep learning, ramdom walk, matrix factorization, GNNs, etc.

Conference Papers:

1. Multi-order Matched Neighborhood Consistent Graph Alignment in a Union Vector Space
   Wei Tang, Haifeng Sun, Jingyu Wang, Qi Qi, Jing Wang, Hao Yang, Shimin Tao
   SIGIR 2023 (CCF A)| paper |code

2. Graph Alignment Using Seed-Oriented Subgraph Matching
   Wei Tang, Xinlin Lv, Yuang Li, Min Zhang, Hao Yang
   ICMR 2025 (CCF B)| paper

3. Investigating Numerical Translation with Large Language Models
   Wei Tang, Jiawei Yu, Yuang Li, Yanqing Zhao, Weidong Zhang, Wei Feng, Min Zhang, Hao Yang
   ICASSP 2025 (CCF B)| paper

4. Multi-modal Entity Alignment via Position-enhanced Multi-label Propagation
   Wei Tang, Yuanyi Wang
   ICMR 2024 (CCF B)| paper |code

5. LEARNING SPARSE ALIGNMENTS VIA OPTIMAL TRANSPORT FOR CROSS-DOMAIN FAKE NEWS DETECTI
   Wei Tang, ZuYao Ma, Jingyu Wang, Haifeng Sun
   ICASSP 2023 (CCF B)| paper

6. Weakly Supervised Entity Alignment with Positional Inspiration
   Wei Tang,Fenglong Su,Haifeng Sun, Qi Qi, Jingyu Wang, Shimin Tao, Hao Yang
   WSDM 2023 (CCF B) | paper|code

Journal Papers:

1. Identifying Users across Social Media Networks for Interpretable Fine-grained Neighborhood Matching by Adaptive GAT
   Wei Tang, Haifeng Sun, Jingyu Wang, Cong Liu, Qi Qi, Jing Wang, Jianxin Liao
   TSC 2023 (CCF A) | paper

2. Cross-graph Embedding with Trainable Proximity for Graph Alignment
   Wei Tang, Haifeng Sun, Jingyu Wang, Qi Qi, Huangxun Chen, Li Chen
   TKDE 2023 (CCF A)| paper |code

3. Anchor-aware Position Enhancement for Weakly Supervised Knowledge Graph Alignment
   Wei Tang, Haifeng Sun, Jingyu Wang, Qi Qi, Shimin Tao, Hao Yang
   TASLP 2025 (CCF B)| paper |code

4. Deep Graph Alignment Network
   Wei Tang, Jingyu Wang, Qi Qi, Haifeng Sun, Shimin Tao, Hao Yang
   Neurocomputing 2021 (CCF C,中科院二区) | paper