教育背景：2019年9月–2023年6月：博士，信息与通信工程专业，北京邮电大学。

工作经历：2024年3月入职华为2012文本机器翻译实验室，担任算法高级研究员17级，主导基于RAG的大模型机器翻译系统、语音关键词检测系统算法研发，成果落地相关平台，申请三项专利。

研究方向：图神经网络、跨图节点表征学习、社交网络对齐、知识图谱对齐、大模型机器翻译、语音关键词检测

招生要求：诚招热爱钻研、勤学好问的学生，优先考虑具备扎实编程基础（如Python、C++）、良好英文阅读与写作能力（能熟练查阅外文文献、参与学术写作）的申请者，欢迎对上述研究方向感兴趣的同学报考。

部分学术成果：

1. Wei Tang, Xinlin Lv, Yuang Li, Min Zhang and Hao Yang, “Graph Alignment Using Seed-Oriented Subgraph Matching,” ICMR2025 (CCF B)

2. Wei Tang, Jiawei Yu, Yuang Li, Yanqing Zhao, Weidong Zhang, Wei Feng, Min Zhang, Hao Yang, “Investigating Numerical Translation with Large Language Model,” ICASSP2025 (CCF B)

3. Wei Tang, Haifeng Sun, Jingyu Wang and Qi Qi, “Position-aware Knowledge Graph Alignment with Scarce Supervision,” IEEE/ACM Transactions on Audio, Speech, and Language Processing (CCF B, 清华评级为A), 2025

4. Wei Tang, Haifeng Sun, Jingyu Wang, Qi Qi, Huangxun Chen, and Li Chen, “Cross-graph Embedding with Trainable Proximity for Graph Alignment,” IEEE Transactions on Knowledge and Data Engineering (CCF A), 2024

5. Wei Tang, Haifeng Sun, Jingyu Wang and Qi Qi, “Identifying Users across Social Media Networks for Interpretable Fine-grained Neighborhood Matching by Adaptive GAT,” IEEE Transactions on Services Computing (CCF A), 2024

6. Wei Tang and Yuanyi Wang, “Multi-modal Entity Alignment via Position-enhanced Multi-label Propagation,” ICMR2024 (CCF B, 最佳论文提名)

7. Wei Tang, Zuyao Ma, “Learning Sparse Alignments via Optimal Transport for Cross-domain Fake News Detection,” ICASSP2023 (CCF B)

8. Wei Tang, Haifeng Sun, Jingyu Wang, Qi Qi, Jing Wang, Shimin Tao, and Hao Yang, “Multi-order Matched Neighborhood Consistent Graph Alignment in a Union Vector Space,” SIGIR2023 (CCF A)

9. Wei Tang, Fenglong Su, Haifeng Sun, Qi Qi, Jingyu Wang, Shimin Tao and Hao Yang, “Weakly Supervised Entity Alignment with Positional Inspiration,” WSDM2023 (CCF B, 清华评级为A)

10. Wei Tang, Jingyu Wang, Qi Qi, Haifeng Sun, Shimin Tao, and Hao Yang “Deep Graph Alignment Network,” Neurocomputing (CCF C), 2021

联系方式：tangwei@muc.edu.cn