2008年毕业于山东大学计算机软件与理论专业，获得工学博士学位。同年留校任教至今。2015年6月至2016年6月在美国德克萨斯大学达拉斯分校计算机系以访问学者的身份进行合作研究。
主要从事多媒体智能计算、数字孪生、服务计算等方面研究。主持国家重点研发计划、国家863计划、山东省自然科学基金等课题，作为骨干参加国家和省部级科研项目10余项。在MM、SIGGRAPH、IJCAI、PG等领域权威期刊/会议发表论文50余篇，联合出版专著1本,授权专利 10余项。获山东省科技进步二等奖1项，中国发明协会创新奖一等奖1项, 济南计算机科学技术一等奖1项。作为指导教师，荣获第十七届全国软件创新大赛获全国总决赛一等奖、第四届计图人工智能挑战赛获全国二等奖、山东省优秀硕士论文、山东省研究生创新成果奖等。参与研发的“基于CAV环境的古琴艺术治疗系统”入选全国艺术疗愈优秀实践示范案例, “心灵的奇幻之旅：虚拟现实助力青少年精神心理康复”入选2024CCF技术公益案例集。
近5年部分学术论文
2025年
1. Kaiyue Liu , Lei Wu∗, Mingzhe Yu, Xiaole Liu, Yajie Xu ∗,, Xiangxu Meng ArtTypo: Multi-Level Controlled Artistic Typography with Iterative Feedback, ICME2025
2024年
2. Xiang Li, Lei Meng, Lei Wu∗, Manyi Li, Xiangxu Meng, DreamFont3D: Personalized Text-to-3D Artistic Font Generation,ACM SIGGRAPH 2024,Pages1–11(CCF A)
3. Changshuo Wang, Mingzhe Yu, Lei Wu∗， Lei Meng, Xiang Li, Xiangxu Meng，InstantAS: Minimum Coverage Sampling for Arbitrary-Size Image Generation，MM2024, Pages 3180 – 3188 (CCF A)
4. Xiaole Liu, Lei Wu∗, Changshuo Wang, Pei Dong, Xiangxu Meng, LGDiffuser: Stroke-level Guidance Diffusion Model for Complex Scene Text Editing， PG 2024
5. Cheng, Z., Wu, L∗., Li, X. and Meng, X., SMFS-GAN: Style-Guided Multi-class Freehand Sketch-to-Image Synthesis. Computer Graphics Forum 2024，Volume43, Issue6, p1-13 e15190.
6. Xu Chen , Lei Wu∗ Yongliang Su , Lei Meng, Xiangxu Meng，Font Transformer for Few-Shot Font Generation，Computer Vision and Image Understanding，245 (2024) 104043
7. Zhenwei Cheng, Lei Wu∗, Changshuo Wang, Xiangxu Meng, Scene Sketch-to-Image Synthesis Based on Multi-Object Control, ICASSP 2024
8. Mingzhe Yu，Lei Wu∗，Changshuo Wang ，Lei Meng，Xiangxu Meng， LayoutDM: Precision Multi-Scale Diffusion for Layout-to-Image，IEEE International Conference on Multimedia and Expo, ICME2024
9. Mingzhe Yu, Yunshan Ma, Lei Wu∗, Kai Cheng, Xue Li, Lei Meng, Tat-Seng Chua, Smart Fitting Room: A One-stop Framework for Matching-aware Virtual Try-On，ICMR2024
10. Pei Dong , Lei Wu∗, Ruichen Li, Xiangxu Meng , Lei Meng, Text to Image Synthesis with Multi-granularity Feature Aware Enhancement Generative Adversarial Networks, Computer Vision and Image Understanding ，Volume 245, August 2024 (2024) 104042
11. Lei Meng , Zhuang Qi∗ , Lei Wu, Xiaoyu Du , Zhaochuan Li, Lizhen Cui , and Xiangxu Meng，Improving Global Generalization and Local Personalization for Federated Learning，TNNLS2024
2023年
12. Xiang Li , Lei Wu∗ , Changshuo Wang , Lei Meng∗ , Xiangxu Meng，Compositional Zero-Shot Artistic Font Synthesis， IJCAI International Joint Conference on Artificial Intelligence, Volume 2023-August, Pages 1098-1106, 2023 (CCF A)
13. Changshuo Wang, Lei Wu∗, Xiaole Liu, Xiang Li, Lei Meng∗, Xiangxu Meng, Anything to Glyph: Artistic Font Synthesis via Text-to-Image Diffusion Model, Siggraph Asia 2023(CCF A)
14. Yongliang Su, Xu Chen, Lei Wu∗, Xiangxu Meng, Learning Component-level and Inter-class Glyph Representation for Few-shot Font Generation.ICME2023,PP 738-743
15. Changshuo Wang, Lei Wu∗, Xu Chen, Xiang Li, Lei Meng∗, Xiangxu Meng, Letter Embedding Guidance Diffusion Model for Scene Text Editing. ICME2023, CCF B
16. Xingming Lv, Lei Wu∗ , Zhenwei Cheng, Xiangxu Meng， End-to-End Unsupervised sketch to image generation，ICASSP2023
2022年
17. Haochen Sun, Lei Wu∗, Xiang Li and Xiangxu Meng，Style-woven attention network for zero-shot ink wash painting style transfer，the ACM International Conference on Multimedia Retrieval ,ICMR2022, pp. 277–285
18. Pei Dong, Lei Wu∗, Lei Meng, Xiangxu Meng. Disentangled Representations and Hierarchical Refinement of Multi-Granularity Features for Text-to-Image Synthesis，the ACM International Conference on Multimedia Retrieval ,ICMR2022
19. Xiang Li, Lei Wu∗，Xu Chen, Lei Meng*, Xiangxu Meng , DSE-NET: Artistic Font Image Synthesis Via Disentangled Style Encoding , ICME2022
20. Xin Zhao, Lei Wu∗ , Xu Chen, Bin Gong， High-quality Image Generation From Scene Graphs With Transformer， IEEE International Conference on Multimedia and Expo ICME2022, pp. 1-6
21. Lin Gao, Lei Wu∗, Xiangxu Meng ，EL-GAN: Edge-Enhanced Generative Adversarial Network for Layout-to-Image Generation, COMPUTER GRAPHICS FORUM, Volume41, Issue7， October 2022,pp. 407-418
22. PeiDong, Lei Wu∗,LeiMeng∗,XiangxuMeng, HR-PrGAN: High-Resolution Story visualization with Progressive Generative Adversarial Networks, Information Sciences ,Volume 614, October 2022, Pages 548-562
2021年
23. Xu Chen, Lei Wu∗*, Minggang He, Lei Meng*, Xiangxu Meng，MLFont: Few-Shot Chinese Font Generation via Deep Meta-Learning， ICMR 2021，Pages 37–45
