任焕荣,1995年09月生,本科毕业于燕山大学机械工程系,后在西安交通大学完成硕博连读,取得博士学位。主要研究方向为具身智能系统、自然语言处理交互与知识图谱推理,重点突破跨模态表征学习(图像/文本/知识图谱)、混合决策模型(强化学习+符号推理)及轻量化AI算法迁移等核心技术,研究成果应用于服务机器人动态交互、工业知识图谱构建等垂直领域,形成多项软著专利与高影响力论文。
[1] Ren H, Guo W, Jiang P, et al. An integrated approach of Active Incremental fine-tuning, SegNet, and CRF for cutting tool wearing areas segmentation with small samples. Knowledge-Based Systems, 2021.
[2] Ren H, Yang M, Jiang P. Improving attention network to realize joint extraction for the construction of equipment knowledge graph. Engineering Applications of Artificial Intelligence, 2023.
[3] Ren H, Li Q, Jiang P. Machine as a smart service: A hybrid knowledge graph approach. Flexible Services and Manufacturing Journal, 2024.
[4] Ren H, Jiang P. Intelligent interface of the machine based on knowledge graph[C]. 2023 IEEE International Conference on Mechatronics and Automation (ICMA). IEEE, 2023: 2419-2423.
[5] Haruna A, Yang M, Jiang P, Ren H. Collaborative task of entity and relation recognition for developing a knowledge graph to support knowledge reasoning for design for additive manufacturing[J]. Advanced Engineering Informatics, 2024, 60: 102364.
[6] Yang M, Jiang P, Shi H, Zang T, Ren H. Socialized Incubator for Startup Companies: A New Paradigm to Construct Multilayer Industrial Ecosystem Under the Context of Social Manufacturing[J]. IEEE Transactions on Computational Social Systems, 2024.