
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.