简 历:
蒋鑫龙,副研究员、硕士生导师。2011年于北京邮电大学获得学士学位,2018年博士毕业于中国科学院计算技术研究所。研究方向为模联网与多智能体协同,及其在医学和教育领域的应用。现为CCF普适计算专委委员,CAAI智慧医疗专委委员,参与IEEE FML、XAI等标准制定。在IEEE TKDE,AAAI等人工智能与普适计算领域发表论文近五十篇,申请国家发明专利37项(授权16项),软件著作权7项。入选“北京市海淀区专家库”,获得“中科院青促会”人才计划。
工作经历:
2020年10月—今:中国科学院计算技术研究所,副研究员
2018年7月—2020年9月:中国科学院计算技术研究所,助理研究员
2011年9月—2018年7月:中国科学院计算技术研究所,博士生
2015年9月—2016年9月:美国加州大学欧文分校,公派博士研究生
2007年9月—2011年7月:北京邮电大学,信息与通信工程学院,本科生
主要论著:
[1] Mou Tingting, Xinlong Jiang, Liuxin Wang, Qian Chen, Teng Zhang, Chenlong Gao, Yiqiang Chen. Decentralized personalized federated learning with dynamic graph collaboration for healthcare, 2026 IEEE International Conference on Multimedia and Expo (ICME), Bangkok, Thailand, 2026.
[2] Yiqiang Chen, Xinlong Jiang, Qian Chen, Xiaodong Yang, Jiahao Li, Teng Zhang, Xin Qin, Wuliang Huang. MoFedNet: Semantic Link is All Model Need[J]. Journal of Computer Science and Technology. DOI: 10.1007/s11390-025-5684-5(中国算力网大会最佳论文奖)
[3] Huang, Wuliang, Yiqiang Chen, Xinlong Jiang, Chenlong Gao, Teng Zhang, Qian Chen, and Yifan Wang. "Mitigating pervasive modality absence through multimodal generalization and refinement." In Proceedings of the AAAI Conference on Artificial Intelligence, vol. 39, no. 25, pp. 26796-26804. 2025.(CCF A类会议)
[4] Ye, Haocun, Xinlong Jiang, Chenlong Gao, Bingyu Wang, Wuliang Huang, and Yiqiang Chen. "VersaFusion: A Versatile Diffusion-Based Framework for Fine-Grained Image Editing and Enhancement." In Proceedings of the AAAI Conference on Artificial Intelligence, vol. 39, no. 9, pp. 9445-9453. 2025. (CCF A类会议)
[5] Zhang, Teng, Yiqiang Chen, Xinlong Jiang, Wuliang Huang, Qian Chen, Chenlong Gao, Zhirui Wang, and Bingjie Yan. "FairFHTL: Achieving Task-Agnostic Fairness in Federated Hetero-Task Learning." In 2025 IEEE International Conference on Multimedia and Expo (ICME), pp. 1-6. IEEE, 2025.
[6] Chen, Qian, Yiqiang Chen, Bingjie Yan, Xinlong Jiang, Xiaojin Zhang, Yan Kang, Teng Zhang et al. "Model trip: Enhancing privacy and fairness in model fusion across multi-federations for trustworthy global healthcare." In 2024 IEEE 40th International Conference on Data Engineering (ICDE), pp. 2231-2244. IEEE, 2024.(CCF A类会议)
[7] Yan, Bingjie, Qian Chen, Yiqiang Chen, Xinlong Jiang, Wuliang Huang, Bingyu Wang, Zhirui Wang, Chenlong Gao, and Teng Zhang. "Buffalo: Biomedical vision-language understanding with cross-modal prototype and federated foundation model collaboration." In Proceedings of the 33rd ACM International Conference on Information and Knowledge Management, pp. 2775-2785. 2024.
[8] Huang, Wuliang, Yiqiang Chen, Xinlong Jiang, Chenlong Gao, Qian Chen, Teng Zhang, Bingjie Yan, Yifan Wang, and Jianrong Yang. "Correlation-driven multi-modality graph decomposition for cross-subject emotion recognition." In Proceedings of the 32nd ACM international conference on multimedia, pp. 2272-2281. 2024.
[9] Wang, Zhirui, Xinlong Jiang, Chenlong Gao, Fan Dong, Weiwei Dai, Bingyu Wang, Bingjie Yan et al. "Eyegraphgpt: Knowledge graph enhanced multimodal large language model for ophthalmic report generation." In 2024 IEEE International Conference on Bioinformatics and Biomedicine (BIBM), pp. 3784-3789. IEEE, 2024.
[10] Chen, Yiqiang, Teng Zhang, Xinlong Jiang, Qian Chen, Chenlong Gao, and Wuliang Huang. "Fedbone: Towards large-scale federated multi-task learning." Journal of Computer Science and Technology 39, no. 5 (2024): 1040-1057.
[11] Yan, Bingjie, Danmin Cao, Xinlong Jiang, Yiqiang Chen, Weiwei Dai, Fan Dong, Wuliang Huang et al. "FedEYE: A scalable and flexible end-to-end federated learning platform for ophthalmology." Patterns 5, no. 2 (2024).(Cell子刊)
[12] Chen, Qian, Yiqiang Chen, Xinlong Jiang, Teng Zhang, Weiwei Dai, Wuliang Huang, Bingjie Yan, Zhen Yan, Wang Lu, and Bo Ye. "PrivFusion: privacy-preserving model fusion via decentralized federated graph matching." IEEE Transactions on Knowledge and Data Engineering 36, no. 12 (2024): 9051-9064.(CCF A类)
[13] Wang, Zhirui, Xinlong Jiang, Chenlong Gao, and Yiqiang Chen. "Interactive Scene-driven Multi-stream Graph Neural Network for ADHD Diagnosis." In 2023 IEEE Smart World Congress (SWC), pp. 1-8. IEEE, 2023.
[14] Huang, Wuliang, Yiqiang Chen, Xinlong Jiang, Teng Zhang, and Qian Chen. "GJFusion: A channel-level correlation construction method for multimodal physiological signal fusion." ACM Transactions on Multimedia Computing, Communications and Applications 20, no. 2 (2023): 1-23.
[15] Luo, Jie, Huanhuan Huang, Shuang Wang, Shengjian Yin, Sijian Chen, Lin Guan, Xinlong Jiang, Fan He, and Yi Zheng. "A Wearable Diagnostic Assessment System vs. SNAP-IV for the auxiliary diagnosis of ADHD: a diagnostic test." BMC psychiatry 22, no. 1 (2022): 415.
[16] Qin, Xin, Jindong Wang, Yiqiang Chen, Wang Lu, and Xinlong Jiang. "Domain generalization for activity recognition via adaptive feature fusion." ACM Transactions on Intelligent Systems and Technology 14, no. 1 (2022): 1-21.
[17] Jiang, Xinlong, Yiqiang Chen, Wuliang Huang, Teng Zhang, Chenlong Gao, Yunbing Xing, and Yi Zheng. "WeDA: Designing and evaluating a scale-driven wearable diagnostic assessment system for children with ADHD." In Proceedings of the 2020 CHI conference on human factors in computing systems, pp. 1-12. 2020.(CCF A类会议)
【专利】
[1] 蒋鑫龙,陈益强,黄武亮,吴启晨. 一种生成跨模态的表示向量的方法以及跨模态推荐方法,ZL202110562646.9,已授权
[2] 蒋鑫龙,陈前,陈益强,张腾,谷洋. 一种跨模态的迁移学习方法,ZL202110477456.7,已授权
[3] 蒋鑫龙,王健,陈益强,马兴敏,张腾. 一种应用于异构计算设备的联邦学习系统和方法,ZL202110435786.X,已授权
[4] 蒋鑫龙,陈益强,邢云冰,张腾,高晨龙. 用于认知能力提升的交互式辅助干预系统,ZL201910987541.0,已授权已转让
[5] 蒋鑫龙,陈前,陈益强,张腾,王柳新. 一种基于可解释信息量化评估的模型融合系统及方法,CN202610605099.0
[6] 蒋鑫龙,牟婷婷,陈益强,陈前,高晨龙. 基于静态拓扑与动态适配的去中心化个性化联邦学习方法,CN202610345870.5
[7] 蒋鑫龙,牟婷婷,陈益强,陈前,高晨龙. 一种基于动态协作图的去中心医疗联邦学习方法,CN202510962554.8
[8] 蒋鑫龙,王志睿,陈益强,陈前. 一种基于多模态眼科知识图谱的眼科辅诊报告生成方法,CN202510874931.2
[9] 蒋鑫龙,王志睿,陈益强,高晨龙. 一种眼科语言大模型的构建方法、眼科智能问诊方法,CN202510854599.3
[10] 蒋鑫龙,牟婷婷,高晨龙,闫冰洁. 一种疾病预测模型的联邦训练方法及系统、疾病预测方法,CN202311713643.6
[11] 蒋鑫龙,陈益强,闫振,张腾,黄武亮. 一种疾病预测模型的训练方法、疾病预测系统,CN202311648662.5
[12] 蒋鑫龙,王志睿,陈益强,张腾,黄武亮,高晨龙. 基于多流图神经网络的多动症智能决策支持方法及系统,CN202211699508.6
[13] 蒋鑫龙,陈前,陈益强,张腾,王永斌,张忠平,肖益珊. 基于联邦学习进行数据分析的方法及系统,CN202110359726.4
[14] 蒋鑫龙,陈益强,郑毅,乔雨曦,黄武亮,周玉明. 用于识别注意力缺陷多动障碍亚型的方法及系统,CN202110270623.0
[15] 蒋鑫龙,陈益强,沈鸿,张忠平,王永斌,刘廉如. 一种基于图卷积网络的缺失特征重表示方法及系统,CN202110211503.3
科研项目:
[1] 湘江公益基金重大项目:眼科多模态数据智能治理与专病数据库构建关键技术研究,2025.07-2027.06,主持,在研
[2] 计算所创新(基础研究)课题:模联网原理与关键技术,课题骨干 2025.06-2026.05,课题骨干,在研
[3] 国家自然科学基金面上项目:面向医学多中心协作的模型增量融合方法研究, 2025.01-2028.12,主持,在研
[4] 国家重点研发计划(子课题):基于生物标记和表情识别的孤独症早期智能诊断与评估技术,2023.12-2026.11,主持,在研
[5] 计算所创新(算力)课题:联邦协同眼科专病数据与多模态大模型构建,2024.07-2025.06,主持,结题
[6] 中国科学院:中国科学院青年创新促进会,2022.01-2025.12,主持,结题
[7] 计算所创新(子课题):面向智能医疗健康的联邦协作科研开放平台关键技术,2021.06-2023.05,主持,结题
[8] 中国残联辅具专项:面向脑瘫患者肢体康复的可穿戴交互训练系统,2020.09-2021.08,主持,结题
[9] 国家自然科学基金青年基金:情境驱动的多动症可解释量化评估方法研究,2020.01-2022.12,主持,结题
获奖及荣誉:
[1] 2025年 获CCF分布式计算大会暨中国算力网大会最佳论文奖
[2] 2022年 获中国电子学会科技进步二等奖
[3] 2019年、2022年、2025年获计算所优秀研究人员
[4] 2017年 获CHI最佳论文提名奖

蒋鑫龙 副研究员
研究方向:
所属部门:泛在计算系统研究中心
导师类别:硕导计算机应用技术
联系方式:jiangxinlong@ict.ac.cn
个人网页:https://people.ucas.edu.cn/~xinlongj