简 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:
期刊文章:
[1] Jiang, Xinlong, Yiqiang Chen, Junfa Liu, Yang Gu, and Lisha Hu. "FSELM: fusion semi-supervised extreme learning machine for indoor localization with Wi-Fi and Bluetooth fingerprints." Soft Computing 22, no. 11 (2018): 3621-3635.
[2] Jiang, Xinlong, Junfa Liu, Yiqiang Chen, Dingjun Liu, Yang Gu, and Zhenyu Chen. "Feature adaptive online sequential extreme learning machine for lifelong indoor localization." Neural Computing and Applications 27, no. 1 (2016): 215-225.
[3] 蒋鑫龙, 陈益强, 刘军发, 忽丽莎, and 沈建飞. "面向自闭症患者社交距离认知的可穿戴系统." 浙江大学学报 (工学版) 51, no. 4 (2017): 637-647.
[4] 谷洋, 蒋鑫龙, 刘军发, 等.设备自适应的无线信号特征提取与定位方法[C].//中国计算机学会%中国图象图形学学会%中国自动化学会.第九届和谐人机环境联合学术会议论文集.2013:36-36.
[5] 黄正宇, 蒋鑫龙, 刘军发, 陈益强, and 谷洋. "基于融合特征的半监督流形约束定位方法." 浙江大学学报 (工学版) 51, no. 4 (2017): 655-662.
会议文章:
[1] 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.
[2] Jiang, Xinlong, Yunbing Xing, Teng Zhang, Wuliang Huang, Chenlong Gao, and Yiqiang Chen. "Poster Abstract: A Wearable Diagnostic Assessment System for Attention Deficit Hyperactivity Disorder." In 2019 IEEE/ACM International Conference on Connected Health: Applications, Systems and Engineering Technologies (CHASE), pp. 13-14. IEEE, 2019.
[3] Jiang, Xinlong, Yunbing Xing, Yiqiang Chen, Yang Gu, and Junfa Liu. "Indoor Trajectory Restoration Method Based on PoI Relation Constraints." In 2019 IEEE SmartWorld, Ubiquitous Intelligence & Computing, Advanced & Trusted Computing, Scalable Computing & Communications, Cloud & Big Data Computing, Internet of People and Smart City Innovation (SmartWorld/SCALCOM/UIC/ATC/CBDCom/IOP/SCI), pp. 439-446. IEEE, 2019.
[4] Jiang, Xinlong, LouAnne E. Boyd, Yiqiang Chen, and Gillian R. Hayes. "ProCom: designing a mobile and wearable system to support proximity awareness for people with autism." In Proceedings of the 2016 ACM International Joint Conference on Pervasive and Ubiquitous Computing: Adjunct, pp. 93-96. 2016.
[5] Jiang, Xinlong, Yiqiang Chen, Junfa Liu, Gillian R. Hayes, Lisha Hu, and Jianfei Shen. "AIR: recognizing activity through IR-based distance sensing on feet." In Proceedings of the 2016 ACM International Joint Conference on Pervasive and Ubiquitous Computing: Adjunct, pp. 97-100. 2016.
[6] Jiang, Xinlong, Yiqiang Chen, Junfa Liu, Yang Gu, Lisha Hu, and Zhiqi Shen. "Heterogeneous data driven manifold regularization model for fingerprint calibration reduction." In 2016 Intl IEEE Conferences on Ubiquitous Intelligence & Computing, Advanced and Trusted Computing, Scalable Computing and Communications, Cloud and Big Data Computing, Internet of People, and Smart World Congress (UIC/ATC/ScalCom/CBDCom/IoP/SmartWorld), pp. 74-81. IEEE Computer Society, 2016.
[7] Boyd, LouAnne E., Xinlong Jiang, and Gillian R. Hayes. "ProCom: Designing and evaluating a mobile and wearable system to support proximity Awareness for People with Autism." In Proceedings of the 2017 CHI Conference on Human Factors in Computing Systems, pp. 2865-2877. 2017.
[8] Chen, Yiqiang, Yang Gu, Xinlong Jiang, and Jindong Wang. "Ocean: A new opportunistic computing model for wearable activity recognition." In Proceedings of the 2016 ACM International Joint Conference on Pervasive and Ubiquitous Computing: Adjunct, pp. 33-36. 2016.
专利:
[1] 陈益强, 魏代华, 忽丽莎, 蒋鑫龙. 一种普适化的睡眠质量测评方法和系,ZL201710277177.X
[2] 陈益强, 陈振宇, 沈建飞, 蒋鑫龙, 忽丽莎, 王双全. 一种跌倒检测模型构建方法及相应的跌倒检测方法和装置, ZL201510751929.2
科研项目:
[1] 国家自然科学基金(青年):《情境驱动的多动症可解释量化评估方法研究》,2020/1-2022/12,项目负责人,在研
[2] 残联辅助器具专项课题:《面向脑瘫患者肢体康复的可穿戴交互训练系统》,2020/9-2021/8,项目负责人,在研
[3] 北京市重点实验室开放课题,《面向注意力缺陷多动症的多模态辅助诊断方法研究》,2019/1-2021/12,项目负责人,在研
[4] 河北省青年基金,《可穿戴用户行为个性化感知方法研究》,2019/1-2021/12,参与单位负责人,在研
[5] 北京市科委脑科学重大专项,《面向注意力缺陷多动症的可穿戴辅助诊断评估模型研究》,2017/1-2019/12,执行负责人,已结题
[6] 国家自然科学基金(面上),76万,《面向可穿戴用户行为识别的增量学习方法研究》,2016/1-2019/12,主要参与人,已结题
[7] 国家自然科学基金(面上),《融合多元传播模型和指纹模型的免标定室内定位方法研究》2014/1-2018/12,主要参与人,已结题
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: