傅忱忱
职称:副高
所在院系:计算机工程系
研究方向:物联网时敏感知计算、智能无人系统、算法分析与设计
电话:
邮箱:chenchen_fu@seu.edu.cn
职务:
个人简介

傅忱忱,江苏省优秀青年基金、ACM分会新星奖获得者,东南大学至善学者、计算机学院博导。于2012年在山东大学计算机科学与技术学院取得学士学位。于2017年获得香港城市大学电脑科学系博士学位。2017年初至2019年初任香港城市大学的博士后。博士期间的导师和合作导师分别是Dr. Chun Jason Xue 和 Dr. Minming Li。自2019年1月起在东南大学计算机科学与工程学院任职副教授。在相关领域的国际优秀会议与期刊上(包括TC, TKDE, TCAD, INFOCOM, RTSS, DAC等)发表论文40余篇,其中CCF A类论文26篇。并担任多个国际著名期刊的审稿人,是DAC,ASP-DAC,GPC等多个国际会议的PC member。



研究方向

研究兴趣:智能无人系统、智能物联网、算法设计分析与优化等

1. Autonomous UAV

Study the self-driving, autonomous tracking, trajactory planning and searching problem on a real-implemented UAV, which is highly related to real-time SLAM, deap neural network, computer vision and reinforcement learning, etc.




2. Real-time UAV 3D reconstruction

Deploy multiple UAVs in the unkonwn area to automatically do the sensing tasks, to finally achieve the real-time high-quaility 3D reconstruction.



3. Wireless Data and Power Transfering (AoI analysis)

Sdudy the deployment and trajectory planning problem of charging devices in WSN, to provide controllable power supply to sener nodes instead of replacing the batteries by humans (related methods: Bandits, mathmatical analysis, etc.). 





4. Real-time data retrieval by mobile devices 

Study the data collection problem in IoT systems where robot plans the path or task scheduling to collect information under sevearl constraints such as data freshness, energy budget, communication ranges, etc. (related methods: mathmatical analysis, combinatorial optimization, etc.)



教育经历

2008-2012年,山东大学,计算机科学与技术学院,本科/工学学士

2012-2016年,香港城市大学,电脑科学系,博士研究生/工学博士

                            导师:Chun Jason Xue(薛春), Minming Li(李闽溟)


工作经历

2017-2019年,香港城市大学,电脑科学系,博士后,

                            合作导师:Chun Jason Xue(薛春), Jianping Wang(汪建平)

2019-至今,    东南大学,计算机科学与工程学院,副教授、博导


科研项目

【主持】江苏省优秀青年基金项目,2023年9月-2026年8月,项目负责人,在研;

   主题:多无人机协同感知与数据融合方法研究

   应用:智能无人系统、无人机协同算法等

【主持】国家自然科学基金面上项目20231-202612月,项目负责人,在研;

   主题:无人机数据采集与路径规划

   应用:智能无人系统,基于图神经网络的无人机/无人车路径规划,机器视觉等

【主持】国家自然科学基金青年项目项目负责人,已结题;

【主持】江苏省自然科学基金青年项目,项目负责人,优秀结题;

【主持】企业合作项目,中国船舶七一九所合作课题“xxx智能交互与支持策略xxxx”,112万,项目负责人,在研;

【主持】企业合作项目,(中国兵器)北方信息控制研究院集团合作课题“基于无人机的三维环境快速建模系统”,60万,项目负责人,在研;

【主持】企业合作项目,江苏金恒信息科技股份有限公司合作课题“低倍智能判级算法研究”,20万,项目负责人,已结题;

【主持】企业合作项目,江苏金恒信息科技股份有限公司合作课题“钢板号字符识别算法研究”,14万,项目负责人,已结题;

【参与】国家级,国家重点研发项目课题“多源数据汇聚与智能协同处理技术”340万,骨干参与,已结题。


论文著作

News!

* One new paper on data transmission in systems powered by hybrid energy is accepted in TKDE, CCF A, to appear in 2024

Fresh Data Retrieval with Speed-adjustable Mobile Devices in Cyber-Physical Systems


Publications (发表文章)(selected):


CCF AChenchen Fu, Xinhang Lu, Xiaoxing Qiu, Sujunjie Sun, Xueyong Xu, Weiwei Wu, Chun Jason Xue, Song Han: Throughput Maximization in Wireless Communication Systems Powered by Hybrid Energy Harvesting. IEEE Transactions Comput. Aided Des. Integr. Circuits Syst (TCAD). 41(11): 3981-3992. 2022

CCF AChenchen Fu, Xiaoxing Qiu, Zelin Yun, Song Han, Weiwei Wu and Chun Jason Xue,Keep Fresh: Real-time Data Retrieval with Speed Adaptation in Mobile Cyber-Physical Systems,IEEE Real-Time Systems Symposium (RTSS), 2021, pp. 304-315

CCF AChenchen Fu, Qiangqiang Liu, Peng Wu, Minming Li, Chun Jason Xue, Yingchao Zhao, Jingtong Hu and Song Han. “Real-Time Data Retrieval in Cyber-Physical Systems with Temporal Validity and Data Availability Constraints.” IEEE Transactions on Knowledge and Data Engineering (TKDE), 31(9): 1779-1793 (2019).

CCF AChenchen Fu, Peng Wu, Minming Li, Chun Jason Xue, Yingchao Zhao and Song Han. “Real-Time Data Retrieval with Multiple Availability Intervals in CPS under Freshness Constraints.” IEEE Transactions on Computer-Aided Design of Integrated Circuits and Systems (TCAD), 37(11): 2743-2754 (2018).

CCF AChenchen Fu, Gruia Calinescu, Minming Li, Kai Wang and Chun Jason Xue. “Energy-Aware Real-Time Task Scheduling on Local/Shared Memory System.” Proceedings of Real-Time Systems Symposium (RTSS), 2016: 269-278.

CCF AXiang Liu, Chenchen Fu(共同一作)Weiwei Wu, Minming Li, Wanyuan Wang, Vincent Chau and Junzhou Luo, Budget-Feasible Mechanisms in Two-Sided Crowdsensing Markets: Truthfulness, Fairness, and Efficiency, IEEE Transactions on Mobile Computing (TMC), 22(12): 6938-6955 (2023)

CCF AGruia Calinescu, Chenchen Fu(共同一作), Kai Wang, Minming Li and Chun Jason Xue. “Energy Optimal Task Scheduling with Normally-off Local Memory and Sleep-aware Shared Memory with Access Conflict.” IEEE Transactions on Computers (TC), 67(8): 1121-1135 (2018).

CCF APeng Wu, Chenchen Fu(通讯), Tianyu Wang, Minming Li, Yingchao Zhao, Chun Jason Xue and Song Han, Composite Resource Scheduling for Networked Control Systems, IEEE Real-Time Systems Symposium (RTSS), 2021, pp. 162-175

CCF AXiang Liu, Yifan Qin, Weiwei Wu, Chenchen Fu(通讯), Yan Lyu, Fang Dong, Junzhou Luo: B2-Bandit: Budgeted Pricing With Blocking Constraints for Metaverse Crowdsensing Under Uncertainty. IEEE J. Sel. Areas Commun (JSAC). 42(3): 724-736 (2024)

CCF AXiaoxing Qiu, Weiwei Wu, Chenchen Fu(通讯), Zelin Yun, Vincent Chau, Song Han, Minimizing AoI of Non-Uniform Multi-Source Real-Time Data Updates: Model Generalization, Analysis and Performance Evaluation. IEEE RTSS 2023: 358-370

CCF ASujunjie Sun, Weiwei Wu, Chenchen Fu(通讯), Xiaoxing Qiu, Junzhou Luo: Energy-aware Age Optimization: AoI Analysis in Multi-source Update Network Systems Powered by Energy Harvesting. IEEE INFOCOM 2023: 1-10

CCF AZimeng Zhou, Chenyun Yu, Sarana Nutanong, Yufei Cui, Chenchen Fu(通讯), Chun Jason Xue. “A Hardware- Accelerated Solution for Hierarchical Index-Based Merge Join” IEEE Transactions on Knowledge and Data Engineering (TKDE), 31(1): 91-104 (2019).

CCF AZimeng Zhou, Chenchen Fu, Chun Jason Xue, Song Han, Wei Zhang, Lei Ju: Optimizing Worst Case Data Freshness in RF-Powered Networked Embedded Systems. IEEE Transactions Comput. Aided Des. Integr. Circuits Syst. (TCAD) 42(9): 2877-2888 (2023)

CCF AZimeng Zhou, Chenchen Fu, Chun Jason Xue and Song Han. Transmit or Discard: Optimizing Data Freshness in Networked Embedded Systems with Energy Harvesting Sources. Proceedings of the 54th Annual Design Automation Conference (DAC), 2019: 35

CCF APeng Wu, Chenchen Fu, Minming Li, Yingchao Zhao, Chun Jason Xue, Song Han: Work-in-Progress: Joint Network and Computing Resource Scheduling for Wireless Networked Control Systems. IEEE Real-Time Systems Symposium (RTSS), 2018: 181-184.

CCF AMengying Zhao, Chenchen Fu, Zewei Li, Qingan Li, Mimi Xie, Yongpan Liu, Jing- tong Hu, Zhiping Jia, Chun Jason Xue. “Stack-size Sensitive On-chip Memory Back-up for Self-powered Non-volatile Processors.” IEEE Transactions on Computer-Aided Design of Integrated Circuits and Systems (TCAD), 36(11): 1804-1816 (2017).

CCF AZimeng Zhou, Chenchen Fu, Chun Jason Xue and Song Han, Energy-Constrained Data Freshness Optimization in Self-Powered Networked Embedded Systems, IEEE Transactions on Computer-Aided Design of Integrated Circuits and Systems (TCAD), vol. 39, no. 10, pp. 2293-2306, Oct. 2020

CCF AYu Liang, Cheng Ji, Chenchen Fu, Rachata Ausavarungnirun, Qiao Li, Riwei Pan, Siyu Chen, Liang Shi, Tei-Wei Kuo, Chun Jason Xue, iTRIM: I/o-aware TRIM for improving user experience on mobile devices, IEEE Transactions on Computer-Aided Design of Integrated Circuits and Systems (TCAD), vol. 40, no. 9, pp. 1782-1795, Sept. 2021

CCF AZimeng Zhou, Zelin Yun, Chenchen Fu, Chun Jason Xue, Song Han: Maintaining Real-Time Data Freshness in Wireless Powered Communication Networks. IEEE Real-Time Systems Symposium (RTSS), 2020, pp. 166-177

CCF AHehe Li, Yongpan Liu, Chenchen Fu, Chun Jason Xue, Donglai Xiang, Jinshan Yue, Jinyang Li, Daming Zhang, Jingtong Hu, Huazhong Yang. “Performance-Aware Task Scheduling for Energy Harvesting Nonvolatile Processors Considering Power Switching Overhead.” Proceedings of the 51st Annual Design Automation Conference (DAC). ACM, 2016: 156:1-156:6.

CCF AYu Liang, Riwei Pan, Yajuan Du, Chenchen Fu, Liang Shi, Tei-Wei Kuo and Chun Jason Xue, Read-Ahead Efficiency on Mobile Devices: Observation, Characterization, and Optimization, IEEE Transactions on Computers (TC), vol. 70, no. 1, pp. 99-110, 1 Jan. 2021

CCF AChao Wu, Cheng Ji, Qiao Li, Congming Gao, Riwei Pan, Chenchen Fu, Liang Shi, Chun Jason Xue: Maximizing I/O Throughput and Minimizing Performance Variation via Reinforcement Learning Based I/O Merging for SSDs. IEEE Transactions on Computers (TC) 69(1): 72-86 (2020) 

CCF AKeni Qiu, Mengying Zhao, Qing’an Li, Chenchen Fu, Chun Jason Xue. “Migration-Aware Loop Retiming for STT-RAM-Based Hybrid Cache in Embedded Systems.” IEEE Transactions on Computer-Aided Design of Integrated Circuits and Systems (TCAD), 33(3): 329-342 (2014).

JCR Q1Chenchen Fu, Xueyong Xu, Yuntao Zhang, Yan Lyu, Yu Xia, Zining Zhou, Weiwei Wu: Memory-enhanced deep reinforcement learning for UAV navigation in 3D environment. Neural Comput. Appl (NCAA). 34(17): 14599-14607. 2022

JCR Q2Chenchen Fu, Zhengxuan Gao, Weiwei Wu, Vincent Chau, Jie Wang, Xueyong Xu, Junzhou Luo: A learning approach for multi-agent travelling problem with dynamic service requirement in mobile IoT. Comput. Electr. Eng (CAEE). 104: 108397. 2022

JCR Q2Chenchen Fu, Vincent Chau#, Minming Li and Chun Jason Xue. “Race to Idle or Not: Balancing the Memory Sleep Time with DVS for Energy Minimization.” Journal of Combinatorial Optimization (JOCO), 35(3): 860-894 (2018).

Trans&CCF BChenchen Fu, Yingchao Zhao, Minming Li and Chun Jason Xue. “Maximizing Common Idle Time on Multi-core Processors with Shared Memory.” IEEE Transactions on Very Large Scale Integration Systems (TVLSI), 25(7): 2095-2108 (2017).

CCF BChenchen Fu, Minming Li, Chun Jason Xue. “Race to Idle or Not: Balancing the Memory Sleep Time with DVS for Energy Minimization.” Proceedings of the 2015 Design, Automation & Test in Europe Conference & Exhibition (DATE). EDA Consortium, 2015: 13-18.

CCF BChenchen Fu, Yingchao Zhao, Minming Li, Chun Jason Xue. “Maximizing Common Idle Time on Multi-core Processors with Shared Memory.” Proceedings of the 2015 Design, Automation & Test in Europe Conference & Exhibition (DATE). EDA Consortium, 2015: 900-903.

Trans&CCF BZiyao Huang, Weiwei Wu, Chenchen Fu(通讯), Xiang Liu, Feng Shan, Jianping Wang, Xueyong Xu, Communication-Topology-preserving Motion Planning: Enabling Static Routing in UAV Networks. ACM Transactions  Sens. Networks (ToN) 20(1): 24:1-24:39 (2024)

CCF BLiyi Chen, Weiwei Wu, Chenchen Fu(通讯), Xiao Han and Yuntao Zhang, Weakly Supervised Semantic Segmentation with Boundary Exploration, Proceedings of European Conference on Computer Vision (ECCV), 2020. pp. 347-362

Trans&CCF BJinyang Li, Yongpan Liu, Hehe Li, Zhe Yuan, Chenchen Fu, Jinshan Yue, Chun Jason Xue, Jingtong Hu and Huazhong Yang. “PATH: Performance-Aware Task Scheduling for Energy Harvesting Nonvolatile Processors.” IEEE Transactions on Very Large Scale Integration Systems (TVLSI), 26(9): 1671-1684 (2018).


专利

部分专利列表:

[1] 【授权】傅忱忱,薛春,李建华,王元钢,郭鑫,数据相似度确定方法、装置及处理设备,授权公告号:CN110309143B, 授权公告日:2021/10/22.

[2] 【授权】傅忱忱,郜正轩,吴巍炜,吕妍,周頴豪,徐学永,夏羽,基于深度强化学习的无人车充电路径规划方法。授权公告号CN114676909A,申请日:2022/03/25.

[3] 【申请】章翔(博士生)傅忱忱,吕妍,吴巍炜,李福存,李井先,张波,胡风,杨爱玲,基于卷积神经网络的钢板编号识别系统及方法。中国发明专利, 申请号:202211076650.5,申请日:2022/09/05.

[4] 【公开】吴巍炜、刘翔、徐学永、傅忱忱、夏羽、吕妍、方效林,一种平衡偏置的多源数据协同优选与融合方法和装置。中国发明专利,公开号:CN113344085A,申请日:2021/06/16.

[5] 【申请】吴巍炜,高勇,徐学永,傅忱忱,夏宇,徐宇航,李嘉楠,陈越,面向野外山林环境搜救的多机协同三维建模系统及方法。中国发明专利, 申请号:202210857288.9,申请日: 2022/07/20.

[6] 【公开】凌波,项森伟,谢安桓,吴巍炜,傅忱忱,徐学永,张运涛,魏宁,高勇,一种基于记忆增强学习的无人机自主避障导航方法。中国发明专利,公开号:CN115016534A,申请日: 2022/06/02.

[7] 【公开】吴巍炜,方效林,项森伟,谢安桓,凌波,傅忱忱,卢震,高勇,基于单目景深预测和深度增强学习的无人机森林探索系统。中国发明专利, 公开号:CN114943757A,申请日: 2022/06/03.


获奖情况

1. 江苏省优秀青年基金,2023

2. ACM分会新星奖,ACM中国(江苏省共2人),2019

3. 江苏省双创博士,江苏省科学技术厅等,2020

4. 至善学者A层次,东南大学,2021

5. [Best Paper NominationChenchen Fu; Peng Wu; Minming Li; Chun Jason Xue; Yingchao Zhao; Song Han, Real-Time Data Retrieval With Multiple Availability Intervals in CPS Under Freshness Constraints, 2018 International Conference on Embedded Software (EMSOFT), Torino Incontra, Torino, Italy, 2018.9.30-2018.10.5

6. 南京市留学择优人才,南京市人力资源和社会保障局,2020

7. DAC 2018 System Design Contest GPU全球第6名,CCF A类国际会议DAC2018


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