Dr. Chenchen Fu (傅忱忱)
Associate Professor 博导
School of Computer Science and Engineering, Southeast University
Address: Room 224, Building of Computer Science, Jiulonghu Campus, Southeast University, Nanjing, P. R. China
Email: chenchen_fu@seu.edu.cn
Research interests: Wireless Networks, Autonomous UAV systems, Object Detection and Tracking, Algorithm Design and Optimization, AIoT, etc.
研究兴趣：无线网络，智能无人系统，目标检测与追踪，算法设计与优化，智能物联网等
Bio (个人简介)：
Dr. Chenchen Fu received the B.E. degree from the Department of Computer Science and Technology in Shandong University, Jinan, China, in 2012. She received the Ph.D degree from the Department of Computer Science, City University of Hong Kong in Feb. 2017 and then stayed in City University of Hong Kong for 2 years as a postdoc fellow. Her advisor and co-advisor during the PhD period are Dr. Chun Jason Xue and Dr. Minming Li, respectively. She is now an Associate Professor in the School of Computer Science and Engineering, Southeast University, China. She has published over 40 peer-reviewed papers in international transactions/conferences, such as TC, TKDE, TCAD, TVLSI, RTSS, DAC, DATE, ESWEEK etc., including 26 CCF A ranking papers or IEEE/ACM Transactions. She serves as reviewers for several top transactions, and is also the PC member of several international conferences such as DAC, ASP-DAC, GPC, etc.
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。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, TVLSI, RTSS, DAC, DATE, ESWEEK等）发表论文40余篇，其中CCF A类论文及IEEE/ACM Transactions期刊20余篇。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。
Topics of Research/Projects:
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. RF-based Wireless Charging
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.)
学生需求：
每年招收2名博士生，5名研究生，有钻研精神的本科生不限，学生可根据自身情况选择系统研究路线或理论研究路线。
系统研究路线侧重于对深度神经网络的学习与实践、基于图像与视频的目标检测、目标追踪、地图建模、避障、路径搜索等方向，要求具有较高的编程能力和探究精神，表现优异者可以参与到国家重点项目和企业项目中。
理论研究路线侧重于对深度神经网络算法、图神经网络、凸优化算法、AIoT的分析、建模与使用，要求具有较高的逻辑分析、推理能力和钻研精神，表现优异者有机会与国外优秀导师建立长期合作关系。
欢迎对技术、科研有热情的研究生和本科生与我联系！
News!
* One new paper on non-uniform data update to minimize AoI is accepted in RTSS 2023, CCF A.
Minimizing AoI of Non-uniform Multi-source Real-time Data Updates: Model Generalization, Analysis and Performance Evaluation
* 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
* One new paper on bandit algorithm in crowdsensing is accepted in JSAC, CCF A, to appear in 2024
B2-bandit: Budgeted Pricing with Blocking Constraints for Metaverse Crowdsensing under Uncertainty
主持项目：
1. 国家自然科学面上基金（主持）
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
2. 江苏省优秀青年基金（主持）
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
3. 军工、企业项目（主持）
【中国兵器】无人机3D地图建模
【719所】xxxx
【江苏金恒】基于视觉的低倍缺陷检测
【江苏金恒】智能字符识别
4. 国家自然科学青年基金（主持）
主题：无线移动网络数据收集
应用：智能物联网（AIoT），移动设备/传感器数据传输等
5. 江苏省自然科学青年基金（主持）
主题：移动充电网络设计与优化
应用：基于RF-signal的无线电力传输，基于beamforming技术的能量优化，混合能量系统设计与优化等
Awards & Honors (获奖荣誉)：
江苏省优秀青年基金
ACM rising star（ACM分会新星奖）
江苏省双创博士
东南大学“至善学者”A类
南京市留学择优人才
[Best Paper Nomination] Chenchen 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
Publications (发表文章)（selected）：
【CCF A】Chenchen 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 A】Chenchen 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 A】Chenchen 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 A】Chenchen 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 A】Chenchen 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 A】Xiang 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 A】Gruia 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 A】Peng 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 A】Sujunjie 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 A】Zimeng 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 A】Zimeng 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 A】Yu 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 A】Zimeng 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 A】Peng 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 A】Mengying 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 A】Zimeng 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 A】Hehe 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 A】Yu 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 A】Zimeng 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 A】Chao 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 A】Keni 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 Q1】Chenchen 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. 34(17): 14599-14607. 2022
【JCR Q2】Chenchen 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. 104: 108397. 2022
【JCR Q2】Chenchen 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 B】Chenchen 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 B】Chenchen 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 B】Chenchen 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.
【CCF B】Liyi 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 B】Jinyang 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).
