Fangda Guo (郭放达)

Professor (Assistant), ICT CAS    ORCID: 0000-0003-2401-6499    Scopus ID: 56427426700    ResearchGate: Overview    WeChat: 476657148    E-mail: guofangda@ict.ac.cn; gfdyes@gmail.com

Education

• Received the B.E. degree in Software Engineering from Northeastern University, in Jun 2013.
• Received the M.S. degree in Software Engineering (Supervisor: Prof. Zhiliang Zhu) from Northeastern University, in Jul 2015.
• Received double M.S. degree in Computer Engineering (Supervisor: Prof. Virginio Cantoni) from Università degli Studi di Pavia, Italy, in May 2016.
• Received the Ph.D. degree in Computer Science (Supervisor: Prof. Guoren Wang) from Northeastern University, in Oct 2021.

Qualification

• Joint Ph.D. of Prof. Wenfei Fan in the School of Informatics, University of Edinburgh, UK, from Oct 2016 to Oct 2017.

Research Filed

• Databases.
• Query Processing and Indexing.
• Graph Algorithms.
• Social Networking and Location-based Services.
• Machine Learning.

Publications

   International Journal

1. Fangda Guo, Ye Yuan, Guoren Wang, Lei Chen, Xiang Lian, Zimeng Wang.
   "Cohesive Group Nearest Neighbor Queries on Road-Social Networks under Multi-Criteria" [PDF]
   IEEE Trans. Knowl. Data Eng. (TKDE), vol. 33, no. 11, pp. 3520-3536, Nov 2021. (CCF-A, JCR-Q1, IF 9.235)
2. Ying Wang, Zhiliang Zhu, Bo Yang, Fangda Guo, Hai Yu.
   "Using reliability risk analysis to prioritize test cases" [PDF]
   Journal of Systems and Software (JSS), vol. 139, pp. 14-31, May 2018. (CCF-B, JCR-Q1, IF 3.514)
3. Yu Zhang, Ye Yuan, Fangda Guo, Yishu Wang, Guoren Wang.
   "Improving the multimodal probabilistic semantic model by ELM classifiers" [PDF]
   Journal of the Franklin Institute, vol. 355, no. 4, pp. 1967-1990, Mar 2018. (JCR-Q1, IF 4.246)
4. Zhiliang Zhu, Fangda Guo*, Hai Yu, Chen Chen.
   "Fast Single Image Super-Resolution via Self-Example Learning and Sparse Representation" [PDF]
   IEEE Trans. Multim. (TMM), vol. 16, no. 8, pp. 2178-2190, Dec 2014. (中科院一区TOP, CCF-B, JCR-Q1, IF 8.182)
5. Yan Zhao, Xuanlei Chen, Guanyu Ye, Fangda Guo, Kai Zheng, Xiaofang Zhou.
   "Task Allocation in Spatial Crowdsourcing: An Efficient Geographic Partition Framework"
   IEEE Trans. Knowl. Data Eng. (TKDE), DOI: 10.1109/TKDE.2024.3374086. (CCF-A, JCR-Q1, IF 9.235)
6. Jie Su, Sun Peng, Zhenyu Wen, Fangda Guo, Zhen Hong, Haoran Duan, Yawen Huang, Rajiv Ranjan.
   "A Semantic-Consistent Few-Shot Modulation Recognition Framework for IoT Applications"
   IEEE Trans. Neural Networks Learn. Syst. (TNNLS), under review. (中科院一区TOP, CCF-B, JCR-Q1, IF 10.4)

   International Conference

1. Fangda Guo*, Xuanpu Luo, Yanghao Liu, Yongqing Wang, Huawei Shen, Xueqi Cheng.
   "ESC: Edge-attributed Skyline Community Search in Large-scale Bipartite Graphs"
   50th International Conference on Very Large Databases (VLDB 2024), under review. (CCF-A)
2. Guoxin Chen, Fangda Guo*, Yongqing Wang, Yanghao Liu, Peiying Yu, Huawei Shen, Xueqi Cheng.
   "FCS-HGNN: Flexible Multi-type Community Search in Heterogeneous Information Networks"
   50th International Conference on Very Large Databases (VLDB 2024), under review. (CCF-A)
3. Yanghao Liu, Fangda Guo*, Bingbing Xu, Peng Bao, Huawei Shen, Xueqi Cheng.
   "SACH: Significant-attributed Community Search in Heterogeneous Information Networks" [PDF]
   40th IEEE International Conference on Data Engineering (ICDE 2024), accepted. (CCF-A)
4. Zhao Bai, Mingyue Wang, Fangda Guo*, Yu Guo, Chengjun Cai, Rongfang Bie, Xiaohua Jia.
   "SecMdp: Towards Privacy-Preserving Multimodal Deep Learning in End-Edge-Cloud"
   40th IEEE International Conference on Data Engineering (ICDE 2024), accepted. (CCF-A)
5. Haodi Wang, Tangyu Jiang, Yu Guo, Fangda Guo*, Rongfang Bie, Xiaohua Jia.
   "Label Noise Correction for Federated Learning: A Secure, Efficient and Reliable Realization"
   40th IEEE International Conference on Data Engineering (ICDE 2024), accepted. (CCF-A)
6. Di Yao, Jin Wang, Wenjie Chen, Fangda Guo, Peng Han, Jingping Bi.
   "Deep Dirichlet Process Mixture Model for Non-parametric Trajectory Clustering"
   40th IEEE International Conference on Data Engineering (ICDE 2024), accepted. (CCF-A)
7. Boshen Shi, Yongqing Wang, Fangda Guo*, Jiangli Shao, Huawei Shen, Xueqi Cheng.
   "BotTrans: A Graph Transfer Learning Approach for Detecting Social Bots"
   33rd International Joint Conference on Artificial Intelligence (IJCAI-24), under review. (CCF-A)
8. Boshen Shi, Yongqing Wang, Fangda Guo*, Bingbing Xu, Huawei Shen, Xueqi Cheng.
   "Graph Domain Adaptation: Challenges, Progress and Prospects"
   33rd International Joint Conference on Artificial Intelligence (IJCAI-24), under review. (CCF-A)
9. Taotao Li, Jie Su, Zhenyu Wen, Fangda Guo, Yiming Wu, Zhen Hong.
   "M2TA: Enabling Few-Shot Open-Set Incremental Learning via Multi-phase Meta Task Adaptation"
   18th European Conference on Computer Vision (ECCV 2024), under review. (CCF-B)
10. Di Yao†, Fangda Guo†, Zhenyu Wen, Yu Guo, Peng Cheng, Yangyuan He, Jingping Bi.
    "Trajectory Completion via Context-Guided Neural Filtering and Encoding"
    29th International Conference on Database Systems for Advanced Applications (DASFAA 2024), accepted. (CCF-B)
11. Zhao Bai, Fangda Guo*, Zhuoming Zhu, Yuxin Xi, Yu Guo, Rongfang Bie.
    "TimeGAE: A Multivariate Time-Series Generation Method via Graph Auto Encoder"
    29th International Conference on Database Systems for Advanced Applications (DASFAA 2024), accepted. (CCF-B)
12. Ye Zhou, Yu Guo, Fangda Guo*, Fangming Jing, Jiangrong Yang, Rongfang Bie.
    "FedDGCL: Federated Graph Neural Network with Dual Graph Contrast Learning for Multivariable Time Series Forecasting"
    29th International Conference on Database Systems for Advanced Applications (DASFAA 2024), accepted. (CCF-B)
13. Yifang Zhang, Mingyue Wang, Fangda Guo*, Xidi Qu, Yu Guo, Shengling Wang.
    "OblivChain: Enabling Oblivious Queries for Blockchain Light Clients with Malicious Security"
    29th International Conference on Database Systems for Advanced Applications (DASFAA 2024), accepted. (CCF-B)
14. Shuyang Wang, Hongcheng Xie, Yu Guo, Fangda Guo*, Fangming Jing, Rongfang Bie.
    "Privacy-Preserving and Efficient Model Aggregation in Edge-Assisted Federated Learning"
    29th International Conference on Database Systems for Advanced Applications (DASFAA 2024), accepted. (CCF-B)
15. Guoxin Chen, Yongqing Wang, Fangda Guo*, Qinglang Guo, Jiangli Shao, Huawei Shen, Xueqi Cheng.
    "Causality and Independence Enhancement for Biased Node Classification" [PDF]
    32nd ACM International Conference on Information and Knowledge Management (CIKM 2023), pp. 203-212, Birmingham, UK. (CCF-B)
16. Jiangli Shao, Yongqing Wang, Fangda Guo*, Boshen Shi, Huawei Shen, Xueqi Cheng.
    "TOAK: A Topology-oriented Attack Strategy for Degrading User Identity Linkage in Cross-network Learning" [PDF]
    32nd ACM International Conference on Information and Knowledge Management (CIKM 2023), pp. 2208-2218, Birmingham, UK. (CCF-B)
17. Jiangli Shao, Yongqing Wang, Fangda Guo*, Boshen Shi, Huawei Shen, Xueqi Cheng.
    "CANA: Causal-enhanced Social Network Alignment" [PDF]
    32nd ACM International Conference on Information and Knowledge Management (CIKM 2023), pp. 2219-2228, Birmingham, UK. (CCF-B)
18. Boshen Shi, Yongqing Wang, Fangda Guo*, Jiangli Shao, Huawei Shen, Xueqi Cheng.
    "Improving Graph Domain Adaptation with Network Hierarchy" [PDF]
    32nd ACM International Conference on Information and Knowledge Management (CIKM 2023), pp. 2249-2258, Birmingham, UK. (CCF-B)
19. Yifang Zhang, Mingyue Wang, Yu Guo, Fangda Guo*.
    "Towards Dynamic and Reliable Private Key Management for Hierarchical Access Structure in Decentralized Storage" [PDF]
    32nd ACM International Conference on Information and Knowledge Management (CIKM 2023), pp. 3371-3380, Birmingham, UK. (CCF-B)
20. Yuan Fu, Shuncheng Liu, Yuyang Xia, Fangda Guo, Kai Zheng.
    "Cross-Scenario Maneuver Decision with Adaptive Perception for Autonomous Driving" [PDF]
    32nd ACM International Conference on Information and Knowledge Management (CIKM 2023), pp. 535-544, Birmingham, UK. (CCF-B)
21. Yongfu Fan, Jin Chen, Yongquan Jiang, Defu Lian, Fangda Guo, Kai Zheng.
    "Batch-Mix Negative Sampling for Learning Recommendation Retrievers" [PDF]
    32nd ACM International Conference on Information and Knowledge Management (CIKM 2023), pp. 494-503, Birmingham, UK. (CCF-B)
22. Boshen Shi, Yongqing Wang, Fangda Guo*, Jiangli Shao, Huawei Shen, Xueqi Cheng.
    "OpenGDA: Graph Domain Adaptation Benchmark for Cross-network Learning" [PDF]
    32nd ACM International Conference on Information and Knowledge Management (CIKM 2023), pp. 5396-5400, Birmingham, UK. (CCF-B)
23. Nuoyan Lyu, Bingbing Xu, Fangda Guo*, Huawei Shen.
    "DCGNN: Dual-Channel Graph Neural Network for Social Bot Detection" [PDF]
    32nd ACM International Conference on Information and Knowledge Management (CIKM 2023), pp. 4155-4159, Birmingham, UK. (CCF-B)
24. Fangda Guo, Ye Yuan, Guoren Wang, Xiangguo Zhao, Hao Sun.
    "Multi-attributed Community Search in Road-social Networks" [PDF]
    37th IEEE International Conference on Data Engineering (ICDE 2021), pp. 109-120, Chania, Greece, Apr 19-22, 2021. (CCF-A)
25. Fangda Guo, Ye Yuan, Guoren Wang, Lei Chen, Xiang Lian, Zimeng Wang.
    "Cohesive Group Nearest Neighbor Queries Over Road-Social Networks" [PDF]
    35th IEEE International Conference on Data Engineering (ICDE 2019), pp. 434-445, Macau, China, Apr 8-11. (CCF-A)
26. Bo Yu, Fulong Xu, Fangda Guo, Sai Gao.
    "A data Processing Method for Fault Prediction of Industrial Pipeline Time Series Data" [PDF]
    4th IEEE International Conference on Computer and Communications (ICCC 2018), pp. 1779-1784, Chengdu, China, Dec 7-10.
27. Yanjie Song, Wei Zhang, Fangda Guo, Hai Yu, Zhiliang Zhu.
    "Compressive Sensing with Measurement Matrix Constructed by Cat Map" [PDF]
    International Symposium on Nonlinear Theory and its Applications (NOLTA 2014), pp. 389-392, Luzern, Switzerland, Sep 14-18.
28. Chen Chen, Libing Zhou, Jianzhong Guo, Wei Li, Hongjun Su, Fangda Guo.
    "Gabor-Filtering-Based Completed Local Binary Patterns for Land-Use Scene Classification" [PDF]
    IEEE International Conference on Multimedia Big Data (BigMM 2015), pp 324-329, Beijing, China, Apr 20-22.
    

   Chinese Journal

1. Feng Liu, Sai Gao, Bihui Yu, Fangda Guo.
   "Relation Classification Based on Multi-Head Attention and Bidirectional Long Short-Term Memory Networks"
   Computer Systems & Applications, vol. 28, no. 6, pp. 118-124, Jun 2019. (CCF-C)
2. Feng Liu, Zhaopeng Wang, Bo Yu, Fangda Guo.
   "IoT Application Service Platform Based on Message Middleware and MongoDB"
   Computer Systems & Applications, vol. 28, no. 5, pp. 90-94, May 2019. (CCF-C)
3. Yubao Wang, Shiyu Wang, Beibei Li, Fangda Guo.
   "Time Optimal Trajectory Planning Algorithm for Industrial Robots with Improved Particle Swarm Optimization"
   Journal of Chinese Computer Systems, vol. 39, no. 8, pp. 1878-1881, Aug 2018. (CCF-B)

Patents

1. Tao Ren, Zheng Fang, Xia Li, Fangda Guo.
   "红外式多点交互电子白板系统及白板投影标定方法"
   Patent NO.: ZL201210376112.8
2. Hao Sun, Ye Yuan, Fangda Guo.
   "一种基于多维属性得分的 top-j 社区搜索方法及装置"
   Patent NO.: CN113221022A
3. Software Copyright
   "红外式多点交互电子白板系统"
   Register NO.: 2013SR069763

Projects

1. 大规模属性异质图的社区发现研究，青年科学基金项目，2024.1-2026.12，30万，主持
2. 跨域信息网络的群体测绘研究，中国科学院特别研究助理资助项目，2021.11-2023.11，80万，主持
3. 面向大规模时序图的社区发现研究，中国博士后科学基金面上资助，2022.9-2024.9，8万，主持
4. 认知系统表征建模与调控机理研究，战略先导，20223.11-2024.10，39万，执行负责
5. 面向XXX的认知理解关键技术研究，国家重点研发计划课题，2022.8-2024.7，593万，骨干
6. 面向非集风险主体的隐性知识建模与分析方法研究，国家重点研发计划（子课题），80万，骨干
7. 数字人形象展示技术，X工程，2022.6-2023.12，500万，执行负责
8. 面向XXX场景的社会域建模技术，X工程，2022.4-2023.12，240万，骨干
9. 基于XXX分析系统，国家计算机网络与信息安全管理中心，2022.6-2024.6，参与
10. 大图数据管理与分析的基础理论与关键技术研究，国家自然科学基金重点项目，参与
11. 应用驱动的大图数据建模理论与算法研究，国家自然科学基金重点项目，参与
12. 面向社会计算的众包数据管理与分析技术研究，国家自然科学基金海外及港澳学者合作研究基金，参与
13. 批流融合大数据计算系统，国家重点研发计划课题，参与
14. 基于动态异构图语义分析的知识图谱存储和检索关键技术研究，国家重点研发计划课题，参与

Honors

1. 优秀博士学位论文、优秀硕士学位论文
2. 国家留学基金资助
3. 全国大学生创新实验计划国家级优秀
4. 全国挑战杯省级特等奖、全国创业计划竞赛省级一等奖
5. 百万青年创业计划全国总决赛三十强
6. Android应用开发挑战赛国家级优秀奖
7. 华为奖学金、优秀研究生奖学金、优秀学生奖学金
8. 校年级会主席、基础学院交流部部长、三好研究生、优秀学生干部/标兵、优秀毕业生干部

Talks

1. 中国人工智能学会（CAAI）— 全国智能技术与服务学术论坛，June 2019
2. ICDE 2019 — Graph Data Management 1, April 2019
3. ICDE 2021 — Graphs 3: Social Networks, April 2021
4. 讲座报告：中国科学院计算所、北京理工大学、爱丁堡大学、西北工业大学、帕维亚大学等

Peer review & Memberships

1. JKW专办主任
2. PC Member: CIKM 2022, AAAI 2023, ICDE 2023 Industry, CIKM 2023, IEEE DSC 2023, CIKM 2024, BigData 2024, etc.
3. (External) Reviewer: TKDE, WWW Journal, VLDB, ICDE, KDD, SIGIR, Frontiers of Computer Science, Journal of Data and Information Quality, etc.
4. IEEE Member, 中国计算机学会, 中国人工智能学会, 中国中文信息学会

Student Guidance

1. Ph.D.: Yanghao Liu, Boshen Shi, Jiangli Shao (UCAS)
2. Masters: Xuanpu Luo, Cheng Yu, Guoxin Chen (UCAS); Nuoyan Lyu (BUPT); Jiutai Jia (BJTU); Yirui Tan (BJUT); Zimeng Wang, Hao Sun, Siqi Sun (NEU)
3. Undergraduates: Jiajun Xu (BNU); Jinlei Chen, Yuhan Liu (NEU)
4. Provincial Talent Plan students: 2