Fangda Guo

Publication Activity (10 Years)

Years Active: 2014-2024
Publications (10 Years): 27

Top Topics

Heterogeneous Information Networks

Bipartite Graph

Domain Adaptation

Top Venues

IEEE Trans. Knowl. Data Eng.

Publications

Di Yao, Jin Wang, Wenjie Chen, Fangda Guo, Peng Han, Jingping Bi
Deep Dirichlet Process Mixture Model for Non-parametric Trajectory Clustering. ICDE (2024)
Haodi Wang, Tangyu Jiang, Yu Guo, Fangda Guo, Rongfang Bie, Xiaohua Jia
Label Noise Correction for Federated Learning: A Secure, Efficient and Reliable Realization. ICDE (2024)
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. 36 (9) (2024)
Boshen Shi, Yongqing Wang, Fangda Guo, Bingbing Xu, Huawei Shen, Xueqi Cheng
Graph Domain Adaptation: Challenges, Progress and Prospects. CoRR (2024)
Fangda Guo, Xuanpu Luo, Yanghao Liu, Guoxin Chen, Yongqing Wang, Huawei Shen, Xueqi Cheng
ESC: Edge-attributed Skyline Community Search in Large-scale Bipartite Graphs. CoRR (2024)
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. ICDE (2024)
Wei Song, Yadong Li, Jianhua Xu, Guowei Wu, Lingfeng Ming, Kexin Yi, Weihua Luo, Houyi Li, Yi Du, Fangda Guo, Kaicheng Yu
M3GIA: A Cognition Inspired Multilingual and Multimodal General Intelligence Ability Benchmark. CoRR (2024)
Yanghao Liu, Fangda Guo, Bingbing Xu, Peng Bao, Huawei Shen, Xueqi Cheng
SACH: Significant-Attributed Community Search in Heterogeneous Information Networks. ICDE (2024)
Yifang Zhang, Mingyue Wang, Yu Guo, Fangda Guo
Towards Dynamic and Reliable Private Key Management for Hierarchical Access Structure in Decentralized Storage. CIKM (2023)
Nuoyan Lyu, Bingbing Xu, Fangda Guo, Huawei Shen
DCGNN: Dual-Channel Graph Neural Network for Social Bot Detection. CIKM (2023)
Guoxin Chen, Yongqing Wang, Fangda Guo, Qinglang Guo, Jiangli Shao, Huawei Shen, Xueqi Cheng
Causality and Independence Enhancement for Biased Node Classification. CoRR (2023)
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. CoRR (2023)
Yuan Fu, Shuncheng Liu, Yuyang Xia, Fangda Guo, Kai Zheng
Cross-Scenario Maneuver Decision with Adaptive Perception for Autonomous Driving. CIKM (2023)
Boshen Shi, Yongqing Wang, Fangda Guo, Jiangli Shao, Huawei Shen, Xueqi Cheng
Improving Graph Domain Adaptation with Network Hierarchy. CIKM (2023)
Boshen Shi, Yongqing Wang, Fangda Guo, Jiangli Shao, Huawei Shen, Xueqi Cheng
OpenGDA: Graph Domain Adaptation Benchmark for Cross-network Learning. CIKM (2023)
Yanghao Liu, Fangda Guo, Bingbing Xu, Peng Bao, Huawei Shen, Xueqi Cheng
Significant-attributed Community Search in Heterogeneous Information Networks. CoRR (2023)
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. CIKM (2023)
Yongfu Fan, Jin Chen, Yongquan Jiang, Defu Lian, Fangda Guo, Kai Zheng
Batch-Mix Negative Sampling for Learning Recommendation Retrievers. CIKM (2023)
Jiangli Shao, Yongqing Wang, Fangda Guo, Boshen Shi, Huawei Shen, Xueqi Cheng
CANA: Causal-enhanced Social Network Alignment. CIKM (2023)
Boshen Shi, Yongqing Wang, Fangda Guo, Jiangli Shao, Huawei Shen, Xueqi Cheng
OpenGDA: Graph Domain Adaptation Benchmark for Cross-network Learning. CoRR (2023)
Guoxin Chen, Yongqing Wang, Fangda Guo, Qinglang Guo, Jiangli Shao, Huawei Shen, Xueqi Cheng
Causality and Independence Enhancement for Biased Node Classification. CIKM (2023)
Fangda Guo, Ye Yuan, Guoren Wang, Lei Chen, Xiang Lian, Zimeng Wang
Cohesive Group Nearest Neighbor Queries on Road-Social Networks under Multi-Criteria. IEEE Trans. Knowl. Data Eng. 33 (11) (2021)
Fangda Guo, Ye Yuan, Guoren Wang, Xiangguo Zhao, Hao Sun
Multi-attributed Community Search in Road-social Networks. CoRR (2021)
Fangda Guo, Ye Yuan, Guoren Wang, Xiangguo Zhao, Hao Sun
Multi-attributed Community Search in Road-social Networks. ICDE (2021)
Fangda Guo, Ye Yuan, Guoren Wang, Lei Chen, Xiang Lian, Zimeng Wang
Cohesive Group Nearest Neighbor Queries Over Road-Social Networks. ICDE (2019)
Ying Wang, Zhiliang Zhu, Bo Yang, Fangda Guo, Hai Yu
Using reliability risk analysis to prioritize test cases. J. Syst. Softw. 139 (2018)
Yu Zhang, Ye Yuan, Fangda Guo, Yishu Wang, Guoren Wang
Improving the multimodal probabilistic semantic model by ELM classifiers. J. Frankl. Inst. 355 (4) (2018)
Chen Chen, Libing Zhou, Jianzhong Guo, Wei Li, Hongjun Su, Fangda Guo
Gabor-Filtering-Based Completed Local Binary Patterns for Land-Use Scene Classification. BigMM (2015)
Zhiliang Zhu, Fangda Guo, Hai Yu, Chen Chen
Fast Single Image Super-Resolution via Self-Example Learning and Sparse Representation. IEEE Trans. Multim. 16 (8) (2014)