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Fangda Guo

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affiliation: Institute of Computing Technology, Chinese Academy of Sciences, China
affiliation (Ph.D.): Northeastern University, Shenyang, China

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2020 – today

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2024
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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): 4943-4955 (2024)
[c23]
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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. CIKM 2024: 207-217
[c22]
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Shiyuan Xu, Yibo Cao, Xue Chen, Yu Guo, Yuer Yang, Fangda Guo, Siu-Ming Yiu:
Post-Quantum Searchable Encryption Supporting User-Authorization for Outsourced Data Management. CIKM 2024: 2702-2711
[c21]
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Di Yao, Fangda Guo, Zhenyu Wen, Yu Guo, Peng Cheng, Yangyuan He, Jingping Bi:
Trajectory Completion via Context-Guided Neural Filtering and Encoding. DASFAA (1) 2024: 3-19
[c20]
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Yifang Zhang, Mingyue Wang, Fangda Guo, Xidi Qu, Yu Guo, Shengling Wang:
OblivChain: Enabling Oblivious Queries for Blockchain Light Clients with Malicious Security. DASFAA (4) 2024: 3-19
[c19]
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Zhao Bai, Fangda Guo, Yuxin Xi, Zhuoming Zhu, Yu Guo, Rongfang Bie:
TimeGAE: A Multivariate Time-Series Generation Method via Graph Auto Encoder. DASFAA (1) 2024: 103-118
[c18]
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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. DASFAA (1) 2024: 393-408
[c17]
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Shuyang Wang, Hongcheng Xie, Yu Guo, Fangda Guo, Fangming Jing, Rongfang Bie:
Privacy-Preserving and Efficient Model Aggregation in Edge-Assisted Federated Learning. DASFAA (1) 2024: 511-521
[c16]
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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: 1659-1670
[c15]
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Yanghao Liu, Fangda Guo, Bingbing Xu, Peng Bao, Huawei Shen, Xueqi Cheng:
SACH: Significant-Attributed Community Search in Heterogeneous Information Networks. ICDE 2024: 3283-3296
[c14]
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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: 3600-3612
[c13]
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Di Yao, Jin Wang, Wenjie Chen, Fangda Guo, Peng Han, Jingping Bi:
Deep Dirichlet Process Mixture Model for Non-parametric Trajectory Clustering. ICDE 2024: 4449-4462
[i9]
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  - journals/corr/abs-2401-12895
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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 abs/2401.12895 (2024)
[i8]
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  - journals/corr/abs-2402-00904
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Boshen Shi, Yongqing Wang, Fangda Guo, Bingbing Xu, Huawei Shen, Xueqi Cheng:
Graph Domain Adaptation: Challenges, Progress and Prospects. CoRR abs/2402.00904 (2024)
[i7]
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  - journals/corr/abs-2406-05343
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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 abs/2406.05343 (2024)
[i6]
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  - journals/corr/abs-2410-06617
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Guoxin Chen, Zhong Zhang, Xin Cong, Fangda Guo, Yesai Wu, Yankai Lin, Wenzheng Feng, Yasheng Wang:
Learning Evolving Tools for Large Language Models. CoRR abs/2410.06617 (2024)
2023
[c12]
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Guoxin Chen, Yongqing Wang, Fangda Guo, Qinglang Guo, Jiangli Shao, Huawei Shen, Xueqi Cheng:
Causality and Independence Enhancement for Biased Node Classification. CIKM 2023: 203-212
[c11]
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Yongfu Fan, Jin Chen, Yongquan Jiang, Defu Lian, Fangda Guo, Kai Zheng:
Batch-Mix Negative Sampling for Learning Recommendation Retrievers. CIKM 2023: 494-503
[c10]
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Yuan Fu, Shuncheng Liu, Yuyang Xia, Fangda Guo, Kai Zheng:
Cross-Scenario Maneuver Decision with Adaptive Perception for Autonomous Driving. CIKM 2023: 535-544
[c9]
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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: 2208-2218
[c8]
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Jiangli Shao, Yongqing Wang, Fangda Guo, Boshen Shi, Huawei Shen, Xueqi Cheng:
CANA: Causal-enhanced Social Network Alignment. CIKM 2023: 2219-2228
[c7]
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Boshen Shi, Yongqing Wang, Fangda Guo, Jiangli Shao, Huawei Shen, Xueqi Cheng:
Improving Graph Domain Adaptation with Network Hierarchy. CIKM 2023: 2249-2258
[c6]
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Yifang Zhang, Mingyue Wang, Yu Guo, Fangda Guo:
Towards Dynamic and Reliable Private Key Management for Hierarchical Access Structure in Decentralized Storage. CIKM 2023: 3371-3380
[c5]
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Nuoyan Lyu, Bingbing Xu, Fangda Guo, Huawei Shen:
DCGNN: Dual-Channel Graph Neural Network for Social Bot Detection. CIKM 2023: 4155-4159
[c4]
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Boshen Shi, Yongqing Wang, Fangda Guo, Jiangli Shao, Huawei Shen, Xueqi Cheng:
OpenGDA: Graph Domain Adaptation Benchmark for Cross-network Learning. CIKM 2023: 5396-5400
[i5]
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  - journals/corr/abs-2307-11341
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Boshen Shi, Yongqing Wang, Fangda Guo, Jiangli Shao, Huawei Shen, Xueqi Cheng:
OpenGDA: Graph Domain Adaptation Benchmark for Cross-network Learning. CoRR abs/2307.11341 (2023)
[i4]
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  - journals/corr/abs-2308-13244
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Yanghao Liu, Fangda Guo, Bingbing Xu, Peng Bao, Huawei Shen, Xueqi Cheng:
Significant-attributed Community Search in Heterogeneous Information Networks. CoRR abs/2308.13244 (2023)
[i3]
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  - journals/corr/abs-2310-09586
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Guoxin Chen, Yongqing Wang, Fangda Guo, Qinglang Guo, Jiangli Shao, Huawei Shen, Xueqi Cheng:
Causality and Independence Enhancement for Biased Node Classification. CoRR abs/2310.09586 (2023)
[i2]
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  - journals/corr/abs-2311-08919
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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 abs/2311.08919 (2023)
2021
[j4]
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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): 3520-3536 (2021)
[c3]
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Fangda Guo, Ye Yuan, Guoren Wang, Xiangguo Zhao, Hao Sun:
Multi-attributed Community Search in Road-social Networks. ICDE 2021: 109-120
[i1]
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  - journals/corr/abs-2101-09668
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Fangda Guo, Ye Yuan, Guoren Wang, Xiangguo Zhao, Hao Sun:
Multi-attributed Community Search in Road-social Networks. CoRR abs/2101.09668 (2021)

2010 – 2019

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2019
[c2]
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Fangda Guo, Ye Yuan, Guoren Wang, Lei Chen, Xiang Lian, Zimeng Wang:
Cohesive Group Nearest Neighbor Queries Over Road-Social Networks. ICDE 2019: 434-445
2018
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Yu Zhang, Ye Yuan, Fangda Guo, Yishu Wang, Guoren Wang:
Improving the multimodal probabilistic semantic model by ELM classifiers. J. Frankl. Inst. 355(4): 1967-1990 (2018)
[j2]
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Ying Wang, Zhiliang Zhu, Bo Yang, Fangda Guo, Hai Yu:
Using reliability risk analysis to prioritize test cases. J. Syst. Softw. 139: 14-31 (2018)
2015
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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: 324-329
2014
[j1]
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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): 2178-2190 (2014)

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