Fast Single Image Super-Resolution via Self-Example Learning and Sparse Representation. - Zhiliang Zhu 001; Fangda Guo; Hai Yu 001; Chen Chen 001 (IEEE Trans. Multim., 2014)

Gabor-Filtering-Based Completed Local Binary Patterns for Land-Use Scene Classification. - Chen Chen 001; Libing Zhou; Jianzhong Guo; Wei Li 032; Hongjun Su; Fangda Guo (BigMM, 2015)

Improving the multimodal probabilistic semantic model by ELM classifiers. - Yu Zhang 125; Ye Yuan 001; Fangda Guo; Yishu Wang 001; Guoren Wang (J. Frankl. Inst., 2018)

Using reliability risk analysis to prioritize test cases. - Ying Wang 038; Zhiliang Zhu 001; Bo Yang; Fangda Guo; Hai Yu 001 (J. Syst. Softw., 2018)

Cohesive Group Nearest Neighbor Queries Over Road-Social Networks. - Fangda Guo; Ye Yuan 001; Guoren Wang; Lei Chen 002; Xiang Lian 001; Zimeng Wang (ICDE, 2019)

Multi-attributed Community Search in Road-social Networks. - Fangda Guo; Ye Yuan 001; Guoren Wang; Xiangguo Zhao; Hao Sun (ICDE, 2021)

Cohesive Group Nearest Neighbor Queries on Road-Social Networks under Multi-Criteria. - Fangda Guo; Ye Yuan 001; Guoren Wang; Lei Chen 002; Xiang Lian 001; Zimeng Wang (IEEE Trans. Knowl. Data Eng., 2021)

Causality and Independence Enhancement for Biased Node Classification. - Guoxin Chen; Yongqing Wang 005; Fangda Guo; Qinglang Guo; Jiangli Shao; Huawei Shen; Xueqi Cheng (CIKM, 2023)

Batch-Mix Negative Sampling for Learning Recommendation Retrievers. - Yongfu Fan; Jin Chen 008; Yongquan Jiang; Defu Lian; Fangda Guo; Kai Zheng 001 (CIKM, 2023)

Cross-Scenario Maneuver Decision with Adaptive Perception for Autonomous Driving. - Yuan Fu; Shuncheng Liu 001; Yuyang Xia; Fangda Guo; Kai Zheng 001 (CIKM, 2023)

DCGNN: Dual-Channel Graph Neural Network for Social Bot Detection. - Nuoyan Lyu; Bingbing Xu 001; Fangda Guo; Huawei Shen (CIKM, 2023)

TOAK: A Topology-oriented Attack Strategy for Degrading User Identity Linkage in Cross-network Learning. - Jiangli Shao; Yongqing Wang 005; Fangda Guo; Boshen Shi; Huawei Shen; Xueqi Cheng (CIKM, 2023)

CANA: Causal-enhanced Social Network Alignment. - Jiangli Shao; Yongqing Wang 005; Fangda Guo; Boshen Shi; Huawei Shen; Xueqi Cheng (CIKM, 2023)

Improving Graph Domain Adaptation with Network Hierarchy. - Boshen Shi; Yongqing Wang 005; Fangda Guo; Jiangli Shao; Huawei Shen; Xueqi Cheng (CIKM, 2023)

OpenGDA: Graph Domain Adaptation Benchmark for Cross-network Learning. - Boshen Shi; Yongqing Wang 005; Fangda Guo; Jiangli Shao; Huawei Shen; Xueqi Cheng (CIKM, 2023)

Towards Dynamic and Reliable Private Key Management for Hierarchical Access Structure in Decentralized Storage. - Yifang Zhang; Mingyue Wang; Yu Guo 003; Fangda Guo (CIKM, 2023)

Significant-attributed Community Search in Heterogeneous Information Networks. - Yanghao Liu; Fangda Guo; Bingbing Xu 001; Peng Bao; Huawei Shen; Xueqi Cheng (CoRR, 2023)

GNN-Based Persistent K-core Community Search in Temporal Graphs. - Zongli Jiang; Yirui Tan; Guoxin Chen; Fangda Guo; Jinli Zhang; Xiaolu Bai (IEEE Big Data, 2024)

FCS-HGNN: Flexible Multi-type Community Search in Heterogeneous Information Networks. - Guoxin Chen; Fangda Guo; Yongqing Wang 005; Yanghao Liu; Peiying Yu; Huawei Shen; Xueqi Cheng (CIKM, 2024)

Post-Quantum Searchable Encryption Supporting User-Authorization for Outsourced Data Management. - Shiyuan Xu; Yibo Cao; Xue Chen; Yu Guo 003; Yuer Yang; Fangda Guo; Siu-Ming Yiu (CIKM, 2024)

TimeGAE: A Multivariate Time-Series Generation Method via Graph Auto Encoder. - Zhao Bai; Fangda Guo; Yuxin Xi; Zhuoming Zhu; Yu Guo 003; Rongfang Bie (DASFAA (1), 2024)

Privacy-Preserving and Efficient Model Aggregation in Edge-Assisted Federated Learning. - Shuyang Wang; Hongcheng Xie; Yu Guo 003; Fangda Guo; Fangming Jing; Rongfang Bie (DASFAA (1), 2024)

Trajectory Completion via Context-Guided Neural Filtering and Encoding. - Di Yao 001; Fangda Guo; Zhenyu Wen; Yu Guo 003; Peng Cheng; Yangyuan He; Jingping Bi (DASFAA (1), 2024)

OblivChain: Enabling Oblivious Queries for Blockchain Light Clients with Malicious Security. - Yifang Zhang; Mingyue Wang; Fangda Guo; Xidi Qu; Yu Guo 003; Shengling Wang 001 (DASFAA (4), 2024)

FedDGCL: Federated Graph Neural Network with Dual Graph Contrast Learning for Multivariable Time Series Forecasting. - Ye Zhou; Yu Guo 003; Fangda Guo; Fangming Jing; Jiangrong Yang; Rongfang Bie (DASFAA (1), 2024)

Deep Dirichlet Process Mixture Model for Non-parametric Trajectory Clustering. - Di Yao 001; Jin Wang 007; Wenjie Chen; Fangda Guo; Peng Han 005; Jingping Bi (ICDE, 2024)

SecMdp: Towards Privacy-Preserving Multimodal Deep Learning in End-Edge-Cloud. - Zhao Bai; Mingyue Wang; Fangda Guo; Yu Guo 003; Chengjun Cai; Rongfang Bie; Xiaohua Jia (ICDE, 2024)

SACH: Significant-Attributed Community Search in Heterogeneous Information Networks. - Yanghao Liu; Fangda Guo; Bingbing Xu 001; Peng Bao; Huawei Shen; Xueqi Cheng (ICDE, 2024)

Label Noise Correction for Federated Learning: A Secure, Efficient and Reliable Realization. - Haodi Wang; Tangyu Jiang; Yu Guo 003; Fangda Guo; Rongfang Bie; Xiaohua Jia (ICDE, 2024)

ESC: Edge-attributed Skyline Community Search in Large-scale Bipartite Graphs. - Fangda Guo; Xuanpu Luo; Yanghao Liu; Guoxin Chen; Yongqing Wang 005; Huawei Shen; Xueqi Cheng (CoRR, 2024)

Graph Domain Adaptation: Challenges, Progress and Prospects. - Boshen Shi; Yongqing Wang 005; Fangda Guo; Bingbing Xu 001; Huawei Shen; Xueqi Cheng (CoRR, 2024)

M3GIA: A Cognition Inspired Multilingual and Multimodal General Intelligence Ability Benchmark. - Wei Song; Yadong Li; Jianhua Xu; Guowei Wu; Lingfeng Ming; Kexin Yi; Weihua Luo; Houyi Li; Yi Du; Fangda Guo; Kaicheng Yu (CoRR, 2024)

Task Allocation in Spatial Crowdsourcing: An Efficient Geographic Partition Framework. - Yan Zhao 008; Xuanlei Chen; Guanyu Ye; Fangda Guo; Kai Zheng 001; Xiaofang Zhou 001 (IEEE Trans. Knowl. Data Eng., 2024)

Learning Evolving Tools for Large Language Models. - Guoxin Chen; Zhong Zhang; Xin Cong; Fangda Guo; Yesai Wu; Yankai Lin; Wenzheng Feng; Yasheng Wang (ICLR, 2025)

Domain Adaptation for Graph Representation Learning: Challenges, Progress, and Prospects. - Boshen Shi; Yongqing Wang 005; Fangda Guo; Bing-Bing Xu 001; Hua-Wei Shen; Xueqi Cheng (J. Comput. Sci. Technol., 2025)

A Semantic-Consistent Few-Shot Modulation Recognition Framework for IoT Applications. - Jie Su 001; Peng Sun; Yuting Jiang; Zhenyu Wen; Fangda Guo; Yiming Wu; Zhen Hong; Haoran Duan 001; Yawen Huang; Rajiv Ranjan 001; Yefeng Zheng 001 (IEEE Trans. Neural Networks Learn. Syst., 2025)

BotTrans: A Multi-Source Graph Domain Adaptation Approach for Social Bot Detection. - Boshen Shi; Yongqing Wang 005; Fangda Guo; Jiangli Shao; Huawei Shen; Xueqi Cheng (CoRR, 2025)