| AsyLink: user identity linkage from text to geo-location via sparse labeled data J Shao, Y Wang, H Gao, B Shi, H Shen, X Cheng Neurocomputing 515, 174-184, 2023 | 8 | 2023 |
| Improving graph domain adaptation with network hierarchy B Shi, Y Wang, F Guo, J Shao, H Shen, X Cheng Proceedings of the 32nd ACM International Conference on Information and …, 2023 | 5 | 2023 |
| OpenGDA: Graph Domain Adaptation Benchmark for Cross-network Learning B Shi, Y Wang, F Guo, J Shao, H Shen, X Cheng Proceedings of the 32nd ACM International Conference on Information and …, 2023 | 3 | 2023 |
| Node classification across networks via category-level domain adaptive network embedding B Shi, Y Wang, J Shao, H Shen, Y Li, X Cheng Knowledge and Information Systems 65 (12), 5479-5502, 2023 | 2 | 2023 |
| TOAK: A Topology-oriented Attack Strategy for Degrading User Identity Linkage in Cross-network Learning J Shao, Y Wang, F Guo, B Shi, H Shen, X Cheng Proceedings of the 32nd ACM International Conference on Information and …, 2023 | 2 | 2023 |
| Adversarial for social privacy: A poisoning strategy to degrade user identity linkage J Shao, Y Wang, B Shi, H Gao, H Shen, X Cheng arXiv preprint arXiv:2209.00269, 2022 | 2 | 2022 |
| Graph Domain Adaptation: Challenges, Progress and Prospects B Shi, Y Wang, F Guo, B Xu, H Shen, X Cheng arXiv preprint arXiv:2402.00904, 2024 | 1 | 2024 |
| CANA: Causal-enhanced Social Network Alignment J Shao, Y Wang, F Guo, B Shi, H Shen, X Cheng Proceedings of the 32nd ACM International Conference on Information and …, 2023 | 1 | 2023 |
| InDNI: An Infection Time Independent Method for Diffusion Network Inference G Chen, Y Wang, J Shao, B Shi, H Shen, X Cheng China Conference on Information Retrieval, 63-75, 2022 | 1 | 2022 |
| Aligning Networks by Maximizing Topological Consistency Between Neighborhoods B Shi, Y Wang, H Shen, X Cheng CCF Conference on Big Data, 216-232, 2022 | | 2022 |
Jiangli ShaoData Intelligence System Research Center, Institute of Computing Technology, Chinese Academy of SciencesVerified email at ict.ac.cn
