Cascade Dynamics Modeling with Attention-based Recurrent Neural Network. Y Wang, H Shen, S Liu, J Gao, X Cheng IJCAI 17, 2985-2991, 2017 | 120 | 2017 |
HetNERec: Heterogeneous network embedding based recommendation Z Zhao, X Zhang, H Zhou, C Li, M Gong, Y Wang Knowledge-based systems 204, 106218, 2020 | 74 | 2020 |
Learning user-specific latent influence and susceptibility from information cascades Y Wang, H Shen, S Liu, X Cheng Proceedings of the AAAI Conference on Artificial Intelligence 29 (1), 2015 | 49 | 2015 |
Truth Discovery by Claim and Source Embedding S Lyu, W Ouyang, W Yongqing, S Huawei, C Xueqi IEEE Transactions on Knowledge and Data Engineering, 2019 | 32 | 2019 |
What We Vote for? Answer Selection from User Expertise View in Community Question Answering S Lyu, Y Wang, W Ouyang, H Shen, X Cheng The World Wide Web Conference, 2019 | 26 | 2019 |
Learning binary hash codes for fast anchor link retrieval across networks Y Wang, H Shen, J Gao, X Cheng The World Wide Web Conference, 2019 | 25 | 2019 |
Marked temporal dynamics modeling based on recurrent neural network Y Wang, S Liu, H Shen, J Gao, X Cheng Advances in Knowledge Discovery and Data Mining: 21st Pacific-Asia …, 2017 | 15 | 2017 |
GCN-ALP: addressing matching collisions in anchor link prediction H Gao, Y Wang, S Lyu, H Shen, X Cheng 2020 IEEE International Conference on Knowledge Graph (ICKG), 412-419, 2020 | 8 | 2020 |
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 | 6 | 2023 |
UGCLink: user identity linkage by modeling user generated contents with knowledge distillation H Gao, Y Wang, J Shao, H Shen, X Cheng 2021 IEEE International Conference on Big Data (Big Data), 607-613, 2021 | 6 | 2021 |
Locate who you are: Matching geo-location to text for user identity linkage J Shao, Y Wang, H Gao, H Shen, Y Li, X Cheng Proceedings of the 30th ACM International Conference on Information …, 2021 | 6 | 2021 |
User Identity Linkage across Social Networks with the Enhancement of Knowledge Graph and Time Decay Function H Gao, Y Wang, J Shao, H Shen, X Cheng Entropy 24 (11), 1603, 2022 | 5 | 2022 |
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 | 3 | 2023 |
Causality and independence enhancement for biased node classification G Chen, Y Wang, F Guo, Q Guo, J Shao, H Shen, X Cheng Proceedings of the 32nd ACM International Conference on Information and …, 2023 | 3 | 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 |
Listwise approaches based on feature ranking discovery Y Wang, W Mao, D Zeng, F Xia Frontiers of Computer Science 6, 647-659, 2012 | 2 | 2012 |
Featurerank: A non-linear listwise approach with clustering and boosting Y Wang, W Mao 2010 IEEE Youth Conference on Information, Computing and Telecommunications …, 2010 | 2 | 2010 |
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 | 1 | 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 | 1 | 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 | 1 | 2023 |