Generative Causal Explanations for Graph Neural Networks W Lin, H Lan, B Li 2021 International Conference on Machine Learning (ICML), 2021 | 137 | 2021 |
Personalized Federated Learning on Non-IID Data via Group-Based Meta-Learning L Yang, J Huang, W Lin, J Cao 2022 ACM Transactions on Knowledge Discovery from Data (TKDD), 2022 | 50 | 2022 |
Shoestring: Graph-Based Semi-Supervised Classification With Severely Limited Labeled Data W Lin, Z Gao, B Li 2020 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR …, 2020 | 48 | 2020 |
OrphicX: A Causality-Inspired Latent Variable Model for Interpreting Graph Neural Networks W Lin, H Lan, H Wang, B Li 2022 IEEE Conference on Computer Vision and Pattern Recognition (CVPR Oral 2022), 2022 | 47 | 2022 |
Guardian: Evaluating Trust in Online Social Networks with Graph Convolutional Networks W Lin, Z Gao, B Li 2020 IEEE International Conference on Computer Communications (INFOCOM), 2020 | 42 | 2020 |
Towards Private Learning on Decentralized Graphs with Local Differential Privacy W Lin, B Li, C Wang 2022 IEEE Transactions on Information Forensics & Security (TIFS) 17, 2936-2946, 2022 | 37 | 2022 |
Adversarial Attacks on Link Prediction Algorithms Based on Graph Neural Networks W Lin, S Ji, B Li 2020 ACM ASIA Conference on Computer and Communications Security (ACM ASIACCS), 2020 | 35 | 2020 |
Selfpromer: Self-Prompt Dehazing Transformers with Depth-Consistency C Wang, J Pan, W Lin, J Dong, W Wang, XM Wu Proceedings of the AAAI Conference on Artificial Intelligence 38 (6), 5327-5335, 2024 | 14 | 2024 |
Medley: Predicting Social Trust in Time-Varying Online Social Networks W Lin, B Li 2021 IEEE International Conference on Computer Communications (INFOCOM), 2021 | 14 | 2021 |
Privacy-Preserving Similarity Search with Efficient Updates in Distributed Key-Value Stores W Lin, H Cui, B Li, C Wang IEEE Transactions on Parallel and Distributed Systems (TPDS) 32 (05), 1072-1084, 2021 | 13 | 2021 |
Status-Aware Signed Heterogeneous Network Embedding with Graph Neural Networks W Lin, B Li 2024 IEEE Transactions on Neural Networks and Learning Systems (TNNLS) 35 (4 …, 2024 | 12 | 2024 |
On Practical Differentially Private and Byzantine-Resilient Federated Learning Z Xiang, TW Wang, W Lin, D Wang International Conference on Management of Data (SIGMOD 2023), 2023 | 12 | 2023 |
A^2 S^2-GNN: Rigging GNN-Based Social Status by Adversarial Attacks in Signed Social Networks X Yin, W Lin, K Sun, C Wei, Y Chen IEEE Transactions on Information Forensics and Security (TIFS), 2022 | 10 | 2022 |
Improving Accuracy and Convergence in Group-Based Federated Learning on Non-IID Data Z He, L Yang, W Lin, W Wu IEEE Transactions on Network Science and Engineering (TNSE), 2022 | 9 | 2022 |
Robust Graph Meta-Learning via Manifold Calibration with Proxy Subgraphs Z Wang, L Cao, W Lin, M Jiang, K Tan 2023 Conference on Association for the Advancement of Artificial …, 2023 | 7 | 2023 |
Hierarchical Deep Reinforcement Learning for Multi-Robot Cooperation in Partially Observable Environment Z Liang, J Cao, W Lin, J Chen, H Xu 2021 IEEE Third International Conference on Cognitive Machine Intelligence …, 2021 | 7 | 2021 |
SoftGPT: Learn Goal-Oriented Soft Object Manipulation Skills by Generative Pre-Trained Heterogeneous Graph Transformer J Liu, Z Li, W Lin, S Calinon, KC Tan, F Chen 2023 IEEE/RSJ International Conference on Intelligent Robots and Systems …, 2023 | 5 | 2023 |
Multi-Client Searchable Encryption over Distributed Key-Value Stores W Lin, X Yuan, B Li, C Wang 2017 IEEE International Conference on Smart Computing (SMARTCOMP), 1-7, 2017 | 3 | 2017 |
Diffusion-Driven Domain Adaptation for Generating 3D Molecules H Hong, W Lin, KC Tan arXiv preprint arXiv:2404.00962, 2024 | 1 | 2024 |
Generating Diagnostic and Actionable Explanations for Fair Graph Neural Networks Z Wang, Q Zeng, W Lin*, M Jiang, KC Tan Proceedings of the AAAI Conference on Artificial Intelligence 38 (19), 21690 …, 2024 | 1 | 2024 |