| Revisiting over-smoothing in deep GCNs C Yang, R Wang, S Yao, S Liu, T Abdelzaher arXiv preprint arXiv:2003.13663, 2020 | 128 | 2020 |
| Acekg: A large-scale knowledge graph for academic data mining R Wang, Y Yan, J Wang, Y Jia, Y Zhang, W Zhang, X Wang Proceedings of the 27th ACM international conference on information and …, 2018 | 125 | 2018 |
| Semi-supervised hypergraph node classification on hypergraph line expansion C Yang, R Wang, S Yao, T Abdelzaher Proceedings of the 31st ACM International Conference on Information …, 2022 | 74 | 2022 |
| Contrastive self-supervised representation learning for sensing signals from the time-frequency perspective D Liu, T Wang, S Liu, R Wang, S Yao, T Abdelzaher 2021 International Conference on Computer Communications and Networks (ICCCN …, 2021 | 50 | 2021 |
| Dydiff-vae: A dynamic variational framework for information diffusion prediction R Wang, Z Huang, S Liu, H Shao, D Liu, J Li, T Wang, D Sun, S Yao, ... Proceedings of the 44th International ACM SIGIR Conference on Research and …, 2021 | 45 | 2021 |
| Handling Missing Sensors in Topology-Aware IoT Applications with Gated Graph Neural Network S LIU, S YAO, Y HUANG, D LIU, H SHAO, Y ZHAO, J LI, T WANG, ... UbiComp 2020, 2020 | 40 | 2020 |
| Learning to sample and aggregate: Few-shot reasoning over temporal knowledge graphs R Wang, Z Li, D Sun, S Liu, J Li, B Yin, T Abdelzaher Advances in Neural Information Processing Systems (NeurIPS'22), 2022 | 37 | 2022 |
| Author Name Disambiguation on Heterogeneous Information Network with Adversarial Representation Learning H Wang, R Wang, C Wen, S Li, Y Jia, W Zhang, X Wang Proceedings of the AAAI Conference on Artificial Intelligence 34 (01), 238-245, 2020 | 36 | 2020 |
| On Polarization Dynamics in the Age of Information Overload C Xu, J Li, D Sun, R Wang, T Abdelzaher, J Graham, B Szymanski | 30* | 2021 |
| Focal: Contrastive learning for multimodal time-series sensing signals in factorized orthogonal latent space S Liu, T Kimura, D Liu, R Wang, J Li, S Diggavi, M Srivastava, ... Advances in Neural Information Processing Systems 36, 47309-47338, 2023 | 27 | 2023 |
| RETE: Retrieval-Enhanced Temporal Event Forecasting on Unified Query Product Evolutionary Graph R Wang, Z Li, D Zhang, Q Yin, T Zhao, B Yin, T Abdelzaher The Web Conference 2022, 2022 | 26 | 2022 |
| Unsupervised belief representation learning with information-theoretic variational graph auto-encoders J Li, H Shao, D Sun, R Wang, Y Yan, J Li, S Liu, H Tong, T Abdelzaher Proceedings of the 45th International ACM SIGIR Conference on Research and …, 2022 | 24 | 2022 |
| Reconciling competing sampling strategies of network embedding Y Yan, B Jing, L Liu, R Wang, J Li, T Abdelzaher, H Tong Advances in Neural Information Processing Systems 36, 6844-6861, 2023 | 23 | 2023 |
| Multimodal motivation modelling and computing towards motivationally intelligent E-learning systems R Wang, L Chen, A Ayesh CCF Transactions on Pervasive Computing and Interaction 5 (1), 64-81, 2023 | 19 | 2023 |
| Misinformation detection and adversarial attack cost analysis in directional social networks H Shao, S Yao, A Jing, S Liu, D Liu, T Wang, J Li, C Yang, R Wang, ... 2020 29th International Conference on Computer Communications and Networks …, 2020 | 18 | 2020 |
| Mutually-paced knowledge distillation for cross-lingual temporal knowledge graph reasoning R Wang, Z Li, J Yang, T Cao, C Zhang, B Yin, T Abdelzaher Proceedings of the ACM Web Conference 2023, 2621-2632, 2023 | 16 | 2023 |
| Hierarchical overlapping belief estimation by structured matrix factorization C Yang, J Li, R Wang, S Yao, H Shao, D Liu, S Liu, T Wang, ... 2020 IEEE/ACM International Conference on Advances in Social Networks …, 2020 | 16 | 2020 |
| Influence Pathway Discovery on Social Media X Liu*, R Wang*, D Sun*, J Li, C Youn, Y Lyu, J Zhan, D Wu, X Xu, M Liu, ... arXiv preprint arXiv:2309.16071, 2023 | 14 | 2023 |
| Freqmae: Frequency-aware masked autoencoder for multi-modal iot sensing D Kara, T Kimura, S Liu, J Li, D Liu, T Wang, R Wang, Y Chen, Y Hu, ... Proceedings of the ACM Web Conference 2024, 2795-2806, 2024 | 9 | 2024 |
| Noisy positive-unlabeled learning with self-training for speculative knowledge graph reasoning R Wang, B Li, Y Lu, D Sun, J Li, Y Yan, S Liu, H Tong, TF Abdelzaher arXiv preprint arXiv:2306.07512, 2023 | 9 | 2023 |
Tarek AbdelzaherUniversity of Illinoisยืนยันอีเมลแล้วที่ illinois.edu