| Inf-VAE: A variational autoencoder framework to integrate homophily and influence in diffusion prediction A Sankar, X Zhang, A Krishnan, J Han Proceedings of the 13th international conference on web search and data …, 2020 | 65 | 2020 |
| Meta-GNN: Metagraph neural network for semi-supervised learning in attributed heterogeneous information networks A Sankar, X Zhang, KCC Chang Proceedings of the 2019 IEEE/ACM International Conference on Advances in …, 2019 | 64 | 2019 |
| Nettaxo: Automated topic taxonomy construction from text-rich network J Shang, X Zhang, L Liu, S Li, J Han Proceedings of the web conference 2020, 1908-1919, 2020 | 58 | 2020 |
| TwHIN-BERT: A Socially-Enriched Pre-trained Language Model for Multilingual Tweet Representations at Twitter X Zhang, Y Malkov, O Florez, S Park, B McWilliams, J Han, A El-Kishky arXiv preprint arXiv:2209.07562, 2022 | 56 | 2022 |
| Motif-based convolutional neural network on graphs A Sankar, X Zhang, KCC Chang arXiv preprint arXiv:1711.05697, 2017 | 46 | 2017 |
| Meta: Metadata-empowered weak supervision for text classification D Mekala, X Zhang, J Shang Proceedings of the 2020 Conference on Empirical Methods in Natural Language …, 2020 | 36 | 2020 |
| Patton: Language model pretraining on text-rich networks B Jin, W Zhang, Y Zhang, Y Meng, X Zhang, Q Zhu, J Han arXiv preprint arXiv:2305.12268, 2023 | 22 | 2023 |
| Oa-mine: Open-world attribute mining for e-commerce products with weak supervision X Zhang, C Zhang, X Li, XL Dong, J Shang, C Faloutsos, J Han Proceedings of the ACM Web Conference 2022, 3153-3161, 2022 | 20 | 2022 |
| Minimally-supervised structure-rich text categorization via learning on text-rich networks X Zhang, C Zhang, XL Dong, J Shang, J Han Proceedings of the Web Conference 2021, 3258-3268, 2021 | 15 | 2021 |
| Simulating online social response: a stimulus/response perspective H Shao, T Abdelzaher, J Han, M Jiang, Y Mao, Y Meng, W Qiu, D Sun, ... 2021 Winter Simulation Conference (WSC), 1-12, 2021 | 3 | 2021 |
| Navigating Alignment for Non-identical Client Class Sets: A Label Name-Anchored Federated Learning Framework J Zhang, X Zhang, X Zhang, D Hong, RK Gupta, J Shang Proceedings of the 29th ACM SIGKDD Conference on Knowledge Discovery and …, 2023 | 1 | 2023 |
| DemoMotif: Demographic Inference from Sparse Records of Shopping Transactions based on Motif Patterns J Zhang, X Zhang, D Hong, RK Gupta, J Shang | | 2021 |
Jiawei HanAbel Bliss Professor of Computer Science, University of IllinoisVerified email at cs.uiuc.edu
