| Adaptive Universal Generalized PageRank Graph Neural Network E Chien, J Peng, P Li, O Milenkovic International Conference on Learning Representations 2021., 2020 | 670 | 2020 |
| You are AllSet: A Multiset Function Framework for Hypergraph Neural Networks E Chien, C Pan, J Peng, O Milenkovic International Conference on Learning Representations 2022, 2021 | 106 | 2021 |
| Node Feature Extraction by Self-Supervised Multi-scale Neighborhood Prediction E Chien, WC Chang, CJ Hsieh, HF Yu, J Zhang, O Milenkovic, IS Dhillon International Conference on Learning Representations 2022, 2021 | 100 | 2021 |
| Community detection in hypergraphs: Optimal statistical limit and efficient algorithms I Chien, CY Lin, IH Wang International Conference on Artificial Intelligence and Statistics, 871-879, 2018 | 82 | 2018 |
| Optimizing Generalized PageRank Methods for Seed-Expansion Community Detection P Li*, E Chien*, O Milenkovic Advances in Neural Information Processing Systems 32, 11705--11716, 2019 | 67 | 2019 |
| Efficient Model Updates for Approximate Unlearning of Graph-Structured Data E Chien, C Pan, O Milenkovic International Conference on Learning Representations, 2023 | 57* | 2023 |
| On the minimax misclassification ratio of hypergraph community detection IE Chien, CY Lin, IH Wang IEEE Transactions on Information Theory 65 (12), 8095-8118, 2019 | 39 | 2019 |
| On the fundamental statistical limit of community detection in random hypergraphs CY Lin, IE Chien, IH Wang 2017 IEEE International Symposium on Information Theory (ISIT), 2178-2182, 2017 | 28 | 2017 |
| Query K-means Clustering and the Double Dixie Cup Problem I Chien, C Pan, O Milenkovic Advances in Neural Information Processing Systems, 6650--6659, 2018 | 25 | 2018 |
| HS2 : Active learning over hypergraphs with pointwise and pairwise queries I Chien, H Zhou, P Li Proceedings of the 22nd International Conference on Artificial Intelligence …, 2018 | 22 | 2018 |
| Unlearning graph classifiers with limited data resources C Pan, E Chien, O Milenkovic Proceedings of the ACM Web Conference 2023, 716-726, 2023 | 20* | 2023 |
| Multi-MotifGAN (MMGAN): Motif-targeted Graph Generation and Prediction A Gamage, E Chien, J Peng, O Milenkovic ICASSP 2020 - 2020 IEEE International Conference on Acoustics, Speech and …, 2019 | 17 | 2019 |
| Machine Unlearning of Pre-trained Large Language Models J Yao, E Chien, M Du, X Niu, T Wang, Z Cheng, X Yue Association for Computational Linguistics (ACL 2024 Main), 2024 | 11* | 2024 |
| Breaking the Trilemma of Privacy, Utility, Efficiency via Controllable Machine Unlearning Z Liu, G Dou, Y Tian, C Zhang, E Chien, Z Zhu Proceedings of the ACM Web Conference 2024, 2023 | 11 | 2023 |
| Highly Scalable and Provably Accurate Classification in Poincare Balls E Chien, C Pan, P Tabaghi, O Milenkovic IEEE International Conference on Data Mining (ICDM), 2021, 2021 | 11 | 2021 |
| Active learning in the geometric block model E Chien, AM Tulino, J Llorca Proceedings of the AAAI Conference on Artificial Intelligence 2020, 2019 | 10 | 2019 |
| Linear classifiers in product space forms P Tabaghi, C Pan, E Chien, J Peng, O Milenkovic arXiv preprint arXiv:2102.10204, 2021 | 8* | 2021 |
| Landing probabilities of random walks for seed-set expansion in hypergraphs E Chien, P Li, O Milenkovic IEEE Information Theory Workshop (ITW) 2021, 2019 | 8 | 2019 |
| Differentially Private Decoupled Graph Convolutions for Multigranular Topology Protection E Chien, WN Chen, C Pan, P Li, A Özgür, O Milenkovic Advances in Neural Information Processing Systems 2023, 2023 | 6 | 2023 |
| PINA: Leveraging Side Information in eXtreme Multi-label Classification via Predicted Instance Neighborhood Aggregation E Chien, J Zhang, CJ Hsieh, JY Jiang, WC Chang, O Milenkovic, HF Yu International Conference on Machine Learning 2023., 2023 | 6 | 2023 |
Olgica MilenkovicUniversity of Illinois在 illinois.edu 的电子邮件经过验证
