| Adaptive Universal Generalized PageRank Graph Neural Network E Chien, J Peng, P Li, O Milenkovic International Conference on Learning Representations 2021., 2020 | 110 | 2020 |
| 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 | 52 | 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 | 32 | 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 | 23 | 2017 |
| 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 | 20 | 2019 |
| 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 | 18 | 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 | 14 | 2018 |
| 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 | 7 | 2019 |
| 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 | 5 | 2021 |
| 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 | 4 | 2021 |
| Linear classifiers in product space forms P Tabaghi, E Chien, C Pan, J Peng, O Milenković arXiv preprint arXiv:2102.10204, 2021 | 4* | 2021 |
| Active learning in the geometric block model E Chien, AM Tulino, J Llorca Proceedings of the AAAI Conference on Artificial Intelligence 2020, 2019 | 4 | 2019 |
| Landing probabilities of random walks for seed-set expansion in hypergraphs E Chien, P Li, O Milenkovic IEEE Information Theory Workshop (ITW) 2021, 2019 | 4 | 2019 |
| Small-sample estimation of the mutational support and distribution of SARS-CoV-2 V Rana, E Chien, J Peng, O Milenkovic IEEE/ACM Transactions on Computational Biology and Bioinformatics, 2022 | 3* | 2022 |
| 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 | 1 | 2021 |
| Support Estimation with Sampling Artifacts and Errors E Chien, O Milenkovic, A Nedich IEEE International Symposium on Information Theory 2021, 2020 | 1 | 2020 |
| Regularized weighted Chebyshev approximations for support estimation I Chien | 1 | 2019 |
| Certified Graph Unlearning E Chien, C Pan, O Milenkovic arXiv preprint arXiv:2206.09140, 2022 | | 2022 |
| HyperAid: Denoising in hyperbolic spaces for tree-fitting and hierarchical clustering E Chien, P Tabaghi, O Milenkovic To appear in KDD 2022, 2022 | | 2022 |
| Provably Accurate and Scalable Linear Classifiers in Hyperbolic Spaces C Pan, E Chien, P Tabaghi, J Peng, O Milenkovic arXiv preprint arXiv:2203.03730, 2022 | | 2022 |
Olgica MilenkovicUniversity of IllinoisVerified email at illinois.edu
