I (Eli) Chien
I (Eli) Chien
UIUC, PhD Student
Verified email at illinois.edu - Homepage
Title
Cited by
Cited by
Year
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
422018
Adaptive Universal Generalized PageRank Graph Neural Network
E Chien, J Peng, P Li, O Milenkovic
International Conference on Learning Representations 2021., 2020
252020
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
192019
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
192019
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
182017
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
122018
HS2 : Active learning over hypergraphs with pointwise and pairwise queries
I Chien, H Zhou, P Li
Proceedings of the 22nd International Conference on Artificial Intelligenceá…, 2018
112018
Active learning in the geometric block model
E Chien, AM Tulino, J Llorca
Proceedings of the AAAI Conference on Artificial Intelligence 2020, 2019
42019
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 andá…, 2019
42019
Landing probabilities of random walks for seed-set expansion in hypergraphs
E Chien, P Li, O Milenkovic
IEEE Information Theory Workshop (ITW) 2021, 2019
42019
Linear classifiers in mixed constant curvature spaces
P Tabaghi, E Chien, C Pan, O Milenković
arXiv preprint arXiv:2102.10204, 2021
22021
How fast does the SARS-Cov-2 virus really mutate in heterogeneous populations?
V Rana, E Chien, J Peng, O Milenkovic
medRxiv, 2020
22020
Regularized weighted chebyshev approximations for support estimation
I Chien
22019
Highly Scalable and Provably Accurate Classification in Poincare Balls
E Chien, C Pan, P Tabaghi, O Milenkovic
To appear in ICDM 2021., 2021
2021
You are AllSet: A Multiset Function Framework for Hypergraph Neural Networks
E Chien, C Pan, J Peng, O Milenkovic
arXiv preprint arXiv:2106.13264, 2021
2021
Support Estimation with Sampling Artifacts and Errors
E Chien, O Milenkovic, A Nedich
IEEE International Symposium on Information Theory 2021, 2020
2020
Small-sample estimation of the mutational support and the distribution of mutations in the SARS-Cov-2 genome
V Rana, E Chien, J Peng, O Milenkovic
medRxiv, 2020
2020
Supplementary material-Small-sample estimation of the mutational support and the distribution of mutations in the SARS-Cov-2 genome
V Rana, E Chien, J Peng, O Milenkovic
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Articles 1–18