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I (Eli) Chien
I (Eli) Chien
UIUC, PhD Candidate
Verified email at illinois.edu - Homepage
Title
Cited by
Cited by
Year
Adaptive Universal Generalized PageRank Graph Neural Network
E Chien, J Peng, P Li, O Milenkovic
International Conference on Learning Representations 2021., 2020
1102020
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
522018
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
322019
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
232017
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
202019
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
182018
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
142018
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
72019
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
52021
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
42021
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
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
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
12021
Support Estimation with Sampling Artifacts and Errors
E Chien, O Milenkovic, A Nedich
IEEE International Symposium on Information Theory 2021, 2020
12020
Regularized weighted Chebyshev approximations for support estimation
I Chien
12019
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
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Articles 1–20