Articles with public access mandates - Eli ChienLearn more
Available somewhere: 17
Adaptive Universal Generalized PageRank Graph Neural Network
E Chien, J Peng, P Li, O Milenkovic
International Conference on Learning Representations 2021., 2020
Mandates: US National Science Foundation
Efficient Model Updates for Approximate Unlearning of Graph-Structured Data
E Chien, C Pan, O Milenkovic
International Conference on Learning Representations, 2023
Mandates: US National Science Foundation
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
Mandates: US National Science Foundation
Unlearning graph classifiers with limited data resources
C Pan*, E Chien*, O Milenkovic
Proceedings of the ACM Web Conference 2023, 716-726, 2023
Mandates: US National Science Foundation
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
Mandates: US National Science Foundation
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
Mandates: US National Science Foundation, US National Institutes of Health
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
Mandates: US National Science Foundation
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
Mandates: US National Science Foundation
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
Mandates: US National Science Foundation
Active learning in the geometric block model
E Chien, AM Tulino, J Llorca
Proceedings of the AAAI Conference on Artificial Intelligence 2020, 2019
Mandates: US National Science Foundation
Langevin Unlearning: A New Perspective of Noisy Gradient Descent for Machine Unlearning
E Chien, H Wang, Z Chen, P Li
Advances in Neural Information Processing Systems 2024 (Spotlight), 2024
Mandates: US National Science Foundation
Landing probabilities of random walks for seed-set expansion in hypergraphs
E Chien, P Li, O Milenkovic
IEEE Information Theory Workshop (ITW) 2021, 2019
Mandates: US National Science Foundation
HyperAid: Denoising in hyperbolic spaces for tree-fitting and hierarchical clustering
E Chien, P Tabaghi, O Milenkovic
Proceedings of the 28th ACM SIGKDD Conference on Knowledge Discovery and …, 2022
Mandates: US National Science Foundation
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 20 (1 …, 2022
Mandates: US National Science Foundation
Support Estimation with Sampling Artifacts and Errors
E Chien, O Milenkovic, A Nedich
IEEE International Symposium on Information Theory 2021, 2020
Mandates: US National Science Foundation
Provably accurate and scalable linear classifiers in hyperbolic spaces
C Pan, E Chien, P Tabaghi, J Peng, O Milenkovic
Knowledge and Information Systems 65 (4), 1817-1850, 2023
Mandates: US National Science Foundation
Multifaceted roles of cohesin in regulating transcriptional loops
M Kim, P Wang, PA Clow, IE Chien, X Wang, J Peng, H Chai, X Liu, B Lee, ...
bioRxiv, 2024
Mandates: Human Frontier Science Program
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