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ORCIDEli Chien
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- affiliation: University of Illinois at Urbana Champaign, Department of Electrical and Computer Engineering, IL, USA
- affiliation: National Taiwan University, Department of Electrical Engineering, Taipei, Taiwan
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2020 – today
- 2024
[j5]Saurav Prakash, Jin Sima, Chao Pan, Eli Chien, Olgica Milenkovic:
Federated Classification in Hyperbolic Spaces via Secure Aggregation of Convex Hulls. Trans. Mach. Learn. Res. 2024 (2024)- [j4]Rongzhe Wei, Eleonora Kreacic, Haoyu Peter Wang, Haoteng Yin, Eli Chien, Vamsi K. Potluru, Pan Li:
On the Inherent Privacy Properties of Discrete Denoising Diffusion Models. Trans. Mach. Learn. Res. 2024 (2024) - [c24]Jin Yao, Eli Chien, Minxin Du, Xinyao Niu, Tianhao Wang, Zezhou Cheng, Xiang Yue:
Machine Unlearning of Pre-trained Large Language Models. ACL (1) 2024: 8403-8419 - [c23]Eli Chien, Haoyu Wang, Ziang Chen, Pan Li:
Certified Machine Unlearning via Noisy Stochastic Gradient Descent. NeurIPS 2024 - [c22]Eli Chien, Haoyu Wang, Ziang Chen, Pan Li:
Langevin Unlearning: A New Perspective of Noisy Gradient Descent for Machine Unlearning. NeurIPS 2024 - [c21]Rongzhe Wei, Eli Chien, Pan Li:
Differentially Private Graph Diffusion with Applications in Personalized PageRanks. NeurIPS 2024 - [c20]Zheyuan Liu
, Guangyao Dou, Eli Chien, Chunhui Zhang, Yijun Tian, Ziwei Zhu:
Breaking the Trilemma of Privacy, Utility, and Efficiency via Controllable Machine Unlearning. WWW 2024: 1260-1271 - [i32]Eli Chien, Haoyu Wang, Ziang Chen, Pan Li:
Langevin Unlearning: A New Perspective of Noisy Gradient Descent for Machine Unlearning. CoRR abs/2401.10371 (2024) - [i31]Jin Yao, Eli Chien, Minxin Du, Xinyao Niu, Tianhao Wang, Zezhou Cheng, Xiang Yue:
Machine Unlearning of Pre-trained Large Language Models. CoRR abs/2402.15159 (2024) - [i30]Eli Chien, Haoyu Wang, Ziang Chen, Pan Li:
Stochastic Gradient Langevin Unlearning. CoRR abs/2403.17105 (2024) - [i29]Rongzhe Wei, Eli Chien, Pan Li:
Differentially Private Graph Diffusion with Applications in Personalized PageRanks. CoRR abs/2407.00077 (2024) - [i28]Eli Chien, Pan Li:
Convergent Privacy Loss of Noisy-SGD without Convexity and Smoothness. CoRR abs/2410.01068 (2024) - [i27]Haoteng Yin, Rongzhe Wei, Eli Chien, Pan Li:
Privately Learning from Graphs with Applications in Fine-tuning Large Language Models. CoRR abs/2410.08299 (2024) - [i26]Mufei Li, Viraj Shitole, Eli Chien, Changhai Man, Zhaodong Wang, Srinivas Sridharan, Ying Zhang, Tushar Krishna, Pan Li:
LayerDAG: A Layerwise Autoregressive Diffusion Model for Directed Acyclic Graph Generation. CoRR abs/2411.02322 (2024) - [i25]Rongzhe Wei, Mufei Li, Mohsen Ghassemi, Eleonora Kreacic, Yifan Li, Xiang Yue, Bo Li, Vamsi K. Potluru, Pan Li, Eli Chien:
Underestimated Privacy Risks for Minority Populations in Large Language Model Unlearning. CoRR abs/2412.08559 (2024) - 2023
- [j3]Chao Pan, Eli Chien, Puoya Tabaghi, Jianhao Peng, Olgica Milenkovic:
Provably accurate and scalable linear classifiers in hyperbolic spaces. Knowl. Inf. Syst. 65(4): 1817-1850 (2023) - [j2]Vishal Rana, Eli Chien, Jianhao Peng, Olgica Milenkovic:
Small-Sample Estimation of the Mutational Support and Distribution of SARS-CoV-2. IEEE ACM Trans. Comput. Biol. Bioinform. 20(1): 668-682 (2023) - [c19]Eli Chien, Chao Pan, Olgica Milenkovic:
Efficient Model Updates for Approximate Unlearning of Graph-Structured Data. ICLR 2023 - [c18]Eli Chien, Jiong Zhang, Cho-Jui Hsieh, Jyun-Yu Jiang, Wei-Cheng Chang, Olgica Milenkovic, Hsiang-Fu Yu:
PINA: Leveraging Side Information in eXtreme Multi-label Classification via Predicted Instance Neighborhood Aggregation. ICML 2023: 5616-5630 - [c17]Che-Ping Tsai, Jiong Zhang, Hsiang-Fu Yu, Eli Chien, Cho-Jui Hsieh, Pradeep Kumar Ravikumar:
Representer Point Selection for Explaining Regularized High-dimensional Models. ICML 2023: 34469-34490 - [c16]Eli Chien, Wei-Ning Chen, Chao Pan, Pan Li, Ayfer Özgür, Olgica Milenkovic:
Differentially Private Decoupled Graph Convolutions for Multigranular Topology Protection. NeurIPS 2023 - [c15]Chao Pan, Eli Chien, Olgica Milenkovic:
Unlearning Graph Classifiers with Limited Data Resources. WWW 2023: 716-726 - [i24]Eli Chien, Jiong Zhang, Cho-Jui Hsieh, Jyun-Yu Jiang, Wei-Cheng Chang, Olgica Milenkovic, Hsiang-Fu Yu:
PINA: Leveraging Side Information in eXtreme Multi-label Classification via Predicted Instance Neighborhood Aggregation. CoRR abs/2305.12349 (2023) - [i23]Che-Ping Tsai, Jiong Zhang, Eli Chien, Hsiang-Fu Yu, Cho-Jui Hsieh, Pradeep Ravikumar:
Representer Point Selection for Explaining Regularized High-dimensional Models. CoRR abs/2305.20002 (2023) - [i22]Eli Chien, Wei-Ning Chen, Chao Pan, Pan Li, Ayfer Özgür, Olgica Milenkovic:
Differentially Private Decoupled Graph Convolutions for Multigranular Topology Protection. CoRR abs/2307.06422 (2023) - [i21]Saurav Prakash, Jin Sima, Chao Pan, Eli Chien, Olgica Milenkovic:
Federated Classification in Hyperbolic Spaces via Secure Aggregation of Convex Hulls. CoRR abs/2308.06895 (2023) - [i20]Rongzhe Wei, Eleonora Kreacic, Haoyu Wang, Haoteng Yin, Eli Chien, Vamsi K. Potluru, Pan Li:
On the Inherent Privacy Properties of Discrete Denoising Diffusion Models. CoRR abs/2310.15524 (2023) - [i19]Zheyuan Liu, Guangyao Dou, Yijun Tian, Chunhui Zhang, Eli Chien, Ziwei Zhu:
Breaking the Trilemma of Privacy, Utility, Efficiency via Controllable Machine Unlearning. CoRR abs/2310.18574 (2023) - 2022
- [c14]Eli Chien, Wei-Cheng Chang, Cho-Jui Hsieh, Hsiang-Fu Yu, Jiong Zhang, Olgica Milenkovic, Inderjit S. Dhillon:
Node Feature Extraction by Self-Supervised Multi-scale Neighborhood Prediction. ICLR 2022 - [c13]Eli Chien, Chao Pan, Jianhao Peng, Olgica Milenkovic:
You are AllSet: A Multiset Function Framework for Hypergraph Neural Networks. ICLR 2022 - [c12]Eli Chien, Puoya Tabaghi, Olgica Milenkovic:
HyperAid: Denoising in Hyperbolic Spaces for Tree-fitting and Hierarchical Clustering. KDD 2022: 201-211 - [i18]Chao Pan, Eli Chien, Puoya Tabaghi, Jianhao Peng, Olgica Milenkovic:
Provably Accurate and Scalable Linear Classifiers in Hyperbolic Spaces. CoRR abs/2203.03730 (2022) - [i17]Eli Chien, Puoya Tabaghi, Olgica Milenkovic:
HyperAid: Denoising in hyperbolic spaces for tree-fitting and hierarchical clustering. CoRR abs/2205.09721 (2022) - [i16]Eli Chien, Chao Pan, Olgica Milenkovic:
Certified Graph Unlearning. CoRR abs/2206.09140 (2022) - [i15]Chao Pan, Eli Chien, Olgica Milenkovic:
Unlearning Nonlinear Graph Classifiers in the Limited Training Data Regime. CoRR abs/2211.03216 (2022) - 2021
- [c11]Eli Chien, Chao Pan, Puoya Tabaghi, Olgica Milenkovic:
Highly Scalable and Provably Accurate Classification in Poincaré Balls. ICDM 2021: 61-70 - [c10]Eli Chien, Jianhao Peng, Pan Li, Olgica Milenkovic:
Adaptive Universal Generalized PageRank Graph Neural Network. ICLR 2021 - [c9]Eli Chien, Olgica Milenkovic, Angelia Nedich:
Support Estimation with Sampling Artifacts and Errors. ISIT 2021: 244-249 - [c8]Eli Chien, Pan Li, Olgica Milenkovic:
Landing Probabilities of Random Walks for Seed-Set Expansion in Hypergraphs. ITW 2021: 1-6 - [i14]Puoya Tabaghi, Eli Chien, Chao Pan, Olgica Milenkovic:
Linear Classifiers in Mixed Constant Curvature Spaces. CoRR abs/2102.10204 (2021) - [i13]Eli Chien, Chao Pan, Jianhao Peng, Olgica Milenkovic:
You are AllSet: A Multiset Function Framework for Hypergraph Neural Networks. CoRR abs/2106.13264 (2021) - [i12]Eli Chien, Chao Pan, Puoya Tabaghi, Olgica Milenkovic:
Highly Scalable and Provably Accurate Classification in Poincare Balls. CoRR abs/2109.03781 (2021) - [i11]Eli Chien, Wei-Cheng Chang, Cho-Jui Hsieh, Hsiang-Fu Yu, Jiong Zhang, Olgica Milenkovic, Inderjit S. Dhillon:
Node Feature Extraction by Self-Supervised Multi-scale Neighborhood Prediction. CoRR abs/2111.00064 (2021) - 2020
- [c7]Eli Chien, Antonia M. Tulino, Jaime Llorca:
Active Learning in the Geometric Block Model. AAAI 2020: 3641-3648 - [c6]Anuththari Gamage, Eli Chien, Jianhao Peng, Olgica Milenkovic:
Multi-MotifGAN (MMGAN): Motif-Targeted Graph Generation And Prediction. ICASSP 2020: 4182-4186 - [i10]Eli Chien, Jianhao Peng, Pan Li, Olgica Milenkovic:
Joint Adaptive Feature Smoothing and Topology Extraction via Generalized PageRank GNNs. CoRR abs/2006.07988 (2020) - [i9]Eli Chien, Olgica Milenkovic, Angelia Nedich:
Support Estimation with Sampling Artifacts and Errors. CoRR abs/2006.07999 (2020)
2010 – 2019
- 2019
- [j1]I Eli Chien, Chung-Yi Lin, I-Hsiang Wang:
On the Minimax Misclassification Ratio of Hypergraph Community Detection. IEEE Trans. Inf. Theory 65(12): 8095-8118 (2019) - [c5]I (Eli) Chien, Huozhi Zhou, Pan Li:
HS2: Active learning over hypergraphs with pointwise and pairwise queries. AISTATS 2019: 2466-2475 - [c4]Pan Li, I (Eli) Chien, Olgica Milenkovic:
Optimizing Generalized PageRank Methods for Seed-Expansion Community Detection. NeurIPS 2019: 11705-11716 - [i8]I (Eli) Chien, Olgica Milenkovic:
Support Estimation via Regularized and Weighted Chebyshev Approximations. CoRR abs/1901.07506 (2019) - [i7]Pan Li, I (Eli) Chien, Olgica Milenkovic:
Optimizing Generalized PageRank Methods for Seed-Expansion Community Detection. CoRR abs/1905.10881 (2019) - [i6]Eli Chien, Pan Li, Olgica Milenkovic:
Landing Probabilities of Random Walks for Seed-Set Expansion in Hypergraphs. CoRR abs/1910.09040 (2019) - [i5]Anuththari Gamage, Eli Chien, Jianhao Peng, Olgica Milenkovic:
Multi-MotifGAN (MMGAN): Motif-targeted Graph Generation and Prediction. CoRR abs/1911.05469 (2019) - [i4]Eli Chien, Antonia Maria Tulino, Jaime Llorca:
Active learning in the geometric block model. CoRR abs/1912.06570 (2019) - 2018
- [c3]I (Eli) Chien, Chung-Yi Lin, I-Hsiang Wang:
Community Detection in Hypergraphs: Optimal Statistical Limit and Efficient Algorithms. AISTATS 2018: 871-879 - [c2]I (Eli) Chien, Chao Pan, Olgica Milenkovic:
Query K-means Clustering and the Double Dixie Cup Problem. NeurIPS 2018: 6650-6659 - [i3]I (Eli) Chien, Chung-Yi Lin, I-Hsiang Wang:
On the Minimax Misclassification Ratio of Hypergraph Community Detection. CoRR abs/1802.00926 (2018) - [i2]I (Eli) Chien, Chao Pan, Olgica Milenkovic:
Query K-means Clustering and the Double Dixie Cup Problem. CoRR abs/1806.05938 (2018) - [i1]I (Eli) Chien, Huozhi Zhou, Pan Li:
HS2: Active Learning over Hypergraphs. CoRR abs/1811.11549 (2018) - 2017
- [c1]Chung-Yi Lin, I (Eli) Chien, I-Hsiang Wang:
On the fundamental statistical limit of community detection in random hypergraphs. ISIT 2017: 2178-2182
Coauthor Index
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