Eli Chien, Mufei Li, Anthony Aportela, Kerr Ding, Shuyi Jia, Supriyo Maji, Zhongyuan Zhao, Javier Duarte, Victor Fung, Cong Hao, Yunan Luo, Olgica Milenkovic, David Pan, Santiago Segarra, Pan Li, “Opportunities and challenges of graph neural networks in electrical engineering,” Nature Reviews Electrical Engineering, 2024
Rongzhe Wei, Eleonora Kreačić, Haoyu Wang, Haoteng Yin, Eli Chien, Vamsi K Potluru, Pan Li, “On the inherent privacy properties of discrete denoising diffusion models,” Transactions on Machine Learning Research, 2024
I Chien, Chung-Yi Lin, I-Hsiang Wang, “On the Minimax Misclassification Ratio of Hypergraph Community Detection,” Transactions on Information Theory, 2019
Conference & proceeding papers:
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,” International Conference on Machine Learning, 2025
Eli Chien, Pan Li, “Convergent Privacy Loss of Noisy-SGD without Convexity and Smoothness,” International Conference on Learning Representation, 2025
Haoteng Yin, Rongzhe Wei, Eli Chien, Pan Li, “Privately Learning from Graphs with Applications in Large Language Model Fine-tuning,” Conference on Language Modeling, 2025
Mufei Li, Viraj Shitole, Eli Chien, Changhai Man, Zhaodong Wang, Srinivas, Ying Zhang, Tushar Krishna, Pan Li, “LayerDAG: A Layerwise Autoregressive Diffusion Model for Directed Acyclic Graph Generation,” International Conference on Learning Representation, 2025
Eli Chien, Haoyu Wang, Ziang Chen, Pan Li, “Langevin Unlearning: A New Perspective of Noisy Gradient Descent for Machine Unlearning,” Neural Information Processing Systems, 2024
Eli Chien, Haoyu Wang, Ziang Chen, Pan Li, “Certified Machine Unlearning via Noisy Stochastic Gradient Descent,” Neural Information Processing Systems, 2024
Jin Yao, Eli Chien, Minxin Du, Xinyao Niu, Tianhao Wang, Zezhou Cheng, Xiang Yue, “Machine Unlearning of Pre-trained Large Language Models,” Association for Computational Linguistics, 2024
Zheyuan Liu, Guangyao Dou, Yijun Tian, Chunhui Zhang, Eli Chien, Ziwei Zhu, “Breaking the Trilemma of Privacy, Utility, Efficiency via Controllable Machine Unlearning,” The Web Conference, 2024
Eli Chien, Wei-Ning Chen, Chao Pan, Pan Li, Ayfer Özgür, Olgica Milenkovic, “Differentially Private Decoupled Graph Convolutions for Multigranular Topology Protection,” Neural Information Processing Systems, 2023
Eli Chien, Chao Pan, Olgica Milenkovic, “Efficient Model Updates for Approximate Unlearning of Graph-Structured Data,” International Conference on Learning Representation, 2023
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,” International Conference on Machine Learning, 2023
Chao Pan, Eli Chien, Olgica Milenkovic, “Unlearning Graph Classifiers in the Limited Training Data Regime,” The Web Conference, 2023
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,” International Conference on Machine Learning, 2023
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,” International Conference on Learning Representations, 2022
Eli Chien, Jianhao Peng, Chao Pan, Olgica Milenkovic, “You are AllSet: A Multiset Function Framework for Hypergraph Neural Networks,” International Conference on Learning Representations, 2022
Eli Chien, Puoya Tabaghi, Olgica Milenkovic, “HyperAid: Denoising in Hyperbolic Spaces for Tree-Fitting and Hierarchical Clustering,” International Conference on Knowledge Discovery and Data Mining, 2022
Eli Chien, Jianhao Peng, Pan Li, Olgica Milenkovic, “Adaptive Universal Generalized PageRank Graph Neural Network,” International Conference on Learning Representations, 2021
Eli Chien, Chao Pan, Puoya Tabaghi, Jianhao Peng, Olgica Milenkovic, “Scalable and Provably Accurate Classification in Poincaré Balls,” International Conference on Data Mining, 2021
Eli Chien, Olgica Milenkovic, Angelia Nedich, “Support Estimation with Sampling Artifacts and Errors,” International Symposium on Information Theory, 2021
Anuththari Gamage, Eli Chien, Jianhao Peng, Olgica Milenkovic, “Multi-MotifGAN (MMGAN): Motif-targeted Graph Generation and Prediction,” International Conference on Acoustics, Speech and Signal Processing, 2020
Eli Chien, Antonia Maria Tulino, Jaime Llorca, “Active learning in the geometric block model,” The Association for the Advancement of Artificial Intelligence, 2020
Pan Li , Eli Chien, Olgica Milenkovic, “Optimizing Generalized PageRank Methods for Seed-Expansion Community Detection,” Neural Information Processing Systems, 2019
I Chien, Chung-Yi Lin, I-Hsiang Wang, “Community detection in hypergraphs: Optimal statistical limit and efficient algorithms,” International Conference on Artificial Intelligence and Statistics, 2018
I (Eli) Chien, Chao Pan, Olgica Milenkovic, “Query K-means Clustering and the Double Dixie Cup Problem,” Neural Information Processing Systems, 2018
Chung-Yi Lin, I (Eli) Chien, I-Hsiang Wang, “On the fundamental statistical limit of community detection in random hypergraphs,” International Symposium on Information Theory, 2017