| 2025 | ICLR | Convergent Privacy Loss of Noisy-SGD without Convexity and Smoothness. | Eli Chien, Pan Li |
| 2025 | ICLR | LayerDAG: A Layerwise Autoregressive Diffusion Model for Directed Acyclic Graph Generation. | Mufei Li, Viraj Shitole, Eli Chien, Changhai Man, Zhaodong Wang, Srinivas, Ying Zhang, Tushar Krishna, Pan Li |
| 2025 | ICML | Underestimated Privacy Risks for Minority Populations in Large Language Model Unlearning. | Rongzhe Wei, Mufei Li, Mohsen Ghassemi, Eleonora Kreacic, Yifan Li, Xiang Yue, Bo Li, Vamsi K. Potluru, Pan Li, Eli Chien |
| 2024 | ACL | Machine Unlearning of Pre-trained Large Language Models. | Jin Yao, Eli Chien, Minxin Du, Xinyao Niu, Tianhao Wang, Zezhou Cheng, Xiang Yue |
| 2024 | WWW | Breaking the Trilemma of Privacy, Utility, and Efficiency via Controllable Machine Unlearning. | Zheyuan Liu, Guangyao Dou, Eli Chien, Chunhui Zhang, Yijun Tian, Ziwei Zhu |
| 2023 | ICLR | Efficient Model Updates for Approximate Unlearning of Graph-Structured Data. | Eli Chien, Chao Pan, Olgica Milenkovic |
| 2023 | ICML | PINA: Leveraging Side Information in eXtreme Multi-label Classification via Predicted Instance Neighborhood Aggregation. | Eli Chien, Jiong Zhang, Cho-Jui Hsieh, Jyun-Yu Jiang, Wei-Cheng Chang, Olgica Milenkovic, Hsiang-Fu Yu |
| 2023 | ICML | Representer Point Selection for Explaining Regularized High-dimensional Models. | Che-Ping Tsai, Jiong Zhang, Hsiang-Fu Yu, Eli Chien, Cho-Jui Hsieh, Pradeep Kumar Ravikumar |
| 2023 | WWW | Unlearning Graph Classifiers with Limited Data Resources. | Chao Pan, Eli Chien, Olgica Milenkovic |
| 2022 | ICLR | Node Feature Extraction by Self-Supervised Multi-scale Neighborhood Prediction. | Eli Chien, Wei-Cheng Chang, Cho-Jui Hsieh, Hsiang-Fu Yu, Jiong Zhang, Olgica Milenkovic, Inderjit S. Dhillon |
| 2022 | ICLR | You are AllSet: A Multiset Function Framework for Hypergraph Neural Networks. | Eli Chien, Chao Pan, Jianhao Peng, Olgica Milenkovic |
| 2022 | KDD | HyperAid: Denoising in Hyperbolic Spaces for Tree-fitting and Hierarchical Clustering. | Eli Chien, Puoya Tabaghi, Olgica Milenkovic |
| 2021 | ICDM | Highly Scalable and Provably Accurate Classification in Poincar Balls. | Eli Chien, Chao Pan, Puoya Tabaghi, Olgica Milenkovic |
| 2021 | ICLR | Adaptive Universal Generalized PageRank Graph Neural Network. | Eli Chien, Jianhao Peng, Pan Li, Olgica Milenkovic |
| 2021 | ISIT | Support Estimation with Sampling Artifacts and Errors. | Eli Chien, Olgica Milenkovic, Angelia Nedich |
| 2021 | ITW | Landing Probabilities of Random Walks for Seed-Set Expansion in Hypergraphs. | Eli Chien, Pan Li, Olgica Milenkovic |
| 2020 | AAAI | Active Learning in the Geometric Block Model. | Eli Chien, Antonia M. Tulino, Jaime Llorca |
| 2020 | ICASSP | Multi-MotifGAN (MMGAN): Motif-Targeted Graph Generation And Prediction. | Anuththari Gamage, Eli Chien, Jianhao Peng, Olgica Milenkovic |