| 2025 | ICLR | Addax: Utilizing Zeroth-Order Gradients to Improve Memory Efficiency and Performance of SGD for Fine-Tuning Language Models. | Zeman Li, Xinwei Zhang, Peilin Zhong, Yuan Deng, Meisam Razaviyayn, Vahab Mirrokni |
| 2025 | ICML | Differentially Private Space-Efficient Algorithms for Counting Distinct Elements in the Turnstile Model. | Rachel Cummings, Alessandro Epasto, Jieming Mao, Tamalika Mukherjee, Tingting Ou, Peilin Zhong |
| 2025 | ICML | Retraining with Predicted Hard Labels Provably Increases Model Accuracy. | Rudrajit Das, Inderjit S. Dhillon, Alessandro Epasto, Adel Javanmard, Jieming Mao, Vahab Mirrokni, Sujay Sanghavi, Peilin Zhong |
| 2025 | ICML | Maximum Coverage in Turnstile Streams with Applications to Fingerprinting Measures. | Alina Ene, Alessandro Epasto, Vahab Mirrokni, Hoai-An Nguyen, Huy L. Nguyen, David P. Woodruff, Peilin Zhong |
| 2025 | KDD | Differentially Private Synthetic Data Release for Topics API Outputs. | Travis Dick, Alessandro Epasto, Adel Javanmard, Josh Karlin, Andrs Muoz Medina, Vahab Mirrokni, Sergei Vassilvitskii, Peilin Zhong |
| 2025 | SODA | Massively Parallel Minimum Spanning Tree in General Metric Spaces. | Amir Azarmehr, Soheil Behnezhad, Rajesh Jayaram, Jakub Lacki, Vahab Mirrokni, Peilin Zhong |
| 2024 | ICML | Perturb-and-Project: Differentially Private Similarities and Marginals. | Vincent Cohen-Addad, Tommaso d'Orsi, Alessandro Epasto, Vahab Mirrokni, Peilin Zhong |
| 2024 | ICML | High-Dimensional Geometric Streaming for Nearly Low Rank Data. | Hossein Esfandiari, Praneeth Kacham, Vahab Mirrokni, David P. Woodruff, Peilin Zhong |
| 2024 | ICML | PolySketchFormer: Fast Transformers via Sketching Polynomial Kernels. | Praneeth Kacham, Vahab Mirrokni, Peilin Zhong |
| 2024 | SODA | Parallel Approximate Maximum Flows in Near-Linear Work and Polylogarithmic Depth. | Arpit Agarwal, Sanjeev Khanna, Huan Li, Prathamesh Patil, Chen Wang, Nathan White, Peilin Zhong |
| 2024 | SODA | Massively Parallel Algorithms for High-Dimensional Euclidean Minimum Spanning Tree. | Rajesh Jayaram, Vahab Mirrokni, Shyam Narayanan, Peilin Zhong |
| 2024 | STOC | Optimal Communication Bounds for Classic Functions in the Coordinator Model and Beyond. | Hossein Esfandiari, Praneeth Kacham, Vahab Mirrokni, David P. Woodruff, Peilin Zhong |
| 2023 | SPAA | Massively Parallel Tree Embeddings for High Dimensional Spaces. | AmirMohsen Ahanchi, Alexandr Andoni, MohammadTaghi Hajiaghayi, Marina Knittel, Peilin Zhong |
| 2023 | SPAA | Brief Announcement: Streaming Balanced Clustering. | Hossein Esfandiari, Vahab Mirrokni, Peilin Zhong |
| 2022 | ICML | Massively Parallel k-Means Clustering for Perturbation Resilient Instances. | Vincent Cohen-Addad, Vahab S. Mirrokni, Peilin Zhong |
| 2022 | SODA | Massively Parallel and Dynamic Algorithms for Minimum Size Clustering. | Alessandro Epasto, Mohammad Mahdian, Vahab S. Mirrokni, Peilin Zhong |
| 2022 | SODA | Improved Sliding Window Algorithms for Clustering and Coverage via Bucketing-Based Sketches. | Alessandro Epasto, Mohammad Mahdian, Vahab S. Mirrokni, Peilin Zhong |
| 2021 | AAAI | Almost Linear Time Density Level Set Estimation via DBSCAN. | Hossein Esfandiari, Vahab S. Mirrokni, Peilin Zhong |
| 2020 | ICLR | Enhancing Adversarial Defense by k-Winners-Take-All. | Chang Xiao, Peilin Zhong, Changxi Zheng |
| 2020 | STOC | Parallel approximate undirected shortest paths via low hop emulators. | Alexandr Andoni, Clifford Stein, Peilin Zhong |
| 2020 | SPAA | Connected Components on a PRAM in Log Diameter Time. | Sixue Cliff Liu, Robert E. Tarjan, Peilin Zhong |
| 2019 | ICALP | Log Diameter Rounds Algorithms for 2-Vertex and 2-Edge Connectivity. | Alexandr Andoni, Clifford Stein, Peilin Zhong |
| 2019 | SODA | Relative Error Tensor Low Rank Approximation. | Zhao Song, David P. Woodruff, Peilin Zhong |
| 2018 | FOCS | Parallel Graph Connectivity in Log Diameter Rounds. | Alexandr Andoni, Zhao Song, Clifford Stein, Zhengyu Wang, Peilin Zhong |
| 2018 | ICML | Subspace Embedding and Linear Regression with Orlicz Norm. | Alexandr Andoni, Chengyu Lin, Ying Sheng, Peilin Zhong, Ruiqi Zhong |
| 2017 | STOC | Low rank approximation with entrywise l | Zhao Song, David P. Woodruff, Peilin Zhong |
| 2016 | ICDE | Distributed low rank approximation of implicit functions of a matrix. | David P. Woodruff, Peilin Zhong |
| 2016 | STOC | Optimal principal component analysis in distributed and streaming models. | Christos Boutsidis, David P. Woodruff, Peilin Zhong |
| 2014 | ICASSP | Deep learning of feature representation with multiple instance learning for medical image analysis. | Yan Xu, Tao Mo, Qiwei Feng, Peilin Zhong, Maode Lai, Eric I-Chao Chang |