activity
20182025
most citedMachine Unlearning of Federated Clusters

5 citations · 9 across the 10 of their papers we have counts for

collaborators

11 papers

cs.ET2025★ 1 cited

DNA Tails for Molecular Flash Memory

Jin Sima, Chao Pan, S. Kasra Tabatabaei +3

DNA-based data storage systems face practical challenges due to the high cost of DNA synthesis. A strategy to address the problem entails encoding data via topological modification…

cs.LG2024

FedGTST: Boosting Global Transferability of Federated Models via Statistics Tuning

Evelyn Ma, Chao Pan, Rasoul Etesami +2

The performance of Transfer Learning (TL) heavily relies on effective pretraining, which demands large datasets and substantial computational resources. As a result, executing TL i…

cs.DS2024

Perturbation-Resilient Trades for Dynamic Service Balancing

Jin Sima, Chao Pan, Olgica Milenkovic

A combinatorial trade is a pair of sets of blocks of elements that can be exchanged while preserving relevant subset intersection constraints. The class of balanced and swap-robust…

q-bio.GN2023

Interpretable Online Network Dictionary Learning for Inferring Long-Range Chromatin Interactions

Vishal Rana, Jianhao Peng, Chao Pan +4

Dictionary learning (DL) is commonly used in computational biology to tackle ubiquitous clustering problems due to its conceptual simplicity and relatively low computational comple…

cs.ET2023★ 1 cited

DNA-Based Data Storage Systems: A Review of Implementations and Code Constructions

Olgica Milenkovic, Chao Pan

In this review paper, we delve into the nascent field of molecular data storage, focusing on system implementations and code constructions. We start by providing an overview of bas…

q-bio.QM2023

Semi-Quantitative Group Testing for Efficient and Accurate qPCR Screening of Pathogens with a Wide Range of Loads

Ananthan Nambiar, Chao Pan, Vishal Rana +4

Pathogenic infections pose a significant threat to global health, affecting millions of people every year and presenting substantial challenges to healthcare systems worldwide. Eff…

cs.IT2023

Perturbation-Resilient Sets for Dynamic Service Balancing

Jin Sima, Chao Pan, Olgica Milenkovic

Balanced and swap-robust minimal trades, introduced in [1], are important for studying the balance and stability of server access request protocols under data popularity changes. C…

cs.LG2022★ 5 cited

Machine Unlearning of Federated Clusters

Chao Pan, Jin Sima, Saurav Prakash +2

Federated clustering (FC) is an unsupervised learning problem that arises in a number of practical applications, including personalized recommender and healthcare systems. With the…

math.CO2022

Balanced and Swap-Robust Trades for Dynamical Distributed Storage

Chao Pan, Ryan Gabrys, Xujun Liu +2

Trades, introduced by Hedayat, are two sets of blocks of elements which may be exchanged (traded) without altering the counts of certain subcollections of elements within their con…

eess.IV2019

Image processing in DNA

Chao Pan, S. M. Hossein Tabatabaei Yazdi, S Kasra Tabatabaei +3

The main obstacles for the practical deployment of DNA-based data storage platforms are the prohibitively high cost of synthetic DNA and the large number of errors introduced durin…

stat.ML2018★ 2 cited

Query K-means Clustering and the Double Dixie Cup Problem

I Chien, Chao Pan, Olgica Milenkovic

We consider the problem of approximate -means clustering with outliers and side information provided by same-cluster queries and possibly noisy answers. Our solution shows that,…