117 citations · 924 across the 105 of their papers we have counts for
119 papers
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…
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…
Graph Transductive Defense: a Two-Stage Defense for Graph Membership Inference Attacks
Peizhi Niu, Chao Pan, Siheng Chen +1
Graph neural networks (GNNs) have become instrumental in diverse real-world applications, offering powerful graph learning capabilities for tasks such as social networks and medica…
Multiple sequences Prophet Inequality Under Observation Constraints
Aristomenis Tsopelakos, Olgica Milenkovic
In our problem, we are given access to a number of sequences of nonnegative i.i.d. random variables, whose realizations are observed sequentially. All sequences are of the same fin…
Online Distribution Learning with Local Private Constraints
Jin Sima, Changlong Wu, Olgica Milenkovic +1
We study the problem of online conditional distribution estimation with \emph{unbounded} label sets under local differential privacy. Let be a distribution-valued fun…
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…