15 citations · 31 across the 7 of their papers we have counts for
11 papers
Controllable Gradient Item Retrieval
Haonan Wang, Chang Zhou, Carl Yang +2
In this paper, we identify and study an important problem of gradient item retrieval. We define the problem as retrieving a sequence of items with a gradual change on a certain att…
A Visual Analytics Framework for Explaining and Diagnosing Transfer Learning Processes
Yuxin Ma, Arlen Fan, Jingrui He +2
Many statistical learning models hold an assumption that the training data and the future unlabeled data are drawn from the same distribution. However, this assumption is difficult…
Generic Outlier Detection in Multi-Armed Bandit
Yikun Ban, Jingrui He
In this paper, we study the problem of outlier arm detection in multi-armed bandit settings, which finds plenty of applications in many high-impact domains such as finance, healthc…
Continuous Transfer Learning with Label-informed Distribution Alignment
Jun Wu, Jingrui He
Transfer learning has been successfully applied across many high-impact applications. However, most existing work focuses on the static transfer learning setting, and very little i…
Coalesced TLB to Exploit Diverse Contiguity of Memory Mapping
Yikun Ban, Yuchen Zhou, Xu Cheng +1
The miss rate of TLB is crucial to the performance of address translation for virtual memory. To reduce the TLB misses, improving translation coverage of TLB has been an primary ap…
DEMO-Net: Degree-specific Graph Neural Networks for Node and Graph Classification
Jun Wu, Jingrui He, Jiejun Xu
Graph data widely exist in many high-impact applications. Inspired by the success of deep learning in grid-structured data, graph neural network models have been proposed to learn…