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20182025
most citedData-centric Artificial Intelligence: A Survey

102 citations · 210 across the 20 of their papers we have counts for

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Showing 2022Show all

7 papers · 1 filter

cs.IR2022

Adaptive Risk-Aware Bidding with Budget Constraint in Display Advertising

Zhimeng Jiang, Kaixiong Zhou, Mi Zhang +3

Real-time bidding (RTB) has become a major paradigm of display advertising. Each ad impression generated from a user visit is auctioned in real time, where demand-side platform (DS…

cs.LG2022★ 1 cited

Towards Generating Adversarial Examples on Mixed-type Data

Han Xu, Menghai Pan, Zhimeng Jiang +4

The existence of adversarial attacks (or adversarial examples) brings huge concern about the machine learning (ML) model's safety issues. For many safety-critical ML tasks, such as…

cs.LG2022★ 1 cited

DIVISION: Memory Efficient Training via Dual Activation Precision

Guanchu Wang, Zirui Liu, Zhimeng Jiang +3

Activation compressed training provides a solution towards reducing the memory cost of training deep neural networks~(DNNs). However, state-of-the-art work combines a search of qua…

cs.LG2022★ 44 cited

G-Mixup: Graph Data Augmentation for Graph Classification

Xiaotian Han, Zhimeng Jiang, Ninghao Liu +1

This work develops \emph{mixup for graph data}. Mixup has shown superiority in improving the generalization and robustness of neural networks by interpolating features and labels b…

cs.LG2022

Geometric Graph Representation Learning via Maximizing Rate Reduction

Xiaotian Han, Zhimeng Jiang, Ninghao Liu +3

Learning discriminative node representations benefits various downstream tasks in graph analysis such as community detection and node classification. Existing graph representation…

cs.LG2022★ 14 cited

FMP: Toward Fair Graph Message Passing against Topology Bias

Zhimeng Jiang, Xiaotian Han, Chao Fan +4

Despite recent advances in achieving fair representations and predictions through regularization, adversarial debiasing, and contrastive learning in graph neural networks (GNNs), t…