Weining Qian

Hybrid Evaluation for Occlusion-based Explanations on CNN Inference Queries

2024

Deep CNNs are increasingly prevalent in various application domains such as image processing. To explain a CNN prediction, it is popular to employ occlusion-based explanations (OBE). OBE helps users understand which parts of an image …

RELIEF: Reinforcement Learning Empowered Graph Feature Prompt Tuning

2024 · arXiv (Cornell University)

The advent of the "pre-train, prompt" paradigm has recently extended its generalization ability and data efficiency to graph representation learning, following its achievements in Natural Language Processing (NLP). Initial graph prompt tuning approaches tailored specialized …

Scheduling Data Processing Pipelines for Incremental Training on MLP-based Recommendation Models

2025

Multi-layer Perceptron (MLP)-based models have been widely exploited by modern recommendation applications. In practice, industrial recommendation scenarios frequently launch continuous incremental training jobs with only one epoch to capture real-time user features. This kind of …