Feng Wu

Knowing User Better: Jointly Predicting Click-Through and Playtime for Micro-Video

2019

Most micro-video recommender systems use the click-through to measure user satisfaction. However, the amount of time that users spend on a video, the playtime, measures user engagement on video contents and should be used as …

Prototype-Augmented Self-Supervised Generative Network for Generalized Zero-Shot Learning

2024 · IEEE Transactions on Image Processing

Generalized Zero-Shot Learning (GZSL) aims at recognizing images from both seen and unseen classes by constructing correspondences between visual images and semantic embedding. However, existing methods suffer from a strong bias problem, where unseen images …

Improving Offline Reinforcement Learning with Inaccurate Simulators

2024 · arXiv (Cornell University)

Offline reinforcement learning (RL) provides a promising approach to avoid costly online interaction with the real environment. However, the performance of offline RL highly depends on the quality of the datasets, which may cause extrapolation …

Accurate and Scalable Graph Neural Networks via Message Invariance

2025 · arXiv (Cornell University)

Message passing-based graph neural networks (GNNs) have achieved great success in many real-world applications. For a sampled mini-batch of target nodes, the message passing process is divided into two parts: message passing between nodes within …