3 papers
cs.LG2023
DEPHN: Different Expression Parallel Heterogeneous Network using virtual gradient optimization for Multi-task Learning
Menglin Kong, Ri Su, Shaojie Zhao +1
Recommendation system algorithm based on multi-task learning (MTL) is the major method for Internet operators to understand users and predict their behaviors in the multi-behavior…
cs.LG2023
FaFCNN: A General Disease Classification Framework Based on Feature Fusion Neural Networks
Menglin Kong, Shaojie Zhao, Juan Cheng +4
There are two fundamental problems in applying deep learning/machine learning methods to disease classification tasks, one is the insufficient number and poor quality of training s…
cs.IR2023
DADIN: Domain Adversarial Deep Interest Network for Cross Domain Recommender Systems
Menglin Kong, Muzhou Hou, Shaojie Zhao +3
Click-Through Rate (CTR) prediction is one of the main tasks of the recommendation system, which is conducted by a user for different items to give the recommendation results. Cros…