2 citations · 2 across the 6 of their papers we have counts for
6 papers
Landslide Surface Displacement Prediction Based on VSXC-LSTM Algorithm
Menglin Kong, Ruichen Li, Fan Liu +4
Landslide is a natural disaster that can easily threaten local ecology, people's lives and property. In this paper, we conduct modelling research on real unidirectional surface dis…
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…
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…
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…
PHN: Parallel heterogeneous network with soft gating for CTR prediction
Ri Su, Alphonse Houssou Hounye, Cong Cao +1
The Click-though Rate (CTR) prediction task is a basic task in recommendation system. Most of the previous researches of CTR models built based on Wide \& deep structure and gradua…
A New Constructive Method to Optimize Neural Network Architecture and Generalization
Hou Muzhou, Moon Ho Lee
In this paper, after analyzing the reasons of poor generalization and overfitting in neural networks, we consider some noise data as a singular value of a continuous function - jum…