67 citations · 96 across the 5 of their papers we have counts for
5 papers
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…
MIntRec: A New Dataset for Multimodal Intent Recognition
Hanlei Zhang, Hua Xu, Xin Wang +3
Multimodal intent recognition is a significant task for understanding human language in real-world multimodal scenes. Most existing intent recognition methods have limitations in l…
Learning Discriminative Representations and Decision Boundaries for Open Intent Detection
Hanlei Zhang, Hua Xu, Shaojie Zhao +1
Open intent detection is a significant problem in natural language understanding, which aims to identify the unseen open intent while ensuring known intent identification performan…