45 citations · 92 across the 11 of their papers we have counts for
11 papers
Category-based and Popularity-guided Video Game Recommendation: A Balance-oriented Framework
Xiping Li, Jianghong Ma, Kangzhe Liu +3
In recent years, the video game industry has experienced substantial growth, presenting players with a vast array of game choices. This surge in options has spurred the need for a…
CPGRec+: A Balance-oriented Framework for Personalized Video Game Recommendations
Xiping Li, Aier Yang, Jianghong Ma +4
The rapid expansion of gaming industry requires advanced recommender systems tailored to its dynamic landscape. Existing Graph Neural Network (GNN)-based methods primarily prioriti…
COutfitGAN: Learning to Synthesize Compatible Outfits Supervised by Silhouette Masks and Fashion Styles
Dongliang Zhou, Haijun Zhang, Qun Li +2
How to recommend outfits has gained considerable attention in both academia and industry in recent years. Many studies have been carried out regarding fashion compatibility learnin…
BC-GAN: A Generative Adversarial Network for Synthesizing a Batch of Collocated Clothing
Dongliang Zhou, Haijun Zhang, Jianghong Ma +1
Collocated clothing synthesis using generative networks has become an emerging topic in the field of fashion intelligence, as it has significant potential economic value to increas…
FCBoost-Net: A Generative Network for Synthesizing Multiple Collocated Outfits via Fashion Compatibility Boosting
Dongliang Zhou, Haijun Zhang, Jianghong Ma +2
Outfit generation is a challenging task in the field of fashion technology, in which the aim is to create a collocated set of fashion items that complement a given set of items. Pr…
Towards Intelligent Design: A Self-driven Framework for Collocated Clothing Synthesis Leveraging Fashion Styles and Textures
Minglong Dong, Dongliang Zhou, Jianghong Ma +1
Collocated clothing synthesis (CCS) has emerged as a pivotal topic in fashion technology, primarily concerned with the generation of a clothing item that harmoniously matches a giv…
DRGame: Diversified Recommendation for Multi-category Video Games with Balanced Implicit Preferences
Kangzhe Liu, Jianghong Ma, Shanshan Feng +2
The growing popularity of subscription services in video game consumption has emphasized the importance of offering diversified recommendations. Providing users with a diverse rang…
IDVT: Interest-aware Denoising and View-guided Tuning for Social Recommendation
Dezhao Yang, Jianghong Ma, Shanshan Feng +2
In the information age, recommendation systems are vital for efficiently filtering information and identifying user preferences. Online social platforms have enriched these systems…
Asymmetric feature interaction for interpreting model predictions
Xiaolei Lu, Jianghong Ma, Haode Zhang
In natural language processing (NLP), deep neural networks (DNNs) could model complex interactions between context and have achieved impressive results on a range of NLP tasks. Pri…
Collaborative Residual Metric Learning
Tianjun Wei, Jianghong Ma, Tommy W. S. Chow
In collaborative filtering, distance metric learning has been applied to matrix factorization techniques with promising results. However, matrix factorization lacks the ability of…
Fine-tuning Partition-aware Item Similarities for Efficient and Scalable Recommendation
Tianjun Wei, Jianghong Ma, Tommy W. S. Chow
Collaborative filtering (CF) is widely searched in recommendation with various types of solutions. Recent success of Graph Convolution Networks (GCN) in CF demonstrates the effecti…