166 citations · 631 across the 64 of their papers we have counts for
11 papers · 1 filter
Mutually-Regularized Dual Collaborative Variational Auto-encoder for Recommendation Systems
Yaochen Zhu, Zhenzhong Chen
Recently, user-oriented auto-encoders (UAEs) have been widely used in recommender systems to learn semantic representations of users based on their historical ratings. However, sin…
Efficient and Accurate Quantized Image Super-Resolution on Mobile NPUs, Mobile AI & AIM 2022 challenge: Report
Andrey Ignatov, Radu Timofte, Maurizio Denna +93
Image super-resolution is a common task on mobile and IoT devices, where one often needs to upscale and enhance low-resolution images and video frames. While numerous solutions hav…
Hierarchical Transformer with Spatio-Temporal Context Aggregation for Next Point-of-Interest Recommendation
Jiayi Xie, Zhenzhong Chen
Next point-of-interest (POI) recommendation is a critical task in location-based social networks, yet remains challenging due to a high degree of variation and personalization exhi…
Debiased Cross-modal Matching for Content-based Micro-video Background Music Recommendation
Jinng Yi, Zhenzhong Chen
Micro-video background music recommendation is a complicated task where the matching degree between videos and uploader-selected background music is a major issue. However, the sel…
Learning Human Cognitive Appraisal Through Reinforcement Memory Unit
Yaosi Hu, Zhenzhong Chen
We propose a novel memory-enhancing mechanism for recurrent neural networks that exploits the effect of human cognitive appraisal in sequential assessment tasks. We conceptualize t…
Exploring Long- and Short-Range Temporal Information for Learned Video Compression
Huairui Wang, Zhenzhong Chen
Learned video compression methods have gained a variety of interest in the video coding community since they have matched or even exceeded the rate-distortion (RD) performance of t…
Learned Video Compression via Heterogeneous Deformable Compensation Network
Huairui Wang, Zhenzhong Chen, Chang Wen Chen
Learned video compression has recently emerged as an essential research topic in developing advanced video compression technologies, where motion compensation is considered one of…
Deep Deconfounded Content-based Tag Recommendation for UGC with Causal Intervention
Yaochen Zhu, Xubin Ren, Jing Yi +1
Traditional content-based tag recommender systems directly learn the association between user-generated content (UGC) and tags based on collected UGC-tag pairs. However, since a UG…
Multi-Auxiliary Augmented Collaborative Variational Auto-encoder for Tag Recommendation
Jing Yi, Xubin Ren, Zhenzhong Chen
Recommending appropriate tags to items can facilitate content organization, retrieval, consumption and other applications, where hybrid tag recommender systems have been utilized t…
Pyramid Feature Alignment Network for Video Deblurring
Leitian Tao, Zhenzhong Chen
Video deblurring remains a challenging task due to various causes of blurring. Traditional methods have considered how to utilize neighboring frames by the single-scale alignment f…
Deep Causal Reasoning for Recommendations
Yaochen Zhu, Jing Yi, Jiayi Xie +1
Traditional recommender systems aim to estimate a user's rating to an item based on observed ratings from the population. As with all observational studies, hidden confounders, whi…