Search Results for author: Fuji Ren

Found 14 papers, 2 papers with code

Bridging the User-side Knowledge Gap in Knowledge-aware Recommendations with Large Language Models

1 code implementation18 Dec 2024 Zheng Hu, Zhe Li, Ziyun Jiao, Satoshi Nakagawa, Jiawen Deng, Shimin Cai, Tao Zhou, Fuji Ren

In recent years, knowledge graphs have been integrated into recommender systems as item-side auxiliary information, enhancing recommendation accuracy.

Contrastive Learning Knowledge Graphs +3

A Review of Human Emotion Synthesis Based on Generative Technology

no code implementations10 Dec 2024 Fei Ma, Yukan Li, Yifan Xie, Ying He, Yi Zhang, Hongwei Ren, Zhou Liu, Wei Yao, Fuji Ren, Fei Richard Yu, Shiguang Ni

Specifically, this review will first present the review methodology, the emotion models involved, the mathematical principles of generative models, and the datasets used.

Generative Technology for Human Emotion Recognition: A Scope Review

no code implementations4 Jul 2024 Fei Ma, Yucheng Yuan, Yifan Xie, Hongwei Ren, Ivan Liu, Ying He, Fuji Ren, Fei Richard Yu, Shiguang Ni

Finally, the review will outline future research directions, emphasizing the potential of generative models to advance the field of emotion recognition and enhance the emotional intelligence of AI systems.

Data Augmentation Emotional Intelligence +5

MSSTNet: A Multi-Scale Spatio-Temporal CNN-Transformer Network for Dynamic Facial Expression Recognition

no code implementations12 Apr 2024 Linhuang Wang, Xin Kang, Fei Ding, Satoshi Nakagawa, Fuji Ren

Our approach takes spatial features of different scales extracted by CNN and feeds them into a Multi-scale Embedding Layer (MELayer).

Action Recognition Attribute +3

SSP: A Simple and Safe automatic Prompt engineering method towards realistic image synthesis on LVM

no code implementations2 Jan 2024 Weijin Cheng, Jianzhi Liu, Jiawen Deng, Fuji Ren

Consequently, we propose a simple and safe prompt engineering method (SSP) to improve image generation quality by providing optimal camera descriptions.

Image Generation Instruction Following +1

Bert4XMR: Cross-Market Recommendation with Bidirectional Encoder Representations from Transformer

2 code implementations24 May 2023 Zheng Hu, Satoshi Nakagawa, Shi-Min Cai, Fuji Ren

To mitigate potential negative transfer, we separate the item representations into market embeddings and item embeddings.

General Knowledge Transfer Learning

Graph Learning and Its Advancements on Large Language Models: A Holistic Survey

no code implementations17 Dec 2022 Shaopeng Wei, Jun Wang, Yu Zhao, Xingyan Chen, Qing Li, Fuzhen Zhuang, Ji Liu, Fuji Ren, Gang Kou

Different from previous surveys on graph learning, we provide a holistic review that analyzes current works from the perspective of graph structure, and discusses the latest applications, trends, and challenges in graph learning.

Graph Learning Representation Learning

Energy Optimized Congestion Control-Based Temperature Aware Routing Algorithm for Software Defined Wireless Body Area Networks

no code implementations journal 2020 Omar Ahmed, Fuji Ren, Ammar Hawbani, Yaser Al-Sharabi

The main contribution of this paper is to develop a novel Energy Optimized Congestion Control based on Temperature Aware Routing Algorithm (EOCC-TARA) using Enhanced Multi-objective Spider Monkey Optimization (EMSMO) for SDN-based WBAN.

BeSense: Leveraging WiFi Channel Data and Computational Intelligence for Behavior Analysis

no code implementations13 Jul 2019 Yu Gu, Xiang Zhang, Zhi Liu, Fuji Ren

The ever evolving informatics technology has gradually bounded human and computer in a compact way.

Two-level Attention with Two-stage Multi-task Learning for Facial Emotion Recognition

no code implementations29 Nov 2018 Xiaohua Wang, Muzi Peng, Lijuan Pan, Min Hu, Chunhua Jin, Fuji Ren

In this paper, a two-level attention with two-stage multi-task learning (2Att-2Mt) framework is proposed for facial emotion estimation on only static images.

Facial Emotion Recognition Multi-Task Learning +1

Cannot find the paper you are looking for? You can Submit a new open access paper.