Yuan, Fajie
- Where to Go Next for Recommender Systems? ID- vs. Modality-based Recommender Models Revisited
2023/03/24 by Zheng Yuan, Yuan, Zheng, Fajie Yuan +13 · 37 citations
Computer Science · #FOS: Computer and information sciences #Information Retrieval (cs.IR) #Multimodal Machine Learning Applications #Recommender Systems and Techniques #Topic Modeling
- A Content-Driven Micro-Video Recommendation Dataset at Scale
2023/09/27 by Yongxin Ni, Ni, Yongxin, Yu Cheng +13 · 21 citations
Computer Science · #FOS: Computer and information sciences #Information Retrieval (cs.IR) #Recommender Systems and Techniques
- A Simple Convolutional Generative Network for Next Item Recommendation
2018/08/15 by Fajie Yuan, Alexandros Karatzoglou, Yuan, Fajie +7 · 10 citations
Computer Science · #FOS: Computer and information sciences #Generative Adversarial Networks and Image Synthesis #Information Retrieval (cs.IR) #Machine Learning (cs.LG) #Machine Learning (stat.ML) #Recommender Systems and Techniques #Topic Modeling
- Tenrec: A Large-scale Multipurpose Benchmark Dataset for Recommender Systems
2022/10/13 by Guanghu Yuan, Yuan, Guanghu, Fajie Yuan +21 · 10 citations
Computer Science · Decision Sciences · #Advanced Bandit Algorithms Research #Advanced Graph Neural Networks #FOS: Computer and information sciences #Information Retrieval (cs.IR) #Recommender Systems and Techniques
- Adversarial Training Towards Robust Multimedia Recommender System
2018/09/19 by Jinhui Tang, Xiaoyu Du, Tang, Jinhui +9 · 6 citations
Computer Science · #Stochastic Gradient Optimization Techniques #Generative Adversarial Networks and Image Synthesis #Multimodal Machine Learning Applications
- Exploring the Upper Limits of Text-Based Collaborative Filtering Using Large Language Models: Discoveries and Insights
2023/05/19 by Ruyu Li, Wenhao Deng, Li, Ruyu +9 · 9 citations
Computer Science · #Recommender Systems and Techniques #Topic Modeling
- One Person, One Model, One World: Learning Continual User Representation without Forgetting
2020/09/29 by Yuan, Fajie, Zhang, Guoxiao, Karatzoglou, Alexandros +3 · 4 citations
#FOS: Computer and information sciences #Information Retrieval (cs.IR)
- An Image Dataset for Benchmarking Recommender Systems with Raw Pixels
2023/09/13 by Yu Cheng, Cheng, Yu, Yunzhu Pan +9 · 5 citations
Computer Science · #FOS: Computer and information sciences #Image Retrieval and Classification Techniques #Information Retrieval (cs.IR) #Multimodal Machine Learning Applications #Recommender Systems and Techniques
- Breaking the Length Barrier: LLM-Enhanced CTR Prediction in Long Textual User Behaviors
2024/03/28 by Binzong Geng, Geng, Binzong, Zhaoxin Huan +13 · 6 citations
Computer Science · #Recommender Systems and Techniques #Topic Modeling #Intelligent Tutoring Systems and Adaptive Learning
- NineRec: A Benchmark Dataset Suite for Evaluating Transferable Recommendation
2023/09/14 by Zhang, Jiaqi, Cheng, Yu, Ni, Yongxin +6 · 4 citations
#FOS: Computer and information sciences #Information Retrieval (cs.IR)
- Continual Learning for Task-oriented Dialogue System with Iterative Network Pruning, Expanding and Masking
2021/07/17 by Geng, Binzong, Yuan, Fajie, Xu, Qiancheng +3 · 2 citations
#Computation and Language (cs.CL) #FOS: Computer and information sciences
- Multi-Modality is All You Need for Transferable Recommender Systems
2023/12/15 by Youhua Li, Li, Youhua, Hanwen Du +11 · 3 citations
Computer Science · #FOS: Computer and information sciences #Information Retrieval (cs.IR) #Multimodal Machine Learning Applications #Recommender Systems and Techniques #Topic Modeling
- Enhancing Top-N Item Recommendations by Peer Collaboration
2021/10/31 by Sun, Yang, Yuan, Fajie, Yang, Min +3 · 2 citations
#FOS: Computer and information sciences #Information Retrieval (cs.IR)
- TransRec: Learning Transferable Recommendation from Mixture-of-Modality Feedback
2022/06/13 by Jie Wang, Wang, Jie, Fajie Yuan +15 · 2 citations
Computer Science · #FOS: Computer and information sciences #Information Retrieval (cs.IR) #Machine Learning in Healthcare #Recommender Systems and Techniques #Topic Modeling
- LeanVAE: An Ultra-Efficient Reconstruction VAE for Video Diffusion Models
2025/03/18 by Cheng, Yu, Yuan, Fajie · 5 citations
#Computer Vision and Pattern Recognition (cs.CV) #FOS: Computer and information sciences #FOS: Electrical engineering #Image and Video Processing (eess.IV) #electronic engineering #information engineering
- Future Data Helps Training: Modeling Future Contexts for Session-based Recommendation
2019/06/11 by Yuan, Fajie, He, Xiangnan, Jiang, Haochuan +4 · 1 citation
#FOS: Computer and information sciences #Information Retrieval (cs.IR) #Machine Learning (cs.LG)
- Offline Trajectory Optimization for Offline Reinforcement Learning
2024/04/16 by Ziqi Zhao, Zhao, Ziqi, Zhaochun Ren +14 · 2 citations
Computer Science · Engineering · #Artificial Intelligence (cs.AI) #Autonomous Vehicle Technology and Safety #FOS: Computer and information sciences #Machine Learning (cs.LG) #Reinforcement Learning in Robotics #Robot Manipulation and Learning
- Scene-adaptive Knowledge Distillation for Sequential Recommendation via Differentiable Architecture Search
2021/07/15 by Chen, Lei, Yuan, Fajie, Yang, Jiaxi +2 · 1 citation
#Artificial Intelligence (cs.AI) #FOS: Computer and information sciences #Information Retrieval (cs.IR)
- Empowering Sequential Recommendation from Collaborative Signals and Semantic Relatedness
2024/03/12 by Mingyue Cheng, Hao Zhang, Cheng, Mingyue +15 · 2 citations
Computer Science · Psychology · #Advanced Text Analysis Techniques #FOS: Computer and information sciences #Information Retrieval (cs.IR) #Recommender Systems and Techniques #Team Dynamics and Performance
- Exploring evolution-aware & -free protein language models as protein function predictors
2022/06/14 by Mingyang Hu, Fajie Yuan, Hu, Mingyang +13 · 1 citation
Biochemistry, Genetics and Molecular Biology · #Artificial Intelligence (cs.AI) #FOS: Biological sciences #FOS: Computer and information sciences #Genomics and Phylogenetic Studies #Machine Learning in Bioinformatics #Protein Structure and Dynamics #Quantitative Methods (q-bio.QM)