Fajie Yuan

Fajie Yuan

University of Glasgow

H-index: 19

Europe-United Kingdom

About Fajie Yuan

Fajie Yuan, With an exceptional h-index of 19 and a recent h-index of 19 (since 2020), a distinguished researcher at University of Glasgow, specializes in the field of recommender systems, protein engineering, computational biology, machine learning.

His recent articles reflect a diverse array of research interests and contributions to the field:

Protein language models-assisted optimization of a uracil-N-glycosylase variant enables programmable T-to-G and T-to-C base editing

An image dataset for benchmarking recommender systems with raw pixels

Offline Trajectory Generalization for Offline Reinforcement Learning

Breaking the Length Barrier: LLM-Enhanced CTR Prediction in Long Textual User Behaviors

Empowering Sequential Recommendation from Collaborative Signals and Semantic Relatedness

Ninerec: A benchmark dataset suite for evaluating transferable recommendation

Sequence vs. Structure: Delving Deep into Data-Driven Protein Function Prediction

SaProt: protein language modeling with structure-aware vocabulary

Fajie Yuan Information

University

Position

___

Citations(all)

1693

Citations(since 2020)

1599

Cited By

510

hIndex(all)

19

hIndex(since 2020)

19

i10Index(all)

32

i10Index(since 2020)

30

Email

University Profile Page

Google Scholar

Fajie Yuan Skills & Research Interests

recommender systems

protein engineering

computational biology

machine learning

Top articles of Fajie Yuan

Title

Journal

Author(s)

Publication Date

Protein language models-assisted optimization of a uracil-N-glycosylase variant enables programmable T-to-G and T-to-C base editing

Molecular Cell

Yan He

Xibin Zhou

Chong Chang

Ge Chen

Weikuan Liu

...

2024/2/9

An image dataset for benchmarking recommender systems with raw pixels

Yu Cheng

Yunzhu Pan

Jiaqi Zhang

Yongxin Ni

Aixin Sun

...

2024

Offline Trajectory Generalization for Offline Reinforcement Learning

arXiv preprint arXiv:2404.10393

Ziqi Zhao

Zhaochun Ren

Liu Yang

Fajie Yuan

Pengjie Ren

...

2024/4/16

Breaking the Length Barrier: LLM-Enhanced CTR Prediction in Long Textual User Behaviors

arXiv preprint arXiv:2403.19347

Binzong Geng

Zhaoxin Huan

Xiaolu Zhang

Yong He

Liang Zhang

...

2024/3/28

Empowering Sequential Recommendation from Collaborative Signals and Semantic Relatedness

arXiv preprint arXiv:2403.07623

Mingyue Cheng

Hao Zhang

Qi Liu

Fajie Yuan

Zhi Li

...

2024/3/12

Ninerec: A benchmark dataset suite for evaluating transferable recommendation

IEEE Transactions on Pattern Analysis and Machine Intelligence

Jiaqi Zhang

Yu Cheng

Yongxin Ni

Yunzhu Pan

Zheng Yuan

...

2024/3/8

Sequence vs. Structure: Delving Deep into Data-Driven Protein Function Prediction

bioRxiv

Xiaochen Tian

Ziyin Wang

Kevin K Yang

Jin Su

Hanwen Du

...

2023/4/4

SaProt: protein language modeling with structure-aware vocabulary

bioRxiv

Jin Su

Chenchen Han

Yuyang Zhou

Junjie Shan

Xibin Zhou

...

2023/10/2

Lifelong language learning with adaptive uncertainty regularization

Information Sciences

Lei Zhang

Shupeng Wang

Fajie Yuan

Binzong Geng

Min Yang

2023/4/1

A content-driven micro-video recommendation dataset at scale

arXiv preprint arXiv:2309.15379

Yongxin Ni

Yu Cheng

Xiangyan Liu

Junchen Fu

Youhua Li

...

2023/9/27

Generative Diffusion Models for Antibody Design, Docking, and Optimization

bioRxiv

Zhangzhi Peng

Chenchen Han

Xiaohan Wang

Dapeng Li

Fajie Yuan

2023

Where to go next for recommender systems? id-vs. modality-based recommender models revisited

Zheng Yuan

Fajie Yuan

Yu Song

Youhua Li

Junchen Fu

...

2023/7/19

Multi-Modality is All You Need for Transferable Recommender Systems

arXiv preprint arXiv:2312.09602

Youhua Li

Hanwen Du

Yongxin Ni

Pengpeng Zhao

Qi Guo

...

2023/12/15

Exploring Adapter-based Transfer Learning for Recommender Systems: Empirical Studies and Practical Insights

WSDM2024

Junchen Fu

Fajie Yuan

Yu Song

Zheng Yuan

Mingyue Cheng

...

2023/5/24

Hypergraph Node Representation Learning with One-Stage Message Passing

arXiv preprint arXiv:2312.00336

Shilin Qu

Weiqing Wang

Yuan-Fang Li

Xin Zhou

Fajie Yuan

2023/12/1

Exploring the upper limits of text-based collaborative filtering using large language models: Discoveries and insights

arXiv preprint arXiv:2305.11700

Ruyu Li

Wenhao Deng

Yu Cheng

Zheng Yuan

Jiaqi Zhang

...

2023/5/19

FMMRec: Fairness-aware Multimodal Recommendation

arXiv preprint arXiv:2310.17373

Weixin Chen

Li Chen

Yongxin Ni

Yuhan Zhao

Fajie Yuan

...

2023/10/26

Enhancing Top-N Item Recommendations by Peer Collaboration

Yang Sun

Fajie Yuan

Min Yang

Alexandros Karatzoglou

Li Shen

...

2022/7/6

Exploring evolution-aware & -free protein language models as protein function predictors

Mingyang Hu

Fajie Yuan

Kevin K Yang

Fusong Ju

Jin Su

...

2022/6/14

TransRec: Learning Transferable Recommendation from Mixture-of-Modality Feedback

arXiv preprint arXiv:2206.06190

Jie Wang

Fajie Yuan

Mingyue Cheng

Joemon M Jose

Chenyun Yu

...

2022/6/13

See List of Professors in Fajie Yuan University(University of Glasgow)

Co-Authors

academic-engine