Fajie Yuan

ORCID

Publication Activity (10 Years)

Years Active: 2016-2024
Publications (10 Years): 78

Top Venues

CoRR

SIGIR

WSDM

IEEE Trans. Knowl. Data Eng.

University of Glasgow, UK (PHD)

Education History

University of Glasgow, UK

PHD

Publications

Jin Su, Chenchen Han, Yuyang Zhou, Junjie Shan, Xibin Zhou, Fajie Yuan
SaProt: Protein Language Modeling with Structure-aware Vocabulary. ICLR (2024)
Junchen Fu, Fajie Yuan, Yu Song, Zheng Yuan, Mingyue Cheng, Shenghui Cheng, Jiaqi Zhang, Jie Wang, Yunzhu Pan
Exploring Adapter-based Transfer Learning for Recommender Systems: Empirical Studies and Practical Insights. WSDM (2024)
Guoqing Zhang, Hui Wang, Zhiguo Zhang, Lu Zhang, Guibing Guo, Jian Yang, Fajie Yuan, Feng Ju
Highly accurate classification and discovery of microbial protein-coding gene functions using FunGeneTyper: an extensible deep learning framework. Briefings Bioinform. 25 (4) (2024)
Ziqi Zhao, Zhaochun Ren, Liu Yang, Fajie Yuan, Pengjie Ren, Zhumin Chen, Jun Ma, Xin Xin
Offline Trajectory Generalization for Offline Reinforcement Learning. CoRR (2024)
Yu Cheng, Yunzhu Pan, Jiaqi Zhang, Yongxin Ni, Aixin Sun, Fajie Yuan
An Image Dataset for Benchmarking Recommender Systems with Raw Pixels. SDM (2024)
Mingyue Cheng, Hao Zhang, Qi Liu, Fajie Yuan, Zhi Li, Zhenya Huang, Enhong Chen, Jun Zhou, Longfei Li
Empowering Sequential Recommendation from Collaborative Signals and Semantic Relatedness. CoRR (2024)
Binzong Geng, Zhaoxin Huan, Xiaolu Zhang, Yong He, Liang Zhang, Fajie Yuan, Jun Zhou, Linjian Mo
Breaking the Length Barrier: LLM-Enhanced CTR Prediction in Long Textual User Behaviors. CoRR (2024)
Youhua Li, Hanwen Du, Yongxin Ni, Pengpeng Zhao, Qi Guo, Fajie Yuan, Xiaofang Zhou
Multi-Modality is All You Need for Transferable Recommender Systems. ICDE (2024)
Binzong Geng, Zhaoxin Huan, Xiaolu Zhang, Yong He, Liang Zhang, Fajie Yuan, Jun Zhou, Linjian Mo
Breaking the Length Barrier: LLM-Enhanced CTR Prediction in Long Textual User Behaviors. SIGIR (2024)
Zhaoxin Huan, Ke Ding, Ang Li, Xiaolu Zhang, Xu Min, Yong He, Liang Zhang, Jun Zhou, Linjian Mo, Jinjie Gu, Zhongyi Liu, Wenliang Zhong, Guannan Zhang, Chenliang Li, Fajie Yuan
Exploring Multi-Scenario Multi-Modal CTR Prediction with a Large Scale Dataset. SIGIR (2024)
Yongxin Ni, Yu Cheng, Xiangyan Liu, Junchen Fu, Youhua Li, Xiangnan He, Yongfeng Zhang, Fajie Yuan
A Content-Driven Micro-Video Recommendation Dataset at Scale. CoRR (2023)
Zheng Yuan, Fajie Yuan, Yu Song, Youhua Li, Junchen Fu, Fei Yang, Yunzhu Pan, Yongxin Ni
Where to Go Next for Recommender Systems? ID- vs. Modality-based recommender models revisited. CoRR (2023)
Jiaqi Zhang, Yu Cheng, Yongxin Ni, Yunzhu Pan, Zheng Yuan, Junchen Fu, Youhua Li, Jie Wang, Fajie Yuan
NineRec: A Benchmark Dataset Suite for Evaluating Transferable Recommendation. CoRR (2023)
Weixin Chen, Li Chen, Yongxin Ni, Yuhan Zhao, Fajie Yuan, Yongfeng Zhang
FMMRec: Fairness-aware Multimodal Recommendation. CoRR (2023)
Lei Zhang, Shupeng Wang, Fajie Yuan, Binzong Geng, Min Yang
Lifelong language learning with adaptive uncertainty regularization. Inf. Sci. 622 (2023)
Zheng Yuan, Fajie Yuan, Yu Song, Youhua Li, Junchen Fu, Fei Yang, Yunzhu Pan, Yongxin Ni
Where to Go Next for Recommender Systems? ID- vs. Modality-based Recommender Models Revisited. SIGIR (2023)
Yu Cheng, Yunzhu Pan, Jiaqi Zhang, Yongxin Ni, Aixin Sun, Fajie Yuan
An Image Dataset for Benchmarking Recommender Systems with Raw Pixels. CoRR (2023)
Shilin Qu, Fajie Yuan, Guibing Guo, Liguang Zhang, Wei Wei
CmnRec: Sequential Recommendations With Chunk-Accelerated Memory Network. IEEE Trans. Knowl. Data Eng. 35 (4) (2023)
Shilin Qu, Weiqing Wang, Yuan-Fang Li, Xin Zhou, Fajie Yuan
Hypergraph Node Representation Learning with One-Stage Message Passing. CoRR (2023)
Youhua Li, Hanwen Du, Yongxin Ni, Pengpeng Zhao, Qi Guo, Fajie Yuan, Xiaofang Zhou
Multi-Modality is All You Need for Transferable Recommender Systems. CoRR (2023)
Lei Chen, Fajie Yuan, Jiaxi Yang, Xiangnan He, Chengming Li, Min Yang
User-Specific Adaptive Fine-Tuning for Cross-Domain Recommendations. IEEE Trans. Knowl. Data Eng. 35 (3) (2023)
Junchen Fu, Fajie Yuan, Yu Song, Zheng Yuan, Mingyue Cheng, Shenghui Cheng, Jiaqi Zhang, Jie Wang, Yunzhu Pan
Exploring Adapter-based Transfer Learning for Recommender Systems: Empirical Studies and Practical Insights. CoRR (2023)
Ruyu Li, Wenhao Deng, Yu Cheng, Zheng Yuan, Jiaqi Zhang, Fajie Yuan
Exploring the Upper Limits of Text-Based Collaborative Filtering Using Large Language Models: Discoveries and Insights. CoRR (2023)
Guanghu Yuan, Fajie Yuan, Yudong Li, Beibei Kong, Shujie Li, Lei Chen, Min Yang, Chenyun Yu, Bo Hu, Zang Li, Yu Xu, Xiaohu Qie
Tenrec: A Large-scale Multipurpose Benchmark Dataset for Recommender Systems. CoRR (2022)
Yang Sun, Fajie Yuan, Min Yang, Alexandros Karatzoglou, Li Shen, Xiaoyan Zhao
Enhancing Top-N Item Recommendations by Peer Collaboration. SIGIR (2022)
Guanghu Yuan, Fajie Yuan, Yudong Li, Beibei Kong, Shujie Li, Lei Chen, Min Yang, Chenyun Yu, Bo Hu, Zang Li, Yu Xu, Xiaohu Qie
Tenrec: A Large-scale Multipurpose Benchmark Dataset for Recommender Systems. NeurIPS (2022)
Mingyang Hu, Fajie Yuan, Kevin K. Yang, Fusong Ju, Jin Su, Hui Wang, Fei Yang, Qiuyang Ding
Exploring evolution-based & -free protein language models as protein function predictors. CoRR (2022)
Jie Wang, Fajie Yuan, Mingyue Cheng, Joemon M. Jose, Chenyun Yu, Beibei Kong, Zhijin Wang, Bo Hu, Zang Li
TransRec: Learning Transferable Recommendation from Mixture-of-Modality Feedback. CoRR (2022)
Mingyang Hu, Fajie Yuan, Kevin Yang, Fusong Ju, Jin Su, Hui Wang, Fei Yang, Qiuyang Ding
Exploring evolution-aware & -free protein language models as protein function predictors. NeurIPS (2022)
Yang Sun, Fajie Yuan, Min Yang, Alexandros Karatzoglou, Shen Li, Xiaoyan Zhao
Enhancing Top-N Item Recommendations by Peer Collaboration. CoRR (2021)
Songlin Zhai, Guibing Guo, Fajie Yuan, Yuan Liu, Xingwei Wang
VSE-fs: Fast Full-Sample Visual Semantic Embedding. IEEE Intell. Syst. 36 (4) (2021)
Lei Chen, Fajie Yuan, Jiaxi Yang, Min Yang, Chengming Li
Scene-adaptive Knowledge Distillation for Sequential Recommendation via Differentiable Architecture Search. CoRR (2021)
Lei Chen, Fajie Yuan, Jiaxi Yang, Xiang Ao, Chengming Li, Min Yang
A User-Adaptive Layer Selection Framework for Very Deep Sequential Recommender Models. AAAI (2021)
Jiachun Wang, Fajie Yuan, Jian Chen, Qingyao Wu, Min Yang, Yang Sun, Guoxiao Zhang
StackRec: Efficient Training of Very Deep Sequential Recommender Models by Iterative Stacking. SIGIR (2021)
Mingyue Cheng, Fajie Yuan, Qi Liu, Xin Xin, Enhong Chen
Learning Transferable User Representations with Sequential Behaviors via Contrastive Pre-training. ICDM (2021)
Mingyue Cheng, Fajie Yuan, Qi Liu, Shenyang Ge, Zhi Li, Runlong Yu, Defu Lian, Senchao Yuan, Enhong Chen
Learning Recommender Systems with Implicit Feedback via Soft Target Enhancement. SIGIR (2021)
Fajie Yuan, Guoxiao Zhang, Alexandros Karatzoglou, Joemon M. Jose, Beibei Kong, Yudong Li
One Person, One Model, One World: Learning Continual User Representation without Forgetting. SIGIR (2021)
Lei Chen, Fajie Yuan, Jiaxi Yang, Xiangnan He, Chengming Li, Min Yang
User-specific Adaptive Fine-tuning for Cross-domain Recommendations. CoRR (2021)
Binzong Geng, Fajie Yuan, Qiancheng Xu, Ying Shen, Ruifeng Xu, Min Yang
Continual Learning for Task-oriented Dialogue System with Iterative Network Pruning, Expanding and Masking. ACL/IJCNLP (2) (2021)
Binzong Geng, Min Yang, Fajie Yuan, Shupeng Wang, Xiang Ao, Ruifeng Xu
Iterative Network Pruning with Uncertainty Regularization for Lifelong Sentiment Classification. SIGIR (2021)
Binzong Geng, Fajie Yuan, Qiancheng Xu, Ying Shen, Ruifeng Xu, Min Yang
Continual Learning for Task-oriented Dialogue System with Iterative Network Pruning, Expanding and Masking. CoRR (2021)
Binzong Geng, Min Yang, Fajie Yuan, Shupeng Wang, Xiang Ao, Ruifeng Xu
Iterative Network Pruning with Uncertainty Regularization for Lifelong Sentiment Classification. CoRR (2021)
Jinhui Tang, Xiaoyu Du, Xiangnan He, Fajie Yuan, Qi Tian, Tat-Seng Chua
Adversarial Training Towards Robust Multimedia Recommender System. IEEE Trans. Knowl. Data Eng. 32 (5) (2020)
Yang Sun, Fajie Yuan, Min Yang, Guoao Wei, Zhou Zhao, Duo Liu
A Generic Network Compression Framework for Sequential Recommender Systems. SIGIR (2020)
Jiachun Wang, Fajie Yuan, Jian Chen, Qingyao Wu, Chengming Li, Min Yang, Yang Sun, Guoxiao Zhang
StackRec: Efficient Training of Very Deep Sequential Recommender Models by Layer Stacking. CoRR (2020)
Fajie Yuan, Xiangnan He, Alexandros Karatzoglou, Liguang Zhang
Parameter-Efficient Transfer from Sequential Behaviors for User Profiling and Recommendation. CoRR (2020)
Fajie Yuan, Xiangnan He, Haochuan Jiang, Guibing Guo, Jian Xiong, Zhezhao Xu, Yilin Xiong
Future Data Helps Training: Modeling Future Contexts for Session-based Recommendation. WWW (2020)
Shilin Qu, Fajie Yuan, Guibing Guo, Liguang Zhang, Wei Wei
CmnRec: Sequential Recommendations with Chunk-accelerated Memory Network. CoRR (2020)
Fajie Yuan, Guoxiao Zhang, Alexandros Karatzoglou, Xiangnan He, Joemon M. Jose, Beibei Kong, Yudong Li
One Person, One Model, One World: Learning Continual User Representation without Forgetting. CoRR (2020)
Fajie Yuan, Xiangnan He, Alexandros Karatzoglou, Liguang Zhang
Parameter-Efficient Transfer from Sequential Behaviors for User Modeling and Recommendation. SIGIR (2020)
Yang Sun, Fajie Yuan, Min Yang, Guoao Wei, Zhou Zhao, Duo Liu
A Generic Network Compression Framework for Sequential Recommender Systems. CoRR (2020)
Guibing Guo, Shichang Ouyang, Xiaodong He, Fajie Yuan, Xiaohua Liu
Dynamic Item Block and Prediction Enhancing Block for Sequential Recommendation. IJCAI (2019)
Fajie Yuan, Xiangnan He, Guibing Guo, Zhezhao Xu, Jian Xiong, Xiuqiang He
Modeling the Past and Future Contexts for Session-based Recommendation. CoRR (2019)
Xiaoyu Du, Xiangnan He, Fajie Yuan, Jinhui Tang, Zhiguang Qin, Tat-Seng Chua
Modeling Embedding Dimension Correlations via Convolutional Neural Collaborative Filtering. CoRR (2019)
Fajie Yuan, Alexandros Karatzoglou, Ioannis Arapakis, Joemon M. Jose, Xiangnan He
A Simple Convolutional Generative Network for Next Item Recommendation. WSDM (2019)
Xiaoyu Du, Xiangnan He, Fajie Yuan, Jinhui Tang, Zhiguang Qin, Tat-Seng Chua
Modeling Embedding Dimension Correlations via Convolutional Neural Collaborative Filtering. ACM Trans. Inf. Syst. 37 (4) (2019)
Guibing Guo, Songlin Zhai, Fajie Yuan, Yuan Liu, Xingwei Wang
VSE-ens: Visual-Semantic Embeddings with Efficient Negative Sampling. CoRR (2018)
Xin Xin, Fajie Yuan, Xiangnan He, Joemon M. Jose
Batch IS NOT Heavy: Learning Word Representations From All Samples. ACL (1) (2018)
Guibing Guo, Shichang Ouyang, Fajie Yuan, Xingwei Wang
Approximating Word Ranking and Negative Sampling for Word Embedding. IJCAI (2018)
Guibing Guo, Songlin Zhai, Fajie Yuan, Yuan Liu, Xingwei Wang
VSE-ens: Visual-Semantic Embeddings with Efficient Negative Sampling. AAAI (2018)
Fajie Yuan, Xin Xin, Xiangnan He, Guibing Guo, Weinan Zhang, Tat-Seng Chua, Jose M. Joemon
: Learning Embeddings From Positive Unlabeled Data with BGD. UAI (2018)
Long Chen, Fajie Yuan, Joemon M. Jose, Weinan Zhang
Improving Negative Sampling for Word Representation using Self-embedded Features. WSDM (2018)
Fajie Yuan, Alexandros Karatzoglou, Ioannis Arapakis, Joemon M. Jose, Xiangnan He
A Simple but Hard-to-Beat Baseline for Session-based Recommendations. CoRR (2018)
Jinhui Tang, Xiangnan He, Xiaoyu Du, Fajie Yuan, Qi Tian, Tat-Seng Chua
Adversarial Training Towards Robust Multimedia Recommender System. CoRR (2018)
Haitao Yu, Adam Jatowt, Roi Blanco, Hideo Joho, Joemon M. Jose, Long Chen, Fajie Yuan
Revisiting the cluster-based paradigm for implicit search result diversification. Inf. Process. Manag. 54 (4) (2018)
Fajie Yuan, Guibing Guo, Joemon M. Jose, Long Chen, Haitao Yu, Weinan Zhang
BoostFM: Boosted Factorization Machines for Top-N Feature-based Recommendation. IUI (2017)
Rami Suleiman Alkhawaldeh, Deepak P, Joemon M. Jose, Fajie Yuan
LTRo: Learning to Route Queries in Clustered P2P IR. ECIR (2017)
Haitao Yu, Adam Jatowt, Roi Blanco, Hideo Joho, Joemon M. Jose, Long Chen, Fajie Yuan
A Concise Integer Linear Programming Formulation for Implicit Search Result Diversification. WSDM (2017)
Long Chen, Fajie Yuan, Joemon M. Jose, Weinan Zhang
Improving Negative Sampling for Word Representation using Self-embedded Features. CoRR (2017)
Long Chen, Joemon M. Jose, Haitao Yu, Fajie Yuan
A Hybrid Approach for Question Retrieval in Community Question Answerin. Comput. J. 60 (7) (2017)
Long Chen, Joemon M. Jose, Haitao Yu, Fajie Yuan
A Semantic Graph-Based Approach for Mining Common Topics from Multiple Asynchronous Text Streams. WWW (2017)
Long Chen, Joemon M. Jose, Haitao Yu, Fajie Yuan, Dell Zhang
A Semantic Graph based Topic Model for Question Retrieval in Community Question Answering. WSDM (2016)
Fajie Yuan, Joemon M. Jose, Guibing Guo, Long Chen, Haitao Yu, Rami Suleiman Alkhawaldeh
Joint Geo-Spatial Preference and Pairwise Ranking for Point-of-Interest Recommendation. ICTAI (2016)
Long Chen, Haitao Yu, Fajie Yuan, Joemon M. Jose
GIR at the NTCIR-12 Temporalia Task. NTCIR (2016)
Haitao Yu, Adam Jatowt, Roi Blanco, Hideo Joho, Joemon M. Jose, Long Chen, Fajie Yuan
An In-Depth Study of Implicit Search Result Diversification. AIRS (2016)
Long Chen, Joemon M. Jose, Haitao Yu, Fajie Yuan, Huaizhi Zhang
Probabilistic Topic Modelling with Semantic Graph. ECIR (2016)
Fajie Yuan, Guibing Guo, Joemon M. Jose, Long Chen, Haitao Yu, Weinan Zhang
Optimizing Factorization Machines for Top-N Context-Aware Recommendations. WISE (1) (2016)
Fajie Yuan, Guibing Guo, Joemon M. Jose, Long Chen, Haitao Yu, Weinan Zhang
LambdaFM: Learning Optimal Ranking with Factorization Machines Using Lambda Surrogates. CIKM (2016)

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Publication Activity (10 Years)

Top Topics

Top Venues

Fajie Yuan