Fajie Yuan

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All published works

Action	Title	Year	Authors
+ PDF Chat	Breaking the Length Barrier: LLM-Enhanced CTR Prediction in Long Textual User Behaviors	2024	Binzong Geng Zhaoxin Huan Xiaolu Zhang Yong He Liang Zhang Fajie Yuan Jun Zhou Linjian Mo
+ PDF Chat	Multi-Modality is All You Need for Transferable Recommender Systems	2024	Youhua Li Hanwen Du Yongxin Ni Pengpeng Zhao Qi Guo Fajie Yuan Xiaofang Zhou
+ PDF Chat	Offline Trajectory Generalization for Offline Reinforcement Learning	2024	Ziqi Zhao Zhaochun Ren Yang Liu Fajie Yuan Pengjie Ren Zhumin Chen Jun Ma Xin Xin
+ PDF Chat	Breaking the Length Barrier: LLM-Enhanced CTR Prediction in Long Textual User Behaviors	2024	Binzong Geng Zhaoxin Huan Xiaolu Zhang Yong He Liang Zhang Fajie Yuan Jun Zhou Linjian Mo
+ PDF Chat	Empowering Sequential Recommendation from Collaborative Signals and Semantic Relatedness	2024	Mingyue Cheng Hao Zhang Qi Liu Fajie Yuan Zhi Li Zhenya Huang Enhong Chen Jun Zhou Longfei Li
+	Exploring Adapter-based Transfer Learning for Recommender Systems: Empirical Studies and Practical Insights	2024	Junchen Fu Fajie Yuan Yu Song Zheng Yuan Mingyue Cheng Shenghui Cheng Jiaqi Zhang Jie Wang Yunzhu Pan
+ PDF Chat	NineRec: A Benchmark Dataset Suite for Evaluating Transferable Recommendation	2024	Jiaqi Zhang Yu Cheng Yongxin Ni Yunzhu Pan Zheng Yuan Junchen Fu Youhua Li Jie Wang Fajie Yuan
+ PDF Chat	An Image Dataset for Benchmarking Recommender Systems with Raw Pixels	2024	Yu Cheng Yunzhu Pan Jiaqi Zhang Yongxin Ni Aixin Sun Fajie Yuan
+ PDF Chat	Where to Go Next for Recommender Systems? ID- vs. Modality-based Recommender Models Revisited	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	2023	Zheng Yuan Fajie Yuan Yu Song Youhua Li Junchen Fu Fei Yang Yunzhu Pan Yongxin Ni
+	Exploring the Upper Limits of Text-Based Collaborative Filtering Using Large Language Models: Discoveries and Insights	2023	R. X. Li Wenhao Deng Yu Cheng Zheng Yuan Jiaqi Zhang Fajie Yuan
+ PDF Chat	Scene-Adaptive Knowledge Distillation for Sequential Recommendation Via Differentiable Architecture Search	2023	Lei Chen Fajie Yuan Jiaxi Yang Min Yang Chengming Li
+	An Image Dataset for Benchmarking Recommender Systems with Raw Pixels	2023	Yu Cheng Yunzhu Pan Jiaqi Zhang Yongxin Ni Aixin Sun Fajie Yuan
+	NineRec: A Benchmark Dataset Suite for Evaluating Transferable Recommendation	2023	Jiaqi Zhang Yu Cheng Yongxin Ni Yunzhu Pan Yuan Zheng Junchen Fu Youhua Li Jie Wang Fajie Yuan
+	A Content-Driven Micro-Video Recommendation Dataset at Scale	2023	Yongxin Ni Yu Cheng Xiangyan Liu Junchen Fu Youhua Li Xiangnan He Yongfeng Zhang Fajie Yuan
+	FMMRec: Fairness-aware Multimodal Recommendation	2023	Weixin Chen Li Chen Yongxin Ni Yuhan Zhao Fajie Yuan Yongfeng Zhang
+	Hypergraph Node Representation Learning with One-Stage Message Passing	2023	Shilin Qu Weiqing Wang Yuan-Fang Li Xin Zhou Fajie Yuan
+	Multi-Modality is All You Need for Transferable Recommender Systems	2023	Youhua Li Hanwen Du Yongxin Ni Pengpeng Zhao Qi Guo Fajie Yuan Xiaofang Zhou
+ PDF Chat	Enhancing Top-N Item Recommendations by Peer Collaboration	2022	Yang Sun Fajie Yuan Min Yang Alexandros Karatzoglou Li Shen Xiaoyan Zhao
+ PDF Chat	Exploring evolution-based & -free protein language models as protein function predictors	2022	Mingyang Hu Fajie Yuan Kevin Yang Fusong Ju J. Su Hui Wang Fei Yang Qiuyang Ding
+ PDF Chat	CmnRec: Sequential Recommendations With Chunk-Accelerated Memory Network	2022	Shilin Qu Fajie Yuan Guibing Guo Liguang Zhang Wei Wei
+	TransRec: Learning Transferable Recommendation from Mixture-of-Modality Feedback	2022	Jie Wang Fajie Yuan Mingyue Cheng Joemon M. Jose Chenyun Yu Beibei Kong Zhijin Wang Bo Hu Li Zang
+	Exploring evolution-aware & -free protein language models as protein function predictors	2022	Mingyang Hu Fajie Yuan Kevin Yang Fusong Ju J. Su Hui Wang Fei Yang Qiuyang Ding
+	Tenrec: A Large-scale Multipurpose Benchmark Dataset for Recommender Systems	2022	Guanghu Yuan Fajie Yuan Yudong Li Beibei Kong Shujie Li Lei Chen Min Yang Chenyun YU Bo Hu Li Zang
+ PDF Chat	StackRec	2021	Jiachun Wang Fajie Yuan Jian Chen Qingyao Wu Min Yang Yang Sun Guoxiao Zhang
+ PDF Chat	Iterative Network Pruning with Uncertainty Regularization for Lifelong Sentiment Classification	2021	Binzong Geng Min Yang Fajie Yuan Shupeng Wang Xiang Ao Ruifeng Xu
+ PDF Chat	User-specific Adaptive Fine-tuning for Cross-domain Recommendations	2021	Lei Chen Fajie Yuan Jiaxi Yang Xiangnan He Chengming Li Min Yang
+	User-specific Adaptive Fine-tuning for Cross-domain Recommendations	2021	Lei Chen Fajie Yuan Jiaxi Yang Xiangnan He Chengming Li Min Yang
+	Continual Learning for Task-oriented Dialogue System with Iterative Network Pruning, Expanding and Masking	2021	Binzong Geng Fajie Yuan Qiancheng Xu Ying Shen Ruifeng Xu Min Yang
+	Scene-adaptive Knowledge Distillation for Sequential Recommendation via Differentiable Architecture Search	2021	Lei Chen Fajie Yuan Jiaxi Yang Min Yang Chengming Li
+	Continual Learning for Task-oriented Dialogue System with Iterative Network Pruning, Expanding and Masking	2021	Binzong Geng Fajie Yuan Qiancheng Xu Ying Shen Ruifeng Xu Min Yang
+	User-specific Adaptive Fine-tuning for Cross-domain Recommendations	2021	Lei Chen Fajie Yuan Jiaxi Yang Xiangnan He Chengming Li Min Yang
+	Enhancing Top-N Item Recommendations by Peer Collaboration	2021	Yang Sun Fajie Yuan Min Yang Alexandros Karatzoglou Shen Li Zhao Xiaoyan
+ PDF Chat	A Generic Network Compression Framework for Sequential Recommender Systems	2020	Yang Sun Fajie Yuan Min Yang Guoao Wei Zhao Zhou Duo Liu
+ PDF Chat	Parameter-Efficient Transfer from Sequential Behaviors for User Modeling and Recommendation	2020	Fajie Yuan Xiangnan He Alexandros Karatzoglou Liguang Zhang
+ PDF Chat	CmnRec: Sequential Recommendations with Chunk-accelerated Memory Network	2020	Shilin Qu Fajie Yuan Guibing Guo Liguang Zhang Wei Wei
+ PDF Chat	Future Data Helps Training: Modeling Future Contexts for Session-based Recommendation	2020	Fajie Yuan Xiangnan He Haochuan Jiang Guibing Guo Jian Xiong Zhezhao Xu Yilin Xiong
+	Parameter-Efficient Transfer from Sequential Behaviors for User Modeling and Recommendation	2020	Fajie Yuan Xiangnan He Alexandros Karatzoglou Liguang Zhang
+	A Generic Network Compression Framework for Sequential Recommender Systems	2020	Yang Sun Fajie Yuan Ming Yang Guoao Wei Zhao Zhou Duo Liu
+	One Person, One Model, One World: Learning Continual User Representation without Forgetting	2020	Fajie Yuan Guoxiao Zhang Alexandros Karatzoglou Xiangnan He Joemon M. Jose Beibei Kong Yudong Li
+ PDF Chat	Modeling Embedding Dimension Correlations via Convolutional Neural Collaborative Filtering	2019	Xiaoyu Du Xiangnan He Fajie Yuan Jinhui Tang Zhiguang Qin Tat‐Seng Chua
+	Modeling the Past and Future Contexts for Session-based Recommendation.	2019	Fajie Yuan Xiangnan He Guibing Guo Zhezhao Xu Jian Xiong Xiuqiang He
+ PDF Chat	A Simple Convolutional Generative Network for Next Item Recommendation	2019	Fajie Yuan Alexandros Karatzoglou Ioannis Arapakis Joemon M. Jose Xiangnan He
+ PDF Chat	Adversarial Training Towards Robust Multimedia Recommender System	2019	Jinhui Tang Xiaoyu Du Xiangnan He Fajie Yuan Qi Tian Tat‐Seng Chua
+	Modeling Embedding Dimension Correlations via Convolutional Neural Collaborative Filtering	2019	Xiaoyu Du Xiangnan He Fajie Yuan Jinhui Tang Zhiguang Qin Tat‐Seng Chua
+	Future Data Helps Training: Modeling Future Contexts for Session-based Recommendation	2019	Fajie Yuan Xiangnan He Haochuan Jiang Guibing Guo Jian Xiong Zhezhao Xu Yilin Xiong
+	A Simple but Hard-to-Beat Baseline for Session-based Recommendations.	2018	Fajie Yuan Alexandros Karatzoglou Ioannis Arapakis Joemon M. Jose Xiangnan He
+ PDF Chat	VSE-ens: Visual-Semantic Embeddings with Efficient Negative Sampling	2018	Guibing Guo Songlin Zhai Fajie Yuan Yuan Liu Xingwei Wang
+	Improving Negative Sampling for Word Representation using Self-embedded Features	2018	Long Chen Fajie Yuan Joemon M. Jose Weinan Zhang
+	Adversarial Training Towards Robust Multimedia Recommender System	2018	Jinhui Tang Xiaoyu Du Xiangnan He Fajie Yuan Qi Tian Tat‐Seng Chua
+	A Simple Convolutional Generative Network for Next Item Recommendation	2018	Fajie Yuan Alexandros Karatzoglou Ioannis Arapakis Joemon M. Jose Xiangnan He
+	VSE-ens: Visual-Semantic Embeddings with Efficient Negative Sampling	2018	Guibing Guo Songlin Zhai Fajie Yuan Yuan Liu Xingwei Wang
+	Improving Negative Sampling for Word Representation using Self-embedded Features	2017	Long Chen Fajie Yuan Joemon M. Jose Weinan Zhang

Common Coauthors

Coauthor	Papers Together
Xiangnan He	17
Yongxin Ni	8
Alexandros Karatzoglou	7
Youhua Li	7
Guibing Guo	7
Yunzhu Pan	7
Joemon M. Jose	7
Junchen Fu	6
Min Yang	6
Zheng Yuan	5
Jiaqi Zhang	5
Binzong Geng	5
Chengming Li	5
Lei Chen	4
Jinhui Tang	4
Yang Sun	4
Min Yang	4
Tat‐Seng Chua	4
Xiaoyu Du	4
Zhezhao Xu	3
Jiaxi Yang	3
Yu Song	3
Ioannis Arapakis	3
Jian Xiong	3
Liguang Zhang	3
Min Yang	3
Ruifeng Xu	3
Long Chen	2
Guoxiao Zhang	2
Lei Chen	2
Songlin Zhai	2
Yongfeng Zhang	2
Haochuan Jiang	2
Kevin Yang	2
Xingwei Wang	2
Yudong Li	2
Fei Yang	2
Shilin Qu	2
Mingyue Cheng	2
Weinan Zhang	2
Yilin Xiong	2
Mingyang Hu	2
Yongxin Ni	2
Qiancheng Xu	2
Yu Cheng	2
Qiuyang Ding	2
Beibei Kong	2
Ying Shen	2
Li Zang	2
Jun Zhou	2

Commonly Cited References

Action	Title	Year	Authors	# of times referenced
+ PDF Chat	A Simple Convolutional Generative Network for Next Item Recommendation	2019	Fajie Yuan Alexandros Karatzoglou Ioannis Arapakis Joemon M. Jose Xiangnan He	19
+ PDF Chat	Personalized Top-N Sequential Recommendation via Convolutional Sequence Embedding	2018	Jiaxi Tang Ke Wang	18
+ PDF Chat	Self-Attentive Sequential Recommendation	2018	Wang-Cheng Kang Julian McAuley	15
+	BPR: Bayesian Personalized Ranking from Implicit Feedback	2012	Steffen Rendle Christoph Freudenthaler Zeno Gantner Lars Schmidt-Thieme	12
+ PDF Chat	Deep Residual Learning for Image Recognition	2016	Kaiming He Xiangyu Zhang Shaoqing Ren Jian Sun	12
+ PDF Chat	Parameter-Efficient Transfer from Sequential Behaviors for User Modeling and Recommendation	2020	Fajie Yuan Xiangnan He Alexandros Karatzoglou Liguang Zhang	12
+ PDF Chat	Improved Recurrent Neural Networks for Session-based Recommendations	2016	Yong Tan Xinxing Xu Yong Liu	12
+	Neural Collaborative Filtering	2017	Xiangnan He Lizi Liao Hanwang Zhang Liqiang Nie Xia Hu Tat‐Seng Chua	10
+ PDF Chat	Future Data Helps Training: Modeling Future Contexts for Session-based Recommendation	2020	Fajie Yuan Xiangnan He Haochuan Jiang Guibing Guo Jian Xiong Zhezhao Xu Yilin Xiong	9
+ PDF Chat	Neural Factorization Machines for Sparse Predictive Analytics	2017	Xiangnan He Tat‐Seng Chua	9
+ PDF Chat	Recurrent Neural Networks with Top-k Gains for Session-based Recommendations	2018	Balázs Hidasi Alexandros Karatzoglou	8
+ PDF Chat	Adversarial Personalized Ranking for Recommendation	2018	Xiangnan He Zhankui He Xiaoyu Du Tat‐Seng Chua	8
+	Session-based Recommendations with Recurrent Neural Networks	2015	Balázs Hidasi Alexandros Karatzoglou Linas Baltrunas Domonkos Tikk	8
+ PDF Chat	A Generic Network Compression Framework for Sequential Recommender Systems	2020	Yang Sun Fajie Yuan Min Yang Guoao Wei Zhao Zhou Duo Liu	7
+ PDF Chat	VBPR: Visual Bayesian Personalized Ranking from Implicit Feedback	2016	Ruining He Julian McAuley	7
+ PDF Chat	Fast Matrix Factorization for Online Recommendation with Implicit Feedback	2016	Xiangnan He Hanwang Zhang Min‐Yen Kan Tat‐Seng Chua	7
+ PDF Chat	Neural Attentive Session-based Recommendation	2017	Jing Li Pengjie Ren Zhumin Chen Zhaochun Ren Tao Lian Jun Ma	7
+ PDF Chat	Personalizing Session-based Recommendations with Hierarchical Recurrent Neural Networks	2017	Massimo Quadrana Alexandros Karatzoglou Balázs Hidasi Paolo Cremonesi	7
+	Attention is All you Need	2017	Ashish Vaswani Noam Shazeer Niki Parmar Jakob Uszkoreit Llion Jones Aidan N. Gomez Łukasz Kaiser Illia Polosukhin	6
+	One Person, One Model, One World: Learning Continual User Representation without Forgetting	2020	Fajie Yuan Guoxiao Zhang Alexandros Karatzoglou Xiangnan He Joemon M. Jose Beibei Kong Yudong Li	6
+	On Using Very Large Target Vocabulary for Neural Machine Translation	2015	Sébastien Jean Kyunghyun Cho Roland Memisevic Yoshua Bengio	5
+ PDF Chat	CoNet	2018	Guangneng Hu Yu Zhang Qiang Yang	5
+ PDF Chat	Towards Neural Mixture Recommender for Long Range Dependent User Sequences	2019	Jiaxi Tang Francois Belletti Sagar Jain Minmin Chen Alex Beutel Can Xu Ed H.	5
+	BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding	2018	Jacob Devlin Ming‐Wei Chang Kenton Lee Kristina Toutanova	5
+	A Generic Network Compression Framework for Sequential Recommender Systems	2020	Yang Sun Fajie Yuan Ming Yang Guoao Wei Zhao Zhou Duo Liu	4
+	ALBERT: A Lite BERT for Self-supervised Learning of Language Representations	2019	Zhenzhong Lan Mingda Chen Sebastian Goodman Kevin Gimpel Piyush Sharma Radu Soricut	4
+ PDF Chat	Fusing Similarity Models with Markov Chains for Sparse Sequential Recommendation	2016	Ruining He Julian McAuley	4
+	Continual lifelong learning with neural networks: A review	2019	German I. Parisi Ronald Kemker Jose L. Part Christopher Kanan Stefan Wermter	4
+ PDF Chat	Piggyback: Adapting a Single Network to Multiple Tasks by Learning to Mask Weights	2018	Arun Mallya Dillon Davis Svetlana Lazebnik	4
+ PDF Chat	NAIS: Neural Attentive Item Similarity Model for Recommendation	2018	Xiangnan He Zhankui He Jingkuan Song Zhenguang Liu Yu–Gang Jiang Tat‐Seng Chua	4
+ PDF Chat	PackNet: Adding Multiple Tasks to a Single Network by Iterative Pruning	2018	Arun Mallya Svetlana Lazebnik	4
+	Session-based Recommendations with Recurrent Neural Networks	2015	Balázs Hidasi Alexandros Karatzoglou Linas Baltrunas Domonkos Tikk	4
+ PDF Chat	Hierarchical Gating Networks for Sequential Recommendation	2019	Chen Ma Peng Kang Xue Liu	4
+ PDF Chat	Densely Connected Convolutional Networks	2017	Gao Huang Zhuang Liu Laurens van der Maaten Kilian Q. Weinberger	4
+	Attention Is All You Need	2017	Ashish Vaswani Noam Shazeer Niki Parmar Jakob Uszkoreit Llion Jones Aidan N. Gomez Łukasz Kaiser Illia Polosukhin	4
+ PDF Chat	IRGAN	2017	Jun Wang Lantao Yu Weinan Zhang Yu Gong Yinghui Xu Benyou Wang Peng Zhang Dell Zhang	4
+	Neural Machine Translation in Linear Time	2016	Nal Kalchbrenner Lasse Espeholt Karen Simonyan Aäron van den Oord Alexander Graves Koray Kavukcuoglu	4
+ PDF Chat	StackRec	2021	Jiachun Wang Fajie Yuan Jian Chen Qingyao Wu Min Yang Yang Sun Guoxiao Zhang	4
+	Distilling the Knowledge in a Neural Network	2015	Geoffrey E. Hinton Oriol Vinyals Jay B. Dean	4
+ PDF Chat	Contextual Sequence Modeling for Recommendation with Recurrent Neural Networks	2017	Elena Smirnova Flavian Vasile	4
+ PDF Chat	Towards Universal Sequence Representation Learning for Recommender Systems	2022	Yupeng Hou Shanlei Mu Wayne Xin Zhao Yaliang Li Bolin Ding Ji-Rong Wen	4
+	DeepFM: A Factorization-Machine based Neural Network for CTR Prediction	2017	Huifeng Guo Ruiming Tang Yunming Ye Zhenguo Li Xiuqiang He	4
+	RoBERTa: A Robustly Optimized BERT Pretraining Approach	2019	Yinhan Liu Myle Ott Naman Goyal Jingfei Du Mandar Joshi Danqi Chen Omer Levy Mike Lewis Luke Zettlemoyer Veselin Stoyanov	3
+	Multi-Scale Context Aggregation by Dilated Convolutions	2015	Fisher Yu Vladlen Koltun	3
+	Conditional Image Generation with PixelCNN Decoders	2016	Aäron van den Oord Nal Kalchbrenner Oriol Vinyals Lasse Espeholt Alex Graves Koray Kavukcuoglu	3
+ PDF Chat	Contextual Hybrid Session-Based News Recommendation With Recurrent Neural Networks	2019	Gabriel de Souza Pereira Moreira Dietmar Jannach Adilson Marques da Cunha	3
+ PDF Chat	Efficient Parametrization of Multi-domain Deep Neural Networks	2018	Sylvestre-Alvise Rebuffi Andrea Vedaldi Hakan Bilen	3
+ PDF Chat	A Generic Coordinate Descent Framework for Learning from Implicit Feedback	2017	Immanuel Bayer Xiangnan He Bhargav Kanagal Steffen Rendle	3
+	Dense Prediction on Sequences with Time-Dilated Convolutions for Speech Recognition	2016	Tom Sercu Vaibhava Goel	3
+	Convolutional Sequence to Sequence Learning	2017	Jonas Gehring Michael Auli David Grangier Denis Yarats Yann Dauphin	3