Fajie Yuan - RankMe

89 papers A* 21A 13B 1Journal 45Unranked 8

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	Hypergraph node representation learning with one-stage message passing. Neural Networks Shilin Qu, Weiqing Wang, Yuan-Fang Li, Xin Zhou, Fajie Yuan
2026	J	`jnl`	U-Fold: Dynamic Intent-Aware Context Folding for User-Centric Agents. CoRR Jin Su, Runnan Fang, Yeqiu Li, Xiaobin Wang, Shihao Cai, Pengjun Xie, Ningyu Zhang, Fajie Yuan
2025	A	`conf`	A Content-Driven Micro-Video Recommendation Dataset at Scale. CIKM Yongxin Ni, Yu Cheng, Xiangyan Liu, Junchen Fu, Youhua Li, Xiangnan He, Yongfeng Zhang, Fajie Yuan
2025	A	`conf`	Exploring the Upper Limits of Text-Based Collaborative Filtering Using Large Language Models: Discoveries and Insights. CIKM Ruyu Li, Wenhao Deng, Yu Cheng, Zheng Yuan, Jiaqi Zhang, Fajie Yuan
2025	J	`jnl`	LeanVAE: An Ultra-Efficient Reconstruction VAE for Video Diffusion Models. CoRR Yu Cheng, Fajie Yuan
2025	J	`jnl`	NineRec: A Benchmark Dataset Suite for Evaluating Transferable Recommendation. IEEE Trans. Pattern Anal. Mach. Intell. Jiaqi Zhang, Yu Cheng, Yongxin Ni, Yunzhu Pan, Zheng Yuan, Junchen Fu, Youhua Li, Jie Wang, Fajie Yuan
2025	—	`conf`	Offline Trajectory Optimization for Offline Reinforcement Learning. KDD (2) Ziqi Zhao, Zhaochun Ren, Liu Yang, Yunsen Liang, Fajie Yuan, Pengjie Ren, Zhumin Chen, Jun Ma, Xin Xin
2025	J	`jnl`	VARD: Efficient and Dense Fine-Tuning for Diffusion Models with Value-based RL. CoRR Fengyuan Dai, Zifeng Zhuang, Yufei Huang, Siteng Huang, Bangyan Liao, Donglin Wang, Fajie Yuan
2024	A	`conf`	An Image Dataset for Benchmarking Recommender Systems with Raw Pixels. SDM Yu Cheng, Yunzhu Pan, Jiaqi Zhang, Yongxin Ni, Aixin Sun, Fajie Yuan
2024	A*	`conf`	Breaking the Length Barrier: LLM-Enhanced CTR Prediction in Long Textual User Behaviors. SIGIR Binzong Geng, Zhaoxin Huan, Xiaolu Zhang, Yong He, Liang Zhang, Fajie Yuan, Jun Zhou, Linjian Mo
2024	J	`jnl`	Breaking the Length Barrier: LLM-Enhanced CTR Prediction in Long Textual User Behaviors. CoRR Binzong Geng, Zhaoxin Huan, Xiaolu Zhang, Yong He, Liang Zhang, Fajie Yuan, Jun Zhou, Linjian Mo
2024	—	`conf`	Empowering Sequential Recommendation from Collaborative Signals and Semantic Relatedness. DASFAA (3) Mingyue Cheng, Hao Zhang, Qi Liu, Fajie Yuan, Zhi Li, Zhenya Huang, Enhong Chen, Jun Zhou, Longfei Li
2024	J	`jnl`	Empowering Sequential Recommendation from Collaborative Signals and Semantic Relatedness. CoRR Mingyue Cheng, Hao Zhang, Qi Liu, Fajie Yuan, Zhi Li, Zhenya Huang, Enhong Chen, Jun Zhou, Longfei Li
2024	A	`conf`	Exploring Adapter-based Transfer Learning for Recommender Systems: Empirical Studies and Practical Insights. WSDM Junchen Fu, Fajie Yuan, Yu Song, Zheng Yuan, Mingyue Cheng, Shenghui Cheng, Jiaqi Zhang, Jie Wang, Yunzhu Pan
2024	A*	`conf`	Exploring Multi-Scenario Multi-Modal CTR Prediction with a Large Scale Dataset. SIGIR 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
2024	J	`jnl`	Highly accurate classification and discovery of microbial protein-coding gene functions using FunGeneTyper: an extensible deep learning framework. Briefings Bioinform. Guoqing Zhang, Hui Wang, Zhiguo Zhang, Lu Zhang, Guibing Guo, Jian Yang, Fajie Yuan, Feng Ju
2024	A*	`conf`	Multi-Modality is All You Need for Transferable Recommender Systems. ICDE Youhua Li, Hanwen Du, Yongxin Ni, Pengpeng Zhao, Qi Guo, Fajie Yuan, Xiaofang Zhou
2024	J	`jnl`	Offline Trajectory Generalization for Offline Reinforcement Learning. CoRR Ziqi Zhao, Zhaochun Ren, Liu Yang, Fajie Yuan, Pengjie Ren, Zhumin Chen, Jun Ma, Xin Xin
2024	A*	`conf`	SaProt: Protein Language Modeling with Structure-aware Vocabulary. ICLR Jin Su, Chenchen Han, Yuyang Zhou, Junjie Shan, Xibin Zhou, Fajie Yuan
2024	—	`conf`	TransRec: Learning Transferable Recommendation from Mixture-of-Modality Feedback. APWeb/WAIM (2) Jie Wang, Fajie Yuan, Mingyue Cheng, Joemon M. Jose, Chenyun Yu, Beibei Kong, Zhijin Wang, Bo Hu, Zang Li
2023	J	`jnl`	A Content-Driven Micro-Video Recommendation Dataset at Scale. CoRR Yongxin Ni, Yu Cheng, Xiangyan Liu, Junchen Fu, Youhua Li, Xiangnan He, Yongfeng Zhang, Fajie Yuan
2023	J	`jnl`	An Image Dataset for Benchmarking Recommender Systems with Raw Pixels. CoRR Yu Cheng, Yunzhu Pan, Jiaqi Zhang, Yongxin Ni, Aixin Sun, Fajie Yuan
2023	J	`jnl`	CmnRec: Sequential Recommendations With Chunk-Accelerated Memory Network. IEEE Trans. Knowl. Data Eng. Shilin Qu, Fajie Yuan, Guibing Guo, Liguang Zhang, Wei Wei
2023	J	`jnl`	Exploring Adapter-based Transfer Learning for Recommender Systems: Empirical Studies and Practical Insights. CoRR Junchen Fu, Fajie Yuan, Yu Song, Zheng Yuan, Mingyue Cheng, Shenghui Cheng, Jiaqi Zhang, Jie Wang, Yunzhu Pan
2023	J	`jnl`	Exploring the Upper Limits of Text-Based Collaborative Filtering Using Large Language Models: Discoveries and Insights. CoRR Ruyu Li, Wenhao Deng, Yu Cheng, Zheng Yuan, Jiaqi Zhang, Fajie Yuan
2023	J	`jnl`	FMMRec: Fairness-aware Multimodal Recommendation. CoRR Weixin Chen, Li Chen, Yongxin Ni, Yuhan Zhao, Fajie Yuan, Yongfeng Zhang
2023	J	`jnl`	Hypergraph Node Representation Learning with One-Stage Message Passing. CoRR Shilin Qu, Weiqing Wang, Yuan-Fang Li, Xin Zhou, Fajie Yuan
2023	J	`jnl`	Lifelong language learning with adaptive uncertainty regularization. Inf. Sci. Lei Zhang, Shupeng Wang, Fajie Yuan, Binzong Geng, Min Yang
2023	J	`jnl`	Multi-Modality is All You Need for Transferable Recommender Systems. CoRR Youhua Li, Hanwen Du, Yongxin Ni, Pengpeng Zhao, Qi Guo, Fajie Yuan, Xiaofang Zhou
2023	J	`jnl`	NineRec: A Benchmark Dataset Suite for Evaluating Transferable Recommendation. CoRR Jiaqi Zhang, Yu Cheng, Yongxin Ni, Yunzhu Pan, Zheng Yuan, Junchen Fu, Youhua Li, Jie Wang, Fajie Yuan
2023	J	`jnl`	User-Specific Adaptive Fine-Tuning for Cross-Domain Recommendations. IEEE Trans. Knowl. Data Eng. Lei Chen, Fajie Yuan, Jiaxi Yang, Xiangnan He, Chengming Li, Min Yang
2023	A*	`conf`	Where to Go Next for Recommender Systems? ID- vs. Modality-based Recommender Models Revisited. SIGIR Zheng Yuan, Fajie Yuan, Yu Song, Youhua Li, Junchen Fu, Fei Yang, Yunzhu Pan, Yongxin Ni
2023	J	`jnl`	Where to Go Next for Recommender Systems? ID- vs. Modality-based recommender models revisited. CoRR Zheng Yuan, Fajie Yuan, Yu Song, Youhua Li, Junchen Fu, Fei Yang, Yunzhu Pan, Yongxin Ni
2022	A*	`conf`	Enhancing Top-N Item Recommendations by Peer Collaboration. SIGIR Yang Sun, Fajie Yuan, Min Yang, Alexandros Karatzoglou, Li Shen, Xiaoyan Zhao
2022	A*	`conf`	Exploring evolution-aware & -free protein language models as protein function predictors. NeurIPS Mingyang Hu, Fajie Yuan, Kevin Yang, Fusong Ju, Jin Su, Hui Wang, Fei Yang, Qiuyang Ding
2022	J	`jnl`	Exploring evolution-based & -free protein language models as protein function predictors. CoRR Mingyang Hu, Fajie Yuan, Kevin K. Yang, Fusong Ju, Jin Su, Hui Wang, Fei Yang, Qiuyang Ding
2022	A*	`conf`	Tenrec: A Large-scale Multipurpose Benchmark Dataset for Recommender Systems. NeurIPS Guanghu Yuan, Fajie Yuan, Yudong Li, Beibei Kong, Shujie Li, Lei Chen, Min Yang, Chenyun Yu, Bo Hu, Zang Li, Yu Xu, Xiaohu Qie
2022	J	`jnl`	Tenrec: A Large-scale Multipurpose Benchmark Dataset for Recommender Systems. CoRR Guanghu Yuan, Fajie Yuan, Yudong Li, Beibei Kong, Shujie Li, Lei Chen, Min Yang, Chenyun Yu, Bo Hu, Zang Li, Yu Xu, Xiaohu Qie
2022	J	`jnl`	TransRec: Learning Transferable Recommendation from Mixture-of-Modality Feedback. CoRR Jie Wang, Fajie Yuan, Mingyue Cheng, Joemon M. Jose, Chenyun Yu, Beibei Kong, Zhijin Wang, Bo Hu, Zang Li
2021	A*	`conf`	A User-Adaptive Layer Selection Framework for Very Deep Sequential Recommender Models. AAAI Lei Chen, Fajie Yuan, Jiaxi Yang, Xiang Ao, Chengming Li, Min Yang
2021	—	`conf`	Continual Learning for Task-oriented Dialogue System with Iterative Network Pruning, Expanding and Masking. ACL/IJCNLP (2) Binzong Geng, Fajie Yuan, Qiancheng Xu, Ying Shen, Ruifeng Xu, Min Yang
2021	J	`jnl`	Continual Learning for Task-oriented Dialogue System with Iterative Network Pruning, Expanding and Masking. CoRR Binzong Geng, Fajie Yuan, Qiancheng Xu, Ying Shen, Ruifeng Xu, Min Yang
2021	J	`jnl`	Enhancing Top-N Item Recommendations by Peer Collaboration. CoRR Yang Sun, Fajie Yuan, Min Yang, Alexandros Karatzoglou, Shen Li, Xiaoyan Zhao
2021	A*	`conf`	Iterative Network Pruning with Uncertainty Regularization for Lifelong Sentiment Classification. SIGIR Binzong Geng, Min Yang, Fajie Yuan, Shupeng Wang, Xiang Ao, Ruifeng Xu
2021	J	`jnl`	Iterative Network Pruning with Uncertainty Regularization for Lifelong Sentiment Classification. CoRR Binzong Geng, Min Yang, Fajie Yuan, Shupeng Wang, Xiang Ao, Ruifeng Xu
2021	A*	`conf`	Learning Recommender Systems with Implicit Feedback via Soft Target Enhancement. SIGIR Mingyue Cheng, Fajie Yuan, Qi Liu, Shenyang Ge, Zhi Li, Runlong Yu, Defu Lian, Senchao Yuan, Enhong Chen
2021	A*	`conf`	Learning Transferable User Representations with Sequential Behaviors via Contrastive Pre-training. ICDM Mingyue Cheng, Fajie Yuan, Qi Liu, Xin Xin, Enhong Chen
2021	A*	`conf`	One Person, One Model, One World: Learning Continual User Representation without Forgetting. SIGIR Fajie Yuan, Guoxiao Zhang, Alexandros Karatzoglou, Joemon M. Jose, Beibei Kong, Yudong Li
2021	J	`jnl`	Scene-adaptive Knowledge Distillation for Sequential Recommendation via Differentiable Architecture Search. CoRR Lei Chen, Fajie Yuan, Jiaxi Yang, Min Yang, Chengming Li
2021	A*	`conf`	StackRec: Efficient Training of Very Deep Sequential Recommender Models by Iterative Stacking. SIGIR Jiachun Wang, Fajie Yuan, Jian Chen, Qingyao Wu, Min Yang, Yang Sun, Guoxiao Zhang
2021	J	`jnl`	User-specific Adaptive Fine-tuning for Cross-domain Recommendations. CoRR Lei Chen, Fajie Yuan, Jiaxi Yang, Xiangnan He, Chengming Li, Min Yang
2021	J	`jnl`	VSE-fs: Fast Full-Sample Visual Semantic Embedding. IEEE Intell. Syst. Songlin Zhai, Guibing Guo, Fajie Yuan, Yuan Liu, Xingwei Wang
2020	A*	`conf`	A Generic Network Compression Framework for Sequential Recommender Systems. SIGIR Yang Sun, Fajie Yuan, Min Yang, Guoao Wei, Zhou Zhao, Duo Liu
2020	J	`jnl`	A Generic Network Compression Framework for Sequential Recommender Systems. CoRR Yang Sun, Fajie Yuan, Min Yang, Guoao Wei, Zhou Zhao, Duo Liu
2020	J	`jnl`	Adversarial Training Towards Robust Multimedia Recommender System. IEEE Trans. Knowl. Data Eng. Jinhui Tang, Xiaoyu Du, Xiangnan He, Fajie Yuan, Qi Tian, Tat-Seng Chua
2020	J	`jnl`	CmnRec: Sequential Recommendations with Chunk-accelerated Memory Network. CoRR Shilin Qu, Fajie Yuan, Guibing Guo, Liguang Zhang, Wei Wei
2020	A*	`conf`	Future Data Helps Training: Modeling Future Contexts for Session-based Recommendation. WWW Fajie Yuan, Xiangnan He, Haochuan Jiang, Guibing Guo, Jian Xiong, Zhezhao Xu, Yilin Xiong
2020	J	`jnl`	One Person, One Model, One World: Learning Continual User Representation without Forgetting. CoRR Fajie Yuan, Guoxiao Zhang, Alexandros Karatzoglou, Joemon M. Jose, Beibei Kong, Yudong Li
2020	A*	`conf`	Parameter-Efficient Transfer from Sequential Behaviors for User Modeling and Recommendation. SIGIR Fajie Yuan, Xiangnan He, Alexandros Karatzoglou, Liguang Zhang
2020	J	`jnl`	Parameter-Efficient Transfer from Sequential Behaviors for User Profiling and Recommendation. CoRR Fajie Yuan, Xiangnan He, Alexandros Karatzoglou, Liguang Zhang
2020	J	`jnl`	StackRec: Efficient Training of Very Deep Sequential Recommender Models by Layer Stacking. CoRR Jiachun Wang, Fajie Yuan, Jian Chen, Qingyao Wu, Chengming Li, Min Yang, Yang Sun, Guoxiao Zhang
2019	A	`conf`	A Simple Convolutional Generative Network for Next Item Recommendation. WSDM Fajie Yuan, Alexandros Karatzoglou, Ioannis Arapakis, Joemon M. Jose, Xiangnan He
2019	A*	`conf`	Dynamic Item Block and Prediction Enhancing Block for Sequential Recommendation. IJCAI Guibing Guo, Shichang Ouyang, Xiaodong He, Fajie Yuan, Xiaohua Liu
2019	J	`jnl`	Modeling Embedding Dimension Correlations via Convolutional Neural Collaborative Filtering. CoRR Xiaoyu Du, Xiangnan He, Fajie Yuan, Jinhui Tang, Zhiguang Qin, Tat-Seng Chua
2019	J	`jnl`	Modeling Embedding Dimension Correlations via Convolutional Neural Collaborative Filtering. ACM Trans. Inf. Syst. Xiaoyu Du, Xiangnan He, Fajie Yuan, Jinhui Tang, Zhiguang Qin, Tat-Seng Chua
2019	J	`jnl`	Modeling the Past and Future Contexts for Session-based Recommendation. CoRR Fajie Yuan, Xiangnan He, Guibing Guo, Zhezhao Xu, Jian Xiong, Xiuqiang He
2018	J	`jnl`	A Simple but Hard-to-Beat Baseline for Session-based Recommendations. CoRR Fajie Yuan, Alexandros Karatzoglou, Ioannis Arapakis, Joemon M. Jose, Xiangnan He
2018	J	`jnl`	Adversarial Training Towards Robust Multimedia Recommender System. CoRR Jinhui Tang, Xiangnan He, Xiaoyu Du, Fajie Yuan, Qi Tian, Tat-Seng Chua
2018	A*	`conf`	Approximating Word Ranking and Negative Sampling for Word Embedding. IJCAI Guibing Guo, Shichang Ouyang, Fajie Yuan, Xingwei Wang
2018	—	`conf`	Batch IS NOT Heavy: Learning Word Representations From All Samples. ACL (1) Xin Xin, Fajie Yuan, Xiangnan He, Joemon M. Jose
2018	A	`conf`	Improving Negative Sampling for Word Representation using Self-embedded Features. WSDM Long Chen, Fajie Yuan, Joemon M. Jose, Weinan Zhang
2018	—	`—`	Learning implicit recommenders from massive unobserved feedback. Fajie Yuan
2018	J	`jnl`	Revisiting the cluster-based paradigm for implicit search result diversification. Inf. Process. Manag. Haitao Yu, Adam Jatowt, Roi Blanco, Hideo Joho, Joemon M. Jose, Long Chen, Fajie Yuan
2018	A*	`conf`	VSE-ens: Visual-Semantic Embeddings with Efficient Negative Sampling. AAAI Guibing Guo, Songlin Zhai, Fajie Yuan, Yuan Liu, Xingwei Wang
2018	J	`jnl`	VSE-ens: Visual-Semantic Embeddings with Efficient Negative Sampling. CoRR Guibing Guo, Songlin Zhai, Fajie Yuan, Yuan Liu, Xingwei Wang
2018	A	`conf`	f UAI Fajie Yuan, Xin Xin, Xiangnan He, Guibing Guo, Weinan Zhang, Tat-Seng Chua, Joemon M. Jose
2017	A	`conf`	A Concise Integer Linear Programming Formulation for Implicit Search Result Diversification. WSDM Haitao Yu, Adam Jatowt, Roi Blanco, Hideo Joho, Joemon M. Jose, Long Chen, Fajie Yuan
2017	J	`jnl`	A Hybrid Approach for Question Retrieval in Community Question Answerin. Comput. J. Long Chen, Joemon M. Jose, Haitao Yu, Fajie Yuan
2017	A*	`conf`	A Semantic Graph-Based Approach for Mining Common Topics from Multiple Asynchronous Text Streams. WWW Long Chen, Joemon M. Jose, Haitao Yu, Fajie Yuan
2017	A	`conf`	BoostFM: Boosted Factorization Machines for Top-N Feature-based Recommendation. IUI Fajie Yuan, Guibing Guo, Joemon M. Jose, Long Chen, Haitao Yu, Weinan Zhang
2017	J	`jnl`	Improving Negative Sampling for Word Representation using Self-embedded Features. CoRR Long Chen, Fajie Yuan, Joemon M. Jose, Weinan Zhang
2017	A	`conf`	LTRo: Learning to Route Queries in Clustered P2P IR. ECIR Rami Suleiman Alkhawaldeh, Deepak P, Joemon M. Jose, Fajie Yuan
2016	A	`conf`	A Semantic Graph based Topic Model for Question Retrieval in Community Question Answering. WSDM Long Chen, Joemon M. Jose, Haitao Yu, Fajie Yuan, Dell Zhang
2016	—	`conf`	An In-Depth Study of Implicit Search Result Diversification. AIRS Haitao Yu, Adam Jatowt, Roi Blanco, Hideo Joho, Joemon M. Jose, Long Chen, Fajie Yuan
2016	—	`conf`	GIR at the NTCIR-12 Temporalia Task. NTCIR Long Chen, Haitao Yu, Fajie Yuan, Joemon M. Jose
2016	B	`conf`	Joint Geo-Spatial Preference and Pairwise Ranking for Point-of-Interest Recommendation. ICTAI Fajie Yuan, Joemon M. Jose, Guibing Guo, Long Chen, Haitao Yu, Rami Suleiman Alkhawaldeh
2016	A	`conf`	LambdaFM: Learning Optimal Ranking with Factorization Machines Using Lambda Surrogates. CIKM Fajie Yuan, Guibing Guo, Joemon M. Jose, Long Chen, Haitao Yu, Weinan Zhang
2016	—	`conf`	Optimizing Factorization Machines for Top-N Context-Aware Recommendations. WISE (1) Fajie Yuan, Guibing Guo, Joemon M. Jose, Long Chen, Haitao Yu, Weinan Zhang
2016	A	`conf`	Probabilistic Topic Modelling with Semantic Graph. ECIR Long Chen, Joemon M. Jose, Haitao Yu, Fajie Yuan, Huaizhi Zhang