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Fajie Yuan
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2020 – today
- 2024
- [j9]Guoqing Zhang, Hui Wang, Zhiguo Zhang, Lu Zhang
, Guibing Guo, Jian Yang
Highly accurate classification and discovery of microbial protein-coding gene functions using FunGeneTyper: an extensible deep learning framework. Briefings Bioinform. 25(4) (2024) - [c39]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. APWeb/WAIM (2) 2024: 193-208 - [c38]Youhua Li, Hanwen Du
Multi-Modality is All You Need for Transferable Recommender Systems. ICDE 2024: 5008-5021 - [c37]Jin Su, Chenchen Han, Yuyang Zhou, Junjie Shan, Xibin Zhou, Fajie Yuan:
SaProt: Protein Language Modeling with Structure-aware Vocabulary. ICLR 2024 - [c36]Yu Cheng, Yunzhu Pan, Jiaqi Zhang
An Image Dataset for Benchmarking Recommender Systems with Raw Pixels. SDM 2024: 418-426 - [c35]Zhaoxin Huan, Ke Ding, Ang Li, Xiaolu Zhang
Exploring Multi-Scenario Multi-Modal CTR Prediction with a Large Scale Dataset. SIGIR 2024: 1232-1241 - [c34]Binzong Geng
Breaking the Length Barrier: LLM-Enhanced CTR Prediction in Long Textual User Behaviors. SIGIR 2024: 2311-2315 - [c33]Junchen Fu
Exploring Adapter-based Transfer Learning for Recommender Systems: Empirical Studies and Practical Insights. WSDM 2024: 208-217 - [i31]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 abs/2403.07623 (2024) - [i30]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 abs/2403.19347 (2024) - [i29]Ziqi Zhao, Zhaochun Ren, Liu Yang, Fajie Yuan, Pengjie Ren, Zhumin Chen, Jun Ma, Xin Xin:
Offline Trajectory Generalization for Offline Reinforcement Learning. CoRR abs/2404.10393 (2024) - 2023
- [j8]Lei Zhang, Shupeng Wang, Fajie Yuan, Binzong Geng, Min Yang:
Lifelong language learning with adaptive uncertainty regularization. Inf. Sci. 622: 794-807 (2023) - [j7]Lei Chen
User-Specific Adaptive Fine-Tuning for Cross-Domain Recommendations. IEEE Trans. Knowl. Data Eng. 35(3): 3239-3252 (2023) - [j6]Shilin Qu
CmnRec: Sequential Recommendations With Chunk-Accelerated Memory Network. IEEE Trans. Knowl. Data Eng. 35(4): 3540-3550 (2023) - [c32]Zheng Yuan
Where to Go Next for Recommender Systems? ID- vs. Modality-based Recommender Models Revisited. SIGIR 2023: 2639-2649 - [i28]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 abs/2303.13835 (2023) - [i27]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 abs/2305.11700 (2023) - [i26]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 abs/2305.15036 (2023) - [i25]Yu Cheng, Yunzhu Pan, Jiaqi Zhang, Yongxin Ni, Aixin Sun, Fajie Yuan:
An Image Dataset for Benchmarking Recommender Systems with Raw Pixels. CoRR abs/2309.06789 (2023) - [i24]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 abs/2309.07705 (2023) - [i23]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 abs/2309.15379 (2023) - [i22]Weixin Chen, Li Chen, Yongxin Ni, Yuhan Zhao, Fajie Yuan, Yongfeng Zhang:
FMMRec: Fairness-aware Multimodal Recommendation. CoRR abs/2310.17373 (2023) - [i21]Shilin Qu, Weiqing Wang, Yuan-Fang Li, Xin Zhou, Fajie Yuan:
Hypergraph Node Representation Learning with One-Stage Message Passing. CoRR abs/2312.00336 (2023) - [i20]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 abs/2312.09602 (2023) - 2022
- [c31]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 - [c30]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 - [c29]Yang Sun
Enhancing Top-N Item Recommendations by Peer Collaboration. SIGIR 2022: 1895-1900 - [i19]Jie Wang
TransRec: Learning Transferable Recommendation from Mixture-of-Modality Feedback. CoRR abs/2206.06190 (2022) - [i18]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 abs/2206.06583 (2022) - [i17]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 abs/2210.10629 (2022) - 2021
- [j5]Songlin Zhai
VSE-fs: Fast Full-Sample Visual Semantic Embedding. IEEE Intell. Syst. 36(4): 3-12 (2021) - [c28]Lei Chen, Fajie Yuan, Jiaxi Yang, Xiang Ao, Chengming Li
A User-Adaptive Layer Selection Framework for Very Deep Sequential Recommender Models. AAAI 2021: 3984-3991 - [c27]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: 517-523 - [c26]Mingyue Cheng
Learning Transferable User Representations with Sequential Behaviors via Contrastive Pre-training. ICDM 2021: 51-60 - [c25]Jiachun Wang, Fajie Yuan, Jian Chen, Qingyao Wu, Min Yang, Yang Sun
StackRec: Efficient Training of Very Deep Sequential Recommender Models by Iterative Stacking. SIGIR 2021: 357-366 - [c24]Mingyue Cheng
Learning Recommender Systems with Implicit Feedback via Soft Target Enhancement. SIGIR 2021: 575-584 - [c23]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: 696-705 - [c22]Binzong Geng, Min Yang, Fajie Yuan, Shupeng Wang, Xiang Ao, Ruifeng Xu:
Iterative Network Pruning with Uncertainty Regularization for Lifelong Sentiment Classification. SIGIR 2021: 1229-1238 - [i16]Lei Chen, Fajie Yuan, Jiaxi Yang, Xiangnan He, Chengming Li, Min Yang:
User-specific Adaptive Fine-tuning for Cross-domain Recommendations. CoRR abs/2106.07864 (2021) - [i15]Binzong Geng, Min Yang, Fajie Yuan, Shupeng Wang, Xiang Ao, Ruifeng Xu:
Iterative Network Pruning with Uncertainty Regularization for Lifelong Sentiment Classification. CoRR abs/2106.11197 (2021) - [i14]Lei Chen, Fajie Yuan, Jiaxi Yang, Min Yang, Chengming Li:
Scene-adaptive Knowledge Distillation for Sequential Recommendation via Differentiable Architecture Search. CoRR abs/2107.07173 (2021) - [i13]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 abs/2107.08173 (2021) - [i12]Yang Sun, Fajie Yuan, Min Yang, Alexandros Karatzoglou, Shen Li, Xiaoyan Zhao:
Enhancing Top-N Item Recommendations by Peer Collaboration. CoRR abs/2111.00429 (2021) - 2020
- [j4]Jinhui Tang
Adversarial Training Towards Robust Multimedia Recommender System. IEEE Trans. Knowl. Data Eng. 32(5): 855-867 (2020) - [c21]Yang Sun
A Generic Network Compression Framework for Sequential Recommender Systems. SIGIR 2020: 1299-1308 - [c20]Fajie Yuan, Xiangnan He, Alexandros Karatzoglou, Liguang Zhang:
Parameter-Efficient Transfer from Sequential Behaviors for User Modeling and Recommendation. SIGIR 2020: 1469-1478 - [c19]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: 303-313 - [i11]Fajie Yuan, Xiangnan He, Alexandros Karatzoglou, Liguang Zhang:
Parameter-Efficient Transfer from Sequential Behaviors for User Profiling and Recommendation. CoRR abs/2001.04253 (2020) - [i10]Yang Sun, Fajie Yuan, Min Yang, Guoao Wei, Zhou Zhao, Duo Liu:
A Generic Network Compression Framework for Sequential Recommender Systems. CoRR abs/2004.13139 (2020) - [i9]Shilin Qu, Fajie Yuan, Guibing Guo, Liguang Zhang, Wei Wei
CmnRec: Sequential Recommendations with Chunk-accelerated Memory Network. CoRR abs/2004.13401 (2020) - [i8]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 abs/2009.13724 (2020) - [i7]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 abs/2012.07598 (2020)
2010 – 2019
- 2019
- [j3]Xiaoyu Du
Modeling Embedding Dimension Correlations via Convolutional Neural Collaborative Filtering. ACM Trans. Inf. Syst. 37(4): 47:1-47:22 (2019) - [c18]Guibing Guo, Shichang Ouyang, Xiaodong He, Fajie Yuan, Xiaohua Liu:
Dynamic Item Block and Prediction Enhancing Block for Sequential Recommendation. IJCAI 2019: 1373-1379 - [c17]Fajie Yuan, Alexandros Karatzoglou, Ioannis Arapakis, Joemon M. Jose, Xiangnan He:
A Simple Convolutional Generative Network for Next Item Recommendation. WSDM 2019: 582-590 - [i6]Fajie Yuan, Xiangnan He, Guibing Guo, Zhezhao Xu, Jian Xiong, Xiuqiang He:
Modeling the Past and Future Contexts for Session-based Recommendation. CoRR abs/1906.04473 (2019) - [i5]Xiaoyu Du, Xiangnan He, Fajie Yuan, Jinhui Tang, Zhiguang Qin, Tat-Seng Chua:
Modeling Embedding Dimension Correlations via Convolutional Neural Collaborative Filtering. CoRR abs/1906.11171 (2019) - 2018
- [b1]Fajie Yuan:
Learning implicit recommenders from massive unobserved feedback. University of Glasgow, UK, 2018 - [j2]Haitao Yu, Adam Jatowt
Revisiting the cluster-based paradigm for implicit search result diversification. Inf. Process. Manag. 54(4): 507-528 (2018) - [c16]Guibing Guo, Songlin Zhai, Fajie Yuan, Yuan Liu, Xingwei Wang:
VSE-ens: Visual-Semantic Embeddings with Efficient Negative Sampling. AAAI 2018: 290-297 - [c15]Xin Xin, Fajie Yuan, Xiangnan He, Joemon M. Jose:
Batch IS NOT Heavy: Learning Word Representations From All Samples. ACL (1) 2018: 1853-1862 - [c14]Guibing Guo, Shichang Ouyang, Fajie Yuan, Xingwei Wang:
Approximating Word Ranking and Negative Sampling for Word Embedding. IJCAI 2018: 4092-4098 - [c13]Fajie Yuan, Xin Xin, Xiangnan He, Guibing Guo, Weinan Zhang, Tat-Seng Chua, Jose M. Joemon:
fBGD: Learning Embeddings From Positive Unlabeled Data with BGD. UAI 2018: 198-207 - [c12]Long Chen, Fajie Yuan, Joemon M. Jose, Weinan Zhang:
Improving Negative Sampling for Word Representation using Self-embedded Features. WSDM 2018: 99-107 - [i4]Guibing Guo, Songlin Zhai, Fajie Yuan, Yuan Liu, Xingwei Wang:
VSE-ens: Visual-Semantic Embeddings with Efficient Negative Sampling. CoRR abs/1801.01632 (2018) - [i3]Fajie Yuan, Alexandros Karatzoglou, Ioannis Arapakis, Joemon M. Jose, Xiangnan He:
A Simple but Hard-to-Beat Baseline for Session-based Recommendations. CoRR abs/1808.05163 (2018) - [i2]Jinhui Tang, Xiangnan He, Xiaoyu Du, Fajie Yuan, Qi Tian, Tat-Seng Chua:
Adversarial Training Towards Robust Multimedia Recommender System. CoRR abs/1809.07062 (2018) - 2017
- [j1]Long Chen, Joemon M. Jose
A Hybrid Approach for Question Retrieval in Community Question Answerin. Comput. J. 60(7): 1019-1031 (2017) - [c11]Rami Suleiman Alkhawaldeh, Deepak P
LTRo: Learning to Route Queries in Clustered P2P IR. ECIR 2017: 513-519 - [c10]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: 45-54 - [c9]Haitao Yu, Adam Jatowt
A Concise Integer Linear Programming Formulation for Implicit Search Result Diversification. WSDM 2017: 191-200 - [c8]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: 1201-1209 - [i1]Long Chen, Fajie Yuan, Joemon M. Jose, Weinan Zhang:
Improving Negative Sampling for Word Representation using Self-embedded Features. CoRR abs/1710.09805 (2017) - 2016
- [c7]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: 342-348 - [c6]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: 227-236 - [c5]Long Chen, Joemon M. Jose, Haitao Yu, Fajie Yuan, Huaizhi Zhang:
Probabilistic Topic Modelling with Semantic Graph. ECIR 2016: 240-251 - [c4]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: 46-53 - [c3]Long Chen, Haitao Yu, Fajie Yuan, Joemon M. Jose:
GIR at the NTCIR-12 Temporalia Task. NTCIR 2016 - [c2]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: 278-293 - [c1]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: 287-296
Coauthor Index
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last updated on 2024-11-15 19:35 CET by the dblp team
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