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Defu Lian (连德富)
Defu Lian (连德富)
Professor, University of Science and Technology of China
Bestätigte E-Mail-Adresse bei ustc.edu.cn - Startseite
Titel
Zitiert von
Zitiert von
Jahr
Collaborative knowledge base embedding for recommender systems
F Zhang, NJ Yuan, D Lian, X Xie, WY Ma
Proceedings of the 22nd ACM SIGKDD international conference on knowledge …, 2016
18922016
GeoMF: joint geographical modeling and matrix factorization for point-of-interest recommendation
D Lian, C Zhao, X Xie, G Sun, E Chen, Y Rui
Proceedings of the 20th ACM SIGKDD international conference on Knowledge …, 2014
7402014
A survey on session-based recommender systems
S Wang, L Cao, Y Wang, QZ Sheng, MA Orgun, D Lian
ACM Computing Surveys (CSUR) 54 (7), 1-38, 2021
6242021
C-pack: Packed resources for general chinese embeddings
S Xiao, Z Liu, P Zhang, N Muennighoff, D Lian, JY Nie
Proceedings of the 47th International ACM SIGIR Conference on Research and …, 2024
323*2024
Attention-based transactional context embedding for next-item recommendation
S Wang, L Hu, L Cao, X Huang, D Lian, W Liu
Proceedings of the AAAI conference on artificial intelligence 32 (1), 2018
2652018
Geography-aware sequential location recommendation
D Lian, Y Wu, Y Ge, X Xie, E Chen
Proceedings of the 26th ACM SIGKDD international conference on knowledge …, 2020
2302020
Graph convolutional networks with markov random field reasoning for social spammer detection
Y Wu, D Lian, Y Xu, L Wu, E Chen
Proceedings of the AAAI conference on artificial intelligence 34 (01), 1054-1061, 2020
1992020
Regularity and conformity: Location prediction using heterogeneous mobility data
Y Wang, NJ Yuan, D Lian, L Xu, X Xie, E Chen, Y Rui
Proceedings of the 21th ACM SIGKDD international conference on knowledge …, 2015
1912015
Neural memory streaming recommender networks with adversarial training
Q Wang, H Yin, Z Hu, D Lian, H Wang, Z Huang
Proceedings of the 24th ACM SIGKDD International Conference on Knowledge …, 2018
1762018
M3-embedding: multi-linguality, multi-functionality, multi-granularity text embeddings through self-knowledge distillation
J Chen, S Xiao, P Zhang, K Luo, D Lian, Z Liu
Findings of the Association for Computational Linguistics ACL 2024, 2318-2335, 2024
162*2024
Graphformers: Gnn-nested transformers for representation learning on textual graph
J Yang, Z Liu, S Xiao, C Li, D Lian, S Agrawal, A Singh, G Sun, X Xie
Advances in Neural Information Processing Systems 34, 28798-28810, 2021
1382021
MCNE: An end-to-end framework for learning multiple conditional network representations of social network
H Wang, T Xu, Q Liu, D Lian, E Chen, D Du, H Wu, W Su
Proceedings of the 25th ACM SIGKDD international conference on knowledge …, 2019
1252019
GeoMF++ scalable location recommendation via joint geographical modeling and matrix factorization
D Lian, K Zheng, Y Ge, L Cao, E Chen, X Xie
ACM Transactions on Information Systems (TOIS) 36 (3), 1-29, 2018
1252018
Binarized attributed network embedding
H Yang, S Pan, P Zhang, L Chen, D Lian, C Zhang
2018 IEEE International Conference on Data Mining (ICDM), 1476-1481, 2018
1152018
Orderliness predicts academic performance: behavioural analysis on campus lifestyle
Y Cao, J Gao, D Lian, Z Rong, J Shi, Q Wang, Y Wu, H Yao, T Zhou
Journal of The Royal Society Interface 15 (146), 20180210, 2018
1132018
Content-aware collaborative filtering for location recommendation based on human mobility data
D Lian, Y Ge, F Zhang, NJ Yuan, X Xie, T Zhou, Y Rui
2015 IEEE international conference on data mining, 261-270, 2015
1122015
We know how you live: exploring the spectrum of urban lifestyles
NJ Yuan, F Zhang, D Lian, K Zheng, S Yu, X Xie
Proceedings of the first ACM conference on Online social networks, 3-14, 2013
1102013
CEPR: A collaborative exploration and periodically returning model for location prediction
D Lian, X Xie, VW Zheng, NJ Yuan, F Zhang, E Chen
ACM Transactions on Intelligent Systems and Technology (TIST) 6 (1), 1-27, 2015
1062015
Personalized ranking with importance sampling
D Lian, Q Liu, E Chen
Proceedings of The Web Conference 2020, 1093-1103, 2020
1012020
Frequency-domain MLPs are more effective learners in time series forecasting
K Yi, Q Zhang, W Fan, S Wang, P Wang, H He, N An, D Lian, L Cao, Z Niu
Advances in Neural Information Processing Systems 36, 2024
962024
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