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Ling Chen 0006
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Publications
- 2023
- [j33]Xuhui Fan, Yaqiong Li, Ling Chen, Bin Li, Scott A. Sisson:
Hawkes Processes With Stochastic Exogenous Effects for Continuous-Time Interaction Modelling. IEEE Trans. Pattern Anal. Mach. Intell. 45(2): 1848-1861 (2023) - [c62]Wei Wu, Bin Li, Ling Chen, Junbin Gao, Chengqi Zhang:
A Review for Weighted MinHash Algorithms (Extended abstract). ICDE 2023: 3785-3786 - 2022
- [j31]Yaqiong Li, Xuhui Fan, Ling Chen, Bin Li, Scott A. Sisson:
Smoothing graphons for modelling exchangeable relational data. Mach. Learn. 111(1): 319-344 (2022) - [j28]Wei Wu, Bin Li, Ling Chen, Junbin Gao, Chengqi Zhang:
A Review for Weighted MinHash Algorithms. IEEE Trans. Knowl. Data Eng. 34(6): 2553-2573 (2022) - 2021
- [c53]Yaqiong Li, Xuhui Fan, Ling Chen, Bin Li, Scott A. Sisson:
Decoupling Sparsity and Smoothness in Dirichlet Belief Networks. ECML/PKDD (2) 2021: 148-163 - 2020
- [c50]Yaqiong Li, Xuhui Fan, Ling Chen, Bin Li, Zheng Yu, Scott A. Sisson:
Recurrent Dirichlet Belief Networks for interpretable Dynamic Relational Data Modelling. IJCAI 2020: 2470-2476 - [i10]Yaqiong Li, Xuhui Fan, Ling Chen, Bin Li, Scott A. Sisson:
Recurrent Dirichlet Belief Networks for Interpretable Dynamic Relational Data Modelling. CoRR abs/2002.10235 (2020) - [i9]Xuhui Fan, Yaqiong Li, Ling Chen, Bin Li, Scott A. Sisson:
Smoothing Graphons for Modelling Exchangeable Relational Data. CoRR abs/2002.11159 (2020) - 2019
- [j20]Wei Wu, Bin Li, Ling Chen, Chengqi Zhang, Philip S. Yu:
Improved Consistent Weighted Sampling Revisited. IEEE Trans. Knowl. Data Eng. 31(12): 2332-2345 (2019) - [c44]Xuhui Fan, Bin Li, Caoyuan Li, Scott A. Sisson, Ling Chen:
Scalable Deep Generative Relational Model with High-Order Node Dependence. NeurIPS 2019: 12637-12647 - [i7]Xuhui Fan, Bin Li, Scott Anthony Sisson, Caoyuan Li, Ling Chen:
Scalable Deep Generative Relational Models with High-Order Node Dependence. CoRR abs/1911.01535 (2019) - 2018
- [j17]Lianhua Chi, Bin Li, Xingquan Zhu, Shirui Pan, Ling Chen:
Hashing for Adaptive Real-Time Graph Stream Classification With Concept Drifts. IEEE Trans. Cybern. 48(5): 1591-1604 (2018) - [j16]Wei Wu, Bin Li, Ling Chen, Xingquan Zhu, Chengqi Zhang:
K-Ary Tree Hashing for Fast Graph Classification. IEEE Trans. Knowl. Data Eng. 30(5): 936-949 (2018) - [c40]Wei Wu, Bin Li, Ling Chen, Chengqi Zhang:
Efficient Attributed Network Embedding via Recursive Randomized Hashing. IJCAI 2018: 2861-2867 - [i5]Wei Wu, Bin Li, Ling Chen, Junbin Gao, Chengqi Zhang:
A Review for Weighted MinHash Algorithms. CoRR abs/1811.04633 (2018) - 2017
- [c36]Wei Wu, Bin Li, Ling Chen, Chengqi Zhang:
Consistent Weighted Sampling Made More Practical. WWW 2017: 1035-1043 - [i4]Wei Wu, Bin Li, Ling Chen, Chengqi Zhang, Philip S. Yu:
Improved Consistent Weighted Sampling Revisited. CoRR abs/1706.01172 (2017) - 2016
- [c33]Wei Wu, Bin Li, Ling Chen, Chengqi Zhang:
Canonical Consistent Weighted Sampling for Real-Value Weighted Min-Hash. ICDM 2016: 1287-1292 - [c32]Wei Wu, Bin Li, Ling Chen, Chengqi Zhang:
Cross-View Feature Hashing for Image Retrieval. PAKDD (1) 2016: 203-214 - 2013
- [j5]Bin Li, Ling Chen, Xingquan Zhu, Chengqi Zhang:
Noisy but non-malicious user detection in social recommender systems. World Wide Web 16(5-6): 677-699 (2013)
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