Hongteng Xu 许洪腾
Hongteng Xu 许洪腾
Otros nombresHongteng Xu, Xu, Hongteng
Associate Professor, Renmin University of China
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Citado por
Citado por
Sequential recommendation with user memory networks
X Chen, H Xu, Y Zhang, J Tang, Y Cao, Z Qin, H Zha
Proceedings of the eleventh ACM international conference on web search and …, 2018
Learning Granger Causality for Hawkes Processes
H Xu, M Farajtabar, H Zha
arXiv preprint arXiv:1602.04511, 2016
Gromov-wasserstein learning for graph matching and node embedding
H Xu, D Luo, H Zha, L Carin
International conference on machine learning, 6932-6941, 2019
Personalized fashion recommendation with visual explanations based on multimodal attention network: Towards visually explainable recommendation
X Chen, H Chen, H Xu, Y Zhang, Y Cao, Z Qin, H Zha
Proceedings of the 42nd International ACM SIGIR Conference on Research and …, 2019
Scalable Gromov-Wasserstein Learning for Graph Partitioning and Matching
H Xu, D Luo, L Carin
Advances in Neural Information Processing Systems 32, 2019
Generalized Equalization Model for Image Enhancement
H Xu, G Zhai, X Wu, X Yang
Multimedia, IEEE Transactions on 16 (1), 68 - 82, 2014
Quaternion convolutional neural networks
X Zhu, Y Xu, H Xu, C Chen
Proceedings of the European Conference on Computer Vision (ECCV), 631-647, 2018
Vector Sparse Representation of Color Image Using Quaternion Matrix Analysis
Y Xu, L Yu, H Xu, H Zhang, T Nguyen
Image Processing, IEEE Transactions on 24 (4), 1315 - 1329, 2015
Topic-guided variational autoencoders for text generation
W Wang, Z Gan, H Xu, R Zhang, G Wang, D Shen, C Chen, L Carin
arXiv preprint arXiv:1903.07137, 2019
Single image super-resolution with detail enhancement based on local fractal analysis of gradient
H Xu, X Yang, G Zhai
Circuits and Systems for Video Technology, IEEE Transactions on 23 (10 …, 2013
Personalized key frame recommendation
X Chen, Y Zhang, Q Ai, H Xu, J Yan, Z Qin
Proceedings of the 40th international ACM SIGIR conference on research and …, 2017
Unsupervised trajectory clustering via adaptive multi-kernel-based shrinkage
H Xu, Y Zhou, W Lin, H Zha
Proceedings of the IEEE international conference on computer vision, 4328-4336, 2015
Bernnet: Learning arbitrary graph spectral filters via bernstein approximation
M He, Z Wei, H Xu
Advances in Neural Information Processing Systems 34, 14239-14251, 2021
Distilled wasserstein learning for word embedding and topic modeling
H Xu, W Wang, W Liu, L Carin
Advances in Neural Information Processing Systems 31, 2018
Counterfactual data-augmented sequential recommendation
Z Wang, J Zhang, H Xu, X Chen, Y Zhang, WX Zhao, JR Wen
Proceedings of the 44th international ACM SIGIR conference on research and …, 2021
Learning Hawkes processes from short doubly-censored event sequences
H Xu, D Luo, H Zha
International Conference on Machine Learning, 3831-3840, 2017
A Dirichlet Mixture Model of Hawkes Processes for Event Sequence Clustering
H Xu, H Zha
Advances in Neural Information Processing Systems 30, 1354-1363, 2017
Multi-Task Multi-Dimensional Hawkes Processes for Modeling Event Sequences
D Luo, H Xu, Y Zhen, X Ning, H Zha, X Yang, W Zhang
Proceedings of the Twenty-Fourth International Joint Conference on …, 2015
Patient flow prediction via discriminative learning of mutually-correcting processes
H Xu, W Wu, S Nemati, H Zha
IEEE transactions on Knowledge and Data Engineering 29 (1), 157-171, 2016
Visually explainable recommendation
X Chen, Y Zhang, H Xu, Y Cao, Z Qin, H Zha
arXiv preprint arXiv:1801.10288, 2018
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