Hongteng Xu 许洪腾

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Hongyuan ZhaThe Chinese University of Hong Kong, ShenzhenVerified email at cuhk.edu.cn
Dixin Luo 罗迪新Assistant Professor, Beijing Institute of TechnologyVerified email at bit.edu.cn
Lawrence CarinProvost, King Abdullah University of Science & Technology (KAUST)Verified email at kaust.edu.sa
Xiaokang YangFIEEE, Shanghai Jiao Tong UniversityVerified email at sjtu.edu.cn
Yongfeng ZhangRutgers University, Department of Computer ScienceVerified email at rutgers.edu
Xu Chen 陈旭Assistant Professor (Tenure-Track), Renmin University of ChinaVerified email at ruc.edu.cn
Junchi Yan 严骏驰Research Professor, Shanghai Jiao Tong University, Previously IBM ResearchVerified email at cs.sjtu.edu.cn
Guangtao ZhaiProfessor of EE, Shanghai Jiao Tong UniversityVerified email at ieee.org
Yixin CaoNanyang Technological UniversityVerified email at ntu.edu.sg
Wenlin WangDuke UniversityVerified email at duke.edu
Licheng Yu 虞立成Facebook AIVerified email at fb.com
Weiyao LinProfessor, Shanghai Jiao Tong UniversityVerified email at sjtu.edu.cn
Yi ZhenLinkedInVerified email at linkedin.com
Guoyin WangAmazon Alexa AIVerified email at duke.edu
Mehrdad FarajtabarResearch Scientist, Google DeepMindVerified email at google.com
Ruiyi ZhangAdobe ResearchVerified email at cs.duke.edu
Xia NingAssociate Professor, Biomedical Informatics, Computer Science and Engineering, The Ohio StateVerified email at osu.edu
Yang ZhouPhd candidate, UMass AmherstVerified email at cs.umass.edu
Zhe GanSenior Researcher, MicrosoftVerified email at microsoft.com
Truong NguyenUCSDVerified email at eng.ucsd.edu

Hongteng Xu 许洪腾

Associate Professor (Tenure-Track), Renmin University of China

Verified email at ruc.edu.cn - Homepage

Machine Learning and Its Applications


Title Sort by citations Sort by year Sort by title	Cited by Cited by	Year
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	208	2018
Learning Granger Causality for Hawkes Processes H Xu, M Farajtabar, H Zha arXiv preprint arXiv:1602.04511, 2016	128	2016
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	94	2015
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	94	2013
Generalized Equalization Model for Image Enhancement H Xu, G Zhai, X Wu, X Yang Multimedia, IEEE Transactions on 16 (1), 68 - 82, 2014	92	2014
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	82	2017
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	58	2019
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	58	2015
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	52	2019
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	51	2015
Distilled wasserstein learning for word embedding and topic modeling H Xu, W Wang, W Liu, L Carin arXiv preprint arXiv:1809.04705, 2018	44	2018
Quaternion convolutional neural networks X Zhu, Y Xu, H Xu, C Chen Proceedings of the European Conference on Computer Vision (ECCV), 631-647, 2018	44	2018
Learning hawkes processes from short doubly-censored event sequences H Xu, D Luo, H Zha International Conference on Machine Learning, 3831-3840, 2017	44	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	40	2017
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	39	2019
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	39	2016
A tube-and-droplet-based approach for representing and analyzing motion trajectories W Lin, Y Zhou, H Xu, J Yan, M Xu, J Wu, Z Liu IEEE transactions on pattern analysis and machine intelligence 39 (8), 1489-1503, 2016	36	2016
Trailer Generation via a Point Process-Based Visual Attractiveness Model H Xu, Y Zhen, H Zha Proceedings of the Twenty-Fourth International Joint Conference on …, 2015	35	2015
Visually explainable recommendation X Chen, Y Zhang, H Xu, Y Cao, Z Qin, H Zha arXiv preprint arXiv:1801.10288, 2018	31	2018
Learning conditional generative models for temporal point processes S Xiao, H Xu, J Yan, M Farajtabar, X Yang, L Song, H Zha Proceedings of the AAAI Conference on Artificial Intelligence 32 (1), 2018	30	2018

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