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 CarinDuke UniversityVerified email at duke.edu
Yongfeng ZhangProfessor of Computer Science, Rutgers UniversityVerified email at rutgers.edu
Xiaokang YangFIEEE, Shanghai Jiao Tong UniversityVerified email at sjtu.edu.cn
Xu Chen 陈旭Tenure-Track Associate Professor, Renmin University of ChinaVerified email at ruc.edu.cn
Yixin CaoFudan UniversityVerified email at fudan.edu.cn
Junchi YanFellow of IAPR, Shanghai Jiao Tong University (2018-), IBM Research (2011-2018)Verified email at cs.sjtu.edu.cn
Wenlin WangFacebook IncVerified email at fb.com
Zhewei WeiRenmin University of ChinaVerified email at ruc.edu.cn
Licheng Yu 虞立成Research Scientist and Manager, Facebook AIVerified email at fb.com
Guangtao ZhaiShanghai Jiao Tong UniversityVerified email at sjtu.edu.cn
Mehrdad FarajtabarResearch Scientist at AppleVerified email at apple.com
Ji-Rong WenRenmin University of ChinaVerified email at ruc.edu.cn
Guoyin WangResearch Scientist, BytedanceVerified email at bytedance.com
Weiyao LinProfessor, Shanghai Jiao Tong UniversityVerified email at sjtu.edu.cn
Yi ZhenLinkedInVerified email at linkedin.com
Gengmo ZhouRenmin University of ChinaVerified email at ruc.edu.cn
Zhifeng GaoDP TechnologyVerified email at dp.tech
Hao ZhangColorado State UniversityVerified email at cs.colostate.edu

Hongteng Xu 许洪腾

Other namesHongteng Xu, Xu, Hongteng

Associate Professor, 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	552	2018
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	279	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	278	2019
Learning Granger Causality for Hawkes Processes H Xu, M Farajtabar, H Zha arXiv preprint arXiv:1602.04511, 2016	257	2016
Uni-mol: A universal 3d molecular representation learning framework G Zhou, Z Gao, Q Ding, H Zheng, H Xu, Z Wei, L Zhang, G Ke	213	2023
Scalable Gromov-Wasserstein Learning for Graph Partitioning and Matching H Xu, D Luo, L Carin Advances in Neural Information Processing Systems 32, 2019	206	2019
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	191	2021
Quaternion convolutional neural networks X Zhu, Y Xu, H Xu, C Chen Proceedings of the European conference on computer vision (ECCV), 631-647, 2018	189	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	157	2015
Generalized Equalization Model for Image Enhancement H Xu, G Zhai, X Wu, X Yang Multimedia, IEEE Transactions on 16 (1), 68 - 82, 2014	156	2014
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	152	2019
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	137	2021
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	120	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	116	2017
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	94	2018
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	92	2015
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	87	2017
Learning Hawkes processes from short doubly-censored event sequences H Xu, D Luo, H Zha International Conference on Machine Learning, 3831-3840, 2017	81	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	77	2015
Visually explainable recommendation X Chen, Y Zhang, H Xu, Y Cao, Z Qin, H Zha arXiv preprint arXiv:1801.10288, 2018	62	2018

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