Dixin Luo 罗迪新

引用先

	すべて	2020 年以来
引用	964	806
h 指標	12	10
i10 指標	13	11

220

110

165

2014201520162017201820192020202120222023202420256 6 16 22 41 54 75 141 184 203 186 17

オープンアクセス

すべて表示

17 件の論文

1 件の論文

利用可能

利用不可

助成機関の要件に基づく

共著者

Hongteng Xu 许洪腾Associate Professor, Renmin University of China確認したメールアドレス: ruc.edu.cn
Lawrence CarinDuke University確認したメールアドレス: duke.edu
Hongyuan ZhaThe Chinese University of Hong Kong, Shenzhen確認したメールアドレス: cuhk.edu.cn
Xiaokang YangFIEEE, Shanghai Jiao Tong University確認したメールアドレス: sjtu.edu.cn
Yi ZhenLinkedIn確認したメールアドレス: linkedin.com
Yutong WangBeijing Institute of Technology確認したメールアドレス: bit.edu.cn
Xia NingProfessor, Biomedical Informatics, Computer Science and Engineering, The Ohio State確認したメールアドレス: osu.edu
Ricardo HenaoDuke University確認したメールアドレス: duke.edu
Samir S. ShahCincinnati Children's Hospital Medical Center確認したメールアドレス: cchmc.org
Angxiao YueRenmin University of China確認したメールアドレス: ruc.edu.cn
Bistra DilkinaAssoc. Professor of Computer Science and co-Director of the Center for AI in Society, USC確認したメールアドレス: usc.edu
Jiachang LiuCornell University確認したメールアドレス: cornell.edu
Kelly LyonsFaculty of Information, University of Toronto確認したメールアドレス: utoronto.ca
Licheng Yu 虞立成Research Scientist and Manager, Facebook AI確認したメールアドレス: fb.com
yi xuAssociate professor, Shanghai Jiao Tong University確認したメールアドレス: sjtu.edu.cn
Peilin Zhao (赵沛霖)Tencent確認したメールアドレス: tencent.com
Junzhou HuangJenkins Garrett Professor, Computer Science and Engineering, the University of Texas at Arlington確認したメールアドレス: uta.edu
Xiaoming HuoProfessor, Georgia Institute of Technology確認したメールアドレス: gatech.edu
Renee MillerUniversity of Waterloo確認したメールアドレス: uwaterloo.ca
Eleni StrouliaProfessor of Computing Science, University of Alberta確認したメールアドレス: ualberta.ca

フォロー

Dixin Luo 罗迪新

Assistant Professor, Beijing Institute of Technology

確認したメールアドレス: bit.edu.cn - ホームページ

Data mining Machine Learning


タイトル引用回数順公開年順タイトル順	引用先引用先	年
Gromov-wasserstein learning for graph matching and node embedding H Xu, D Luo, H Zha, LC Duke International conference on machine learning, 6932-6941, 2019	297	2019
Scalable Gromov-Wasserstein learning for graph partitioning and matching H Xu, D Luo, L Carin Advances in neural information processing systems 32, 2019	220	2019
Learning Hawkes processes from short doubly-censored event sequences H Xu, D Luo, H Zha International Conference on Machine Learning, 3831-3840, 2017	80	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 ACM, 2015	80	2015
Learning autoencoders with relational regularization H Xu, D Luo, R Henao, S Shah, L Carin International Conference on Machine Learning, 10576-10586, 2020	53	2020
You are what you watch and when you watch: Inferring household structures from IPTV viewing data D Luo, H Xu, H Zha, J Du, R Xie, X Yang, W Zhang IEEE Transactions on Broadcasting 60 (1), 61-72, 2014	44	2014
Learning graphons via structured gromov-wasserstein barycenters H Xu, D Luo, L Carin, H Zha Proceedings of the AAAI Conference on Artificial Intelligence 35 (12), 10505 …, 2021	29	2021
Benefits from superposed hawkes processes H Xu, D Luo, X Chen, L Carin International Conference on Artificial Intelligence and Statistics, 623-631, 2018	26	2018
Representing graphs via Gromov-Wasserstein factorization H Xu, J Liu, D Luo, L Carin IEEE Transactions on Pattern Analysis and Machine Intelligence 45 (1), 999-1016, 2022	18	2022
Learning mixtures of markov chains from aggregate data with structural constraints D Luo, H Xu, Y Zhen, B Dilkina, H Zha, X Yang, W Zhang IEEE Transactions on Knowledge and Data Engineering 28 (6), 1518-1531, 2016	18	2016
灰色风险型多属性群决策方法罗党，周玲，罗迪新系统工程与电子技术 30 (9), 1674-1678, 2008	17	2008
Online Continuous-Time Tensor Factorization Based on Pairwise Interactive Point Processes. H Xu, D Luo, L Carin IJCAI, 2905-2911, 2018	13	2018
Differentiable hierarchical optimal transport for robust multi-view learning D Luo, H Xu, L Carin IEEE Transactions on Pattern Analysis and Machine Intelligence 45 (6), 7293-7307, 2022	10	2022
Weakly-supervised temporal action alignment driven by unbalanced spectral fused Gromov-Wasserstein distance D Luo, Y Wang, A Yue, H Xu Proceedings of the 30th ACM International Conference on Multimedia, 728-739, 2022	8	2022
Dictionary learning with mutually reinforcing group-graph structures H Xu, L Yu, D Luo, H Zha, Y Xu Proceedings of the AAAI Conference on Artificial Intelligence 29 (1), 2015	8	2015
Self-supervised Video Summarization Guided by Semantic Inverse Optimal Transport Y Wang, H Xu, D Luo Proceedings of the 31st ACM International Conference on Multimedia, 6611-6622, 2023	5	2023
Hierarchical optimal transport for robust multi-view learning D Luo, H Xu, L Carin arXiv preprint arXiv:2006.03160, 2020	5	2020
Fused gromov-wasserstein alignment for hawkes processes D Luo, H Xu, L Carin arXiv preprint arXiv:1910.02096, 2019	5	2019
Learning graphon autoencoders for generative graph modeling H Xu, P Zhao, J Huang, D Luo arXiv preprint arXiv:2105.14244, 2021	4	2021
CASCONet: A Conference dataset D Luo, K Lyons arXiv preprint arXiv:1706.09485, 2017	4	2017

現在システムで処理を実行できません。しばらくしてからもう一度お試しください。

論文 1–20

年間引用数

重複した引用

結合された引用

共著者を追加共著者

フォロー

引用先

共著者