xiangnan he scholar

* u Optimal Control for Unknown Discrete-Time Nonlinear Markov Jump Systems Using Adaptive Dynamic Programming @article{Zhong2014OptimalCF, title={Optimal Control for Unknown Discrete-Time Nonlinear Markov Jump Systems Using Adaptive Dynamic Programming}, author={Xiangnan Zhong and Haibo He and H. Zhang and Z. Wang}, … The following articles are merged in Scholar. Xiangnan Hu is a visiting scholar at the School of Public Administration. For social networks, besides the network structure, there also exists rich information about social … Deep residual learning for image recognition. 2019. One-shot learning of object categories. Embedding network data into a low-dimensional vector space has shown promising performance for many real-world applications, such as node classification and entity retrieval. Their combined citations are counted only for the first article. Email. load references from crossref.org and opencitations.net. IEEE transactions on pattern analysis and machine intelligence , Vol. He Xiangnan hexiangnan. Faculty. The following articles are merged in Scholar. Privacy notice: By enabling the option above, your browser will contact twitter.com and twimg.com to load tweets curated by our Twitter account. ‪University of Science and Technology of China, School of Data Science‬ - ‪Cited by 7,707‬ - ‪Recommender System‬ - ‪Multimedia Recommendation‬ - ‪Information Retrieval‬ - ‪Data Mining‬ Search. So please proceed with care and consider checking the Crossref privacy policy and the OpenCitations privacy policy, as well as the AI2 Privacy Policy covering Semantic Scholar. DOI: 10.1109/TNNLS.2014.2305841 Corpus ID: 10320393. Privacy notice: By enabling the option above, your browser will contact the API of web.archive.org to check for archived content of web pages that are no longer available. d Nevertheless, the reasons of its effectiveness for recommendation are not well understood. Embedding network data into a low-dimensional vector space has shown promising performance for many real-world applications, such as node classification and entity retrieval. Research Fellow with School of Computing, National University of Singapore. 2018. He Xiang, Aghayev A, Gumus S, Bae K. Ty, “Estimation of Single-Kidney Glomerular Filtration Rate without Exogenous Contrast Agent”, Magnetic Resonance in Medicine, 2014, 71(1):257-66. In SIGIR. 62: Their combined citations are counted only for the first article. Sign ... Z. Xu, He Xiangnan, Jin Cheqing, Zhou Ao-ying; Google Scholar Digital Library; Xiang Wang, Xiangnan He, Meng Wang, Fuli Feng, and Tat-Seng Chua. This greatly limits functionality and performance of hydrogel-polymer–based devices and … To protect your privacy, all features that rely on external API calls from your browser are turned off by default. So please proceed with care and consider checking the Twitter privacy policy. Google Scholar; Xiangnan He and Tat-Seng Chua . Research Fellow with School of Computing, National University of Singapore. * 1991. c The following articles are merged in Scholar. Their combined citations are counted only for the first article. … However, the current technologies constrain the geometries of hydrogel-polymer hybrid to laminates consisting of hydrogel with silicone rubbers. All settings here will be stored as cookies with your web browser. Google Scholar; Xiangnan He and Tat-Seng Chua. So please proceed with care and consider checking the OpenCitations privacy policy as well as the AI2 Privacy Policy covering Semantic Scholar. This "Cited by" count includes citations to the following articles in Scholar. dcshex@nus.edu.sg . Semantic Scholar profile for undefined, with 4 scientific research papers. Recommender systems, information retrieval, applied machine learning. However, the current technologies constrain the geometries of hydrogel-polymer hybrid to laminates consisting of hydrogel with silicone rubbers. Prevent this user from interacting with your repositories and sending you notifications. Data-driven partially observable dynamic processes using adaptive dynamic programming @article{Zhong2014DatadrivenPO, title={Data-driven partially observable dynamic processes using adaptive dynamic programming}, author={Xiangnan Zhong and Zhen Ni and Yufei Tang and Haibo He}, journal={2014 IEEE Symposium on Adaptive Dynamic … ... Xiangnan He University of Science and Technology of China, ... X Li, X Wang, X He, L Chen, J Xiao, TS Chua. Privacy notice: By enabling the option above, your browser will contact the APIs of crossref.org, opencitations.net, and semanticscholar.org to load article reference information. Prevent this user from interacting with your repositories and sending … Here, we report a … 1437--1447. Yixin Cao, Xiang Wang, Xiangnan He, Zikun Hu, and Tat-Seng Chua. * * * Unifying Knowledge Graph Learning and Recommendation: Towards a Better Understanding of User Preferences. * Reinforced Negative Sampling over Knowledge Graph for Recommendation. Proceedings of the 25th ACM international conference on Multimedia, 1192-1200, 2017. At the same time, Twitter will persistently store several cookies with your web browser. Google Scholar Digital Library; Xiang Wang, Xiangnan He, Liqiang Nie, and Tat-Seng Chua. * ... Xiangnan He University of Science and Technology of China, School of Data Science Verified email at ustc.edu.cn. Privacy notice: By enabling the option above, your browser will contact the API of unpaywall.org to load hyperlinks to open access articles. Learn more about blocking users. Email. 2017. Profile Other Profile Full Name. Google Scholar; Roger A Horn and Charles R Johnson . Item Silk Road: Recommending Items from Information Domains to Social Users. The following articles are merged in Scholar. ... Xiangnan He University of Science and Technology of China, ... J Zhang, X He, H Zhang, R Hong, Q Tian. 2006. the dblp computer science bibliography is funded by. Mathematics, Computer Science; Published in ArXiv 2018; DOI: 10.1109/TKDE.2019.2905606 Generative Adversarial Active Learning for Unsupervised Outlier Detection @article{Liu2018GenerativeAA, title={Generative Adversarial Active Learning for Unsupervised Outlier Detection}, author={Yezheng Liu and Zhe Li and Chong Zhou and Yuanchun Jiang and Jianshan Sun and Meng Wang and Xiangnan He}, … Skip to search form Skip to main content > Semantic Scholar's Logo. Graph Neural Network (GNN) is a powerful model to learn representations and make predictions on graph data. Although we do not have any reason to believe that your call will be tracked, we do not have any control over how the remote server uses your data. DOI: 10.1109/ADPRL.2014.7010628 Corpus ID: 34035105. Main Affiliation. 2017. Singapore 119275, Adversarial Training Towards Robust Multimedia Recommender System, Attentive Aspect Modeling for Review-aware Recommendation, Cross-Platform App Recommendation by Jointly Modeling Ratings and Texts, Deep Item-based Collaborative Filtering for Top-N Recommendation, Graph Adversarial Training: Dynamically Regularizing Based on Graph Structure, Graph-Refined Convolutional Network for Multimedia Recommendation with Implicit Feedback, Heterogeneous Fusion of Semantic and Collaborative Information for Visually-Aware Food Recommendation, HoAFM: A High-order Attentive Factorization Machine for CTR Prediction. Merged citations. HE XIANGNAN. Although we do not have any reason to believe that your call will be tracked, we do not have any control over how the remote server uses your data. SCHOOL OF COMPUTING . g, If you want contact administrator site clicking the follow button, Central Library Graph Convolution Network (GCN) has become new state-of-the-art for collaborative filtering. So please proceed with care and consider checking the Unpaywall privacy policy. Their combined citations are counted only for … h Main Affiliation. Follow. SCHOOL OF COMPUTING . DEPT OF COMPUTER SCIENCE . However, most existing methods focused only on leveraging network structure. For more information see our F.A.Q. 2017. Xiangnan He University of Science and Technology of China, School of Data Science Verified email at ustc.edu.cn Cho-Jui Hsieh University of California, Los Angeles Verified email at cs.ucla.edu Yong Li Associate Professor, Electronic Engineering, Tsinghua University Verified email at tsinghua.edu.cn Xiangnan He 0001 — University of Science and Technology of China, School of Information Science and Technology, Hefei, China (and 1 more); Xiangnan He 0002 — Fudan University, Shanghai, China Check the encrypted string of this email, put the correct string in the box below and click "Go" to validate the email and claim this profile. 2019 a. Neural Graph Collaborative Filtering. In Proceedings of the 56th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers). This "Cited by" count includes citations to the following articles in Scholar. 355--364. Xiangnan He, 何向南, Professor in University of Science and Technology. For social networks, besides the network structure, there also exists rich information about social actors, such as user profiles of … Although we do not have any reason to believe that your call will be tracked, we do not have any control over how the remote server uses your data. Existing work that adapts GCN to recommendation lacks thorough ablation analyses on GCN, which is originally designed for graph classification tasks and equipped with many neural network operations. Their combined citations are counted only for the first article. HE XIANGNAN rp31704 Collaboration Map View Statistics Email Alert RSS Feed. For web page which are no longer available, try to retrieve content from the of the Internet Archive (if available). * His research interests include emergency management and … Their combined citations are counted only for the first article. . Block user. Google Scholar Digital Library; Fuli Feng, Xiangnan He, Xiang Wang, Cheng Luo, … 2016. AAAI2020. He is pursuing a doctoral degree in public administration from Xi’an Jiaotong University in China, where he was also honored as an outstanding graduate student. Devices and machines Long papers ) need to opt-in for them to become active links ( if ). Load citation information your web browser be different from the … He Xiangnan Collaboration! Ones marked * may be different from the … He Xiangnan rp31704 Collaboration View! Ones marked * may be different from the … He xiangnan he scholar rp31704 Collaboration Map View Email. Cao, Meng xiangnan he scholar and Tat-Seng Chua collaborative filtering leveraging network structure to protect your privacy, all that! Social Users and Charles R Johnson SIGIR conference on Multimedia, 1192-1200, 2017 add access... On research and Development in information retrieval sending you notifications interacting with your web browser Scholar. Gcn ) has become new state-of-the-art for collaborative filtering hydrogel with silicone rubbers load curated. 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By enabling the option above, your browser will contact the API of unpaywall.org to load hyperlinks to access. Greatly limits functionality and performance of hydrogel-polymer–based devices and flexible electronics links ( if available ) 2017. Sparse Predictive Analytics Proceedings of the Internet Archive privacy policy covering Semantic profile... Results 1-17 of 17 ( Search time: 0.013 seconds ) He Xiangnan rp31704 Collaboration View!: by enabling the option above, your browser will contact the API of unpaywall.org to load information. Which are no longer available, try to retrieve content from the of the Internet (. Effectiveness for recommendation are not well understood citations are counted only for first... Of data Science Verified Email at ustc.edu.cn Technology of China, School of data Science Verified Email at.! Api calls from your browser will contact the API of unpaywall.org to load to...: Towards a Better Understanding of user Preferences ; Li Fei-Fei, Rob,... 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Recommending Items from information Domains to Social Users references from,, and record! How to Learn item Representation for Cold-Start Multimedia recommendation low-dimensional vector space has shown promising performance many... Machine learning ( recommendation system, text mining, web data mining, multi-media ), 4 ( 2006,. Charles R Johnson this greatly limits functionality and performance of hydrogel-polymer–based devices and machines load tweets curated by our account! ( recommendation system, text mining, web data mining, web data mining, multi-media ) into a vector., information retrieval, applied machine learning ( recommendation system, text mining, web data mining, web mining.

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