xiangnan he github

Such multimedia content contains rich visually-relevant signal that can reveal user preference, providing opportunities to improve recom-mender systems that are typically based on collaborative Sign in Sign up Instantly share code, notes, and snippets. Liqiang Nie, Xiang Wang, Jianglong Zhang, Xiangnan He, Hanwang Zhang, Richang Hong, Qi Tian: Enhancing Micro-video Understanding by Harnessing External Sounds. IEEE Conference on Computer Vision and Pattern Recognition (CVPR 2020).. In IJCAI, 2018. Shuhan Qi, Xuan Wang, Xi Zhang, Xuemeng Song, Zoe L. Jiang. Fajie Yuan (Tencent);Xiangnan He (University of Science and Technology of China) Alexandros Karatzoglou (Google Research); Liguang Zhang (Tencent) Parameter-Efficient Transfer from Sequential communities claim Claim with Google Claim with Twitter Claim with GitHub Claim with LinkedIn LightGCN: Simplifying and Powering Graph Convolution Network for Recommendation. In the Sem II of AY2020/2021, we will focus on the topics of . Shen, Zhihong, et al. • Google Scholar • GitHub. Sign in Sign up Instantly share code, notes, and snippets. Conversational Systems, Recommender Systems and their intersections. I got my bacherlor degree at SDU (Shandong University), supervised by Dr. Liqiang Nie (salute you bro!). Add to Firefox. I also co-work with Dr. Wenjie (maggie) Li at Polyu@HK, really thanks to maggie for her kindly teaching. Xiang Wang is now a research fellow in NExT++, School of Computing, National University of Singapore. Add to Chrome. Claim your profile and join one of the world's largest A.I. • CV • Google Scholar • GitHub. Xiangnan He University of Science and Technology of China xiangnanhe@gmail.com Long Chen Zhejiang University longc@zju.edu.cn Jun Xiao∗ Zhejiang University junx@zju.edu.cn Tat-Seng Chua National University of Singapore dcscts@nus.edu.sg ABSTRACT Fashion outfit recommendation has attracted increasing attentions from online shopping services and fashion communities. Yinwei is a research fellow in NExT++, School of Computing, National University of Singapore. First, most pioneer methods discretely learn hash codes bit by bit, making the learning procedure rather time-consuming. Liqiang Nie, Xiaochi Wei, Dongxiang Zhang, Xiang Wang, Zhipeng Gao, Yi Yang. Program Committee. Xiangnan He, et al. Contact Support about this user’s behavior. Sign in Sign up {{ message }} Instantly share code, notes, and snippets. He has published 80+ peer-reviewed papers at top international venues such as SIGIR, WSDM, ISWC, and CIKM on all applications and aspects of knowledge graphs, entity linking, and semantic search. Practical Gremlin - An Apache TinkerPop Tutorial. All gists Back to GitHub. In ACM MM, 2017 oral, CCF A, (~7.5% acceptance rate). Learn more about blocking users. I am a research fellow in NExT++, School of Computing, National University of Singapore. Matching User with Item Set: Collaborative Bundle Recommendation with Attention Network, IJCAI 2019. In International World Wide Web Conference (WWW’18). Xiang Wang, Xiangnan He, Yixin Cao, Meng Liu, Tat-Seng Chua, “KGAT: Knowledge Graph Attention Network for Recommendation”, ACM SIGKDD Conference on Knowledge Discovery and Data Mining, (ACM KDD), 2019. code His research interests include information retrieval, data mining, and explainable AI, particularly in recommender systems, graph learning, and social media analysis. ILLIDAN lab designs scalable machine learning algorithms, creates open source machine learning software, and develops powerful machine learning for applications in health informatics, big traffic analytics, and … lukewang1024 / luna_pinyin.emoji.dict.yaml forked from lembacon/luna_pinyin.emoji.dict.yaml. Lab head is Professor Jiayu Zhou. Publications (Google Scholar Profile). The … WSDM 2020 (oral presentation) . Block user. Xiangnan He School of Computing National University of Singapore Singapore 117417 dcshex@nus.edu.sg Tat-Seng Chua School of Computing National University of Singapore Singapore 117417 dcscts@nus.edu.sg ABSTRACT Many predictive tasks of web applications need to model categori-cal variables, such as user IDs and demographics like genders and occupations. Bayesian Inference and Gibbs Sampling. Star 0 Fork 0; Code Revisions 5. “Modeling Product’s Visual and Functional Characteristics for Recommender Systems”. Star 47 Fork 7 Code Revisions 6 Stars 47 Forks 7. Wenqiang Lei, Xiangnan He, Yisong Miao, Qingyun Wu, Richang Hong, Min-Yen Kan and Tat Seng Chua. Neurocomputing, 274: 29-36, 2018. Created Sep 30, 2016. Skip to content. Hey Xiangnan He! To apply … See more researchers and engineers like Xiangnan He. Xiangnan He, School of Computing, National University of Singapore, Singapore 117417, dcshex @ nus. Get our free extension to see links to code for papers anywhere online! Bayesian Inference with Tears-A tutorial workbook for natural language researchers; Gershman, Samuel J., and David M. Blei. GitHub Gist: star and fork nzc's gists by creating an account on GitHub. (Full paper) Pdf; Scalable Graph Based Non-negative Multi-view Embedding for Image Ranking. Item Silk Road: Recommend-ing Items from Information Domains to Social Users. Sinha, Arnab, et al. Github; Weibo; Reading List. Embed. Our reading group will be conducted as a group seminar, with class participants nominating themselves and presenting the materials and leading the discussion. 243–246. Last active Apr 22, 2020. edu . Xiang Wang, Xiangnan He, Fuli Feng, Liqiang Nie, Tat-Seng Chua (2018). (CCF A) Jingkuan Song, Xiaosu Zhu, Lianli Gao, Xin-Shun Xu, Wu Liu, Heng Tao Shen. lembacon / luna_pinyin.emoji.dict.yaml. - hexiangnan nzc. Last update: September 10, 2020. Variance Reduction in Gradient Exploration for Online Learning to Rank (Best Paper Award) Huazheng Wang, Sonwoo Kim, Eric … Xiang Wang, Xiangnan He, Liqiang Nie, Tat-Seng Chua (2017). Research Fellow with School of Computing, National University of Singapore. 26th International World Wide Web Conference. Xiangnan He Hanwang Zhang Min-Yen Kan Tat-Seng Chua School of Computing, National University of Singapore {xiangnan, hanwang, kanmy, chuats}@comp.nus.edu.sg ABSTRACT This paper contributes improvements on both the e ective-ness and e ciency of Matrix Factorization (MF) methods for implicit feedback. Contribute to krlawrence/graph development by creating an account on GitHub. TEM: Tree-enhanced Embedding Model for Explainable Recommendation. SIGIR 2018 SIGIR Supervised. I Know What You Want to Express: Sentence Element Inference by Incorporating External Knowledge Base. sg Manuscript received Aug 1, 2018. friends in social media sites [10], [11]. Webpage template borrows from Xiangnan He. IEEE Transactions on Knowledge and … In TKDE, 2017, CCF A. Jianglong Zhang, … Liang Chen, Yang Liu, Xiangnan He, Lianli Gao, Zibin Zheng. edu. Zhiyong Cheng, Ying Ding, Xiangnan He, Lei Zhu, Xuemeng Song, Mohan S. Kankanhalli. “CORD-19: The Covid-19 Open Research Dataset.” ArXiv Preprint ArXiv:2004.10706, 2020. f BGD: Learning Embeddings From Positive Unlabeled Data with BGD Fajie Yuan, 1Xin Xin, Xiangnan He,2 Guibing Guo,3 Weinan Zhang,4 Chua Tat-Seng2 and Joemon M. Jose1 University of Glasgow, UK1, National University of Singapore, Singapore2 Northeastern University, China3, Shanghai Jiao Tong University, China4, {f.yuan.1,x.xin.1,Joemon.Jose}@research.gla.ac.uk , xiangnanhe@gmail.com We highlight two critical issues of ex-isting works. Github; YouTube; Web, IR and NLP Public Reading Group. Skip to content . Data-driven Answer Selection in Community QA Systems. Deep Recurrent Quantization for Generating Sequential Binary Codes, IJCAI 2019. Homepage of Illidan Lab @ Michigan State. Zhiyong Cheng 1, Ying Ding2, Xiangnan He , Lei Zhu3, Xuemeng Song4, Mohan Kankanhalli1, 1National University of Singapore; 2Vipshop Inc., USA 3Shandong Normal University, China; 4Shandong University, China fjason.zy.cheng, ian.yingding, leizhu0608, sxmustcg@gmail.com, mohan@comp.nus.edu.sg Abstract Current recommender systems consider the various aspects of items for making accurate … All gists Back to GitHub. Hide content and notifications from this user. Despite significant progress in supervised hashing, there are three common limitations of existing methods. IEEE TKDE, Accept, 2020. Get paid for your ML skills Log In/Sign Up Xiangnan He Contact author. Embed. • Google Scholar • GitHub. Bin Wu, Xiangnan He, Yun Chen, Liqiang Nie, Kai Zheng & Yangdong Ye. Xiaochi Wei, Heyan Huang, Liqiang Nie, Hanwang Zhang, Xian-Ling Mao, Chua, Tat-Seng . StereoGAN: Bridging Synthetic-to-Real Domain Gap by Joint Optimization of Domain Translation and Stereo Matching [] Rui Liu, Chengxi Yang, Wenxiu Sun, Xiaogang Wang, Hongsheng Li. Conditional Adversarial Generative Flow for Controllable Image Synthesis GitHub Gist: instantly share code, notes, and snippets. Xin Luo, Liqiang Nie, Xiangnan He, Ye Wu, Zhen-Duo Chen, Xin-Shun Xu. WWW 2017. Xiangnan He , Zhankui He, Jingkuan Song , Zhenguang Liu, Yu-Gang Jiang , and Tat-Seng Chua Abstract—Item-to-item collaborative filtering (aka.item-based CF) has been long used for building recommender systems in industrial settings, owing to its interpretability and efficiency in real-time personalization. I am a first year Ph.D in Department of Computer Science at SMU, advised by Professor Jing Jiang. Xiangnan He is the corresponding author. “An Overview of Microsoft Academic Service (MAS) and Applications.” WWW, 2015, pp. Xiangnan He, Lizi Liao, Hanwang Zhang, Liqiang Nie, Xia Hu, Tat-Seng Chua. Heinrich, Gregor. An ordered collection of past items the user has interacted with in a session (or sequence) are embedded into a 2-dimensional latent matrix, and treated as an image. Sign in to view email; Block or report user Report or block nzc. (中科院大类二区期刊, Q1, CCF Rank A , Impact Factor: 4.935) Bin Wu, Xiangnan He, Zhongchuan Sun, Liang Chen & Yangdong Ye. Parameter estimation for text analysis; Resnik, Philip, and Eric Hardisty. Skip to content. I have over 20 publications appeared in several top conferences such as SIGIR, WWW, and ACMMM, and journals including TKDE and TOIS. • CV • Google Scholar • GitHub. Xiangnan He∗ University of Science and Technology of China xiangnanhe@gmail.com Yixin Cao National University of Singapore caoyixin2011@gmail.com Meng Liu Shandong University mengliu.sdu@gmail.com Tat-Seng Chua National University of Singapore dcscts@nus.edu.sg ABSTRACT Toprovidemoreaccurate,diverse,andexplainablerecommendation, What would you like to do? Pdf; Venue Prediction for Social Images by Exploiting Rich Temporal Patterns in LBSNs. View Xiangnan He's profile, machine learning models, research papers, and code. Gibbs sampling for the uninitiated ; Knight, Kevin. GitHub Gist: instantly share code, notes, and snippets. My work on recommender system has received the Best Poster Award in WWW 2018. Xiangnan He National University of Singapore Singapore xiangnanhe@gmail.com ABSTRACT Convolutional Neural Networks (CNNs) have been recently intro-duced in the domain of session-based next item recommendation. His research interests include multimodal computing, information retrieval, and recommender system, particular in multimedia personalized recommendation and explainable fake news detecation. Pinyin-Emoji Dictionary for Squirrel. sg Tat - Seng Chua , School of Computing , National University of Singapore , Singapore 117417 , dcscts @ nus . TensorFlow Implementation of Attentional Factorization Machine - hexiangnan/attentional_factorization_machine SIGIR ‘20; Wang, Lucy Lu, et al. GitHub Gist: instantly share code, notes, and snippets. Perth, Australia, April 2017 . All gists Back to GitHub. , Xiangnan He, Yisong Miao, Qingyun Wu, Xiangnan He, Lei Zhu, Xuemeng Song, Zhu. And David M. Blei Li at Polyu @ HK, really thanks maggie. Group will be conducted as a group seminar, with class participants nominating themselves and the... The topics of Min-Yen Kan and Tat Seng Chua, Tat-Seng Chua ( 2017 ),... Apply … Xiangnan He, Yisong Miao, Qingyun Wu, Richang,. Nzc 's gists by xiangnan he github an account on github External Knowledge Base Dataset. ” ArXiv Preprint ArXiv:2004.10706,.! Yi Yang … Last update: September 10, 2020 media sites [ 10 ], [ ]. Xiang Wang, Lucy Lu, et al Recommendation with Attention Network, 2019. Zheng & Yangdong Ye wenqiang Lei, Xiangnan He, Liqiang Nie, Hanwang Zhang, xiang Wang, Gao! 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