Star 0 Fork 0; Code Revisions 5. Contact Support about this user’s behavior. TEM: Tree-enhanced Embedding Model for Explainable Recommendation. Program Committee. Liang Chen, Yang Liu, Xiangnan He, Lianli Gao, Zibin Zheng. (CCF A) Jingkuan Song, Xiaosu Zhu, Lianli Gao, Xin-Shun Xu, Wu Liu, Heng Tao Shen. In IJCAI, 2018. “Modeling Product’s Visual and Functional Characteristics for Recommender Systems”. Embed. I am a first year Ph.D in Department of Computer Science at SMU, advised by Professor Jing Jiang. • 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, First, most pioneer methods discretely learn hash codes bit by bit, making the learning procedure rather time-consuming. lembacon / luna_pinyin.emoji.dict.yaml. Practical Gremlin - An Apache TinkerPop Tutorial. 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. “CORD-19: The Covid-19 Open Research Dataset.” ArXiv Preprint ArXiv:2004.10706, 2020. His research interests include information retrieval, data mining, and explainable AI, particularly in recommender systems, graph learning, and social media analysis. “An Overview of Microsoft Academic Service (MAS) and Applications.” WWW, 2015, pp. sg Tat - Seng Chua , School of Computing , National University of Singapore , Singapore 117417 , dcscts @ nus . In ACM MM, 2017 oral, CCF A, (~7.5% acceptance rate). Sign in to view email; Block or report user Report or block nzc. Skip to content. Research Fellow with School of Computing, National University of Singapore. Add to Firefox. 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. Skip to content. Gibbs sampling for the uninitiated ; Knight, Kevin. In TKDE, 2017, CCF A. Jianglong Zhang, … • Google Scholar • GitHub. • CV • Google Scholar • GitHub. View Xiangnan He's profile, machine learning models, research papers, and code. Pinyin-Emoji Dictionary for Squirrel. Despite significant progress in supervised hashing, there are three common limitations of existing methods. Embed. Webpage template borrows from Xiangnan He. In International World Wide Web Conference (WWW’18). GitHub Gist: instantly share code, notes, and snippets. I also co-work with Dr. Wenjie (maggie) Li at Polyu@HK, really thanks to maggie for her kindly teaching. Xiang Wang, Xiangnan He, Fuli Feng, Liqiang Nie, Tat-Seng Chua (2018). The … Variance Reduction in Gradient Exploration for Online Learning to Rank (Best Paper Award) Huazheng Wang, Sonwoo Kim, Eric … I am a research fellow in NExT++, School of Computing, National University of Singapore. Created Sep 30, 2016. Pdf; Venue Prediction for Social Images by Exploiting Rich Temporal Patterns in LBSNs. edu. Contribute to krlawrence/graph development by creating an account on GitHub. Liqiang Nie, Xiang Wang, Jianglong Zhang, Xiangnan He, Hanwang Zhang, Richang Hong, Qi Tian: Enhancing Micro-video Understanding by Harnessing External Sounds. I have over 20 publications appeared in several top conferences such as SIGIR, WWW, and ACMMM, and journals including TKDE and TOIS. All gists Back to GitHub. IEEE Conference on Computer Vision and Pattern Recognition (CVPR 2020).. Claim your profile and join one of the world's largest A.I. Perth, Australia, April 2017 . Matching User with Item Set: Collaborative Bundle Recommendation with Attention Network, IJCAI 2019. Shen, Zhihong, et al. IEEE TKDE, Accept, 2020. Xiang Wang, Xiangnan He, Liqiang Nie, Tat-Seng Chua (2017). To apply … Item Silk Road: Recommend-ing Items from Information Domains to Social Users. 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 … Neurocomputing, 274: 29-36, 2018. GitHub Gist: instantly share code, notes, and snippets. GitHub Gist: star and fork nzc's gists by creating an account on GitHub. Bayesian Inference and Gibbs Sampling. Manuscript received Aug 1, 2018. friends in social media sites [10], [11]. All gists Back to GitHub. 26th International World Wide Web Conference. Sinha, Arnab, et al. Xiangnan He, et al. My work on recommender system has received the Best Poster Award in WWW 2018. edu . Liqiang Nie, Xiaochi Wei, Dongxiang Zhang, Xiang Wang, Zhipeng Gao, Yi Yang. All gists Back to GitHub. sg Publications (Google Scholar Profile). 243–246. (Full paper) Pdf; Scalable Graph Based Non-negative Multi-view Embedding for Image Ranking. Zhiyong Cheng, Ying Ding, Xiangnan He, Lei Zhu, Xuemeng Song, Mohan S. Kankanhalli. 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. What would you like to do? Last active Apr 22, 2020. Skip to content . nzc. Shuhan Qi, Xuan Wang, Xi Zhang, Xuemeng Song, Zoe L. Jiang. Star 47 Fork 7 Code Revisions 6 Stars 47 Forks 7. 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. Parameter estimation for text analysis; Resnik, Philip, and Eric Hardisty. Github; YouTube; Web, IR and NLP Public Reading Group. His research interests include multimodal computing, information retrieval, and recommender system, particular in multimedia personalized recommendation and explainable fake news detecation. Fajie Yuan （Tencent）；Xiangnan He （University of Science and Technology of China） Alexandros Karatzoglou (Google Research); Liguang Zhang (Tencent) Parameter-Efficient Transfer from Sequential WWW 2017. Xiaochi Wei, Heyan Huang, Liqiang Nie, Hanwang Zhang, Xian-Ling Mao, Chua, Tat-Seng . I Know What You Want to Express: Sentence Element Inference by Incorporating External Knowledge Base. IEEE Transactions on Knowledge and … See more researchers and engineers like Xiangnan He. 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. 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. Bin Wu, Xiangnan He, Yun Chen, Liqiang Nie, Kai Zheng & Yangdong Ye. Conditional Adversarial Generative Flow for Controllable Image Synthesis Get paid for your ML skills Log In/Sign Up Xiangnan He Contact author. I got my bacherlor degree at SDU (Shandong University), supervised by Dr. Liqiang Nie (salute you bro!). (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. lukewang1024 / luna_pinyin.emoji.dict.yaml forked from lembacon/luna_pinyin.emoji.dict.yaml. - hexiangnan SIGIR 2018 SIGIR Supervised. Hide content and notifications from this user. Block user. Github; Weibo; Reading List. Lab head is Professor Jiayu Zhou. Data-driven Answer Selection in Community QA Systems. communities claim Claim with Google Claim with Twitter Claim with GitHub Claim with LinkedIn Homepage of Illidan Lab @ Michigan State. LightGCN: Simplifying and Powering Graph Convolution Network for Recommendation. Bayesian Inference with Tears-A tutorial workbook for natural language researchers; Gershman, Samuel J., and David M. Blei. 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 GitHub Gist: instantly share code, notes, and snippets. SIGIR ‘20; Wang, Lucy Lu, et al. Learn more about blocking users. 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 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. Xiangnan He, Lizi Liao, Hanwang Zhang, Liqiang Nie, Xia Hu, Tat-Seng Chua. 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. Hey Xiangnan He! 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 … Yinwei is a research fellow in NExT++, School of Computing, National University of Singapore. Our reading group will be conducted as a group seminar, with class participants nominating themselves and presenting the materials and leading the discussion. Heinrich, Gregor. Xin Luo, Liqiang Nie, Xiangnan He, Ye Wu, Zhen-Duo Chen, Xin-Shun Xu. Sign in Sign up Instantly share code, notes, and snippets. Deep Recurrent Quantization for Generating Sequential Binary Codes, IJCAI 2019. Wenqiang Lei, Xiangnan He, Yisong Miao, Qingyun Wu, Richang Hong, Min-Yen Kan and Tat Seng Chua. Xiang Wang is now a research fellow in NExT++, School of Computing, National University of Singapore. Sign in Sign up {{ message }} Instantly share code, notes, and snippets. Xiangnan He is the corresponding author. TensorFlow Implementation of Attentional Factorization Machine - hexiangnan/attentional_factorization_machine 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. Last update: September 10, 2020. Get our free extension to see links to code for papers anywhere online! • Google Scholar • GitHub. WSDM 2020 (oral presentation) . Conversational Systems, Recommender Systems and their intersections. In the Sem II of AY2020/2021, we will focus on the topics of . Add to Chrome. Xiangnan He, School of Computing, National University of Singapore, Singapore 117417, dcshex @ nus. Sign in Sign up Instantly share code, notes, and snippets. } Instantly share code, notes, and David M. Blei Tao Shen MM, oral! Qingyun Wu, Richang Hong, Min-Yen Kan and Tat Seng Chua for your skills! There are three common limitations of existing methods Philip, and recommender system has received Best... 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