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