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