g, If you want contact administrator site clicking the follow button, Central Library 2014/2015: Sem. Popular micro-videos have enormous commercial potential in many ways, such as online marketing and brand tracking. Sem. Immunotherapy. Chi-Hwa WANG, Professor of National University of Singapore, Singapore (NUS) | Read 343 publications | Contact Chi-Hwa WANG 34:3296-304. WANG XIANG: Keywords: Personalized Recommendation, Cross Channel, Social Recommendation, Explainable Recommendation, Knowledge-aware Recommendation, Auxiliary Data: Issue Date: 10-Aug-2018: Citation: WANG XIANG (2018-08-10). To alleviate this problem, we aim to label the bite-sized video clips with venue categories. Assistant Professor. 1 Gao Jinyang Wang Sheng Wang Wei Yang Lusi . The booming of social networks has given rise to a large volume of user-generated contents (UGCs), most of which are free and publicly available. Office: HFH-2121. Different from traditional long videos, micro-videos are much shorter and usually recorded at a specific place with mobile devices. Email. 2019 Dec 24; 16:75-85. u His early research was at the Monash Centre for Molecular Biology and Medicine. The prestigious NUS Alumni Awards was set up on the occasion of NUS Centennial Celebrations in 2005 to celebrate and honour alumni who have distinguished themselves through significant and impactful contributions to their alma mater, society and the world. Towards this end, we present... Join ResearchGate to find the people and research you need to help your work. Zha S, Li Z, Chen C, Du Z, Tay JC, Wang S. Beta-2 microglobulin knockout K562 cell-based artificial antigen presenting cells for ex vivo expansion of T lymphocytes. He has supervised and graduated seven PhD students and twelve MSc students at NUS. Department of Computer Science, and Department of Statistics (By Courtesy) Co-Director, Center for Responsible Machine Learning . It is, however, nontrivial due to three reasons: 1) no... Micro-videos, a new form of user generated contents (UGCs), are gaining increasing enthusiasm. Xiaonan Wang*, Miao Guo, Rembrandt H.E.M. Eugene Aas Chair Assistant Professor. Incorporating knowledge graph (KG) into recommender system is promising in improving the recommendation accuracy and explainability. Prof Wang is a Professor in the Programme in Emerging Infectious Diseases at Duke-NUS Medical School, Singapore. MSc in Quantitative Finance (NUS-SJTU MQF) (Prospective Students) MSc in Quantitative Finance (NUS-SJTU MQF) (Current Students) ... WANG Ziyi: Aug 2019: WEE Xiang Wen: Aug 2020: WU Jiwei: Aug 2019: WU Yifan: Aug 2019: WU Yueduxin: Aug 2020: XIANG Siyuan: Aug 2020: XIAO Yunqi: Aug 2020: XIE Jiamin: Aug 2020: XIE Yuwei: Aug 2019: XIN Xuan: Aug 2019 : YAN Ruimin: Aug 2020: YAN Yinshan: … Educations Ph.D., National University of Singapore Aug 2014 - Feb 2019 School of Computing, Advisor: KITHCT Chair … Sem. Office: HFH-2121. Traditional methods like factorization machine (FM) cast it as a supervised learning problem, which assumes each interaction as an independent instance with side information encoded... Understanding the mix-and-match relationships of fashion items receives increasing attention in fashion industry. At NUS, Dr. Wang has been successful in attracting external research grants from industry, such as Nokia and Smule, as well as grant agencies including A*Star, NRF, and MOE. Z.S. * Department of Computer Science, and Department of Statistics (By Courtesy) Co-Director, Center for Responsible Machine Learning . Accordingly, how to organize them draws our attention. Isoprenylcysteine carboxylmethyltransferase regulates mitochondrial respiration and cancer cell metabolism. 44:189-192. Many professional organizations produce regular reports of social indicators to monitor social progress. The venues... Stock prediction aims to predict the future trends of a stock in order to help investors to make good investment decisions. WANG Hao, Victor. 12 Kent Ridge Crescent Abstract: In the era of information overload, recommender system has gained widespread adoption across industry to drive various online customer-oriented services. Location EA-02-05. 王西安; * 1944 im Distrikt Xinyang der Stadt Zhengzhou, Provinz Henan) ist ein Hauptvertreter des Chen-Stil Taijiquan (Schattenboxen) in der 19. Wang, R. Hou, and A. Efremov, “Directional fidelity of nanoscale motors and particles is limited by the 2nd law of thermodynamics—Via a universal equality”, J. Chem. c TENG Xiang Research Associate, Mechanobiology Institute, National University of Singaporembiteng@nus.edu.sg Level 10 T-Lab National University of Singapore 5A Engineering Drive 1 Singapore 117411 Teng Xiang Research Associate Principal Investigator Yusuke Toyama Nevertheless, each question in the returned candidate pool often associates with multiple answers, and hence users have to painstakingly browse a lot before finding the correct one. Most recently, he studies full counting statistics of heat transport in junctions. “A nexus approach for sustainable urban Energy-Water-Waste systems planning and operation”, Environmental science & technology 52, 5 (2018): 3257–3266. Despite their reasonable results and societal value, early efforts on social indicator computing suffer from three problems: 1) labor-intensive data gathering, 2) insufficient data, and 3) expert-relied data fusion. Prof Wang Gungwu has been University Professor at NUS Arts and Social Sciences since 2007, and Emeritus Professor of the Australian National University since 1988. * To alleviate this problem, the factorization machine (FM) is... Item-based Collaborative Filtering (ICF) has been widely adopted in recommender systems in industry, owing to its strength in user interest modeling and ease in online personalization. Wang Xiang (185–269), courtesy name Xiuzheng, was a Chinese politician who lived through the late Eastern Han dynasty (25–220), the Three Kingdoms period (220–280), and the early Western Jin dynasty (265–316) of China. However, such finding is mostly restricted to the collaborative filtering (CF) scenario, where the interaction contexts are not available. Information Retrieval Data Mining Recommender System. Incorporating knowledge graph into recommender systems has attracted increasing attention in recent years. Prof. Xiang has been very active in various services to International Academic Community. He is Foreign Honorary Member of the History Division of the American Academy of Arts and Science and former President of the Australian Academy of the Humanities. This is a general yet challenging vision-language task since it requires not only the localization of moments, but also the multimodal comprehension of textual-temporal information (e.g., "... Micro-videos have rapidly become one of the most dominant trends in the era of social media. Fashion outfit recommendation has attracted increasing attentions from online shopping services and fashion communities.Distinct from other scenarios (e.g., social networking or content sharing) which recommend a single item (e.g., a friend or picture) to a user, outfit recommendation predicts user preference on a set of well-matched fashion items.... Recognizing ingredients for a given dish image is at the core of automatic dietary assessment, attracting increasing attention from both industry and academia. This makes various biases widely exist in the data, including but not limited to select... Graph neural networks (GNNs) have shown great potential for personalized recommendation. CHEUNG Wang Chi. How to Learn Item Representation for Cold-Start Multimedia Recommendation? NUS-ANU (FoS) Joint Degree Programme; French Double Degree Programme (FDDP) Other Programmes. Assistant Professor. Existing wor... To provide more accurate, diverse, and explainable recommendation, it is compulsory to go beyond modeling user-item interactions and take side information into account. Traditional recommendation systems estimate user preference on items from past interaction history, thus suffering from the limitations of obtaining fine-grained and dynamic user preference. Xiang Yu (Chinese: 項羽; pinyin: Xiàng yǔ, c. 232 –202 BC), born Xiang Ji (項籍), was the Ba Wang (霸王) or Hegemon-King of Western Chu during the Chu–Han Contention period (206–202 BC) of China. (65) 6516-3851 /-3856 /-3853. Dr. Xiang Wang is a research fellow with School of Computing, National University of Singapore (NUS). 2015/2016: Sem. Shandong University of Finance and Economics, Nanjing University of Science and Technology, Rutgers, The State University of New Jersey, Neural Networks and Artificial Intelligence, Shorter-is-Better: Venue Category Estimation from Micro-Video, Micro Tells Macro: Predicting the Popularity of Micro-Videos via a Transductive Model, Data-Driven Answer Selection in Community QA Systems, Unifying Virtual and Physical Worlds: Learning Toward Local and Global Consistency, Item Silk Road: Recommending Items from Information Domains to Social Users, Self-supervised Graph Learning for Recommendation, Graph-Refined Convolutional Network for Multimedia Recommendation with Implicit Feedback. Previous models largely follow a general supervised learning paradigm --- treating each interaction as a separate data instance and performing prediction based on the ''information isolated island''. Defekt melden. Emails: Kenneth Wang Ye obtained his Master of Laws from New York University with a specialization in International Legal Studies, and his Bachelor of Laws from the NUS, where he was recipient of the KK Menon Scholarship, the NUS Society Medal for Outstanding Achievement, and various book prizes. Such methods, however, overlook the relation... Personalized recommendation plays a central role in many online content sharing platforms. Publications All; Articles; Show/Hide filters Author 25 Xiang Wang; 24 Tat-Seng Chua; 17 Xiangnan He; 5 Liqiang Nie; 4 Liqiang Nie. Zhe Jin Graduate Tutor & PhD Student (SOC '17) dcsjinz@nus.edu.sg © 2008-2021 ResearchGate GmbH. AY2018/19 Project … 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. Tan Tianhui. However, manually crafting cross features usually requires extensive domain knowledge and labor-intensive feature engineering to obtain the desired cross features. Ng YY, Tay JCK, Wang S. CXCR1 Expression to Improve Anti-Cancer Efficacy of Intravenously Injected CAR-NK Cells in Mice with Peritoneal Xenografts. eaiwgw@nus.edu.sg . 1 Dumitrel Loghin Jia Yaoqi Shen Yi. This leads to the success of graph convolution networks (GCNs) for recommendation such as PinSage and LightGCN. Meister Xiang Wang (Kochartist, Buchautor und mehrfacher Gewinner verschiedener Schnitzwettbewerbe von Europa bis China) ist der Urvater der chinesischen Obst- und Gemüseschnitzkunst in Europa. Fuli Feng Ph.D. of School of Computing, National University of Singapore Verified email at comp.nus.edu.sg. Email. Nevertheless, existing negative sampling strategies, either static or adaptive ones, are insufficient to yield high-quality negative sample... Graph Convolution Network (GCN) has become new state-of-the-art for collaborative filtering. SCHOOL OF COMPUTING . A lot of users' personal aspects can be extracted from these UGCs to facilitate personalized applications as validated by many previous studies. 2 Aleksandr Farseev Liu Ye Luu The Loi Wang Zhiyi. DEPT OF COMPUTER SCIENCE . * Education PhD (Chemistry): KTH Royal Institute of Technology, 2015 MSc, BSc (Chemical Engineering): Dalian University of Technology, 2011 Research Interests (Photo) Electrocatalysis Sustainable Fuels and Chemicals from Abundant Molecules Green Chemistry and Engineering Selected Publications L. Wang, D.C. Higgins, Y. Ji, C. G. Morales-Guio, K. Chan, C. Hahn, and T. F. Jaramillo. A 'read' is counted each time someone views a publication summary (such as the title, abstract, and list of authors), clicks on a figure, or views or downloads the full-text. Yu-Xiang Wang 王宇翔 . School of Computing, National University of Singapore. Genre: Action Alltagsleben Fantasy Komödie. Molecular Therapy Oncolytics. Manufacturing. Properly handling missing data is a fundamental challenge in recommendation. Yixin Cao Nanyang Technological University Verified email at ntu.edu.sg. WANG XIANG. Profile Other ... Wang, G. Gungwu, W. Main Affiliation. Main Affiliation. Distinct from the traditional long videos that would have multi-site scenes and tolerate the hysteresis, a micro-video: 1) usually records contents at one specific venue within a few seconds. Finden Sie Top-Angebote für Profi Nietmutternzange Set Nietmaschine Gewinde Nuss Nieten M3 - M10 Werkzeug bei eBay. According to our statistics on over 2 million micro-videos, only 1.22% of them are associated with venue information, which greatly hinders the location-oriented applications and personalized services. DOI: 10.1021/acs.est.7b04659 Sorry, you need to be a researcher to join ResearchGate. Crossref. Wang Xiang et al. Duck, Ruyi Ji, Yingfei Xiong, ... Xiang Gao, Shin Hwei Tan, Zhen Dong, Abhik Roychoudhury 33rd International Conference on Automated Software Engineering (ASE) 2018. Teh JT, Zhu WL, Ilkayeva OR, Li Y, Gooding J, Casey PJ, Summers SA, Newgard CB, Wang M (2014) Oncogene. In the past few years, language-based video retrieval has attracted a lot of attention. However, as a natural extension, localizing the specific video moments within a video given a description query is seldom explored. While recent years have witnessed a rapid growth of research papers on recommender system (RS), most of the papers focus on inventing machine learning models to better fit user behavior data. Engr (NUS, Singapore) Currently: University of Sussex, UK Tenure-track faculty Wang Xian (auch Wang Xi'an, chin. Wang Xiangsui (王湘穗, born October 1, 1954) is a professor at Beihang University in Beijing, China and a retired senior Colonel in the People's Liberation Army. Xiang Wang Mobile: (+65) 93868158 Email: xiangwang@u.nus.edu Website: https://xiangwang1223.github.io/ Research Interests Information Retrieval, Multimedia, and Explainable AI, covering Recommender Systems, Graph Learning, and Social Media Analysis. Zhang Hao. Representation learning on user-item graph for recommendation has evolved from using single ID or interaction history to exploiting higher-order neighbors. Due to our privacy policy, only current members can send messages to people on ResearchGate. faswgw@nus.edu.sg . Phys. At the core is to reorganize interaction data as a user-item bipartite graph and exploit high-order connectivity among user and item nodes to enrich their representations. Xian Wang De Ri Chang Sheng Huo GerSub . How to Learn Item Representation for Cold-Start Multimedia Recommendation? PhD (with cum laude title), University of Nijmegen, The Netherlands (1993) Professor. Existing methods have primarily utilized the visual content to learn the visual compatibility and performed matching in a latent space. embeddings) of users and items lies at the core of modern recommender systems. He is currently supervising six PhD students. To better understand the semantics of a micro-video and facilitate downstream applications, it is crucial to estimate the venue where the micro-video is recorded, for example, in a concert or on a beach. NeurIPS 2019 [arXiv][blog] E-mail: yuxiangw AT cs.ucsb.edu Yu-Xiang is pronounced approximately as ['ju:'ʃi:ʌŋ], namely, y~eu~ee - sh~ih~ah~ng . AS2, #03-01, 1 Arts Link, Kent Ridge, Singapore 117570. In KDD 2019. Faculty. KGAT: Knowledge Graph Attention Network for Recommendation. While collaborative filtering is the dominant technique in personalized recommendation, it models user-item interactions only and cannot provide concrete reasons for a recommendation. 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