Xia "Ben" Hu

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Huan LiuRegents Professor, Arizona State UniversityVerified email at asu.edu
Mengnan DuAssistant Professor, New Jersey Institute of TechnologyVerified email at njit.edu
Ninghao LiuAssistant Professor, University of GeorgiaVerified email at uga.edu
Jiliang TangUniversity Foundation Professor of Computer Science and Engineering, Michigan State UniversityVerified email at msu.edu
Daochen ZhaAirbnb, Rice University, Texas A&M UniversityVerified email at rice.edu
Fan YangAssistant Professor of Computer Science, Wake Forest UniversityVerified email at wfu.edu
Kaixiong ZhouMIT, NCSUVerified email at ncsu.edu
Ruixiang (Ryan) TangAssistant Professor of Computer Science, Rutgers UniversityVerified email at rutgers.edu
Tat-Seng ChuaNational University of SingaporeVerified email at comp.nus.edu.sg
Xiao HuangAssistant Professor at The Hong Kong Polytechnic UniversityVerified email at comp.polyu.edu.hk
Zirui (Ray) LiuAssistant Professor of Computer Science, University of Minnesota at Twin CitiesVerified email at umn.edu
Kwei-Herng (Henry) LaiApple, Rice UniversityVerified email at rice.edu
Jundong LiAssistant Professor, University of VirginiaVerified email at virginia.edu
Huiji GaoAirbnbVerified email at airbnb.com
Zhimeng JiangResearch Scientist, Visa ResearchVerified email at visa.com
Rui ChenChief Scientist, Samsung Ads / Senior Director of Engineering (AI), Samsung Research AmericaVerified email at samsung.com
Yuening LiGoogleVerified email at google.com
Guanchu WangRice UniversityVerified email at rice.edu
Qiaoyu (Smach) TanAssistant Professor of Computer Science, New York University (Shanghai)Verified email at nyu.edu
Shaochen (Henry) ZhongRice UniversityVerified email at rice.edu

Xia "Ben" Hu

Other namesXia Hu

Associate Professor of Computer Science, Rice University

Verified email at rice.edu - Homepage

Data Mining Machine Learning Explainable Artificial Intelligence Automated Machine Learning Large Language Models


Title Sort by citations Sort by year Sort by title	Cited by Cited by	Year
Neural collaborative filtering X He, L Liao, H Zhang, L Nie, X Hu, TS Chua Proceedings of the 26th international world wide web conference, 2017	7057	2017
Techniques for interpretable machine learning M Du, N Liu, X Hu Communications of the ACM 63 (1), 68-77, 2019	1404	2019
Auto-Keras: An Efficient Neural Architecture Search System H Jin, Q Song, X Hu Proceedings of the 25th ACM SIGKDD International Conference on Knowledge …, 2019	1191*	2019
Score-CAM: Score-Weighted Visual Explanations for Convolutional Neural Networks H Wang, Z Wang, M Du, F Yang, Z Zhang, S Ding, P Mardziel, X Hu Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2020	1040	2020
Exploring temporal effects for location recommendation on location-based social networks H Gao, J Tang, X Hu, H Liu Proceedings of the 7th ACM conference on Recommender systems, 93-100, 2013	631	2013
Social recommendation: a review J Tang, X Hu, H Liu Social Network Analysis and Mining 3 (4), 1113-1133, 2013	629	2013
Label informed attributed network embedding X Huang, J Li, X Hu Proceedings of the Tenth ACM International Conference on Web Search and Data …, 2017	553	2017
Unsupervised sentiment analysis with emotional signals X Hu, J Tang, H Gao, H Liu Proceedings of the 22nd international conference on World Wide Web, 607-618, 2013	511	2013
Harnessing the power of llms in practice: A survey on chatgpt and beyond J Yang, H Jin, R Tang, X Han, Q Feng, H Jiang, S Zhong, B Yin, X Hu ACM Transactions on Knowledge Discovery from Data 18 (6), 1-32, 2024	483	2024
Exploiting social relations for sentiment analysis in microblogging X Hu, L Tang, J Tang, H Liu Proceedings of the sixth ACM international conference on Web search and data …, 2013	447	2013
Attributed network embedding for learning in a dynamic environment J Li, H Dani, X Hu, J Tang, Y Chang, H Liu Proceedings of the 2017 ACM on Conference on Information and Knowledge …, 2017	405	2017
Content-aware point of interest recommendation on location-based social networks H Gao, J Tang, X Hu, H Liu Proceedings of the 29th AAAI Conference on Artificial Intelligence, 2015	392	2015
Xgnn: Towards model-level explanations of graph neural networks H Yuan, J Tang, X Hu, S Ji Proceedings of the 26th ACM SIGKDD International Conference on Knowledge …, 2020	388	2020
Exploiting homophily effect for trust prediction J Tang, H Gao, X Hu, H Liu Proceedings of the sixth ACM international conference on Web search and data …, 2013	372	2013
Accelerated attributed network embedding X Huang, J Li, X Hu Proceedings of the 2017 SIAM International Conference on Data Mining, 633-641, 2017	359	2017
Exploiting internal and external semantics for the clustering of short texts using world knowledge X Hu, N Sun, C Zhang, TS Chua Proceeding of the 18th ACM conference on Information and knowledge …, 2009	352	2009
Social media for intelligent public information and warning in disasters: An interdisciplinary review C Zhang, C Fan, W Yao, X Hu, A Mostafavi International Journal of Information Management 49, 190-207, 2019	318	2019
An Overview of Sentiment Analysis in Social Media and Its Applications in Disaster Relief G Beigi, X Hu, R Maciejewski, H Liu Sentiment Analysis and Ontology Engineering, 313-340, 2016	298	2016
Text Analytics in Social Media X Hu, H Liu Mining Text Data, 385-414, 2012	283	2012
Tensor completion algorithms in big data analytics Q Song, H Ge, J Caverlee, X Hu ACM Transactions on Knowledge Discovery from Data (TKDD) 13 (1), 6, 2019	278	2019

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