News

[03/2019]: Congratulations to Fan Yang for receiving the IAP Research Competition Award, and to Qingquan Song for receiving the Graduate Research Excellence Award!
[08/2018]: Posted a survey paper on interpretable machine learning.
[06/2018]: Pre-released Auto-Keras (>4,000 stars on Github) on automated machine learning. Check the preprint here.
[06/2018]: Our Neural Collaborative Filtering package has become the officially recommended recommendation model in TensorFlow :) Check the WWW2017 paper here.
[04/2018]: ACM TKDD survey paper on tensor completion algorithms in big Data analytics and the corresponding python package PyTen.
[10/2017]: Released the Data & Code of our recent work on data-driven network embedding.
[08/2018]: I will serve as the Social Networking Chair for the 22nd ACM SIGKDD Conference on Knowledge Discovery and Data Mining (KDD 2018)
[07/2018]: Grateful to receive an NSF SaTC grant, as the PI, to support our research on adversarial machine learning!
[06/2018]: Grateful to receive a grant from the W.M. Keck Foundation, as the co-PI, to support our research on smart and connected communities!
[06/2018]: Started serving as associate editor for ACM Transactions on Intelligent Systems and Technology (ACM TIST).
[05/2018]: Three papers on Interpretable Machine Learning accepted by KDD 2018. Congratulations Ninghao and Mengnan!
[02/2018]: Grateful to receive NSF CAREER Award!
[03/2018]: Grateful to be named as a TEES Young Faculty Fellow!
[11/2017]: Invited to serve on the review panel for the prestigious Heidelberg Laureate Forum.
[11/2017]: Grateful to receive the Engineering Genesis Award from Texas A&M Engineering Experiment Station.
[11/2017]: Our paper on modeling personalized social influence is accepted by AAAI 2018. Congratulations Zepeng and Xiao!
[10/2017]: Our paper on modeling human cognition is accepted by WSDM 2018, making a preliminary step towards human-centric computing. Congratulations Xiao and QQ!
[10/2017]: Xiao Huang is nominated by the Department of Computer Science and Engineering for participating in the MS Research Fellowship competition. Congratulations Xiao!
[10/2017]: Grateful to receive a research award from Alibaba Group, as the PI, to support our research on developing deep learning algorithms for graph computing!
[10/2017]: Grateful to receive a grant from Apple Inc., as the PI, to support our research on anomaly detection!
[10/2017]: Grateful to receive a grant from Ingersoll Rand, as the Co-PI, to support our research on multi-modal deep learning!
[09/2017]: Grateful to receive two RAPID grants from NSF, as the Co-PI, to support our research on disaster relief!
[08/2017]: Call for paper: Interpretable Data Mining (IDM) Workshop in conjunction with ACM International Conference on Information and Knowledge Management (CIKM 2017)
[08/2017]: Call for proposals and participants: Networking with Experts Forum, in conjunction with KDD 2017
[08/2017]: Grateful to receive an NSF grant from the IIS core program, as the lead PI, to support our research on data-driven dynamic attributed network analytics!
[06/2017]: One paper on learning wellness representation of social media users is accepted by IEEE Transactions on Knowledge and Data Engineering
[05/2017]: One paper on An Interpretable Classification Framework for Information Extraction from Online Healthcare Forums is accepted by the Journal of Healthcare Engineering
[05/2017]: One paper on Multi-Aspect Streaming Tensor Completion is accepted by KDD 2017
[05/2017]: Xiao Huang received the SDM'17 Doctoral Forum Best Poster Runner-Up Award! Congratulations!
[05/2017]: Grateful to receive a grant from DARPA, as the PI, to support our research on developing interpretable machine learning models!
[04/2017]: Two papers on residual analysis for anomaly detection, and accelerated local anomaly detection are accepted by IJCAI 2017
[04/2017]: One paper on facilitating time critical information seeking in social media is accepted by IEEE Transactions on Knowledge and Data Engineering
[04/2017]: One paper on learning user topical profiles is accepted by SIGIR 2017
[04/2017]: Call for paper: 6th Workshop on Data Mining for Medicine and Healthcare, in conjunction with SDM 2017
[04/2017]: Grateful to receive a grant from DARPA, as the PI, to support our research on developing automatic composition of machine learning models!
[03/2017]: Grateful to receive an AggiE-Challenge grant from the College of Engineering at Texas A&M, as one of the PIs, to support undergraduate students research on smart and resilient urban infrastructure systems!
[02/2017]: Grateful to receive an NSF CRII grant (IIS-1657196), as the sole PI, to support our research on analyzing large-scale and complex attributed networks!
[02/2017]: Grateful to receive a grant from KC Sence Limited, as the sole PI, to support our research on deep learning!
[02/2017]: Three papers (one regular and two poster papers), on adaptive spammer detection, camouflaged content polluters, and trending topic identification, respectively, are accepted by ICWSM 2017
[01/2017]: I will serve as the Social Networking Chair for the 21st ACM SIGKDD Conference on Knowledge Discovery and Data Mining (KDD 2017)
[12/2016]: Two papers, one on network embedding and the other on early rumor detection, are accepted by SDM 2017
[12/2016]: One paper on neural collaborative filtering is accepted by WWW 2017
[09/2016]: One paper on label informed attributed network embedding is accepted by WSDM 2017
[09/2016]: One paper on time-evolving feature selection is accepted by ICDM 2016
[08/2016]: One paper collaborating with VA researchers on Understanding and Predicting Rapid Progression of Carotid Atherosclerosis is accepted by EURASIP Journal on Bioinformatics and Systems Biology
[08/2016]: Grateful to receive an invitation, with travel grant from The NSF South BD Hub, to attend a workshop on High Impact Applications of Data Science in Precision Medicine, Health Analytics, and Health Disparities
[08/2016]: Grateful to receive a grant from DARPA, as the co-PI, to support our research on developing machine learning algorithms to advance next generation social science!
[07/2016]: Honored to receive the Best Paper Award from IJCAI-BOOM workshop! The paper is on "On the Organization and Retrieval of Health QA Records for Community-based Health Services"
[07/2016]: One paper on "Data Summarization with Social Contexts" is accepted by CIKM 2016
[06/2016]: Thanks Nvidia for the donation of GPU cards!
[05/2016]: Grateful to receive an invitation, with travel grant, to attend Adobe's Data Science Symposium
[05/2016]: Honored to receive the PEPI award, in collaboration with UnitedHealthcare, from The NSF South BD Hub
[05/2016]: One paper on learning geographical hierarchy features is accepted by IEEE Transaction on Multimedia
[02/2016]: Grateful to receive an invitation with travel grant to attend the Transatlantic Data Science Workshop hosted by Stanford University, NIH and RCUK with support from NSF
[02/2016]: One full paper on user age prediction, and two short papers on understanding rhetorical questions and exploring personal attributes from social media are accepted by ICWSM 2016
[12/2015]: One paper on "Robust Unsupervised Feature Selection on Networked Data" is accepted by SDM 2016
[11/2015]: One paper on "An Overview of Sentiment Analysis in Social Media and Its Applications in Disaster Relief" is accepted by the edited volume on Sentiment Analysis and Ontology Engineering: An Environment of Computational Intelligence
[11/2015]: Three papers on "From Tweets to Wellness: Wellness Event Detection from Twitter Streams", "Predicting Online Protest Participation of Social Media Users", and "Recommendation with Social Dimensions" are accepted by AAAI 2016
[10/2015]: One paper on "CPB: A Classification based Approach for Burst Time Prediction in Cascades" is accepted by Knowledge and Information Systems (KAIS) Journal
[10/2015]: Two papers on "Understanding and Identifying Advocates of Political Campaigns on Social Media" and "Relational Learning with Social Status Analysis" are accepted by WSDM 2016
[08/2015]: One demo paper on "Social Answer: A System for Finding Appropriate Sites for Questions in Social Media" is accepted by ICDM 2015
[08/2015]: One paper on "Finding Time-Critical Responses for Information Seeking in Social Media" is accepted by ICDM 2015
[06/2015]: One paper on "Unsupervised Streaming Feature Selection in Social Media" is accepted by CIKM 2015
[06/2015]: One paper on "Embracing Information Explosion without Choking: Clustering and Labeling in Microblogging" is accepted by IEEE Transactions on Big Data
[06/2015]: One paper on "Finding the Right Social Media Site for Questions" is accepted by ASONAM 2015
My first paper with Texas A&M :)