News

• [2019.04]: Our paper “State-sharing Sparse Hidden Markov Models” for modeling sparse sequential data is accepted by KDD’19!
• [2019.04]: Our paper “A gradual, semi-discrete approach to generative network training via explicit Wasserstein minimization” is accepted by ICML’19!
• [2019.02]: Our book “Multidimensional Mining of Massive Text Data” has been published by Morgan & Claypool! Check it out here.
• [2018.12]: One paper on integrating heterogeneous mobility data is accepted by WWW 2019.
• [2018.12]: Two papers are accepted by SDM 2019. One is about using hidden Markov model for mobility modeling; another about cross-modal linking between text and location.
• [2018.11]: The code for our CIKM paper on weakly-supervised text classification is released. If you want to use deep neural nets to do text classification but don’t have much labeled data, try it out!
• [2018.11]: Our paper on weakly-supervised hierarchical text classification is accepted by AAAI’19.
• [2018.10]: Our paper on linear-time trajectory similarity computation is accepted by ICDE’19. It’s up to 100x faster than state-of-the-art trajectory similarity computation techniques and supports all major measures! Code will be out soon.
• [2018.08]: One paper on weakly-supervised text classification is accepted by CIKM’18. No need for excessive training data but just a few seeds. Congrats Yu!
• [2018.08]: One paper on open-domain event extraction is accepted by CIKM’18.
• [2018.08]: One paper on text cube construction without labeled data is accepted by ICDM’18.
• [2018.08]: Delivered a tutorial and presented three papers in KDD 2018@London.
• [2018.07]: Our paper on using GAN for semi-supervised learning is accepted by IMWUT’18.
• [2018.07]: Serving on the Program Committee of AAAI’19.
• [2018.07]: We will give a tutorial on multidimensional analysis of text data (website) in KDD’18.
• [2018.06]: One paper on event detection is accepted by ASONAM’18.
• [2018.05]: Three papers are accepted by KDD’18 (Research Track).
• [2018.03]: Serving on the PC of the GIScience 2018 Workshop “Spatial Big Data and Machine Learning. CFP.
• [2018.02]: Our paper “Deep Learning for the Internet of Things” is accepted by IEEE Computer.
• [2018.01]: Serving on the Program Committee of IJCAI’18 and KDD’18 (Research Track).
• [2017.12]: One paper is accepted by WWW’18.
• [2017.11]: Invited to talk about event detection on Illinois Innovator Podcast, available on SoundCloud and iTunes.
• [2017.11]: Serving on the Program Committee (Machine Learning Track) of ACL’18.
• [2017.11]: Two papers are accepted by AAAI’18.
• [2017.10]: Check out our Urbanity system (paper) for predicting spatiotemporal activities with social media.
• [2017.10]: We give a tutorial on “Space and Time Coupled Social Media Analysis” (slides) in CIKM’17.
• [2017.09]: Check out the report from IT Business about our work on event detection from social media.
• [2017.04]: We give a tutorial on “Bringing Semantics to Spatiotemporal Data Mining” (slides) in ICDE’17.