2025-06/07: Visited the University of California, San Diego.
2024-12-18: Attended Google GenAI Faculty Summit, Atlanta, Georgia.
2024-12-15: Attended IEEE BigData, Washington DC.
2024-11-21: Awarded an NSF EPSCoR RII: EPSCoR Research Fellows grant (PI) for developing deep generative models for analysis and visualization of scientific texts.
2024-11-07: Co-organized the Data Analytics Challenge session at GMiS 2024, Fort Worth, Texas.
2024-10-26: INTENT, a latent topic attention model with pre-trained language models for supervised document structure learning, accepted at IEEE BigData 2024.
2024-08-05: Awarded an NSF Educational Instrumentation grant (PI), titled: "Equipment: Building AI and Cybersecurity Talent Pathways Through Enriched Student Learning Experiences".
2024-02-20: FoTo, a targeted visual topic model for focused analysis of short texts, accepted at LREC-COLING 2024.
2024-01-29: Nominated for the Patricia Christmore Faculty Teaching Award.
2024-01-27: SeeM, a shared latent variable model for unsupervised multi-view anomaly detection, accepted at PAKDD 2024.
2023-10-28: ITime, a deep Markov model for multi-view time series anomaly detection, accepted at IEEE BigData 2023.
2023-10-12: Organizing CAHSI Data Analytics Challenge at GMiS 2023, Pasadena, California.
2023-09-10: "Utilizing Textual Reviews for Visualizing and Understanding User Preferences", short paper accepted at IEEE/ACM ASONAM 2023.
2022-10-06: Co-organized the Data Analytics Challenge session at GMiS 2022, Pasadena, California.
2022-10-04: "Focused Stochastic Neighbor Embedding for Better Preserving Points of Interest", paper accepted at REU Symposium 2022.
2021-09-12: "A Word Embedding Topic Model for Robust Inference of Topics and Visualization", paper accepted at AIMLSystems 2021.
2021-06-18: "Neural Topic Models for Hierarchical Topic Detection and Visualization", paper accepted at ECML-PKDD 2021.
2020-09-30: "Auto-Encoding Variational Bayes for Inferring Topics and Visualization", paper accepted at COLING 2020.
2020-09-30: Co-organized CAHSI Virtual Technical Challenge Session - Data Analytics.
2019-12-18: NSF REU Site award (https://www.cs.nmsu.edu/reu/) (Co-PI).
2019-11-22: Gave a talk at NMSU Workshop on Big Data Applications, Challenges, and Techniques.
2019-09-26: Co-organized CAHSI Technical Challenge Session - Data Analytics at GMIS, Orlando, Florida.
2019-05-13: Attended WWW, San Francisco.
2019-01-21: "ContraVis: Contrastive and Visual Topic Modeling for Comparing Document Collections", paper accepted at The Web Conference 2019.
2017-08-06: "SemVis: Semantic Visualization for Interactive Topical Analysis", demo paper accepted at CIKM-17.
2017-04-24: "Semantic Visualization for Short Texts with Word Embeddings", accepted at IJCAI-17.
2016-07-11: Attended IJCAI, New York City.
2016-06-29: Awarded SMU Presidential Doctoral Fellowship 2016.
2016-04-05: "Word Clouds with Latent Variable Analysis for Visual Comparison of Documents", accepted at IJCAI-16.
2016-03-03: "Semantic Visualization with Neighborhood Graph Regularization", accepted at JAIR.
2014-09-20: Paper accepted at ICDM, titled "Probabilistic Latent Document Network Embedding".
2014-09-15: Invited to participate at GYSS@one-north 2015.
2014-08-24: Attended KDD, New York City.
2014-07-30: "Manifold Learning for Jointly Modeling Topic and Visualization": Honorable Mention for Outstanding Paper Award AAAI-14.
2014-07-01: Awarded the Presidential Doctoral Fellowship by the Singapore Management University.
2014-05-13: Paper accepted at KDD, titled "Semantic Visualization for Spherical Representation".
2014-05-03: AAAI-14 Outstanding Paper Nomination (one of the 5 finalists).
2014-04-08: Paper accepted at AAAI, titled "Manifold Learning for Jointly Modeling Topic and Visualization".