About MeI am an assistant professor in the Department of Computer Science at the Univesity of North Carolina, Charlotte. Prior to joining UNC Charlotte, I was a post-doctoral researcher working with Andrew McCallum at UMass Amherst. I got my Ph.D. from University of Oregon working with Daniel Lowd. | |
Research InterestStructured PredictionEnergy-Based Models Probablistic Graphical Models Machine Learning for Physical Sciences Deep Learning Machine Learning |  |
NewsJun. 22 -- I am hiring PhD students for Spring/Fall 2023.Jun. 22 -- I will join UIC as an assistant prefessor in August 2022! May. 22 -- I gave an invited talk on "Energy Based Models for Structured Prediction" at the Department of Computer Science, UIUC. Apr. 22 -- I gave an invited talk on "Energy Based Models for Structured Prediction" at the Department of Computer Science, UIC. Mar. 22 -- I gave an invited talk on "Energy Based Models for Structured Prediction" at NEC Labs America. May 21 -- Our paper "Energy-Based Reranking: Improving Neural Machine Translation Using Energy-Based Models" has been accepted to ACL'21, main conference. Apr. 21 -- We are organizing the 4th Workshop on Tractable Probabilistic Models (TPM'21) at UAI'21. Please submit your finest work! Sep. 20 -- I am hiring PhD students for Fall 2021. If you are interested in doing a PhD with me, please consider applying to UNC Charlotte! Feel free to contact me if you have any questions. Apr. 20 -- I will join UNC Charlotte as an assistant professor in August 2020!! I will be at AAAI-2020, Feb. 8 - 12. Dec. 19 -- Invited to be a program committee member for IJCAI 2020. Nov. 19 -- Invited to serve as a reviewer for ICML 2020. Nov. 19 -- Our paper on "Differential Equation Units: Learning Functional Forms of Activation Functions from Data" has been accepted to AAAI 2020 as an oral presentation. Sep. 19 -- Our paper on "Search-Guided, Lightly-Supervised Training of Structured Prediction Energy Networks" has been accepted to Neurips 2019. | |
