myself

About me

I completed my PhD in computer science at Duke University in August 2016, advised by Pankaj Agarwal.

I received MPhil in computer science from University of Hong Kong and BS in mathematics from Nanjing University.

Research interests

Computational geometry, Graph algorithms, Game theory, Machine learning.

Contact

jwpan@@cs.duke.edu
Sep, 2016
Received Outstanding PhD Award.
Jul 20, 2016
Completed PhD defense.
Jun 19-24, 2016
Gave a talk at ICML in New York city.
Jun 14-18, 2016
Gave a talk at SoCG conference in Boston.
Sep 4, 2015
Finished summer internship at Facebook.
Sep 26, 2014
Received Outstanding PhD Preliminary Exam Award.
Jun 8-11, 2014
Gave a talk at SoCG conference in Kyoto, Japan.
Apr 21, 2014
Finished prelim exam.
Feb 5, 2014
Research initiation project (RIP) final presentation.
Nov 5-8, 2013
Gave a talk at ACM SIGSPATIAL GIS conference in Orlando, USA.
Aug 13, 2012
Started PhD.
[Google scholar] (*Authors are alphabetically ordered.)

  • Collapsed variational Bayes for Markov jump processes.
    Jiangwei Pan, Vinayak Rao

  • A simple efficient approximation algorithm for dynamic time warping.
    Rex Ying, Jiangwei Pan, Kyle Fox, Pankaj K. Agarwal
    GIS 2016: International Conference on Advances in Geographic Information Systems.

  • *An efficient algorithm for placing electric vehicle charging stations.
    Pankaj K. Agarwal, Jiangwei Pan, Will Victor
    ISAAC 2016: International Symposium on Algorithms and Computation.

  • Markov-modulated marked Poisson processes for check-in data. [paper] [code]
    Jiangwei Pan, Vinayak A. Rao, Pankaj K. Agarwal, Alan E. Gelfand
    ICML 2016: International Conference on Machine Learning.

  • *Approximating dynamic time warping and edit distance for a pair of point sequences. [paper]
    Pankaj K. Agarwal, Kyle Fox, Jiangwei Pan, Rex Ying
    SoCG 2016: Symposium on Computational Geometry.

  • *Near-linear algorithms for geometric hitting sets and set covers. [paper]
    Pankaj K. Agarwal, Jiangwei Pan
    SoCG 2014: Symposium on Computational Geometry.

  • Model-driven matching and segmentation of trajectories. [paper] [slides]
    Swaminathan Sankararamana, Pankaj K. Agarwal, Thomas Mølhave, Jiangwei Pan, Arnold P. Boedihardjo
    GIS 2013: International Conference on Advances in Geographic Information Systems.

  • *Edit distance to monotonicity in sliding windows. [paper]
    Ho-Leung Chan, Tak-Wah Lam, Lap-Kei Lee, Jiangwei Pan, Hing-Fung Ting, Qin Zhang
    ISAAC 2011: International Symposium on Algorithms and Computation.
(last updated: Sep 3, 2016)