Dezhi Hong

Email: hong AT virginia DOT edu
For more information, here is my CV.


I am a Ph.D. candidate in the Department of Computer Science at the University of Virginia. My advisor is Professor Kamin Whitehouse.

My research is focused on networked embedded sensor systems and mobile computing. I am also broadly interested in distributed systems and cloud computing.

I earned my B.S. from Beijing University of Posts and Telecommunications (aka BUPT, or in Chinese 北邮) in 2012, majoring in Electrical Engineering.

I am an avid photographer.

Selected Publications

Dezhi Hong, Quanquan Gu, Kamin Whitehouse.
High-dimensional Time Series Clustering via Cross-Predictability.
In AISTATS'17 (poster, data, errata)

*Bharathan Balaji, Arka Bhattacharya, Gabe Fierro, Jingkun Gao, Joshua Gluck, Dezhi Hong, Aslak Johansen, Jason Koh, Yuvraj Agarwal, Mario Bergés, David Culler, Rajesh Gupta, Mikkel Baun Kjærgaard, Joern Ploennigs, Mani Srivastava, Kamin Whitehouse.
Brick v1.0 - Towards a Unified Metadata Schema For Buildings.
Best Paper Nominee, Audience Choice Award, Best Demo Award
In BuildSys’16 (ppt)
*Alphabetical Order

Dezhi Hong, Hongning Wang, Jorge Ortiz, Kamin Whitehouse.
The Building Adaptor: Towards Quickly Applying Building Analytics at Scale.
Best Paper Nominee
In BuildSys'15 (ppt, data)

Arka Bhattacharya, Dezhi Hong, David Culler, Jorge Ortiz, Kamin Whitehouse, Eugene Wu.
Automated Metadata Construction to Support Portable Building Applications.
Best Paper Nominee
In BuildSys'15

Dezhi Hong, Hongning Wang, Kamin Whitehouse.
Clustering-based Active Learning on Sensor Type Classification in Buildings.
In CIKM'15 (ppt)

Dezhi Hong, Jorge Ortiz, Kamin Whitehouse, David E. Culler.
Towards Automatic Spatial Verification of Sensor Placement in Buildings.
In BuildSys'13 (ppt)


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530 Rice Hall
Computer Science Department
University of Virginia
Charlottesville, VA 22904 (map)