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Harry Xu Associate Professor
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Recent News
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Both Auto conflict detection of IoT apps and JShrink accepted to FSE'20.
About Me
I am an Associate Professor in the Computer Science Department of University of California, Los Angeles. I worked at Microsoft Research as a Visiting Researcher in 2017, where I created and led the development of a project that aims to build an optimizing compiler for multi-lingual data analytical pipelines, in particular, Microsoft's Scope/Cosmos. I worked at IBM T. J. Waston Research Center as a Co-op/intern from 2008 to 2011 where I led the development of a series of runtime bloat detection tools.
My research is in the general area of computer systems, ranging from programming languages and compilers, to runtime/operating/distributed systems and computer architecture. I develop systems for a variety of applications, including, for example, data analytics, video analytics, and machine learning. I was the winner of the 2018 Dahl-Nygaard Junior Prize, which is awarded each year to a junior researcher that has made promising contributions to the field of object orientation.
With Miryung Kim and Ravi Netravali, I co-direct the Software Systems Laboratory for Data Analytics and Machine Learning (SOLAR) at UCLA.
Professional
Current Projects
o
Systems for Large-scale Machine Learning (e.g., Video Analytics and GNNs)
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Operating/Runtime Systems for Disaggregated Resources
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System (Re-)design for Non-volatile/Hybrid Memory
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IoT
Usablity and Security
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Systemizing Static Code Analysis
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Big Data Systems and their Runtime Support
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Software Bloat Detection and Optimization
Research Group
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Dr. Chenxi Wang (PostDoc Starting August 2018, Ph.D., ICT@CAS)
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Dr. Jon Eyolfson (PostDoc Starting August 2018, Ph.D., CS@Waterloo)
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John
Thorpe (Ph.D. student starting Fall 2017; REU'16; Magna Cum Laude
2017; UCI Outstanding Contribution to Research Award)
o
Christian
Navasca (Ph.D. student starting Fall 2018; REU'17; Cum Laude 2018; UCI Outstanding Contribution to Research Award)
o
Yuanqi
Li (Ph.D. student starting Winter 2019; High honors
from UCSB, co-advised with Ravi Netravali)
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Arthi Padmanabhan (Ph.D. student starting Spring 2019, co-advised with Ravi Netravali)
o Haoran Ma (Ph.D. student starting
Fall 2019, co-advised with Miryung Kim)
o Yifan Qiao (Ph.D. student starting
Fall 2019, co-advised with Miryung Kim)
o Jiyuan Wang (Ph.D. student starting
Fall 2019, co-advised with Miryung Kim)
o Usama Hameed (Ph.D. student starting
Fall 2019, co-advised with Miryung Kim)
Alumni
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Khanh Nguyen (Ph.D. 2019, first employment: Google & Assistant Professor @ TAMU, Google Ph.D. Fellowship, Facebook Ph.D. Fellowship
Finalist)
o
Kai Wang (Ph.D. 2019, first employment: Research Scientist @ Facebook System&Infrastructure)
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Zhiqiang Zuo (PostDoc
2015--2018; Assistant Professor @ Nanjing University)
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Lu Fang (Ph.D. 2017, first
employment: Research Scientist @ Facebook AI)
o
Keval Vora (Ph.D. 2017, Co-advised
with Rajiv Gupta, first employment: Assistant Professor @ Simon Fraser
University)
o
Cheng
Cai (M.S. 2020)
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Bojun
Wang (M.S. 2019, first employment: Arista Networks)
o
Tim
Nguyen (B.S. 2017, first employment: Facebook)
o
Aftab
Hussain (M.S. Fall 2017)
o
Matthew
Hartz (B.S. 2015)
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Jianfei Hu
(M.S. 2015, first employment: Google)
o
Chengxi
Li (2017 summer intern from Beckman
High, college: Berkeley CS)
o
Emily
Hu (2016 summer intern from Northwood
High, college: Berkeley CS)
o
Lawrence
Xu (2016 summer intern from University High,
college: Purdue CS)
o
Louis
Zhang (2014 summer intern from Troy High,
college: Berkeley CS)
o
Ankur
Gupta (2014 summer intern from University
High, college: Regent's Scholar at UCSD CS)
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Wendy
Wei (2013 summer intern from University High,
college: MIT CS)
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Allen
Min (2012 summer intern from Whitney High, college: UCI CS)
o Jonathon Tsai (2012 summer
intern from Whitney High,
college: UCI CS)
Teaching
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CS 239: Large-Scale Machine Learning Systems (Spring 2020)
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CS 111: Operating Systems (Spring 2019, Winter 2020)
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CS 239 Big Data Systems (Fall 2018, Fall 2019)
Service
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ACM SIGPLAN, Information Director (2018--2021)
o DISPLA'20, co-located with VLDB'20, PC, (Deadline: 6/1/20)
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APSys'20, PC, (Deadline: 5/25/20)
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OSDI'20, PC, (Deadline: 5/27/20)
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HotEdgeVideo'20, co-located with SIGCOMM'20, PC, (Deadline: 5/1/20)
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PLDI'20, ERC, (Deadline: 11/22/19)
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ASPLOS'20, PC (Deadline: 8/16/19)
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APSys'19, PC (Deadline: 5/8/19)
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ISMM'19, PC-Chair (Deadline: 2/22/19)
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USENIX ATC'19, ERC (Deadline: 1/10/19)
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OOPSLA'19
PC (Deadline: 4/15/19)
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FEAST'18
PC (Deadline: TBD)
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OOPSLA'18
EPC (Deadline: 4/16/18)
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VEE'18 PC (Deadline:
11/29/17)
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PLDI'18 PC
(Deadline: 11/16/17)
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ASPLOS'18 ERC (Deadline: 8/11/17)
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FEAST'17 PC (Deadline:
08/04/17)
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AGP'17 PC (Deadline:
4/21/17)
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SoCalPL'17 Chair (Deadline: TBD)
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ASPLOS'17 PC (Deadline: 8/15/16)
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ISSTA'17 AEC Co-Chair
(Deadline: TBD)
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FSE'16
SRC (Deadline: July 1, 2016)
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TAPAS'16 PC (Deadline: July 8,
2016)
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ISMM'16 PC (Deadline:
Feburary 7, 2016)
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ECOOP'16 PC (Deadline: December 8, 2015)
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o
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PLDI'15 PC (Deadline:
November 13, 2014)
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ISEC'15 PC (Deadline: September 22,
2014)
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ECOOP'15 PC (Deadline:
December 21, 2014)
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PERTEA'14 co-organizer (Deadline: April
10, 2014)
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WODA'14 PC (Deadline: Feb 21, 2014)
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PLDI'14 SRC (Deadline:
March 10, 2014)
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ISMM'14 PC (Deadline: February 12,
2014)
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PLDI'14 ERC (Deadline:
November 15, 2013)
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FSE'14 Research Demos (Deadline:
June 30, 2014)
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ICSE'14 Poster (Deadline:
January 14, 2014)
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COSMIC'13 Workshop PC
(Deadline: January 10, 2013)
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OOPSLA'13 PC (Deadline: March 28, 2013)
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OOPSLA'12
SRC and Poster (Deadline: July 09, 2012)
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PPoPP'13
Workshop and Tutorial Chair (Deadline: September 1, 2012)
Released Software Systems
- Grapple: A graph system for finite state property checking for very large systems
- RStream: A
single-machine, disk-based graph mining system
- Graspan: A
disk-based parallel graph system for dynamic transitive closure
computation
- Facade: A compiler and
runtime system for efficient Big Data systems
- Statistical
debugging based on abstraction refinement
- PerfBlower:
A performance problem amplification framework and an instrumentation
specification language
- GraphQ:
Analytical query processing based on abstraction refinement over very
large graphs
- Resurrector: A new object lifetime profiler
- Demand-driven
context-sensitive alias analysis for Java
- LeakChaser: A Java memory leak detector
- AJANA: A framework for source-code-level
analysis of AspectJ software
Why I Believe
I am a Protestant Christian. I regularly attend and help with several campus fellowships at both UCLA and UC Irvine.
- How can one be a CS professor and a Christian? (collected by George Vargese)
Contact Information
harryxu at cs dot ucla dot edu
http://www.cs.ucla.edu/~harryxu
Office:
Engineering VI, Room 496A
Computer Science Department
BOX 951596, UCLA
Los Angeles, CA 90095-1596
Work: 310-794-7145
Last updated: June 8, 2018
Maintained by harryxu at cs
dot cs dot ucla dot edu (replace dot with .)