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Harry Xu

   Professor
   Office: Engineering VI, Room 496A
   Computer Science Department
   Samueli School of Engineering
   University of California, Los Angeles
   harryxu at cs dot ucla dot edu

 

                        


About Me

I am a Professor in the Computer Science Department of University of California, Los Angeles. My research broadly covers computer systems, spanning programming languages, compilers, runtime/operating systems, distributed systems, and computer architecture. My current focus includes two main areas: (1) building infrastructures for future cloud computing, particularly user-defined clouds, and (2) creating scalable and cost-effective infrastructures for AI applications.

I co-founded BreezeML, a startup company that builds a software solution for GenAI risk management. In 2017, I worked at Microsoft Research as a Visiting Researcher where I initiated and led the development of a project that built an optimizing compiler (Niijima, SOSP'19) for Microsoft's Scope/Cosmos, a multilingual data analytics pipeline. I worked at IBM T. J. Waston Research Center as a Co-op/intern from 2008 to 2011 where I led the creation of of runtime bloat detection and performance optimization tools for IBM's enterprise Java customers (PLDI'09, PLDI'10-a, PLDI'10-b). Recently, our group developed VQPy, a system that has been integrated into Cisco's DeepVision platform to support complex video processing.

I was among the first academic researchers to address the problem of ``software bloat'', a field that eventually led to ONR's $200M TPCP program, funding over 100 projects across more than 60 universities in the U.S. Additionally, I pioneered the optimization of large-scale data analytics through programming language techniques. Our Yak GC (OSDI'16) was reimplemented by Huawei to support their telecommunication applications. In recognition of these contributions, I received the 2018 Dahl-Nygaard Junior Prize, awarded annually to a junior researcher with promising contributions to the field of object orientation. I am also an ACM Distinguished Scientist.

Professional

o   Publications

Current Projects (Some Recent Papers)

o   VQPy: Object-Orientation for Modern Video Analytics (MLSys'24)

o   Systems for Affordable Machine Learning (SIGCOMM'20, OSDI'21, NSDI'23-b, NSDI'23-c, NSDI'24-b)

o   Systems for Resource-Disaggregated Datacenters (OSDI'20, PLDI'22-a, OSDI'22-best-paper, NSDI'23-a, NSDI'23-d, NSDI'24-a, OSDI'24-a, OSDI'24 -b)

o   System Design for Emerging (Datacenter) Hardware (PLDI'19, PLDI'20, ASPLOS'21, PLDI'21-a, ASPLOS'22-a, ASPLOS'22-b, PLDI'22-b, OSDI'22-b)

o   IoT Usablity and Security (SEC'18, FSE'20-a)

o   Graph Systems for Static Code Analysis and Other Workloads (ASPLOS'17-a, ASPLOS'17-b, OSDI'18, EuroSys'19, PLDI'21-b, TOCS'21, EuroSys'23)

o   Big Data Systems and their Runtime Support (SOSP'15, ASPLOS'15, OSDI'16, ASPLOS'18, SOSP'19-a, SOSP'19-b)

o   Software Bloat Detection and Optimization (ECOOP'15, PLDI'18, FSE'20-b)

Research Group

o  Jiyuan Wang (Ph.D. student starting Fall 2019, Tsinghua Xuetang Talents Scholar, co-advised with Miryung Kim)

o  Shi Liu (Ph.D. student starting Fall 2020, Guo Moruo Scholar at USTC)

o  Shan Yu (Ph.D. student starting Fall 2022, Excellent Graduate of ZheJiang Univ., Intel DRA Award)

o  Zhenting Zhu (Ph.D. student starting Fall 2023, Yao Award, Andrew Yao Class at Tsinghua, Gold Medalist IOI 2018)

o  Shu Anzai (Ph.D. student starting Fall 2023, Funai Overseas Scholarship, University of Tokyo)

o  Yicheng Liu (Ph.D. student starting Fall 2024, Co-advised with Sam Kumar, Top Graduate of Shanghai Jiaotong U.)

Alumni

o  Haoran Ma (Ph.D. 2024, first employment: Software Engineer at ByteDance AI Infra)

o  Yifan Qiao (Ph.D. 2024, first employment: Postdoc Researcher, Sky Computing Lab, UC Berkeley)

o   Christian Navasca (Ph.D. 2023, first employement: Senior ML Engineer at BreezeML)

o  Pengzhan Zhao (M.S. 2023, first employment: Co-founder and Director of Engineering at BreezeML)

o   Chenxi Wang (PostDoc 2018-2022, first employment: Associate Professor, Institute of Computing Technology, Chinese Academy of Sciences)

o   Jonathan Eyolfson (PostDoc 2018-2022, first employment: Assistant Professor in teaching stream, University of Toronto)

o   John Thorpe (Ph.D. 2022, first employment: Co-founder and VP of Product at BreezeML Inc.)

o   Arthi Padmanabhan (Ph.D. 2022, first employment: Assistant Professor, Harvey Mudd College)

o  Usama Hameed (M.S. 2022, first employment: Apple)

o   Yuanqi Li (dropped out of Ph.D. due to startup)

o   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)

o   Zhiqiang Zuo (PostDoc 2015--2018; Assistant Professor @ Nanjing University)

o   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   Shen Teng (M.S. 2021, first employment: Amazon)

o   Gaohong Liu (M.S. 2021, first employment: RED (Xiaohongshu E-commerce))

o   Cheng Cai (M.S. 2020, first employment: Facebook)

o   Bojun Wang (M.S. 2019, first employment: Arista Networks)

o   Guanzhou Hu (CSST 2019, currently Ph.D. student at UWisc)

o   Tim Nguyen (B.S. 2017, first employment: Facebook)

o   Aftab Hussain (M.S. Fall 2017)

o   Matthew Hartz (B.S. 2015)

o   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)

o   Wendy Wei (2013 summer intern from University High, college: MIT CS)

o   Allen Min (2012 summer intern from Whitney High, college: UCI CS)

o   Jonathon Tsai (2012 summer intern from Whitney High, college: UCI CS)

Teaching

o   CS 239: Large-Scale Machine Learning Systems (Spring 2020)

o   CS 111: Operating Systems (Spring 2019, Winter 2020, Winter 2021)

o   CS 214: Big Data Systems (Fall 2018, Fall 2019, Fall 2020)

Recent Services

o  ASPLOS'26, PC Co-Chair

Released Software Systems (Our Github Repos)

Why I Believe

I am a Protestant Christian. I regularly attend and help with several campus fellowships at both UCLA and UC Irvine.

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 .)