Yinglong Xia（夏应龙 / 夏應龍）

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Menlo Park, CA 94025

Email: yinglong.xia.2010 AT ieee.org

Homepage: http://sites.google.com/site/yinglongxia/

Yinglong Xia is an applied research scientist at Facebook AI (applied machine learning), working on graph-based platform and application technologies. He was a chief architect at Futurewei Technologies (a.k.a. Huawei Research America), leading a global team working on AI platform products, based on in-house Graph Engine (GES, https://www.huaweicloud.com/en-us/product/ges.html), which covers graph data management, graph analytics, and graph-based machine/deep learning. He also participates in technical planning. Prior to that, he was a technical leader and research staff member at IBM Watson Research Center, exploring graph database and reasoning framework, creating IBM System G (http://systemg.mybluemix.net/) platform from scratch to support a behavioral anomaly detection project (ADAMS), and a social data monitoring project (SMISC), etc.

He has multi-disciplinary expertise, ranging from machine learning to big data, and high performance computing (HPC), due to his diverse education background. He has solid experience in both industrial research and product development, already published 60+ technical papers (https://dblp.org/pers/hd/x/Xia:Yinglong) and filed 30+ patents (https://patents.justia.com/inventor/yinglong-xia). He was a CCC/CRA Computing Innovation Fellow (CIFellow) and a board member of the Linked Data Benchmark Council (LDBC)

Yinglong is active in professional communities, serving as a technical advisory committee (TAC) member in Linux Foundation, a board member of LDBC, and an associate editor of IEEE trans. Knowledge and Data Engineering (TKDE), and IEEE trans. Big Data (TBD); he was a general co-chair of IEEE HiPC’19, vice co-chair of IEEE BigData’19, SPC of IJCAI'20, TPC member of KDD’20, VLDB’20, ICDE’20, AAAI'20, etc.

Research Interests

Big data management, scalable graphical analytics, high performance computing, multi/manycore algorithms, and statistical machine learning.

Education

  • Ph.D. in Computer Science
    • Computer Science Department, Viterbi School of Engineering, University of Southern California, Los Angeles, CA, U.S.A. (August 2006 ~ August 2010)
    • Dissertation title: Exploration of Parallelism for Probabilistic Graphical Models at Multiple Granularities (191 pages, AAT 3434559).
  • M.S. in Pattern Recognition and Intelligent System (Computer Science)
    • Department of Automation, Tsinghua University, Beijing, China (September 2003 ~ July 2006)
    • Thesis title: Statistical Machine Learning Algorithm Study on Distributed Heterogeneous Data.
  • B.S. in Electronic Measurement and Controlling (Computer Engineering)
    • School of Automation Engineering, University of Electronic Science and Technology of China, Chengdu, China (September 1999 ~ July 2003)

Publication

Book Chapter

  1. Qingsong Wen, Ren Chen, Yinglong Xia, Li Zhou, Juan Deng, Jian Xu, and Mingzhen Xia: Big-Data helps SDN to verify integrity of control/data planes, in Big-Data and Software Defined Networking, IET Book Series on Big Data, March 2018.
  2. Yinglong Xia, Nam Ma and Viktor K. Prasanna: Implementing Pointer Jumping on Manycore Processors, In Eds. S.U. Khan, L. Wang and Y. Zomaya, Scalable Computing and Communication: Theory and Practice, John Wiley & Sons, 2012.
  3. Yinglong Xia and Viktor K. Prasanna: Scheduling DAG Structured Computations, In Eds. S. Rajasekaran, et. al., Multi- and Many-core Technologies: Architecture, Programming, Algorithms, & Applications, Chapman & Hall/CRC, 2013

Journal (selected)

  1. Meijia Wang, Jian Kang, Nan Cao, Yinglong Xia, Wei Fan, Hanghang Tong: Graph Ranking Auditing Problem Definition and Fast Solutions, TKDE, 2019
  2. Lifeng Nai, Yinglong Xia, Ilie G. Tanase, Hyesoon Kim, Exploring Big Graph Computing --- an Empirical Study from Architectural Perspective, Journal of Parallel and Distributed Computing, 2017
  3. Nam Ma, Yinglong Xia and Viktor K. Prasanna: Data Parallel Implementation of Belief Propagation in Factor Graphs on Multicore Platforms, International Journal of Parallel Programming (IJPP), Volume 42, Issue 1 , pp 219-237, 2014.
  4. Yinglong Xia and Viktor K. Prasanna: Distributed Evidence Propagation in Junction Trees on Clusters, IEEE Transactions on Parallel and Distributed Systems (TC), Vol 23, No 7, pp 1169-1177, 2012.
  5. Yinglong Xia and Viktor K. Prasanna: Parallel Evidence Propagation on Multicore Processors, The Journal of Supercomputing, Ed. Victor Malyshkin, Vol 57, No 2, pp 189-202, 2011.
  6. Yinglong Xia and Viktor K. Prasanna: Paralell Exact Inference on the Cell Broadband Engine Processor, Journal of Parallel and Distributed Computing (JPDC), Vol 70, pp 558-572, 2010.

Conference

  1. Rui Zhang, Hanghang Tong, Yinglong Xia, Yada Zhu: Robust Embedded Deep K-means Clustering, ACM Conference on Information and Knowledge Management (CIKM), 2019
  2. Lingfei Wu, Ian En-Hsu Yen, Zhen Zhang, Kun Xu, Liang Zhao, Xi Peng, Yinglong Xia, Charu C. Aggarwal: Scalable Global Alignment Graph Kernel Using Random Features: From Node Embedding to Graph Embedding. KDD, 2019
  3. Tianran Hu, Yinglong Xia, Jiebo Luo: To Return or to Explore: Modeling Human Mobility and Dynamics in Cyberspace, WWW 2019
  4. Jian Kang, Scott Freitas, Haichao Yu, Yinglong Xia, Nan Cao, and Hanghang Tong, X-Rank: Explainable Ranking in Complex Multi-Layered Networks, ACM Conference on Information and Knowledge Management (CIKM), 2018
  5. Haichao Yu, Jian Kang, Yinglong Xia, Nan Cao, and Hanghang Tong, Visual Mining of Multi-sourced Networks, ChinaVis, 2018
  6. Scott Freitas Nan Cao, and Yinglong Xia, and Hanging Tong: Local Partition in Rich Graphs, IEEE Big Data 2018
  7. Jian Kang, Meijia Wang, Nan Cao, Yinglong Xia, Wei Fan, and Hanghang Tong: Aurora: Auditing PageRank on Large Graphs, IEEE Big Data 2018
  8. Li Zhou, Ren Chen, Yinglong Xia, and Radu Teodorescu: C-Graph: A Highly Efficient Concurrent Graph Processing Framework, International Conference on Parallel Processing (ICPP), 2018
  9. Lingfei Wu, Pin-Yu Chen, Ian En-Hsu Yen, Fangli Xu, Yinglong Xia, Charu Aggarwal: Scalable Spectral Clustering using Random Binning Features, ACM SIGKDD 2018
  10. Scott Freitas, Hanghang Tong, Nan Cao, and Yinglong Xia: Rapid Analysis of Network Connectivity, International Conference on Information and Knowledge Management (CIKM) , 2017
  11. Qingsong Wen, Ren Chen, Lifeng Nai, Li Zhou, and Yinglong Xia: Finding top K shortest simple paths with improved space efficiency, the ACM SIGMOD/PODS Workshop on Graph Data-management Experiences and Systems (GRADES 2017), 2017
  12. Li Zhou, Yinglong Xia, Hui Zang, Jian Xu, and Mingzhen Xia: An Edge-Set Based Large Scale Graph Processing System, IEEE International Conference on Big Data (BigData), 2016
  13. James Schaffer, John O'Donovan, Brandon Huynh, Yinglong Xia, and Sabrina Lin, Case Study: A Visual Analysis of Student Behavior in Massive Open Online Courses, IEEE/ACM International Conference on Advances in Social Networks Analysis and Mining (ASONAM), 2016
  14. Alexandru Iosup, Tim Hageman, Wing Lung Ngaio, Stijin Heldens, Arnau Prat Perez, Thomas Manhardt, Mihai Capota, Narayanan Sundaram, Michael Anderson, Ilie Gabriel Tanase, Yinglong Xia, Lifeng Nai, Peter Boncz, LDBC Graphalytics: A Benchmark for Large-Scale Graph Analysis on Parallel and Distributed Platforms, Very Large Data Base (VLDB), 2016
  15. Guojing Cong, Ilie G. Tanase, Yinglong Xia: Accelerating Minimum Spanning Forest Computations on Multicore Platforms, Euro-Par 2015: Parallel Processing Workshops, pp541-552, 2015
  16. Min Li, Dakshi Agrawal, Frederick Reiss, Berni Schiefer, Ali Butt, Josep Lluis Larriba Pey, Francois Raab, Doshi Kshitij and Yinglong Xia, SparkBench: A Spark Performance Testing Suite, 7th TPC Technology Conference on Performance Evaluation & Benchmarking, in conjunction to 41st VLDB, 2015
  17. Lifeng Nai, Yinglong Xia, Ilie Tanase, Ching-Yung Lin, and Hyesoon Kim, GraphBIG: Understanding Graph Computing in the Context of Industrial Solutions, the International Conference for High Performance Computing, Networking, Storage and Analysis (SC'15), 2015.
  18. Yinglong Xia, Lifeng Nai, Jun-Hsin Lai, Towards Balance-Affinity Tradeoff in Concurrent Subgraph Traversals, the 29th IEEE International Parallel & Distributed Processing Symposium (IPDPS’15), 2015
  19. Chun-Hsi Huang, Gwo-Giun Lee, Chun-Fu Chen, Yinglong Xia, Ching-Yung Lin, Reconfigurable Filter Bank Design via Principal Component Analysis and Low Rank Approximation, Symposium on Signal Processing on Graphics Processing Units (GlobalSIP), 2015.
  20. Ching-Yung Lin, Danny Yeh, Nan Cao, Jui-Hsin Lai, Chun-Fu Chen, Conglei Shi, Jie Lu, Jason C. Crawford, Keith Houck, Yinglong Xia, Sabrina W. Lin, Richard B. Hull, Fenno F. Heath, Piyawadee Sukaviriya, SweeFen Goh, IBM system G Social Media Solution: Analyze multimedia content, people, and network dynamics in context, IEEE International Conference on Multimedia & Expo Workshops (ICMEW’15), 2015
  21. Yinglong Xia, Ilie G. Tanase, Lifeng Nai, Wei Tan, Yanbin G. Liu, Jason Crawford, and C-Y. Lin, Explore Efficient Data Organization for Large Scale Graph Analytics and Storage, IEEE BigData'14, 2014
  22. Ilie Tanase, Yinglong Xia, Lifeng Nai, Yanbin Liu, Wei Tan, Jason Crawford, and Ching-
  23. Yung Lin, A Highly Efficient Runtime and Graph Library for Large Scale Graph Analytics,
  24. Graph Data-management Experiences & Systems (GRADES'14) in conjunction to ACM
  25. SIGMOD'14, 2014
  26. Yinglong Xia, Jui-Hsin Lai, Lifeng Nai, and Ching-Yung Lin, Concurrent Image Query Using Local Random Walk with Restart on Large Scale Graphs, IEEE International Workshop
  27. on Multimedia Big Data Computing (MBDC 2014) in conjunction to ICME'14, 2014
  28. Hsuan-Yi Chu, Yinglong Xia, Anand Panangadan and Viktor K. Prasanna, Wait-Free Primitives for Initializing Bayesian Network Structure Learning on Multicore Processors, The
  29. 3rd International Workshop on Parallel and Distributed Computing for Large Scale Machine
  30. Learning and Big Data Analytics (ParLearning'14) in conjunction to IPDPS'14, 2014
  31. Lifeng Nai, Yinglong Xia, Ching-Yung Lin, Bo Hong and Hsien-Hsin S. Lee, Cache-
  32. Conscious Graph Collaborative Filtering on Multisocket Multicore Systems, ACM
  33. International Conference on Computing Frontiers (CF'14), 2014.
  34. Yinglong Xia, System G: Graph Analytics, Storage and Runtimes, Toturial on Analytics
  35. Workloads, Tutorial on the 19th ACM SIGPLAN Symposium on Principles and Practice of
  36. Parallel Programming (PPoPP'24), 2014.
  37. Nam Ma, Yinglong Xia, Viktor Prasanna , "Task Parallel Implementation of Belief Propagation in Factor Graphs," Workshop on Parallel and Distributed Computing for Machine Learning and Inference Problems (in conjunction with IPDPS'12), 2012
  38. Jun Wang, Yinglong Xia, Fast Graph Construction Using Parallel Auction Algorithm, The 28th Conference on Uncertainty in Artificial Intelligence (UAI’12), 2012
  39. Nam Ma, Yinglong Xia and Viktor K. Prasanna: Data Parallelism for Belief Propagation in Factor Graphs, 23nd International Symposium on Computer Architecture and High Performance Computing (SBAC-PAD'11), 2011.
  40. Yinglong Xia and Viktor K. Prasanna: Self-adaptive Evidence Propagation on Manycore
  41. Processors, Workshop on Parallel and Distributed Scientific and Engineering Computing
  42. (PDSEC '11), 2011.
  43. Nam Ma, Yinglong Xia and Viktor K. Prasanna: Exploring Weak Dependencies in DAG
  44. Scheduling for Exact Inference, Advances in Parallel and Distributed Computing Models
  45. (APDCM '11), 2011.
  46. Yinglong Xia and Viktor K. Prasanna: Distributed Evidence Propagation in Junction Trees, 22nd International Symposium on Computer Architecture and High Performance Computing (SBAC-PAD'10), 2010.
  47. Nam Ma, Yinglong Xia and Viktor K. Prasanna: Exact Inference on Manycore Processors Using Pointer Jumping, the 22nd International Conference on Parallel and Distributed Computing and Systems (PDCS '10), 2010. (Best Paper Award in the Area of Parallel Computing)
  48. Qingbo Wang, Weirong Jiang, Yinglong Xia and Viktor K. Prasanna: A Message-Passing Multi-Softcore Architecture on FPGA for Breadth-First Search, International Conference on Field-Programmable Technology (FPT'10), 2010.
  49. Yinglong Xia, Viktor K. Prasanna and James Li: Hierarchical Scheduling of DAG Structured Computations on Manycore Processors with Dynamic Thread Grouping, 15th Workshop on Job Scheduling Strategies for Parallel Processing, In conjunction with IPDPS (JSSPP'10), 2010.
  50. Yinglong Xia and Viktor K. Prasanna: Collaborative Scheduling of DAG Structured Computations on Multicore Processors, ACM International Conference on Computing Frontiers (CF'10), 2010.
  51. Hyran Jeon, Yinglong Xia and Viktor K. Prasanna: Node Level Primitives for Exact Inference using GPGPU, 17th International Conference on Systems, Signals and Image Processing (IWSSIP'10), 2010.
  52. Hyran Jeon, Yinglong Xia and Viktor K. Prasanna: Parallel Exact Inference on a CPU-GPGPU Heterogeneous System, International Conference on Parallel Processing (ICPP '10), 2010.
  53. Yinglong Xia, Viktor Prasanna: Accelerating Exact Inference on Probabilistic Graphical Models on Multicore Processors, Asian Technology Information Program: Research Challenges on Computing in India, November 2009.
  54. Yinglong Xia and Viktor K. Prasanna: Topologically Adaptive Parallel Breadth-first Search on Multicore Processors, the 21st International Conference on Parallel and Distributed Computing and Systems (PDCS '09), November 2009. (Best Paper Award in the Area of Parallel Computing)
  55. Yinglong Xia and Viktor K. Prasanna: Node Level Computation Kernels for Parallel Exact Inference, Technical Report CENG-2009-7, University of Southern California, 2009.
  56. Yinglong Xia, Xiaojun Feng and Viktor K. Prasanna: Parallel Evidence Propagation on Multicore Processors, the 10th International Conference on Parallel Computing Technologies (PaCT'09), LNCS 5698, pp 377-391, August 2009.
  57. Yinglong Xia and Viktor K. Prasanna: Parallel Exact Inference on the Cell Broadband Engine Processor, the International Conference for High Performance Computing, Networking, Storage and Analysis (Supercomputing SC'08), November 2008. (Accepted, Acceptance ratio: 21%, 59 out of 277.)
  58. Yinglong Xia and Viktor K. Prasanna: Junction Tree Decomposition for Parallel Exact Inference, IEEE International Parallel & Distributed Processing Symposium (IPDPS'08), pp 1-12, April 2008. (Acceptance ratio: 25%, 105 out of 410.)
  59. Yinglong Xia and Viktor K. Prasanna: Node Level Primitives for Exact Inference, 19th International Symposium on Computer Architecture and High Performance Computing (SBAC-PADS'07), pp 221-228, October 2007. (Acceptance ratio: 30%, 32 out of 107.)
  60. Yinglong Xia and Viktor K. Prasanna: Parallel Exact Inference, Parallel Computing 2007 (ParCo '07), In Parallel Computing: Architectures, Algorithms and Applications, C. Bischof, M. B¨ucker, P. Gibbon, G.R. Joubert, T. Lippert, B. Mohr, F. Peters (Eds.), John von Neumann Institute for Computing, Julich, NIC Series, Vol. 38, ISBN 978-3-9810843-4-4, pp. 185-192, September 2007.
  61. Yinglong Xia, Shifeng Weng, Changshui Zhang and Shao Li: Mixture Random Effect Model Based Meta-analysis For Medical Data Mining, The 5th Industrial Conference on Data Mining (ICDM'05), In Proceeding of Mechine Learning and Data Mining, LNCS 3587, P. Perner and A Imiya (Eds.) pp 630-640, Leipzig, Germany, July 2005.
  62. Yinglong Xia, Changshui Zhang, Shifeng Weng and Rongbin Liu: Fault-Tolerant EM algorithm for GMM in Sensor Networks, The 2005 International Conference on Data Mining (DMIN'05) of the 2005 World Congress in Applied Computing (WCAC'05), H.R. Arabnia, A. Scime (Eds.), CSREA Press, pp 166- 172, Las Vegas, USA, June 2005.
  63. Rongbin Liu, Changshui Zhang, Yinglong Xia: Importance Feature Sampling in Random Subspace. The 2005 International Conference on Computer Vision (Vision'05) of the 2005 World Congress in Applied Computing (WCAC'05), H.R. Arabnia (Ed.), CSREA Press, pp 192-197, Las Vegas, USA, June 2005.
  64. Yalin Zheng, Changshui Zhang, Yinglong Xia, Naijiang Lu and Fei Xiao: Intimate Degree Algorithm of Fuzzy Reasoning and Harmoniousness Constraint. The 2005 International Fuzzy System Association World Congress (IFSA'2005), pp194-198, Beijing, China, July 2005
  65. Yalin Zheng, Changshui Zhang and Yinglong Xia: Pointwise Logic on Completely Distributive Lattices. The 2005 International Fuzzy System Association World Congress (IFSA'2005), pp242-245, Beijing, China, July 2005.
  66. Yalin Zheng, Changshui Zhang and Yinglong Xia: Type II Topological Logic and Approximate Reasoning. In Proceeding of the Second International Conference on Fuzzy Systems and Knowledge Discovery (FSKD'05), LNCS 3613, L. Wang and Y. Jin (Eds.) pp 243-252, Beijing, China, July 2005.

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Presentation/Symposia Attended

Honor

  • 2015 IBM Research Division Award
  • 2013 IBM Research Division Eminence & Excellence Award
  • 2010 Best Paper Award, IASTED PDCS '10
  • 2010 Computing Innovation Fellow (CIFellow) by CRA/CCC/NSF
  • 2009 Travel Grant to ATIP Workshop at SC '09
  • 2009 Best Paper Award, IASTED PDCS '09
  • 2006~2009 Research Scholarship, USC
  • 2006~2008 Teaching Scholarship, USC
  • 2005 Second-grade, Tsinghua Guanghua Fellowship
  • 2004 Third-grade scholarship in Tsinghua for excellent students
  • 2003 Top scholarship in UESTC for excellent students
  • Special scholarship of "China Instrument and Control Society"
  • 2002 Top scholarship in UESTC for excellent students
  • The 3rd grade of National College Students English Competition
  • The 3rd grade of Subject Contest of Embedded Systems, the National Undergraduate
  • 2001 First-grade scholarship in UESTC for excellent students
  • Special scholarship of "Motorola"
  • 2000 Top scholarship in UESTC for excellent students
  • Special scholarship of "Lenovo"

Affiliations/Activities

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Update: Dec 30, 2012