Min Li
" If we knew what we were doing, it wouldn't be research."
— Anonymous .
I am currently a machine learning researcher and engineer at Apple Inc, driving innovation on enabling multilingual KG for down streaming NLP tasks. Prior to joining Apple, I worked on large scale recommendation systems and applied ML to improve operational efficiency of data centers at JD.com for four years. Before that, I spent another four years with IBM research focusing on entity resolution, performance optimization, and benchmarking of big data analytic platforms. I received my Ph.D in Computer Science at Virginia Tech in 2014. I was a recipient of IBM PhD Fellowship for two consecutive years during Phd study(2012-2013). My research interests cover areas of natural language processing, big data analytics, deep learning, machine learning. (CV)
Giovanni Paolo Gibilisco, Min Li, Li Zhang, Danilo Ardagna. Stage Aware Performance Modeling of DAG Based in Memory Analytic Platforms. In Proc. IEEE Cloud 2016.
Arnab Kumar Paul, Wenjie Zhuang, Luna Xu, Min Li, Mustafa Rafique, and Ali R. Butt. CHOPPER: Optimizing Data Partitioning for In-Memory Data Analytics Frameworks. In Proc. IEEE Cluster 2016 (24%).
Luna Xu, Min Li, Li Zhang, Ali R. Butt, Yandong Wang, Zane Hu, MEMTUNE: Dynamic Memory Management for In-memory Data Analytic Platforms, In Proc IEEE IPDPS 2016 (23%)
Luna Xu, Min Li, Li Zhang, Ali R. Butt, Yandong Wang, Zane Hu, MEMTUNE: Dynamic Memory Management for In-memory Data Analytic Platforms, To appear in Proc IEEE IPDPS 2016
Valentina Salapura, Kirk A. Beaty, Alan Bivens, Minkyong Kim, and Min Li. 2015. Towards building an analytics platform in the cloud. In Proceedings of the 12th ACM International Conference on Computing Frontiers (CF '15). ACM, New York, NY, USA, , Article 49 , 8 pages.
Min Li, Jian Tan, Yandong Wang, Li Zhang, and Valentina Salapura. 2015. SparkBench: a comprehensive benchmarking suite for in memory data analytic platform Spark. In Proceedings of the 12th ACM International Conference on Computing Frontiers (CF '15). ACM, New York, NY, USA, , Article 53 , 8 pages
Luna Xu, Min Li, Ali R. Butt, GERBIL: MPI + YARN, To appear 15th IEEE/ACM International Symposium on Cluster, Cloud and Grid Computing (CCGrid), Shengzhen, China, 2015. (AR: 25.7%).
Min Li, Liangzhao Zeng, Shicong Meng, Jian Tan, Li Zhang, Ali R. Butt, Nicholas Fuller, mrOnline: MapReduce Online Performance Tuning, To Appear In Proceedings of the ACM Symposium on High-Performance Parallel and Distributed Computing (HPDC), Vancouver, Canada, June, 2014. (AR: 16%).
Min Li, Dinesh Subhraveti, Ali R. Butt, Aleksandr Khasymski, and Prasenjit Sarkar. CAM: A Topology Aware Minimum Cost Flow Based Resource Manager for MapReduce Applications in the Cloud. To appear in Proceedings of the ACM Symposium on High-Performance Parallel and Distributed Computing(HPDC), Delft, The Netherlands. June 2012. (AR: 16.1%).
Min Li, Shravan Gaonkar, Ali R. Butt, Deepak Kenchammana, and Kaladhar Voruganti, Cooperative Storage-Level De-Deduplication for I/O Reduction in Virtualized Data Centers, MASCOTS 2012
Ramya Prabhakar, Sudharshan S. Vazhkudai, Youngjae Kim, Ali R. Butt, Min Li, and Mahmut Kandemir.Provisioning a Multi-Tiered Data Staging Area for Extreme-Scale Machines. In Proceedings of the 31st International Conference on Distributed Computing Systems (ICDCS), Minneapolis, MN, June 2011.
Min Li, Sudharshan S. Vazhkudai, Ali R. Butt, Fei Meng, Xiaosong Ma, Youngjae Kim, Christian Engelmann, and Galen Shipman. Functional Partitioning to Optimize End-to-End Performance on Many-core Architectures. In Proceedings of the ACM/IEEE International Conference for High Performance Computing, Networking, Storage and Analysis (SC10), New Orleans, LA. November 2010. (AR: 20%).
Posters
· Min Li, Sushil Mantri, Pin Zhou, and Ali R. Butt. SMIO: I/O Similarity Aware Virtual Machine Management in Virtual Desktop Environments. Poster in the 27th ACM International Conference on Supercomputing (ICS 2013), Eugene, OR, pages 2, June 2013.
Professional Activities
TPC Member, IEEE BigData 2016
Publicity Chair, 23rd International Symposium on Modelling, Analysis and Simulation of Computer and Telecommunication Systems (MASCOTS), 2015
Publicity Chair, Analytics Platforms for the Cloud (APC), 2015
TPC Member, 10th IEEE International Conference on Networking, Architecture, and Storage (NAS), 2015
TPC Member, The International Conference for High Performance Computing, Networking, Storage and Analysis (SC), 2015
TPC Member. The 4th IEEE Non-Volatile Memory Systems and Applications Symposium (NVMSA), 2015
External Reviewer:
TDPS, TOCC, JCST
CCGrid14, IEEE Cluster14
Invited Talks
· Functional Partitioning to Optimize End-to-End Performance on Many-core Architectures. SC10, Nov 2010, New Orleans, LA.
· CAM: A Topology Aware Minimum Cost Flow Based Resource Manager for MapReduce Appli-cations in the Cloud. IBM Student Workshop for Frontiers of Cloud Computing 2012, Jul 2012, Hawthorne, NY.
· MapReduce Online Performance Tuning. IBM Student Workshop for Frontiers of Cloud Computing 2013, Jul 2013, Yorktown Heights, NY.
Honors and Awards
2013-2014, A recipient of IBM Ph. D. Fellowship
2012-2013, A recipient of IBM Ph. D. Fellowship
Travel Grant: OSDI 2008, OSDI 2010, FAST 2010-2013, ICS 2013
Student Volunteer: SC 2010, SC 2013
Work Experience
July 2014 to present, Research staff member, IBM T.J. Watson Research Center
Summer 2013, Research Intern, IBM T.J. Watson Research Center
Summer 2012, Research Intern, IBM Almaden Research Center
Summer 2011, Research Intern, IBM Almaden Research Center
Summer 2010, Research Intern, NetApp Advanced Technology Group
Fall 2008 to May 2014, Research Assistant, DSSL, CS, Virginia Tech
Teaching Experience
Fall 2010, TA, CS4234 Parallel Computing by Dr. Cameron
Spring 2010, Teaching Assistant, CS2505 Computer Organization by Dr. McQuain
Fall 2009, Teaching Assistant, CS4234 Parallel Computation by Dr. Sandu
Spring 2009, Teaching Assistant, CS3204 Operating Systems by Dr. Butt
Fall 2008, Teaching Assistant, CS4234 Parallel Computation by Dr. Sandu
Contact
Work Email: min_li6 AATT apple.com
Office Phone: 408-478-2667
updated by Min Li at Dec 2023