u kang - data miningukang/ukang-cv.pdf · 3 j4. u kang, martial hebert, and soonyong park, fast and...
TRANSCRIPT
1
U Kang
Associate Professor
Department of Computer Science and Engineering
Seoul National University Office : (+82).2.880.7254
1 Gwanak-ro, Gwanak-gu, Seoul [email protected]
Republic of Korea 08826 http://datalab.snu.ac.kr/~ukang
RESEARCH INTERESTS
Big Data Mining, Deep Learning, and Machine Learning, with emphasis on models, algorithms,
and systems for scalable data analysis with applications on knowledge discovery, prediction, and
anomaly detection.
EDUCATION
Ph.D. Computer Science, Carnegie Mellon University 2012
Dissertation: Mining Tera-Scale Graphs: Theory, Engineering and Discoveries
Advisor: Professor Christos Faloutsos
M.Sc. Information Technology, Carnegie Mellon University 2009
B.Sc. Computer Science and Engineering, Seoul National University 2003
AWARDS AND HONORS 1. 10-year Highest Impact Paper Award from IEEE International Conference on
Data Mining (ICDM)
2018
2. Young Information Scientist Award from Korean Institute of Information
Scientists and Engineers
2016
3. Ewon Assistant Professor from KAIST 2014
4. 10 Best Research Award from KAIST 2013
5. SIGKDD Doctoral Dissertation Award, Honorable Mention 2013
6. New Faculty Award from Microsoft Research Asia 2013
7. Best Application Paper Award at Pacific-Asia Conference on Knowledge Discovery and
Data Mining
2011
8. Open Source Software Award, Silver, at Open Source Software World Challenge 2010
9. Best Application Paper Award, Runner-up, at IEEE International Conference on Data
Mining
2009
10. JeongSong Foundation Fellowship 2007-2009
RESEARCH EXPERIENCE
Associate Professor, Department of Computer Science and Engineering, Seoul
National University
Sep. 2017-
present
Assistant Professor, Department of Computer Science and Engineering, Seoul
National University
Sep. 2015-Aug.
2017
Assistant Professor, Department of Computer Science, KAIST 2013-Aug. 2015
Postdoctoral Fellow, Computer Science Department, Carnegie Mellon University June-Dec. 2012
Research Intern, IBM T.J. Watson Research, Hawthorne, NY May-Aug. 2011
2
Research Intern, IBM T.J. Watson Research, Hawthorne, NY May-Aug. 2010
Research Intern, Microsoft Research, Redmond, WA May-Aug. 2009
Research Intern, Microsoft Research, Redmond, WA May-Aug. 2008
Researcher, Korea Telecom Research Lab, Seoul, Korea 2004-2007
TEACHING EXPERIENCE
COURSES TAUGHT (at Seoul National University)
1. Data Structure Fall 2015
2. Introduction to Data Mining Spring 2016
3. Data Structure Fall 2016
4. Computer Engineering Seminar Fall 2016
5. Introduction to Data Mining Spring 2017
6. Deep Learning (Topics in Big Data Analytics) Spring 2017
7. Data Structure Fall 2017
8. Advanced Deep Learning (Topics in Big Data Analytics) Fall 2017
9. Introduction to Data Mining Spring 2018
10. Optimization for Machine Learning (Topics in Artificial Intelligence) Spring 2018
11. Data Structure Fall 2018
12. Advanced Deep Learning (Topics in Big Data Analytics) Fall 2018
13. Introduction to Data Mining Spring 2019
14. Reinforcement Learning (Topics in Big Data Analytics) Spring 2019
COURSES TAUGHT (at KAIST)
1. Big Graph Mining (CS760), KAIST Spring 2013
2. Data Mining (CS492), KAIST Fall 2013
3. Advanced Data Mining (CS665), KAIST Spring 2014
4. Data Mining (CS492), KAIST Fall 2014
5. Advanced Data Mining (CS665), KAIST Spring 2015
6. Machine Learning and Data Mining (SEP532), KAIST Spring 2015
PUBLICATIONS
BOOK CHAPTER
1. Hanghang Tong and U Kang, Big Data Clustering Algorithms, in Data Clustering: Algorithms
and Applications, CRC Press, August 2013. Editors: Chandan Reddy and Charu Aggarwal.
2. U Kang and Christos Faloutsos, Mining Tera-scale graphs with ‘Pegasus’: algorithms and
discoveries, in Large Scale Data Analytics, Springer, January 2014. Editors: Aris Gkoulalas-
Divanis and Abdel Labbi.
REFEREED JOURNALS
J1. U Kang, Charalampos E. Tsourakakis, Ana Paula Appel, Christos Faloutsos, and Jure
Leskovec, HADI: Mining Radii of Large Graphs, ACM Transactions on Knowledge Discovery
from Data (TKDD), February 2011.
J2. U Kang, Charalampos E. Tsourakakis, and Christos Faloutsos, PEGASUS: Mining Peta-Scale
Graphs, Knowledge and Information Systems (KAIS), Springer, May 2011.
J3. U Kang, Hanghang Tong, Jimeng Sun, Ching-Yung Lin, and Christos Faloutsos, GBASE: An
Efficient Analysis Platform for Large Graphs, VLDB Journal, October 2012.
3
J4. U Kang, Martial Hebert, and Soonyong Park, Fast and Scalable Approximate Spectral Graph
Matching for Correspondence Problems, Information Sciences, January 2013.
J5. U Kang, Brendan Meeder, Evangelos E. Papalexakis, and Christos Faloutsos, Heigen: Spectral
Analysis for Billion-Scale Graphs, IEEE Transactions on Knowledge and Data Engineering
(TKDE), vol. 26, no.2, pp. 350-362, Feb. 2014.
J6. Yongsub Lim, U Kang, and Christos Faloutsos, SlashBurn: Graph Compression and Mining
beyond Caveman Communities, IEEE Transactions on Knowledge and Data Engineering
(TKDE), vol. 26, no. 12, pp. 3077-3089, April 2014.
J7. Lee Sael, Inah Jeon, and U Kang, Scalable Tensor Mining, Big Data Research, Feb. 2015.
J8. Danai Koutra, U Kang, Jilles Vreeken, and Christos Faloutsos, Summarizing and
understanding large graphs, Statistical Analysis and Data Mining, doi: 10.1002/sam.11267, 18
May 2015.
J9. Ho Lee, Bin Shao, and U Kang, Fast graph mining with HBase, Information Sciences, vol.
315, pp. 56-66, 10 September 2015.
J10. JengHoon Park, Chin-Wan Chung, and U Kang, Reverse Nearest Neighbor Search with a
Non-spatial Aspect, Journal of Information Systems, vol. 54, pp. 92-112, Dec. 2015.
J11. Jinhong Jung, Kijung Shin, Lee Sael, and U Kang, Random Walk with Restart on Large
Graphs Using Block Elimination, ACM Transactions on Database Systems, vol. 41, issue 2,
pp. 12:1-12:43, June 2016.
J12. Inah Jeon, Evangelos E. Papalexakis, Christos Faloutsos, Lee Sael, and U Kang, Mining
Billion-Scale Tensors: Algorithm and Discoveries, VLDB Journal, vol. 25, issue 4, pp. 519-
544, August 2016.
J13. Yongsub Lim, Won-Jo Lee, Ho-Jin Choi, and U Kang, MTP: Discovering High Quality
Partitions in Real World Graphs, World Wide Web Journal, vol. 20, issue 3, pp 491–514, May
2017.
J14. Kijung Shin, Lee Sael, and U Kang, Fully Scalable Methods for Distributed Tensor
Factorization, IEEE Transactions on Knowledge and Data Engineering (TKDE), vol. 29, issue
1, pp. 100-113, January 1 2017.
J15. Yongsub Lim, and U Kang, Time-weighted Counting for Recently Frequent Pattern Mining in
Data Streams, Knowledge and Information Systems (KAIS), vol. 53, no. 2, pp. 391-422, Sep.
12 2017.
J16. Yongsub Lim, Minsoo Jung, and U Kang, Memory-efficient and Accurate Sampling for
Counting Local Triangles in Graph Streams: From Simple to Multigraphs, ACM Transactions
on Knowledge Discovery from Data (TKDD), vol. 12, no. 1, pp. 4:1-4:28, Feb. 2018.
J17. Mauro Scanagatta, Giorgio Corani, Marco Zaffalon, Jaemin Yoo, and U Kang, Efficient
Learning of Bounded-Treewidth Bayesian Networks from Complete and Incomplete Data Sets,
International Journal of Approximate Reasoning (IJAR), vol. 95, pp. 152-166, 2018.
J18. Namyong Park, Eunjeong Kang, Minsu Park, Hajeong Lee, Hee-Gyung Kang, Hyung-Jin
Yoon, and U Kang, Predicting acute kidney injury in cancer patients using heterogeneous and
irregular data, PLOS ONE 13(7): e0199839.
J19. Ha-Myung Park, Francesco Silvestri, Rasmus Pagh, Chin-wan Chung, Sung-Hyon Myaeng,
and U Kang, Enumerating Trillion Subgraphs On Distributed Systems, ACM Transactions on
Knowledge Discovery from Data (TKDD), vol. 12, no. 6, pp. 71:1-71:30, Oct. 2018.
J20. Namyong Park, Sejoon Oh, and U Kang, Fast and Scalable Method for Distributed Boolean
Tensor Factorization, VLDB Journal (to appear)
J21. Woojeong Jin, Jinhong Jung, and U Kang, Supervised and extended restart in random walks
for ranking and link prediction in networks, PLOS ONE. (to appear)
J22. Eunjeong Kang, Minsu Park, Peonggang Park, Namyong Park, Younglee Jung, U Kang, Hee
4
Kyung Kang, Dong Ki Kim, Kwon Wook Joo, Yon Su Kim, Hyung Jin Yoon and Hajeong
Lee, Acute kidney injury predicts all-cause mortality in patients with cancer, Cancer Medicine.
(to appear)
J23. Jinhong Jung, Woojung Jin, and U Kang, Random Walk Based Ranking in Signed Social
Networks: Model and Algorithms, Knowledge and Information Systems (KAIS), Springer, (to
appear).
J24. Minsoo Jung, Yongsub Lim, Sunmin Lee, and U Kang, FURL: Fixed-memory and
Uncertainty Reducing Local Triangle Counting for Multigraph Streams, Data Mining and
Knowledge Discovery (to appear).
INVITED(UNREFEREED) JOURNALS
1. U Kang and Christos Faloutsos, Big Graph Mining: Algorithms and Discoveries, SIGKDD
Exploration Volume 14 Issue 2, December 2012.
2. Evangelos E. Papalexakis, U Kang, Christos Faloutsos, Nicholas D. Sidiropoulosx, Abhay
Harpale, Large Scale Tensor Decompositions: Algorithmic Developments and Applications,
Bulletin of the Technical Committee on Data Engineering, vol. 36, no. 3, September 2013
REFEREED CONFERENCES
C1. Charalampos E. Tsourakakis, U Kang, Gary Miller, and Christos Faloutsos, DOULION:
Counting Triangles in Massive Graphs with a Coin, ACM SIGKDD International Conference
On Knowledge Discovery and Data Mining (KDD) 2009, Paris, France.
C2. U Kang, Charalampos E. Tsourakakis, and Christos Faloutsos, PEGASUS: A Peta-Scale
Graph Mining System - Implementation and Observations, IEEE International Conference on
Data Mining (ICDM) 2009, Florida, Miami, USA.
Best Application Paper Award (runner-up).
NSF Student Travel Award.
C3. U Kang, Charalampos E. Tsourakakis, Ana Paula Appel, Christos Faloutsos, and Jure
Leskovec, Radius Plots for Mining Tera-byte Scale Graphs: Algorithms, Patterns, and
Observations, SIAM International Conference on Data Mining (SDM) 2010, Columbus, Ohio,
USA.
NSF Student Travel Award.
C4. U Kang, Mary McGlohon, Leman Akoglu, and Christos Faloutsos, Patterns on the Connected
Components of Terabyte-Scale Graphs, IEEE International Conference on Data Mining
(ICDM) 2010, Sydney, Australia.
NSF Student Travel Award.
C5. U Kang, Duen Horng Chau, and Christos Faloutsos, Mining Large Graphs: Algorithms,
Inference, and Discoveries, IEEE International Conference on Data Engineering (ICDE) 2011,
Hannover, Germany.
C6. U Kang, Spiros Papadimitriou, Jimeng Sun, and Hanghang Tong, Centralities in Large
Networks: Algorithms and Observations, SIAM International Conference on Data Mining
(SDM) 2011, Mesa, Arizona, USA.
SDM 2011 Travel Scholarship.
C7. U Kang, Brendan Meeder, and Christos Faloutsos, Spectral Analysis for Billion-Scale Graphs:
Discoveries and Implementation, Pacific-Asia Conference on Knowledge Discovery and Data
Mining (PAKDD) 2011, Shenzhen, China.
Best Application Paper Award. C8. Robson L. F. Cordeiro, Caetano Traina Jr., Agma J. M. Traina, Julio Lopez, U Kang, and
Christos Faloutsos, Clustering Very Large Multi-dimensional Datasets with MapReduce, ACM
SIGKDD Conference on Knowledge Discovery and Data Mining (KDD) 2011, San Diego,
5
CA, USA.
C9. U Kang, Hanghang Tong, Jimeng Sun, Ching-Yung Lin, and Christos Faloutsos, GBASE: A
Scalable and General Graph Management System, ACM SIGKDD Conference on Knowledge
Discovery and Data Mining (KDD) 2011, San Diego, CA, USA.
C10. Danai Koutra, Tai-You Ke, U Kang, Duen Horng (Polo) Chau, Hsing-Kuo Kenneth Pao, and
Christos Faloutsos, Unifying Guilt-by-Association Approaches: Theorems and Fast
Algorithms, European Conference on Machine Learning and Principles and Practice of
Knowledge Discovery in Databases (ECML PKDD) 2011, Athens, Greece.
C11. U Kang and Christos Faloutsos, Beyond `Caveman Communities': Hubs and Spokes for Graph
Compression and Mining, IEEE International Conference on Data Mining (ICDM) 2011,
Vancouver, Canada.
C12. U Kang, Duen Horng Chau, and Christos Faloutsos, PEGASUS: Mining Billion-Scale Graphs
in the Cloud, IEEE International Conference on Acoustics, Speech, and Signal Processing
(ICASSP) 2012, Kyoto, Japan.
C13. U Kang, Hanghang Tong, and Jimeng Sun, Fast Random Walk Graph Kernel, SIAM
International Conference on Data Mining (SDM) 2012, Anaheim, California, USA.
C14. U Kang, Evangelos Papalexakis, Abhay Harpale, and Christos Faloutsos, GigaTensor: Scaling
Tensor Analysis Up By 100 Times - Algorithms and Discoveries, ACM SIGKDD Conference
on Knowledge Discovery and Data Mining (KDD) 2012, Beijing, China.
C15. Jay Yoon Lee, U Kang, Danai Koutra, and Christos Faloutsos, Fast anomaly detection despite
the duplicates, 22nd International World Wide Web Conference (WWW) 2013, Rio de Janeiro,
Brazil. (poster)
C16. Zhiyuan Lin, Nan Cao, Hanghang Tong, Fei Wang, U Kang, and Duen Horng Chau,
Interactive Multi-resolution Exploration of Million Node Graphs, IEEE VIS 2013, Atlanta,
Georgia, USA. (poster)
C17. Danai Koutra, U Kang, Jilles Vreeken, and Christos Faloutsos, VoG: Summarizing and
Understanding Large Graphs, SIAM International Conference on Data Mining (SDM) 2014,
Philadelphia, PA, USA.
C18. U Kang, Jay-Yoon Lee, Danai Koutra, and Christos Faloutsos, Net-Ray: Visualizing and
Mining Billion-Scale Graphs, Pacific-Asia Conference on Knowledge Discovery and Data
Mining (PAKDD) 2014, Tainan, Taiwan.
C19. Jungeun Kim, Minsoo Choy, Daehoon Kim, and U Kang, Link Prediction Based on
Generalized Cluster Information, 23rd International World Wide Web Conference (WWW)
2014, Seoul, Korea. (poster)
C20. Zhiyuan Lin, Minsuk Kahng, Kaeser Md. Sabrin, Duen Horng (Polo) Chau, Ho Lee, and U
Kang, MMap: Fast Billion-Scale Graph Computation on a PC via Memory Mapping, IEEE
International Conference on Big Data 2014, Washington DC, USA.
C21. Dongyeop Kang, Woosang Lim, Kijung Shin, Lee Sael, and U Kang, Data/Feature
Distributed Stochastic Coordinate Descent for Logistic Regression, 23rd ACM International
Conference on Information and Knowledge Management (CIKM) 2014, Shaghai, China.
C22. Ha-Myung Park, Franceso Silvestri, U Kang, and Rasmus Pagh. MapReduce Triangle
Enumeration With Guarantees, 23rd ACM International Conference on Information and
Knowledge Management (CIKM) 2014, Shaghai, China.
C23. Yongsub Lim, Jihoon Choi, and U Kang, Fast, Accurate, and Space-efficient Tracking of
Time-weighted Frequent Items from Data Streams, 23rd ACM International Conference on
Information and Knowledge Management (CIKM) 2014, Shaghai, China.
C24. Kijung Shin, and U Kang, Distributed Methods for High-dimensional and Large-scale Tensor
Factorization, IEEE International Conference on Data Mining (ICDM) 2014, Shenzhen, China.
C25. Yongsub Lim, Won-Jo Lee, Ho-Jin Choi, and U Kang, Discovering Large Subsets with High
6
Quality Partitions in Real World Graphs, 2nd International Conference on Big Data and Smart
Computing (BigComp) 2015, Jeju Island, Korea.
C26. Won-Jo Lee, Chae-Gyun Lim, U Kang, and Ho-Jin Choi, An Extension of the Automatic
Cross-Association Method with a 3-dimensional Matrix, 2nd International Conference on Big
Data and Smart Computing (BigComp) 2015, Jeju Island, Korea.
C27. Inah Jeon, Evangelos E. Papalexakis, U Kang, and Christos Faloutsos, HaTen2: Billion-scale
Tensor Decompositions, 31st IEEE International Conference on Data Engineering (ICDE)
2015, Seoul, Korea.
C28. Kijung Shin, Jinhong Jung, Lee Sael, and U Kang, BEAR: Block Elimination Approach for
Random Walk with Restart on Large Graphs, ACM International Conference on Management
of Data (SIGMOD) 2015, Melbourne, Australia.
C29. Yongsub Lim and U Kang, MASCOT: Memory-efficient and Accurate Sampling for Counting
Local Triangles in Graph Streams, ACM SIGKDD Conference on Knowledge Discovery and
Data Mining (KDD) 2015, Sydney, Australia.
C30. ByungSoo Jeon, Inah Jeon, Lee Sael, and U Kang, SCouT: Scalable Coupled Matrix-Tensor
Factorization - Algorithm and Discoveries, 32nd IEEE International Conference on Data
Engineering (ICDE) 2016, Helsinki, Finland.
C31. Ha-Myung Park, Sung-Hyon Myaeng, and U Kang, PTE: Enumerating Trillion Triangles On
Distributed System, ACM SIGKDD Conference on Knowledge Discovery and Data Mining
(KDD) 2016, San Francisco, USA.
C32. Hugo Gualdron, Robson Cordeiro, Jose Rodrigues-Jr, Duen Horng Chau, Minsuk Kahng, and
U Kang, M-Flash: Fast Billion-Scale Graph Computation Using a Bimodal Block Processing
Model, European Conference on Machine Learning and Principles and Practice of Knowledge
Discovery in Databases (ECML PKDD) 2016, Riva Del Garda, Italy.
C33. Min-Hee Jang, Christos Faloutsos, Sang-Wook Kim, U Kang, and Jiwoon Ha, PIN-TRUST:
Fast Trust Propagation Exploiting Positive, Implicit, and Negative Information, ACM
International Conference on Information and Knowledge Management (CIKM) 2016,
Indianapolis, Indiana, USA.
C34. Jinhong Jung, Woojung Jin, Lee Sael, and U Kang, Personalized Ranking in Signed Networks
using Signed Random Walk with Restart, IEEE International Conference on Data Mining
(ICDM) 2016, Barcelona, Spain.
C35. Ha-Myung Park, Namyong Park, Sung-Hyon Myaeng, and U Kang, Partition Aware
Connected Component Computation in Distributed Systems, IEEE International Conference on
Data Mining (ICDM) 2016, Barcelona, Spain.
C36. Kyung-Min Kim, Jinhong Jung, Jihee Ryu, Ha-Myung Park, Joseph P.Joohee, Seokwoo Jeong,
U Kang, and Sung-Hyon Myaeng, A New Question Answering Approach with Conceptual
Graphs, Conférence en Recherche d’Information et Applications (CORIA) 2017, Marseille,
France.
C37. Jinhong Jung, Namyong Park, Lee Sael, and U Kang, BePI: Fast and Memory-Efficient
Method for Billion-Scale Random Walk with Restart, ACM International Conference on
Management of Data (SIGMOD) 2017, Chicago, IL, USA.
C38. Namyong Park, Sejoon Oh, and U Kang, Fast and Scalable Distributed Boolean Tensor
Factorization, 33rd IEEE International Conference on Data Engineering (ICDE) 2017, San
Diego, CA, USA.
C39. Jaemin Yoo, Saehan Jo, and U Kang, Supervised Belief Propagation: Scalable Supervised
Inference on Attributed Networks, IEEE International Conference on Data Mining (ICDM)
2017, New Orleans, USA.
C40. Haekyu Park, Jinhong Jung, and U Kang, A Comparative Study of Matrix Factorization and
7
Random Walk with Restart in Recommender Systems, IEEE International Conference on Big
Data 2017, Boston, MA, USA.
C41. Saehan Jo, Jaemin Yoo, and U Kang, Fast and Scalable Distributed Loopy Belief Propagation
on Real-World Graphs, 11th ACM International Conference on Web Search and Data Mining
(WSDM) 2018, Los Angeles, CA, USA.
C42. Minji Yoon, Woojeong Jin, and U Kang, Fast and Accurate Random Walk with Restart on
Dynamic Graphs with Guarantees, The Web Conference (WWW) 2018, Lyon, France.
C43. Junghwan Kim, Haekyu Park, Ji-Eun Lee, and U Kang, SIDE: Representation Learning in
Signed Directed Networks, The Web Conference (WWW) 2018, Lyon, France.
C44. Minji Yoon, Jinhong Jung, and U Kang, TPA: Fast, Scalable, and Accurate Method for
Approximate Random Walk with Restart on Billion Scale Graphs, 34th IEEE International
Conference on Data Engineering (ICDE) 2018, Paris, France.
C45. Sejoon Oh, Namyong Park, Lee Sael, and U Kang, Scalable Tucker Factorization for Sparse
Tensors - Algorithms and Discoveries, 34th IEEE International Conference on Data
Engineering (ICDE) 2018, Paris, France.
C46. Jun-gi Jang, Dongjin Choi, Jinhong Jung, and U Kang, Zoom-SVD: Fast and Memory Efficient
Method for Extracting Key Patterns in an Arbitrary Time Range, ACM International
Conference on Information and Knowledge Management (CIKM) 2018, Lingotto, Turin, Italy.
OTHER PUBLICATIONS
O1. U Kang, Charalampos Tsourakakis, Ana Paula Appel, Christos Faloutsos, and Jure Leskovec,
HADI: Fast Diameter Estimation and Mining in Massive Graphs with Hadoop, CMU Machine
Learning Tech Report CMU-ML-08-117, December 2008.
O2. U Kang, Duen Horng Chau, and Christos Faloutsos, Inference of Beliefs on Billion-Scale
Graphs, The 2nd Workshop on Large-scale Data Mining: Theory and Applications (LDMTA)
2010, in conjunction with KDD 2010, Washington D.C., USA.
O3. U Kang, Mikhail Bilenko, Dengyong Zhou, and Christos Faloutsos, Axiomatic Analysis of Co-
occurrence Similarity Functions, CMU Computer Science Tech Report CMU-CS-12-102,
February 2012.
O4. Zhiyuan Lin, Duen Horng Chau, and U Kang, Leveraging Memory Mapping for Fast and
Scalable Graph Computation on a PC, First International Workshop on Scalable Machine
Learning: Theory and Applications, in conjunction with IEEE BigData 2013, Santa Clara, CA,
USA.
DEMO
D1. Leman Akoglu*, Duen Horng Chau*, U Kang*, Danai Koutra*, and Christos Faloutsos,
OPAvion: Mining and visualization in large graphs, ACM SIGMOD Conference 2012,
Scottsdale, AZ, USA.
D2. Leman Akoglu*, Duen Horng Chau*, U Kang*, Danai Koutra*, and Christos Faloutsos,
OPAvion: Large Graph Mining System for Patterns, Anomalies & Visualization, Pacific-Asia
Conference on Knowledge Discovery and Data Mining (PAKDD) 2012, Kuala Lumpur,
Malaysia.
D3. Zhiyuan Lin, Nan Cao, Hanghang Tong, Fei Wang, U Kang, and Duen Horng (Polo) Chau,
Demonstrating Interactive Multi-resolution Large Graph Exploration, IEEE International
Conference on Data Mining (ICDM) 2013, Dallas, Texas, USA.
D4. Dongyeop Kang, DongGyun Han, NaHea Park, Sangtae Kim, U Kang, and Soobin Lee,
Eventera: Real-time Event Recommendation System from Massive Heterogeneous Online
Media, IEEE International Conference on Data Mining (ICDM) 2014, Shenzhen, China.
D5. ByungSoo Jeon, Inah Jeon, and U Kang, TeGViz: Distributed Tera-Scale Graph Generation
8
and Visualization, IEEE International Conference on Data Mining (ICDM) 2015, Atlantic City,
USA.
D6. Namyong Park, ByungSoo Jeon, Jungwoo Lee, and U Kang, BIGtensor: Mining Billion-Scale
Tensor Made Easy, 25th ACM International Conference on Information and Knowledge
Management (CIKM) 2016, Indianapolis, USA.
D7. Ha-Myung Park, Chiwan Park, and U Kang, PegasusN: A Scalable and Versatile Graph
Mining System, Thirty-Second AAAI Conference on Artificial Intelligence (AAAI) 2017, New
Orleans, Lousiana, USA.
PATENTS
PCT PATENT
1. U Kang, Minji Yoon, Jinhong Jung, “Method and Apparatus for Efficient Node Proxity
Computation for Large Graphs” (filed on Nov. 18, 2017).
UNITED STATES
1. U Kang, Spiros Papadimitriou, Jimeng Sun, Ching-Yung Lin, “Determining the Importance of
Data Items and Their Characteristics Using Centrality Measures” (registered on August 26,
2014).
2. U Kang, Hanghang Tong, Jimeng Sun, Ching-Yung Lin, “Method and System for Managing and
Querying Large Graphs” (registered on February 4, 2014).
3. U Kang, Hanghang Tong, Jimeng Sun, Ravi Konuru, “Determining a similarity between graphs”
(filed on January 17, 2013).
4. U Kang, Hanghang Tong, Jimeng Sun, Ravi Konuru, “Determining soft graph correspondence”
(filed on January 17, 2013).
KOREA
1. U Kang, “Virtual Web-Server Based Intrusion Enticement System for Early Detection of Internet
Web Attack and Method Thereof”, Korean patent number: 10-2004-0074724 (registered on Oct.
2011).
2. Sang-Kon Kim, Yoon-Ho Choi, Jong-Ho Park, Ho-Kun Moon, Myung-Soo Rhee, U Kang, Jin
Gi Choe and Seung-Woo Seo “Network Security System and Method for Tracing Attacker on the
Encrypted Connection Chain”, Korean patent number: 10-2005-0021125 (filed on Mar. 14,
2005).
3. Yoon-Ho Choi, Jong-Ho Park, Sang-Kon Kim, Ho-Kun Moon, Myung-Soo Rhee, U Kang, Jin
Gi Choe and Seung-Woo Seo, “System and Method of Forensics Evidence Collection at the Time
of Infringement Occurrence”, Korean patent number: 10-2005-0129965 (registered on Dec.
2012).
4. U Kang, Yongsub Lim, and Christos Faloutsos, “Method and Apparatus for Processing Graph
Compression”, Korean patent number: 10-1660584-0000 (registered on Sep. 21, 2016).
5. U Kang, Ha-Myung Park, Rasmus Pagh, Francesco Silvestri, “MapReduce Method for Triangle
Enumeration and Apparatus Thereof”, Koran patent number: 10-1669356-0000 (registered on
Oct. 25, 2016).
6. Dong Min Seo, Seok Jong YU, Min Ho Lee, U Kang, Yong Sub Lim, In Jae Yu, Sael Lee,
“Method and Apparatus for Network Clustering”, Korean patent number: 10-2016-0101611 (filed
on Aug. 10, 2016).
7. Dong Min Seo, Seok Jong YU, Min Ho Lee, U Kang, Ha-Myung Park, “Method and Apparatus
9
for Matching Graphs”, Korean patent number: 10-2016-0139185 (registered on June 9, 2017).
8. U Kang, Jaemin Yoo, “Apparatus and Method for Classifying Nodes”, Korean patent number:
10-2016-0182358 (registered on Nov. 28, 2018).
9. U Kang, Min Soo Jung, Sun Min Lee, Yong Sub Lim, “Triangle Counting Method for Graph
Stream”, Korean patent number: 10-2016-0183070 (filed on Dec. 29, 2016).
10. U Kang, Jinhong Jung, Namyong Park, “Method and Apparatus for Performing Graph Ranking”,
Korean patent number: 10-2016-0183757 (registered on Jan. 31, 2019).
11. U Kang, Jinhong Jung, Woojeong Jin, “Method for Personalized Ranking in Signed Networks,
Recording Medium and Device for Performing the Method”, Korean patent number: 10-2017-
0005485 (registered on June 5, 2018).
12. U Kang, Woojung Jin, Jinhong Jung, “Method and Apparatus for Providing Supervised and
Extended Restart in Random Walks for Ranking and Link Prediction in Networks”, Korean
patent number: 10-2017-0149941 (filed on Nov 10, 2017).
13. U Kang, Junghwan Kim, Haekyu Park, “Apparatus and Method for Representation Learning in
Signed Directed Networks”, Korean patent number: 10-2017-0149948 (filed on Nov. 10, 2017).
14. U Kang, Dongjin Choi, Jun-Gi Jang, “Data Analysis Method and Apparatus for Sparse Data”,
Korean patent number: 10-2017-0158496 (filed on Nov. 24, 2017).
15. U Kang, Sejoon Oh, Namyong Park, “Apparatus for Supporting Multi-dimensional Data
Analysis through Parallel Processing and Method for the Same”, Korean patent number:10-2017-
0158951 (filed on Nov. 24, 2017).
16. U Kang, Haekyu Park, Hyunsik Jeon, Junghwan Kim, “Explainable and Accurate Recommender
Method and System using Social Network Information and Rating Information”, Korean patent
number: 10-2017-0159167 (filed on Nov.27 2017).
17. U Kang, Jun-Gi Jang, Dongjin Choi, Jinhong Jung, “Apparatus and Method For Processing
Data”, Korean patent number: 10-2018-0007389 (filed on Jan. 19, 2018).
18. U Kang, Chiwan Park, Ha-Myung Park, Minji Yoon, “Method and Apparatus for Scalable Graph
Mining Using Graph Pre-partitioning”, Korean patent number: 10-2018-0037373 (filed on Mar.
30, 2018).
19. U Kang, Jinhong Jung, Woojung Jin, “Method and Apparatus For Fast and Personalized Ranking
Using Block Elimination in Signed Social Networks”, Korean patent number: 10-2018-0149677
(filed on Nov. 28, 2018).
20. U Kang, Jinhong Jung, Woojung Jin, Ha-Myung Park, “Method and Apparatus For Measuring
Relevance Between Nodes of Edge-labeled Multigraph”, Korean patent number: 10-2018-
0150180 (filed on Nov. 28, 2018).
21 U Kang, Taebum Kim, Jaemin Yoo, “Method for Compressing Deep Learning Neural Networks
and Apparatus for Performing the Same”, Korean patent number: 10-2018-015181 (filed on Nov.
28, 2018).
22. U Kang, Ha-Myung Park, “Triangle Enumeration Method That Reduces Network Traffic on
Heterogeneous Clusters and Apparatus Thereof”, Korean patent number: 10-2019-0018142 (filed
on Feb. 15, 2019)
TALKS
INVITED CONFERENCE SPEAKER
1. Peta Scale Graph Mining with Pegasus, Invited workshop speaker, Workshop on High
Performance Analytics - Algorithms, Implementations, and Applications, Columbus, OH, Apr.
2010.
10
2. Mining Tera Scale Graphs: Theory, Engineering and Discoveries, Invited workshop speaker,
IBM Workshop on Frontiers in AI and KDD, IBM T.J. Watson Research, Oct. 2012.
3. Mining Tera Scale Graphs, Invited workshop speaker, The 5th Database Specialist Workshop,
Jeju, Korea, Feb. 2013.
4. Big Graph Mining: Patterns and Algorithms, Invited workshop speaker, Workshop on Big Data
Processing, Seoul, Korea, Oct. 2013
5. Big Graph Mining, Invited speaker, Software Convergence Symposium, Seoul, Korea, Jan. 2014.
6. Summarizing Large Graphs, Invited workshop speaker, The 6th Database Specialist Workshop,
Jeju, Korea, Apr. 2014.
7. Big Tensor Mining, Korea-Japan Database Workshop (KJDB) 2014, Gangwon, Korea, Nov. 30,
2014.
8. BEAR: Block Elimination Approach for Random Walk With Restart on Large Graphs, Korea-
Japan Database Workshop (KJDB) 2015, Okinawa, Japan, Dec. 4, 2015.
INVITED DISTINGUISHED LECTURES
1. Mining Tera-Scale Graphs: Theory, Engineering, and Discoveries, Invited Distinguished
Seminar, KT Institute of Convergence Technology, Seoul, Korea, June 2014.
2. Big Graph Mining, Invited Colloquium Lecture, Hanyang University, Seoul, Korea, May 2014.
3. Big Graph Mining: Theory, Engineering, and Discoveries, Invited Colloquium Lecture, Kyung
Hee University, YongIn, Korea, June 2014.
4. Mining Big Data, SKT dev forum, Seoul, Korea, Aug. 2016.
INVITED LECTURES
1. Pegasus: mining peta-scale graph, Dept. of Computer Science and Engineering, Hanyang
University, Seoul, Korea, Nov. 2010.
2. Mining Billion-Scale Graphs: Algorithms and Discoveries, Dept. of Electrical Engineering, Seoul
National University, Korea, May 2011.
3. Mining Billion-Scale Graphs: Algorithms and Discoveries, SAP R&D Center, Korea, May 2011.
4. Mining Tera-Scale Graphs with MapReduce: Theory, Engineering and Discoveries, Dept. of
Computer Science and Engineering, Hanyang University, Seoul, Korea, Dec. 2011.
5. Mining Tera-Scale Graphs with MapReduce: Theory, Engineering and Discoveries, Dept. of
Computer Science, KAIST, Daejeon, Korea, Dec. 2011.
6. Big Graph Mining and Its Applications to QA, Electronics and Telecommunications Research
Institute, Daejeon, Korea, Dec. 2011.
7. Mining Tera-Scale Graphs: Theory, Engineering and Discoveries, Inha University, Incheon,
Korea, March. 2013.
8. Mining Tera-Scale Graphs, National Institute of Mathematical Sciences, Daejeon, Korea, Apr.
2013.
9. Mining Tera-Scale Graphs: Theory, Engineering and Discoveries, SK Telecom, Seoul, Korea,
Apr. 2013.
10. Mining Big Graphs, College of Medicine, Seoul National University, Seoul, Korea, June 2013.
11. Mining Big Graphs, Dept. of Computer Engineering, Postech, Pohang, Korea, Oct. 2013.
12. Mining Big Graphs, Dept. of Electronics and Communication Engineering, Computer and
Information, Chonnam National University, KwangJu, Korea, Nov. 2013.
13. Mining Big Graphs, National Security Research Institute, Daejeon, Korea, Feb. 2014.
14. Scalable Graph Mining, Korea Institute of Science and Technology Information, Daejeon, Korea,
Aug. 2014.
15. Memory-efficient and Accurate Sampling for Counting Local Triangles in Graph Streams, Dept.
of Statistics, Seoul National University, Apr. 2016.
11
16. Fast Random Walk with Restart for Ranking in Large Graphs, Oracle Labs, Redwood City, CA,
USA, Aug. 2016.
17. BigTensor: Mining Billion-Scale Tensor Made Easy, Intel Labs, Santa Clara, CA, USA, Aug.
2016.
TUTORIALS
1. Managing and Mining Large Graphs: Patterns and Algorithms (with Christos Faloutsos),
SIGMOD 2012, Scottsdale, AZ, May 2012.
2. Big Graph Mining: Patterns and Algorithms, KCC 2013, Yeo-su, Korea, July 2013.
3. Mining Big Graphs, EDB 2013, Jeju Island, Korea, August 2013.
4. Big Graph Mining: Algorithms, Anomaly Detection, and Applications (with Leman Akoglu and
Polo Chau), ASONAM 2013, Niagara Falls, Canada, August 2013.
5. Big Graph Mining for the Web and Social Media: Algorithms, Anomaly Detection, and
Applications (with Leman Akoglu and Polo Chau), WSDM 2014, New York, NY, February
2014.
6. Large Scale Tensor Analysis, PAKDD 2017, Jeju, Korea, May 2017.
7. Lightweight Deep Learning with Model Compression, IEEE BigComp 2019, Kyoto, Japan, Feb.
2019.
STUDENTS AND THESES DIRECTED
Ph.D. ADVISING
1. Yongsub Lim (graduated: Aug. 2015)
2. Hamyung Park (graduated: Feb. 2018. co-advisor: Sung-Hyon Myaeng)
3. Jinhong Jung
4. Huiwen Xu
5. Hyunsik Jeon
M.S./Ph.D. ADVISING
1. Minsoo Jung
2. Jaemin Yoo
3. Jun-gi Jang
4. Seungcheol Park
5. Chaeheum Park
M.S. ADVISING
1. Ho Lee (graduated: Feb. 2015)
2. Inah Jeon (graduated: Feb. 2015)
3. Chiwan Park (graduated: Feb. 2018)
4. Hyunsik Jeon (graduated: Feb. 2019)
5. Yang Bai
6. Quan Chun
7. Bonhun Koo
8. Shuyu Wang
9. Junghoon Kim
10. Jaewon Lee
UNDERGRADUATE ADVISING (research)
12
1. Dang Hai Nguyen (Independent Study, Fall 2013) – CS, KAIST
2. Ga-Young Lee (URP program, Winter 2013 - Spring 2014) – CS, KAIST
3. Kijung Shin (Jan. – Aug. 2014) – CSE, SNU
4. Sungjae Hong (URP program, Summer 2014 – Summer 2015 ) – CS, KAIST
5. ByungSoo Jeon (Jan. 2015 – June 2016) – CS, KAIST
6. Injae Yoo (Mar. 2015 – Aug. 2015 ) – Math, KAIST
7. Minjoo Kim (Mar. 2015 – Aug. 2015) – Math, KAIST
8. Jungwoo Lee (Jan. 2016 – Dec. 2017) – ME, SNU
9. Junghwan Kim (Jan. 2016 – May 2018) – IE, SNU
10. Woojung Jin (Jan. 2016 – Apr. 2018) – EE, SNU
11. Haekyu Park (June 2016 – May 2018) – CSE, SNU
12. Minkyung Lee (June 2016 – Dec. 2016) – CSE, SNU
13. Hyeokhwa Seong (June 2016 – Oct. 2016) – CSE, SNU
14. Sunmin Lee (June 2016 – Feb. 2017) – CSE, SNU
15. Sejoon Oh (July 2016 – May 2018) – CSE, SNU
16. Dongjin Choi (Aug. 2016 – Jan. 2018) – EE, SNU
17. Ji-Eun Lee (Oct. 2016 – Aug. 2017) – Econ., SNU
18. Saehan Jo (Oct. 2016 – July 2017) – CSE, SNU
19. Junseok Gye (Jan. 2017 – July 2017) – CSE, SNU
20. Inhye Yeom (Jan. 2017 – June 2017) – Vocational Education and Workforce Development, SNU
21. Taebum Kim (Jan. 2018 – Dec. 2018) – Physics, SNU
22. Junhyun Koh (Apr. 2018 - ) – Psychology, Seoul National University
23. Moonjeong Park (July. 2018 – Jan. 2019) – B.S., DGIST
24. SeungCheol Park (Sep. 2018 – Feb. 2019) – Naval Architecture and Ocean Engineering, SNU
25. Dawon Ahn (Jan. 2019 - ) – Math, Chonnam National Univ.
26. BumJoon Park (Jan. 2019 - ) – CSE, SNU
UNDERGRADUATE ADVISING (thesis)
1. Jaemin Yoo (graduated: Feb. 2016)
2. Danny Youm (graduated: Feb. 2016)
3. Junki Jang (graduated: Feb. 2017)
4. Minkyung Lee (graduated: Feb. 2017)
5. Jinho Suh (graduated: Aug. 2017)
6. Wonryong Ryou (graduated: Aug. 2018)
RESEARCH INTERNS
1. Namyong Park (Jan. 2016 – July 2017) – M.S. in Computer Science and Engineering, Seoul
National University
2. Minji Yoon (Apr. 2017 – June 2018) – M.S. in Computer Science and Engineering, Seoul
National University
3. Minyong Cho (Mar. 2018 - ) – B.S. in Mathematics, Kyung Hee University
4. Junghoon Kim (June 2018 – Feb. 2019) – B.A. in Economics, New York University
5. Sumin Hong (June 2018 – Feb. 2019) – B.S. in Software Engineering, Korea Aerospace
University
Ph.D. COMMITTEES
1. Jae-Pil Heo (defense: 11/2014) – CS, KAIST (Advisor: Sung Eui Yoon)
13
2. Min-Joong Lee (proposal: 5/2/2014) – CS, KAIST (Advisor: Chin-Wan Chung)
3. Jong-Ryul Lee (defense: 5/2014) – CS, KAIST (Advisor: Chin-Wan Chung)
4. Jun-Sung Kim (defense: 12/2014) – CS, KAIST (Advisor: Kyu-Young Whang)
5. Chong Sok Lim (defense: 11/2014) – CS, KAIST (Advisor: Soon Joo Hyun)
6. Soo Hyung Kim (proposal: 11/2014) – CS, KAIST (Advisor: Yoon Joon Lee)
7. Woo Lam Kang (proposal: 11/2014) – CS, KAIST (Advisor: Yoon Joon Lee)
8. Seungbum Jo (defense: 2/2016) – CSE, SNU (Advisor: Srinivasa Rao Satti)
9. Byoung-Hee Kim (defense: 7/2017) – CSE, SNU (Advisor: Byoung-Tak Zhang)
10. Myoungji Han (defense: 12/2017) – CSE, SNU (Advisor: Kunsoo Park)
11. Boyeon Jang (proposal: 11/2018) – CSE, SNU (Advisor: Chong-kwon Kim)
12. Sihyun Jung (proposal: 5/2018) – CSE, SNU (Advisor: Chong-kwon Kim)
13. Jaehoon Lee (proposal: 11/2018) – CSE, SNU (Advisor: Chong-kwon Kim)
M.S. COMMITTEES
1. Seunghyeon Moon (defense: 6/2013) – KSE, KAIST (Advisor: Jae-Gil Lee)
2. Soo-Ho Lee (defense: 6/2013) – CS, KAIST (Advisor: Yoon Joon Lee)
3. Ha-Myung Park (defense: 6/2013) – CS, KAIST (Advisor: Chin-Wan Chung)
4. Dae Joong Kim (defense: 12/2013) – CS, KAIST (Advisor: Kee-Eung Kim)
5. Dae Han Choi (defense: 12/2013) – CS, KAIST (Advisor: Yoon Joon Lee)
6. Seonggyu Lee (defense: 6/2014) – WebST, KAIST (Advisor: Sung-Hyon Myaeng)
7. Hyeoneun Kim (defense: 6/2014) – CS, KAIST (Advisor: Kee-Eung Kim)
8. JungHoon Kim (defense: 12/2014) – KSE, KAIST (Advisor: Jae-Gil Lee)
9. Kyu Hyeon Cho (defense: 12/2014) – CS, KAIST (Advisor: Kyu-Young Whang)
10. Yoon Kyung Kim (defense: 12/2014) – CS, KAIST (Advisor: Yoon Joon Lee)
11. Ji Wan Chung (defense: 12/2014) – CS, KAIST (Advisor: Sue Moon)
12. Hee Sung Jin (defense: 12/2014) – CS, KAIST (Advisor: Myung Ho Kim)
13. Jin Ho Kim (defense: 6/2015) – CS, KAIST (Advisor: Sung-Hyon Myaeng)
14. Pablo Estrada – Computational Science and Technology, SNU (Advisor: Kyomin Jung)
15. Seongho Son (defense: 12/2017) – CSE, SNU (Advisor: Byoung-Tak Zhang)
16. Ceyda Cinarel (defense: 12/2017) – CSE, SNU (Advisor: Byoung-Tak Zhang)
17. Juyong Kim (defense: 12/2017) – CSE, SNU (Advisor: Gunhee Kim)
18. Yunseok Jang (defense: 12/2017) – CSE, SNU (Advisor: Gunhee Kim)
PROFESSIONAL SERVICE
EDITORSHIPS AND BOARDS
1. Member of the Board of Directors, KIISE Database Society of Korea, Aug. 2013 – current
2. Member of the Editorial Board of KIISE Journal of Database, Mar. 2014 – current
3. Associate Editor, Communications of the Korean Institute of Information Scientists and
Engineers, 2016
4. Member of the Board of Directors, Korean Institute of Information Scientists and Engineers
(KIISE), 2016
CONFERENCE ORGANIZATION
1. Co-chair, 1st International Workshop on Big Graph Mining, 2014, in conjunction with WWW
2014
2. Tutorial Co-Chair, 19th Pacific-Asia Conference on Knowledge Discovery and Data Mining
14
(PAKDD), 2015
3. Workshop Co-Chair, 21st Pacific-Asia Conference on Knowledge Discovery and Data Mining
(PAKDD), 2017
4. PC Co-Chair, Korea-Japan Database Workshop (KJDB), 2018
PROGRAM COMMITTEE MEMBER (CONFERENCE)
1. 22nd International Conference on World Wide Web (WWW), 2013
2. European Conference on Machine Learning and Principles of Knowledge Discovery in Databases
(ECML/PKDD), 2013
3. 40th International Conference on Very Large Data Bases (VLDB), 2014
4. 23rd International Conference on World Wide Web (WWW), 2014
5. 8th International AAAI Conference on Weblogs and Social Media (ICWSM), 2014
6. 20th ACM SIGKDD Conference on Knowledge Discovery and Data Mining (KDD), 2014
7. 25th International Conference on Computational Linguistics (COLING), 2014
8. European Conference on Machine Learning and Principles of Knowledge Discovery in Databases
(ECML/PKDD), 2014
9. IEEE International Conference on Data Mining (ICDM), 2014
10. 31st IEEE International Conference on Data Engineering (ICDE), 2015
11. 18th International Conference on Extending Database Technology (EDBT), 2015
12. 8th ACM International Conference on Web Search and Data Mining (WSDM), 2015
13. 2nd International Conference on Big Data and Smart Computing (BigComp), 2015
14. 9th International AAAI Conference on Web and Social Media (ICWSM), 2015
15. 21st ACM SIGKDD Conference on Knowledge Discovery and Data Mining (KDD), 2015
16. IEEE/ACM International Conference on Advances in Social Networks Analysis and Mining
(ASONAM), 2015
17. European Conference on Machine Learning and Principles of Knowledge Discovery in Databases
(ECML/PKDD), 2015
18. IEEE International Conference on Big Data (BigData), 2015
19. 9th ACM International Conference on Web Search and Data Mining (WSDM), 2016
20. 31st ACM/SIGAPP Symposium on Applied Computing (SAC), SONAMA Track, 2016
21. 3rd International Conference on Big Data and Smart Computing (BigComp), 2016
22. 25th International Conference on World Wide Web (WWW), 2016
23. 22nd ACM SIGKDD Conference on Knowledge Discovery and Data Mining (KDD), 2016
24. European Conference on Machine Learning and Principles of Knowledge Discovery in Databases
(ECML/PKDD), 2016
25. 25th ACM International Conference on Information and Knowledge Management (CIKM), 2016
26. 6th International Conference on Emerging Databases - Technologies, Applications, and Theory
(EDB), 2016
27. 3rd IEEE International Conference on Data Science and Advanced Analytics (DSAA), 2016
28. 4th International Conference on Big Data and Smart Computing (BigComp), 2017
29. 32nd ACM/SIGAPP Symposium on Applied Computing (SAC), SONAMA Track, 2017
30. 23rd ACM SIGKDD Conference on Knowledge Discovery and Data Mining (KDD), 2017
31. European Conference on Machine Learning and Principles of Knowledge Discovery in Databases
(ECML/PKDD), 2017
32. 7th International Conference on Emerging Databases - Technologies, Applications, and Theory
(EDB), 2017
33. 26th ACM International Conference on Information and Knowledge Management (CIKM), 2017
34. 5th International Conference on Big Data and Smart Computing (BigComp), 2018
35. 11th ACM International Conference on Web Search and Data Mining (WSDM), 2018
15
36. 33rd ACM/SIGAPP Symposium on Applied Computing (SAC), SONAMA Track, 2018
37. The Web Conference (WWW), 2018
38. Korean Database Conference (KDBC), 2017
39. The 22nd Pacific-Asia Conference on Knowledge Discovery and Data Mining (PAKDD), 2018
(Senior PC member)
40. 24th ACM SIGKDD Conference on Knowledge Discovery and Data Mining (KDD), 2018
41. 27th ACM International Conference on Information and Knowledge Management (CIKM), 2018
42. IEEE International Conference on Data Mining (ICDM), 2018
43. 12nd ACM International Conference on Web Search and Data Mining (WSDM), 2019
44. The Web Conference (WWW), 2019
45. Korean Database Conference (KDBC), 2018
46. 34th ACM/SIGAPP Symposium on Applied Computing (SAC), SONAMA Track, 2019
47. 25th ACM SIGKDD Conference on Knowledge Discovery and Data Mining (KDD), 2019
48. IEEE International Conference on Data Mining (ICDM), 2019, Area Chair
PROGRAM COMMITTEE MEMBER (WORKSHOP)
1. International Workshop on Finding Patterns of User Behaviors in NEtwork and MObility Data,
2011, in conjunction with ECML/PKDD 2011
2. ICDM 2011 Workshop on Data Mining Technologies for Computational Creative Intelligence,
2011
3. 10th Workshop on Mining and Learning With Graphs (MLG), 2012, in conjunction with ICML
2012
4. 1st Dynamic Networks Management and Mining (DyNetMM), 2013, in conjunction with
SIGMOD/PODS 2013
5. 2nd International Workshop on Large Scale Network Analysis (LSNA), 2013, in conjunction
with WWW 2013
6. 11th Workshop on Mining and Learning With Graphs (MLG), 2013, in conjunction with KDD
2013
7. 1st International Workshop on Mining Social Data at Work (MSDW), 2013, in conjunction with
ICDM 2013
8. Big Data Workshop, organized by KAIST-Microsoft Research Collaboration Center, 2014
9. Workshop on Interactive Data Exploration and Analytics (IDEA), 2014, in conjunction with
KDD 2014
10. Workshop on Interactive Data Exploration and Analytics (IDEA), 2015, in conjunction with
KDD 2015
11. Workshop on Interactive Data Exploration and Analytics (IDEA), 2016, in conjunction with
KDD 2016
JOURNAL REVIEWS
1. IEEE Transactions on Knowledge and Data Engineering (TKDE): 2013 – 2016, 2019
2. ACM Transactions on Knowledge Discovery from Data (TKDD): 2011 - 2017
3. The VLDB Journal: 2015
4. Data Mining and Knowledge Discovery (DAMI): 2012, 2013
5. Data & Knowledge Engineering (DKE): 2013, 2016
6. Machine Learning: 2018
7. ACM Journal on Experimental Algorithmics (JEA): 2011
8. Journal of Computer Science and Engineering (JCSE): 2013, 2015
9. Journal of Zhejiang University Science C (ZUSC): 2012
16
CONFERENCE REVIEWS
1. ACM SIGMOD International Conference on Management of Data, 2010
2. ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2010
3. European Conference on Machine Learning and Principles of Knowledge Discovery in Databases
(ECML/PKDD), 2010
4. 21st International Conference on World Wide Web (WWW), 2012