ICDM Invited Speakers
ICDM 2023
- Ruqian Lu (CAS), Chinese Academy of Sciences, Title: Big Data, Big Knowledge, Big Intelligence
- Leszek Rutkowski (Academia Europaea, PAS), Systems Research Institute of the Polish Academy of Sciences and AGH University of Science and Technology, Title: Stream Data Mining: From Sliding Windows to New Paradigm of Deep Neural Network Learning Methodology
- Jie Tang (F'IEEE, F'ACM, F'AAAI), Tsinghua University, Title: From GLM-130B to ChatGLM
ICDM 2022
- Vipin Kumar (F'IEEE, F'ACM, F'AAAS), University of Minnesota,
Title: Knowledge-Guided Machine Learning: A New Framework for Accelerating Scientific Discovery and Addressing Global Environmental Challenges
- Cynthia Rudin (F'AAAI), Duke University,
Title: Do Simpler Machine Learning Models Exist and How Can We Find Them?
- Eric P. Xing, Carnegie Mellon University,
Title: On Learning, Meta-Learning, and "Lego-Learning" - Theory, System, and Engineering
ICDM 2021
- Jian Pei (F'RSC, F'IEEE, F'ACM), Simon Fraser University,
Title: Towards Trustworthy Data Science: Interpretability, Fairness and Marketplaces
- Masashi Sugiyama (Japan Academy Medal), The University of Tokyo,
Title: Towards Robust Machine Learning: Weak Supervision, Noisy Labels, and Beyond
- Svetha Venkatesh (F'AAS, F'ATSE), Deakin University,
Title: Sample Efficient AI with Applications in Health Care and Advanced Manufacturing
ICDM 2020
- Sepp Hochreiter,
Johannes Kepler University of Linz,
Title: Modern Hopfield Networks
- Diane Cook (F'EEE, F'NAI),
Washington State University,
Title: Constructing a Human Digital Twin
- Xuedong Huang (F'IEEE, F'ACM),
Microsoft,
Title: XYZ-Code ¨C A Holistic Representation to Advance Integrative AI
ICDM 2019
- Ronald Fagin (NAE), IBM Research Almaden,
Title: Applying Theory of Data to Practice
- Joseph Halpern (NAE), Cornell University
Title: Actual Causality
- Jiawei Han (F'IEEE, F'ACM),
University of Illinois at Urbana-Champaign,
Title: Embedding-Based Text Mining: A Frontier in Data Mining
ICDM 2018
- Ramamohanarao (Rao) Kotagiri (F'AAS, F'AATSE),
University of Melbourne, Australia
- C. Mohan (NAE),
IBM Almaden Research Center, USA
- Xindong Wu (F'IEEE, F'AAAS), Hefei University of Technology, China
ICDM 2017
-
Leslie Valiant (Turing Award, 2010; NAS),
Harvard University, USA
- Michael J. Franklin (F'ACM),
University of Chicago, USA
-
Aidong Zhang (F'IEEE),
State University of New York at Buffalo, USA
ICDM 2016
- Rakesh Agrawal (NAE), Data Insights Laboratories, USA.
- Yoshua Bengio (Turing Award, 2018), University of Montreal, Canada.
- Elisa Bertino (F'IEEE, F'ACM), Purdue University, USA.
ICDM 2015
- Robert F. Engle
(Nobel Prize for Economics, 2003; NAS),
New York University, USA
- Michael I. Jordan
(NAS, NAE, AAAS, F'AAAS),
University of California, Berkeley, USA
- Lada Adamic,
Facebook, Inc., USA
IEEE Computer Society Press Release, 20 March
2015: Nobel Prize Winner, Machine Learning Guru, and
Facebook Data Scientist to Keynote IEEE ICDM 2015
ICDM 2014
- Wen Gao (CAE), Peking University, China
Title:
Towards Mobile Visual Search
- Johannes Gehrke,
Microsoft and Cornell University, USA
Title:
Ten Research Challenges in Data Science
-
Vipin Kumar, University of Minnesota, USA
Understanding Global Change: Opportunities and Challenges for Data Driven Research
ICDM 2013
- Alexander Tuzhilin, Stern School of Business, New York University, USA
Title:
Opportunities and Challenges Facing Recommender Systems: Where Can We Go from Here?
- Joydeep Ghosh, University of Texas, Austin, USA
Title:
Predictive Healthcare Analytics under Privacy Constraints
- Jianchang (JC) Mao, Microsoft, USA
Title:
Large-scale Learning in Computational Advertising
ICDM 2012
- Bernhard Scholkopf, Max Planck Institute, Germany
Title: On Causal and Anticausal Learning
- Jure Leskovec, Stanford University, USA
Title: Mining Massive Online Networks: Challenges and Opportunities
- Martin Krzywinski, Genome Sciences Centre, Canada
Title: Needles in Stacks of Needles
ICDM 2011
- Cynthia Dwork (NAS, NAE, AAAS), Microsoft Research, USA,
Title: The Promise of Differential Privacy
- C. Lee Giles, Pennsylvania State University, USA,
Title: Data Mining and Information Extraction for CiteSeerX and Friends
- Renie J. Miller (Royal Society of Canada), University of Toronto, Canada,
Title: On Schema Discovery
ICDM 2010
- Christos Faloutsos,
Carnegie Mellon University, USA:
Mining Billion-node Graphs: Patterns, Generators and Tools
-
Geoff McLachlan
(Fellow, Australian Academy of Science),
University of Queensland, Australia:
Assessing the Significance of Groups in High-Dimensional Data
-
Xindong Wu,
University of Vermont, USA:
10 Years of Data Mining Research: Retrospect and Prospect
ICDM 2009
- Stephen Boyd (NAE), Stanford University, USA
- Jamie Callan, Carnegie Mellon University, USA
- Vipin Kumar, University of Minnesota, USA
ICDM 2008
ICDM 2007
ICDM 2006
- Ian Foster, Computation Institute Argonne National Laboratory &
University of Chicago, USA.
Service-Oriented Science: Scaling eScience Impact
- Raghu Ramakrishnan, Yahoo! Research, USA.
Exploratory Mining in Cube Space
- Weixiong Zhang, Washington University in St. Louis, USA.
Data Mining Methods for Modeling Gene Expression Regulation and
Their Applications
ICDM 2005
- John
F. Elder IV, Elder Research, Inc., USA
"Top 10 Data Mining Mistakes"
- Raj Reddy
(Turing Award, 1994; NAS; NAE; AAAS; CAE; INAS; INAE),
Carnegie Mellon
University, USA
"The Million Book Digital Library Project: Research Problems in Data
Mining and Discovery"
-
Sunita Sarawagi,
IIT Bombay, India
"Graphical models for structure extraction and information integration"
- Arie Shoshani, Lawrence
Berkeley National Laboratory, USA
"Efficient Indexing Technology
for Data Mining of Scientific Data"
ICDM 2004
- Wray Buntine,
Helsinki Institute of Information Technology, Finland
Open-source Search Engines: A Data Mining Platform
- David Hand
(Fellow, British Academy),
Imperial College, UK
Deception, Distortion, and Discovery: Data Quality in Data Mining
- Thorsten
Joachims, Cornell University, USA
Learning to Predict Complex Objects
- Ming Li
(Royal Society of Canada),
University of Waterloo, Canada
Faster and More Sensitive Homology Search
ICDM 2003
- Thomas G. Dietterich,
Oregon State University, USA:
Sequential Supervised Learning:
General Methods for Sequence Labeling and Segmentation
[Slides in PDF]
- Usama
M. Fayyad, DMX Group, LLC, USA:
Grand Challenges on the Road to Practical
Data Mining Systems
- Heikki Mannila
(Academy of Finland), University of Helsinki, Finland:
Global Structure from Sequences
[Slides in PS]
- Gene W. Myers (NAE),
University of California, Berkeley, USA:
Pattern Discovery for Genomics
[Slides in PPT]
- Philip
S. Yu, IBM T.J. Watson Research Center, USA:
Real-Time Monitoring and Surveillance using
Data Stream Mining
ICDM 2002
- Jiawei Han, University of Illinois at Urbana-Champaign, USA
- Satoru Miyano, University of Tokyo, Japan
- Hiroshi Motoda, Osaka University, Japan
- Stephen Muggleton, Imperial College, UK
- Steve Smale (Fields Medal, 1966), University of California at Berkeley, USA
- Jeffrey D. Ullman (NAE), Stanford University, USA
ICDM 2001
- Jerome H. Friedman
(NAS, NAE, AAAS),
Stanford University, USA:
Predictive Data Mining
with
Multiple Additive Regression Trees
- Jim Gray
(The 1999 Turing Award Winner), Microsoft Research, USA:
The World Wide Telescope: Mining the
Sky
- Pat Langley, Institute
for the Study of Learning and Expertise, USA
Knowledge and Data in Computational
Scientific Discovery
- Benjamin W. Wah (2001
President, IEEE Computer Society), University of Illinois,
Urbana-Champaign, USA:
Intelligent
Mining for Time Series Predictions
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Last modified:
June 21, 2024