2020/1/24: Committee member for the Ph.D. defense of
at Columbia University.
January 2020: Three lectures on deep learning at the
6th International Winter School on Big Data
in Ancona, Italy.
2019/12/13: Panel speaker at the NeurIPS 2019
Workshop on Robust AI in Financial Services
at the AI World event in Boston.
August 2019: Area chair for
to be held in Vancouver.
2015/12/12: Invited talk at the NIPS
Workshop on Learning in Large Label Spaces
2015/6/19: Keynote speech on differential privacy at Benelearn
2015/6/3: Keynote speech on data science at the Canadian
2014/3/3: Invited talk at the Machine Learning and Data
Symposium in Qatar.
2013/6/11: Our paper on differential
has been accepted by Machine Learning
2013/5/15: Keynote talk at the Qualcomm analytics summit.
2013/5/10: Postdoc position
available funded by Intel (filled).
2013/4/16: Kickoff meeting for research with SRI funded by
2013/3/29: Visiting Cornell tech and Google New York.
2013/2/20: Speaking at the IE Group Chief Data Scientist
Summit, San Diego.
2013/1/29: Qualcomm distinguished lecture at ICNC
2012/12/14: Just finished teaching CSE 250A
students in a graduate course!
speaker at the International Symposium on Multimedia.
2012/9/24: In Bristol to present two papers at ECML
2012/9/17: Appointed area chair for ICML
2012/6/26: In Edinburgh to present a paper at ICML
2012/1/26: Appointed area chair for the AAAI
2012/1/8: Looking for a bioinformatics/ML postdoc
2012/1/4: 57 graduate students enrolled for CSE 250B
2011/11/16: Zhanglong Ji wins best poster award at the San
Diego Data Summit
2011/10/24: Invited to be a plenary keynote speaker at PAKDD'12
2011/10/8: Our paper Nonlinear
SVMs can systematically identify stocks with high and low
is among the most downloaded in two
SSRN categories, Capital
2010/5/1: Our paper Predicting
labels for dyadic data
selected as one of the 7
best from 658
submissions to ECML/PKDD.