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Poster Session #1
Adarsh Jamadandi · Sophia Sanborn · Huaxiu Yao · Chen Cai · Yu Chen · Jean-Marc Andreoli · Niklas Stoehr · Shih-Yang Su · Tony Duan · Fábio Ferreira · Davide Belli · Amit Boyarski · Ze Ye · Elahe Ghalebi · Arindam Sarkar · MAHMOUD KHADEMI · Evgeniy Faerman · Joey Bose · Jiaqi Ma · Lin Meng · Seyed Mehran Kazemi · Guangtao Wang · Tong Wu · Yuexin Wu · Chaitanya K. Joshi · Marc Brockschmidt · Daniele Zambon · Colin Graber · Rafaël Van Belle · Osman Asif Malik · Xavier Glorot · Mario Krenn · Chris Cameron · Binxuan Huang · George Stoica · Alexia Toumpa

Fri Dec 13 11:30 AM -- 12:30 PM (PST) @
in Graph Representation Learning »

Author Information

Adarsh Jamadandi (KLE Technological University)

Masters student in Computer Science at the Saarland University. Research interests include Graph Representation Learning and Deep Learning.

Sophia Sanborn (UC Berkeley)
Huaxiu Yao (Pennsylvania State University)
Chen Cai (Ohio State Univesity)
Yu Chen (Rensselaer Polytechnic Institute)

I am a fifth year PhD student in the Computer Science Department of Rensselaer Polytechnic Institute. My advisor is Prof. Mohammed J. Zaki. I have broad research interests in Machine Learning, Data Mining and their applications in Natural Language Processing.

Jean-Marc Andreoli (Naverlabs Europe)
Niklas Stoehr (University College London)
Shih-Yang Su (Virginia Tech)

https://lemonatsu.github.io/files/Shih-Yang_Su_CV.pdf

Tony Duan (Stanford)
Fábio Ferreira (Karlsruhe Institute of Technology (KIT), Stanford University)
Davide Belli (University of Amsterdam / Qualcomm AI)

linkedin.com/in/davide-belli-uva/ twitter.com/davide__belli github.com/davide-belli

Amit Boyarski (Technion, Israel Institute of Technology)
Ze Ye (Stony Brook University)
Elahe Ghalebi (TU Wien)
Arindam Sarkar (Amazon India)

Applied Scientist in Amazon India ML team. I work on problems in ranking and recommendation.

MAHMOUD KHADEMI (Simon Fraser University)
Evgeniy Faerman (Ludwig Maximilian University of Munich)
Joey Bose (McGill/MILA)

I’m a PhD student at the RLLab at McGill/MILA where I work on Adversarial Machine Learning on Graphs. Previously, I was a Master’s student at the University of Toronto where I researched crafting Adversarial Attacks on Computer Vision models using GAN’s. I also interned at Borealis AI where I was working on applying adversarial learning principles to learn better embeddings i.e. Word Embeddings for Machine Learning models.

Jiaqi Ma (University of Michigan)
Lin Meng (Florida State University)
Seyed Mehran Kazemi (University of British Columbia)
Guangtao Wang (JD.Com)
Tong Wu (University of Minnesota)
Yuexin Wu (Carnegie Mellon University)
Chaitanya K. Joshi (Nanyang Technological University)
Marc Brockschmidt (Microsoft Research)
Daniele Zambon (Università della Svizzera italiana)
Colin Graber (University of Illinois at Urbana-Champaign)
Rafaël Van Belle (KU Leuven)
Osman Asif Malik (University of Colorado Boulder)
Xavier Glorot (DeepMind)
Mario Krenn (Department of Chemistry, University of Toronto)
Chris Cameron (University of British Columbia)
Binxuan Huang (Carnegie Mellon University)
George Stoica (Carnegie Mellon University)
Alexia Toumpa (University of Leeds)

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