April 23, 2018 - April 27, 2018, Lyon, France Better When It Was Smaller? "Too much of a Good Thing?” Foreign Policy, 18 December 2013 (with Ruben Enikolopov). in Computer Science in 2018, both from the University of Tokyo, where I worked with Prof. Masashi Sugiyama on machine learning and Prof. Hirosuke Yamamoto on information theory. Developing algorithms that are able to generalize to a novel task given only a few labeled examples represents a fundamental challenge in closing the gap between machine- and human-level performance. Undergraduate curriculum committee, 2004-2010. The core of human cognition lies in the structured, reusable concepts that help us to rapidly adapt to new tasks and provide reasoning behind our decisions. Jure Leskovec Chris Re Anand Rajaraman Rok Sosic Jeff Ullman Andreas Paepcke Data ... For each team member: 5 line CV/Bio about prior experience, and why you are prepared to take this course Ray Li, Percy Liang, Stephen Mussmann and Jure Leskovec. Supervisors: Prof. Jure Leskovec, Prof. Daniel McFarland, and Prof. Dan Jurafsky. Fax (773) 702-0874 . Hao Yin, Austin R. Benson, and Jure Leskovec. "The structural roots of group influence: Social closure vs. structural diversity.” Working Paper. I am serving a three-year term as Statistics Department Chair. Adaptive Sampling Towards Fast Graph Representation Learning. I am currently serving as the co-director of the Data Science Initiative with Jure Leskovec. Many GNN variants have been proposed and have achieved state-of-the-art results on both node and … Specialization: Algorithmic game theory. January 1st, 2016. ICML 2018. paper. I am a third-year Computer Science Ph.D. student at Stanford, advised by Prof. Jure Leskovec. During my undergraduate, I worked with Prof. Shou-De Lin at National Taiwan University, Prof. Jian Tang at MILA, and Prof. Jure Leskovec at Stanford. GNNs follow a neighborhood aggregation scheme, where the representation vector of a node is computed by recursively aggregating and transforming representation vectors of its neighboring nodes. arxiv: cs.CV/2003.14247 Google Scholar 1155 thEast 60 Street . Julian McAuley Associate Professor. 2012{Present: Research supervised by Prof. Jure Leskovec Ph.D. in Computer Science, Carnegie Mellon, PA 2007{2012: Research supervised by Prof. Manuel Blum and Prof. Carlos Guestrin GPA: 4.0 / 4.0 M.S. Interpretable Decision Sets: A Joint Framework for Description and Prediction. Advisor: Yoav Shoham. 1 FOTINI CHRISTIA MIT Political Science, 77 Massachusetts Avenue, Room E53-417, Cambridge, MA 02139, cfotini@mit.edu ACADEMIC POSITIONS October 2020-present: Director Sociotechnical Systems Research Center, IDSS, MIT A Tight Analysis of Greedy Yields Subexponential Time Approximation for Uniform Decision Tree. DPGN: Distribution Propagation Graph Network for Few-shot Learning. Analysis on the effect of downvoting on community structure and individual user behavior. Project types: Data analysis/Modeling project: Discovers interesting relationships within a significant amount of data Algorithmic project that extends/builds on what we learned in class Extend/Improve/Speed-up some existing algorithm Define a new problem and solve it 3/14/2013 Jure Leskovec & Anand Rajaraman, Stanford CS345a: Data Mining 4 Google Scholar; Ling Yang, Liangliang Li, Zilun Zhang, Xinyu Zhou, Erjin Zhou, and Yu Liu. Hardware. JENS LUDWIG. Tim Althoff is an assistant professor in the Paul G. Allen School of Computer Science & Engineering at the University of Washington. • Used language and social network features to classify fictional and real relationshipswith scikit-learn, NLTK, and Keras. I am a first year PhD student at CS Stanford. Wang, Dan J. Proceedings of the International Conference on … Knowledge-aware Graph Neural Networks with Label Smoothness Regularization for Recommender Systems. Proceedings of WWW, 2015. “What Can Civil War Scholars Tell US about the Syrian Conflict,” appeared in The Political Science of Syria’s War, POMEPS Briefings in collaboration with Foreign Policy, 18 December 2013. TextGarden: our text mining library . Summer 2017 Max Planck Institute for Software Systems, Kaiserslautern, Research Intern Research on stochastic optimal control. Cody Coleman, Christopher Yeh, Stephen Mussmann, Baharan Mirzasoleiman, Peter Bailis, Percy Liang, Jure Leskovec, Matei Zaharia. MIR: MIR is a WAP (web on cell phones) application for reading email from various IMAP email accounts.Simple and efficient. KDD 2019. paper; Yu Gong, Yu Zhu, Lu Duan, Qingwen Liu, Ziyu Guan, Fei Sun, Wenwu Ou, Kenny Q. Zhu. His research advances computational methods that leverage large-scale behavioral data to extract actionable insights about our lives, health and happiness through combining techniques from data science, social network analysis, and natural language processing. Research on hierarchical representation learning. OFFICE ADDRESS University of Chicago . Modeling interdisciplinary citation dynamics across subfields of sciences. Written in Python, available under GPL. in Computer Science, University of Illinois at Urbana-Champaign, IL 2005{2007: Research supervised by Prof. Eyal Amir GPA: 4.0 / 4.0 An Application to Human Perception of Randomness,” joint with Jon Kleinberg and Annie Liang, draft, 2015. Jianfei Chen, Jun Zhu, Le Song. in Computer Science. PhD Study, Research School of Computer Science, The Australian National University, Australia (2011 - 2015) Stanford Network Analysis Platform (SNAP) is a general purpose network analysis and graph mining library.It is written in C++ and easily scales to massive networks with hundreds of millions of nodes, and billions of edges. Lakkaraju, Jure Leskovec and Jens Ludwig, NBER Working Papers 23180, National Bureau of Economic Research, Inc. “The Theory is Predictive, but is it Complete? I have been named a MacArthur Fellow. 2015 (with Leon Yao, Stephen Wittels and Jure Leskovec). NIPS 2017. paper. "Strategic adaptation amid Institutional Uncertainty in Foreign-Market Entry: The Case of Chinese Cross-Border Investment Syndicates, 1991-2011.” Working paper. Chicago, IL 60637 (773) 702-3242, SSA (773) 834-0811, Harris School . Breadth-First Search Optimization Stanford, USA International Conference on Learning Representations (ICLR), 2020. 2020. SNAP for C++: Stanford Network Analysis Platform. McGill University, Montreal, Canada 2004{2008 B. Eng. Govorec: Slovenian text-to-speech synthesis software.Try it out. October, 2017. Wenbing Huang, Tong Zhang, Yu Rong, Junzhou Huang. Advances in Neural Information Processing Systems (NIPS), 2016. pdf. Teaching assignments committee, 2009-2014. ACM SIGKDD Conference on Knowledge Discovery and Data Mining (KDD), 2016. In ICLR. Acceptance rate: 14%. [link] Research Intern, Microso Research Worked with Susan Dumais, Eric Horvitz, and James W. Pennebaker Examining audience configurations in emailing 2019 Research Fellow, Crisis Text Line In collaboration with Cristian Danescu-Niculescu-Mizil, analyzing crisis Advised by Manuel-Gomez Rodriguez. If you would like to learn more about me, please see my [ CV] or contact me at sunfanyun [at] gmail.com. e-mail: ude.dscu.gne@yeluacmj New: Amazon 2018 dataset We've put together a new version of our Amazon data, including more reviews and additional metadata 2019. Advisor: Jure Leskovec. Jure Leskovec; Conference, WWW 2018. Wang, Dan J. and Jure Leskovec. 2015-2017 Stanford Data Science Initiative Flagship Project Award, $400,000 (together with Jure Leskovec, Dan Jurafsky, Daniel McFarland, Daniel Bernstein and Christopher Potts) 2015 SAP research grant, $600,000 (together with Jure Leskovec) 2014-2015 MBA Class of 1969 Faculty Scholar, Stanford Graduate School of Business Teaching & Advising TIM ALTHOFF CURRICULUM VITAE PaulG.AllenSchoolofComputerScience&Engineering UniversityofWashington Box352355,3800EStevensWayNE Seattle,WA98195,USA • Advised by David Jurgens in the Stanford Network Analysis Project (PI: Jure Leskovec)and NLP group (PI: Dan Jurafsky). by Myunghwan Kim and Jure Leskovec, Internet Mathematics, 8(1-2):113-160, 2012. Curriculum Vitae April, 2018 . Community Content and Behavior After Massive Growth 2017 Zhiyuan Lin, Niloufar Salehi, Bowen Yao, Yiqi Chen, Michael Bernstein; Conference, AAAI ICWSM 2017. How Powerful are Graph Neural Networks?. Keyulu Xu, Weihua Hu, Jure Leskovec, and Stefanie Jegelka. CV Pros ; Gas Gauge ... but we only lose around 40% of the visits when compared to a fully reopening with usual maximum occupancy,” Jure Leskovec, an … Advised by Rui Li and Jure Leskovec. • Modeling Social Networks with Node Attributes using the Multiplicative Attribute Graph Model: by Myunghwan Kim and Jure Leskovec, The 27th Conference on Uncertainty in … If you are interested in any of these positions, please send your full CV and a short (i.e., one page) cover letter detailing your research background and interests to wlh@cs.mcgill.ca with the subject line “POSTDOC APPLICANT”. I received a B.E. Advisors: Dan Jurafsky and Jure Leskovec Thesis: Representation Learning Methods for Computational Social Science MSc in Computer Science Graduated: October 2014 McGill University, Montreal, QC, Canada Advisor: Joelle Pineau Thesis: Compressed Predictive State Representation BSc in Computer Science Graduated: May 2013 However, existing meta-learning … Teaching load committee, 2006-2007. Undergraduate mentor, 2003-2008. Room 4102 Computer Science Department @ UCSD. William L. Hamilton, Rex Ying, Jure Leskovec. 22.The Local Closure Coefficient: A New Perspective On Network Clustering. EDUCATION Ph.D. Economics, Duke University, Durham, NC 1994 Hongwei Wang, Fuzheng Zhang, Mengdi Zhang, Jure Leskovec, Miao Zhao, Wenjie Li, Zhongyuan Wang. Himabindu Lakkaraju, Jure Leskovec. in Mathematical Engineering in 2016, and an M.S. Tel/ Whatsapp 0735543661 (apel de L-V de la 09.00 pina la 17.00, trimiterea cv-urilor se face la adresa de email ic@pro-tempus.com Sc Rad-Trans Srl din Bacau angajeaza pentru activitatea de deszapezire in Botosani, Vaslui si Neamt soferi categoria C, C + E. CV la office@boronea.ro, fax 0234510263, tel 0745125926 intre orele 18-20. Stanford University, Stanford, CA, USA 2008{2010 M.S. I am currently pursuing a PhD in Computer Science (CS) at Stanford University, advised by Prof. Jure Leskovec and Prof. Johan Ugander.Previously, I completed my undergrad at Columbia University, where I majored in CS and concentrated in Sociology, and was advised by Prof. Kathy McKeown. in Software Engineering (with distinction). Advisor: Jure Leskovec Oct. 2016 - Sep. 2017 A longitudinal study involving 17 separate online news discussion communities. Selected Awards and Honors Invited to \Best Papers of KDD 2016" TKDD Special Issue jludwig@uchicago.edu . Zarya: the BIG machine, donated by HP: 4 processors, 32GB ram, 1TB disk space. Himabindu Lakkaraju, Stephen H. Bach, Jure Leskovec. Stochastic Training of Graph Convolutional Networks with Variance Reduction. Community Interaction and Conflict on the Web Srijan Kumar, William L. Hamilton, Jure Leskovec, Dan Jurafsky. NeurIPS 2018. paper code Extensive study on the benefits and drawbacks of downvoting in online communities. Graph Neural Networks (GNNs) are an effective framework for representation learning of graphs. Software.