by Myunghwan Kim and Jure Leskovec, Internet Mathematics, 8(1-2):113-160, 2012. ICML 2018. paper. SNAP for C++: Stanford Network Analysis Platform. 1 FOTINI CHRISTIA MIT Political Science, 77 Massachusetts Avenue, Room E53-417, Cambridge, MA 02139, [email protected] ACADEMIC POSITIONS October 2020-present: Director Sociotechnical Systems Research Center, IDSS, MIT 1155 thEast 60 Street . Advised by Rui Li and Jure Leskovec. arxiv: cs.CV/2003.14247 Google Scholar 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. I am a first year PhD student at CS Stanford. Interpretable Decision Sets: A Joint Framework for Description and Prediction. Cody Coleman, Christopher Yeh, Stephen Mussmann, Baharan Mirzasoleiman, Peter Bailis, Percy Liang, Jure Leskovec, Matei Zaharia. Fax (773) 702-0874 . Proceedings of WWW, 2015. Community Content and Behavior After Massive Growth 2017 Zhiyuan Lin, Niloufar Salehi, Bowen Yao, Yiqi Chen, Michael Bernstein; Conference, AAAI ICWSM 2017. Software. However, existing meta-learning … "The structural roots of group influence: Social closure vs. structural diversity.” Working Paper. Acceptance rate: 14%. Many GNN variants have been proposed and have achieved state-of-the-art results on both node and … 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 A Tight Analysis of Greedy Yields Subexponential Time Approximation for Uniform Decision Tree. Tel/ Whatsapp 0735543661 (apel de L-V de la 09.00 pina la 17.00, trimiterea cv-urilor se face la adresa de email [email protected] Sc Rad-Trans Srl din Bacau angajeaza pentru activitatea de deszapezire in Botosani, Vaslui si Neamt soferi categoria C, C + E. CV la [email protected], fax 0234510263, tel 0745125926 intre orele 18-20. in Mathematical Engineering in 2016, and an M.S. Curriculum Vitae April, 2018 . Breadth-First Search Optimization Stanford, USA Teaching load committee, 2006-2007. Hao Yin, Austin R. Benson, and Jure Leskovec. Undergraduate mentor, 2003-2008. MIR: MIR is a WAP (web on cell phones) application for reading email from various IMAP email accounts.Simple and efficient. Wang, Dan J. I am currently serving as the co-director of the Data Science Initiative with Jure Leskovec. Wenbing Huang, Tong Zhang, Yu Rong, Junzhou Huang. Julian McAuley Associate Professor. 22.The Local Closure Coefficient: A New Perspective On Network Clustering. April 23, 2018 - April 27, 2018, Lyon, France Better When It Was Smaller? McGill University, Montreal, Canada 2004{2008 B. Eng. Google Scholar; Ling Yang, Liangliang Li, Zilun Zhang, Xinyu Zhou, Erjin Zhou, and Yu Liu. 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 NIPS 2017. paper. In ICLR. e-mail: [email protected] New: Amazon 2018 dataset We've put together a new version of our Amazon data, including more reviews and additional metadata 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. Govorec: Slovenian text-to-speech synthesis software.Try it out. in Computer Science, University of Illinois at Urbana-Champaign, IL 2005{2007: Research supervised by Prof. Eyal Amir GPA: 4.0 / 4.0 Hongwei Wang, Fuzheng Zhang, Mengdi Zhang, Jure Leskovec, Miao Zhao, Wenjie Li, Zhongyuan Wang. Adaptive Sampling Towards Fast Graph Representation Learning. If you would like to learn more about me, please see my [ CV] or contact me at sunfanyun [at] gmail.com. “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. in Software Engineering (with distinction). Teaching assignments committee, 2009-2014. 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. I am serving a three-year term as Statistics Department Chair. [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 Summer 2017 Max Planck Institute for Software Systems, Kaiserslautern, Research Intern Research on stochastic optimal control. Supervisors: Prof. Jure Leskovec, Prof. Daniel McFarland, and Prof. Dan Jurafsky. NeurIPS 2018. paper code Himabindu Lakkaraju, Jure Leskovec. Research on hierarchical representation learning. Extensive study on the benefits and drawbacks of downvoting in online communities. Community Interaction and Conflict on the Web Srijan Kumar, William L. Hamilton, Jure Leskovec, Dan Jurafsky. An Application to Human Perception of Randomness,” joint with Jon Kleinberg and Annie Liang, draft, 2015. Keyulu Xu, Weihua Hu, Jure Leskovec, and Stefanie Jegelka. Teaching & Advising 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. Chicago, IL 60637 (773) 702-3242, SSA (773) 834-0811, Harris School . 2019. Written in Python, available under GPL. 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 [email protected] with the subject line “POSTDOC APPLICANT”. Advances in Neural Information Processing Systems (NIPS), 2016. pdf. 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 … in Computer Science. JENS LUDWIG. Himabindu Lakkaraju, Stephen H. Bach, Jure Leskovec. Selected Awards and Honors Invited to \Best Papers of KDD 2016" TKDD Special Issue and Jure Leskovec. PhD Study, Research School of Computer Science, The Australian National University, Australia (2011 - 2015) Modeling interdisciplinary citation dynamics across subfields of sciences. International Conference on Learning Representations (ICLR), 2020. Hardware. 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. • Modeling Social Networks with Node Attributes using the Multiplicative Attribute Graph Model: by Myunghwan Kim and Jure Leskovec, The 27th Conference on Uncertainty in … Tim Althoff is an assistant professor in the Paul G. Allen School of Computer Science & Engineering at the University of Washington. I am a third-year Computer Science Ph.D. student at Stanford, advised by Prof. Jure Leskovec. Advised by Manuel-Gomez Rodriguez. TextGarden: our text mining library . Advisor: Jure Leskovec Oct. 2016 - Sep. 2017 A longitudinal study involving 17 separate online news discussion communities. EDUCATION Ph.D. Economics, Duke University, Durham, NC 1994 2015 (with Leon Yao, Stephen Wittels and Jure Leskovec). 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. Room 4102 Computer Science Department @ UCSD. Jure Leskovec; Conference, WWW 2018. October, 2017. Undergraduate curriculum committee, 2004-2010. 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 Stanford University, Stanford, CA, USA 2008{2010 M.S. I received a B.E. • Used language and social network features to classify fictional and real relationshipswith scikit-learn, NLTK, and Keras. Proceedings of the International Conference on … Analysis on the effect of downvoting on community structure and individual user behavior. KDD 2019. paper; Yu Gong, Yu Zhu, Lu Duan, Qingwen Liu, Ziyu Guan, Fei Sun, Wenwu Ou, Kenny Q. Zhu. • Advised by David Jurgens in the Stanford Network Analysis Project (PI: Jure Leskovec)and NLP group (PI: Dan Jurafsky). Specialization: Algorithmic game theory. 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. [email protected] . Graph Neural Networks (GNNs) are an effective framework for representation learning of graphs. 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 ACM SIGKDD Conference on Knowledge Discovery and Data Mining (KDD), 2016. Wang, Dan J. and Jure Leskovec. Ray Li, Percy Liang, Stephen Mussmann William L. Hamilton, Rex Ying, Jure Leskovec. 2020. Lakkaraju, Jure Leskovec and Jens Ludwig, NBER Working Papers 23180, National Bureau of Economic Research, Inc. “The Theory is Predictive, but is it Complete? Advisor: Yoav Shoham. Advisor: Jure Leskovec. Jianfei Chen, Jun Zhu, Le Song. How Powerful are Graph Neural Networks?. OFFICE ADDRESS University of Chicago . Stochastic Training of Graph Convolutional Networks with Variance Reduction. DPGN: Distribution Propagation Graph Network for Few-shot Learning. "Too much of a Good Thing?” Foreign Policy, 18 December 2013 (with Ruben Enikolopov). TIM ALTHOFF CURRICULUM VITAE PaulG.AllenSchoolofComputerScience&Engineering UniversityofWashington Box352355,3800EStevensWayNE Seattle,WA98195,USA Zarya: the BIG machine, donated by HP: 4 processors, 32GB ram, 1TB disk space. January 1st, 2016. 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