Govorec: Slovenian text-to-speech synthesis software.Try it out. I am currently serving as the co-director of the Data Science Initiative with Jure Leskovec. Ray Li, Percy Liang, Stephen Mussmann 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. William L. Hamilton, Rex Ying, Jure Leskovec. Selected Awards and Honors Invited to \Best Papers of KDD 2016" TKDD Special Issue “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. Summer 2017 Max Planck Institute for Software Systems, Kaiserslautern, Research Intern Research on stochastic optimal control. Advisor: Jure Leskovec Oct. 2016 - Sep. 2017 A longitudinal study involving 17 separate online news discussion communities. McGill University, Montreal, Canada 2004{2008 B. Eng. in Software Engineering (with distinction). "Too much of a Good Thing?” Foreign Policy, 18 December 2013 (with Ruben Enikolopov). Advised by Manuel-Gomez Rodriguez. I am a third-year Computer Science Ph.D. student at Stanford, advised by Prof. Jure Leskovec. Wang, Dan J. DPGN: Distribution Propagation Graph Network for Few-shot Learning. I have been named a MacArthur Fellow. Graph Neural Networks (GNNs) are an effective framework for representation learning of graphs. Modeling interdisciplinary citation dynamics across subfields of sciences. TIM ALTHOFF CURRICULUM VITAE PaulG.AllenSchoolofComputerScience&Engineering UniversityofWashington Box352355,3800EStevensWayNE Seattle,WA98195,USA Chicago, IL 60637 (773) 702-3242, SSA (773) 834-0811, Harris School . Hongwei Wang, Fuzheng Zhang, Mengdi Zhang, Jure Leskovec, Miao Zhao, Wenjie Li, Zhongyuan Wang. KDD 2019. paper; Yu Gong, Yu Zhu, Lu Duan, Qingwen Liu, Ziyu Guan, Fei Sun, Wenwu Ou, Kenny Q. Zhu. 22.The Local Closure Coefficient: A New Perspective On Network Clustering. International Conference on Learning Representations (ICLR), 2020. How Powerful are Graph Neural Networks?. 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 SNAP for C++: Stanford Network Analysis Platform. [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 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. A Tight Analysis of Greedy Yields Subexponential Time Approximation for Uniform Decision Tree. Knowledge-aware Graph Neural Networks with Label Smoothness Regularization for Recommender Systems. • Advised by David Jurgens in the Stanford Network Analysis Project (PI: Jure Leskovec)and NLP group (PI: Dan Jurafsky). Acceptance rate: 14%. I received a B.E. Undergraduate mentor, 2003-2008. Advisor: Yoav Shoham. April 23, 2018 - April 27, 2018, Lyon, France Better When It Was Smaller? Teaching & Advising Tim Althoff is an assistant professor in the Paul G. Allen School of Computer Science & Engineering at the University of Washington. An Application to Human Perception of Randomness,” joint with Jon Kleinberg and Annie Liang, draft, 2015. Tel/ Whatsapp 0735543661 (apel de L-V de la 09.00 pina la 17.00, trimiterea cv-urilor se face la adresa de email Sc Rad-Trans Srl din Bacau angajeaza pentru activitatea de deszapezire in Botosani, Vaslui si Neamt soferi categoria C, C + E. CV la, fax 0234510263, tel 0745125926 intre orele 18-20. Undergraduate curriculum committee, 2004-2010. OFFICE ADDRESS University of Chicago . Interpretable Decision Sets: A Joint Framework for Description and Prediction. in Mathematical Engineering in 2016, and an M.S. 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. JENS LUDWIG. and Jure Leskovec. Curriculum Vitae April, 2018 . 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. Proceedings of WWW, 2015. However, existing meta-learning … Stochastic Training of Graph Convolutional Networks with Variance Reduction. "The structural roots of group influence: Social closure vs. structural diversity.” Working Paper. 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. Keyulu Xu, Weihua Hu, Jure Leskovec, and Stefanie Jegelka. TextGarden: our text mining library . 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 with the subject line “POSTDOC APPLICANT”. Adaptive Sampling Towards Fast Graph Representation Learning. Stanford University, Stanford, CA, USA 2008{2010 M.S. Advances in Neural Information Processing Systems (NIPS), 2016. pdf. Community Interaction and Conflict on the Web Srijan Kumar, William L. Hamilton, Jure Leskovec, Dan Jurafsky. If you would like to learn more about me, please see my [ CV] or contact me at sunfanyun [at] Written in Python, available under GPL. in Computer Science. Advised by Rui Li and Jure Leskovec. ICML 2018. paper. Hao Yin, Austin R. Benson, and Jure Leskovec. Breadth-First Search Optimization Stanford, USA Room 4102 Computer Science Department @ UCSD. Proceedings of the International Conference on … 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. Analysis on the effect of downvoting on community structure and individual user behavior. I am a first year PhD student at CS Stanford. In ICLR. 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. . 2019. January 1st, 2016. Jianfei Chen, Jun Zhu, Le Song. 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 Many GNN variants have been proposed and have achieved state-of-the-art results on both node and … Zarya: the BIG machine, donated by HP: 4 processors, 32GB ram, 1TB disk space. 1 FOTINI CHRISTIA MIT Political Science, 77 Massachusetts Avenue, Room E53-417, Cambridge, MA 02139, ACADEMIC POSITIONS October 2020-present: Director Sociotechnical Systems Research Center, IDSS, MIT Community Content and Behavior After Massive Growth 2017 Zhiyuan Lin, Niloufar Salehi, Bowen Yao, Yiqi Chen, Michael Bernstein; Conference, AAAI ICWSM 2017. MIR: MIR is a WAP (web on cell phones) application for reading email from various IMAP email accounts.Simple and efficient. 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. Specialization: Algorithmic game theory. 1155 thEast 60 Street . October, 2017. 2015 (with Leon Yao, Stephen Wittels and Jure Leskovec). arxiv: cs.CV/2003.14247 Google Scholar ACM SIGKDD Conference on Knowledge Discovery and Data Mining (KDD), 2016. Supervisors: Prof. Jure Leskovec, Prof. Daniel McFarland, and Prof. Dan Jurafsky. Research on hierarchical representation learning. Himabindu Lakkaraju, Stephen H. Bach, Jure Leskovec. Jure Leskovec; Conference, WWW 2018. Software. in Computer Science, University of Illinois at Urbana-Champaign, IL 2005{2007: Research supervised by Prof. Eyal Amir GPA: 4.0 / 4.0 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 NeurIPS 2018. paper code Hardware. Advisor: Jure Leskovec. • Used language and social network features to classify fictional and real relationshipswith scikit-learn, NLTK, and Keras. 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 … Extensive study on the benefits and drawbacks of downvoting in online communities. Fax (773) 702-0874 . NIPS 2017. paper. Wang, Dan J. and Jure Leskovec. 2020. 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 Lakkaraju, Jure Leskovec and Jens Ludwig, NBER Working Papers 23180, National Bureau of Economic Research, Inc. “The Theory is Predictive, but is it Complete? Cody Coleman, Christopher Yeh, Stephen Mussmann, Baharan Mirzasoleiman, Peter Bailis, Percy Liang, Jure Leskovec, Matei Zaharia. Google Scholar; Ling Yang, Liangliang Li, Zilun Zhang, Xinyu Zhou, Erjin Zhou, and Yu Liu. PhD Study, Research School of Computer Science, The Australian National University, Australia (2011 - 2015) • Modeling Social Networks with Node Attributes using the Multiplicative Attribute Graph Model: by Myunghwan Kim and Jure Leskovec, The 27th Conference on Uncertainty in … 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. Julian McAuley Associate Professor. "Strategic adaptation amid Institutional Uncertainty in Foreign-Market Entry: The Case of Chinese Cross-Border Investment Syndicates, 1991-2011.” Working paper. Teaching assignments committee, 2009-2014. Teaching load committee, 2006-2007. 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 EDUCATION Ph.D. Economics, Duke University, Durham, NC 1994 by Myunghwan Kim and Jure Leskovec, Internet Mathematics, 8(1-2):113-160, 2012. I am serving a three-year term as Statistics Department Chair. Wenbing Huang, Tong Zhang, Yu Rong, Junzhou Huang. Himabindu Lakkaraju, Jure Leskovec.

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