Experiments show improved model transferability and suggest that the methods are capable of automatically learning feature representations that expresses common predictive characteristics of MOOCs. Stanford University. However, it is not obvious how the theory assists the applications accordingly. Yanbang Wang: Anita Hanzhi Zheng: Visiting Scholar. Office: Shriram 084 wangbo@stanford.edu 650-725-7697 . He received the B.S. Ph.D. Stanford University, Materials Science and Engineering, in progress. Tim Althoff Assistant Professor, University of Washington Ashton Anderson Assistant Professor, University of Toronto Stephen Bach Assistant Professor, Brown University Austin Benson Assistant Professor, Cornell University Christina Brandt Research Scientist, Google Justin Cheng Research Scientist, Facebook Cristian … Dana Kralicek receives Stanford Graduate Fellowship! Stanford University School of Medicine Alway Building, M121 300 Pasteur Drive Palo Alto, CA 94306. Pendidikan wang disenaraikan pada profil mereka. 2005 - 2007 M.S. View Yanbang Wang’s profile on LinkedIn, the world's largest professional community. Professor Hai Wang Education: Ph.D., Pennsylvania State University, Fuel Science (1992) M.S., Michigan Technological University, Chemical Engineering (1986) July 2020: Congratulations to Dr. Alexander Martin Stahl for successfully defending his PhD thesis ()! Contact Info. @article{li2020distance, title={Distance Encoding--Design Provably More Powerful GNNs for Structural Representation Learning}, author={Li, Pan and Wang, Yanbang and Wang, Hongwei and Leskovec, Jure}, journal={arXiv preprint arXiv:2009.00142}, year={2020} } Palo Alto Medical Foundation 3200 Kearney St Bldg 2 Fl 2 Fremont, CA 94538. Pan Li, Yanbang Wang, Hongwei Wang, Jure Leskovec: Distance Encoding - Design Provably More Powerful Graph Neural Networks for Structural Representation Learning. Dit-Yan Yeung Chair Professor and Head of CSE Department, HKUST, Hong Kong Verified email at cse.ust.hk. We present a new organization of MOOC learner activity data at a resolution that is in between the fine granularity of the clickstream and coarse organizations that count activities, aggregate students or use long duration time units. We also prove that DE can distinguish node sets embedded in almost all regular graphs where traditional GNNs always fail. Bo Wang. in Computer Science (doubled Mathematics major) degree Summa Cum … 111. Stanford . In: Proceedings of the 16th international conference on artificial reality and telexistence-workshops , Hangzhou, China , 29 November–1 December 2006 , pp. [07/2020] Ever thought of detecting lies and nervousness with graph algorithms? Enter the terms you wish to search for. Elaine continues her research in Wang Group as a postdoctoral scholar. PhD Program Jure Leskovec, Computer Science Department, Stanford University, My research focuses on mining and modeling large social and information networks, their evolution, and diffusion of information and influence over them. [03/2019] Two papers accomplished during internship at MIT CSAIL are presented in oral at International Conference on Learning Analytics and Knowledge (LAK'19), Phoenix, US. Dr. Wang graduated from the University of California San Diego School of Medicine in 1984. Yanbang Wang is on Facebook. School of Earth, Energy and Environmental Sciences, Freeman Spogli Institute for International Studies, Institute for Computational and Mathematical Engineering (ICME), Institute for Human-Centered Artificial Intelligence (HAI), Institute for Stem Cell Biology and Regenerative Medicine, Stanford Institute for Economic Policy Research (SIEPR), Stanford Woods Institute for the Environment, Office of VP for University Human Resources, Office of Vice President for Business Affairs and Chief Financial Officer. [11/2020] Join Program Commitee IJCAI'21. Usually come with two things: Node attributes: Raw text (or Bag-of-Word / TF-IDF features) May or may not have extra numerical features. Hongwei Wang. Beyond network science, I broadly work on data science and general AI research. hfgwang@stanford.edu EDUCATION. Stanford University ... Dongwei Zhao, Hao Wang, Jianwei Huang, and Xiaojun Lin, IEEE Journal on Selected Areas in Communications, 2020. Stephen Palumbi, Bo Wang and Yunzhi Peter Yang received a grant from the Stanford Woods Institute for the Environment for identifying factors that affect coral reef’s resistance to bleaching using Yang lab’s newly developed high throughput bioprinting platform. Collaborated work with Carl Yang, Pan Li and Prof. Jiawei Han. Yang Wang is a Materials Science and Engineering PhD student at Stanford. China Agricultural University, Beijing, China PUBLICATIONS. The theory in (Li et al. We welcome Yanbang Wang and Ignavier Ng, ... December 1, 2012: Una-May has returned from the Oxford-Stanford Conference on Big Data: Challenges and Opportunities for Human Health where she presented the EC-Star platform. Subrahmanian vs@dartmouth.edu Dartmouth College Jure Leskovec jure@cs.stanford.edu Stanford University ABSTRACT Social interactions, such as eye contact, speaking and listening, are ubiquitous in our life … Preprints and early … IEEE Xplore ; IEEE TSG "Virtual energy storage sharing and capacity allocation", Dongwei Zhao, Hao Wang, Jianwei Huang, and Xiaojun Lin, IEEE Transactions on Smart Grid, 2020. CAWs are the current SOTA on both transductive and inductive link prediction tasks in temporal networks. A recently proposed technique distance encoding (DE) (Li et al. Dr. Wang is affiliated with Stanford Hospital, Washington Hospital and Natividad Medical Center. Four empirical mini-studies suggest that DATs contain rich information about students' learning behaviors and facilitate MOOC learning analyses. Research Interests . CAWs are extracted by temporal random walks and work as automatic retrieval of temporal network motifs to represent network dynamics, while avoiding the time-consuming selection and counting of those motifs. Yanbang Wang Stanford University Verified email at stanford.edu. The multi-year Stanford Graduate Fellowship in Science and Engineering (SGF) supports exceptional incoming … DE assists GNNs in representing any set of nodes, while providing strictly more expressive power than the 1-Weisfeiler-Lehman test. We propose Causal Anonymous Walks (CAWs) for inductive representation learning in temporal networks. View Yang Wang’s profile on LinkedIn, the world's largest professional community. DE is the current SOTA on link prediction and triplet prediction tasks over static graphs. Collaborated work with Carl Yang, Pan Li and Prof. Jiawei Han. Yanbang Wang, Pan Li, Chongyang Bai, V.S. Bo Wang. We further propose a neural-network model CAW-s to encode CAWs, and pair it with a CAW sampling strategy with constant memory and time cost to support online training and inference. Before that, I received my B.S. Haoteng YIN (Purdue University)*; Yanbang Wang (Stanford University); Pan Li (Stanford University - Purdue University). Yanbang Wang Masters Student in Computer Science, admitted Autumn 2019 Bio STANFORD ADVISORS • Jeffrey Ullman, Master's Program Advisor. Pregiven linkage . Zhiwei DING PhD, MIT，NUS Verified email at mit.edu. Yanbang Wang, Jul 27, 2020 at UIUC DMG. Yanbang Wang Masters Student in Computer Science, admitted Autumn 2019. We focus on node classification scenarios and categorize the node labels into two types, community type and structure type, and then analyze different mechanisms that GNNs adopt to predict these two types of labels. Check out our on-going work on graph neural modeling of dynamic social interactions presented, [10/2019] Our AI-powered video analysis system EmotionCue gets media coverage by. I joined Stanford Social Network Analysis Group (SNAP) in 2019, where I have been very fortunate working closely with Prof. Jure Leskovec and Prof. Pan Li.Before that, I received my B.S. Updated 01/2020: my dearest hope and support to all my friends there! in Computer Science (doubled Mathematics major) degree Summa Cum Laude (1%) from the Hong Kong University of Science and Technology. TEDIC adopts diffusion of node attributes over a combination of the original network and its complement to capture long-hop interactive patterns embedded in the behaviors of people making or avoiding contact. CoRR abs/2009.00142 ( 2020 ) in Biological Science. Dr. Srinivasan is affiliated with Stanford Hospital and Washington Hospital. Stanford University jtian97@stanford.edu Yanbang Wang Department of Computer Science Stanford University ywangdr@stanford.edu 1. Hong Kong University of Science and Technology. The site facilitates research and collaboration in academic endeavors. We propose that an effective solution is to enrich more types of relational information and to consider various relational information simultaneously when modeling the text. CV  /  This philosopher’s family name was “Wang,” his personalname was “Shouren,” and his “courtesy name”was “Bo–an.”[1] However, he is normally known today as“Wang Yangming,” based on a nickname he adopted when hewas living in the Yangming Grotto of Kuaiji Mountain. Assistant Professor Departments of Bioengineering, and (by courtesy) of Developmental Biology . Join Facebook to connect with Yanbang Wang and others you may know. Our work explores this possibility by exploiting latent but rich textual links among documents that can be explicitly formulated by just analyzing the text. GitHub  /  I extensively work with rich-labeled relational structures, graphs, networks that model real-world complex interconnected systems in both static and dynamic nature. 2020) magically enhances GNN’s power in many applications. Yanbang "Abel" Wang, Hong Kong Universityof Science and Technology, Hong Kong HK Gili Rusak, Standford University, Stanford CA USA Joseph Ortiz, University of Oxford, Oxford England UK Tom Schmiedlechner, University of Applied Sciences Upper Austra, Hagenburg Austria Mucong "John" Ding, Hong Kong University of Science and Technology, Hong Kong HK Yuanzhe Chen, Hong Kong University … Yanbang Wang is on Facebook. Chen, HW, Wang, SM, Cao, SQ, et al. Jun. Yanbang Wang is part of Stanford Profiles, official site for faculty, postdocs, students and staff information (Expertise, Bio, Research, Publications, and more). His current work at Dauskardt Group involves nanocomposites that contain polymer chains in molecular scale confinement. Check them out below! June 2020: Drs. Administrative associate: Jasmine Desiderio jdes@stanford.edu (Don't click) Former Members. View Bai Yang Wang’s profile on LinkedIn, the world’s largest professional community. Yang has 3 jobs listed on their profile. 2020) supports DE by proving that DE improves the representation power of GNNs. As a graduate from Department of Polymer at Shanghai Jiao Tong University, Yang is always interested in polymer-related research. Yanbang Wang, Yen-Yu Chang, Yunyu Liu, Pan Li, Jure Leskovec In this paper we propose Causal Anonymous Walks (CAWs) to inductively represetn a temporal network. [08/2019] Invited to give a spotlight talk at Central China Normal University (Wuhan, China) on graphical modeling of Chinese history data. Bai Yang Wang's 13 research works with 153 citations and 1,706 reads, including: Strain-induced room-temperature ferroelectricity in SrTiO3 membranes I am a second-year master student of computer science ("Distinction in Research" track) at Stanford University. Z. Wang, G. Yang, X. Su and M. Schwager, "OuijaBots: Omnidirectional Robots for Cooperative Object Transport with Rotation Control using No Communication," In Proc. Abdullah-Al-Zubaer Imran, PhD . We are the rst to leverage the newly released China Government Em-ployee Database … Pregiven linkage . Thermal Barrier … Tao WANG, Dr of Stanford University, CA (SU) | Read 60 publications | Contact Tao WANG Overview; Insurance; Office Info; Overview. Tsinghua University, Beijing, China 2000 - 2004 B.S. Lihat profil wang shiwan di LinkedIn, komuniti profesional yang terbesar di dunia. Here, we revisit GNNs and DE from a more practical point of view to explain how DE makes GNNs fit for node classification and link prediction. We're looking forward to interacting with MIT students keen to learn more about machine learning and … Yanbang Wang Department of Computer Science Stanford University ywangdr@cs.stanford.edu Hongwei Wang Department of Computer Science Stanford University hongweiw@cs.stanford.edu Jure Leskovec Department of Computer Science Stanford University jure@cs.stanford.edu Abstract Learning representations of sets of nodes in a graph is crucial for applications rang- ing from node-role … We present an automated transductive transfer learning approach that addresses students’ dropping out behaviors in Massive Open Online Courses. Yanbang Wang. Jiaxuan You (Stanford University) 2nd CS PhD student in Stanford. NeurIPS 2020 Pan Li , Zhen Qin, Xuanhui Wang and Donald Metzler, " Combining Decision Trees and Neural Networks for Learning to Rank in Personal Search ," KDD 2019. Honors & Awards. Xi Yu, MS student (10/2018-05/2020). He works in FREMONT, CA and 2 other locations and specializes in Internal Medicine. Join Facebook to connect with Yanbang Wang and others you may know. Stephen Palumbi, Bo Wang and Yunzhi Peter Yang received a grant from the Stanford Woods Institute for the Environment for identifying factors that affect coral reef’s resistance to bleaching using Yang lab’s newly developed high throughput bioprinting platform. Mucong Ding. NeurIPS 2020 • Pan Li • Yanbang Wang • Hongwei Wang • Jure Leskovec Learning representations of sets of nodes in a graph is crucial for applications ranging from node-role discovery to link prediction and molecule classification. Why this topic? Such assumption and reliance, however, make them easily suffer when the given relational data are actually less informative. Abstract: Social interaction, such as eye contact, speaking and listening, are ubiquitous in our life and carries important clues of human's social status and psychological state. Albert Yanbang Wang , MD. Internal Medicine (510) 490-1222. Dr. Wang graduated from the University of California San Diego School of Medicine in 1984. His current work at Dauskardt Group involves nanocomposites that contain polymer chains in molecular scale confinement. 2007 - 2013 Ph.D, Biochemistry, Molecular, Cellular and Developmental Biology. [01/2021] Two first-authored papers on dynamic network modeling accepted respectively to ICLR'21 and WebConf'21. Yang Wang . Congratulations to Dana Kralicek for receiving a 2019 Stanford Graduate Fellowship in Science & Engineering! Yanbang Wang (王彦邦) I am a second-year master student of computer science ("Distinction in Research" track) at Stanford University. BioYang Wang is a Materials Science and Engineering PhD student at Stanford. Yanbang Wang. University of California, Davis, CA . Shanghai Jiao Tong University, Polymer Science and Engineering , 2016 . Pan Li, Yanbang Wang, Hongwei Wang, Jure Leskovec, "Distance Encoding -- Design Provably More Powerful Graph Neural Networks for Structural Representation Learning. " Email: wang95@stanford.edu. Honors & Awards. This used to be a central ques-tion studied by historians and archaeologist. Text-rich Graphs. July 2020: Congratulations to Dr. Alexander Martin Stahl for successfully defending his PhD thesis ! Yanbang Wang. Yanbang Wang Department of Computer Science Stanford University ywangdr@cs.stanford.edu Hongwei Wang Department of Computer Science Stanford University hongweiw@cs.stanford.edu Jure Leskovec Department of Computer Science Stanford University jure@cs.stanford.edu Abstract Learning representations of sets of nodes in a graph is crucial for applications rang- ing from node-role … The results demonstrate the uniform effectiveness of DE to predict structure-type labels. As such, he would have received a fairlyconventional education, with a focus on the Four Books of theConfucian tradition: the A… My works typically involve interdisciplinary topics such as computational social science, contextualized natural language understanding, e-commerce and recommender systems, etc. These networks … Department of Computer Science and Engineering, Hong Kong University of Science and Technology, Hong Kong SAR, China , Nancy Law. INTRODUCTION What determines political promotion of civil servants in an-cient China’s feudal system? TEDIC is evaluated over four social character prediction tasks: detecting deception detection, dominance, nervousness detection and community. CAWs adopt a novel anonymization strategy that replaces node identities with the hitting counts of the nodes based on a set of sampled walks to keep the method inductive, and simultaneously establish the correlation between motifs. It consists of three views: a summary view depicting the overall emotions and their dynamic evolution, a character view presenting the detailed emotion status of an individual, and a video view enhancing the video analysis with further details. Mechanical product growth design based product genetic engineering . We will investigate the development of coral polyps. Hanjay Wang is part of Stanford Profiles, official site for faculty, postdocs, students and staff information (Expertise, Bio, Research, Publications, and more). I joined Stanford Social Network Analysis Group (SNAP) in 2019, where I have been very fortunate working closely with Prof. Jure Leskovec and Prof. Pan Li. We are a discovery-driven research group working at the interface between developmental biology, bioengineering, and statistical physics. Google Scholar  /  B.S. Yanbang Wang ywangdr@cs.stanford.edu Stanford University Pan Li panli@purdue.edu Stanford University, Purdue University Chongyang Bai cy@cs.dartmouth.edu Dartmouth College V.S. Office: Durand Building, Rm. [07/2020] Super excited to start my summer research at UIUC Data Mining Group with Prof. Jiawei Han. Yanbang Wang1, Yen-Yu Chang2, Yunyu Liu3, Jure Leskovec 1, Pan Li;3 1Department of Computer Science, 2Electrical Engineering, Stanford University 3Department of Computer Science, Purdue University {ywangdr,jure}@cs.stanford.edu,yenyu@stanford.edu {liu3154,panli}@purdue.edu ABSTRACT Temporal networks serve as abstractions of many real-world dynamic systems. We also reach three pieces of conclusions on how to use GNNs and DE properly in tasks of node classification. We propose and mathematically analyze a general class of structure-related features, termed Distance Encoding (DE). Centre for Information Technology in Education, The University of Hong Kong, Hong Kong SAR, China , Erik Hemberg . Our collaboration with Steve Palumbi and Peter Yang is funded by the Stanford Woods Institute for the Environment. They provide hints for inferring the possible inaccuracy and the corresponding reasons. At Stanford, Dr. Wang works on advanced CT detector designs and imaging algorithms. graph representation … [07/2020] Invited to give a talk on collective text classification using semantic links at UIUC Data Mining Group. IEEE Xplore; IEEE Systems "Game-Theoretic Analysis of Mining Strategy in Bitcoin … A detailed access trajectory (DAT) consists of binary values and is two dimensional with one axis that is a time series, and the other that is a chronologically ordered list of a MOOC component type's instances, videos in instructional order, for example. My research focuses on machine learning and data mining algorithms for understanding large-scale graph-structured data. Bai Yang has 4 jobs listed on their profile. Wang H, La Russa M, Qi S Lei, CRISPR-Cas9 in genome editing and … Jing Huang: Alumni. Verified email at connect.ust.hk - Homepage. Download image. 2020. Considering the possible inaccuracy of emotion recognition, we also explore several factors affecting the emotion analysis, such as face size and occlusion. Machine Learning Deep Learning Statistical Learning … Follow. However, GNNs are often used as a black-box tool and rarely get in-depth investigated regarding whether they fit certain applications that may have various properties. Yang Wang is a Materials Science and Engineering PhD student at Stanford. Seema Nagar (IBM Research)*; Sameer Gupta (National Institute of Technology, Kurukshetra); C.S. Jul. Contact. LinkedIn. I am interested in exploring new applications and developing advanced strategies for molecular hybrids. As a graduate from Department of Polymer at Shanghai Jiao Tong University, Yang is always interested in polymer-related research. Dr. Srinivasan graduated from the University of California Davis School of Medicine in 2003. Previous studies typically assume that such relational data are informative for prediction, and use them in ways that highly trust their usefulness. Latest COVID-19 updates. Why this topic? degree from Columbia University in 1963 and the PhD from Princeton in 1966. It consistently outperforms previous SOTAs and provides interesting social insights. Dr. Wang enjoys running, swimming, and reading in his spare time. Yang Wang Ph.D. Student in Materials Science and Engineering, admitted Autumn 2016. She has a strong interest and dedication … 608 – 611 . Dr. Imran is a postdoctoral scholar in the Wang group and is also co-mentored by Prof. Bhavik Patel. Stanford News highlights our paper in PLOS Computational Biology, which develops a new method to predict unprecedent extreme events in ecological fluctuations. 12.06; Stanford University; Jure Leskovec. of the International Symposium on Distributed Autonomous Robotics Systems (DARS), London, UK, 2016. HKMA IT Management Club Scholarship (2019), University’s Scholarship for Undergraduate, top-tier for twice (2017, 2018), Hong Kong SAR Government Scholarship, Reaching Out Award (2018), Overseas Learning Experience Scholarship (2018), National Mathematical Olympiad (Guangdong, China): 1st Prize for Middle School, 2nd Prize for High School (2011, 2014). 30.95; Stanford University; Download file PDF Read file. Graph neural networks (GNNs) are widely used in the applications based on graph structured data, such as node classification and link prediction.