Identifying Homeless Youth At-Risk of Substance Use Disorder: Data-Driven Insights for Policymakers. Paper #1: Joint Policy-Value Learning for Recommendation. (Presentation time: Thursday August 27 1:30-3:30PM, Poster Time: Thursday August 27 6:00-7:00PM), Best Paper Runner-up News. In Search of Optimal Configurations for Data Analytics, Towards Building an Intelligent Chatbot for Customer Service: Learning to Respond at the Appropriate Time, Two Sides of the Same Coin: White-box and Black-box Attacks for Transfer Learning, Unsupervised Translation via Hierarchical Anchoring: Functional Mapping of Places across Cities, USAD : UnSupervised Anomaly Detection on multivariate time series, User Sentiment as a Success Metric: Persistent Biases Under Full Randomization, What is that Building? SAN DIEGO, Sept. 14, 2020—KDD 2020, the premier interdisciplinary conference in data science, is pleased to announce the recipients of the SIGKDD Best Paper Awards, recognizing papers presented at the annual SIGKDD conference that advance the fundamental understanding of the field of knowledge discovery in data and data mining. (Presentation time: Tuesday August 25, 10:00am-12:00pm). https://www.kdd.org/kdd2020/calls/view/kdd-2020-call-for-research-papers Get business, sports, entertainment news, view videos, photos and more on NJ.com. 1989 to be exact. Awards. View daily NJ weather updates, watch videos and photos, join the discussion in forums. Winners were selected from more than 2,000 papers … Innovation Award. 2020. Service Award. This weeks guest post comes from KDD (Knowledge Discovery and Data Mining). Honestly, KDD has been promoting data science way before data science was even cool. KDD 2020 Call for Student Registration Award Applications [DEADLINE EXTENDED!] KDD-2014 features plenary presentations, paper presentations, poster sessions, workshops, tutorials, exhibits, and the KDD Cup competition. 2020. Time Series Data Mining Can Increase the Productivity of Poultry Farms, Forecasting the Evolution of Hydropower Generation, Fraud Transactions Detection via Behavior Tree with Local Intention Calibration, Game Action Modeling for Fine Grained Analyses of Player Behavior in Multi-player Card Games (Rummy as case study), Gemini: A novel and universal heterogeneous graph information fusing framework for online recommendations, General-Purpose User Embeddings based on Mobile App Usage, Grale: Designing Networks for Graph Learning, GrokNet: Unified Computer Vision Model Trunk and Embeddings For Commerce, HetETA: Heterogeneous Information Network Embedding for Estimating Time of Arrival, Hubble: an Industrial System for Audience Expansion in Mobile Marketing, Hybrid Spatio-Temporal Graph Convolutional Network: Improving Traffic Prediction with Navigation Data, Hypergraph Convolutional Recurrent Neural Network, Identifying Homeless Youth At-Risk of Substance Use Disorder: Data-Driven Insights for Policymakers, Improving Deep Learning For Airbnb Search, Improving Movement Predictions of Traffic Actors in Bird's-Eye View Models using GANs and Differentiable Trajectory Rasterizatio, Improving Recommendation Quality in Google Drive, Intelligent Exploration for User Interface Modules of Mobile App with Collective Learning, Interleaved Sequence RNNs for Fraud Detection, Jointly Learning to Recommend and Advertise, Knowing your FATE: Friendship, Action and Temporal Explanations for User Engagement Prediction on Social Apps, Large-Scale Training System for 100-Million Classification at Alibaba, Learning instrument invariant characteristics for generating high-resolution global coral reef maps, Learning to Cluster Documents into Workspaces Using Large Scale Activity Logs, Learning to Generate Personalized Query Auto-Completions via a Multi-View Multi-Task Attentive Approach, Learning to score economic development from satellite imagery, Learning with Limited Labels via Momentum Damped Differentially Weighted Training, LRSpeech: Extremely Low-Resource Speech Synthesis and Recognition, LUMOS: A library for diagnosing metric regressions for web-scale applications, M2GRL: A Multi-task Multi-view Graph Representation Learning Framework for Web-scale Recommender Systems, Map Generation from Large Scale Incomplete and Inaccurate Data Labels, Maximizing Cumulative User Engagement in Sequential Recommendation: An Online Optimization Perspective, Meta-Learning for Query Conceptualization at Web Scale, Mining Implicit Relevance Feedback from User Behavior for Web Question Answering, Molecular Inverse-Design Platform for Material Industries, Multi Modal Deep Learning Based Crop Classification Using Multispectral and Multitemporal Satellite Imagery, Multi-objective Optimization for Guaranteed Delivery in Video Service Platform, MultiSage: Empowering GCN with Contextualized Multi-Embeddings on Web-Scale Multipartite Networks, Multitask Mixture of Sequential Experts for User Activity Streams, Neural Input Search for Large Scale Recommendation Models, Octet: Online Catalog Taxonomy Enrichment with Self-Supervision, OptMatch: Optimized Matchmaking via Modeling the High-Order Interactions on the Arena, Order Fulfillment Cycle Time Estimation for On-Demand Food Delivery, Personalized Image Retrieval with Sparse Graph Representation Learning, Personalized Prefix Embedding for POI Auto-Completion in the Search Engine of Baidu Maps, Pest management in cotton farms: an AI-system case study from the global South, PinnerSage: Multi-Modal User Embedding Framework for Recommendations at Pinterest, Polestar: An Intelligent, Efficient and National-Wide Public Transportation Routing Engine, Predicting Individual Treatment Effects of Large-scale Team Competitions in a Ride-sharing Economy, Prediction of Hourly Earnings and Completion Time on a Crowdsourcing Platform, Price Investment using Prescriptive Analytics and Optimization in Retail, Privileged Features Distillation at Taobao Recommendations, Reconstruction and Decomposition of High-Dimensional Landscapes via Unsupervised Learning, Salience and Market-aware Skill Extraction for Job Targeting, Scaling Graph Neural Networks with Approximate PageRank, Shop The Look: Building a Large Scale Visual Shopping System at Pinterest, SimClusters: Community-Based Representations for Heterogeneous Recommendations at Twitter, Sub-Matrix Factorization for Real-Time Vote Prediction, Taming Pretrained Transformers for eXtreme Multi-label Text Classification, Temporal-Contextual Recommendation in Real-Time, TIES: Temporal Interaction Embeddings For Enhancing Social Media Integrity At Facebook, TIMME: Twitter Ideology-detection via Multi-task Multi-relational Embedding, To Tune or Not to Tune? November 10, 2020. admin. SIGKDD Curriculum. SAN DIEGO, Sept. 14, 2020 /PRNewswire/ -- KDD 2020, the premier interdisciplinary conference in data science, is pleased to announce the recipients of the … Thank you! Submission due date: August 12, 2020. KDD 2020 - Virtual. RS) firstly generates a list of recommendations (rec-list) according to user’s historical behaviors, which aims to optimize the long-term user experience or engagement. Permission to make digital or hard copies of part or all of this work for personal or Let P = {Pi,j}i,j∈S denote the transition probability API as of June 2020 corresponds to this model [26, 27]. 01/2020 One paper is accepted by WWW’20! Best Paper Award. KDD Cup Archives. Barman-Adhikari, and Amulya Yadav. In Proceedings of the 26th ACM SIGKDD Conference on Knowledge Discovery and Data Mining (KDD ’20), ∗Equal contribution to this work. KDD ’20, August 23–27, 2020, Virtual Event, CA, USA © 2020 Association for Computing Machinery. Thank you! Best Paper Award Download KDD-2020-Paper-Digests.pdf – … KDD 2020 Accepted Papers. Cheng-Te Li, and Meeyoung Cha. https://doi.org/10.1145/3394486.3406474 manyoftheconferenceattendees.Thetopicsofthisfull-daytutorial include (but are not limited to) the following: •Old-Fashioned Graph Learning [21] Make sure to record your computer screen with slides or demos, audio and yourself. TIPRDC: Task-Independent Privacy-Respecting Data Crowdsourcing Framework for Deep Learning with Anonymized Intermediate Representations The main challenge ACM ISBN 978-1-4503-7998-4/20/08. 17 minute read This post is part of a literature review on misinformation, especially in relation to technology and social media. Get the latest New Jersey news from Newark-based Star-Ledger, NJ's largest online newspaper. Continuing this tradition, KDD 2020 will showcase leading-edge research papers in data science, data mining, knowledge discovery, large-scale data analytics and big data. KDD 2020 Opens Call for Papers. Authors: Olivier Jeunen(intern), David Rohde, Flavian Vasile. 05/2020 One paper is accepted by KDD’20! Call for Papers. . You can record it using an external camera or a computer web-cam. For more information or any clarifications please email aiforsupplychain.kdd@gmail.com. (Presentation time: Tuesday August 25 1:30-3:30PM, Poster Time: Tuesday August 25 6:00-7:00PM), Temporal-Contextual Recommendation in Real-Time We invite submission of papers describing innovative research on all aspects of knowledge discovery and data mining, ranging from theoretical foundations to novel models and algorithms for data mining problems in science, business, medicine, and engineering. The KDD conferences feature keynote presentations, oral paper presentations, poster sessions, workshops, tutorials, panels, exhibits, demonstrations, and the KDD … Accepted Papers: Short Video Production Guide. Thank you Tencent! August 23 -27, 2020 Virtual Conference. KDD Proceedings Archives. Yifei Ma; Murali Balakrishnan Narayanaswamy, Haibin Lin and Hao Ding from Amazon. ACM ISBN 978-1-4503-7998-4/20/08...$15.00 https://doi.org/10.1145/3394486.3403089 1 INTRODUCTION In recent years, there has been increasing interest in RL, a machine learning paradigm that has achieved great success in addressing In Proceedings of the 26th ACM SIGKDD Conference on Knowledge Discovery and Data Mining (KDD ’20), August 23–27, 2020, Virtual Event, CA, USA. The length of your KDD2020 short video presentation should be between 2-3 minutes. If you have a question that requires immediate attention, please feel free to contact us. 04/2020 One paper is accepted by IJCAI’20! A Block Decomposition Algorithm for Sparse Optimization Authors: Ganzhao Yuan: Peng Cheng Laboratory; Li Shen: Tencent AI LAB; Weishi Zheng: Sun Yat-sen University We take a data-driven approach to model the existence of unre-ported cases in terms of probability of a case being reported. The Quantum Artificial Intelligence Laboratory (QuAIL) quantum data mining paper, “High Dimensional Similarity Search with Quantum-Assisted Variational Autoencoder”, led by QuAIL intern Nicholas Gao, will be published in the upcoming Knowledge Discovery and Data mining conference (KDD-2020… Winners were selected … On Sampled Metrics for Item Recommendation The annual KDD conference is the premier interdisciplinary conference bringing together researchers and practitioners from data science, data mining, knowledge discovery, large-scale data analytics, and big data. Test of Time Award. Get the latest New Jersey Local News, Sports News & US breaking News. Mengdi Huai: University of Virginia; Jianhui Sun: University of Virginia; Renqin Cai: University of Virginia; Liuyi Yao: University of New York at Buffalo; Aidong Zhang: University of Virginia The technical program committees for the Research Track and the Applied Data Science Track identified and nominated a very super-selective group of papers for the Best Paper Awards that were independently reviewed for the BP award by two separate committees led by Professor Michael Pazzani, UC San Diego (Research Track) and Professor Anima Anandkumar, California Institute of Technology (Applied Data Science Track). SAN DIEGO, Sept. 14, 2020 /PRNewswire/ -- KDD 2020, the premier interdisciplinary conference in data science, is pleased to announce the recipients of the SIGKDD Best Paper … Ang Li: Duke University; Yixiao Duan: Beihang University; Huanrui Yang: Duke University; Yiran Chen: Duke University; Jianlei Yang: Beihang University KDD + ASONAM 2019 Misinformation Papers Kellin Pelrine. The intention is to organize my thoughts and to provide the reader with condensed information beyond what can be found in the abstract. Accepted Papers: Short Video Production GuideSubmission due date: July 01, 2020. Paper Submission Deadline: June 1, 2020 June 8, 2020; Acceptance Notifications: June 15, 2020 June 23, 2020 KDD 2020, the premier interdisciplinary conference in data science (which took place virtually Aug. 23-27, 2020), announced the recipients of the SIGKDD Best Paper Awards, recognizing papers presented at the annual SIGKDD conference that advanced the fundamental understanding of the field of knowledge discovery in data and data mining. Every year they host an excellent and influential conference focusing on many areas of data science. Publications. We'll be updating the website as information becomes available. Applied Data Science Track Paper KDD '20, August 23 27, 2020, Virtual Event, USA 3319. level (i.e. (Published: Mon, August 24, 2020) The technical program committees for the Research Track and the Applied Data Science Track identified and nominated a very super-selective group of papers for the Best Paper Awards that were independently reviewed for the BP award by two separate committees led by Professor Michael Pazzani, UC San … 2.4 Markov Chain Basics We introduce the basics of a Markov chain for theoretical analysis of random walk-based estimators. Registration is … Research Track Papers. KDD Conference Archives. Winners were selected from more than 2,000 … Reliability: Disentangled Adversarial Examples for Cross-Modal Learning, WavingSketch: An Unbiased and Generic Sketch for Finding Top-k Items in Data Streams, WeightGrad: Geo-Distributed Data Analysis Using Quantization for Faster Convergence and Better Accuracy, xGAIL: Explainable Generative Adversarial Imitation Learning for Explainable Human Decision Analysis, XGNN: Towards Model-Level Explanations of Graph Neural Networks, Z-Miner: an efficient method for mining frequent arrangements of event intervals, A Dual Heterogeneous Graph Attention Network to Improve Long-Tail Performance for Shop Search in E-Commerce, A Request-level Guaranteed Delivery Advertising Planning: Forecasting and Allocation, A Self-Evolving Mutually-Operative Recurrent Network-based Model for Online Tool Condition Monitoring in Delay Scenario, A Sleeping, Recovering Bandit Algorithm for Optimizing Recurring Notifications, Acoustic Measures for Real-Time Voice Coaching, Ads Allocation in Feed via Constrained Optimization, An Automatic Approach for Generating Rich, Linked Geo-Metadata from Historical Map Images, An Empirical Analysis of Backward Compatibility in Machine Learning Systems, Attention based multi-modal new product sales time-series forecasting, Attribute-based Propensity for Unbiased Learning in Recommender Systems: Algorithm and Case Studies, AutoFIS: Automatic Feature Interaction Selection in Factorization Models for Click-Through Rate Prediction, AutoKnow: Self-Driving Knowledge Collection for Products of Thousands of Types, Automatic Validation of Textual Attribute Values in ECommerce Catalog by Learning with Limited Labeled Data, Balanced Order Batching with Task-Oriented Graph Clustering, Bandit based Optimization of Multiple Objectives on a Music Streaming Platform, Bootstrapping Complete The Look at Pinterest, Building Continuous Integration Services for Machine Learning, BusTr: predicting bus travel times from real-time traffic, Calendar Graph Neural Networks for Modeling Time Structures in Spatiotemporal User Behaviors, Cascade-LSTM: A Tree-Structured Neural Classifier for Detecting Misinformation Cascades, Category-Specific CNN for Visual-aware CTR Prediction at JD.com, Causal Meta-Mediation Analysis Inferring Dose-Response Function From Summary Statistics of Many Randomized Experiments, Cellular Network Radio Propagation Modeling with Deep Convolutional Neural Networks, Characterizing and Learning Representation on Customer Contact Journeys in Cellular Services, City Metro Network Expansion with Reinforcement Learning, Climate Downscaling Using YNet: a Deep Convolutional Network with Skip Connections and Fusion, Combo-Attention Network for Baidu Video Advertising, CompactETA: A Fast Inference System for Travel Time Prediction, Comprehensive Information Integration Modeling Framework for Video Titling, ConSTGAT: Contextual Spatial-Temporal Graph Attention Network for Travel Time Estimation at Baidu Maps, Contagious Chain Risk Rating for Networked-guarantee Loans, Context-Aware Attentive Knowledge Tracing, Controllable Multi-Interest Framework for Recommendation, Cracking Tabular Presentation Diversity for Automatic Cross-Checking over Numerical Facts, Cracking the Black Box: Distilling Deep Sports Analytics, CrowdQuake: A Networked System of Low-Cost Sensors for Earthquake Detection via Deep Learning, DATE: Dual Attentive Tree-aware Embedding for Customs Fraud Detection, Debiasing Grid-based Product Search in E-commerce, DeepTriage: Automated Transfer Assistance for Incidents in Cloud Services, Delivery Scope: A New Way of Restaurant Retrieval For On-demand Food Delivery Service, Doing in One Go: Delivered Time Inference Based on Coueriers' Trajectories, Domain Specific Knowledge Graphs as a Service to the Public, Dynamic Heterogeneous Graph Neural Network for Real-time Event Prediction, Easy Perturbation EEG Algorithm for Spectral Importance (easyPEASI): A simple method to identify important spectral features of EEG in deep learning models, Efficiently Solving the Practical Vehicle Routing Problem: A Novel Joint Learning Approach, Embedding-based Retrieval in Facebook Search, Explainable classification of brain networks via contrast subgraphs, Faster Secure Data Mining via Distributed Homomorphic Encryption, Federated Doubly Stochastic Kernel Learning for Vertically Partitioned Data, Fitbit for Chickens? Woodstock ’18, June 03–05, 2018, Woodstock, NY Trovato and Tobin, et al. Dissertation Award. Please enter the word you see in the image below: Applied Data Science Track Program Committee, Temporal-Contextual Recommendation in Real-Time. Announcing the KDD 2020 Best Paper Awards. Paper submission deadline: May 27 June 12, 2020, 23:59 pm Hawaii Time Acceptance notification: June 22 July 3, 2020 Talk video due: July 24, 2020 (instructions)Camera ready due: July 22 July 29, 2020 (instructions) Workshop: August 24, 2020 KDD 2020 Opens Call for Papers. We'll be updating the website as information becomes available. 455 Hoes Lane, Piscataway NJ 08854 | Phone: 732-562-2300 | Fax: 732-529-2500 KDD 2020 Call for Research Papers. An End-to-end System for Building Recognition from Streetside Images. Martin Bompaire; Abstract. The vibrancy, excitement and breadth of the field is reflected by the strong lineup of research papers, invited talks, tutorials and workshops at the conference.KDD received a record number 457 Research Track submissions this year. If you have a question that requires immediate attention, please feel free to contact us. Camera Ready Version of Papers Due - July 10, 2020 KDD Converse half day Workshop - August 24, 2020 We invite quality research contributions, position and opinion papers addressing relevant challenges in the domain of conversational systems. SIGKDD Explorations. KDD ’20, August 23–27, 2020, Virtual Event, CA, USA © 2020 Copyright held by the owner/author(s). June 10, 2020. Two papers co-authored by Criteo AI Lab researchers and their colleagues accepted at KDD 2020! The papers should be in PDF format and submitted via the EasyChair submission site. We are happy to announce that this year we are partnering with Bloomberg to emphasize our theme of Data Science for Social Good. 07/2020 One paper is accepted by CIKM’20! Research Track Papers Applied Data Science Track Papers. 08/2019 Transferred to UCF, starting a new journey! The workshop website will archive the published papers. 2020 Hongyang Gao, Zhengyang Wang, Lei Cai, and Shuiwang Ji ChannelNets: Compact and Efficient Convolutional Neural Networks via Channel-Wise Convolutions IEEE Transactions on Pattern Analysis and Machine … August 20, 2020. Publications I have published 10 papers as the first author (2 TPAMI, 1 NeurIPS, 1 ICML, 3 KDD, 1 WWW, 1 AAAI, and 1 ICDM) and co-authored another 4 papers (3 KDD and 1 SDM).
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