Abstract is missing.
- Data Science for Financial ApplicationsDavid J. Hand. 1 [doi]
- Market Design and Computerized MarketplacesAlvin E. Roth. 2 [doi]
- On Big Data Learning for Small Data ProblemsYee Whye Teh. 3 [doi]
- Data for Good: AbstractJeannette M. Wing. 4 [doi]
- ActiveRemediation: The Search for Lead Pipes in Flint, MichiganJacob D. Abernethy, Alex Chojnacki, Arya Farahi, Eric Schwartz, Jared Webb. 5-14 [doi]
- Deploying Machine Learning Models for Public Policy: A FrameworkKlaus Ackermann, Joe Walsh, Adolfo De Unánue, Hareem Naveed, Andrea Navarrete Rivera, Sun-Joo Lee, Jason Bennett, Michael Defoe, Crystal Cody, Lauren Haynes, Rayid Ghani. 15-22 [doi]
- Online Parameter Selection for Web-based Ranking ProblemsDeepak Agarwal, Kinjal Basu, Souvik Ghosh, Ying Xuan, Yang Yang, Liang Zhang. 23-32 [doi]
- Predicting Estimated Time of Arrival for Commercial FlightsSamet Ayhan, Pablo Costas, Hanan Samet. 33-42 [doi]
- Interpretable Representation Learning for Healthcare via Capturing Disease Progression through TimeTian Bai, Shanshan Zhang, Brian L. Egleston, Slobodan Vucetic. 43-51 [doi]
- Scalable Query N-Gram Embedding for Improving Matching and Relevance in Sponsored SearchXiao Bai 0002, Erik Ordentlich, Yuanyuan Zhang, Andy Feng, Adwait Ratnaparkhi, Reena Somvanshi, Aldi Tjahjadi. 52-61 [doi]
- Buy It Again: Modeling Repeat Purchase RecommendationsRahul Bhagat, Srevatsan Muralidharan, Alex Lobzhanidze, Shankar Vishwanath. 62-70 [doi]
- Rosetta: Large Scale System for Text Detection and Recognition in ImagesFedor Borisyuk, Albert Gordo, Viswanath Sivakumar. 71-79 [doi]
- Product Characterisation towards Personalisation: Learning Attributes from Unstructured Data to Recommend Fashion ProductsÂngelo Cardoso, Fabio Daolio, Saúl Vargas. 80-89 [doi]
- Rotation-blended CNNs on a New Open Dataset for Tropical Cyclone Image-to-intensity RegressionBoyo Chen, Buo-Fu Chen, Hsuan-Tien Lin. 90-99 [doi]
- Distributed Collaborative Hashing and Its Applications in Ant FinancialChaochao Chen, Ziqi Liu, Peilin Zhao, Longfei Li, Jun Zhou, Xiaolong Li. 100-109 [doi]
- MIX: Multi-Channel Information Crossing for Text MatchingHaolan Chen, Fred X. Han, Di Niu, Dong Liu, Kunfeng Lai, Chenglin Wu, Yu Xu. 110-119 [doi]
- How LinkedIn Economic Graph Bonds Information and Product: Applications in LinkedIn SalaryXi Chen, Yiqun Liu, Liang Zhang, Krishnaram Kenthapadi. 120-129 [doi]
- Scalable Optimization for Embedding Highly-Dynamic and Recency-Sensitive DataXumin Chen, Peng Cui 0001, Lingling Yi, Shiqiang Yang. 130-138 [doi]
- Q&R: A Two-Stage Approach toward Interactive RecommendationKonstantina Christakopoulou, Alex Beutel, Rui Li, Sagar Jain, Ed H. Chi. 139-148 [doi]
- Detection of Apathy in Alzheimer Patients by Analysing Visual Scanning Behaviour with RNNsJonathan Chung, Sarah A. Chau, Nathan Herrmann, Krista L. Lanctôt, Moshe Eizenman. 149-157 [doi]
- Assessing Candidate Preference through Web Browsing HistoryGiovanni Comarela, Ramakrishnan Durairajan, Paul Barford, Dino D. Christenson, Mark Crovella. 158-167 [doi]
- Pangloss: Fast Entity Linking in Noisy Text EnvironmentsMichael D. Conover, Matthew Hayes, Scott Blackburn, Pete Skomoroch, Sam Shah. 168-176 [doi]
- State Space Models for Forecasting Water Quality Variables: An Application in Aquaculture Prawn FarmingJoel Janek Dabrowski, Ashfaqur Rahman, Andrew George, Stuart Arnold, John McCulloch. 177-185 [doi]
- Automated Audience Segmentation Using Reputation SignalsMaria Daltayanni, Ali Dasdan, Luca de Alfaro. 186-195 [doi]
- SHIELD: Fast, Practical Defense and Vaccination for Deep Learning using JPEG CompressionNilaksh Das, Madhuri Shanbhogue, Shang-Tse Chen, Fred Hohman, Siwei Li, Li Chen, Michael E. Kounavis, Duen Horng Chau. 196-204 [doi]
- Adaptive Paywall Mechanism for Digital News MediaHeidar Davoudi, Aijun An, Morteza ZiHayat, Gordon Edall. 205-214 [doi]
- Tax Fraud Detection for Under-Reporting Declarations Using an Unsupervised Machine Learning ApproachDaniel de Roux, Boris Perez, Andrés Moreno, María-Del-Pilar Villamil, César Figueroa. 215-222 [doi]
- Automatic Discovery of Tactics in Spatio-Temporal Soccer Match DataTom Decroos, Jan Van Haaren, Jesse Davis. 223-232 [doi]
- Applying the Delta Method in Metric Analytics: A Practical Guide with Novel IdeasAlex Deng, Ulf Knoblich, Jiannan Lu. 233-242 [doi]
- Releasing eHealth Analytics into the Wild: Lessons Learnt from the SPHERE ProjectTom Diethe, Mike Holmes, Meelis Kull, Miquel Perelló-Nieto, Kacper Sokol, Hao Song, Emma Tonkin, Niall Twomey, Peter A. Flach. 243-252 [doi]
- Gotcha - Sly Malware!: Scorpion A Metagraph2vec Based Malware Detection SystemYujie Fan, Shifu Hou, Yiming Zhang, Yanfang Ye, Melih Abdulhayoglu. 253-262 [doi]
- Towards Knowledge Discovery from the Vatican Secret Archives. In Codice Ratio - Episode 1: Machine Transcription of the ManuscriptsDonatella Firmani, Marco Maiorino, Paolo Merialdo, Elena Nieddu. 263-272 [doi]
- Device Graphing by ExampleKeith Funkhouser, Matthew Malloy, Enis Ceyhun Alp, Phillip Poon, Paul Barford. 273-282 [doi]
- Near Real-time Optimization of Activity-based NotificationsYan Gao, Viral Gupta, Jinyun Yan, Changji Shi, Zhongen Tao, P. J. Xiao, Curtis Wang, Shipeng Yu, Rómer Rosales, Ajith Muralidharan, Shaunak Chatterjee. 283-292 [doi]
- Accelerating Large-Scale Data Analysis by Offloading to High-Performance Computing Libraries using AlchemistAlex Gittens, Kai Rothauge, Shusen Wang, Michael W. Mahoney, Lisa Gerhardt, Prabhat, Jey Kottalam, Michael F. Ringenburg, Kristyn J. Maschhoff. 293-301 [doi]
- Using Rule-Based Labels for Weak Supervised Learning: A ChemNet for Transferable Chemical Property PredictionGarrett B. Goh, Charles Siegel, Abhinav Vishnu, Nathan Oken Hodas. 302-310 [doi]
- Real-time Personalization using Embeddings for Search Ranking at AirbnbMihajlo Grbovic, Haibin Cheng. 311-320 [doi]
- Exploring Student Check-In Behavior for Improved Point-of-Interest PredictionMengyue Hang, Ian Pytlarz, Jennifer Neville. 321-330 [doi]
- Accelerating Prototype-Based Drug Discovery using Conditional Diversity NetworksShahar Harel, Kira Radinsky. 331-339 [doi]
- Detecting Vehicle Illegal Parking Events using Sharing Bikes' TrajectoriesTianfu He, Jie Bao 0003, Ruiyuan Li, Sijie Ruan, Yanhua Li, Chao Tian, Yu Zheng. 340-349 [doi]
- Multimodal Sentiment Analysis To Explore the Structure of EmotionsAnthony Hu, Seth R. Flaxman. 350-358 [doi]
- Web-Scale Responsive Visual Search at BingHoudong Hu, Yan Wang, Linjun Yang, Pavel Komlev, Li Huang, Xi (Stephen) Chen, Jiapei Huang, Ye Wu, Meenaz Merchant, Arun Sacheti. 359-367 [doi]
- Reinforcement Learning to Rank in E-Commerce Search Engine: Formalization, Analysis, and ApplicationYujing Hu, Qing Da, Anxiang Zeng, Yang Yu 0001, Yinghui Xu. 368-377 [doi]
- Towards Station-Level Demand Prediction for Effective Rebalancing in Bike-Sharing SystemsPierre Hulot, Daniel Aloise, Sanjay Dominik Jena. 378-386 [doi]
- Detecting Spacecraft Anomalies Using LSTMs and Nonparametric Dynamic ThresholdingKyle Hundman, Valentino Constantinou, Christopher Laporte, Ian Colwell, Tom Söderström. 387-395 [doi]
- WattHome: A Data-driven Approach for Energy Efficiency Analytics at City-scaleSrinivasan Iyengar, Stephen Lee, David E. Irwin, Prashant J. Shenoy, Benjamin Weil. 396-405 [doi]
- Explaining Aviation Safety Incidents Using Deep Temporal Multiple Instance LearningVijay Manikandan Janakiraman. 406-415 [doi]
- Optimal Allocation of Real-Time-Bidding and Direct CampaignsGrégoire Jauvion, Nicolas Grislain. 416-424 [doi]
- Optimization of a SSP's Header Bidding Strategy using Thompson SamplingGrégoire Jauvion, Nicolas Grislain, Pascal Dkengne Sielenou, Aurélien Garivier, Sébastien Gerchinovitz. 425-432 [doi]
- Resolving Abstract Anaphora Implicitly in Conversational Assistants using a Hierarchically stacked RNNPrerna Khurana, Puneet Agarwal, Gautam Shroff, Lovekesh Vig. 433-442 [doi]
- Autotune: A Derivative-free Optimization Framework for Hyperparameter TuningPatrick Koch, Oleg Golovidov, Steven Gardner, Brett Wujek, Joshua Griffin, Yan Xu. 443-452 [doi]
- Dynamic Recommendations for Sequential Hiring Decisions in Online Labor MarketsMarios Kokkodis. 453-461 [doi]
- PrePeP: A Tool for the Identification and Characterization of Pan Assay Interference CompoundsMaksim Koptelov, Albrecht Zimmermann, Pascal Bonnet, Ronan Bureau, Bruno Crémilleux. 462-471 [doi]
- Using Machine Learning to Assess the Risk of and Prevent Water Main BreaksAvishek Kumar, Syed Ali Asad Rizvi, Benjamin Brooks, R. Ali Vanderveld, Kevin H. Wilson, Chad Kenney, Sam Edelstein, Adria Finch, Andrew Maxwell, Joe Zuckerbraun, Rayid Ghani. 472-480 [doi]
- Collaborative Deep Metric Learning for Video UnderstandingJoonseok Lee, Sami Abu-El-Haija, Balakrishnan Varadarajan, Apostol Natsev. 481-490 [doi]
- Winner's Curse: Bias Estimation for Total Effects of Features in Online Controlled ExperimentsMinyong R. Lee, Milan Shen. 491-499 [doi]
- Rare Query Expansion Through Generative Adversarial Networks in Search AdvertisingMu-Chu Lee, Bin Gao, Ruofei Zhang. 500-508 [doi]
- TATC: Predicting Alzheimer's Disease with Actigraphy DataJia Li, Yu Rong, Helen Meng, Zhihui Lu 0003, Timothy Kwok, Hong Cheng. 509-518 [doi]
- E-tail Product Return Prediction via Hypergraph-based Local Graph CutJianbo Li, Jingrui He, Yada Zhu. 519-527 [doi]
- A Data-Driven Three-Layer Algorithm for Split Delivery Vehicle Routing Problem with 3D Container Loading ConstraintXijun Li, Mingxuan Yuan, Di Chen, Jianguo Yao, Jia Zeng. 528-536 [doi]
- Deep Sequence Learning with Auxiliary Information for Traffic PredictionBinbing Liao, Jingqing Zhang, Chao Wu, Douglas McIlwraith, Tong Chen, ShengWen Yang, Yike Guo, Fei Wu. 537-546 [doi]
- BigIN4: Instant, Interactive Insight Identification for Multi-Dimensional Big DataQingwei Lin, Weichen Ke, Jian-Guang Lou, Hongyu Zhang, Kaixin Sui, Yong Xu, Ziyi Zhou, Bo Qiao, Dongmei Zhang. 547-555 [doi]
- Lessons Learned from Developing and Deploying a Large-Scale Employer Name Normalization System for Online RecruitmentQiaoling Liu, Josh Chao, Thomas Mahoney, Alan Chern, Chris Min, Faizan Javed, Valentin Jijkoun. 556-565 [doi]
- Where Will Dockless Shared Bikes be Stacked?: - Parking Hotspots Detection in a New CityZhaoyang Liu, Yanyan Shen, Yanmin Zhu. 566-575 [doi]
- Next-Step Suggestions for Modern Interactive Data Analysis PlatformsTova Milo, Amit Somech. 576-585 [doi]
- COTA: Improving the Speed and Accuracy of Customer Support through Ranking and Deep NetworksPiero Molino, Huaixiu Zheng, Yi-Chia Wang. 586-595 [doi]
- Perceive Your Users in Depth: Learning Universal User Representations from Multiple E-commerce TasksYabo Ni, Dan Ou, Shichen Liu, Xiang Li, Wenwu Ou, Anxiang Zeng, Luo Si. 596-605 [doi]
- Fatigue Prediction in Outdoor Runners Via Machine Learning and Sensor FusionTim Op De Beéck, Wannes Meert, Kurt Schütte 0002, Benedicte Vanwanseele, Jesse Davis. 606-615 [doi]
- Infrastructure Quality Assessment in Africa using Satellite Imagery and Deep LearningBarak Oshri, Annie Hu, Peter Adelson, Xiao Chen, Pascaline Dupas, Jeremy Weinstein, Marshall Burke, David B. Lobell, Stefano Ermon. 616-625 [doi]
- An Extensible Event Extraction System With Cross-Media Event ResolutionFabio Petroni, Natraj Raman, Timothy Nugent, Armineh Nourbakhsh, Zarko Panic, Sameena Shah, Jochen L. Leidner. 626-635 [doi]
- Multi-Task Learning with Neural Networks for Voice Query Understanding on an Entertainment PlatformJinfeng Rao, Ferhan Türe, Jimmy Lin. 636-645 [doi]
- Du-Parking: Spatio-Temporal Big Data Tells You Realtime Parking AvailabilityYuecheng Rong, Zhimian Xu, Ruibo Yan, Xu Ma. 646-654 [doi]
- Improving Box Office Result Predictions for Movies Using Consumer-Centric ModelsRui Paulo Ruhrländer, Martin Boissier 0001, Matthias Uflacker. 655-664 [doi]
- A Scalable Solution for Rule-Based Part-of-Speech Tagging on Novel Hardware AcceleratorsElaheh Sadredini, Deyuan Guo, Chunkun Bo, Reza Rahimi, Kevin Skadron, Hongning Wang. 665-674 [doi]
- Career Transitions and Trajectories: A Case Study in ComputingTara Safavi, Maryam Davoodi, Danai Koutra. 675-684 [doi]
- Active Deep Learning to Tune Down the Noise in LabelsKaran Samel, Xu Miao. 685-694 [doi]
- Managing Computer-Assisted Detection System Based on Transfer Learning with Negative Transfer InhibitionIssei Sato, Yukihiro Nomura, Shouhei Hanaoka, Soichiro Miki, Naoto Hayashi, Osamu Abe, Yoshitaka Masutani. 695-704 [doi]
- Dynamic Pricing under Competition on Online Marketplaces: A Data-Driven ApproachRainer Schlosser, Martin Boissier 0001. 705-714 [doi]
- Detection of Paroxysmal Atrial Fibrillation using Attention-based Bidirectional Recurrent Neural NetworksSupreeth Prajwal Shashikumar, Amit J. Shah, Gari D. Clifford, Shamim Nemati. 715-723 [doi]
- StepDeep: A Novel Spatial-temporal Mobility Event Prediction Framework based on Deep Neural NetworkBilong Shen, Xiaodan Liang, Yufeng Ouyang, Miaofeng Liu, Weimin Zheng, Kathleen M. Carley. 724-733 [doi]
- Anatomy of a Privacy-Safe Large-Scale Information Extraction System Over EmailYing Sheng, Sandeep Tata, James Bradley Wendt, Jing Xie, Qi Zhao, Marc Najork. 734-743 [doi]
- Audience Size Forecasting: Fast and Smart Budget Planning for Media BuyersYeming Shi, Claudia Perlich, Rod Hook, Wickus Martin, Melinda Han Williams, Justin Moynihan, Patrick McCarthy, Peter Lenz, Reka Daniel-Weiner, Roger Cost. 744-753 [doi]
- PittGrub: A Frustration-Free System to Reduce Food Waste by Notifying Hungry College StudentsMark Silvis, Anthony Sicilia, Alexandros Labrinidis. 754-763 [doi]
- A Dynamic Pipeline for Spatio-Temporal Fire Risk PredictionBhavkaran Singh Walia, Qianyi Hu, Jeffrey Chen, Fangyan Chen, Jessica Lee, Nathan Kuo, Palak Narang, Jason Batts, Geoffrey Arnold, Michael Madaio. 764-773 [doi]
- Corpus Conversion Service: A Machine Learning Platform to Ingest Documents at ScalePeter W. J. Staar, Michele Dolfi, Christoph Auer, Costas Bekas. 774-782 [doi]
- Estimating Glaucomatous Visual Sensitivity from Retinal Thickness with Pattern-Based Regularization and VisualizationHiroki Sugiura, Taichi Kiwaki, Siamak Yousefi, Hiroshi Murata, Ryo Asaoka, Kenji Yamanishi. 783-792 [doi]
- Identify Susceptible Locations in Medical Records via Adversarial Attacks on Deep Predictive ModelsMengying Sun, Fengyi Tang, Jinfeng Yi, Fei Wang, Jiayu Zhou. 793-801 [doi]
- Learning Tasks for Multitask Learning: Heterogenous Patient Populations in the ICUHarini Suresh, Jen J. Gong, John V. Guttag. 802-810 [doi]
- NGUARD: A Game Bot Detection Framework for NetEase MMORPGsJianrong Tao, Jiarong Xu, Linxia Gong, Yifu Li, Changjie Fan, Zhou Zhao. 811-820 [doi]
- A Real-time Framework for Detecting Efficiency Regressions in a Globally Distributed CodebaseMartin Valdez-Vivas, Caner Gocmen, Andrii Korotkov, Ethan Fang, Kapil Goenka, Sherry Chen. 821-829 [doi]
- Inferring Metapopulation Propagation Network for Intra-city Epidemic Control and PreventionJingyuan Wang, Xiaojian Wang, Junjie Wu. 830-838 [doi]
- Billion-scale Commodity Embedding for E-commerce Recommendation in AlibabaJizhe Wang, Pipei Huang, Huan Zhao, Zhibo Zhang, Binqiang Zhao, Dik Lun Lee. 839-848 [doi]
- EANN: Event Adversarial Neural Networks for Multi-Modal Fake News DetectionYaqing Wang, Fenglong Ma, Zhiwei Jin, Ye Yuan, Guangxu Xun, Kishlay Jha, Lu Su, Jing Gao. 849-857 [doi]
- Learning to Estimate the Travel TimeZheng Wang, Kun Fu, Jieping Ye. 858-866 [doi]
- SDREGION: Fast Spotting of Changing Communities in Biological NetworksSerene W. H. Wong, Chiara Pastrello, Max Kotlyar, Christos Faloutsos, Igor Jurisica. 867-875 [doi]
- False Discovery Rate Controlled Heterogeneous Treatment Effect Detection for Online Controlled ExperimentsYuxiang Xie, Nanyu Chen, Xiaolin Shi. 876-885 [doi]
- Mobile Access Record Resolution on Large-Scale Identifier-Linkage GraphsXin Shen, Hongxia Yang, Weizhao Xian, Martin Ester, Jiajun Bu, Zhongyao Wang, Can Wang 0001. 886-894 [doi]
- SQR: Balancing Speed, Quality and Risk in Online ExperimentsYa Xu, Weitao Duan, Shaochen Huang. 895-904 [doi]
- Large-Scale Order Dispatch in On-Demand Ride-Hailing Platforms: A Learning and Planning ApproachZhe Xu, Zhixin Li, Qingwen Guan, Dingshui Zhang, Qiang Li, Junxiao Nan, Chunyang Liu, Wei Bian, Jieping Ye. 905-913 [doi]
- I Know You'll Be Back: Interpretable New User Clustering and Churn Prediction on a Mobile Social ApplicationCarl Yang, Xiaolin Shi, Luo Jie, Jiawei Han 0001. 914-922 [doi]
- Deep Learning for Practical Image Recognition: Case Study on Kaggle CompetitionsXuLei Yang, Zeng Zeng, Sin G. Teo, Li Wang, Vijay Chandrasekhar, Steven C. H. Hoi. 923-931 [doi]
- Customized Regression Model for Airbnb Dynamic PricingPeng Ye, Julian Qian, Jieying Chen, Chen-Hung Wu, Yitong Zhou, Spencer De Mars, Frank Yang, Li Zhang. 932-940 [doi]
- RapidScorer: Fast Tree Ensemble Evaluation by Maximizing Compactness in Data Level ParallelizationTing Ye, Hucheng Zhou, Will Y. Zou, Bin Gao, Ruofei Zhang. 941-950 [doi]
- Deep Distributed Fusion Network for Air Quality PredictionXiuwen Yi, Junbo Zhang, Zhaoyuan Wang, Tianrui Li, Yu Zheng. 965-973 [doi]
- Graph Convolutional Neural Networks for Web-Scale Recommender SystemsRex Ying, Ruining He, Kaifeng Chen, Pong Eksombatchai, William L. Hamilton, Jure Leskovec. 974-983 [doi]
- Hetero-ConvLSTM: A Deep Learning Approach to Traffic Accident Prediction on Heterogeneous Spatio-Temporal DataZhuoning Yuan, Xun Zhou, Tianbao Yang. 984-992 [doi]
- Visual Search at AlibabaYanhao Zhang, Pan Pan, Yun Zheng, Kang Zhao, Yingya Zhang, Xiaofeng Ren, Rong Jin. 993-1001 [doi]
- Name Disambiguation in AMiner: Clustering, Maintenance, and Human in the LoopYutao Zhang, Fanjin Zhang, Peiran Yao, Jie Tang 0001. 1002-1011 [doi]
- Notification Volume Control and Optimization System at PinterestBo Zhao, Koichiro Narita, Burkay Orten, John Egan. 1012-1020 [doi]
- Deep Reinforcement Learning for Sponsored Search Real-time BiddingJun Zhao 0009, Guang Qiu, Ziyu Guan, Wei Zhao 0019, Xiaofei He. 1021-1030 [doi]
- Learning and Transferring IDs Representation in E-commerceKui Zhao, Yuechuan Li, Zhaoqian Shuai, Cheng Yang. 1031-1039 [doi]
- Recommendations with Negative Feedback via Pairwise Deep Reinforcement LearningXiangyu Zhao, Liang Zhang, Zhuoye Ding, Long Xia, Jiliang Tang, Dawei Yin. 1040-1048 [doi]
- OpenTag: Open Attribute Value Extraction from Product ProfilesGuineng Zheng, Subhabrata Mukherjee, Xin Luna Dong, Feifei Li 0001. 1049-1058 [doi]
- Deep Interest Network for Click-Through Rate PredictionGuorui Zhou, Xiaoqiang Zhu, Chengru Song, Ying Fan, Han Zhu, Xiao Ma, Yanghui Yan, Junqi Jin, Han Li, Kun Gai. 1059-1068 [doi]
- Discovering Latent Patterns of Urban Cultural Interactions in WeChat for Modern City PlanningXiao Zhou, Anastasios Noulas, Cecilia Mascolo, Zhongxiang Zhao. 1069-1078 [doi]
- Learning Tree-based Deep Model for Recommender SystemsHan Zhu, Xiang Li, Pengye Zhang, Guozheng Li, Jie He, Han Li, Kun Gai. 1079-1088 [doi]
- Opinion Dynamics with Varying Susceptibility to PersuasionRediet Abebe, Jon M. Kleinberg, David C. Parkes, Charalampos E. Tsourakakis. 1089-1098 [doi]
- A Dual Markov Chain Topic Model for Dynamic EnvironmentsAyan Acharya, Joydeep Ghosh, Mingyuan Zhou. 1099-1108 [doi]
- Algorithms for Hiring and Outsourcing in the Online Labor MarketAris Anagnostopoulos, Carlos Castillo 0001, Adriano Fazzone, Stefano Leonardi, Evimaria Terzi. 1109-1118 [doi]
- Scalable k -Means Clustering via Lightweight CoresetsOlivier Bachem, Mario Lucic, Andreas Krause 0001. 1119-1127 [doi]
- Discovering Models from Structural and Behavioral Brain Imaging DataZilong Bai, Buyue Qian, Ian Davidson. 1128-1137 [doi]
- Optimal Distributed Submodular Optimization via SketchingMohammadHossein Bateni, Hossein Esfandiari, Vahab S. Mirrokni. 1138-1147 [doi]
- Sequences of SetsAustin R. Benson, Ravi Kumar 0001, Andrew Tomkins. 1148-1157 [doi]
- Deep Adversarial Learning for Multi-Modality Missing Data CompletionLei Cai, Zhengyang Wang, Hongyang Gao, Dinggang Shen, Shuiwang Ji. 1158-1166 [doi]
- Network Connectivity Optimization: Fundamental Limits and Effective AlgorithmsChen Chen 0022, Ruiyue Peng, Lei Ying, Hanghang Tong. 1167-1176 [doi]
- PME: Projected Metric Embedding on Heterogeneous Networks for Link PredictionHongxu Chen, Hongzhi Yin, Weiqing Wang, Hao Wang, Quoc Viet Hung Nguyen, Xue Li. 1177-1186 [doi]
- Stabilizing Reinforcement Learning in Dynamic Environment with Application to Online RecommendationShi-Yong Chen, Yang Yu 0001, Qing Da, Jun Tan, Hai-Kuan Huang, Hai-Hong Tang. 1187-1196 [doi]
- Quantifying and Minimizing Risk of Conflict in Social NetworksXi Chen, Jefrey Lijffijt, Tijl De Bie. 1197-1205 [doi]
- Spectral Clustering of Large-scale Data by Directly Solving Normalized CutXiaojun Chen, Weijun Hong, Feiping Nie, Dan He, Min Yang, Joshua Zhexue Huang. 1206-1215 [doi]
- Learning-to-Ask: Knowledge Acquisition via 20 QuestionsYihong Chen, Bei Chen, Xuguang Duan, Jian-Guang Lou, Yue Wang, Wenwu Zhu 0001, Yong Cao. 1216-1225 [doi]
- Voxel Deconvolutional Networks for 3D Brain Image LabelingYongjun Chen, Hongyang Gao, Lei Cai, Min Shi, Dinggang Shen, Shuiwang Ji. 1226-1234 [doi]
- Local Latent Space Models for Top-N RecommendationEvangelia Christakopoulou, George Karypis. 1235-1243 [doi]
- Exact and Consistent Interpretation for Piecewise Linear Neural Networks: A Closed Form SolutionLingyang Chu, Xia Hu, Juhua Hu, Lanjun Wang, Jian Pei. 1244-1253 [doi]
- Identifying Sources and Sinks in the Presence of Multiple Agents with Gaussian Process Vector CalculusAdam D. Cobb, Richard Everett, Andrew Markham, Stephen J. Roberts. 1254-1262 [doi]
- Approximating the Spectrum of a GraphDavid Cohen-Steiner, Weihao Kong, Christian Sohler, Gregory Valiant. 1263-1271 [doi]
- D2K: Scalable Community Detection in Massive Networks via Small-Diameter k-PlexesAlessio Conte, Tiziano De Matteis, Daniele De Sensi, Roberto Grossi, Andrea Marino, Luca Versari. 1272-1281 [doi]
- Node Similarity with q -Grams for Real-World Labeled NetworksAlessio Conte, Gaspare Ferraro, Roberto Grossi, Andrea Marino, Kunihiko Sadakane, Takeaki Uno. 1282-1291 [doi]
- An Empirical Evaluation of Sketching for Numerical Linear AlgebraYogesh Dahiya, Dimitris Konomis, David P. Woodruff. 1292-1300 [doi]
- Transfer Learning via Feature Isomorphism DiscoveryShimin Di, Jingshu Peng, Yanyan Shen, Lei Chen. 1301-1309 [doi]
- Investor-Imitator: A Framework for Trading Knowledge ExtractionYi Ding, Weiqing Liu, Jiang Bian, Daoqiang Zhang, Tie-Yan Liu. 1310-1319 [doi]
- Learning Structural Node Embeddings via Diffusion WaveletsClaire Donnat, Marinka Zitnik, David Hallac, Jure Leskovec. 1320-1329 [doi]
- Demand-Aware Charger Planning for Electric Vehicle SharingBowen Du, Yongxin Tong, Zimu Zhou, Qian Tao, Wenjun Zhou. 1330-1338 [doi]
- FASTEN: Fast Sylvester Equation Solver for Graph MiningBoxin Du, Hanghang Tong. 1339-1347 [doi]
- Multi-view Adversarially Learned Inference for Cross-domain Joint Distribution MatchingChangying Du, Changde Du, Xingyu Xie, Chen Zhang, Hao Wang. 1348-1357 [doi]
- Towards Explanation of DNN-based Prediction with Guided Feature InversionMengnan Du, Ninghao Liu, Qingquan Song, Xia Hu. 1358-1367 [doi]
- BagMinHash - Minwise Hashing Algorithm for Weighted SetsOtmar Ertl. 1368-1377 [doi]
- SpotLight: Detecting Anomalies in Streaming GraphsDhivya Eswaran, Christos Faloutsos, Sudipto Guha, Nina Mishra. 1378-1386 [doi]
- Deep Multi-Output Forecasting: Learning to Accurately Predict Blood Glucose TrajectoriesIan Fox, Lynn Ang, Mamta Jaiswal, Rodica Pop-Busui, Jenna Wiens. 1387-1395 [doi]
- Scalable Active Learning by Approximated Error ReductionWeijie Fu, Meng Wang, Shijie Hao, Xindong Wu. 1396-1405 [doi]
- Self-Paced Network EmbeddingHongchang Gao, Heng Huang. 1406-1415 [doi]
- Large-Scale Learnable Graph Convolutional NetworksHongyang Gao, Zhengyang Wang, Shuiwang Ji. 1416-1424 [doi]
- Route Recommendations for Idle Taxi Drivers: Find Me the Shortest Route to a Customer!Nandani Garg, Sayan Ranu. 1425-1434 [doi]
- Semi-Supervised Generative Adversarial Network for Gene Expression InferenceKamran Ghasedi Dizaji, Xiaoqian Wang, Heng Huang. 1435-1444 [doi]
- Training Big Random Forests with Little ResourcesFabian Gieseke, Christian Igel. 1445-1454 [doi]
- When Sentiment Analysis Meets Social Network: A Holistic User Behavior Modeling in Opinionated DataLin Gong, Hongning Wang. 1455-1464 [doi]
- LARC: Learning Activity-Regularized Overlapping Communities Across TimeAlexander Gorovits, Ekta Gujral, Evangelos E. Papalexakis, Petko Bogdanov. 1465-1474 [doi]
- New Incremental Learning Algorithm for Semi-Supervised Support Vector MachineBin Gu, Xiao-Tong Yuan, Songcan Chen, Heng Huang. 1475-1484 [doi]
- R 2 SDH: Robust Rotated Supervised Discrete HashingJie Gui, Ping Li 0001. 1485-1493 [doi]
- Multi-label Learning with Highly Incomplete Data via Collaborative EmbeddingYufei Han, Guolei Sun, Yun Shen, Xiangliang Zhang. 1494-1503 [doi]
- PCA by Determinant Optimisation has no Spurious Local OptimaRaphael A. Hauser, Armin Eftekhari, Heinrich F. Matzinger. 1504-1511 [doi]
- Automated Local Regression Discontinuity Design DiscoveryWilliam Herlands, Edward McFowland III, Andrew Gordon Wilson, Daniel B. Neill. 1512-1520 [doi]
- Disturbance Grassmann Kernels for Subspace-Based LearningJunyuan Hong, Huanhuan Chen, Feng Lin. 1521-1530 [doi]
- Leveraging Meta-path based Context for Top- N Recommendation with A Neural Co-Attention ModelBinbin Hu, Chuan Shi, Wayne Xin Zhao, Philip S. Yu. 1531-1540 [doi]
- Metric Learning from Probabilistic LabelsMengdi Huai, Chenglin Miao, Yaliang Li, Qiuling Suo, Lu Su, Aidong Zhang. 1541-1550 [doi]
- Generalized Score Functions for Causal DiscoveryBiwei Huang, Kun Zhang 0001, Yizhu Lin, Bernhard Schölkopf, Clark Glymour. 1551-1560 [doi]
- Accurate and Fast Asymmetric Locality-Sensitive Hashing Scheme for Maximum Inner Product SearchQiang Huang, Guihong Ma, Jianlin Feng, Qiong Fang, Anthony K. H. Tung. 1561-1570 [doi]
- Active Feature Acquisition with Supervised Matrix CompletionSheng-Jun Huang, Miao Xu, Ming-Kun Xie, Masashi Sugiyama, Gang Niu, Songcan Chen. 1571-1579 [doi]
- Cost-Effective Training of Deep CNNs with Active Model AdaptationSheng-Jun Huang, Jia-Wei Zhao, Zhao-yang Liu. 1580-1588 [doi]
- Variable Selection and Task Grouping for Multi-Task LearningJun-Yong Jeong, Chi-Hyuck Jun. 1589-1598 [doi]
- Concepts-Bridges: Uncovering Conceptual Bridges Based on Biomedical Concept EvolutionKishlay Jha, Guangxu Xun, Yaqing Wang, Vishrawas Gopalakrishnan, Aidong Zhang. 1599-1607 [doi]
- A Treatment Engine by Predicting Next-Period PrescriptionsBo Jin 0001, Haoyu Yang, Leilei Sun, Chuanren Liu, Yue Qu, Jianing Tong. 1608-1616 [doi]
- Stable Prediction across Unknown EnvironmentsKun Kuang, Peng Cui 0001, Susan Athey, Ruoxuan Xiong, Bo Li. 1617-1626 [doi]
- Learning Dynamics of Decision Boundaries without Additional Labeled DataAtsutoshi Kumagai, Tomoharu Iwata. 1627-1636 [doi]
- Dual Memory Neural Computer for Asynchronous Two-view Sequential LearningHung Le, Truyen Tran 0001, Svetha Venkatesh. 1637-1645 [doi]
- A Distributed Quasi-Newton Algorithm for Empirical Risk Minimization with Nonsmooth RegularizationChing-Pei Lee, Cong Han Lim, Stephen J. Wright. 1646-1655 [doi]
- Concentrated Differentially Private Gradient Descent with Adaptive per-Iteration Privacy BudgetJaewoo Lee, Daniel Kifer. 1656-1665 [doi]
- Graph Classification using Structural AttentionJohn Boaz Lee, Ryan A. Rossi, Xiangnan Kong. 1666-1674 [doi]
- TruePIE: Discovering Reliable Patterns in Pattern-Based Information ExtractionQi Li 0012, Meng Jiang 0001, Xikun Zhang, Meng Qu, Timothy P. Hanratty, Jing Gao, Jiawei Han 0001. 1675-1684 [doi]
- Offline Evaluation of Ranking Policies with Click ModelsShuai Li, Yasin Abbasi-Yadkori, Branislav Kveton, S. Muthukrishnan, Vishwa Vinay, Zheng Wen. 1685-1694 [doi]
- Multi-task Representation Learning for Travel Time EstimationYaguang Li, Kun Fu, Zheng Wang, Cyrus Shahabi, Jieping Ye, Yan Liu. 1695-1704 [doi]
- An Efficient Two-Layer Mechanism for Privacy-Preserving Truth DiscoveryYaliang Li, Chenglin Miao, Lu Su, Jing Gao, Qi Li 0012, Bolin Ding, Zhan Qin, Kui Ren 0001. 1705-1714 [doi]
- Learning Adversarial Networks for Semi-Supervised Text Classification via Policy GradientYan Li, Jieping Ye. 1715-1723 [doi]
- Dynamic Bike Reposition: A Spatio-Temporal Reinforcement Learning ApproachYexin Li, Yu Zheng, Qiang Yang. 1724-1733 [doi]
- Learning from History and Present: Next-item Recommendation via Discriminatively Exploiting User BehaviorsZhi Li, Hongke Zhao, Qi Liu 0003, Zhenya Huang, Tao Mei, Enhong Chen. 1734-1743 [doi]
- High-order Proximity Preserving Information Network HashingDefu Lian, Kai Zheng 0001, Vincent W. Zheng, Yong Ge, Longbing Cao, Ivor W. Tsang, Xing Xie 0001. 1744-1753 [doi]
- xDeepFM: Combining Explicit and Implicit Feature Interactions for Recommender SystemsJianxun Lian, Xiaohuan Zhou, Fuzheng Zhang, Zhongxia Chen, Xing Xie, Guangzhong Sun. 1754-1763 [doi]
- Dynamic Embeddings for User Profiling in TwitterShangsong Liang, Xiangliang Zhang, Zhaochun Ren, Evangelos Kanoulas. 1764-1773 [doi]
- Efficient Large-Scale Fleet Management via Multi-Agent Deep Reinforcement LearningKaixiang Lin, Renyu Zhao, Zhe Xu, Jiayu Zhou. 1774-1783 [doi]
- Enhancing Predictive Modeling of Nested Spatial Data through Group-Level Feature DisaggregationBoyang Liu, Pang-Ning Tan, Jiayu Zhou. 1784-1793 [doi]
- Content to Node: Self-Translation Network EmbeddingJie Liu, Zhicheng He, Lai Wei, Yalou Huang. 1794-1802 [doi]
- Adversarial Detection with Model InterpretationNinghao Liu, Hongxia Yang, Xia Hu. 1803-1811 [doi]
- On Interpretation of Network Embedding via Taxonomy InductionNinghao Liu, Xiao Huang, Jundong Li, Xia Hu. 1812-1820 [doi]
- Finding Similar Exercises in Online Education SystemsQi Liu 0003, Zai Huang, Zhenya Huang, Chuanren Liu, Enhong Chen, Yu Su 0002, Guoping Hu. 1821-1830 [doi]
- STAMP: Short-Term Attention/Memory Priority Model for Session-based RecommendationQiao Liu, Yifu Zeng, Refuoe Mokhosi, Haibin Zhang. 1831-1839 [doi]
- Active Opinion Maximization in Social NetworksXinyue Liu, Xiangnan Kong, Philip S. Yu. 1840-1849 [doi]
- Efficient Similar Region Search with Deep Metric LearningYiding Liu, Kaiqi Zhao, Gao Cong. 1850-1859 [doi]
- Interactive Paths Embedding for Semantic Proximity Search on Heterogeneous GraphsZemin Liu, Vincent W. Zheng, Zhou Zhao, Zhao Li, Hongxia Yang, Minghui Wu, Jing Ying. 1860-1869 [doi]
- Context-aware Academic Collaborator RecommendationZheng Liu, Xing Xie, Lei Chen. 1870-1879 [doi]
- R-VQA: Learning Visual Relation Facts with Semantic Attention for Visual Question AnsweringPan Lu, Lei Ji, Wei Zhang 0056, Nan Duan, Ming Zhou, Jianyong Wang. 1880-1889 [doi]
- TINET: Learning Invariant Networks via Knowledge TransferChen Luo, Zhengzhang Chen, Lu-An Tang, Anshumali Shrivastava, Zhichun Li, Haifeng Chen, Jieping Ye. 1890-1899 [doi]
- Sketched Follow-The-Regularized-Leader for Online Factorization MachineLuo Luo, Wenpeng Zhang 0003, Zhihua Zhang, Wenwu Zhu 0001, Tong Zhang, Jian Pei. 1900-1909 [doi]
- Risk Prediction on Electronic Health Records with Prior Medical KnowledgeFenglong Ma, Jing Gao, Qiuling Suo, Quanzeng You, Jing Zhou, Aidong Zhang. 1910-1919 [doi]
- Hierarchical Taxonomy Aware Network EmbeddingJianxin Ma, Peng Cui 0001, Xiao Wang, Wenwu Zhu 0001. 1920-1929 [doi]
- Modeling Task Relationships in Multi-task Learning with Multi-gate Mixture-of-ExpertsJiaqi Ma, Zhe Zhao, Xinyang Yi, Jilin Chen, Lichan Hong, Ed H. Chi. 1930-1939 [doi]
- Extremely Fast Decision TreeChaitanya Manapragada, Geoffrey I. Webb, Mahsa Salehi. 1953-1962 [doi]
- Extremely Fast Decision TreeEmaad A. Manzoor, Hemank Lamba, Leman Akoglu. 1963-1972 [doi]
- Discovering Non-Redundant K-means Clusterings in Optimal SubspacesDominik Mautz, Wei Ye, Claudia Plant, Christian Böhm. 1973-1982 [doi]
- Classifying and Counting with Recurrent ContextsDenis Moreira dos Reis, André Gustavo Maletzke, Diego Furtado Silva, Gustavo E. A. P. A. Batista. 1983-1992 [doi]
- DILOF: Effective and Memory Efficient Local Outlier Detection in Data StreamsGyoung S. Na, Dong-hyun Kim, Hwanjo Yu. 1993-2002 [doi]
- Robust Bayesian Kernel Machine via Stein Variational Gradient Descent for Big DataKhanh Nguyen, Trung Le, Tu Dinh Nguyen, Dinh Q. Phung, Geoffrey I. Webb. 2003-2011 [doi]
- Calibrated Multi-Task LearningFeiping Nie, Zhanxuan Hu, Xuelong Li. 2012-2021 [doi]
- Multiview Clustering via Adaptively Weighted ProcrustesFeiping Nie, Lai Tian, Xuelong Li. 2022-2030 [doi]
- Unlocking the Value of Privacy: Trading Aggregate Statistics over Private Correlated DataChaoyue Niu, Zhenzhe Zheng, Fan Wu 0006, ShaoJie Tang, Xiaofeng Gao, Guihai Chen. 2031-2040 [doi]
- Learning Representations of Ultrahigh-dimensional Data for Random Distance-based Outlier DetectionGuansong Pang, Longbing Cao, Ling Chen, Huan Liu. 2041-2050 [doi]
- EvoGraph: An Effective and Efficient Graph Upscaling Method for Preserving Graph PropertiesHimchan Park, Min-Soo Kim 0002. 2051-2059 [doi]
- Explanation Mining: Post Hoc Interpretability of Latent Factor Models for Recommendation SystemsGeorgina Peake, Jun Wang. 2060-2069 [doi]
- Efficient Mining of the Most Significant Patterns with Permutation TestingLeonardo Pellegrina, Fabio Vandin. 2070-2079 [doi]
- SUSTain: Scalable Unsupervised Scoring for Tensors and its Application to PhenotypingIoakeim Perros, Evangelos E. Papalexakis, Haesun Park, Richard W. Vuduc, Xiaowei Yan, Christopher deFilippi, Walter F. Stewart, Jimeng Sun. 2080-2089 [doi]
- Optimizing Cluster-based Randomized Experiments under MonotonicityJean Pouget-Abadie, Vahab S. Mirrokni, David C. Parkes, Edoardo M. Airoldi. 2090-2099 [doi]
- FAHES: A Robust Disguised Missing Values DetectorAbdulhakim Ali Qahtan, Ahmed K. Elmagarmid, Raul Castro Fernandez, Mourad Ouzzani, Nan Tang 0001. 2100-2109 [doi]
- DeepInf: Social Influence Prediction with Deep LearningJiezhong Qiu, Jian Tang, Hao Ma, Yuxiao Dong, Kuansan Wang, Jie Tang 0001. 2110-2119 [doi]
- Active Search of Connections for Case Building and Combating Human TraffickingReihaneh Rabbany, David Bayani, Artur Dubrawski. 2120-2129 [doi]
- MiSoSouP: Mining Interesting Subgroups with Sampling and PseudodimensionMatteo Riondato, Fabio Vandin. 2130-2139 [doi]
- Parsing to Programs: A Framework for Situated QAMrinmaya Sachan, Eric P. Xing. 2140-2149 [doi]
- Butterfly Counting in Bipartite NetworksSeyed-Vahid Sanei-Mehri, Ahmet Erdem Sariyüce, Srikanta Tirthapura. 2150-2159 [doi]
- Accelerated Equivalence Structure Extraction via Pairwise Incremental SearchSeiya Satoh, Yoshinobu Takahashi, Hiroshi Yamakawa. 2160-2169 [doi]
- Recurrent Binary Embedding for GPU-Enabled Exhaustive Retrieval from Billion-Scale Semantic VectorsYing Shan, Jian Jiao, Jie Zhu, J. C. Mao. 2170-2179 [doi]
- HiExpan: Task-Guided Taxonomy Construction by Hierarchical Tree ExpansionJiaming Shen, Zeqiu Wu, Dongming Lei, Chao Zhang, Xiang Ren, Michelle T. Vanni, Brian M. Sadler, Jiawei Han 0001. 2180-2189 [doi]
- Easing Embedding Learning by Comprehensive Transcription of Heterogeneous Information NetworksYu Shi, Qi Zhu, Fang Guo, Chao Zhang, Jiawei Han 0001. 2190-2199 [doi]
- Feedback-Guided Anomaly Discovery via Online OptimizationMd Amran Siddiqui, Alan Fern, Thomas G. Dietterich, Ryan Wright, Alec Theriault, David W. Archer. 2200-2209 [doi]
- Are your data gathered?Alban Siffer, Pierre-Alain Fouque, Alexandre Termier, Christine Largouët. 2210-2218 [doi]
- Fairness of Exposure in RankingsAshudeep Singh, Thorsten Joachims. 2219-2228 [doi]
- Deep r -th Root of Rank Supervised Joint Binary Embedding for Multivariate Time Series RetrievalDongjin Song, Ning Xia, Wei Cheng, Haifeng Chen, Dacheng Tao. 2229-2238 [doi]
- A Unified Approach to Quantifying Algorithmic Unfairness: Measuring Individual &Group Unfairness via Inequality IndicesTill Speicher, Hoda Heidari, Nina Grgic-Hlaca, Krishna P. Gummadi, Adish Singla, Adrian Weller, Muhammad Bilal Zafar. 2239-2248 [doi]
- Multi-Round Influence MaximizationLichao Sun, Weiran Huang, Philip S. Yu, Wei Chen. 2249-2258 [doi]
- Subspace Network: Deep Multi-Task Censored Regression for Modeling Neurodegenerative DiseasesMengying Sun, Inci M. Baytas, Liang Zhan, Zhangyang Wang, Jiayu Zhou. 2259-2268 [doi]
- Exploring the Urban Region-of-Interest through the Analysis of Online Map Search QueriesYing Sun, Hengshu Zhu, Fuzhen Zhuang, Jingjing Gu, Qing He. 2269-2278 [doi]
- Data Diff: Interpretable, Executable Summaries of Changes in Distributions for Data WranglingCharles A. Sutton, Timothy Hobson, James Geddes, Rich Caruana. 2279-2288 [doi]
- Ranking Distillation: Learning Compact Ranking Models With High Performance for Recommender SystemJiaxi Tang, Ke Wang. 2289-2298 [doi]
- Multi-Cast Attention NetworksYi Tay, Luu Anh Tuan, Siu Cheung Hui. 2299-2308 [doi]
- Multi-Pointer Co-Attention Networks for RecommendationYi Tay, Anh Tuan Luu, Siu Cheung Hui. 2309-2318 [doi]
- Count-Min: Optimal Estimation and Tight Error Bounds using Empirical Error DistributionsDaniel Ting. 2319-2328 [doi]
- Isolation Kernel and Its Effect on SVMKai Ming Ting, Yue Zhu, Zhi-Hua Zhou. 2329-2337 [doi]
- Latent Variable Time-varying Network InferenceFederico Tomasi, Veronica Tozzo, Saverio Salzo, Alessandro Verri. 2338-2346 [doi]
- NetLSD: Hearing the Shape of a GraphAnton Tsitsulin, Davide Mottin, Panagiotis Karras, Alexander M. Bronstein, Emmanuel Müller. 2347-2356 [doi]
- Deep Recursive Network Embedding with Regular EquivalenceKe Tu, Peng Cui 0001, Xiao Wang, Philip S. Yu, Wenwu Zhu 0001. 2357-2366 [doi]
- Hyperparameter Importance Across DatasetsJan N. van Rijn, Frank Hutter. 2367-2376 [doi]
- Quantifying Uncertainty in Discrete-Continuous and Skewed Data with Bayesian Deep LearningThomas Vandal, Evan Kodra, Jennifer G. Dy, Sangram Ganguly, Ramakrishna R. Nemani, Auroop R. Ganguly. 2377-2386 [doi]
- Efficient Attribute Recommendation with Probabilistic GuaranteeChi Wang 0001, Kaushik Chakrabarti. 2387-2396 [doi]
- Multi-Type Itemset Embedding for Learning Behavior SuccessDaheng Wang, Meng Jiang, Qingkai Zeng, Zachary Eberhart, Nitesh V. Chawla. 2397-2406 [doi]
- Not Just Privacy: Improving Performance of Private Deep Learning in Mobile CloudJi Wang, Jianguo Zhang, Weidong Bao, Xiaomin Zhu, Bokai Cao, Philip S. Yu. 2407-2416 [doi]
- Learning Credible ModelsJiaxuan Wang, Jeeheh Oh, Haozhu Wang, Jenna Wiens. 2417-2426 [doi]
- Towards Mitigating the Class-Imbalance Problem for Partial Label LearningJing Wang, Min-Ling Zhang. 2427-2436 [doi]
- Multilevel Wavelet Decomposition Network for Interpretable Time Series AnalysisJingyuan Wang, Ze Wang, Jianfeng Li, Junjie Wu. 2437-2446 [doi]
- Supervised Reinforcement Learning with Recurrent Neural Network for Dynamic Treatment RecommendationLu Wang, Wei Zhang 0056, Xiaofeng He, Hongyuan Zha. 2447-2456 [doi]
- You Are How You Drive: Peer and Temporal-Aware Representation Learning for Driving Behavior AnalysisPengyang Wang, Yanjie Fu, Jiawei Zhang, Pengfei Wang, Yu Zheng, Charu C. Aggarwal. 2457-2466 [doi]
- Neural Memory Streaming Recommender Networks with Adversarial TrainingQinyong Wang, Hongzhi Yin, Zhiting Hu, Defu Lian, Hao Wang, Zi Huang. 2467-2475 [doi]
- Towards Evolutionary CompressionYunhe Wang, Chang Xu, Jiayan Qiu, Chao Xu 0006, Dacheng Tao. 2476-2485 [doi]
- Smoothed Dilated Convolutions for Improved Dense PredictionZhengyang Wang, Shuiwang Ji. 2486-2495 [doi]
- IntelliLight: A Reinforcement Learning Approach for Intelligent Traffic Light ControlHua Wei, Guanjie Zheng, Huaxiu Yao, Zhenhui Li. 2496-2505 [doi]
- Scalable Spectral Clustering Using Random Binning FeaturesLingfei Wu, Pin-Yu Chen, Ian En-Hsu Yen, Fangli Xu, Yinglong Xia, Charu Aggarwal. 2506-2515 [doi]
- Decoupled Learning for Factorial Marked Temporal Point ProcessesWeichang Wu, Junchi Yan, Xiaokang Yang, Hongyuan Zha. 2516-2525 [doi]
- Deep Censored Learning of the Winning Price in the Real Time BiddingWush Chi-Hsuan Wu, Mi-Yen Yeh, Ming-Syan Chen. 2526-2535 [doi]
- On Discrimination Discovery and Removal in Ranked Data using Causal GraphYongkai Wu, Lu Zhang, Xintao Wu. 2536-2544 [doi]
- Geographical Hidden Markov Tree for Flood Extent MappingMiao Xie, Zhe Jiang 0001, Arpan Man Sainju. 2545-2554 [doi]
- New Robust Metric Learning Model Using Maximum Correntropy CriterionJie Xu, Lei Luo, Cheng Deng, Heng Huang. 2555-2564 [doi]
- RAIM: Recurrent Attentive and Intensive Model of Multimodal Patient Monitoring DataYanbo Xu, Siddharth Biswal, Shriprasad R. Deshpande, Kevin O. Maher, Jimeng Sun. 2565-2573 [doi]
- Coupled Context Modeling for Deep Chit-Chat: Towards Conversations between Human and ComputerRui Yan, Dongyan Zhao. 2574-2583 [doi]
- HeavyGuardian: Separate and Guard Hot Items in Data StreamsTong Yang 0003, Junzhi Gong, Haowei Zhang, Lei Zou, Lei Shi, Xiaoming Li. 2584-2593 [doi]
- Complex Object Classification: A Multi-Modal Multi-Instance Multi-Label Deep Network with Optimal TransportYang Yang, Yi-Feng Wu, De-Chuan Zhan, Zhi-bin Liu, Yuan Jiang 0001. 2594-2603 [doi]
- Can Who-Edits-What Predict Edit Survival?Ali Batuhan Yardim, Victor Kristof, Lucas Maystre, Matthias Grossglauser. 2604-2613 [doi]
- An Iterative Global Structure-Assisted Labeled Network AlignerAbdurrahman Yasar, Ümit V. Çatalyürek. 2614-2623 [doi]
- Multi-User Mobile Sequential Recommendation: An Efficient Parallel Computing ParadigmZeyang Ye, Lihao Zhang, Keli Xiao, Wenjun Zhou, Yong Ge, Yuefan Deng. 2624-2633 [doi]
- Model-based Clustering of Short Text StreamsJianhua Yin, Daren Chao, ZHongkun Liu, Wei Zhang 0056, Xiaohui Yu, Jianyong Wang. 2634-2642 [doi]
- Transcribing Content from Structural Images with Spotlight MechanismYu Yin, Zhenya Huang, Enhong Chen, Qi Liu 0003, Fuzheng Zhang, Xing Xie, Guoping Hu. 2643-2652 [doi]
- Safe Triplet Screening for Distance Metric LearningTomoki Yoshida, Ichiro Takeuchi, Masayuki Karasuyama. 2653-2662 [doi]
- Learning Deep Network Representations with Adversarially Regularized AutoencodersWenchao Yu, Cheng Zheng, Wei Cheng, Charu C. Aggarwal, Dongjin Song, Bo Zong, Haifeng Chen, Wei Wang. 2663-2671 [doi]
- NetWalk: A Flexible Deep Embedding Approach for Anomaly Detection in Dynamic NetworksWenchao Yu, Wei Cheng, Charu C. Aggarwal, Kai Zhang, Haifeng Chen, Wei Wang. 2672-2681 [doi]
- Learning and Interpreting Complex Distributions in Empirical DataChengxi Zang, Peng Cui 0001, Wenwu Zhu 0001. 2682-2691 [doi]
- Simultaneous Urban Region Function Discovery and Popularity Estimation via an Infinite Urbanization Process ModelBang Zhang, Lelin Zhang, Ting Guo, Yang Wang, Fang Chen. 2692-2700 [doi]
- TaxoGen: Unsupervised Topic Taxonomy Construction by Adaptive Term Embedding and ClusteringChao Zhang, Fangbo Tao, Xiusi Chen, Jiaming Shen, Meng Jiang 0001, Brian M. Sadler, Michelle Vanni, Jiawei Han 0001. 2701-2709 [doi]
- StockAssIstant: A Stock AI Assistant for Reliability Modeling of Stock CommentsChen Zhang, Yijun Wang, Can Chen, Changying Du, Hongzhi Yin, Hao Wang. 2710-2719 [doi]
- On the Generative Discovery of Structured Medical KnowledgeChenwei Zhang, Yaliang Li, Nan Du, Wei Fan 0001, Philip S. Yu. 2720-2728 [doi]
- TextTruth: An Unsupervised Approach to Discover Trustworthy Information from Multi-Sourced Text DataHengtong Zhang, Yaliang Li, Fenglong Ma, Jing Gao, Lu Su. 2729-2737 [doi]
- Multi-Label Inference for CrowdsourcingJing Zhang, Xindong Wu. 2738-2747 [doi]
- Trajectory-driven Influential Billboard PlacementPing Zhang, Zhifeng Bao, Yuchen Li, Guoliang Li 0001, Yipeng Zhang, Zhiyong Peng. 2748-2757 [doi]
- Discrete Ranking-based Matrix Factorization with Self-Paced LearningYan Zhang, Haoyu Wang, Defu Lian, Ivor W. Tsang, Hongzhi Yin, Guowu Yang. 2758-2767 [doi]
- Online Adaptive Asymmetric Active Learning for Budgeted Imbalanced DataYifan Zhang, Peilin Zhao, Jiezhang Cao, Wenye Ma, JunZhou Huang, Qingyao Wu, Mingkui Tan. 2768-2777 [doi]
- Arbitrary-Order Proximity Preserved Network EmbeddingZiwei Zhang, Peng Cui 0001, Xiao Wang, Jian Pei, Xuanrong Yao, Wenwu Zhu 0001. 2778-2786 [doi]
- Prediction-time Efficient Classification Using Feature Computational DependenciesLiang Zhao, Amir Alipour Fanid, Martin Slawski, Kai Zeng 0001. 2787-2796 [doi]
- REST: A Reference-based Framework for Spatio-temporal Trajectory CompressionYan Zhao, Shuo Shang, Yu Wang, Bolong Zheng, Quoc Viet Hung Nguyen, Kai Zheng 0001. 2797-2806 [doi]
- SPARC: Self-Paced Network Representation for Few-Shot Rare Category CharacterizationDawei Zhou, Jingrui He, Hongxia Yang, Wei Fan. 2807-2816 [doi]
- Unlearn What You Have Learned: Adaptive Crowd Teaching with Exponentially Decayed Memory LearnersYao Zhou, Arun Reddy Nelakurthi, Jingrui He. 2817-2826 [doi]
- Deep Variational Network Embedding in Wasserstein SpaceDingyuan Zhu, Peng Cui 0001, Daixin Wang, Wenwu Zhu 0001. 2827-2836 [doi]
- XiaoIce Band: A Melody and Arrangement Generation Framework for Pop MusicHongyuan Zhu, Qi Liu 0003, Nicholas Jing Yuan, Chuan Qin, Jiawei Li, Kun Zhang, Guang Zhou, Furu Wei, Yuanchun Xu, Enhong Chen. 2837-2846 [doi]
- Adversarial Attacks on Neural Networks for Graph DataDaniel Zügner, Amir Akbarnejad, Stephan Günnemann. 2847-2856 [doi]
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- The Pinterest Approach to Machine LearningLi Fan. 2870 [doi]
- Humans, Jobs, and the Economy: The Future of Finance in the Age of Big DataJames Hodson. 2871 [doi]
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- Building Near Realtime Contextual Recommendations for Active Communities on LinkedInHema Raghavan. 2874 [doi]
- Computational Advertising at ScaleSuju Rajan. 2875 [doi]
- Software 2.0 and Snorkel: Beyond Hand-Labeled DataChristopher Ré. 2876 [doi]
- Planet-Scale Land Cover Classification with FPGAsJoseph Sirosh. 2877 [doi]
- Algorithms, Data, Hardware and Tools: A Perfect StormAlex Smola. 2878 [doi]
- Data Science and Entertainment ProductionJen Walraven. 2879 [doi]
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