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24th KDD 2018: London, UK
- Yike Guo, Faisal Farooq:
Proceedings of the 24th ACM SIGKDD International Conference on Knowledge Discovery & Data Mining, KDD 2018, London, UK, August 19-23, 2018. ACM 2018
Keynote Addresses
- David J. Hand:
Data Science for Financial Applications. 1 - Alvin E. Roth:
Market Design and Computerized Marketplaces. 2 - Yee Whye Teh:
On Big Data Learning for Small Data Problems. 3 - Jeannette M. Wing:
Data for Good: Abstract. 4
Applied Data Science Track Papers
- Jacob D. Abernethy, Alex Chojnacki, Arya Farahi
, Eric M. Schwartz, Jared Webb:
ActiveRemediation: The Search for Lead Pipes in Flint, Michigan. 5-14 - Klaus Ackermann
, Joe Walsh, Adolfo De Unánue
, Hareem Naveed, Andrea Navarrete Rivera, Sun-Joo Lee, Jason Bennett, Michael Defoe, Crystal Cody, Lauren Haynes, Rayid Ghani:
Deploying Machine Learning Models for Public Policy: A Framework. 15-22 - Deepak Agarwal, Kinjal Basu, Souvik Ghosh, Ying Xuan, Yang Yang, Liang Zhang:
Online Parameter Selection for Web-based Ranking Problems. 23-32 - Samet Ayhan, Pablo Costas, Hanan Samet:
Predicting Estimated Time of Arrival for Commercial Flights. 33-42 - Tian Bai, Shanshan Zhang, Brian L. Egleston
, Slobodan Vucetic:
Interpretable Representation Learning for Healthcare via Capturing Disease Progression through Time. 43-51 - Xiao Bai, Erik Ordentlich, Yuanyuan Zhang, Andy Feng, Adwait Ratnaparkhi, Reena Somvanshi, Aldi Tjahjadi:
Scalable Query N-Gram Embedding for Improving Matching and Relevance in Sponsored Search. 52-61 - Rahul Bhagat, Srevatsan Muralidharan, Alex Lobzhanidze, Shankar Vishwanath:
Buy It Again: Modeling Repeat Purchase Recommendations. 62-70 - Fedor Borisyuk, Albert Gordo, Viswanath Sivakumar:
Rosetta: Large Scale System for Text Detection and Recognition in Images. 71-79 - Ângelo Cardoso, Fabio Daolio, Saúl Vargas:
Product Characterisation towards Personalisation: Learning Attributes from Unstructured Data to Recommend Fashion Products. 80-89 - Boyo Chen, Buo-Fu Chen, Hsuan-Tien Lin:
Rotation-blended CNNs on a New Open Dataset for Tropical Cyclone Image-to-intensity Regression. 90-99 - Chaochao Chen
, Ziqi Liu, Peilin Zhao, Longfei Li, Jun Zhou, Xiaolong Li
:
Distributed Collaborative Hashing and Its Applications in Ant Financial. 100-109 - Haolan Chen, Fred X. Han, Di Niu, Dong Liu, Kunfeng Lai, Chenglin Wu, Yu Xu:
MIX: Multi-Channel Information Crossing for Text Matching. 110-119 - Xi Chen, Yiqun Liu, Liang Zhang, Krishnaram Kenthapadi:
How LinkedIn Economic Graph Bonds Information and Product: Applications in LinkedIn Salary. 120-129 - Xumin Chen, Peng Cui, Lingling Yi, Shiqiang Yang:
Scalable Optimization for Embedding Highly-Dynamic and Recency-Sensitive Data. 130-138 - Konstantina Christakopoulou, Alex Beutel, Rui Li, Sagar Jain, Ed H. Chi:
Q&R: A Two-Stage Approach toward Interactive Recommendation. 139-148 - Jonathan Chung, Sarah A. Chau, Nathan Herrmann, Krista L. Lanctôt, Moshe Eizenman:
Detection of Apathy in Alzheimer Patients by Analysing Visual Scanning Behaviour with RNNs. 149-157 - Giovanni Comarela, Ramakrishnan Durairajan, Paul Barford, Dino P. Christenson, Mark Crovella:
Assessing Candidate Preference through Web Browsing History. 158-167 - Michael D. Conover, Matthew Hayes, Scott Blackburn, Pete Skomoroch, Sam Shah:
Pangloss: Fast Entity Linking in Noisy Text Environments. 168-176 - Joel Janek Dabrowski, Ashfaqur Rahman
, Andrew George, Stuart Arnold, John McCulloch:
State Space Models for Forecasting Water Quality Variables: An Application in Aquaculture Prawn Farming. 177-185 - Maria Daltayanni, Ali Dasdan, Luca de Alfaro:
Automated Audience Segmentation Using Reputation Signals. 186-195 - Nilaksh Das, Madhuri Shanbhogue, Shang-Tse Chen, Fred Hohman, Siwei Li, Li Chen, Michael E. Kounavis, Duen Horng Chau
:
SHIELD: Fast, Practical Defense and Vaccination for Deep Learning using JPEG Compression. 196-204 - Heidar Davoudi, Aijun An, Morteza Zihayat, Gordon Edall:
Adaptive Paywall Mechanism for Digital News Media. 205-214 - Daniel de Roux, Boris Perez, Andrés Moreno
, María-Del-Pilar Villamil, César Figueroa:
Tax Fraud Detection for Under-Reporting Declarations Using an Unsupervised Machine Learning Approach. 215-222 - Tom Decroos, Jan Van Haaren, Jesse Davis
:
Automatic Discovery of Tactics in Spatio-Temporal Soccer Match Data. 223-232 - Alex Deng, Ulf Knoblich, Jiannan Lu:
Applying the Delta Method in Metric Analytics: A Practical Guide with Novel Ideas. 233-242 - Tom Diethe
, Mike Holmes, Meelis Kull, Miquel Perelló-Nieto
, Kacper Sokol
, Hao Song, Emma Tonkin, Niall Twomey, Peter A. Flach:
Releasing eHealth Analytics into the Wild: Lessons Learnt from the SPHERE Project. 243-252 - Yujie Fan, Shifu Hou, Yiming Zhang, Yanfang Ye, Melih Abdulhayoglu:
Gotcha - Sly Malware!: Scorpion A Metagraph2vec Based Malware Detection System. 253-262 - Donatella Firmani
, Marco Maiorino, Paolo Merialdo
, Elena Nieddu:
Towards Knowledge Discovery from the Vatican Secret Archives. In Codice Ratio - Episode 1: Machine Transcription of the Manuscripts. 263-272 - Keith Funkhouser, Matthew Malloy, Enis Ceyhun Alp, Phillip Poon, Paul Barford:
Device Graphing by Example. 273-282 - Yan Gao, Viral Gupta, Jinyun Yan, Changji Shi, Zhongen Tao, P. J. Xiao, Curtis Wang, Shipeng Yu, Rómer Rosales, Ajith Muralidharan, Shaunak Chatterjee:
Near Real-time Optimization of Activity-based Notifications. 283-292 - Alex Gittens, Kai Rothauge, Shusen Wang
, Michael W. Mahoney, Lisa Gerhardt, Prabhat, Jey Kottalam, Michael F. Ringenburg
, Kristyn J. Maschhoff:
Accelerating Large-Scale Data Analysis by Offloading to High-Performance Computing Libraries using Alchemist. 293-301 - Garrett B. Goh, Charles Siegel, Abhinav Vishnu, Nathan Oken Hodas:
Using Rule-Based Labels for Weak Supervised Learning: A ChemNet for Transferable Chemical Property Prediction. 302-310 - Mihajlo Grbovic, Haibin Cheng:
Real-time Personalization using Embeddings for Search Ranking at Airbnb. 311-320 - Mengyue Hang, Ian Pytlarz, Jennifer Neville:
Exploring Student Check-In Behavior for Improved Point-of-Interest Prediction. 321-330 - Shahar Harel, Kira Radinsky:
Accelerating Prototype-Based Drug Discovery using Conditional Diversity Networks. 331-339 - Tianfu He, Jie Bao, Ruiyuan Li, Sijie Ruan, Yanhua Li, Chao Tian, Yu Zheng:
Detecting Vehicle Illegal Parking Events using Sharing Bikes' Trajectories. 340-349 - Anthony Hu, Seth R. Flaxman:
Multimodal Sentiment Analysis To Explore the Structure of Emotions. 350-358 - Houdong Hu, Yan Wang, Linjun Yang, Pavel Komlev, Li Huang, Xi Stephen Chen, Jiapei Huang, Ye Wu, Meenaz Merchant, Arun Sacheti:
Web-Scale Responsive Visual Search at Bing. 359-367 - Yujing Hu, Qing Da, Anxiang Zeng, Yang Yu, Yinghui Xu:
Reinforcement Learning to Rank in E-Commerce Search Engine: Formalization, Analysis, and Application. 368-377 - Pierre Hulot, Daniel Aloise
, Sanjay Dominik Jena:
Towards Station-Level Demand Prediction for Effective Rebalancing in Bike-Sharing Systems. 378-386 - Kyle Hundman, Valentino Constantinou, Christopher Laporte, Ian Colwell, Tom Söderström:
Detecting Spacecraft Anomalies Using LSTMs and Nonparametric Dynamic Thresholding. 387-395 - Srinivasan Iyengar, Stephen Lee
, David E. Irwin, Prashant J. Shenoy
, Benjamin Weil:
WattHome: A Data-driven Approach for Energy Efficiency Analytics at City-scale. 396-405 - Vijay Manikandan Janakiraman:
Explaining Aviation Safety Incidents Using Deep Temporal Multiple Instance Learning. 406-415 - Grégoire Jauvion, Nicolas Grislain:
Optimal Allocation of Real-Time-Bidding and Direct Campaigns. 416-424 - Grégoire Jauvion, Nicolas Grislain, Pascal Dkengne Sielenou, Aurélien Garivier, Sébastien Gerchinovitz:
Optimization of a SSP's Header Bidding Strategy using Thompson Sampling. 425-432 - Prerna Khurana, Puneet Agarwal, Gautam Shroff, Lovekesh Vig:
Resolving Abstract Anaphora Implicitly in Conversational Assistants using a Hierarchically stacked RNN. 433-442 - Patrick Koch, Oleg Golovidov, Steven Gardner, Brett Wujek, Joshua Griffin, Yan Xu:
Autotune: A Derivative-free Optimization Framework for Hyperparameter Tuning. 443-452 - Marios Kokkodis:
Dynamic Recommendations for Sequential Hiring Decisions in Online Labor Markets. 453-461 - Maksim Koptelov, Albrecht Zimmermann, Pascal Bonnet
, Ronan Bureau
, Bruno Crémilleux:
PrePeP: A Tool for the Identification and Characterization of Pan Assay Interference Compounds. 462-471 - Avishek 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:
Using Machine Learning to Assess the Risk of and Prevent Water Main Breaks. 472-480 - Joonseok Lee, Sami Abu-El-Haija, Balakrishnan Varadarajan, Apostol Natsev:
Collaborative Deep Metric Learning for Video Understanding. 481-490 - Minyong R. Lee, Milan Shen:
Winner's Curse: Bias Estimation for Total Effects of Features in Online Controlled Experiments. 491-499 - Mu-Chu Lee, Bin Gao, Ruofei Zhang
:
Rare Query Expansion Through Generative Adversarial Networks in Search Advertising. 500-508 - Jia Li, Yu Rong, Helen Meng, Zhihui Lu, Timothy C. Y. Kwok, Hong Cheng:
TATC: Predicting Alzheimer's Disease with Actigraphy Data. 509-518 - Jianbo Li, Jingrui He, Yada Zhu:
E-tail Product Return Prediction via Hypergraph-based Local Graph Cut. 519-527 - Xijun Li, Mingxuan Yuan, Di Chen, Jianguo Yao, Jia Zeng:
A Data-Driven Three-Layer Algorithm for Split Delivery Vehicle Routing Problem with 3D Container Loading Constraint. 528-536 - Binbing Liao, Jingqing Zhang, Chao Wu, Douglas McIlwraith, Tong Chen, Shengwen Yang, Yike Guo, Fei Wu:
Deep Sequence Learning with Auxiliary Information for Traffic Prediction. 537-546 - Qingwei Lin, Weichen Ke, Jian-Guang Lou, Hongyu Zhang
, Kaixin Sui, Yong Xu, Ziyi Zhou, Bo Qiao
, Dongmei Zhang:
BigIN4: Instant, Interactive Insight Identification for Multi-Dimensional Big Data. 547-555 - Qiaoling Liu, Josh Chao, Thomas Mahoney, Alan Chern, Chris Min, Faizan Javed, Valentin Jijkoun:
Lessons Learned from Developing and Deploying a Large-Scale Employer Name Normalization System for Online Recruitment. 556-565 - Zhaoyang Liu, Yanyan Shen, Yanmin Zhu:
Where Will Dockless Shared Bikes be Stacked?: - Parking Hotspots Detection in a New City. 566-575 - Tova Milo, Amit Somech
:
Next-Step Suggestions for Modern Interactive Data Analysis Platforms. 576-585 - Piero Molino, Huaixiu Zheng, Yi-Chia Wang:
COTA: Improving the Speed and Accuracy of Customer Support through Ranking and Deep Networks. 586-595 - Yabo Ni, Dan Ou, Shichen Liu, Xiang Li, Wenwu Ou, Anxiang Zeng, Luo Si:
Perceive Your Users in Depth: Learning Universal User Representations from Multiple E-commerce Tasks. 596-605 - Tim Op De Beéck, Wannes Meert
, Kurt Schütte, Benedicte Vanwanseele
, Jesse Davis
:
Fatigue Prediction in Outdoor Runners Via Machine Learning and Sensor Fusion. 606-615 - Barak Oshri, Annie Hu, Peter Adelson, Xiao Chen, Pascaline Dupas
, Jeremy Weinstein, Marshall Burke
, David B. Lobell
, Stefano Ermon:
Infrastructure Quality Assessment in Africa using Satellite Imagery and Deep Learning. 616-625 - Fabio Petroni, Natraj Raman, Timothy Nugent, Armineh Nourbakhsh, Zarko Panic, Sameena Shah, Jochen L. Leidner
:
An Extensible Event Extraction System With Cross-Media Event Resolution. 626-635 - Jinfeng Rao, Ferhan Türe, Jimmy Lin:
Multi-Task Learning with Neural Networks for Voice Query Understanding on an Entertainment Platform. 636-645 - Yuecheng Rong, Zhimian Xu, Ruibo Yan, Xu Ma:
Du-Parking: Spatio-Temporal Big Data Tells You Realtime Parking Availability. 646-654 - Rui Paulo Ruhrländer, Martin Boissier
, Matthias Uflacker:
Improving Box Office Result Predictions for Movies Using Consumer-Centric Models. 655-664 - Elaheh Sadredini
, Deyuan Guo, Chunkun Bo, Reza Rahimi, Kevin Skadron
, Hongning Wang
:
A Scalable Solution for Rule-Based Part-of-Speech Tagging on Novel Hardware Accelerators. 665-674 - Tara Safavi, Maryam Davoodi, Danai Koutra:
Career Transitions and Trajectories: A Case Study in Computing. 675-684 - Karan Samel, Xu Miao:
Active Deep Learning to Tune Down the Noise in Labels. 685-694 - Issei Sato, Yukihiro Nomura
, Shouhei Hanaoka, Soichiro Miki, Naoto Hayashi, Osamu Abe
, Yoshitaka Masutani
:
Managing Computer-Assisted Detection System Based on Transfer Learning with Negative Transfer Inhibition. 695-704 - Rainer Schlosser
, Martin Boissier
:
Dynamic Pricing under Competition on Online Marketplaces: A Data-Driven Approach. 705-714 - Supreeth Prajwal Shashikumar, Amit J. Shah
, Gari D. Clifford, Shamim Nemati:
Detection of Paroxysmal Atrial Fibrillation using Attention-based Bidirectional Recurrent Neural Networks. 715-723 - Bilong Shen, Xiaodan Liang, Yufeng Ouyang, Miaofeng Liu, Weimin Zheng, Kathleen M. Carley:
StepDeep: A Novel Spatial-temporal Mobility Event Prediction Framework based on Deep Neural Network. 724-733 - Ying Sheng, Sandeep Tata, James B. Wendt
, Jing Xie, Qi Zhao, Marc Najork
:
Anatomy of a Privacy-Safe Large-Scale Information Extraction System Over Email. 734-743 - Yeming Shi, Claudia Perlich, Rod Hook, Wickus Martin, Melinda Han Williams, Justin Moynihan, Patrick McCarthy, Peter Lenz, Reka Daniel-Weiner, Roger Cost:
Audience Size Forecasting: Fast and Smart Budget Planning for Media Buyers. 744-753 - Mark Silvis, Anthony Sicilia, Alexandros Labrinidis:
PittGrub: A Frustration-Free System to Reduce Food Waste by Notifying Hungry College Students. 754-763 - Bhavkaran Singh Walia, Qianyi Hu, Jeffrey Chen, Fangyan Chen, Jessica Lee, Nathan Kuo, Palak Narang, Jason Batts, Geoffrey Arnold, Michael Madaio:
A Dynamic Pipeline for Spatio-Temporal Fire Risk Prediction. 764-773 - Peter W. J. Staar, Michele Dolfi
, Christoph Auer, Costas Bekas:
Corpus Conversion Service: A Machine Learning Platform to Ingest Documents at Scale. 774-782 - Hiroki Sugiura, Taichi Kiwaki, Siamak Yousefi, Hiroshi Murata, Ryo Asaoka, Kenji Yamanishi
:
Estimating Glaucomatous Visual Sensitivity from Retinal Thickness with Pattern-Based Regularization and Visualization. 783-792 - Mengying Sun, Fengyi Tang, Jinfeng Yi, Fei Wang, Jiayu Zhou:
Identify Susceptible Locations in Medical Records via Adversarial Attacks on Deep Predictive Models. 793-801 - Harini Suresh, Jen J. Gong, John V. Guttag:
Learning Tasks for Multitask Learning: Heterogenous Patient Populations in the ICU. 802-810 - Jianrong Tao, Jiarong Xu, Linxia Gong, Yifu Li, Changjie Fan, Zhou Zhao:
NGUARD: A Game Bot Detection Framework for NetEase MMORPGs. 811-820 - Martin Valdez-Vivas, Caner Gocmen, Andrii Korotkov, Ethan Fang, Kapil Goenka, Sherry Chen:
A Real-time Framework for Detecting Efficiency Regressions in a Globally Distributed Codebase. 821-829 - Jingyuan Wang, Xiaojian Wang, Junjie Wu:
Inferring Metapopulation Propagation Network for Intra-city Epidemic Control and Prevention. 830-838 - Jizhe Wang, Pipei Huang, Huan Zhao, Zhibo Zhang, Binqiang Zhao, Dik Lun Lee:
Billion-scale Commodity Embedding for E-commerce Recommendation in Alibaba. 839-848 - Yaqing Wang, Fenglong Ma, Zhiwei Jin, Ye Yuan, Guangxu Xun
, Kishlay Jha
, Lu Su, Jing Gao:
EANN: Event Adversarial Neural Networks for Multi-Modal Fake News Detection. 849-857 - Zheng Wang, Kun Fu, Jieping Ye:
Learning to Estimate the Travel Time. 858-866 - Serene W. H. Wong, Chiara Pastrello
, Max Kotlyar, Christos Faloutsos, Igor Jurisica
:
SDREGION: Fast Spotting of Changing Communities in Biological Networks. 867-875 - Yuxiang Xie, Nanyu Chen, Xiaolin Shi:
False Discovery Rate Controlled Heterogeneous Treatment Effect Detection for Online Controlled Experiments. 876-885 - Xin Shen, Hongxia Yang, Weizhao Xian, Martin Ester, Jiajun Bu, Zhongyao Wang, Can Wang:
Mobile Access Record Resolution on Large-Scale Identifier-Linkage Graphs. 886-894 - Ya Xu, Weitao Duan, Shaochen Huang:
SQR: Balancing Speed, Quality and Risk in Online Experiments. 895-904 - Zhe Xu, Zhixin Li, Qingwen Guan, Dingshui Zhang, Qiang Li, Junxiao Nan, Chunyang Liu, Wei Bian, Jieping Ye:
Large-Scale Order Dispatch in On-Demand Ride-Hailing Platforms: A Learning and Planning Approach. 905-913 - Carl Yang, Xiaolin Shi, Luo Jie, Jiawei Han:
I Know You'll Be Back: Interpretable New User Clustering and Churn Prediction on a Mobile Social Application. 914-922 - Xulei Yang, Zeng Zeng, Sin G. Teo, Li Wang, Vijay Chandrasekhar, Steven C. H. Hoi:
Deep Learning for Practical Image Recognition: Case Study on Kaggle Competitions. 923-931 - Peng Ye, Julian Qian, Jieying Chen, Chen-Hung Wu, Yitong Zhou, Spencer De Mars, Frank Yang, Li Zhang:
Customized Regression Model for Airbnb Dynamic Pricing. 932-940 - Ting Ye, Hucheng Zhou, Will Y. Zou, Bin Gao, Ruofei Zhang
:
RapidScorer: Fast Tree Ensemble Evaluation by Maximizing Compactness in Data Level Parallelization. 941-950 - Xiuwen Yi, Junbo Zhang, Zhaoyuan Wang, Tianrui Li
, Yu Zheng:
Deep Distributed Fusion Network for Air Quality Prediction. 965-973 - Rex Ying, Ruining He, Kaifeng Chen, Pong Eksombatchai, William L. Hamilton, Jure Leskovec
:
Graph Convolutional Neural Networks for Web-Scale Recommender Systems. 974-983 - Zhuoning Yuan, Xun Zhou, Tianbao Yang:
Hetero-ConvLSTM: A Deep Learning Approach to Traffic Accident Prediction on Heterogeneous Spatio-Temporal Data. 984-992 - Yanhao Zhang, Pan Pan, Yun Zheng, Kang Zhao, Yingya Zhang, Xiaofeng Ren, Rong Jin:
Visual Search at Alibaba. 993-1001 - Yutao Zhang, Fanjin Zhang, Peiran Yao
, Jie Tang:
Name Disambiguation in AMiner: Clustering, Maintenance, and Human in the Loop. 1002-1011 - Bo Zhao, Koichiro Narita, Burkay Orten, John Egan:
Notification Volume Control and Optimization System at Pinterest. 1012-1020 - Jun Zhao, Guang Qiu, Ziyu Guan, Wei Zhao, Xiaofei He:
Deep Reinforcement Learning for Sponsored Search Real-time Bidding. 1021-1030 - Kui Zhao, Yuechuan Li, Zhaoqian Shuai, Cheng Yang:
Learning and Transferring IDs Representation in E-commerce. 1031-1039 - Xiangyu Zhao, Liang Zhang
, Zhuoye Ding, Long Xia, Jiliang Tang, Dawei Yin:
Recommendations with Negative Feedback via Pairwise Deep Reinforcement Learning. 1040-1048 - Guineng Zheng, Subhabrata Mukherjee, Xin Luna Dong, Feifei Li:
OpenTag: Open Attribute Value Extraction from Product Profiles. 1049-1058 - Guorui Zhou, Xiaoqiang Zhu, Chengru Song, Ying Fan, Han Zhu, Xiao Ma
, Yanghui Yan, Junqi Jin, Han Li, Kun Gai:
Deep Interest Network for Click-Through Rate Prediction. 1059-1068 - Xiao Zhou, Anastasios Noulas, Cecilia Mascolo, Zhongxiang Zhao:
Discovering Latent Patterns of Urban Cultural Interactions in WeChat for Modern City Planning. 1069-1078 - Han Zhu, Xiang Li
, Pengye Zhang, Guozheng Li, Jie He
, Han Li, Kun Gai:
Learning Tree-based Deep Model for Recommender Systems. 1079-1088
Research Track Papers
- Rediet Abebe, Jon M. Kleinberg, David C. Parkes, Charalampos E. Tsourakakis
:
Opinion Dynamics with Varying Susceptibility to Persuasion. 1089-1098 - Ayan Acharya, Joydeep Ghosh, Mingyuan Zhou:
A Dual Markov Chain Topic Model for Dynamic Environments. 1099-1108 - Aris Anagnostopoulos
, Carlos Castillo
, Adriano Fazzone
, Stefano Leonardi, Evimaria Terzi:
Algorithms for Hiring and Outsourcing in the Online Labor Market. 1109-1118 - Olivier Bachem, Mario Lucic, Andreas Krause:
Scalable k -Means Clustering via Lightweight Coresets. 1119-1127 - Zilong Bai
, Buyue Qian, Ian Davidson:
Discovering Models from Structural and Behavioral Brain Imaging Data. 1128-1137 - MohammadHossein Bateni, Hossein Esfandiari, Vahab S. Mirrokni:
Optimal Distributed Submodular Optimization via Sketching. 1138-1147 - Austin R. Benson, Ravi Kumar, Andrew Tomkins:
Sequences of Sets. 1148-1157 - Lei Cai, Zhengyang Wang, Hongyang Gao, Dinggang Shen, Shuiwang Ji
:
Deep Adversarial Learning for Multi-Modality Missing Data Completion. 1158-1166 - Chen Chen
, Ruiyue Peng, Lei Ying
, Hanghang Tong
:
Network Connectivity Optimization: Fundamental Limits and Effective Algorithms. 1167-1176 - Hongxu Chen
, Hongzhi Yin
, Weiqing Wang
, Hao Wang, Quoc Viet Hung Nguyen
, Xue Li
:
PME: Projected Metric Embedding on Heterogeneous Networks for Link Prediction. 1177-1186 - Shi-Yong Chen, Yang Yu, Qing Da, Jun Tan, Hai-Kuan Huang, Hai-Hong Tang:
Stabilizing Reinforcement Learning in Dynamic Environment with Application to Online Recommendation. 1187-1196 - Xi Chen, Jefrey Lijffijt
, Tijl De Bie:
Quantifying and Minimizing Risk of Conflict in Social Networks. 1197-1205 - Xiaojun Chen, Weijun Hong, Feiping Nie
, Dan He, Min Yang, Joshua Zhexue Huang:
Spectral Clustering of Large-scale Data by Directly Solving Normalized Cut. 1206-1215 - Yihong Chen, Bei Chen, Xuguang Duan, Jian-Guang Lou, Yue Wang, Wenwu Zhu, Yong Cao:
Learning-to-Ask: Knowledge Acquisition via 20 Questions. 1216-1225 - Yongjun Chen, Hongyang Gao, Lei Cai, Min Shi, Dinggang Shen, Shuiwang Ji
:
Voxel Deconvolutional Networks for 3D Brain Image Labeling. 1226-1234 - Evangelia Christakopoulou, George Karypis
:
Local Latent Space Models for Top-N Recommendation. 1235-1243 - Lingyang Chu, Xia Hu, Juhua Hu, Lanjun Wang
, Jian Pei
:
Exact and Consistent Interpretation for Piecewise Linear Neural Networks: A Closed Form Solution. 1244-1253 - Adam D. Cobb, Richard Everett, Andrew Markham
, Stephen J. Roberts:
Identifying Sources and Sinks in the Presence of Multiple Agents with Gaussian Process Vector Calculus. 1254-1262 - David Cohen-Steiner, Weihao Kong, Christian Sohler
, Gregory Valiant:
Approximating the Spectrum of a Graph. 1263-1271 - Alessio Conte, Tiziano De Matteis
, Daniele De Sensi
, Roberto Grossi, Andrea Marino, Luca Versari:
D2K: Scalable Community Detection in Massive Networks via Small-Diameter k-Plexes. 1272-1281 - Alessio Conte, Gaspare Ferraro
, Roberto Grossi, Andrea Marino, Kunihiko Sadakane
, Takeaki Uno:
Node Similarity with q -Grams for Real-World Labeled Networks. 1282-1291 - Yogesh Dahiya, Dimitris Konomis, David P. Woodruff:
An Empirical Evaluation of Sketching for Numerical Linear Algebra. 1292-1300 - Shimin Di
, Jingshu Peng, Yanyan Shen, Lei Chen:
Transfer Learning via Feature Isomorphism Discovery. 1301-1309 - Yi Ding, Weiqing Liu, Jiang Bian, Daoqiang Zhang, Tie-Yan Liu:
Investor-Imitator: A Framework for Trading Knowledge Extraction. 1310-1319 - Claire Donnat
, Marinka Zitnik, David Hallac, Jure Leskovec
:
Learning Structural Node Embeddings via Diffusion Wavelets. 1320-1329 - Bowen Du, Yongxin Tong
, Zimu Zhou, Qian Tao
, Wenjun Zhou
:
Demand-Aware Charger Planning for Electric Vehicle Sharing. 1330-1338 - Boxin Du, Hanghang Tong
:
FASTEN: Fast Sylvester Equation Solver for Graph Mining. 1339-1347 - Changying Du, Changde Du, Xingyu Xie, Chen Zhang, Hao Wang:
Multi-view Adversarially Learned Inference for Cross-domain Joint Distribution Matching. 1348-1357 - Mengnan Du, Ninghao Liu, Qingquan Song, Xia Hu:
Towards Explanation of DNN-based Prediction with Guided Feature Inversion. 1358-1367 - Otmar Ertl:
BagMinHash - Minwise Hashing Algorithm for Weighted Sets. 1368-1377 - Dhivya Eswaran, Christos Faloutsos, Sudipto Guha, Nina Mishra:
SpotLight: Detecting Anomalies in Streaming Graphs. 1378-1386 - Ian Fox, Lynn Ang, Mamta Jaiswal, Rodica Pop-Busui
, Jenna Wiens:
Deep Multi-Output Forecasting: Learning to Accurately Predict Blood Glucose Trajectories. 1387-1395 - Weijie Fu, Meng Wang, Shijie Hao, Xindong Wu:
Scalable Active Learning by Approximated Error Reduction. 1396-1405 - Hongchang Gao, Heng Huang:
Self-Paced Network Embedding. 1406-1415 - Hongyang Gao, Zhengyang Wang, Shuiwang Ji
:
Large-Scale Learnable Graph Convolutional Networks. 1416-1424 - Nandani Garg, Sayan Ranu:
Route Recommendations for Idle Taxi Drivers: Find Me the Shortest Route to a Customer! 1425-1434 - Kamran Ghasedi Dizaji, Xiaoqian Wang, Heng Huang:
Semi-Supervised Generative Adversarial Network for Gene Expression Inference. 1435-1444 - Fabian Gieseke, Christian Igel:
Training Big Random Forests with Little Resources. 1445-1454 - Lin Gong
, Hongning Wang
:
When Sentiment Analysis Meets Social Network: A Holistic User Behavior Modeling in Opinionated Data. 1455-1464 - Alexander Gorovits
, Ekta Gujral
, Evangelos E. Papalexakis
, Petko Bogdanov:
LARC: Learning Activity-Regularized Overlapping Communities Across Time. 1465-1474 - Bin Gu, Xiao-Tong Yuan, Songcan Chen, Heng Huang:
New Incremental Learning Algorithm for Semi-Supervised Support Vector Machine. 1475-1484 - Jie Gui, Ping Li:
R 2 SDH: Robust Rotated Supervised Discrete Hashing. 1485-1493 - Yufei Han, Guolei Sun
, Yun Shen, Xiangliang Zhang
:
Multi-label Learning with Highly Incomplete Data via Collaborative Embedding. 1494-1503 - Raphael A. Hauser
, Armin Eftekhari, Heinrich F. Matzinger:
PCA by Determinant Optimisation has no Spurious Local Optima. 1504-1511 - William Herlands, Edward McFowland III
, Andrew Gordon Wilson, Daniel B. Neill
:
Automated Local Regression Discontinuity Design Discovery. 1512-1520 - Junyuan Hong, Huanhuan Chen, Feng Lin
:
Disturbance Grassmann Kernels for Subspace-Based Learning. 1521-1530 - Binbin Hu, Chuan Shi, Wayne Xin Zhao, Philip S. Yu:
Leveraging Meta-path based Context for Top- N Recommendation with A Neural Co-Attention Model. 1531-1540 - Mengdi Huai, Chenglin Miao
, Yaliang Li, Qiuling Suo, Lu Su, Aidong Zhang:
Metric Learning from Probabilistic Labels. 1541-1550 - Biwei Huang, Kun Zhang, Yizhu Lin, Bernhard Schölkopf, Clark Glymour:
Generalized Score Functions for Causal Discovery. 1551-1560 - Qiang Huang
, Guihong Ma, Jianlin Feng, Qiong Fang, Anthony K. H. Tung
:
Accurate and Fast Asymmetric Locality-Sensitive Hashing Scheme for Maximum Inner Product Search. 1561-1570 - Sheng-Jun Huang, Miao Xu
, Ming-Kun Xie, Masashi Sugiyama
, Gang Niu, Songcan Chen:
Active Feature Acquisition with Supervised Matrix Completion. 1571-1579 - Sheng-Jun Huang, Jia-Wei Zhao, Zhao-Yang Liu:
Cost-Effective Training of Deep CNNs with Active Model Adaptation. 1580-1588 - Jun-Yong Jeong, Chi-Hyuck Jun:
Variable Selection and Task Grouping for Multi-Task Learning. 1589-1598 - Kishlay Jha
, Guangxu Xun
, Yaqing Wang, Vishrawas Gopalakrishnan, Aidong Zhang:
Concepts-Bridges: Uncovering Conceptual Bridges Based on Biomedical Concept Evolution. 1599-1607 - Bo Jin, Haoyu Yang
, Leilei Sun
, Chuanren Liu
, Yue Qu, Jianing Tong:
A Treatment Engine by Predicting Next-Period Prescriptions. 1608-1616 - Kun Kuang, Peng Cui, Susan Athey
, Ruoxuan Xiong, Bo Li:
Stable Prediction across Unknown Environments. 1617-1626 - Atsutoshi Kumagai, Tomoharu Iwata:
Learning Dynamics of Decision Boundaries without Additional Labeled Data. 1627-1636 - Hung Le
, Truyen Tran, Svetha Venkatesh:
Dual Memory Neural Computer for Asynchronous Two-view Sequential Learning. 1637-1645 - Ching-pei Lee
, Cong Han Lim, Stephen J. Wright:
A Distributed Quasi-Newton Algorithm for Empirical Risk Minimization with Nonsmooth Regularization. 1646-1655 - Jaewoo Lee, Daniel Kifer
:
Concentrated Differentially Private Gradient Descent with Adaptive per-Iteration Privacy Budget. 1656-1665 - John Boaz Lee, Ryan A. Rossi, Xiangnan Kong:
Graph Classification using Structural Attention. 1666-1674 - Qi Li
, Meng Jiang, Xikun Zhang
, Meng Qu, Timothy P. Hanratty, Jing Gao, Jiawei Han:
TruePIE: Discovering Reliable Patterns in Pattern-Based Information Extraction. 1675-1684 - Shuai Li, Yasin Abbasi-Yadkori, Branislav Kveton, S. Muthukrishnan, Vishwa Vinay
, Zheng Wen:
Offline Evaluation of Ranking Policies with Click Models. 1685-1694 - Yaguang Li, Kun Fu, Zheng Wang, Cyrus Shahabi, Jieping Ye, Yan Liu:
Multi-task Representation Learning for Travel Time Estimation. 1695-1704 - Yaliang Li, Chenglin Miao
, Lu Su, Jing Gao, Qi Li, Bolin Ding, Zhan Qin, Kui Ren:
An Efficient Two-Layer Mechanism for Privacy-Preserving Truth Discovery. 1705-1714 - Yan Li, Jieping Ye:
Learning Adversarial Networks for Semi-Supervised Text Classification via Policy Gradient. 1715-1723 - Yexin Li
, Yu Zheng, Qiang Yang:
Dynamic Bike Reposition: A Spatio-Temporal Reinforcement Learning Approach. 1724-1733 - Zhi Li, Hongke Zhao, Qi Liu, Zhenya Huang, Tao Mei, Enhong Chen:
Learning from History and Present: Next-item Recommendation via Discriminatively Exploiting User Behaviors. 1734-1743 - Defu Lian
, Kai Zheng, Vincent W. Zheng, Yong Ge, Longbing Cao
, Ivor W. Tsang
, Xing Xie
:
High-order Proximity Preserving Information Network Hashing. 1744-1753 - Jianxun Lian, Xiaohuan Zhou, Fuzheng Zhang, Zhongxia Chen, Xing Xie
, Guangzhong Sun:
xDeepFM: Combining Explicit and Implicit Feature Interactions for Recommender Systems. 1754-1763 - Shangsong Liang, Xiangliang Zhang
, Zhaochun Ren, Evangelos Kanoulas
:
Dynamic Embeddings for User Profiling in Twitter. 1764-1773 - Kaixiang Lin, Renyu Zhao, Zhe Xu, Jiayu Zhou:
Efficient Large-Scale Fleet Management via Multi-Agent Deep Reinforcement Learning. 1774-1783 - Boyang Liu, Pang-Ning Tan
, Jiayu Zhou:
Enhancing Predictive Modeling of Nested Spatial Data through Group-Level Feature Disaggregation. 1784-1793 - Jie Liu, Zhicheng He, Lai Wei, Yalou Huang:
Content to Node: Self-Translation Network Embedding. 1794-1802 - Ninghao Liu, Hongxia Yang, Xia Hu:
Adversarial Detection with Model Interpretation. 1803-1811 - Ninghao Liu, Xiao Huang
, Jundong Li, Xia Hu:
On Interpretation of Network Embedding via Taxonomy Induction. 1812-1820 - Qi Liu, Zai Huang, Zhenya Huang, Chuanren Liu
, Enhong Chen, Yu Su, Guoping Hu:
Finding Similar Exercises in Online Education Systems. 1821-1830 - Qiao Liu
, Yifu Zeng, Refuoe Mokhosi, Haibin Zhang:
STAMP: Short-Term Attention/Memory Priority Model for Session-based Recommendation. 1831-1839 - Xinyue Liu, Xiangnan Kong, Philip S. Yu:
Active Opinion Maximization in Social Networks. 1840-1849 - Yiding Liu, Kaiqi Zhao
, Gao Cong
:
Efficient Similar Region Search with Deep Metric Learning. 1850-1859 - Zemin Liu, Vincent W. Zheng, Zhou Zhao, Zhao Li, Hongxia Yang, Minghui Wu
, Jing Ying:
Interactive Paths Embedding for Semantic Proximity Search on Heterogeneous Graphs. 1860-1869 - Zheng Liu
, Xing Xie
, Lei Chen:
Context-aware Academic Collaborator Recommendation. 1870-1879 - Pan Lu, Lei Ji, Wei Zhang, Nan Duan
, Ming Zhou, Jianyong Wang:
R-VQA: Learning Visual Relation Facts with Semantic Attention for Visual Question Answering. 1880-1889 - Chen Luo, Zhengzhang Chen
, Lu-An Tang, Anshumali Shrivastava, Zhichun Li, Haifeng Chen, Jieping Ye:
TINET: Learning Invariant Networks via Knowledge Transfer. 1890-1899 - Luo Luo, Wenpeng Zhang, Zhihua Zhang, Wenwu Zhu, Tong Zhang, Jian Pei
:
Sketched Follow-The-Regularized-Leader for Online Factorization Machine. 1900-1909 - Fenglong Ma, Jing Gao, Qiuling Suo, Quanzeng You, Jing Zhou, Aidong Zhang:
Risk Prediction on Electronic Health Records with Prior Medical Knowledge. 1910-1919 - Jianxin Ma, Peng Cui, Xiao Wang, Wenwu Zhu:
Hierarchical Taxonomy Aware Network Embedding. 1920-1929 - Jiaqi Ma
, Zhe Zhao, Xinyang Yi, Jilin Chen, Lichan Hong, Ed H. Chi:
Modeling Task Relationships in Multi-task Learning with Multi-gate Mixture-of-Experts. 1930-1939 - Chaitanya Manapragada
, Geoffrey I. Webb
, Mahsa Salehi
:
Extremely Fast Decision Tree. 1953-1962 - Emaad A. Manzoor, Hemank Lamba, Leman Akoglu:
xStream: Outlier Detection in Feature-Evolving Data Streams. 1963-1972 - Dominik Mautz
, Wei Ye
, Claudia Plant
, Christian Böhm:
Discovering Non-Redundant K-means Clusterings in Optimal Subspaces. 1973-1982 - Denis Moreira dos Reis, André Gustavo Maletzke, Diego Furtado Silva, Gustavo E. A. P. A. Batista:
Classifying and Counting with Recurrent Contexts. 1983-1992 - Gyoung S. Na, Donghyun Kim
, Hwanjo Yu:
DILOF: Effective and Memory Efficient Local Outlier Detection in Data Streams. 1993-2002 - Khanh Nguyen, Trung Le, Tu Dinh Nguyen, Dinh Q. Phung
, Geoffrey I. Webb
:
Robust Bayesian Kernel Machine via Stein Variational Gradient Descent for Big Data. 2003-2011 - Feiping Nie
, Zhanxuan Hu, Xuelong Li
:
Calibrated Multi-Task Learning. 2012-2021 - Feiping Nie
, Lai Tian, Xuelong Li
:
Multiview Clustering via Adaptively Weighted Procrustes. 2022-2030 - Chaoyue Niu, Zhenzhe Zheng, Fan Wu, Shaojie Tang, Xiaofeng Gao, Guihai Chen
:
Unlocking the Value of Privacy: Trading Aggregate Statistics over Private Correlated Data. 2031-2040 - Guansong Pang
, Longbing Cao
, Ling Chen, Huan Liu:
Learning Representations of Ultrahigh-dimensional Data for Random Distance-based Outlier Detection. 2041-2050 - Himchan Park, Min-Soo Kim:
EvoGraph: An Effective and Efficient Graph Upscaling Method for Preserving Graph Properties. 2051-2059 - Georgina Peake, Jun Wang:
Explanation Mining: Post Hoc Interpretability of Latent Factor Models for Recommendation Systems. 2060-2069 - Leonardo Pellegrina
, Fabio Vandin:
Efficient Mining of the Most Significant Patterns with Permutation Testing. 2070-2079 - Ioakeim Perros, Evangelos E. Papalexakis
, Haesun Park, Richard W. Vuduc
, Xiaowei Yan, Christopher deFilippi, Walter F. Stewart, Jimeng Sun
:
SUSTain: Scalable Unsupervised Scoring for Tensors and its Application to Phenotyping. 2080-2089 - Jean Pouget-Abadie, Vahab S. Mirrokni, David C. Parkes, Edoardo M. Airoldi:
Optimizing Cluster-based Randomized Experiments under Monotonicity. 2090-2099 - Abdulhakim Ali Qahtan, Ahmed K. Elmagarmid, Raul Castro Fernandez, Mourad Ouzzani, Nan Tang:
FAHES: A Robust Disguised Missing Values Detector. 2100-2109 - Jiezhong Qiu, Jian Tang, Hao Ma, Yuxiao Dong, Kuansan Wang, Jie Tang:
DeepInf: Social Influence Prediction with Deep Learning. 2110-2119 - Reihaneh Rabbany, David Bayani, Artur Dubrawski:
Active Search of Connections for Case Building and Combating Human Trafficking. 2120-2129 - Matteo Riondato
, Fabio Vandin:
MiSoSouP: Mining Interesting Subgroups with Sampling and Pseudodimension. 2130-2139 - Mrinmaya Sachan, Eric P. Xing:
Parsing to Programs: A Framework for Situated QA. 2140-2149 - Seyed-Vahid Sanei-Mehri, Ahmet Erdem Sariyüce, Srikanta Tirthapura:
Butterfly Counting in Bipartite Networks. 2150-2159 - Seiya Satoh, Yoshinobu Takahashi, Hiroshi Yamakawa:
Accelerated Equivalence Structure Extraction via Pairwise Incremental Search. 2160-2169 - Ying Shan, Jian Jiao, Jie Zhu
, J. C. Mao:
Recurrent Binary Embedding for GPU-Enabled Exhaustive Retrieval from Billion-Scale Semantic Vectors. 2170-2179 - Jiaming Shen, Zeqiu Wu, Dongming Lei, Chao Zhang
, Xiang Ren, Michelle T. Vanni, Brian M. Sadler
, Jiawei Han:
HiExpan: Task-Guided Taxonomy Construction by Hierarchical Tree Expansion. 2180-2189 - Yu Shi, Qi Zhu, Fang Guo, Chao Zhang
, Jiawei Han:
Easing Embedding Learning by Comprehensive Transcription of Heterogeneous Information Networks. 2190-2199 - Md Amran Siddiqui, Alan Fern, Thomas G. Dietterich, Ryan Wright, Alec Theriault, David W. Archer:
Feedback-Guided Anomaly Discovery via Online Optimization. 2200-2209 - Alban Siffer, Pierre-Alain Fouque
, Alexandre Termier, Christine Largouët:
Are your data gathered? 2210-2218 - Ashudeep Singh, Thorsten Joachims:
Fairness of Exposure in Rankings. 2219-2228 - Dongjin Song, Ning Xia, Wei Cheng, Haifeng Chen, Dacheng Tao:
Deep r -th Root of Rank Supervised Joint Binary Embedding for Multivariate Time Series Retrieval. 2229-2238 - Till Speicher, Hoda Heidari, Nina Grgic-Hlaca
, Krishna P. Gummadi
, Adish Singla
, Adrian Weller, Muhammad Bilal Zafar:
A Unified Approach to Quantifying Algorithmic Unfairness: Measuring Individual &Group Unfairness via Inequality Indices. 2239-2248 - Lichao Sun
, Weiran Huang
, Philip S. Yu, Wei Chen
:
Multi-Round Influence Maximization. 2249-2258 - Mengying Sun, Inci M. Baytas, Liang Zhan, Zhangyang Wang, Jiayu Zhou:
Subspace Network: Deep Multi-Task Censored Regression for Modeling Neurodegenerative Diseases. 2259-2268 - Ying Sun, Hengshu Zhu
, Fuzhen Zhuang, Jingjing Gu, Qing He:
Exploring the Urban Region-of-Interest through the Analysis of Online Map Search Queries. 2269-2278 - Charles Sutton, Timothy Hobson, James Geddes, Rich Caruana:
Data Diff: Interpretable, Executable Summaries of Changes in Distributions for Data Wrangling. 2279-2288 - Jiaxi Tang, Ke Wang:
Ranking Distillation: Learning Compact Ranking Models With High Performance for Recommender System. 2289-2298 - Yi Tay, Luu Anh Tuan, Siu Cheung Hui:
Multi-Cast Attention Networks. 2299-2308 - Yi Tay, Anh Tuan Luu, Siu Cheung Hui:
Multi-Pointer Co-Attention Networks for Recommendation. 2309-2318 - Daniel Ting:
Count-Min: Optimal Estimation and Tight Error Bounds using Empirical Error Distributions. 2319-2328 - Kai Ming Ting, Yue Zhu, Zhi-Hua Zhou:
Isolation Kernel and Its Effect on SVM. 2329-2337 - Federico Tomasi, Veronica Tozzo, Saverio Salzo
, Alessandro Verri:
Latent Variable Time-varying Network Inference. 2338-2346 - Anton Tsitsulin
, Davide Mottin
, Panagiotis Karras, Alexander M. Bronstein, Emmanuel Müller:
NetLSD: Hearing the Shape of a Graph. 2347-2356 - Ke Tu, Peng Cui, Xiao Wang, Philip S. Yu, Wenwu Zhu:
Deep Recursive Network Embedding with Regular Equivalence. 2357-2366 - Jan N. van Rijn, Frank Hutter:
Hyperparameter Importance Across Datasets. 2367-2376 - Thomas Vandal, Evan Kodra, Jennifer G. Dy, Sangram Ganguly, Ramakrishna R. Nemani, Auroop R. Ganguly:
Quantifying Uncertainty in Discrete-Continuous and Skewed Data with Bayesian Deep Learning. 2377-2386 - Chi Wang, Kaushik Chakrabarti:
Efficient Attribute Recommendation with Probabilistic Guarantee. 2387-2396 - Daheng Wang
, Meng Jiang, Qingkai Zeng, Zachary Eberhart, Nitesh V. Chawla
:
Multi-Type Itemset Embedding for Learning Behavior Success. 2397-2406 - Ji Wang, Jianguo Zhang, Weidong Bao, Xiaomin Zhu, Bokai Cao, Philip S. Yu:
Not Just Privacy: Improving Performance of Private Deep Learning in Mobile Cloud. 2407-2416 - Jiaxuan Wang, Jeeheh Oh, Haozhu Wang
, Jenna Wiens:
Learning Credible Models. 2417-2426 - Jing Wang, Min-Ling Zhang
:
Towards Mitigating the Class-Imbalance Problem for Partial Label Learning. 2427-2436 - Jingyuan Wang, Ze Wang, Jianfeng Li, Junjie Wu:
Multilevel Wavelet Decomposition Network for Interpretable Time Series Analysis. 2437-2446 - Lu Wang, Wei Zhang, Xiaofeng He, Hongyuan Zha:
Supervised Reinforcement Learning with Recurrent Neural Network for Dynamic Treatment Recommendation. 2447-2456 - Pengyang Wang, Yanjie Fu, Jiawei Zhang, Pengfei Wang
, Yu Zheng, Charu C. Aggarwal:
You Are How You Drive: Peer and Temporal-Aware Representation Learning for Driving Behavior Analysis. 2457-2466 - Qinyong Wang, Hongzhi Yin
, Zhiting Hu, Defu Lian
, Hao Wang, Zi Huang
:
Neural Memory Streaming Recommender Networks with Adversarial Training. 2467-2475 - Yunhe Wang, Chang Xu
, Jiayan Qiu, Chao Xu, Dacheng Tao:
Towards Evolutionary Compression. 2476-2485 - Zhengyang Wang, Shuiwang Ji
:
Smoothed Dilated Convolutions for Improved Dense Prediction. 2486-2495 - Hua Wei, Guanjie Zheng, Huaxiu Yao, Zhenhui Li:
IntelliLight: A Reinforcement Learning Approach for Intelligent Traffic Light Control. 2496-2505 - Lingfei Wu, Pin-Yu Chen, Ian En-Hsu Yen, Fangli Xu, Yinglong Xia, Charu C. Aggarwal:
Scalable Spectral Clustering Using Random Binning Features. 2506-2515 - Weichang Wu, Junchi Yan, Xiaokang Yang, Hongyuan Zha:
Decoupled Learning for Factorial Marked Temporal Point Processes. 2516-2525 - Wush Chi-Hsuan Wu, Mi-Yen Yeh
, Ming-Syan Chen:
Deep Censored Learning of the Winning Price in the Real Time Bidding. 2526-2535 - Yongkai Wu
, Lu Zhang, Xintao Wu
:
On Discrimination Discovery and Removal in Ranked Data using Causal Graph. 2536-2544 - Miao Xie, Zhe Jiang
, Arpan Man Sainju
:
Geographical Hidden Markov Tree for Flood Extent Mapping. 2545-2554 - Jie Xu, Lei Luo, Cheng Deng
, Heng Huang:
New Robust Metric Learning Model Using Maximum Correntropy Criterion. 2555-2564 - Yanbo Xu, Siddharth Biswal, Shriprasad R. Deshpande, Kevin O. Maher, Jimeng Sun
:
RAIM: Recurrent Attentive and Intensive Model of Multimodal Patient Monitoring Data. 2565-2573 - Rui Yan, Dongyan Zhao:
Coupled Context Modeling for Deep Chit-Chat: Towards Conversations between Human and Computer. 2574-2583 - Tong Yang, Junzhi Gong, Haowei Zhang, Lei Zou, Lei Shi, Xiaoming Li:
HeavyGuardian: Separate and Guard Hot Items in Data Streams. 2584-2593 - Yang Yang, Yi-Feng Wu, De-Chuan Zhan, Zhi-Bin Liu, Yuan Jiang:
Complex Object Classification: A Multi-Modal Multi-Instance Multi-Label Deep Network with Optimal Transport. 2594-2603 - Ali Batuhan Yardim, Victor Kristof, Lucas Maystre, Matthias Grossglauser:
Can Who-Edits-What Predict Edit Survival? 2604-2613 - Abdurrahman Yasar, Ümit V. Çatalyürek:
An Iterative Global Structure-Assisted Labeled Network Aligner. 2614-2623 - Zeyang Ye, Lihao Zhang, Keli Xiao, Wenjun Zhou
, Yong Ge, Yuefan Deng:
Multi-User Mobile Sequential Recommendation: An Efficient Parallel Computing Paradigm. 2624-2633 - Jianhua Yin
, Daren Chao, Zhongkun Liu, Wei Zhang, Xiaohui Yu
, Jianyong Wang:
Model-based Clustering of Short Text Streams. 2634-2642 - Yu Yin
, Zhenya Huang, Enhong Chen, Qi Liu, Fuzheng Zhang, Xing Xie
, Guoping Hu:
Transcribing Content from Structural Images with Spotlight Mechanism. 2643-2652 - Tomoki Yoshida, Ichiro Takeuchi, Masayuki Karasuyama:
Safe Triplet Screening for Distance Metric Learning. 2653-2662 - Wenchao Yu, Cheng Zheng
, Wei Cheng, Charu C. Aggarwal, Dongjin Song, Bo Zong, Haifeng Chen, Wei Wang
:
Learning Deep Network Representations with Adversarially Regularized Autoencoders. 2663-2671 - Wenchao Yu, Wei Cheng, Charu C. Aggarwal, Kai Zhang, Haifeng Chen, Wei Wang
:
NetWalk: A Flexible Deep Embedding Approach for Anomaly Detection in Dynamic Networks. 2672-2681 - Chengxi Zang, Peng Cui, Wenwu Zhu:
Learning and Interpreting Complex Distributions in Empirical Data. 2682-2691 - Bang Zhang, Lelin Zhang
, Ting Guo
, Yang Wang
, Fang Chen
:
Simultaneous Urban Region Function Discovery and Popularity Estimation via an Infinite Urbanization Process Model. 2692-2700 - Chao Zhang
, Fangbo Tao, Xiusi Chen, Jiaming Shen, Meng Jiang, Brian M. Sadler
, Michelle Vanni, Jiawei Han:
TaxoGen: Unsupervised Topic Taxonomy Construction by Adaptive Term Embedding and Clustering. 2701-2709 - Chen Zhang, Yijun Wang, Can Chen, Changying Du, Hongzhi Yin
, Hao Wang:
StockAssIstant: A Stock AI Assistant for Reliability Modeling of Stock Comments. 2710-2719 - Chenwei Zhang, Yaliang Li, Nan Du, Wei Fan, Philip S. Yu:
On the Generative Discovery of Structured Medical Knowledge. 2720-2728 - Hengtong Zhang, Yaliang Li, Fenglong Ma, Jing Gao, Lu Su:
TextTruth: An Unsupervised Approach to Discover Trustworthy Information from Multi-Sourced Text Data. 2729-2737 - Jing Zhang, Xindong Wu:
Multi-Label Inference for Crowdsourcing. 2738-2747 - Ping Zhang, Zhifeng Bao
, Yuchen Li
, Guoliang Li, Yipeng Zhang, Zhiyong Peng:
Trajectory-driven Influential Billboard Placement. 2748-2757 - Yan Zhang
, Haoyu Wang, Defu Lian
, Ivor W. Tsang
, Hongzhi Yin
, Guowu Yang:
Discrete Ranking-based Matrix Factorization with Self-Paced Learning. 2758-2767 - Yifan Zhang, Peilin Zhao, Jiezhang Cao
, Wenye Ma, Junzhou Huang
, Qingyao Wu, Mingkui Tan:
Online Adaptive Asymmetric Active Learning for Budgeted Imbalanced Data. 2768-2777 - Ziwei Zhang, Peng Cui, Xiao Wang, Jian Pei
, Xuanrong Yao, Wenwu Zhu:
Arbitrary-Order Proximity Preserved Network Embedding. 2778-2786 - Liang Zhao, Amir Alipour-Fanid, Martin Slawski, Kai Zeng
:
Prediction-time Efficient Classification Using Feature Computational Dependencies. 2787-2796 - Yan Zhao, Shuo Shang, Yu Wang, Bolong Zheng, Quoc Viet Hung Nguyen
, Kai Zheng:
REST: A Reference-based Framework for Spatio-temporal Trajectory Compression. 2797-2806 - Dawei Zhou, Jingrui He, Hongxia Yang, Wei Fan:
SPARC: Self-Paced Network Representation for Few-Shot Rare Category Characterization. 2807-2816 - Yao Zhou, Arun Reddy Nelakurthi, Jingrui He:
Unlearn What You Have Learned: Adaptive Crowd Teaching with Exponentially Decayed Memory Learners. 2817-2826 - Dingyuan Zhu, Peng Cui, Daixin Wang, Wenwu Zhu:
Deep Variational Network Embedding in Wasserstein Space. 2827-2836 - Hongyuan Zhu, Qi Liu, Nicholas Jing Yuan, Chuan Qin
, Jiawei Li, Kun Zhang, Guang Zhou, Furu Wei, Yuanchun Xu, Enhong Chen:
XiaoIce Band: A Melody and Arrangement Generation Framework for Pop Music. 2837-2846 - Daniel Zügner, Amir Akbarnejad, Stephan Günnemann:
Adversarial Attacks on Neural Networks for Graph Data. 2847-2856 - Yuan Zuo, Guannan Liu, Hao Lin
, Jia Guo, Xiaoqian Hu, Junjie Wu:
Embedding Temporal Network via Neighborhood Formation. 2857-2866
Applied Invited Talks
- John M. Abowd:
The U.S. Census Bureau Adopts Differential Privacy. 2867 - Mayur Datar:
Data Science at Flipkart - An Indian E-Commerce company. 2868 - Xin Luna Dong:
Challenges and Innovations in Building a Product Knowledge Graph. 2869 - Li Fan:
The Pinterest Approach to Machine Learning. 2870 - James Hodson
:
Humans, Jobs, and the Economy: The Future of Finance in the Age of Big Data. 2871 - Foster J. Provost, James Hodson
, Jeannette M. Wing, Qiang Yang, Jennifer Neville:
Societal Impact of Data Science and Artificial Intelligence. 2872-2873 - Hema Raghavan:
Building Near Realtime Contextual Recommendations for Active Communities on LinkedIn. 2874 - Suju Rajan:
Computational Advertising at Scale. 2875 - Christopher Ré:
Software 2.0 and Snorkel: Beyond Hand-Labeled Data. 2876 - Joseph Sirosh:
Planet-Scale Land Cover Classification with FPGAs. 2877 - Alex Smola:
Algorithms, Data, Hardware and Tools: A Perfect Storm. 2878 - Jen Walraven:
Data Science and Entertainment Production. 2879 - Eric P. Xing:
SysML: On System and Algorithm Co-design for Practical Machine Learning. 2880
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