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