kdd2019.md

KDD2019 Paper List

论文	作者	组织	摘要	翻译	代码	引用数
Optuna: A Next-generation Hyperparameter Optimization Framework	Takuya Akiba, Shotaro Sano, Toshihiko Yanase, Takeru Ohta, Masanori Koyama				code	976
KGAT: Knowledge Graph Attention Network for Recommendation	Xiang Wang, Xiangnan He, Yixin Cao, Meng Liu, TatSeng Chua				code	678
Heterogeneous Graph Neural Network	Chuxu Zhang, Dongjin Song, Chao Huang, Ananthram Swami, Nitesh V. Chawla				code	418
Cluster-GCN: An Efficient Algorithm for Training Deep and Large Graph Convolutional Networks	WeiLin Chiang, Xuanqing Liu, Si Si, Yang Li, Samy Bengio, ChoJui Hsieh				code	363
Auto-Keras: An Efficient Neural Architecture Search System	Haifeng Jin, Qingquan Song, Xia Hu				code	322
Robust Anomaly Detection for Multivariate Time Series through Stochastic Recurrent Neural Network	Ya Su, Youjian Zhao, Chenhao Niu, Rong Liu, Wei Sun, Dan Pei				code	271
Urban Traffic Prediction from Spatio-Temporal Data Using Deep Meta Learning	Zheyi Pan, Yuxuan Liang, Weifeng Wang, Yong Yu, Yu Zheng, Junbo Zhang				code	216
Knowledge-aware Graph Neural Networks with Label Smoothness Regularization for Recommender Systems	Hongwei Wang, Fuzheng Zhang, Mengdi Zhang, Jure Leskovec, Miao Zhao, Wenjie Li, Zhongyuan Wang				code	203
dEFEND: Explainable Fake News Detection	Kai Shu, Limeng Cui, Suhang Wang, Dongwon Lee, Huan Liu				code	202
Representation Learning for Attributed Multiplex Heterogeneous Network	Yukuo Cen, Xu Zou, Jianwei Zhang, Hongxia Yang, Jingren Zhou, Jie Tang				code	199
Predicting Dynamic Embedding Trajectory in Temporal Interaction Networks	Srijan Kumar, Xikun Zhang, Jure Leskovec				code	173
Time-Series Anomaly Detection Service at Microsoft	Hansheng Ren, Bixiong Xu, Yujing Wang, Chao Yi, Congrui Huang, Xiaoyu Kou, Tony Xing, Mao Yang, Jie Tong, Qi Zhang				code	158
Metapath-guided Heterogeneous Graph Neural Network for Intent Recommendation	Shaohua Fan, Junxiong Zhu, Xiaotian Han, Chuan Shi, Linmei Hu, Biyu Ma, Yongliang Li				code	137
Fairness-Aware Ranking in Search & Recommendation Systems with Application to LinkedIn Talent Search	Sahin Cem Geyik, Stuart Ambler, Krishnaram Kenthapadi				code	121
Graph Convolutional Networks with EigenPooling	Yao Ma, Suhang Wang, Charu C. Aggarwal, Jiliang Tang				code	112
Fairness in Recommendation Ranking through Pairwise Comparisons	Alex Beutel, Jilin Chen, Tulsee Doshi, Hai Qian, Li Wei, Yi Wu, Lukasz Heldt, Zhe Zhao, Lichan Hong, Ed H. Chi, Cristos Goodrow				code	109
Deep Anomaly Detection with Deviation Networks	Guansong Pang, Chunhua Shen, Anton van den Hengel				code	102
Origin-Destination Matrix Prediction via Graph Convolution: a New Perspective of Passenger Demand Modeling	Yuandong Wang, Hongzhi Yin, Hongxu Chen, Tianyu Wo, Jie Xu, Kai Zheng				code	101
NPA: Neural News Recommendation with Personalized Attention	Chuhan Wu, Fangzhao Wu, Mingxiao An, Jianqiang Huang, Yongfeng Huang, Xing Xie				code	99
MeLU: Meta-Learned User Preference Estimator for Cold-Start Recommendation	Hoyeop Lee, Jinbae Im, Seongwon Jang, Hyunsouk Cho, Sehee Chung				code	99
Robust Graph Convolutional Networks Against Adversarial Attacks	Dingyuan Zhu, Ziwei Zhang, Peng Cui, Wenwu Zhu				code	96
Hierarchical Gating Networks for Sequential Recommendation	Chen Ma, Peng Kang, Xue Liu				code	90
PressLight: Learning Max Pressure Control to Coordinate Traffic Signals in Arterial Network	Hua Wei, Chacha Chen, Guanjie Zheng, Kan Wu, Vikash V. Gayah, Kai Xu, Zhenhui Li				code	87
Practice on Long Sequential User Behavior Modeling for Click-Through Rate Prediction	Qi Pi, Weijie Bian, Guorui Zhou, Xiaoqiang Zhu, Kun Gai				code	84
Reinforcement Learning to Optimize Long-term User Engagement in Recommender Systems	Lixin Zou, Long Xia, Zhuoye Ding, Jiaxing Song, Weidong Liu, Dawei Yin				code	84
Adversarial Learning on Heterogeneous Information Networks	Binbin Hu, Yuan Fang, Chuan Shi				code	81
A Deep Value-network Based Approach for Multi-Driver Order Dispatching	Xiaocheng Tang, Zhiwei (Tony) Qin, Fan Zhang, Zhaodong Wang, Zhe Xu, Yintai Ma, Hongtu Zhu, Jieping Ye				code	77
DEMO-Net: Degree-specific Graph Neural Networks for Node and Graph Classification	Jun Wu, Jingrui He, Jiejun Xu				code	74
Streaming Session-based Recommendation	Lei Guo, Hongzhi Yin, Qinyong Wang, Tong Chen, Alexander Zhou, Nguyen Quoc Viet Hung				code	73
Multi-Horizon Time Series Forecasting with Temporal Attention Learning	Chenyou Fan, Yuze Zhang, Yi Pan, Xiaoyue Li, Chi Zhang, Rong Yuan, Di Wu, Wensheng Wang, Jian Pei, Heng Huang				code	73
IntentGC: A Scalable Graph Convolution Framework Fusing Heterogeneous Information for Recommendation	Jun Zhao, Zhou Zhou, Ziyu Guan, Wei Zhao, Wei Ning, Guang Qiu, Xiaofei He				code	70
Mathematical Notions vs. Human Perception of Fairness: A Descriptive Approach to Fairness for Machine Learning	Megha Srivastava, Hoda Heidari, Andreas Krause				code	69
DAML: Dual Attention Mutual Learning between Ratings and Reviews for Item Recommendation	Donghua Liu, Jing Li, Bo Du, Jun Chang, Rong Gao				code	64
UrbanFM: Inferring Fine-Grained Urban Flows	Yuxuan Liang, Kun Ouyang, Lin Jing, Sijie Ruan, Ye Liu, Junbo Zhang, David S. Rosenblum, Yu Zheng				code	63
GCN-MF: Disease-Gene Association Identification By Graph Convolutional Networks and Matrix Factorization	Peng Han, Peng Yang, Peilin Zhao, Shuo Shang, Yong Liu, Jiayu Zhou, Xin Gao, Panos Kalnis				code	61
Actions Speak Louder than Goals: Valuing Player Actions in Soccer	Tom Decroos, Lotte Bransen, Jan Van Haaren, Jesse Davis				code	61
FDML: A Collaborative Machine Learning Framework for Distributed Features	Yaochen Hu, Di Niu, Jianming Yang, Shengping Zhou				code	60
Developing Measures of Cognitive Impairment in the Real World from Consumer-Grade Multimodal Sensor Streams	Richard Chen, Filip Jankovic, Nikki Marinsek, Luca Foschini, Lampros Kourtis, Alessio Signorini, Melissa Pugh, Jie Shen, Roy Yaari, Vera Maljkovic, Marc Sunga, Han Hee Song, Hyun Joon Jung, Belle L. Tseng, Andrew Trister				code	59
Chainer: A Deep Learning Framework for Accelerating the Research Cycle	Seiya Tokui, Ryosuke Okuta, Takuya Akiba, Yusuke Niitani, Toru Ogawa, Shunta Saito, Shuji Suzuki, Kota Uenishi, Brian Vogel, Hiroyuki Yamazaki Vincent				code	58
Co-Prediction of Multiple Transportation Demands Based on Deep Spatio-Temporal Neural Network	Junchen Ye, Leilei Sun, Bowen Du, Yanjie Fu, Xinran Tong, Hui Xiong				code	58
Facebook Disaster Maps: Aggregate Insights for Crisis Response & Recovery	Paige Maas				code	57
POG: Personalized Outfit Generation for Fashion Recommendation at Alibaba iFashion	Wen Chen, Pipei Huang, Jiaming Xu, Xin Guo, Cheng Guo, Fei Sun, Chao Li, Andreas Pfadler, Huan Zhao, Binqiang Zhao				code	56
Sherlock: A Deep Learning Approach to Semantic Data Type Detection	Madelon Hulsebos, Kevin Zeng Hu, Michiel A. Bakker, Emanuel Zgraggen, Arvind Satyanarayan, Tim Kraska, Çagatay Demiralp, César A. Hidalgo				code	56
MCNE: An End-to-End Framework for Learning Multiple Conditional Network Representations of Social Network	Hao Wang, Tong Xu, Qi Liu, Defu Lian, Enhong Chen, Dongfang Du, Han Wu, Wen Su				code	54
Modeling Extreme Events in Time Series Prediction	Daizong Ding, Mi Zhang, Xudong Pan, Min Yang, Xiangnan He				code	54
AliGraph: A Comprehensive Graph Neural Network Platform	Hongxia Yang				code	54
TF-Ranking: Scalable TensorFlow Library for Learning-to-Rank	Rama Kumar Pasumarthi, Sebastian Bruch, Xuanhui Wang, Cheng Li, Michael Bendersky, Marc Najork, Jan Pfeifer, Nadav Golbandi, Rohan Anil, Stephan Wolf				code	51
Graph Transformation Policy Network for Chemical Reaction Prediction	Kien Do, Truyen Tran, Svetha Venkatesh				code	51
K-Multiple-Means: A Multiple-Means Clustering Method with Specified K Clusters	Feiping Nie, ChengLong Wang, Xuelong Li				code	50
Two-Sided Fairness for Repeated Matchings in Two-Sided Markets: A Case Study of a Ride-Hailing Platform	Tom Sühr, Asia J. Biega, Meike Zehlike, Krishna P. Gummadi, Abhijnan Chakraborty				code	48
150 Successful Machine Learning Models: 6 Lessons Learned at Booking.com	Lucas Bernardi, Themistoklis Mavridis, Pablo Estevez				code	48
MOBIUS: Towards the Next Generation of Query-Ad Matching in Baidu's Sponsored Search	Miao Fan, Jiacheng Guo, Shuai Zhu, Shuo Miao, Mingming Sun, Ping Li				code	46
OBOE: Collaborative Filtering for AutoML Model Selection	Chengrun Yang, Yuji Akimoto, Dae Won Kim, Madeleine Udell				code	46
Graph Recurrent Networks With Attributed Random Walks	Xiao Huang, Qingquan Song, Yuening Li, Xia Hu				code	46
Explainable AI in Industry	Krishna Gade, Sahin Cem Geyik, Krishnaram Kenthapadi, Varun Mithal, Ankur Taly				code	46
DeepGBM: A Deep Learning Framework Distilled by GBDT for Online Prediction Tasks	Guolin Ke, Zhenhui Xu, Jia Zhang, Jiang Bian, TieYan Liu				code	45
Gmail Smart Compose: Real-Time Assisted Writing	Mia Xu Chen, Benjamin N. Lee, Gagan Bansal, Yuan Cao, Shuyuan Zhang, Justin Lu, Jackie Tsay, Yinan Wang, Andrew M. Dai, Zhifeng Chen, Timothy Sohn, Yonghui Wu				code	45
ProGAN: Network Embedding via Proximity Generative Adversarial Network	Hongchang Gao, Jian Pei, Heng Huang				code	44
Universal Representation Learning of Knowledge Bases by Jointly Embedding Instances and Ontological Concepts	Junheng Hao, Muhao Chen, Wenchao Yu, Yizhou Sun, Wei Wang				code	44
Deep Uncertainty Quantification: A Machine Learning Approach for Weather Forecasting	Bin Wang, Jie Lu, Zheng Yan, Huaishao Luo, Tianrui Li, Yu Zheng, Guangquan Zhang				code	44
AKUPM: Attention-Enhanced Knowledge-Aware User Preference Model for Recommendation	Xiaoli Tang, Tengyun Wang, Haizhi Yang, Hengjie Song				code	43
EdMot: An Edge Enhancement Approach for Motif-aware Community Detection	PeiZhen Li, Ling Huang, ChangDong Wang, JianHuang Lai				code	43
DeepUrbanEvent: A System for Predicting Citywide Crowd Dynamics at Big Events	Renhe Jiang, Xuan Song, Dou Huang, Xiaoya Song, Tianqi Xia, Zekun Cai, Zhaonan Wang, KyoungSook Kim, Ryosuke Shibasaki				code	43
Pythia: AI-assisted Code Completion System	Alexey Svyatkovskiy, Ying Zhao, Shengyu Fu, Neel Sundaresan				code	43
MetaPred: Meta-Learning for Clinical Risk Prediction with Limited Patient Electronic Health Records	Xi Sheryl Zhang, Fengyi Tang, Hiroko H. Dodge, Jiayu Zhou, Fei Wang				code	41
Estimating Node Importance in Knowledge Graphs Using Graph Neural Networks	Namyong Park, Andrey Kan, Xin Luna Dong, Tong Zhao, Christos Faloutsos				code	41
Real-time Event Detection on Social Data Streams	Mateusz Fedoryszak, Brent Frederick, Vijay Rajaram, Changtao Zhong				code	40
Certifiable Robustness and Robust Training for Graph Convolutional Networks	Daniel Zügner, Stephan Günnemann				code	40
Interpretable and Steerable Sequence Learning via Prototypes	Yao Ming, Panpan Xu, Huamin Qu, Liu Ren				code	40
Exploiting Cognitive Structure for Adaptive Learning	Qi Liu, Shiwei Tong, Chuanren Liu, Hongke Zhao, Enhong Chen, Haiping Ma, Shijin Wang				code	39
Online Purchase Prediction via Multi-Scale Modeling of Behavior Dynamics	Chao Huang, Xian Wu, Xuchao Zhang, Chuxu Zhang, Jiashu Zhao, Dawei Yin, Nitesh V. Chawla				code	38
Detecting Anomalies in Space using Multivariate Convolutional LSTM with Mixtures of Probabilistic PCA	Shahroz Tariq, Sangyup Lee, Youjin Shin, Myeong Shin Lee, Okchul Jung, Daewon Chung, Simon S. Woo				code	38
Buying or Browsing?: Predicting Real-time Purchasing Intent using Attention-based Deep Network with Multiple Behavior	Long Guo, Lifeng Hua, Rongfei Jia, Binqiang Zhao, Xiaobo Wang, Bin Cui				code	37
Learning Dynamic Context Graphs for Predicting Social Events	Songgaojun Deng, Huzefa Rangwala, Yue Ning				code	37
AlphaStock: A Buying-Winners-and-Selling-Losers Investment Strategy using Interpretable Deep Reinforcement Attention Networks	Jingyuan Wang, Yang Zhang, Ke Tang, Junjie Wu, Zhang Xiong				code	37
Sequential Scenario-Specific Meta Learner for Online Recommendation	Zhengxiao Du, Xiaowei Wang, Hongxia Yang, Jingren Zhou, Jie Tang				code	36
Topic-Enhanced Memory Networks for Personalised Point-of-Interest Recommendation	Xiao Zhou, Cecilia Mascolo, Zhongxiang Zhao				code	36
Enhancing Collaborative Filtering with Generative Augmentation	Qinyong Wang, Hongzhi Yin, Hao Wang, Quoc Viet Hung Nguyen, Zi Huang, Lizhen Cui				code	36
E.T.-RNN: Applying Deep Learning to Credit Loan Applications	Dmitrii Babaev, Maxim Savchenko, Alexander Tuzhilin, Dmitrii Umerenkov				code	36
Empowering A* Search Algorithms with Neural Networks for Personalized Route Recommendation	Jingyuan Wang, Ning Wu, Wayne Xin Zhao, Fanzhang Peng, Xin Lin				code	35
Towards Knowledge-Based Personalized Product Description Generation in E-commerce	Qibin Chen, Junyang Lin, Yichang Zhang, Hongxia Yang, Jingren Zhou, Jie Tang				code	35
Predicting Path Failure In Time-Evolving Graphs	Jia Li, Zhichao Han, Hong Cheng, Jiao Su, Pengyun Wang, Jianfeng Zhang, Lujia Pan				code	34
Adversarial Substructured Representation Learning for Mobile User Profiling	Pengyang Wang, Yanjie Fu, Hui Xiong, Xiaolin Li				code	33
Investment Behaviors Can Tell What Inside: Exploring Stock Intrinsic Properties for Stock Trend Prediction	Chi Chen, Li Zhao, Jiang Bian, Chunxiao Xing, TieYan Liu				code	32
A Hierarchical Career-Path-Aware Neural Network for Job Mobility Prediction	Qingxin Meng, Hengshu Zhu, Keli Xiao, Le Zhang, Hui Xiong				code	32
Auditing Data Provenance in Text-Generation Models	Congzheng Song, Vitaly Shmatikov				code	32
Fast and Accurate Anomaly Detection in Dynamic Graphs with a Two-Pronged Approach	Minji Yoon, Bryan Hooi, Kijung Shin, Christos Faloutsos				code	32
Efficient Maximum Clique Computation over Large Sparse Graphs	Lijun Chang				code	31
Graph-based Semi-Supervised & Active Learning for Edge Flows	Junteng Jia, Michael T. Schaub, Santiago Segarra, Austin R. Benson				code	31
AutoCross: Automatic Feature Crossing for Tabular Data in Real-World Applications	Yuanfei Luo, Mengshuo Wang, Hao Zhou, Quanming Yao, WeiWei Tu, Yuqiang Chen, Wenyuan Dai, Qiang Yang				code	31
Community Detection on Large Complex Attribute Network	Chen Zhe, Aixin Sun, Xiaokui Xiao				code	31
Hydra: A Personalized and Context-Aware Multi-Modal Transportation Recommendation System	Hao Liu, Yongxin Tong, Panpan Zhang, Xinjiang Lu, Jianguo Duan, Hui Xiong				code	30
FoodAI: Food Image Recognition via Deep Learning for Smart Food Logging	Doyen Sahoo, Wang Hao, Shu Ke, Xiongwei Wu, Hung Le, Palakorn Achananuparp, EePeng Lim, Steven C. H. Hoi				code	30
OAG: Toward Linking Large-scale Heterogeneous Entity Graphs	Fanjin Zhang, Xiao Liu, Jie Tang, Yuxiao Dong, Peiran Yao, Jie Zhang, Xiaotao Gu, Yan Wang, Bin Shao, Rui Li, Kuansan Wang				code	29
Applying Deep Learning to Airbnb Search	Malay Haldar, Mustafa Abdool, Prashant Ramanathan, Tao Xu, Shulin Yang, Huizhong Duan, Qing Zhang, Nick BarrowWilliams, Bradley C. Turnbull, Brendan M. Collins, Thomas Legrand				code	28
Sets2Sets: Learning from Sequential Sets with Neural Networks	Haoji Hu, Xiangnan He				code	28
Adaptive Graph Guided Disambiguation for Partial Label Learning	DengBao Wang, Li Li, MinLing Zhang				code	28
Dual Sequential Prediction Models Linking Sequential Recommendation and Information Dissemination	Qitian Wu, Yirui Gao, Xiaofeng Gao, Paul Weng, Guihai Chen				code	27
Semantic Product Search	Priyanka Nigam, Yiwei Song, Vijai Mohan, Vihan Lakshman, Weitian Allen Ding, Ankit Shingavi, Choon Hui Teo, Hao Gu, Bing Yin				code	27
Effective and Efficient Reuse of Past Travel Behavior for Route Recommendation	Lisi Chen, Shuo Shang, Christian S. Jensen, Bin Yao, Zhiwei Zhang, Ling Shao				code	27
EpiDeep: Exploiting Embeddings for Epidemic Forecasting	Bijaya Adhikari, Xinfeng Xu, Naren Ramakrishnan, B. Aditya Prakash				code	27
GroupINN: Grouping-based Interpretable Neural Network for Classification of Limited, Noisy Brain Data	Yujun Yan, Jiong Zhu, Marlena Duda, Eric Solarz, Chandra Sekhar Sripada, Danai Koutra				code	27
Deep Spatio-Temporal Neural Networks for Click-Through Rate Prediction	Wentao Ouyang, Xiuwu Zhang, Li Li, Heng Zou, Xin Xing, Zhaojie Liu, Yanlong Du				code	26
Interview Choice Reveals Your Preference on the Market: To Improve Job-Resume Matching through Profiling Memories	Rui Yan, Ran Le, Yang Song, Tao Zhang, Xiangliang Zhang, Dongyan Zhao				code	26
Revisiting kd-tree for Nearest Neighbor Search	Parikshit Ram, Kaushik Sinha				code	26
Bid Optimization by Multivariable Control in Display Advertising	Xun Yang, Yasong Li, Hao Wang, Di Wu, Qing Tan, Jian Xu, Kun Gai				code	26
Machine Learning at Microsoft with ML.NET	Zeeshan Ahmed, Saeed Amizadeh, Mikhail Bilenko, Rogan Carr, WeiSheng Chin, Yael Dekel, Xavier Dupré, Vadim Eksarevskiy, Senja Filipi, Tom Finley, Abhishek Goswami, Monte Hoover, Scott Inglis, Matteo Interlandi, Najeeb Kazmi, Gleb Krivosheev, Pete Luferenko, Ivan Matantsev, Sergiy Matusevych, Shahab Moradi, Gani Nazirov, Justin Ormont, Gal Oshri, Artidoro Pagnoni, Jignesh Parmar, Prabhat Roy, Mohammad Zeeshan Siddiqui, Markus Weimer, Shauheen Zahirazami, Yiwen Zhu				code	26
Characterizing and Forecasting User Engagement with In-App Action Graph: A Case Study of Snapchat	Yozen Liu, Xiaolin Shi, Lucas Pierce, Xiang Ren				code	25
Stability and Generalization of Graph Convolutional Neural Networks	Saurabh Verma, ZhiLi Zhang				code	25
Sequential Anomaly Detection using Inverse Reinforcement Learning	Minhwan Oh, Garud Iyengar				code	24
Unifying Inter-region Autocorrelation and Intra-region Structures for Spatial Embedding via Collective Adversarial Learning	Yunchao Zhang, Yanjie Fu, Pengyang Wang, Xiaolin Li, Yu Zheng				code	24
Improving Subseasonal Forecasting in the Western U.S. with Machine Learning	Jessica Hwang, Paulo Orenstein, Judah Cohen, Karl Pfeiffer, Lester Mackey				code	24
Precipitation Nowcasting with Satellite Imagery	Vadim Lebedev, Vladimir Ivashkin, Irina Rudenko, Alexander Ganshin, Alexander Molchanov, Sergey Ovcharenko, Ruslan Grokhovetskiy, Ivan Bushmarinov, Dmitry Solomentsev				code	24
Exact-K Recommendation via Maximal Clique Optimization	Yu Gong, Yu Zhu, Lu Duan, Qingwen Liu, Ziyu Guan, Fei Sun, Wenwu Ou, Kenny Q. Zhu				code	23
Multiple Relational Attention Network for Multi-task Learning	Jiejie Zhao, Bowen Du, Leilei Sun, Fuzhen Zhuang, Weifeng Lv, Hui Xiong				code	23
NodeSketch: Highly-Efficient Graph Embeddings via Recursive Sketching	Dingqi Yang, Paolo Rosso, Bin Li, Philippe CudréMauroux				code	23
Adaptive Deep Models for Incremental Learning: Considering Capacity Scalability and Sustainability	Yang Yang, DaWei Zhou, DeChuan Zhan, Hui Xiong, Yuan Jiang				code	23
Assessing The Factual Accuracy of Generated Text	Ben Goodrich, Vinay Rao, Peter J. Liu, Mohammad Saleh				code	23
Ambulatory Atrial Fibrillation Monitoring Using Wearable Photoplethysmography with Deep Learning	Yichen Shen, Maxime Voisin, Alireza Aliamiri, Anand Avati, Awni Y. Hannun, Andrew Y. Ng				code	23
DuerQuiz: A Personalized Question Recommender System for Intelligent Job Interview	Chuan Qin, Hengshu Zhu, Chen Zhu, Tong Xu, Fuzhen Zhuang, Chao Ma, Jingshuai Zhang, Hui Xiong				code	22
AutoNE: Hyperparameter Optimization for Massive Network Embedding	Ke Tu, Jianxin Ma, Peng Cui, Jian Pei, Wenwu Zhu				code	22
Multi-task Recurrent Neural Networks and Higher-order Markov Random Fields for Stock Price Movement Prediction: Multi-task RNN and Higer-order MRFs for Stock Price Classification	Chang Li, Dongjin Song, Dacheng Tao				code	22
Scalable Graph Embeddings via Sparse Transpose Proximities	Yuan Yin, Zhewei Wei				code	22
Fake News Research: Theories, Detection Strategies, and Open Problems	Reza Zafarani, Xinyi Zhou, Kai Shu, Huan Liu				code	22
Temporal Probabilistic Profiles for Sepsis Prediction in the ICU	Eitam Sheetrit, Nir Nissim, Denis Klimov, Yuval Shahar				code	22
Understanding Consumer Journey using Attention based Recurrent Neural Networks	Yichao Zhou, Shaunak Mishra, Jelena Gligorijevic, Tarun Bhatia, Narayan Bhamidipati				code	22
A Visual Dialog Augmented Interactive Recommender System	Tong Yu, Yilin Shen, Hongxia Jin				code	21
Deep Mixture Point Processes: Spatio-temporal Event Prediction with Rich Contextual Information	Maya Okawa, Tomoharu Iwata, Takeshi Kurashima, Yusuke Tanaka, Hiroyuki Toda, Naonori Ueda				code	21
Gradient-based Hierarchical Clustering using Continuous Representations of Trees in Hyperbolic Space	Nicholas Monath, Manzil Zaheer, Daniel Silva, Andrew McCallum, Amr Ahmed				code	21
Graph Representation Learning via Hard and Channel-Wise Attention Networks	Hongyang Gao, Shuiwang Ji				code	21
Predicting Economic Development using Geolocated Wikipedia Articles	Evan Sheehan, Chenlin Meng, Matthew Tan, Burak Uzkent, Neal Jean, Marshall Burke, David B. Lobell, Stefano Ermon				code	21
Environment Reconstruction with Hidden Confounders for Reinforcement Learning based Recommendation	Wenjie Shang, Yang Yu, Qingyang Li, Zhiwei (Tony) Qin, Yiping Meng, Jieping Ye				code	20
Social Recommendation with Optimal Limited Attention	Xin Wang, Wenwu Zhu, Chenghao Liu				code	20
A Representation Learning Framework for Property Graphs	Yifan Hou, Hongzhi Chen, Changji Li, James Cheng, MingChang Yang				code	20
A Minimax Game for Instance based Selective Transfer Learning	Bo Wang, Minghui Qiu, Xisen Wang, Yaliang Li, Yu Gong, Xiaoyi Zeng, Jun Huang, Bo Zheng, Deng Cai, Jingren Zhou				code	20
Conditional Random Field Enhanced Graph Convolutional Neural Networks	Hongchang Gao, Jian Pei, Heng Huang				code	20
A User-Centered Concept Mining System for Query and Document Understanding at Tencent	Bang Liu, Weidong Guo, Di Niu, Chaoyue Wang, Shunnan Xu, Jinghong Lin, Kunfeng Lai, Yu Xu				code	19
Is a Single Vector Enough?: Exploring Node Polysemy for Network Embedding	Ninghao Liu, Qiaoyu Tan, Yuening Li, Hongxia Yang, Jingren Zhou, Xia Hu				code	19
Using Twitter to Predict When Vulnerabilities will be Exploited	Haipeng Chen, Rui Liu, Noseong Park, V. S. Subrahmanian				code	19
Clustering without Over-Representation	Sara Ahmadian, Alessandro Epasto, Ravi Kumar, Mohammad Mahdian				code	19
Link Prediction with Signed Latent Factors in Signed Social Networks	Pinghua Xu, Wenbin Hu, Jia Wu, Bo Du				code	19
Automatic Dialogue Summary Generation for Customer Service	Chunyi Liu, Peng Wang, Jiang Xu, Zang Li, Jieping Ye				code	19
DeepHoops: Evaluating Micro-Actions in Basketball Using Deep Feature Representations of Spatio-Temporal Data	Anthony Sicilia, Konstantinos Pelechrinis, Kirk Goldsberry				code	19
Investigate Transitions into Drug Addiction through Text Mining of Reddit Data	John Lu, Sumati Sridhar, Ritika Pandey, Mohammad Al Hasan, George O. Mohler				code	19
Mining Temporal Networks	Polina Rozenshtein, Aristides Gionis				code	19
Investigating Cognitive Effects in Session-level Search User Satisfaction	Mengyang Liu, Jiaxin Mao, Yiqun Liu, Min Zhang, Shaoping Ma				code	18
Adversarial Variational Embedding for Robust Semi-supervised Learning	Xiang Zhang, Lina Yao, Feng Yuan				code	18
Individualized Indicator for All: Stock-wise Technical Indicator Optimization with Stock Embedding	Zhige Li, Derek Yang, Li Zhao, Jiang Bian, Tao Qin, TieYan Liu				code	18
Real-time Attention Based Look-alike Model for Recommender System	Yudan Liu, Kaikai Ge, Xu Zhang, Leyu Lin				code	18
A Generalized Framework for Population Based Training	Ang Li, Ola Spyra, Sagi Perel, Valentin Dalibard, Max Jaderberg, Chenjie Gu, David Budden, Tim Harley, Pramod Gupta				code	18
Beyond Personalization: Social Content Recommendation for Creator Equality and Consumer Satisfaction	Wenyi Xiao, Huan Zhao, Haojie Pan, Yangqiu Song, Vincent W. Zheng, Qiang Yang				code	17
Effective and Efficient Sports Play Retrieval with Deep Representation Learning	Zheng Wang, Cheng Long, Gao Cong, Ce Ju				code	17
Hidden POI Ranking with Spatial Crowdsourcing	Yue Cui, Liwei Deng, Yan Zhao, Bin Yao, Vincent W. Zheng, Kai Zheng				code	17
Automating Feature Subspace Exploration via Multi-Agent Reinforcement Learning	Kunpeng Liu, Yanjie Fu, Pengfei Wang, Le Wu, Rui Bo, Xiaolin Li				code	17
DeepRoof: A Data-driven Approach For Solar Potential Estimation Using Rooftop Imagery	Stephen Lee, Srinivasan Iyengar, Menghong Feng, Prashant J. Shenoy, Subhransu Maji				code	17
Adaptive Unsupervised Feature Selection on Attributed Networks	Jundong Li, Ruocheng Guo, Chenghao Liu, Huan Liu				code	17
CoSTCo: A Neural Tensor Completion Model for Sparse Tensors	Hanpeng Liu, Yaguang Li, Michael Tsang, Yan Liu				code	17
AccuAir: Winning Solution to Air Quality Prediction for KDD Cup 2018	Zhipeng Luo, Jianqiang Huang, Ke Hu, Xue Li, Peng Zhang				code	17
IRNet: A General Purpose Deep Residual Regression Framework for Materials Discovery	Dipendra Jha, Logan T. Ward, Zijiang Yang, Christopher Wolverton, Ian T. Foster, Weikeng Liao, Alok N. Choudhary, Ankit Agrawal				code	17
Learning a Unified Embedding for Visual Search at Pinterest	Andrew Zhai, HaoYu Wu, Eric Tzeng, Dong Huk Park, Charles Rosenberg				code	16
ADMM for Efficient Deep Learning with Global Convergence	Junxiang Wang, Fuxun Yu, Xiang Chen, Liang Zhao				code	16
Paper Matching with Local Fairness Constraints	Ari Kobren, Barna Saha, Andrew McCallum				code	16
Generating Better Search Engine Text Advertisements with Deep Reinforcement Learning	J. Weston Hughes, Kenghao Chang, Ruofei Zhang				code	16
Sequence Multi-task Learning to Forecast Mental Wellbeing from Sparse Self-reported Data	Dimitris Spathis, Sandra Servia Rodríguez, Katayoun Farrahi, Cecilia Mascolo, Jason Rentfrow				code	16
A Memory-Efficient Sketch Method for Estimating High Similarities in Streaming Sets	Pinghui Wang, Yiyan Qi, Yuanming Zhang, Qiaozhu Zhai, Chenxu Wang, John C. S. Lui, Xiaohong Guan				code	16
Optimizing Impression Counts for Outdoor Advertising	Yipeng Zhang, Yuchen Li, Zhifeng Bao, Songsong Mo, Ping Zhang				code	16
PrivPy: General and Scalable Privacy-Preserving Data Mining	Yi Li, Wei Xu				code	16
λOpt: Learn to Regularize Recommender Models in Finer Levels	Yihong Chen, Bei Chen, Xiangnan He, Chen Gao, Yong Li, JianGuang Lou, Yue Wang				code	15
Anomaly Detection for an E-commerce Pricing System	Jagdish Ramakrishnan, Elham Shaabani, Chao Li, Mátyás A. Sustik				code	15
Disambiguation Enabled Linear Discriminant Analysis for Partial Label Dimensionality Reduction	JingHan Wu, MinLing Zhang				code	15
Efficient and Effective Express via Contextual Cooperative Reinforcement Learning	Yexin Li, Yu Zheng, Qiang Yang				code	15
Incorporating Interpretability into Latent Factor Models via Fast Influence Analysis	Weiyu Cheng, Yanyan Shen, Linpeng Huang, Yanmin Zhu				code	15
Learning from Incomplete and Inaccurate Supervision	Zhenyu Zhang, Peng Zhao, Yuan Jiang, ZhiHua Zhou				code	15
Active Deep Learning for Activity Recognition with Context Aware Annotator Selection	H. M. Sajjad Hossain, Nirmalya Roy				code	15
Latent Network Summarization: Bridging Network Embedding and Summarization	Di Jin, Ryan A. Rossi, Eunyee Koh, Sungchul Kim, Anup Rao, Danai Koutra				code	14
Robust Task Grouping with Representative Tasks for Clustered Multi-Task Learning	Yaqiang Yao, Jie Cao, Huanhuan Chen				code	14
Real-World Product Deployment of Adaptive Push Notification Scheduling on Smartphones	Tadashi Okoshi, Kota Tsubouchi, Hideyuki Tokuda				code	14
SPuManTE: Significant Pattern Mining with Unconditional Testing	Leonardo Pellegrina, Matteo Riondato, Fabio Vandin				code	14
The Impact of Person-Organization Fit on Talent Management: A Structure-Aware Convolutional Neural Network Approach	Ying Sun, Fuzhen Zhuang, Hengshu Zhu, Xin Song, Qing He, Hui Xiong				code	14
The Role of: A Novel Scientific Knowledge Graph Representation and Construction Model	Tianwen Jiang, Tong Zhao, Bing Qin, Ting Liu, Nitesh V. Chawla, Meng Jiang				code	14
Diagnosing Sample Ratio Mismatch in Online Controlled Experiments: A Taxonomy and Rules of Thumb for Practitioners	Aleksander Fabijan, Jayant Gupchup, Somit Gupta, Jeff Omhover, Wen Qin, Lukas Vermeer, Pavel A. Dmitriev				code	13
A Collaborative Learning Framework to Tag Refinement for Points of Interest	Jingbo Zhou, Shan Gou, Renjun Hu, Dongxiang Zhang, Jin Xu, Airong Jiang, Ying Li, Hui Xiong				code	13
Scalable Global Alignment Graph Kernel Using Random Features: From Node Embedding to Graph Embedding	Lingfei Wu, Ian EnHsu Yen, Zhen Zhang, Kun Xu, Liang Zhao, Xi Peng, Yinglong Xia, Charu C. Aggarwal				code	13
Short and Long-term Pattern Discovery Over Large-Scale Geo-Spatiotemporal Data	Sobhan Moosavi, Mohammad Hossein Samavatian, Arnab Nandi, Srinivasan Parthasarathy, Rajiv Ramnath				code	13
Shrinkage Estimators in Online Experiments	Drew Dimmery, Eytan Bakshy, Jasjeet Sekhon				code	13
Hard to Park?: Estimating Parking Difficulty at Scale	Neha Arora, James Cook, Ravi Kumar, Ivan Kuznetsov, Yechen Li, HuaiJen Liang, Andrew Miller, Andrew Tomkins, Iveel Tsogsuren, Yi Wang				code	13
Axiomatic Interpretability for Multiclass Additive Models	Xuezhou Zhang, Sarah Tan, Paul Koch, Yin Lou, Urszula Chajewska, Rich Caruana				code	13
Dynamic Pricing for Airline Ancillaries with Customer Context	Naman Shukla, Arinbjörn Kolbeinsson, Ken Otwell, Lavanya Marla, Kartik Yellepeddi				code	13
How to Invest my Time: Lessons from Human-in-the-Loop Entity Extraction	Shanshan Zhang, Lihong He, Eduard C. Dragut, Slobodan Vucetic				code	13
LightNet: A Dual Spatiotemporal Encoder Network Model for Lightning Prediction	Yangliao Geng, Qingyong Li, Tianyang Lin, Lei Jiang, Liangtao Xu, Dong Zheng, Wen Yao, Weitao Lyu, Yijun Zhang				code	13
Combining Decision Trees and Neural Networks for Learning-to-Rank in Personal Search	Pan Li, Zhen Qin, Xuanhui Wang, Donald Metzler				code	12
Predicting Different Types of Conversions with Multi-Task Learning in Online Advertising	Junwei Pan, Yizhi Mao, Alfonso Lobos Ruiz, Yu Sun, Aaron Flores				code	12
Improving the Quality of Explanations with Local Embedding Perturbations	Yunzhe Jia, James Bailey, Kotagiri Ramamohanarao, Christopher Leckie, Michael E. Houle				code	12
Factorization Bandits for Online Influence Maximization	Qingyun Wu, Zhige Li, Huazheng Wang, Wei Chen, Hongning Wang				code	12
Adaptive-Halting Policy Network for Early Classification	Thomas Hartvigsen, Cansu Sen, Xiangnan Kong, Elke A. Rundensteiner				code	12
AtSNE: Efficient and Robust Visualization on GPU through Hierarchical Optimization	Cong Fu, Yonghui Zhang, Deng Cai, Xiang Ren				code	12
Hypothesis Generation From Text Based On Co-Evolution Of Biomedical Concepts	Kishlay Jha, Guangxu Xun, Yaqing Wang, Aidong Zhang				code	12
Time Critic Policy Gradient Methods for Traffic Signal Control in Complex and Congested Scenarios	Stefano Giovanni Rizzo, Giovanna Vantini, Sanjay Chawla				code	12
Deep Natural Language Processing for Search and Recommender Systems	Weiwei Guo, Huiji Gao, Jun Shi, Bo Long, Liang Zhang, BeeChung Chen, Deepak Agarwal				code	11
Deep Landscape Forecasting for Real-time Bidding Advertising	Kan Ren, Jiarui Qin, Lei Zheng, Zhengyu Yang, Weinan Zhang, Yong Yu				code	11
Relation Extraction via Domain-aware Transfer Learning	Shimin Di, Yanyan Shen, Lei Chen				code	11
Finding Users Who Act Alike: Transfer Learning for Expanding Advertiser Audiences	Stephanie deWet, Jiafan Ou				code	11
Social Skill Validation at LinkedIn	Xiao Yan, Jaewon Yang, Mikhail Obukhov, Lin Zhu, Joey Bai, Shiqi Wu, Qi He				code	11
Hypothesis Testing and Statistically-sound Pattern Mining	Leonardo Pellegrina, Matteo Riondato, Fabio Vandin				code	11
Hierarchical Multi-Task Word Embedding Learning for Synonym Prediction	Hongliang Fei, Shulong Tan, Ping Li				code	10
MediaRank: Computational Ranking of Online News Sources	Junting Ye, Steven Skiena				code	10
Three-Dimensional Stable Matching Problem for Spatial Crowdsourcing Platforms	Boyang Li, Yurong Cheng, Ye Yuan, Guoren Wang, Lei Chen				code	10
The Secret Lives of Names?: Name Embeddings from Social Media	Junting Ye, Steven Skiena				code	10
Coresets for Minimum Enclosing Balls over Sliding Windows	Yanhao Wang, Yuchen Li, KianLee Tan				code	10
Isolation Set-Kernel and Its Application to Multi-Instance Learning	BiCun Xu, Kai Ming Ting, ZhiHua Zhou				code	10
Scalable Hierarchical Clustering with Tree Grafting	Nicholas Monath, Ari Kobren, Akshay Krishnamurthy, Michael R. Glass, Andrew McCallum				code	10
Learning to Prescribe Interventions for Tuberculosis Patients Using Digital Adherence Data	Jackson A. Killian, Bryan Wilder, Amit Sharma, Vinod Choudhary, Bistra Dilkina, Milind Tambe				code	10
Smart Roles: Inferring Professional Roles in Email Networks	Di Jin, Mark Heimann, Tara Safavi, Mengdi Wang, Wei Lee, Lindsay Snider, Danai Koutra				code	10
Unsupervised Clinical Language Translation	WeiHung Weng, YuAn Chung, Peter Szolovits				code	10
Modeling and Applications for Temporal Point Processes	Junchi Yan, Hongteng Xu, Liangda Li				code	10
Fighting Opinion Control in Social Networks via Link Recommendation	Victor Amelkin, Ambuj K. Singh				code	9
State-Sharing Sparse Hidden Markov Models for Personalized Sequences	Hongzhi Shi, Chao Zhang, Quanming Yao, Yong Li, Funing Sun, Depeng Jin				code	9
Adversarial Matching of Dark Net Market Vendor Accounts	Xiao Hui Tai, Kyle Soska, Nicolas Christin				code	9
Estimating Graphlet Statistics via Lifting	Kirill Paramonov, Dmitry Shemetov, James Sharpnack				code	9
Riker: Mining Rich Keyword Representations for Interpretable Product Question Answering	Jie Zhao, Ziyu Guan, Huan Sun				code	9
Online Amnestic DTW to allow Real-Time Golden Batch Monitoring	ChinChia Michael Yeh, Yan Zhu, Hoang Anh Dau, Amirali Darvishzadeh, Mikhail Noskov, Eamonn J. Keogh				code	9
Mining Algorithm Roadmap in Scientific Publications	Hanwen Zha, Wenhu Chen, Keqian Li, Xifeng Yan				code	9
A Unified Framework for Marketing Budget Allocation	Kui Zhao, Junhao Hua, Ling Yan, Qi Zhang, Huan Xu, Cheng Yang				code	9
Blending Noisy Social Media Signals with Traditional Movement Variables to Predict Forced Migration	Lisa Singh, Laila Wahedi, Yanchen Wang, Yifang Wei, Christo Kirov, Susan Martin, Katharine Donato, Yaguang Liu, Kornraphop Kawintiranon				code	9
Retaining Privileged Information for Multi-Task Learning	Fengyi Tang, Cao Xiao, Fei Wang, Jiayu Zhou, LiWei H. Lehman				code	8
Dynamic Modeling and Forecasting of Time-evolving Data Streams	Yasuko Matsubara, Yasushi Sakurai				code	8
MinJoin: Efficient Edit Similarity Joins via Local Hash Minima	Haoyu Zhang, Qin Zhang				code	8
Regularized Regression for Hierarchical Forecasting Without Unbiasedness Conditions	Souhaib Ben Taieb, Bonsoo Koo				code	8
MVAN: Multi-view Attention Networks for Real Money Trading Detection in Online Games	Jianrong Tao, Jianshi Lin, Shize Zhang, Sha Zhao, Runze Wu, Changjie Fan, Peng Cui				code	8
Towards Sustainable Dairy Management - A Machine Learning Enhanced Method for Estrus Detection	Kevin Fauvel, Véronique Masson, Élisa Fromont, Philippe Faverdin, Alexandre Termier				code	8
Hidden Markov Contour Tree: A Spatial Structured Model for Hydrological Applications	Zhe Jiang, Arpan Man Sainju				code	8
QuesNet: A Unified Representation for Heterogeneous Test Questions	Yu Yin, Qi Liu, Zhenya Huang, Enhong Chen, Wei Tong, Shijin Wang, Yu Su				code	8
SurfCon: Synonym Discovery on Privacy-Aware Clinical Data	Zhen Wang, Xiang Yue, Soheil Moosavinasab, Yungui Huang, Simon M. Lin, Huan Sun				code	8
Whole Page Optimization with Global Constraints	Weicong Ding, Dinesh Govindaraj, S. V. N. Vishwanathan				code	8
AiAds: Automated and Intelligent Advertising System for Sponsored Search	Xiao Yang, Daren Sun, Ruiwei Zhu, Tao Deng, Zhi Guo, Zongyao Ding, Shouke Qin, Yanfeng Zhu				code	7
Coupled Variational Recurrent Collaborative Filtering	Qingquan Song, Shiyu Chang, Xia Hu				code	7
Tensorized Determinantal Point Processes for Recommendation	Romain Warlop, Jérémie Mary, Mike Gartrell				code	7
TUBE: Embedding Behavior Outcomes for Predicting Success	Daheng Wang, Tianwen Jiang, Nitesh V. Chawla, Meng Jiang				code	7
Seasonal-adjustment Based Feature Selection Method for Predicting Epidemic with Large-scale Search Engine Logs	Thien Q. Tran, Jun Sakuma				code	7
Learning Network-to-Network Model for Content-rich Network Embedding	Zhicheng He, Jie Liu, Na Li, Yalou Huang				code	7
Towards Robust and Discriminative Sequential Data Learning: When and How to Perform Adversarial Training?	Xiaowei Jia, Sheng Li, Handong Zhao, Sungchul Kim, Vipin Kumar				code	7
The Identification and Estimation of Direct and Indirect Effects in A/B Tests through Causal Mediation Analysis	Xuan Yin, Liangjie Hong				code	7
Optimizing Peer Learning in Online Groups with Affinities	Mohammadreza Esfandiari, Dong Wei, Sihem AmerYahia, Senjuti Basu Roy				code	7
Scaling Multi-Armed Bandit Algorithms	Edouard Fouché, Junpei Komiyama, Klemens Böhm				code	7
Enabling Onboard Detection of Events of Scientific Interest for the Europa Clipper Spacecraft	Kiri L. Wagstaff, Gary Doran, Ashley Davies, Saadat Anwar, Srija Chakraborty, Marissa Cameron, Ingrid Daubar, Cynthia A. Phillips				code	7
Probabilistic Latent Variable Modeling for Assessing Behavioral Influences on Well-Being	Ehimwenma Nosakhare, Rosalind W. Picard				code	7
Learning Interpretable Metric between Graphs: Convex Formulation and Computation with Graph Mining	Tomoki Yoshida, Ichiro Takeuchi, Masayuki Karasuyama				code	7
Modeling Dwell Time Engagement on Visual Multimedia	Hemank Lamba, Neil Shah				code	7
Network Density of States	Kun Dong, Austin R. Benson, David Bindel				code	7
Training and Meta-Training Binary Neural Networks with Quantum Computing	Abdulah Fawaz, Paul Klein, Sebastien Piat, Simone Severini, Peter Mountney				code	7
Characterizing and Detecting Malicious Accounts in Privacy-Centric Mobile Social Networks: A Case Study	Zenghua Xia, Chang Liu, Neil Zhenqiang Gong, Qi Li, Yong Cui, Dawn Song				code	7
The Error is the Feature: How to Forecast Lightning using a Model Prediction Error	Christian Schön, Jens Dittrich, Richard Müller				code	7
Deep Reinforcement Learning with Applications in Transportation	Zhiwei (Tony) Qin, Jian Tang, Jieping Ye				code	7
Forecasting Big Time Series: Theory and Practice	Christos Faloutsos, Valentin Flunkert, Jan Gasthaus, Tim Januschowski, Yuyang Wang				code	7
A Deep Generative Approach to Search Extrapolation and Recommendation	Fred X. Han, Di Niu, Haolan Chen, Kunfeng Lai, Yancheng He, Yu Xu				code	6
MSURU: Large Scale E-commerce Image Classification with Weakly Supervised Search Data	Yina Tang, Fedor Borisyuk, Siddarth Malreddy, Yixuan Li, Yiqun Liu, Sergey Kirshner				code	6
Fast Approximation of Empirical Entropy via Subsampling	Chi Wang, Bailu Ding				code	6
Log2Intent: Towards Interpretable User Modeling via Recurrent Semantics Memory Unit	Zhiqiang Tao, Sheng Li, Zhaowen Wang, Chen Fang, Longqi Yang, Handong Zhao, Yun Fu				code	6
Sample Adaptive Multiple Kernel Learning for Failure Prediction of Railway Points	Zhibin Li, Jian Zhang, Qiang Wu, Yongshun Gong, Jinfeng Yi, Christina Kirsch				code	6
Do Simpler Models Exist and How Can We Find Them?	Cynthia Rudin				code	6
A Robust Framework for Accelerated Outcome-driven Risk Factor Identification from EHR	Prithwish Chakraborty, Faisal Farooq				code	6
Robust Gaussian Process Regression for Real-Time High Precision GPS Signal Enhancement	Ming Lin, Xiaomin Song, Qi Qian, Hao Li, Liang Sun, Shenghuo Zhu, Rong Jin				code	6
Deep Bayesian Mining, Learning and Understanding	JenTzung Chien				code	6
Infer Implicit Contexts in Real-time Online-to-Offline Recommendation	Xichen Ding, Jie Tang, Tracy Xiao Liu, Cheng Xu, Yaping Zhang, Feng Shi, Qixia Jiang, Dan Shen				code	5
PinText: A Multitask Text Embedding System in Pinterest	Jinfeng Zhuang, Yu Liu				code	5
Predicting Evacuation Decisions using Representations of Individuals' Pre-Disaster Web Search Behavior	Takahiro Yabe, Kota Tsubouchi, Toru Shimizu, Yoshihide Sekimoto, Satish V. Ukkusuri				code	5
Social User Interest Mining: Methods and Applications	Fattane Zarrinkalam, Hossein Fani, Ebrahim Bagheri				code	5
A Permutation Approach to Assess Confounding in Machine Learning Applications for Digital Health	Elias Chaibub Neto, Abhishek Pratap, Thanneer M. Perumal, Meghasyam Tummalacherla, Brian M. Bot, Lara M. Mangravite, Larsson Omberg				code	5
Learning Class-Conditional GANs with Active Sampling	MingKun Xie, ShengJun Huang				code	5
Streaming Adaptation of Deep Forecasting Models using Adaptive Recurrent Units	Prathamesh Deshpande, Sunita Sarawagi				code	5
Focused Context Balancing for Robust Offline Policy Evaluation	Hao Zou, Kun Kuang, Boqi Chen, Peixuan Chen, Peng Cui				code	5
Identifiability of Cause and Effect using Regularized Regression	Alexander Marx, Jilles Vreeken				code	5
Significance of Patterns in Data Visualisations	Rafael Savvides, Andreas Henelius, Emilia Oikarinen, Kai Puolamäki				code	5
Personalized Purchase Prediction of Market Baskets with Wasserstein-Based Sequence Matching	Mathias Kraus, Stefan Feuerriegel				code	4
HATS: A Hierarchical Sequence-Attention Framework for Inductive Set-of-Sets Embeddings	Changping Meng, Jiasen Yang, Bruno Ribeiro, Jennifer Neville				code	4
Real-time On-Device Troubleshooting Recommendation for Smartphones	Keiichi Ochiai, Kohei Senkawa, Naoki Yamamoto, Yuya Tanaka, Yusuke Fukazawa				code	4
Understanding the Role of Style in E-commerce Shopping	Hao Jiang, Aakash Sabharwal, Adam Henderson, Diane Hu, Liangjie Hong				code	4
Large-scale User Visits Understanding and Forecasting with Deep Spatial-Temporal Tensor Factorization Framework	Xiaoyang Ma, Lan Zhang, Lan Xu, Zhicheng Liu, Ge Chen, Zhili Xiao, Yang Wang, Zhengtao Wu				code	4
Discovering Unexpected Local Nonlinear Interactions in Scientific Black-box Models	Michael Doron, Idan Segev, Dafna Shahaf				code	4
Uncovering the Co-driven Mechanism of Social and Content Links in User Churn Phenomena	Yunfei Lu, Linyun Yu, Peng Cui, Chengxi Zang, Renzhe Xu, Yihao Liu, Lei Li, Wenwu Zhu				code	4
Challenges, Best Practices and Pitfalls in Evaluating Results of Online Controlled Experiments	Xiaolin Shi, Pavel A. Dmitriev, Somit Gupta, Xin Fu				code	4
Adversarially Robust Submodular Maximization under Knapsack Constraints	Dmitrii Avdiukhin, Slobodan Mitrovic, Grigory Yaroslavtsev, Samson Zhou				code	4
Scaling Multinomial Logistic Regression via Hybrid Parallelism	Parameswaran Raman, Sriram Srinivasan, Shin Matsushima, Xinhua Zhang, Hyokun Yun, S. V. N. Vishwanathan				code	4
Tackle Balancing Constraint for Incremental Semi-Supervised Support Vector Learning	Shuyang Yu, Bin Gu, Kunpeng Ning, Haiyan Chen, Jian Pei, Heng Huang				code	4
Glaucoma Progression Prediction Using Retinal Thickness via Latent Space Linear Regression	Yuhui Zheng, Linchuan Xu, Taichi Kiwaki, Jing Wang, Hiroshi Murata, Ryo Asaoka, Kenji Yamanishi				code	4
Learning Sleep Quality from Daily Logs	Sungkyu Park, ChengTe Li, Sungwon Han, Cheng Hsu, Sang Won Lee, Meeyoung Cha				code	4
Multi-Relational Classification via Bayesian Ranked Non-Linear Embeddings	Ahmed Rashed, Josif Grabocka, Lars SchmidtThieme				code	3
Enhancing Domain Word Embedding via Latent Semantic Imputation	Shibo Yao, Dantong Yu, Keli Xiao				code	3
Contextual Fact Ranking and Its Applications in Table Synthesis and Compression	Silu Huang, Jialu Liu, Flip Korn, Xuezhi Wang, You Wu, Dale Markowitz, Cong Yu				code	3
Carousel Ads Optimization in Yahoo Gemini Native	Michal Aharon, Oren Somekh, Avi Shahar, Assaf Singer, Baruch Trayvas, Hadas Vogel, Dobri Dobrev				code	3
Quantifying Long Range Dependence in Language and User Behavior to improve RNNs	Francois Belletti, Minmin Chen, Ed H. Chi				code	3
Dual Averaging Method for Online Graph-structured Sparsity	Baojian Zhou, Feng Chen, Yiming Ying				code	3
Recurrent Neural Networks for Stochastic Control in Real-Time Bidding	Nicolas Grislain, Nicolas Perrin, Antoine Thabault				code	3
Integrating Domain-Knowledge into Deep Learning	Ruslan Salakhutdinov				code	3
A Free Energy Based Approach for Distance Metric Learning	Sho Inaba, Carl Tony Fakhry, Rahul V. Kulkarni, Kourosh Zarringhalam				code	3
Attribute-Driven Backbone Discovery	Sheng Guan, Hanchao Ma, Yinghui Wu				code	3
Dynamical Origins of Distribution Functions	Chengxi Zang, Peng Cui, Wenwu Zhu, Fei Wang				code	3
Testing Dynamic Incentive Compatibility in Display Ad Auctions	Yuan Deng, Sébastien Lahaie				code	3
Constructing High Precision Knowledge Bases with Subjective and Factual Attributes	Ari Kobren, Pablo Barrio, Oksana Yakhnenko, Johann Hibschman, Ian Langmore				code	3
Detection of Review Abuse via Semi-Supervised Binary Multi-Target Tensor Decomposition	Anil R. Yelundur, Vineet Chaoji, Bamdev Mishra				code	3
Nostalgin: Extracting 3D City Models from Historical Image Data	Amol Kapoor, Hunter Larco, Raimondas Kiveris				code	3
OCC: A Smart Reply System for Efficient In-App Communications	Yue Weng, Huaixiu Zheng, Franziska Bell, Gökhan Tür				code	3
Randomized Experimental Design via Geographic Clustering	David Rolnick, Kevin Aydin, Jean PougetAbadie, Shahab Kamali, Vahab S. Mirrokni, Amir Najmi				code	3
Towards ML Engineering with TensorFlow Extended (TFX)	Konstantinos Katsiapis, Kevin Haas				code	3
Adaptive Influence Maximization	Bogdan Cautis, Silviu Maniu, Nikolaos Tziortziotis				code	3
Constructing and Mining Heterogeneous Information Networks from Massive Text	Jingbo Shang, Jiaming Shen, Liyuan Liu, Jiawei Han				code	3
Optimizing the Wisdom of the Crowd: Inference, Learning, and Teaching	Yao Zhou, Fenglong Ma, Jing Gao, Jingrui He				code	3
Spatio-temporal Event Forecasting and Precursor Identification	Yue Ning, Liang Zhao, Feng Chen, ChangTien Lu, Huzefa Rangwala				code	3
Figuring out the User in a Few Steps: Bayesian Multifidelity Active Search with Cokriging	Nikita Klyuchnikov, Davide Mottin, Georgia Koutrika, Emmanuel Müller, Panagiotis Karras				code	2
PerDREP: Personalized Drug Effectiveness Prediction from Longitudinal Observational Data	Sanjoy Dey, Ping Zhang, Daby Sow, Kenney Ng				code	2
Estimating Cellular Goals from High-Dimensional Biological Data	Laurence Yang, Michael A. Saunders, JeanChristophe Lachance, Bernhard O. Palsson, José Bento				code	2
Reserve Price Failure Rate Prediction with Header Bidding in Display Advertising	Achir Kalra, Chong Wang, Cristian Borcea, Yi Chen				code	2
TV Advertisement Scheduling by Learning Expert Intentions	Yasuhisa Suzuki, Wemer M. Wee, Itaru Nishioka				code	2
Friends Don't Let Friends Deploy Black-Box Models: The Importance of Intelligibility in Machine Learning	Richard Caruana				code	2
Data Integration and Machine Learning: A Natural Synergy	Xin Luna Dong, Theodoros Rekatsinas				code	2
Gold Panning from the Mess: Rare Category Exploration, Exposition, Representation, and Interpretation	Dawei Zhou, Jingrui He				code	2
Recent Progress in Zeroth Order Optimization and Its Applications to Adversarial Robustness in Data Mining and Machine Learning	PinYu Chen, Sijia Liu				code	2
Fates of Microscopic Social Ecosystems: Keep Alive or Dead?	Haoyang Li, Peng Cui, Chengxi Zang, Tianyang Zhang, Wenwu Zhu, Yishi Lin				code	2
Off-policy Learning for Multiple Loggers	Li He, Long Xia, Wei Zeng, ZhiMing Ma, Yihong Zhao, Dawei Yin				code	2
Separated Trust Regions Policy Optimization Method	Luobao Zou, Zhiwei Zhuang, Yin Cheng, Xuechun Wang, Weidong Zhang				code	2
Task-Adversarial Co-Generative Nets	Pei Yang, Qi Tan, Hanghang Tong, Jingrui He				code	2
Uncovering Pattern Formation of Information Flow	Chengxi Zang, Peng Cui, Chaoming Song, Wenwu Zhu, Fei Wang				code	2
A Severity Score for Retinopathy of Prematurity	Peng Tian, Yuan Guo, Jayashree KalpathyCramer, Susan Ostmo, John Peter Campbell, Michael F. Chiang, Jennifer G. Dy, Deniz Erdogmus, Stratis Ioannidis				code	2
Nonparametric Mixture of Sparse Regressions on Spatio-Temporal Data - An Application to Climate Prediction	Yumin Liu, Junxiang Chen, Auroop R. Ganguly, Jennifer G. Dy				code	2
SMOILE: A Shopper Marketing Optimization and Inverse Learning Engine	Abhilash Reddy Chenreddy, Parshan Pakiman, Selvaprabu Nadarajah, Ranganathan Chandrasekaran, Rick Abens				code	2
Structured Noise Detection: Application on Well Test Pressure Derivative Data	Farhan Asif Chowdhury, Satomi Suzuki, Abdullah Mueen				code	2
TrajGuard: A Comprehensive Trajectory Copyright Protection Scheme	Zheyi Pan, Jie Bao, Weinan Zhang, Yong Yu, Yu Zheng				code	2
Interpretable Knowledge Discovery Reinforced by Visual Methods	Boris Kovalerchuk				code	2
Seeker: Real-Time Interactive Search	Ari Biswas, Thai T. Pham, Michael Vogelsong, Benjamin Snyder, Houssam Nassif				code	1
Pairwise Comparisons with Flexible Time-Dynamics	Lucas Maystre, Victor Kristof, Matthias Grossglauser				code	1
Feedback Shaping: A Modeling Approach to Nurture Content Creation	Ye Tu, Chun Lo, Yiping Yuan, Shaunak Chatterjee				code	1
Large-Scale Training Framework for Video Annotation	Seong Jae Hwang, Joonseok Lee, Balakrishnan Varadarajan, Ariel Gordon, Zheng Xu, Apostol Natsev				code	1
Towards Identifying Impacted Users in Cellular Services	Shobha Venkataraman, Jia Wang				code	1
From Code to Data: AI at Scale for Developer Productivity	Neel Sundaresan				code	1
Fairness-Aware Machine Learning: Practical Challenges and Lessons Learned	Sarah Bird, Ben Hutchinson, Krishnaram Kenthapadi, Emre Kiciman, Margaret Mitchell				code	1
Incompleteness in Networks: Biases, Skewed Results, and Some Solutions	Tina EliassiRad, Rajmonda Sulo Caceres, Timothy LaRock				code	1
Statistical Mechanics Methods for Discovering Knowledge from Modern Production Quality Neural Networks	Charles H. Martin, Michael W. Mahoney				code	1
The Unreasonable Effectiveness, and Difficulty, of Data in Healthcare	Peter Lee				code	1
A Multiscale Scan Statistic for Adaptive Submatrix Localization	Yuchao Liu, Ery AriasCastro				code	1
Contrastive Antichains in Hierarchies	Anes Bendimerad, Jefrey Lijffijt, Marc Plantevit, Céline Robardet, Tijl De Bie				code	1
Efficient Global String Kernel with Random Features: Beyond Counting Substructures	Lingfei Wu, Ian EnHsu Yen, Siyu Huo, Liang Zhao, Kun Xu, Liang Ma, Shouling Ji, Charu C. Aggarwal				code	1
ET-Lasso: A New Efficient Tuning of Lasso-type Regularization for High-Dimensional Data	Songshan Yang, Jiawei Wen, Xiang Zhan, Daniel Kifer				code	1
A Data-Driven Approach for Multi-level Packing Problems in Manufacturing Industry	Lei Chen, Xialiang Tong, Mingxuan Yuan, Jia Zeng, Lei Chen				code	1
Context by Proxy: Identifying Contextual Anomalies Using an Output Proxy	JanPhilipp Schulze, Artur Mrowca, Elizabeth Ren, HansAndrea Loeliger, Konstantin Böttinger				code	1
Raise to Speak: An Accurate, Low-power Detector for Activating Voice Assistants on Smartwatches	Shiwen Zhao, Brandt Westing, Shawn Scully, Heri Nieto, Roman Holenstein, Minwoo Jeong, Krishna Sridhar, Brandon Newendorp, Mike Bastian, Sethu Raman, Tim Paek, Kevin Lynch, Carlos Guestrin				code	1
Addressing Challenges in Data Science: Scale, Skill Sets and Complexity	Joseph Bradley				code	1
Building a Better Self-Driving Car: Hardware, Software, and Knowledge	Kumar Chellapilla				code	1
Tutorial: Data Mining Methods for Drug Discovery and Development	Cao Xiao, Jimeng Sun				code	1
Learning From Networks: Algorithms, Theory, and Applications	Xiao Huang, Peng Cui, Yuxiao Dong, Jundong Li, Huan Liu, Jian Pei, Le Song, Jie Tang, Fei Wang, Hongxia Yang, Wenwu Zhu				code	1
Mining and Model Understanding on Medical Data	Myra Spiliopoulou, Panagiotis Papapetrou				code	1
Personalized Attraction Enhanced Sponsored Search with Multi-task Learning	Wei Zhao, Boxuan Zhang, Beidou Wang, Ziyu Guan, Wanxian Guan, Guang Qiu, Wei Ning, Jiming Chen, Hongmin Liu				code	0
Conversion Prediction Using Multi-task Conditional Attention Networks to Support the Creation of Effective Ad Creatives	Shunsuke Kitada, Hitoshi Iyatomi, Yoshifumi Seki				code	0
Ranking in Genealogy: Search Results Fusion at Ancestry	Peng Jiang, Yingrui Yang, Gann Bierner, Fengjie Alex Li, Ruhan Wang, Azadeh Moghtaderi				code	0
Foundations of Large-Scale Sequential Experimentation	Aaditya Ramdas				code	0
Naranjo Question Answering using End-to-End Multi-task Learning Model	Bhanu Pratap Singh Rawat, Fei Li, Hong Yu				code	0
Seven Years of Data Science at Airbnb	Elena Grewal				code	0
4 Perspectives in Human-Centered Machine Learning	Carlos Guestrin				code	0
Preventing Rhino Poaching through Machine Learning	Olga Liakhovich, Gabriel DomínguezConde				code	0
Product Ecosystem Optimization at LinkedIn	Rómer Rosales				code	0
Welfare Maximization in Online Two-sided Marketplaces	Sreenivas Gollapudi				code	0
On Dynamic Network Models and Application to Causal Impact	YuChia Chen, Avleen S. Bijral, Juan Lavista Ferres				code	0
Internal Promotion Optimization	Rupesh Gupta, Guangde Chen, Shipeng Yu				code	0
AI for Small Businesses and Consumers: Applications and Innovations	Ashok Srivastava				code	0
Applications of AI/ML in Established and New Industries	Hassan Sawaf				code	0
Analytics Journey Map: An Approach Enable to ML at Scale	Ganesh Thondikulam				code	0
Data Science Challenges @ LinkedIn	Ya Xu				code	0
Exploiting High Dimensionality in Big Data	David Heckerman				code	0
Earth Observations from a New Generation of Geostationary Satellites	Ramakrishna R. Nemani				code	0
Roll of Unified Graph Analysis Platforms	Yinglong Xia				code	0
Spinning the AI Pinwheel	Jairam Ranganathan				code	0
Transportation: A Data Driven Approach	Jieping Ye				code	0
Advances in Cost-sensitive Multiclass and Multilabel Classification	HsuanTien Lin				code	0
Modern MDL meets Data Mining Insights, Theory, and Practice	Jilles Vreeken, Kenji Yamanishi				code	0
Tutorial: Are You My Neighbor?: Bringing Order to Neighbor Computing Problems	David C. Anastasiu, Huzefa Rangwala, Andrea Tagarelli				code	0