AAAI 2019

1,341 papers

Spatiality Preservable Factored Poisson Regression for Large-Scale Fine-Grained GPS-Based Population Analysis

Masamichi Shimosaka, Yuta Hayakawa, Kota Tsubouchi

The Kelly Growth Optimal Portfolio with Ensemble Learning

Weiwei Shen, Bin Wang, Jian Pu, Jun Wang

GAMENet: Graph Augmented MEmory Networks for Recommending Medication Combination

Junyuan Shang, Cao Xiao, Tengfei Ma, Hongyan Li, Jimeng Sun

PhoneMD: Learning to Diagnose Parkinson’s Disease from Smartphone Data

Patrick Schwab, Walter Karlen

NeVAE: A Deep Generative Model for Molecular Graphs

Bidisha Samanta, Abir De, Gourhari Jana, Pratim Kumar Chattaraj, Niloy Ganguly

Building Causal Graphs from Medical Literature and Electronic Medical Records

Galia Nordon, Gideon Koren, Varda Shalev, Benny Kimelfeld, Uri Shalit

Pathological Evidence Exploration in Deep Retinal Image Diagnosis

Yuhao Niu, Lin Gu, Feng Lu, Feifan Lv, Zongji Wang

Difficulty-Aware Attention Network with Confidence Learning for Medical Image Segmentation

Dong Nie, Li Wang, Lei Xiang, sihang zhou, Ehsan Adeli

Scalable Robust Kidney Exchange

Duncan C McElfresh, Hoda Bidkhori, John P Dickerson

AffinityNet: Semi-Supervised Few-Shot Learning for Disease Type Prediction

Tianle Ma, Aidong Zhang

Play as You Like: Timbre-Enhanced Multi-Modal Music Style Transfer

Chien-Yu Lu, Min-Xin Xue, Chia-Che Chang, Che-Rung Lee, Li Su

Molecular Property Prediction: A Multilevel Quantum Interactions Modeling Perspective

Chengqiang Lu, Qi Liu, Chao Wang, Zhenya Huang, Peize Lin

DeepFuzz: Automatic Generation of Syntax Valid C Programs for Fuzz Testing

Xiao Liu, Xiaoting Li, Rupesh Prajapati, Dinghao Wu

Joint Representation Learning for Multi-Modal Transportation Recommendation

Hao Liu, ting li, Renjun Hu, Yanjie Fu, Jingjing Gu

Perceptual-Sensitive GAN for Generating Adversarial Patches

Aishan Liu, Xianglong Liu, Jiaxin Fan, Yuqing Ma, Anlan Zhang

DeepSTN+: Context-Aware Spatial-Temporal Neural Network for Crowd Flow Prediction in Metropolis

Ziqian Lin, Jie Feng, Ziyang Lu, Yong Li, Depeng Jin

SEGAN: Structure-Enhanced Generative Adversarial Network for Compressed Sensing MRI Reconstruction

Zhongnian Li, Tao Zhang, Peng Wan, Daoqiang Zhang

Learning Heterogeneous Spatial-Temporal Representation for Bike-Sharing Demand Prediction

Youru Li, Zhenfeng Zhu, Deqiang Kong, Meixiang Xu, Yao Zhao

Adversarial Learning for Weakly-Supervised Social Network Alignment

Chaozhuo Li, Senzhang Wang, Yukun Wang, Philip Yu, Yanbo Liang

Traffic Updates: Saying a Lot While Revealing a Little

John Krumm, Eric Horvitz

Crash to Not Crash: Learn to Identify Dangerous Vehicles Using a Simulator

Hoon Kim, Kangwook Lee, Gyeongjo Hwang, Changho Suh

A Memetic Approach for Sequential Security Games on a Plane with Moving Targets

Jan Karwowski, Jacek Mańdziuk, Adam Żychowski, Filip Grajek, Bo An

Connecting the Digital and Physical World: Improving the Robustness of Adversarial Attacks

Steve T.K. Jan, Joseph Messou, Yen-Chen Lin, Jia-Bin Huang, Gang Wang

Combo-Action: Training Agent For FPS Game with Auxiliary Tasks

Shiyu Huang, Hang Su, Jun Zhu, Ting Chen

Cash-Out User Detection Based on Attributed Heterogeneous Information Network with a Hierarchical Attention Mechanism

Binbin Hu, Zhiqiang Zhang, Chuan Shi, Jun Zhou, Xiaolong Li

Exploiting Sentence Embedding for Medical Question Answering

YU HAO, Xien Liu, Ji Wu, Ping Lv

Deep Reinforcement Learning for Syntactic Error Repair in Student Programs

Rahul Gupta, Aditya Kanade, Shirish Shevade

Attention Based Spatial-Temporal Graph Convolutional Networks for Traffic Flow Forecasting

Shengnan Guo, Youfang Lin, Ning Feng, Chao Song, Huaiyu Wan

VidyutVanika: A Reinforcement Learning Based Broker Agent for a Power Trading Competition

Susobhan Ghosh, Easwar Subramanian, Sanjay P. Bhat, Sujit Gujar, Praveen Paruchuri

Efficient Region Embedding with Multi-View Spatial Networks: A Perspective of Locality-Constrained Spatial Autocorrelations

Yanjie Fu, Pengyang Wang, Jiadi Du, Le Wu, Xiaolin Li

Turbo Learning Framework for Human-Object Interactions Recognition and Human Pose Estimation

Wei Feng, Wentao Liu, Tong Li, Jing Peng, Chen Qian

Dynamic Spatial-Temporal Graph Convolutional Neural Networks for Traffic Forecasting

Zulong Diao, Xin Wang, Dafang Zhang, Yingru Liu, Kun Xie

Deriving Subgoals Autonomously to Accelerate Learning in Sparse Reward Domains

Michael Dann, Fabio Zambetta, John Thangarajah

Region-Based Message Exploration over Spatio-Temporal Data Streams

Lisi Chen, Shuo Shang

Synergistic Image and Feature Adaptation: Towards Cross-Modality Domain Adaptation for Medical Image Segmentation

Cheng Chen, Qi Dou, Hao Chen, Jing Qin, Pheng-Ann Heng

Predicting Concrete and Abstract Entities in Modern Poetry

Fiammetta Caccavale, Anders Søgaard

Deep Latent Generative Models for Energy Disaggregation

Gissella Bejarano, David DeFazio, Arti Ramesh

Beyond Speech: Generalizing D-Vectors for Biometric Verification

Jacob Baldwin, Ryan Burnham, Andrew Meyer, Robert Dora, Robert Wright

Adversarial Unsupervised Representation Learning for Activity Time-Series

Karan Aggarwal, Shafiq Joty, Luis Fernandez-Luque, Jaideep Srivastava

Exploiting Time-Series Image-to-Image Translation to Expand the Range of Wildlife Habitat Analysis

Ruobing Zheng, Ze Luo, Baoping Yan

A Neural Multi-Task Learning Framework to Jointly Model Medical Named Entity Recognition and Normalization

Sendong Zhao, Ting Liu, Sicheng Zhao, Fei Wang

Weakly-Supervised Simultaneous Evidence Identification and Segmentation for Automated Glaucoma Diagnosis

Rongchang Zhao, Wangmin Liao, Beiji Zou, Zailiang Chen, Shuo Li

EnsNet: Ensconce Text in the Wild

Shuaitao Zhang, Yuliang Liu, LianWen Jin, Yaoxiong Huang, Songxuan Lai

Detecting Incongruity between News Headline and Body Text via a Deep Hierarchical Encoder

Seunghyun Yoon, Kunwoo Park, Joongbo Shin, Hongjun Lim, Seungpil Won

Zero Shot Learning for Code Education: Rubric Sampling with Deep Learning Inference

Mike Wu, Milan Mosse, Noah Goodman, Chris Piech

DeepETA: A Spatial-Temporal Sequential Neural Network Model for Estimating Time of Arrival in Package Delivery System

Fan Wu, Lixia Wu

Bidirectional Inference Networks:A Class of Deep Bayesian Networks for Health Profiling

Hao Wang, Chengzhi Mao, Hao He, Mingmin Zhao, Tommi S. Jaakkola

Forbidden Nodes Aware Community Search

Chaokun Wang, Junchao Zhu

Knowledge Tracing Machines: Factorization Machines for Knowledge Tracing

Jill-Jenn Vie, Hisashi Kashima

AutoZOOM: Autoencoder-Based Zeroth Order Optimization Method for Attacking Black-Box Neural Networks

Chun-Chen Tu, Paishun Ting, Pin-Yu Chen, Sijia Liu, Huan Zhang

A Study of Educational Data Mining: Evidence from a Thai University

Ruangsak Trakunphutthirak, Yen Cheung, Vincent C. S. Lee

Hotels-50K: A Global Hotel Recognition Dataset

Abby Stylianou, Hong Xuan, Maya Shende, Jonathan Brandt, Richard Souvenir

Axiomatic Characterization of Data-Driven Influence Measures for Classification

Jakub Sliwinski, Martin Strobel, Yair Zick

Learning to Address Health Inequality in the United States with a Bayesian Decision Network

Tavpritesh Sethi, Anant Mittal, Shubham Maheshwari, Samarth Chugh

Multi3Net: Segmenting Flooded Buildings via Fusion of Multiresolution, Multisensor, and Multitemporal Satellite Imagery

Tim G. J. Rudner, Marc Rußwurm, Jakub Fil, Ramona Pelich, Benjamin Bischke

Emergency Department Online Patient-Caregiver Scheduling

Hanan Rosemarin, Ariel Rosenfeld, Sarit Kraus

A Model-Free Affective Reinforcement Learning Approach to Personalization of an Autonomous Social Robot Companion for Early Literacy Education

Hae Won Park, Ishaan Grover, Samuel Spaulding, Louis Gomez, Cynthia Breazeal

Image Aesthetic Assessment Assisted by Attributes through Adversarial Learning

Bowen Pan, Shangfei Wang, Qisheng Jiang

Violence Rating Prediction from Movie Scripts

Victor R. Martinez, Krishna Somandepalli, Karan Singla, Anil Ramakrishna, Yalda T. Uhls

Convex Formulations for Fair Principal Component Analysis

Matt Olfat, Anil Aswani

Who Blames Whom in a Crisis? Detecting Blame Ties from News Articles Using Neural Networks

Shuailong Liang, Olivia Nicol, Yue Zhang

Deep Hierarchical Graph Convolution for Election Prediction from Geospatial Census Data

Mike Li, Elija Perrier, Chang Xu

Latent Dirichlet Allocation for Internet Price War

Chenchen Li, Xiang Yan, Xiaotie Deng, Yuan Qi, Wei Chu

ReAl-LiFE: Accelerating the Discovery of Individualized Brain Connectomes on GPUs

Sawan Kumar, Varsha Sreenivasan, Partha Talukdar, Franco Pestilli, Devarajan Sridharan

Allocating Interventions Based on Predicted Outcomes: A Case Study on Homelessness Services

Amanda Kube, Sanmay Das, Patrick J. Fowler

Algorithms for Estimating Trends in Global Temperature Volatility

Arash Khodadadi, Daniel J. McDonald

Multi-GCN: Graph Convolutional Networks for Multi-View Networks, with Applications to Global Poverty

Muhammad Raza Khan, Joshua E. Blumenstock

Evolutionarily Learning Multi-Aspect Interactions and Influences from Network Structure and Node Content

Songlei Jian, Liang Hu, Longbing Cao, Kai Lu, Hang Gao

CheXpert: A Large Chest Radiograph Dataset with Uncertainty Labels and Expert Comparison

Jeremy Irvin, Pranav Rajpurkar, Michael Ko, Yifan Yu, Silviana Ciurea-Ilcus

Learning Diffusions without Timestamps

Hao Huang, Qian Yan, Ting Gan, Di Niu, Wei Lu

HireNet: A Hierarchical Attention Model for the Automatic Analysis of Asynchronous Video Job Interviews

Léo Hemamou, Ghazi Felhi, Vincent Vandenbussche, Jean-Claude Martin, Chloé Clavel

Selecting Compliant Agents for Opt-in Micro-Tolling

Josiah P. Hanna, Guni Sharon, Stephen D. Boyles, Peter Stone

PGANs: Personalized Generative Adversarial Networks for ECG Synthesis to Improve Patient-Specific Deep ECG Classification

Tomer Golany, Kira Radinsky

Migration as Submodular Optimization

Paul Gölz, Ariel D. Procaccia

Resisting Adversarial Attacks Using Gaussian Mixture Variational Autoencoders

Partha Ghosh, Arpan Losalka, Michael J. Black

Optimal Surveillance of Covert Networks by Minimizing Inverse Geodesic Length

Serge Gaspers, Kamran Najeebullah

Blameworthiness in Multi-Agent Settings

Meir Friedenberg, Joseph Y. Halpern

Understanding Dropouts in MOOCs

Wenzheng Feng, Jie Tang, Tracy Xiao Liu

Bayesian Fairness

Christos Dimitrakakis, Yang Liu, David C. Parkes, Goran Radanovic

Coverage Centrality Maximization in Undirected Networks

Gianlorenzo D’Angelo, Martin Olsen, Lorenzo Severini

Bias Reduction via End-to-End Shift Learning: Application to Citizen Science

Di Chen, Carla P. Gomes

Gated Residual Recurrent Graph Neural Networks for Traffic Prediction

Cen Chen, Kenli Li, Sin G. Teo, Xiaofeng Zou, Kang Wang

Automatic Detection and Compression for Passive Acoustic Monitoring of the African Forest Elephant

Johan Bjorck, Brendan H. Rappazzo, Di Chen, Richard Bernstein, Peter H. Wrege

Predicting Hurricane Trajectories Using a Recurrent Neural Network

Sheila Alemany, Jonathan Beltran, Adrian Perez, Sam Ganzfried

Robust Online Matching with User Arrival Distribution Drift

Yu-Hang Zhou, Chen Liang, Nan Li, Cheng Yang, Shenghuo Zhu

Addressing the Under-Translation Problem from the Entropy Perspective

Yang Zhao, Jiajun Zhang, Chengqing Zong, Zhongjun He, Hua Wu

Regularizing Neural Machine Translation by Target-Bidirectional Agreement

Zhirui Zhang, Shuangzhi Wu, Shujie LIU, Mu Li, Ming Zhou

Hierarchical Reinforcement Learning for Course Recommendation in MOOCs

Jing Zhang, Bowen Hao, Bo Chen, Cuiping Li, Hong Chen

Text Assisted Insight Ranking Using Context-Aware Memory Network

Qi Zeng, Liangchen Luo, Wenhao Huang, Yang Tang

Cross-Relation Cross-Bag Attention for Distantly-Supervised Relation Extraction

Yujin Yuan, Liyuan Liu, Siliang Tang, Zhongfei Zhang, Yueting Zhuang

Data Augmentation Based on Adversarial Autoencoder Handling Imbalance for Learning to Rank

Qian Yu, Wai Lam

TransNFCM: Translation-Based Neural Fashion Compatibility Modeling

Xun Yang, Yunshan Ma, Lizi Liao, Meng Wang, Tat-Seng Chua

Adversarial Training for Community Question Answer Selection Based on Multi-Scale Matching

Xiao Yang, Madian Khabsa, Miaosen Wang, Wei Wang, Ahmed Hassan Awadallah

Context-Aware Self-Attention Networks

Baosong Yang, Jian Li, Derek F. Wong, Lidia S. Chao, Xing Wang

Multi-View Information-Theoretic Co-Clustering for Co-Occurrence Data

Peng Xu, Zhaohong Deng, Kup-Sze Choi, Longbing Cao, Shitong Wang

Multi-Interactive Memory Network for Aspect Based Multimodal Sentiment Analysis

Nan Xu, Wenji Mao, Guandan Chen

Structured and Sparse Annotations for Image Emotion Distribution Learning

Haitao Xiong, Hongfu Liu, Bineng Zhong, Yun Fu

CISI-net: Explicit Latent Content Inference and Imitated Style Rendering for Image Inpainting

Jing Xiao, Liang Liao, Qiegen Liu, Ruimin Hu

Session-Based Recommendation with Graph Neural Networks

Shu Wu, Yuyuan Tang, Yanqiao Zhu, Liang Wang, Xing Xie

Multi-Level Deep Cascade Trees for Conversion Rate Prediction in Recommendation System

Hong Wen, Jing Zhang, Quan Lin, Keping Yang, Pipei Huang