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33rd AAAI 2019: Honolulu, Hawaii, USA
- The Thirty-Third AAAI Conference on Artificial Intelligence, AAAI 2019, The Thirty-First Innovative Applications of Artificial Intelligence Conference, IAAI 2019, The Ninth AAAI Symposium on Educational Advances in Artificial Intelligence, EAAI 2019, Honolulu, Hawaii, USA, January 27 - February 1, 2019. AAAI Press 2019, ISBN 978-1-57735-809-1
AAAI Technical Track: AI and the Web
- Avinash Balakrishnan, Djallel Bouneffouf, Nicholas Mattei, Francesca Rossi:
Incorporating Behavioral Constraints in Online AI Systems. 3-11 - Sambaran Bandyopadhyay, N. Lokesh, M. Narasimha Murty:
Outlier Aware Network Embedding for Attributed Networks. 12-19 - Umanga Bista, Alexander Patrick Mathews, Minjeong Shin, Aditya Krishna Menon, Lexing Xie
:
Comparative Document Summarisation via Classification. 20-28 - Jiaoyan Chen, Ernesto Jiménez-Ruiz, Ian Horrocks, Charles Sutton:
ColNet: Embedding the Semantics of Web Tables for Column Type Prediction. 29-36 - Jin Chen, Defu Lian, Kai Zheng:
Improving One-Class Collaborative Filtering via Ranking-Based Implicit Regularizer. 37-44 - Long Chen, Ziyu Guan, Wei Zhao, Wanqing Zhao
, Xiaopeng Wang, Zhou Zhao, Huan Sun:
Answer Identification from Product Reviews for User Questions by Multi-Task Attentive Networks. 45-52 - Xu Chen, Yongfeng Zhang, Zheng Qin:
Dynamic Explainable Recommendation Based on Neural Attentive Models. 53-60 - Zhi-Hong Deng, Ling Huang, Chang-Dong Wang, Jian-Huang Lai, Philip S. Yu:
DeepCF: A Unified Framework of Representation Learning and Matching Function Learning in Recommender System. 61-68 - Haoyu Dong, Shijie Liu, Shi Han, Zhouyu Fu, Dongmei Zhang:
TableSense: Spreadsheet Table Detection with Convolutional Neural Networks. 69-76 - Tiansi Dong, Zhigang Wang, Juanzi Li, Christian Bauckhage, Armin B. Cremers:
Triple Classification Using Regions and Fine-Grained Entity Typing. 77-85 - Zi-Yi Dou, Zhaopeng Tu, Xing Wang, Longyue Wang, Shuming Shi, Tong Zhang:
Dynamic Layer Aggregation for Neural Machine Translation with Routing-by-Agreement. 86-93 - Wenjing Fu, Zhaohui Peng, Senzhang Wang, Yang Xu, Jin Li:
Deeply Fusing Reviews and Contents for Cold Start Users in Cross-Domain Recommendation Systems. 94-101 - Xiaolong Gong, Linpeng Huang, Fuwei Wang:
Feature Sampling Based Unsupervised Semantic Clustering for Real Web Multi-View Content. 102-109 - Tao Gui, Liang Zhu, Qi Zhang, Minlong Peng, Xu Zhou, Keyu Ding, Zhigang Chen:
Cooperative Multimodal Approach to Depression Detection in Twitter. 110-117 - Jun Guo
, Jiahui Ye:
Anchors Bring Ease: An Embarrassingly Simple Approach to Partial Multi-View Clustering. 118-125 - Zhizhong Han, Mingyang Shang, Xiyang Wang, Yu-Shen Liu, Matthias Zwicker:
Y2Seq2Seq: Cross-Modal Representation Learning for 3D Shape and Text by Joint Reconstruction and Prediction of View and Word Sequences. 126-133 - Shizhu He, Kang Liu, Weiting An:
Learning to Align Question and Answer Utterances in Customer Service Conversation with Recurrent Pointer Networks. 134-141 - Ryu Iida, Canasai Kruengkrai, Ryo Ishida, Kentaro Torisawa, Jong-Hoon Oh, Julien Kloetzer:
Exploiting Background Knowledge in Compact Answer Generation for Why-Questions. 142-151 - Di Jin, Ziyang Liu, Weihao Li, Dongxiao He, Weixiong Zhang:
Graph Convolutional Networks Meet Markov Random Fields: Semi-Supervised Community Detection in Attribute Networks. 152-159 - Di Jin, Xinxin You, Weihao Li, Dongxiao He, Peng Cui, Françoise Fogelman-Soulié, Tanmoy Chakraborty:
Incorporating Network Embedding into Markov Random Field for Better Community Detection. 160-167 - Ricky Laishram, Jeremy D. Wendt, Sucheta Soundarajan:
Crawling the Community Structure of Multiplex Networks. 168-175 - Chao Li, Cheng Deng, Lei Wang, De Xie, Xianglong Liu:
Coupled CycleGAN: Unsupervised Hashing Network for Cross-Modal Retrieval. 176-183 - Xiaoming Li, Hui Fang, Jie Zhang:
Supervised User Ranking in Signed Social Networks. 184-191 - Zeyu Li, Jyun-Yu Jiang, Yizhou Sun, Wei Wang:
Personalized Question Routing via Heterogeneous Network Embedding. 192-199 - Dongliang Liao, Jin Xu, Gongfu Li, Weijie Huang, Weiqing Liu, Jing Li:
Popularity Prediction on Online Articles with Deep Fusion of Temporal Process and Content Features. 200-207 - Chenghao Liu, Xin Wang, Tao Lu, Wenwu Zhu, Jianling Sun, Steven C. H. Hoi:
Discrete Social Recommendation. 208-215 - Jiaqi Ma
, Zhe Zhao, Jilin Chen, Ang Li, Lichan Hong, Ed H. Chi:
SNR: Sub-Network Routing for Flexible Parameter Sharing in Multi-Task Learning. 216-223 - Fandong Meng, Jinchao Zhang:
DTMT: A Novel Deep Transition Architecture for Neural Machine Translation. 224-231 - Jinfeng Rao, Wei Yang, Yuhao Zhang, Ferhan Türe, Jimmy Lin:
Multi-Perspective Relevance Matching with Hierarchical ConvNets for Social Media Search. 232-240 - Shuo Ren, Zhirui Zhang, Shujie Liu, Ming Zhou, Shuai Ma:
Unsupervised Neural Machine Translation with SMT as Posterior Regularization. 241-248 - Jiaming Shen, Ruiliang Lyu, Xiang Ren, Michelle Vanni, Brian M. Sadler
, Jiawei Han:
Mining Entity Synonyms with Efficient Neural Set Generation. 249-256 - Atanu R. Sinha, Deepali Jain, Nikhil Sheoran
, Sopan Khosla, Reshmi Sasidharan:
Surveys without Questions: A Reinforcement Learning Approach. 257-264 - Jiankai Sun, Bortik Bandyopadhyay, Armin Bashizade, Jiongqian Liang, P. Sadayappan, Srinivasan Parthasarathy:
ATP: Directed Graph Embedding with Asymmetric Transitivity Preservation. 265-272 - Xiaoxiao Sun, Liyi Chen, Jufeng Yang:
Learning from Web Data Using Adversarial Discriminative Neural Networks for Fine-Grained Classification. 273-280 - Kunihiro Takeoka, Masafumi Oyamada, Shinji Nakadai, Takeshi Okadome:
Meimei: An Efficient Probabilistic Approach for Semantically Annotating Tables. 281-288 - Zhiwen Tang, Grace Hui Yang:
DeepTileBars: Visualizing Term Distribution for Neural Information Retrieval. 289-296 - Bayu Distiawan Trisedya, Jianzhong Qi, Rui Zhang:
Entity Alignment between Knowledge Graphs Using Attribute Embeddings. 297-304 - Quoc-Tuan Truong, Hady W. Lauw
:
VistaNet: Visual Aspect Attention Network for Multimodal Sentiment Analysis. 305-312 - Chun-Hsiang Wang, Kang-Chun Fan, Chuan-Ju Wang, Ming-Feng Tsai:
UGSD: User Generated Sentiment Dictionaries from Online Customer Reviews. 313-320 - Yingkui Wang, Di Jin, Katarzyna Musial
, Jianwu Dang:
Community Detection in Social Networks Considering Topic Correlations. 321-328 - Zhuo Wang, Weiping Wang, Chaokun Wang, Xiaoyan Gu
, Bo Li, Dan Meng:
Community Focusing: Yet Another Query-Dependent Community Detection. 329-337 - Hong Wen, Jing Zhang
, Quan Lin, Keping Yang, Pipei Huang:
Multi-Level Deep Cascade Trees for Conversion Rate Prediction in Recommendation System. 338-345 - Shu Wu, Yuyuan Tang, Yanqiao Zhu
, Liang Wang, Xing Xie, Tieniu Tan:
Session-Based Recommendation with Graph Neural Networks. 346-353 - Jing Xiao, Liang Liao, Qiegen Liu, Ruimin Hu:
CISI-net: Explicit Latent Content Inference and Imitated Style Rendering for Image Inpainting. 354-362 - Haitao Xiong, Hongfu Liu, Bineng Zhong, Yun Fu:
Structured and Sparse Annotations for Image Emotion Distribution Learning. 363-370 - Nan Xu, Wenji Mao, Guandan Chen:
Multi-Interactive Memory Network for Aspect Based Multimodal Sentiment Analysis. 371-378 - Peng Xu, Zhaohong Deng, Kup-Sze Choi, Longbing Cao
, Shitong Wang:
Multi-View Information-Theoretic Co-Clustering for Co-Occurrence Data. 379-386 - Baosong Yang, Jian Li, Derek F. Wong, Lidia S. Chao, Xing Wang, Zhaopeng Tu:
Context-Aware Self-Attention Networks. 387-394 - Xiao Yang, Madian Khabsa, Miaosen Wang, Wei Wang, Ahmed Hassan Awadallah, Daniel Kifer, C. Lee Giles
:
Adversarial Training for Community Question Answer Selection Based on Multi-Scale Matching. 395-402 - Xun Yang, Yunshan Ma, Lizi Liao
, Meng Wang, Tat-Seng Chua:
TransNFCM: Translation-Based Neural Fashion Compatibility Modeling. 403-410 - Qian Yu, Wai Lam:
Data Augmentation Based on Adversarial Autoencoder Handling Imbalance for Learning to Rank. 411-418 - Yujin Yuan, Liyuan Liu, Siliang Tang, Zhongfei Zhang, Yueting Zhuang, Shiliang Pu, Fei Wu, Xiang Ren:
Cross-Relation Cross-Bag Attention for Distantly-Supervised Relation Extraction. 419-426 - Qi Zeng, Liangchen Luo, Wenhao Huang, Yang Tang:
Text Assisted Insight Ranking Using Context-Aware Memory Network. 427-434 - Jing Zhang, Bowen Hao, Bo Chen, Cuiping Li, Hong Chen, Jimeng Sun:
Hierarchical Reinforcement Learning for Course Recommendation in MOOCs. 435-442 - Zhirui Zhang, Shuangzhi Wu, Shujie Liu, Mu Li, Ming Zhou, Tong Xu:
Regularizing Neural Machine Translation by Target-Bidirectional Agreement. 443-450 - Yang Zhao, Jiajun Zhang, Chengqing Zong
, Zhongjun He, Hua Wu:
Addressing the Under-Translation Problem from the Entropy Perspective. 451-458 - Yu-Hang Zhou, Chen Liang, Nan Li, Cheng Yang, Shenghuo Zhu, Rong Jin:
Robust Online Matching with User Arrival Distribution Drift. 459-466
AAAI Technical Track: AI for Social Impact
- Sheila Alemany, Jonathan Beltran, Adrián Pérez, Sam Ganzfried:
Predicting Hurricane Trajectories Using a Recurrent Neural Network. 468-475 - Johan Bjorck, Brendan H. Rappazzo, Di Chen, Richard Bernstein, Peter H. Wrege, Carla P. Gomes:
Automatic Detection and Compression for Passive Acoustic Monitoring of the African Forest Elephant. 476-484 - Cen Chen, Kenli Li, Sin G. Teo, Xiaofeng Zou, Kang Wang, Jie Wang, Zeng Zeng:
Gated Residual Recurrent Graph Neural Networks for Traffic Prediction. 485-492 - Di Chen, Carla P. Gomes:
Bias Reduction via End-to-End Shift Learning: Application to Citizen Science. 493-500 - Gianlorenzo D'Angelo, Martin Olsen
, Lorenzo Severini:
Coverage Centrality Maximization in Undirected Networks. 501-508 - Christos Dimitrakakis, Yang Liu, David C. Parkes, Goran Radanovic:
Bayesian Fairness. 509-516 - Wenzheng Feng, Jie Tang, Tracy Xiao Liu:
Understanding Dropouts in MOOCs. 517-524 - Meir Friedenberg, Joseph Y. Halpern:
Blameworthiness in Multi-Agent Settings. 525-532 - Serge Gaspers, Kamran Najeebullah:
Optimal Surveillance of Covert Networks by Minimizing Inverse Geodesic Length. 533-540 - Partha Ghosh, Arpan Losalka, Michael J. Black:
Resisting Adversarial Attacks Using Gaussian Mixture Variational Autoencoders. 541-548 - Paul Gölz
, Ariel D. Procaccia:
Migration as Submodular Optimization. 549-556 - Tomer Golany, Kira Radinsky:
PGANs: Personalized Generative Adversarial Networks for ECG Synthesis to Improve Patient-Specific Deep ECG Classification. 557-564 - Josiah P. Hanna, Guni Sharon, Stephen D. Boyles, Peter Stone:
Selecting Compliant Agents for Opt-in Micro-Tolling. 565-572 - Léo Hemamou, Ghazi Felhi, Vincent Vandenbussche, Jean-Claude Martin, Chloé Clavel:
HireNet: A Hierarchical Attention Model for the Automatic Analysis of Asynchronous Video Job Interviews. 573-581 - Hao Huang, Qian Yan, Ting Gan, Di Niu, Wei Lu, Yunjun Gao:
Learning Diffusions without Timestamps. 582-589 - Jeremy Irvin, Pranav Rajpurkar, Michael Ko, Yifan Yu, Silviana Ciurea-Ilcus, Christopher Chute, Henrik Marklund, Behzad Haghgoo, Robyn L. Ball, Katie S. Shpanskaya, Jayne Seekins, David A. Mong, Safwan S. Halabi
, Jesse K. Sandberg, Ricky Jones, David B. Larson, Curtis P. Langlotz, Bhavik N. Patel, Matthew P. Lungren, Andrew Y. Ng:
CheXpert: A Large Chest Radiograph Dataset with Uncertainty Labels and Expert Comparison. 590-597 - Songlei Jian, Liang Hu, Longbing Cao
, Kai Lu, Hang Gao:
Evolutionarily Learning Multi-Aspect Interactions and Influences from Network Structure and Node Content. 598-605 - Muhammad Raza Khan, Joshua E. Blumenstock:
Multi-GCN: Graph Convolutional Networks for Multi-View Networks, with Applications to Global Poverty. 606-613 - Arash Khodadadi, Daniel J. McDonald:
Algorithms for Estimating Trends in Global Temperature Volatility. 614-621 - Amanda R. Kube
, Sanmay Das, Patrick J. Fowler:
Allocating Interventions Based on Predicted Outcomes: A Case Study on Homelessness Services. 622-629 - Sawan Kumar, Varsha Sreenivasan, Partha P. Talukdar, Franco Pestilli
, Devarajan Sridharan:
ReAl-LiFE: Accelerating the Discovery of Individualized Brain Connectomes on GPUs. 630-638 - Chenchen Li, Xiang Yan, Xiaotie Deng, Yuan Qi, Wei Chu, Le Song, Junlong Qiao, Jianshan He, Junwu Xiong:
Latent Dirichlet Allocation for Internet Price War. 639-646 - Mike Li, Elija Perrier, Chang Xu
:
Deep Hierarchical Graph Convolution for Election Prediction from Geospatial Census Data. 647-654 - Shuailong Liang, Olivia Nicol, Yue Zhang:
Who Blames Whom in a Crisis? Detecting Blame Ties from News Articles Using Neural Networks. 655-662 - Matt Olfat, Anil Aswani:
Convex Formulations for Fair Principal Component Analysis. 663-670 - Victor R. Martinez, Krishna Somandepalli, Karan Singla, Anil Ramakrishna, Yalda T. Uhls, Shrikanth S. Narayanan:
Violence Rating Prediction from Movie Scripts. 671-678 - Bowen Pan, Shangfei Wang, Qisheng Jiang:
Image Aesthetic Assessment Assisted by Attributes through Adversarial Learning. 679-686 - Hae Won Park, Ishaan Grover, Samuel Spaulding, Louis Gomez, Cynthia Breazeal:
A Model-Free Affective Reinforcement Learning Approach to Personalization of an Autonomous Social Robot Companion for Early Literacy Education. 687-694 - Hanan Rosemarin, Ariel Rosenfeld, Sarit Kraus:
Emergency Department Online Patient-Caregiver Scheduling. 695-701 - Tim G. J. Rudner, Marc Rußwurm, Jakub Fil, Ramona Pelich, Benjamin Bischke, Veronika Kopacková, Piotr Bilinski:
Multi3Net: Segmenting Flooded Buildings via Fusion of Multiresolution, Multisensor, and Multitemporal Satellite Imagery. 702-709 - Tavpritesh Sethi, Anant Mittal, Shubham Maheshwari, Samarth Chugh:
Learning to Address Health Inequality in the United States with a Bayesian Decision Network. 710-717 - Jakub Sliwinski, Martin Strobel, Yair Zick:
Axiomatic Characterization of Data-Driven Influence Measures for Classification. 718-725 - Abby Stylianou, Hong Xuan, Maya Shende, Jonathan Brandt, Richard Souvenir, Robert Pless:
Hotels-50K: A Global Hotel Recognition Dataset. 726-733 - Ruangsak Trakunphutthirak, Yen Cheung, Vincent C. S. Lee:
A Study of Educational Data Mining: Evidence from a Thai University. 734-741 - Chun-Chen Tu, Pai-Shun Ting, Pin-Yu Chen, Sijia Liu, Huan Zhang, Jinfeng Yi, Cho-Jui Hsieh, Shin-Ming Cheng:
AutoZOOM: Autoencoder-Based Zeroth Order Optimization Method for Attacking Black-Box Neural Networks. 742-749 - Jill-Jênn Vie, Hisashi Kashima:
Knowledge Tracing Machines: Factorization Machines for Knowledge Tracing. 750-757 - Chaokun Wang, Junchao Zhu:
Forbidden Nodes Aware Community Search. 758-765 - Hao Wang, Chengzhi Mao, Hao He, Mingmin Zhao, Tommi S. Jaakkola, Dina Katabi:
Bidirectional Inference Networks: A Class of Deep Bayesian Networks for Health Profiling. 766-773 - Fan Wu, Lixia Wu:
DeepETA: A Spatial-Temporal Sequential Neural Network Model for Estimating Time of Arrival in Package Delivery System. 774-781 - Mike Wu, Milan Mosse, Noah D. Goodman, Chris Piech:
Zero Shot Learning for Code Education: Rubric Sampling with Deep Learning Inference. 782-790 - Seunghyun Yoon, Kunwoo Park
, Joongbo Shin, Hongjun Lim, Seungpil Won, Meeyoung Cha, Kyomin Jung:
Detecting Incongruity between News Headline and Body Text via a Deep Hierarchical Encoder. 791-800 - Shuaitao Zhang, Yuliang Liu, Lianwen Jin, Yaoxiong Huang, Songxuan Lai:
EnsNet: Ensconce Text in the Wild. 801-808 - Rongchang Zhao, Wangmin Liao, Beiji Zou, Zailiang Chen, Shuo Li:
Weakly-Supervised Simultaneous Evidence Identification and Segmentation for Automated Glaucoma Diagnosis. 809-816 - Sendong Zhao, Ting Liu, Sicheng Zhao, Fei Wang:
A Neural Multi-Task Learning Framework to Jointly Model Medical Named Entity Recognition and Normalization. 817-824 - Ruobing Zheng, Ze Luo, Baoping Yan:
Exploiting Time-Series Image-to-Image Translation to Expand the Range of Wildlife Habitat Analysis. 825-832
AAAI Technical Track: Applications
- Karan Aggarwal, Shafiq R. Joty, Luis Fernández-Luque, Jaideep Srivastava:
Adversarial Unsupervised Representation Learning for Activity Time-Series. 834-841 - Jacob Baldwin, Ryan Burnham, Andrew Meyer, Robert Dora, Robert Wright:
Beyond Speech: Generalizing D-Vectors for Biometric Verification. 842-849 - Gissella Bejarano, David DeFazio, Arti Ramesh:
Deep Latent Generative Models for Energy Disaggregation. 850-857 - Fiammetta Caccavale, Anders Søgaard:
Predicting Concrete and Abstract Entities in Modern Poetry. 858-864 - Cheng Chen, Qi Dou, Hao Chen
, Jing Qin, Pheng-Ann Heng:
Synergistic Image and Feature Adaptation: Towards Cross-Modality Domain Adaptation for Medical Image Segmentation. 865-872 - Lisi Chen, Shuo Shang:
Region-Based Message Exploration over Spatio-Temporal Data Streams. 873-880 - Michael Dann
, Fabio Zambetta
, John Thangarajah:
Deriving Subgoals Autonomously to Accelerate Learning in Sparse Reward Domains. 881-889 - Zulong Diao, Xin Wang, Dafang Zhang, Yingru Liu, Kun Xie, Shaoyao He:
Dynamic Spatial-Temporal Graph Convolutional Neural Networks for Traffic Forecasting. 890-897 - Wei Feng
, Wentao Liu
, Tong Li, Jing Peng, Chen Qian, Xiaolin Hu:
Turbo Learning Framework for Human-Object Interactions Recognition and Human Pose Estimation. 898-905 - Yanjie Fu, Pengyang Wang, Jiadi Du, Le Wu, Xiaolin Li:
Efficient Region Embedding with Multi-View Spatial Networks: A Perspective of Locality-Constrained Spatial Autocorrelations. 906-913 - Susobhan Ghosh
, Easwar Subramanian, Sanjay P. Bhat, Sujit Gujar, Praveen Paruchuri:
VidyutVanika: A Reinforcement Learning Based Broker Agent for a Power Trading Competition. 914-921 - Shengnan Guo, Youfang Lin, Ning Feng, Chao Song
, Huaiyu Wan
:
Attention Based Spatial-Temporal Graph Convolutional Networks for Traffic Flow Forecasting. 922-929 - Rahul Gupta, Aditya Kanade, Shirish K. Shevade:
Deep Reinforcement Learning for Syntactic Error Repair in Student Programs. 930-937 - Yu Hao, Xien Liu, Ji Wu, Ping Lv:
Exploiting Sentence Embedding for Medical Question Answering. 938-945 - Binbin Hu, Zhiqiang Zhang, Chuan Shi, Jun Zhou, Xiaolong Li
, Yuan Qi:
Cash-Out User Detection Based on Attributed Heterogeneous Information Network with a Hierarchical Attention Mechanism. 946-953 - Shiyu Huang, Hang Su, Jun Zhu, Ting Chen:
Combo-Action: Training Agent For FPS Game with Auxiliary Tasks. 954-961 - Steve T. K. Jan, Joseph Messou, Yen-Chen Lin, Jia-Bin Huang, Gang Wang:
Connecting the Digital and Physical World: Improving the Robustness of Adversarial Attacks. 962-969 - Jan Karwowski, Jacek Mandziuk, Adam Zychowski
, Filip Grajek, Bo An:
A Memetic Approach for Sequential Security Games on a Plane with Moving Targets. 970-977