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ORCID33rd 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