AAAI 2020

1,794 papers

Pose-Assisted Multi-Camera Collaboration for Active Object Tracking

Jing Li, Jing Xu, Fangwei Zhong, Xiangyu Kong, Yu Qiao

Region Focus Network for Joint Optic Disc and Cup Segmentation

Ge Li, Changsheng Li, Chan Zeng, peng gao, Guotong Xie

DeepAlerts: Deep Learning Based Multi-Horizon Alerts for Clinical Deterioration on Oncology Hospital Wards

Dingwen Li, Patrick G. Lyons, Chenyang Lu, Marin Kollef

SynSig2Vec: Learning Representations from Synthetic Dynamic Signatures for Real-World Verification

Songxuan Lai, LianWen Jin, Luojun Lin, Yecheng Zhu, Huiyun Mao

Generating Realistic Stock Market Order Streams

Junyi Li, Xintong Wang, Yaoyang Lin, Arunesh Sinha, Michael Wellman

A Graph Auto-Encoder for Haplotype Assembly and Viral Quasispecies Reconstruction

Ziqi Ke, Haris Vikalo

RL-Duet: Online Music Accompaniment Generation Using Deep Reinforcement Learning

Nan Jiang, Sheng Jin, Zhiyao Duan, Changshui Zhang

CASTER: Predicting Drug Interactions with Chemical Substructure Representation

Kexin Huang, Cao Xiao, Trong Hoang, Lucas Glass, Jimeng Sun

Pairwise Learning with Differential Privacy Guarantees

Mengdi Huai, Di Wang, Chenglin Miao, Jinhui Xu, Aidong Zhang

Accurate Structured-Text Spotting for Arithmetical Exercise Correction

Yiqing Hu, YAN ZHENG, Hao Liu, Dequang Jiang, Yinsong Liu

Multi-Scale Anomaly Detection on Attributed Networks

Leonardo Gutiérrez-Gómez, Alexandre Bovet, Jean-Charles Delvenne

Graduate Employment Prediction with Bias

Teng Guo, Feng Xia, Shihao Zhen, Xiaomei Bai, Dongyu Zhang

Enhancing Personalized Trip Recommendation with Attractive Routes

Jiqing Gu, Chao Song, Wenjun Jiang, Xiaomin Wang, Ming Liu

Predictive Student Modeling in Educational Games with Multi-Task Learning

Michael Geden, Andrew Emerson, Jonathan Rowe, Roger Azevedo, James Lester

GAN-Based Unpaired Chinese Character Image Translation via Skeleton Transformation and Stroke Rendering

Yiming Gao, Jiangqin Wu

CORE: Automatic Molecule Optimization Using Copy & Refine Strategy

Tianfan Fu, Cao Xiao, Jimeng Sun

Predicting AC Optimal Power Flows: Combining Deep Learning and Lagrangian Dual Methods

Ferdinando Fioretto, Terrence W.K. Mak, Pascal Van Hentenryck

Differentially Private and Fair Classification via Calibrated Functional Mechanism

Jiahao Ding, Xinyue Zhang, Xiaohuan Li, Junyi Wang, Rong Yu

CONAN: Complementary Pattern Augmentation for Rare Disease Detection

Limeng Cui, Siddharth Biswal, Lucas M. Glass, Greg Lever, Jimeng Sun

Learning the Graphical Structure of Electronic Health Records with Graph Convolutional Transformer

Edward Choi, Zhen Xu, Yujia Li, Michael Dusenberry, Gerardo Flores

DeepVar: An End-to-End Deep Learning Approach for Genomic Variant Recognition in Biomedical Literature

Chaoran Cheng, Fei Tan, Zhi Wei

Adaptive Greedy versus Non-Adaptive Greedy for Influence Maximization

Wei Chen, Binghui Peng, Grant Schoenebeck, Biaoshuai Tao

Pay Your Trip for Traffic Congestion: Dynamic Pricing in Traffic-Aware Road Networks

Lisi Chen, Shuo Shang, Bin Yao, Jing Li

Real-Time Route Search by Locations

Lisi Chen, Shuo Shang, Tao GUO

TrueLearn: A Family of Bayesian Algorithms to Match Lifelong Learners to Open Educational Resources

Sahan Bulathwela, Maria Perez-Ortiz, Emine Yilmaz, John Shawe-Taylor

Doctor2Vec: Dynamic Doctor Representation Learning for Clinical Trial Recruitment

Siddharth Biswal, Cao Xiao, Lucas M. Glass, Elizabeth Milkovits, Jimeng Sun

Rumor Detection on Social Media with Bi-Directional Graph Convolutional Networks

Tian Bian, Xi Xiao, Tingyang Xu, Peilin Zhao, Wenbing Huang

Interactive Learning with Proactive Cognition Enhancement for Crowd Workers

Jing Zhang, Huihui Wang, Shunmei Meng, Victor S. Sheng

Weakly-Supervised Fine-Grained Event Recognition on Social Media Texts for Disaster Management

Wenlin Yao, Cheng Zhang, Shiva Saravanan, Ruihong Huang, Ali Mostafavi

Protecting Geolocation Privacy of Photo Collections

Jinghan Yang, Ayan Chakrabarti, Yevgeniy Vorobeychik

Weak Supervision for Fake News Detection via Reinforcement Learning

Yaqing Wang, Weifeng Yang, Fenglong Ma, Jin Xu, Bin Zhong

Neural Approximate Dynamic Programming for On-Demand Ride-Pooling

Sanket Shah, Meghna Lowalekar, Pradeep Varakantham

On Identifying Hashtags in Disaster Twitter Data

Jishnu Ray Chowdhury, Cornelia Caragea, Doina Caragea

Capturing the Style of Fake News

Piotr Przybyla

Automatically Neutralizing Subjective Bias in Text

Reid Pryzant, Richard Diehl Martinez, Nathan Dass, Sadao Kurohashi, Dan Jurafsky

The Stanford Acuity Test: A Precise Vision Test Using Bayesian Techniques and a Discovery in Human Visual Response

Chris Piech, Ali Malik, Laura M. Scott, Robert T. Chang, Charles Lin

Guided Weak Supervision for Action Recognition with Scarce Data to Assess Skills of Children with Autism

Prashant Pandey, Prathosh AP, Manu Kohli, Josh Pritchard

Voice for the Voiceless: Active Sampling to Detect Comments Supporting the Rohingyas

Shriphani Palakodety, Ashiqur R. KhudaBukhsh, Jaime G. Carbonell

Linguistic Fingerprints of Internet Censorship: The Case of Sina Weibo

Kei Yin Ng, Anna Feldman, Jing Peng

The Unreasonable Effectiveness of Inverse Reinforcement Learning in Advancing Cancer Research

John Kalantari, Heidi Nelson, Nicholas Chia

Lightweight and Robust Representation of Economic Scales from Satellite Imagery

Sungwon Han, Donghyun Ahn, Hyunji Cha, Jeasurk Yang, Sungwon Park

Discriminating Cognitive Disequilibrium and Flow in Problem Solving: A Semi-Supervised Approach Using Involuntary Dynamic Behavioral Signals

Mononito Goswami, Lujie Chen, Artur Dubrawski

Faking Fairness via Stealthily Biased Sampling

Kazuto Fukuchi, Satoshi Hara, Takanori Maehara

A Distributed Multi-Sensor Machine Learning Approach to Earthquake Early Warning

Kevin Fauvel, Daniel Balouek-Thomert, Diego Melgar, Pedro Silva, Anthony Simonet

Inferring Nighttime Satellite Imagery from Human Mobility

Brian Dickinson, Gourab Ghoshal, Xerxes Dotiwalla, Adam Sadilek, Henry Kautz

Hindi-English Hate Speech Detection: Author Profiling, Debiasing, and Practical Perspectives

Shivang Chopra, Ramit Sawhney, Puneet Mathur, Rajiv Ratn Shah

Detecting and Tracking Communal Bird Roosts in Weather Radar Data

Zezhou Cheng, Saadia Gabriel, Pankaj Bhambhani, Daniel Sheldon, Subhransu Maji

Tracking Disaster Footprints with Social Streaming Data

Lu Cheng, Jundong Li, K. Selcuk Candan, Huan Liu

Spatio-Temporal Attention-Based Neural Network for Credit Card Fraud Detection

Dawei Cheng, Sheng Xiang, Chencheng Shang, Yiyi Zhang, Fangzhou Yang

Unsupervised Detection of Sub-Events in Large Scale Disasters

Chidubem Arachie, Manas Gaur, Sam Anzaroot, William Groves, Ke ZHANG

Crisis-DIAS: Towards Multimodal Damage Analysis - Deployment, Challenges and Assessment

Mansi Agarwal, Maitree Leekha, Ramit Sawhney, Rajiv Ratn Shah

FairyTED: A Fair Rating Predictor for TED Talk Data

Rupam Acharyya, Shouman Das, Ankani Chattoraj, Md. Iftekhar Tanveer

A Recurrent Model for Collective Entity Linking with Adaptive Features

Xiaoling Zhou, Yukai Miao, Wei Wang, Jianbin Qin

Table2Analysis: Modeling and Recommendation of Common Analysis Patterns for Multi-Dimensional Data

Mengyu Zhou, Wang Tao, Ji Pengxin, Han Shi, Zhang Dongmei

Multi-Channel Reverse Dictionary Model

Lei Zhang, Fanchao Qi, Zhiyuan Liu, Yasheng Wang, Qun Liu

An End-to-End Visual-Audio Attention Network for Emotion Recognition in User-Generated Videos

Sicheng Zhao, Yunsheng Ma, Yang Gu, Jufeng Yang, Tengfei Xing

D2D-LSTM: LSTM-Based Path Prediction of Content Diffusion Tree in Device-to-Device Social Networks

Heng Zhang, Xiaofei Wang, Jiawen Chen, Chenyang Wang, Jianxin Li

Learning to Match on Graph for Fashion Compatibility Modeling

Xun Yang, Xiaoyu Du, Meng Wang

Cross-Modal Attention Network for Temporal Inconsistent Audio-Visual Event Localization

Hanyu Xuan, Zhenyu Zhang, Shuo Chen, Jian Yang, Yan Yan

Multi-Feature Discrete Collaborative Filtering for Fast Cold-Start Recommendation

Yang Xu, LEI ZHU, Zhiyong Cheng, Jingjing Li, Jiande Sun

Who Likes What? — SplitLBI in Exploring Preferential Diversity of Ratings

Qianqian Xu, Jiechao Xiong, Zhiyong Yang, Xiaochun Cao, Qingming Huang

Mining Unfollow Behavior in Large-Scale Online Social Networks via Spatial-Temporal Interaction

Haozhe Wu, Zhiyuan Hu, Jia Jia, Yaohua Bu, Xiangnan He

A Spherical Convolution Approach for Learning Long Term Viewport Prediction in 360 Immersive Video

Chenglei Wu, Ruixiao Zhang, Zhi Wang, Lifeng Sun

Social Influence Does Matter: User Action Prediction for In-Feed Advertising

Hongyang Wang, Qingfei Meng, Ju Fan, Yuchen Li, Laizhong Cui

Author Name Disambiguation on Heterogeneous Information Network with Adversarial Representation Learning

Haiwen Wang, Ruijie Wan, Chuan Wen, Shuhao Li, Yuting Jia

Learning with Unsure Responses

Kunihiro Takeoka, Yuyang Dong, Masafumi Oyamada

Knowledge Graph Alignment Network with Gated Multi-Hop Neighborhood Aggregation

Zequn Sun, Chengming Wang, Wei Hu, Muhao Chen, Jian Dai

Where to Go Next: Modeling Long- and Short-Term User Preferences for Point-of-Interest Recommendation

Ke Sun, Tieyun Qian, Tong Chen, Yile Liang, Quoc Viet Hung Nguyen

PEIA: Personality and Emotion Integrated Attentive Model for Music Recommendation on Social Media Platforms

Tiancheng Shen, Jia Jia, Yan Li, Yihui Ma, Yaohua Bu

Minimizing the Bag-of-Ngrams Difference for Non-Autoregressive Neural Machine Translation

Chenze Shao, Jinchao Zhang, Yang Feng, Fandong Meng, Jie Zhou

Towards Comprehensive Recommender Systems: Time-Aware Unified Recommendations Based on Listwise Ranking of Implicit Cross-Network Data

Dilruk Perera, Roger Zimmermann

Incremental Fairness in Two-Sided Market Platforms: On Smoothly Updating Recommendations

Gourab K. Patro, Abhijnan Chakraborty, Niloy Ganguly, Krishna Gummadi

A Variational Point Process Model for Social Event Sequences

Zhen Pan, Zhenya Huang, Defu Lian, Enhong Chen

Modality to Modality Translation: An Adversarial Representation Learning and Graph Fusion Network for Multimodal Fusion

Sijie Mai, Haifeng Hu, Songlong Xing

Deep Match to Rank Model for Personalized Click-Through Rate Prediction

Ze Lyu, Yu Dong, Chengfu Huo, Weijun Ren

Type-Aware Anchor Link Prediction across Heterogeneous Networks Based on Graph Attention Network

Xiaoxue Li, Yanmin Shang, Yanan Cao, Yangxi Li, Jianlong Tan

Understanding and Improving Proximity Graph Based Maximum Inner Product Search

Jie Liu, Xiao Yan, Xinyan Dai, Zhirong Li, James Cheng

True Nonlinear Dynamics from Incomplete Networks

Chunheng Jiang, Jianxi Gao, Malik Magdon-Ismail

Functionality Discovery and Prediction of Physical Objects

Lei Ji, Botian Shi, Xianglin Guo, Xilin Chen

Cross-Lingual Pre-Training Based Transfer for Zero-Shot Neural Machine Translation

Baijun Ji, Zhirui Zhang, Xiangyu Duan, Min Zhang, Boxing Chen

MuMod: A Micro-Unit Connection Approach for Hybrid-Order Community Detection

Ling Huang, Hong-Yang Chao, Quangqiang Xie

Semi-Supervised Multi-Modal Learning with Balanced Spectral Decomposition

Peng Hu, Hongyuan Zhu, Xi Peng, Jie Lin

Re-Attention for Visual Question Answering

Wenya Guo, Ying Zhang, Xiaoping Wu, Jufeng Yang, Xiangrui Cai

An Attentional Recurrent Neural Network for Personalized Next Location Recommendation

Qing Guo, Zhu Sun, Jie Zhang, Yin-Leng Theng

Preserving Ordinal Consensus: Towards Feature Selection for Unlabeled Data

Jun Guo, Heng Chang, Wenwu Zhu

Leveraging Title-Abstract Attentive Semantics for Paper Recommendation

Guibing Guo, Bowei Chen, Xiaoyan Zhang, Zhirong Liu, Zhenhua Dong

Modeling Fluency and Faithfulness for Diverse Neural Machine Translation

Yang Feng, Wanying Xie, Shuhao Gu, Chenze Shao, Wen Zhang

Norm-Explicit Quantization: Improving Vector Quantization for Maximum Inner Product Search

Xinyan Dai, Xiao Yan, Kelvin K. W. Ng, Jiu Liu, James Cheng

Gradient Method for Continuous Influence Maximization with Budget-Saving Considerations

Wei Chen, Weizhong Zhang, Haoyu Zhao

Question-Driven Purchasing Propensity Analysis for Recommendation

Long Chen, Ziyu Guan, Qibin Xu, Qiong Zhang, Huan Sun

Revisiting Graph Based Collaborative Filtering: A Linear Residual Graph Convolutional Network Approach

Lei Chen, Le Wu, Richang Hong, Kun Zhang, Meng Wang

Efficient Heterogeneous Collaborative Filtering without Negative Sampling for Recommendation

Chong Chen, Min Zhang, Yongfeng Zhang, Weizhi Ma, Yiqun Liu

MultiSumm: Towards a Unified Model for Multi-Lingual Abstractive Summarization

Yue Cao, Xiaojun Wan, Jinge Yao, Dian Yu

Balancing Spreads of Influence in a Social Network

Ruben Becker, Federico Corò, Gianlorenzo D'Angelo, Hugo Gilbert