default search action
Google
Google Scholar
Semantic Scholar
Internet Archive Scholar
CiteSeerX
ORCID34th AAAI 2020: New York, NY, USA
- The Thirty-Fourth AAAI Conference on Artificial Intelligence, AAAI 2020, The Thirty-Second Innovative Applications of Artificial Intelligence Conference, IAAI 2020, The Tenth AAAI Symposium on Educational Advances in Artificial Intelligence, EAAI 2020, New York, NY, USA, February 7-12, 2020. AAAI Press 2020, ISBN 978-1-57735-823-7
AAAI Technical Track: AI and the Web
- Ruben Becker, Federico Corò, Gianlorenzo D'Angelo, Hugo Gilbert:
Balancing Spreads of Influence in a Social Network. 3-10 - Yue Cao, Xiaojun Wan, Jin-ge Yao, Dian Yu:
MultiSumm: Towards a Unified Model for Multi-Lingual Abstractive Summarization. 11-18 - Chong Chen, Min Zhang, Yongfeng Zhang, Weizhi Ma, Yiqun Liu, Shaoping Ma:
Efficient Heterogeneous Collaborative Filtering without Negative Sampling for Recommendation. 19-26 - Lei Chen, Le Wu
, Richang Hong, Kun Zhang, Meng Wang:
Revisiting Graph Based Collaborative Filtering: A Linear Residual Graph Convolutional Network Approach. 27-34 - Long Chen, Ziyu Guan, Qibin Xu, Qiong Zhang, Huan Sun, Guangyue Lu, Deng Cai:
Question-Driven Purchasing Propensity Analysis for Recommendation. 35-42 - Wei Chen, Weizhong Zhang, Haoyu Zhao:
Gradient Method for Continuous Influence Maximization with Budget-Saving Considerations. 43-50 - Xinyan Dai, Xiao Yan, Kelvin Kai Wing Ng, Jiu Liu, James Cheng:
Norm-Explicit Quantization: Improving Vector Quantization for Maximum Inner Product Search. 51-58 - Yang Feng, Wanying Xie, Shuhao Gu, Chenze Shao, Wen Zhang, Zhengxin Yang, Dong Yu:
Modeling Fluency and Faithfulness for Diverse Neural Machine Translation. 59-66 - Guibing Guo, Bowei Chen, Xiaoyan Zhang, Zhirong Liu, Zhenhua Dong, Xiuqiang He:
Leveraging Title-Abstract Attentive Semantics for Paper Recommendation. 67-74 - Jun Guo, Heng Chang, Wenwu Zhu:
Preserving Ordinal Consensus: Towards Feature Selection for Unlabeled Data. 75-82 - Qing Guo, Zhu Sun, Jie Zhang, Yin-Leng Theng:
An Attentional Recurrent Neural Network for Personalized Next Location Recommendation. 83-90 - Wenya Guo, Ying Zhang, Xiaoping Wu, Jufeng Yang, Xiangrui Cai, Xiaojie Yuan:
Re-Attention for Visual Question Answering. 91-98 - Peng Hu, Hongyuan Zhu, Xi Peng, Jie Lin:
Semi-Supervised Multi-Modal Learning with Balanced Spectral Decomposition. 99-106 - Ling Huang, Hong-Yang Chao, Guangqiang Xie:
MuMod: A Micro-Unit Connection Approach for Hybrid-Order Community Detection. 107-114 - Baijun Ji, Zhirui Zhang, Xiangyu Duan, Min Zhang, Boxing Chen, Weihua Luo:
Cross-Lingual Pre-Training Based Transfer for Zero-Shot Neural Machine Translation. 115-122 - Lei Ji, Botian Shi, Xianglin Guo, Xilin Chen:
Functionality Discovery and Prediction of Physical Objects. 123-130 - Chunheng Jiang, Jianxi Gao, Malik Magdon-Ismail:
True Nonlinear Dynamics from Incomplete Networks. 131-138 - Jie Liu, Xiao Yan, Xinyan Dai, Zhirong Li, James Cheng, Ming-Chang Yang:
Understanding and Improving Proximity Graph Based Maximum Inner Product Search. 139-146 - Xiaoxue Li, Yanmin Shang, Yanan Cao, Yangxi Li, Jianlong Tan, Yanbing Liu:
Type-Aware Anchor Link Prediction across Heterogeneous Networks Based on Graph Attention Network. 147-155 - Zequn Lyu, Yu Dong, Chengfu Huo, Weijun Ren:
Deep Match to Rank Model for Personalized Click-Through Rate Prediction. 156-163 - Sijie Mai, Haifeng Hu, Songlong Xing:
Modality to Modality Translation: An Adversarial Representation Learning and Graph Fusion Network for Multimodal Fusion. 164-172 - Zhen Pan, Zhenya Huang, Defu Lian, Enhong Chen:
A Variational Point Process Model for Social Event Sequences. 173-180 - Gourab K. Patro, Abhijnan Chakraborty, Niloy Ganguly, Krishna P. Gummadi:
Fair Updates in Two-Sided Market Platforms: On Incrementally Updating Recommendations. 181-188 - Dilruk Perera, Roger Zimmermann:
Towards Comprehensive Recommender Systems: Time-Aware Unified Recommendations Based on Listwise Ranking of Implicit Cross-Network Data. 189-197 - Chenze Shao, Jinchao Zhang, Yang Feng, Fandong Meng, Jie Zhou:
Minimizing the Bag-of-Ngrams Difference for Non-Autoregressive Neural Machine Translation. 198-205 - Tiancheng Shen, Jia Jia, Yan Li, Yihui Ma, Yaohua Bu, Hanjie Wang, Bo Chen, Tat-Seng Chua, Wendy Hall:
PEIA: Personality and Emotion Integrated Attentive Model for Music Recommendation on Social Media Platforms. 206-213 - Ke Sun, Tieyun Qian, Tong Chen, Yile Liang, Quoc Viet Hung Nguyen, Hongzhi Yin:
Where to Go Next: Modeling Long- and Short-Term User Preferences for Point-of-Interest Recommendation. 214-221 - Zequn Sun, Chengming Wang, Wei Hu, Muhao Chen, Jian Dai, Wei Zhang, Yuzhong Qu:
Knowledge Graph Alignment Network with Gated Multi-Hop Neighborhood Aggregation. 222-229 - Kunihiro Takeoka, Yuyang Dong, Masafumi Oyamada:
Learning with Unsure Responses. 230-237 - Haiwen Wang, Ruijie Wang, Chuan Wen, Shuhao Li, Yuting Jia, Weinan Zhang, Xinbing Wang:
Author Name Disambiguation on Heterogeneous Information Network with Adversarial Representation Learning. 238-245 - Hongyang Wang, Qingfei Meng, Ju Fan, Yuchen Li, Laizhong Cui, Xiaoman Zhao, Chong Peng, Gong Chen, Xiaoyong Du:
Social Influence Does Matter: User Action Prediction for In-Feed Advertising. 246-253 - Haozhe Wu, Zhiyuan Hu, Jia Jia, Yaohua Bu, Xiangnan He, Tat-Seng Chua:
Mining Unfollow Behavior in Large-Scale Online Social Networks via Spatial-Temporal Interaction. 254-261 - Qianqian Xu, Jiechao Xiong, Zhiyong Yang, Xiaochun Cao, Qingming Huang, Yuan Yao:
Who Likes What? - SplitLBI in Exploring Preferential Diversity of Ratings. 262-269 - Yang Xu, Lei Zhu, Zhiyong Cheng, Jingjing Li, Jiande Sun:
Multi-Feature Discrete Collaborative Filtering for Fast Cold-Start Recommendation. 270-278 - Hanyu Xuan, Zhenyu Zhang, Shuo Chen, Jian Yang, Yan Yan:
Cross-Modal Attention Network for Temporal Inconsistent Audio-Visual Event Localization. 279-286 - Xun Yang, Xiaoyu Du, Meng Wang:
Learning to Match on Graph for Fashion Compatibility Modeling. 287-294 - Heng Zhang, Xiaofei Wang, Jiawen Chen, Chenyang Wang, Jianxin Li:
D2D-LSTM: LSTM-Based Path Prediction of Content Diffusion Tree in Device-to-Device Social Networks. 295-302 - Sicheng Zhao, Yunsheng Ma, Yang Gu, Jufeng Yang, Tengfei Xing, Pengfei Xu, Runbo Hu, Hua Chai, Kurt Keutzer:
An End-to-End Visual-Audio Attention Network for Emotion Recognition in User-Generated Videos. 303-311 - Lei Zheng, Fanchao Qi, Zhiyuan Liu, Yasheng Wang, Qun Liu, Maosong Sun:
Multi-Channel Reverse Dictionary Model. 312-319 - Mengyu Zhou, Wang Tao, Pengxin Ji, Han Shi, Dongmei Zhang:
Table2Analysis: Modeling and Recommendation of Common Analysis Patterns for Multi-Dimensional Data. 320-328 - Xiaoling Zhou, Yukai Miao, Wei Wang, Jianbin Qin:
A Recurrent Model for Collective Entity Linking with Adaptive Features. 329-336
AAAI Special Technical Track: AI for Social Impact
- Rupam Acharyya, Shouman Das, Ankani Chattoraj, Md. Iftekhar Tanveer:
FairyTED: A Fair Rating Predictor for TED Talk Data. 338-345 - Mansi Agarwal, Maitree Leekha, Ramit Sawhney, Rajiv Ratn Shah:
Crisis-DIAS: Towards Multimodal Damage Analysis - Deployment, Challenges and Assessment. 346-353 - Chidubem Arachie, Manas Gaur, Sam Anzaroot, William Groves, Ke Zhang, Alejandro Jaimes:
Unsupervised Detection of Sub-Events in Large Scale Disasters. 354-361 - Dawei Cheng, Sheng Xiang, Chencheng Shang, Yiyi Zhang, Fangzhou Yang, Liqing Zhang:
Spatio-Temporal Attention-Based Neural Network for Credit Card Fraud Detection. 362-369 - Lu Cheng, Jundong Li, K. Selçuk Candan, Huan Liu:
Tracking Disaster Footprints with Social Streaming Data. 370-377 - Zezhou Cheng, Saadia Gabriel, Pankaj Bhambhani, Daniel Sheldon, Subhransu Maji, Andrew Laughlin, David Winkler:
Detecting and Tracking Communal Bird Roosts in Weather Radar Data. 378-385 - Shivang Chopra, Ramit Sawhney, Puneet Mathur, Rajiv Ratn Shah:
Hindi-English Hate Speech Detection: Author Profiling, Debiasing, and Practical Perspectives. 386-393 - Brian Dickinson, Gourab Ghoshal, Xerxes Dotiwalla, Adam Sadilek, Henry A. Kautz:
Inferring Nighttime Satellite Imagery from Human Mobility. 394-402 - Kevin Fauvel, Daniel Balouek-Thomert, Diego Melgar, Pedro Silva, Anthony Simonet, Gabriel Antoniu, Alexandru Costan, Véronique Masson, Manish Parashar, Ivan Rodero, Alexandre Termier:
A Distributed Multi-Sensor Machine Learning Approach to Earthquake Early Warning. 403-411 - Kazuto Fukuchi, Satoshi Hara, Takanori Maehara:
Faking Fairness via Stealthily Biased Sampling. 412-419 - Mononito Goswami, Lujie Chen, Artur Dubrawski:
Discriminating Cognitive Disequilibrium and Flow in Problem Solving: A Semi-Supervised Approach Using Involuntary Dynamic Behavioral Signals. 420-427 - Sungwon Han, Donghyun Ahn, Hyunji Cha, Jeasurk Yang, Sungwon Park, Meeyoung Cha:
Lightweight and Robust Representation of Economic Scales from Satellite Imagery. 428-436 - John Kalantari, Heidi Nelson, Nicholas Chia:
The Unreasonable Effectiveness of Inverse Reinforcement Learning in Advancing Cancer Research. 437-445 - Kei Yin Ng, Anna Feldman, Jing Peng:
Linguistic Fingerprints of Internet Censorship: The Case of Sina Weibo. 446-453 - Shriphani Palakodety, Ashiqur R. KhudaBukhsh, Jaime G. Carbonell:
Voice for the Voiceless: Active Sampling to Detect Comments Supporting the Rohingyas. 454-462 - Prashant Pandey, Prathosh AP, Manu Kohli, Josh Pritchard:
Guided Weak Supervision for Action Recognition with Scarce Data to Assess Skills of Children with Autism. 463-470 - Chris Piech, Ali Malik, Laura M. Scott, Robert T. Chang, Charles Lin:
The Stanford Acuity Test: A Precise Vision Test Using Bayesian Techniques and a Discovery in Human Visual Response. 471-479 - Reid Pryzant, Richard Diehl Martinez, Nathan Dass, Sadao Kurohashi, Dan Jurafsky, Diyi Yang:
Automatically Neutralizing Subjective Bias in Text. 480-489 - Piotr Przybyla:
Capturing the Style of Fake News. 490-497 - Jishnu Ray Chowdhury, Cornelia Caragea, Doina Caragea:
On Identifying Hashtags in Disaster Twitter Data. 498-506 - Sanket Shah, Meghna Lowalekar, Pradeep Varakantham:
Neural Approximate Dynamic Programming for On-Demand Ride-Pooling. 507-515 - Yaqing Wang, Weifeng Yang, Fenglong Ma, Jin Xu, Bin Zhong, Qiang Deng, Jing Gao:
Weak Supervision for Fake News Detection via Reinforcement Learning. 516-523 - Jinghan Yang, Ayan Chakrabarti, Yevgeniy Vorobeychik:
Protecting Geolocation Privacy of Photo Collections. 524-531 - Wenlin Yao, Cheng Zhang, Shiva Saravanan, Ruihong Huang, Ali Mostafavi:
Weakly-Supervised Fine-Grained Event Recognition on Social Media Texts for Disaster Management. 532-539 - Jing Zhang, Huihui Wang, Shunmei Meng, Victor S. Sheng:
Interactive Learning with Proactive Cognition Enhancement for Crowd Workers. 540-547
AAAI Technical Track: Applications
- Tian Bian, Xi Xiao, Tingyang Xu, Peilin Zhao, Wenbing Huang, Yu Rong, Junzhou Huang:
Rumor Detection on Social Media with Bi-Directional Graph Convolutional Networks. 549-556 - Siddharth Biswal, Cao Xiao, Lucas M. Glass, Elizabeth Milkovits, Jimeng Sun:
Doctor2Vec: Dynamic Doctor Representation Learning for Clinical Trial Recruitment. 557-564 - Sahan Bulathwela, María Pérez-Ortiz, Emine Yilmaz, John Shawe-Taylor:
TrueLearn: A Family of Bayesian Algorithms to Match Lifelong Learners to Open Educational Resources. 565-573 - Lisi Chen, Shuo Shang, Tao Guo:
Real-Time Route Search by Locations. 574-581 - Lisi Chen, Shuo Shang, Bin Yao, Jing Li:
Pay Your Trip for Traffic Congestion: Dynamic Pricing in Traffic-Aware Road Networks. 582-589 - Wei Chen, Binghui Peng, Grant Schoenebeck, Biaoshuai Tao:
Adaptive Greedy versus Non-Adaptive Greedy for Influence Maximization. 590-597 - Chaoran Cheng, Fei Tan, Zhi Wei:
DeepVar: An End-to-End Deep Learning Approach for Genomic Variant Recognition in Biomedical Literature. 598-605 - Edward Choi, Zhen Xu, Yujia Li, Michael Dusenberry, Gerardo Flores, Emily Xue, Andrew M. Dai:
Learning the Graphical Structure of Electronic Health Records with Graph Convolutional Transformer. 606-613 - Limeng Cui, Siddharth Biswal, Lucas M. Glass, Greg Lever, Jimeng Sun, Cao Xiao:
CONAN: Complementary Pattern Augmentation for Rare Disease Detection. 614-621 - Jiahao Ding, Xinyue Zhang, Xiaohuan Li, Junyi Wang, Rong Yu, Miao Pan:
Differentially Private and Fair Classification via Calibrated Functional Mechanism. 622-629 - Ferdinando Fioretto, Terrence W. K. Mak, Pascal Van Hentenryck:
Predicting AC Optimal Power Flows: Combining Deep Learning and Lagrangian Dual Methods. 630-637 - Tianfan Fu, Cao Xiao, Jimeng Sun:
CORE: Automatic Molecule Optimization Using Copy & Refine Strategy. 638-645 - Yiming Gao, Jiangqin Wu:
GAN-Based Unpaired Chinese Character Image Translation via Skeleton Transformation and Stroke Rendering. 646-653 - Michael Geden, Andrew Emerson, Jonathan P. Rowe, Roger Azevedo, James C. Lester:
Predictive Student Modeling in Educational Games with Multi-Task Learning. 654-661 - Jiqing Gu, Chao Song, Wenjun Jiang, Xiaomin Wang, Ming Liu:
Enhancing Personalized Trip Recommendation with Attractive Routes. 662-669 - Teng Guo, Feng Xia, Shihao Zhen, Xiaomei Bai, Dongyu Zhang, Zitao Liu, Jiliang Tang:
Graduate Employment Prediction with Bias. 670-677 - Leonardo Gutiérrez-Gómez, Alexandre Bovet, Jean-Charles Delvenne:
Multi-Scale Anomaly Detection on Attributed Networks. 678-685 - Yiqing Hu, Yan Zheng, Hao Liu, Deqiang Jiang, Yinsong Liu, Bo Ren:
Accurate Structured-Text Spotting for Arithmetical Exercise Correction. 686-693 - Mengdi Huai, Di Wang, Chenglin Miao, Jinhui Xu, Aidong Zhang:
Pairwise Learning with Differential Privacy Guarantees. 694-701 - Kexin Huang, Cao Xiao, Trong Nghia Hoang, Lucas Glass, Jimeng Sun:
CASTER: Predicting Drug Interactions with Chemical Substructure Representation. 702-709 - Nan Jiang, Sheng Jin, Zhiyao Duan, Changshui Zhang:
RL-Duet: Online Music Accompaniment Generation Using Deep Reinforcement Learning. 710-718 - Ziqi Ke, Haris Vikalo:
A Graph Auto-Encoder for Haplotype Assembly and Viral Quasispecies Reconstruction. 719-726 - Junyi Li, Xintong Wang, Yaoyang Lin, Arunesh Sinha, Michael P. Wellman:
Generating Realistic Stock Market Order Streams. 727-734 - Songxuan Lai, Lianwen Jin, Luojun Lin, Yecheng Zhu, Huiyun Mao:
SynSig2Vec: Learning Representations from Synthetic Dynamic Signatures for Real-World Verification. 735-742 - Dingwen Li, Patrick G. Lyons, Chenyang Lu, Marin Kollef:
DeepAlerts: Deep Learning Based Multi-Horizon Alerts for Clinical Deterioration on Oncology Hospital Wards. 743-750 - Ge Li, Changsheng Li, Chan Zeng, Peng Gao, Guotong Xie:
Region Focus Network for Joint Optic Disc and Cup Segmentation. 751-758 - Jing Li, Jing Xu, Fangwei Zhong, Xiangyu Kong, Yu Qiao, Yizhou Wang:
Pose-Assisted Multi-Camera Collaboration for Active Object Tracking. 759-766 - Jun Li, Gan Sun, Guoshuai Zhao, Li-Wei H. Lehman:
Robust Low-Rank Discovery of Data-Driven Partial Differential Equations. 767-774 - Kang Li, Lequan Yu, Shujun Wang, Pheng-Ann Heng:
Towards Cross-Modality Medical Image Segmentation with Online Mutual Knowledge Distillation. 775-783 - Qinbin Li, Zhaomin Wu, Zeyi Wen, Bingsheng He:
Privacy-Preserving Gradient Boosting Decision Trees. 784-791 - Wentian Li, Xidong Feng, Haotian An, Xiang Yao Ng, Yu-Jin Zhang:
MRI Reconstruction with Interpretable Pixel-Wise Operations Using Reinforcement Learning. 792-799 - Yi Li, Zhe Wu, Shuang Zhao, Xian Wu, Yehong Kuang, Yangtian Yan, Shen Ge, Kai Wang, Wei Fan, Xiang Chen, Yong Wang:
PSENet: Psoriasis Severity Evaluation Network. 800-807 - Zhicheng Liu, Fabio Miranda, Weiting Xiong, Junyan Yang, Qiao Wang, Cláudio T. Silva:
Learning Geo-Contextual Embeddings for Commuting Flow Prediction. 808-816 - Lyujian Lu, Saad Elbeleidy, Lauren Zoe Baker, Hua Wang:
Learning Multi-Modal Biomarker Representations via Globally Aligned Longitudinal Enrichments. 817-824 - Liantao Ma, Junyi Gao, Yasha Wang, Chaohe Zhang, Jiangtao Wang, Wenjie Ruan, Wen Tang, Xin Gao, Xinyu Ma:
AdaCare: Explainable Clinical Health Status Representation Learning via Scale-Adaptive Feature Extraction and Recalibration. 825-832 - Liantao Ma, Chaohe Zhang, Yasha Wang, Wenjie Ruan, Jiangtao Wang, Wen Tang, Xinyu Ma, Xin Gao, Junyi Gao:
ConCare: Personalized Clinical Feature Embedding via Capturing the Healthcare Context. 833-840 - Farzan Masrour, Tyler Wilson, Heng Yan, Pang-Ning Tan, Abdol-Hossein Esfahanian:
Bursting the Filter Bubble: Fairness-Aware Network Link Prediction. 841-848 - Zhen Meng, Song Fu, Jie Yan, Hongyuan Liang, Anfu Zhou, Shilin Zhu, Huadong Ma, Jianhua Liu, Ning Yang:
Gait Recognition for Co-Existing Multiple People Using Millimeter Wave Sensing. 849-856 - Xiang Ni, Jing Li, Mo Yu, Wang Zhou, Kun-Lung Wu:
Generalizable Resource Allocation in Stream Processing via Deep Reinforcement Learning. 857-864 - Soham Pal, Yash Gupta, Aditya Shukla, Aditya Kanade, Shirish K. Shevade, Vinod Ganapathy:
ActiveThief: Model Extraction Using Active Learning and Unannotated Public Data. 865-872 - Yashaswi Pathak, Siddhartha Laghuvarapu, Sarvesh Mehta, U. Deva Priyakumar:
Chemically Interpretable Graph Interaction Network for Prediction of Pharmacokinetic Properties of Drug-Like Molecules. 873-880 - Anthony Rios:
FuzzE: Fuzzy Fairness Evaluation of Offensive Language Classifiers on African-American English. 881-889 - Sijie Ruan, Cheng Long, Jie Bao, Chunyang Li, Zisheng Yu, Ruiyuan Li, Yuxuan Liang, Tianfu He, Yu Zheng:
Learning to Generate Maps from Trajectories. 890-897 - Arpan Man Sainju, Wenchong He, Zhe Jiang, Da Yan:
Spatial Classification with Limited Observations Based on Physics-Aware Structural Constraint. 898-905 - Han Shi, Haozheng Fan, James T. Kwok:
Effective Decoding in Graph Auto-Encoder Using Triadic Closure. 906-913 - Chao Song, Youfang Lin, Shengnan Guo, Huaiyu Wan:
Spatial-Temporal Synchronous Graph Convolutional Networks: A New Framework for Spatial-Temporal Network Data Forecasting. 914-921 - Jianwen Sun, Yan Zheng, Jianye Hao, Zhaopeng Meng, Yang Liu:
Continuous Multiagent Control Using Collective Behavior Entropy for Large-Scale Home Energy Management. 922-929 - Qingxiong Tan, Mang Ye, Baoyao Yang, Siqi Liu, Andy Jinhua Ma, Terry Cheuk-Fung Yip, Grace Lai-Hung Wong, Pong Chi Yuen:
DATA-GRU: Dual-Attention Time-Aware Gated Recurrent Unit for Irregular Multivariate Time Series. 930-937 - Binglin Tao, Mingyu Xiao, Jingyang Zhao:
Finding Minimum-Weight Link-Disjoint Paths with a Few Common Nodes. 938-945 - Liang Tong, Aron Laszka, Chao Yan, Ning Zhang, Yevgeniy Vorobeychik:
Finding Needles in a Moving Haystack: Prioritizing Alerts with Adversarial Reinforcement Learning. 946-953 - Tzungyu Tsai, Kaichen Yang, Tsung-Yi Ho, Yier Jin:
Robust Adversarial Objects against Deep Learning Models. 954-962 - Ding Wang, Boyang Liu, Pang-Ning Tan, Lifeng Luo:
OMuLeT: Online Multi-Lead Time Location Prediction for Hurricane Trajectory Forecasting. 963-970 - Heyuan Wang, Tengjiao Wang, Yi Li:
Incorporating Expert-Based Investment Opinion Signals in Stock Prediction: A Deep Learning Framework. 971-978 - Wenlin Wang, Hongteng Xu, Zhe Gan, Bai Li, Guoyin Wang, Liqun Chen, Qian Yang, Wenqi Wang, Lawrence Carin:
Graph-Driven Generative Models for Heterogeneous Multi-Task Learning. 979-988 - Xiaobao Wang, Di Jin, Katarzyna Musial, Jianwu Dang:
Topic Enhanced Sentiment Spreading Model in Social Networks Considering User Interest. 989-996 - Xinying Wang, Olamide Timothy Tawose, Feng Yan, Dongfang Zhao:
HDK: Toward High-Performance Deep-Learning-Based Kirchhoff Analysis. 997-1004 - Yu Wang, Jack W. Stokes, Mady Marinescu:
Actor Critic Deep Reinforcement Learning for Neural Malware Control. 1005-1012 - Zhecheng Wang, Haoyuan Li, Ram Rajagopal:
Urban2Vec: Incorporating Street View Imagery and POIs for Multi-Modal Urban Neighborhood Embedding. 1013-1020 - Marcin Waniek, Tomasz P. Michalak, Talal Rahwan:
Hiding in Multilayer Networks. 1021-1028 - Hao Wu, Shuang Hao:
A Deep Neural Network Model of Particle Thermal Radiation in Packed Bed. 1029-1036 - Hao Wu, Hanyuan Zhang, Xinyu Zhang, Weiwei Sun, Baihua Zheng, Yuning Jiang:
DeepDualMapper: A Gated Fusion Network for Automatic Map Extraction Using Aerial Images and Trajectories. 1037-1045 - Ti-Rong Wu, Ting-Han Wei, I-Chen Wu:
Accelerating and Improving AlphaZero Using Population Based Training. 1046-1053 - Yongji Wu, Defu Lian, Yiheng Xu, Le Wu, Enhong Chen:
Graph Convolutional Networks with Markov Random Field Reasoning for Social Spammer Detection. 1054-1061 - Yuan Xia, Jingbo Zhou, Zhenhui Shi, Chao Lu, Haifeng Huang:
Generative Adversarial Regularized Mutual Information Policy Gradient Framework for Automatic Diagnosis. 1062-1069 - Hiromu Yakura, Youhei Akimoto, Jun Sakuma:
Generate (Non-Software) Bugs to Fool Classifiers. 1070-1078 - An Yan, Bill Howe:
Fairness-Aware Demand Prediction for New Mobility. 1079-1087 - Kaichen Yang, Tzungyu Tsai, Honggang Yu, Tsung-Yi Ho, Yier Jin:
Beyond Digital Domain: Fooling Deep Learning Based Recognition System in Physical World. 1088-1095 - Kai-Cheng Yang, Onur Varol, Pik-Mai Hui, Filippo Menczer:
Scalable and Generalizable Social Bot Detection through Data Selection. 1096-1103 - Xiaodong Yang, Yiqiang Chen, Hanchao Yu, Yingwei Zhang, Wang Lu, Ruizhe Sun:
Instance-Wise Dynamic Sensor Selection for Human Activity Recognition. 1104-1111 - Yunan Ye, Hengzhi Pei, Boxin Wang, Pin-Yu Chen, Yada Zhu, Ju Xiao, Bo Li:
Reinforcement-Learning Based Portfolio Management with Augmented Asset Movement Prediction States. 1112-1119 - Chong Yu:
Attention Based Data Hiding with Generative Adversarial Networks. 1120-1128 - Haomin Yu, Qingyong Li, Yangli-ao Geng, Yingjun Zhang, Zhi Wei:
AirNet: A Calibration Model for Low-Cost Air Monitoring Sensors Using Dual Sequence Encoder Networks. 1129-1136 - Tong Yu, Yilin Shen, Hongxia Jin:
Towards Hands-Free Visual Dialog Interactive Recommendation. 1137-1144 - Zeping Yu, Rui Cao, Qiyi Tang, Sen Nie, Junzhou Huang, Shi Wu:
Order Matters: Semantic-Aware Neural Networks for Binary Code Similarity Detection. 1145-1152 - Xinshi Zang, Huaxiu Yao, Guanjie Zheng, Nan Xu, Kai Xu, Zhenhui Li:
MetaLight: Value-Based Meta-Reinforcement Learning for Traffic Signal Control. 1153-1160 - Rui Zeng, Zongyuan Ge, Simon Denman, Sridha Sridharan, Clinton Fookes:
Geometry-Constrained Car Recognition Using a 3D Perspective Network. 1161-1168 - Huangzhao Zhang, Zhuo Li, Ge Li, Lei Ma, Yang Liu, Zhi Jin:
Generating Adversarial Examples for Holding Robustness of Source Code Processing Models. 1169-1176 - Qi Zhang, Jianlong Chang, Gaofeng Meng, Shiming Xiang, Chunhong Pan:
Spatio-Temporal Graph Structure Learning for Traffic Forecasting. 1177-1185 - Weijia Zhang, Hao Liu, Yanchi Liu, Jingbo Zhou, Hui Xiong:
Semi-Supervised Hierarchical Recurrent Graph Neural Network for City-Wide Parking Availability Prediction. 1186-1193 - Xitong Zhang, He Zhu, Jiayu Zhou:
Shoreline: Data-Driven Threshold Estimation of Online Reserves of Cryptocurrency Trading Platforms. 1194-1201 - Yifan Zhang, Jinghuai Zhang, Jindi Zhang, Jianping Wang, Kejie Lu, L. Jeff Hong:
A Novel Learning Framework for Sampling-Based Motion Planning in Autonomous Driving. 1202-1209 - Zhaoqi Zhang, Panpan Qi, Wei Wang:
Dynamic Malware Analysis with Feature Engineering and Feature Learning. 1210-1217 - Chengqian Zhao, Cheng Feng, Dengwang Li, Shuo Li:
OF-MSRN: Optical Flow-Auxiliary Multi-Task Regression Network for Direct Quantitative Measurement, Segmentation and Motion Estimation. 1218-1225 - Zewei Zhao, Houfeng Wang:
MaskGEC: Improving Neural Grammatical Error Correction via Dynamic Masking. 1226-1233 - Chuanpan Zheng, Xiaoliang Fan, Cheng Wang, Jianzhong Qi:
GMAN: A Graph Multi-Attention Network for Traffic Prediction. 1234-1241 - Yu Zheng, Bowei Chen, Timothy M. Hospedales, Yongxin Yang:
Index Tracking with Cardinality Constraints: A Stochastic Neural Networks Approach. 1242-1249 - Haoxi Zhong, Yuzhong Wang, Cunchao Tu, Tianyang Zhang, Zhiyuan Liu, Maosong Sun:
Iteratively Questioning and Answering for Interpretable Legal Judgment Prediction. 1250-1257 - Zhengyang Zhou, Yang Wang, Xike Xie, Lianliang Chen, Hengchang Liu:
RiskOracle: A Minute-Level Citywide Traffic Accident Forecasting Framework. 1258-1265 - Zhou Zhou, Lingjia Liu, Vikram Chandrasekhar, Jianzhong Zhang, Yang Yi:
Deep Reservoir Computing Meets 5G MIMO-OFDM Systems in Symbol Detection. 1266-1273 - Mengxiao Zhu, Haogang Zhu:
MixedAD: A Scalable Algorithm for Detecting Mixed Anomalies in Attributed Graphs. 1274-1281
AAAI Technical Track: Cognitive Modeling
- Mark Edmonds, Xiaojian Ma, Siyuan Qi, Yixin Zhu, Hongjing Lu, Song-Chun Zhu:
Theory-Based Causal Transfer: Integrating Instance-Level Induction and Abstract-Level Structure Learning. 1283-1291 - Kian Hamedani, Lingjia Liu, Shiya Liu, Haibo He, Yang Yi:
Deep Spiking Delayed Feedback Reservoirs and Its Application in Spectrum Sensing of MIMO-OFDM Dynamic Spectrum Sharing. 1292-1299 - Mark K. Ho, David Abel, Jonathan D. Cohen, Michael L. Littman, Thomas L. Griffiths:
People Do Not Just Plan, They Plan to Plan. 1300-1307 - Qianhui Liu, Haibo Ruan, Dong Xing, Huajin Tang, Gang Pan:
Effective AER Object Classification Using Segmented Probability-Maximization Learning in Spiking Neural Networks. 1308-1315 - Zuozhu Liu, Thiparat Chotibut, Christopher Hillar, Shaowei Lin:
Biologically Plausible Sequence Learning with Spiking Neural Networks.