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ORCID35th AAAI 2021: Virtual Event
- Thirty-Fifth AAAI Conference on Artificial Intelligence, AAAI 2021, Thirty-Third Conference on Innovative Applications of Artificial Intelligence, IAAI 2021, The Eleventh Symposium on Educational Advances in Artificial Intelligence, EAAI 2021, Virtual Event, February 2-9, 2021. AAAI Press 2021, ISBN 978-1-57735-866-4
AAAI-21 Technical Tracks 1
AAAI Technical Track on Application Domains
- Barrett R. Anderson, Adam M. Smith:
The Undergraduate Games Corpus: A Dataset for Machine Perception of Interactive Media. 3-11 - Kumar Ayush, Burak Uzkent, Kumar Tanmay, Marshall Burke, David B. Lobell, Stefano Ermon:
Efficient Poverty Mapping from High Resolution Remote Sensing Images. 12-20 - Haris Aziz, Ágnes Cseh, John P. Dickerson, Duncan C. McElfresh:
Optimal Kidney Exchange with Immunosuppressants. 21-29 - Nghi D. Q. Bui, Yijun Yu, Lingxiao Jiang:
TreeCaps: Tree-Based Capsule Networks for Source Code Processing. 30-38 - Yixuan Cao
, Feng Hong, Hongwei Li, Ping Luo:
A Bottom-Up DAG Structure Extraction Model for Math Word Problems. 39-46 - Zhen Chen, Jun Zhang, Shuanlong Che, Junzhou Huang, Xiao Han, Yixuan Yuan:
Diagnose Like A Pathologist: Weakly-Supervised Pathologist-Tree Network for Slide-Level Immunohistochemical Scoring. 47-54 - Rui Cheng, Qing Li:
Modeling the Momentum Spillover Effect for Stock Prediction via Attribute-Driven Graph Attention Networks. 55-62 - Abir De, Soumen Chakrabarti:
Differentially Private Link Prediction with Protected Connections. 63-71 - Utkarsh Desai, Sambaran Bandyopadhyay, Srikanth Tamilselvam:
Graph Neural Network to Dilute Outliers for Refactoring Monolith Application. 72-80 - Yaqian Dun, Kefei Tu, Chen Chen, Chunyan Hou, Xiaojie Yuan:
KAN: Knowledge-aware Attention Network for Fake News Detection. 81-89 - Chinmoy Dutta:
When Hashing Met Matching: Efficient Spatio-Temporal Search for Ridesharing. 90-98 - Yue Fan, Xiuli Ma:
Gene Regulatory Network Inference using 3D Convolutional Neural Network. 99-106 - Yuchen Fang, Kan Ren, Weiqing Liu, Dong Zhou, Weinan Zhang, Jiang Bian, Yong Yu, Tie-Yan Liu:
Universal Trading for Order Execution with Oracle Policy Distillation. 107-115 - Chun-Mei Feng, Zhanyuan Yang, Geng Chen, Yong Xu, Ling Shao:
Dual-Octave Convolution for Accelerated Parallel MR Image Reconstruction. 116-124 - Tianfan Fu, Cao Xiao, Xinhao Li, Lucas M. Glass, Jimeng Sun:
MIMOSA: Multi-constraint Molecule Sampling for Molecule Optimization. 125-133 - Tomer Golany, Daniel Freedman, Kira Radinsky:
ECG ODE-GAN: Learning Ordinary Differential Equations of ECG Dynamics via Generative Adversarial Learning. 134-141 - Sai Krishna Gottipati, Yashaswi Pathak, Boris Sattarov, Sahir, Rohan Nuttall, Mohammad Amini, Matthew E. Taylor, Sarath Chandar:
Towered Actor Critic For Handling Multiple Action Types In Reinforcement Learning For Drug Discovery. 142-150 - Kan Guo, Yongli Hu, Yanfeng Sun, Sean Qian, Junbin Gao, Baocai Yin:
Hierarchical Graph Convolution Network for Traffic Forecasting. 151-159 - Yue Guo, Wei Qiu, Yizhong Wang, Trevor Cohen:
Automated Lay Language Summarization of Biomedical Scientific Reviews. 160-168 - Sijie He, Xinyan Li, Timothy DelSole, Pradeep Ravikumar, Arindam Banerjee:
Sub-Seasonal Climate Forecasting via Machine Learning: Challenges, Analysis, and Advances. 169-177 - Wen-Yi Hsiao, Jen-Yu Liu, Yin-Cheng Yeh, Yi-Hsuan Yang:
Compound Word Transformer: Learning to Compose Full-Song Music over Dynamic Directed Hypergraphs. 178-186 - Jiawen Huang, Ju-Chiang Wang, Jordan B. L. Smith, Xuchen Song, Yuxuan Wang:
Modeling the Compatibility of Stem Tracks to Generate Music Mashups. 187-195 - Junjie Huang, Huawei Shen, Liang Hou, Xueqi Cheng:
SDGNN: Learning Node Representation for Signed Directed Networks. 196-203 - Yiyan Huang, Cheuk Hang Leung, Xing Yan, Qi Wu, Nanbo Peng, Dongdong Wang, Zhixiang Huang:
The Causal Learning of Retail Delinquency. 204-212 - Kentaro Imajo, Kentaro Minami, Katsuya Ito, Kei Nakagawa:
Deep Portfolio Optimization via Distributional Prediction of Residual Factors. 213-222 - Valentin Iovene, Gaston E. Zanitti, Demian Wassermann:
Complex Coordinate-Based Meta-Analysis with Probabilistic Programming. 223-231 - Houye Ji, Junxiong Zhu, Xiao Wang, Chuan Shi, Bai Wang, Xiaoye Tan, Yanghua Li, Shaojian He:
Who You Would Like to Share With? A Study of Share Recommendation in Social E-commerce. 232-239 - Fahad Kamran, Jenna Wiens:
Estimating Calibrated Individualized Survival Curves with Deep Learning. 240-248 - Rohan S. Kodialam, Rebecca Boiarsky, Justin Lim, Aditya Sai, Neil Dixit, David A. Sontag:
Deep Contextual Clinical Prediction with Reverse Distillation. 249-258 - Li-Cheng Lan, Ti-Rong Wu, I-Chen Wu, Cho-Jui Hsieh:
Learning to Stop: Dynamic Simulation Monte-Carlo Tree Search. 259-267 - Jihyeon Janel Lee, Dylan Grosz, Burak Uzkent, Sicheng Zeng, Marshall Burke, David B. Lobell, Stefano Ermon:
Predicting Livelihood Indicators from Community-Generated Street-Level Imagery. 268-276 - Kookjin Lee, Kevin T. Carlberg:
Deep Conservation: A Latent-Dynamics Model for Exact Satisfaction of Physical Conservation Laws. 277-285 - Bing Li, Wei Cui, Wei Wang, Le Zhang, Zhenghua Chen, Min Wu:
Two-Stream Convolution Augmented Transformer for Human Activity Recognition. 286-293 - Mingqian Li, Panrong Tong, Mo Li, Zhongming Jin, Jianqiang Huang, Xian-Sheng Hua:
Traffic Flow Prediction with Vehicle Trajectories. 294-302 - Yu Li, Yi Zhang, Lu Gan, Gengwei Hong, Zimu Zhou, Qiang Li:
RevMan: Revenue-aware Multi-task Online Insurance Recommendation. 303-310 - Jiangke Lin, Yi Yuan, Zhengxia Zou:
MeInGame: Create a Game Character Face from a Single Portrait. 311-319 - Hao Liu, Qiyu Wu, Fuzhen Zhuang, Xinjiang Lu, Dejing Dou, Hui Xiong:
Community-Aware Multi-Task Transportation Demand Prediction. 320-327 - Lewis Liu, Kun Zhao:
Asynchronous Stochastic Gradient Descent for Extreme-Scale Recommender Systems. 328-335 - Lijuan Liu, Yin Yang, Yi Yuan, Tianjia Shao, He Wang, Kun Zhou:
In-game Residential Home Planning via Visual Context-aware Global Relation Learning. 336-343 - Ping Liu, Mustafa Bilgic:
Relational Classification of Biological Cells in Microscopy Images. 344-352 - Xueting Liu, Wenliang Wu, Huisi Wu, Zhenkun Wen:
Deep Style Transfer for Line Drawings. 353-361 - Ziyi Liu, Fulin Luo, Bo Du:
RNA Secondary Structure Representation Network for RNA-proteins Binding Prediction. 362-370 - Yuan Luo, Chengsheng Mao:
PANTHER: Pathway Augmented Nonnegative Tensor Factorization for HighER-order Feature Learning. 371-380 - Julian R. H. Mariño, Rubens O. Moraes, Tassiana C. Oliveira, Cláudio Toledo, Levi H. S. Lelis:
Programmatic Strategies for Real-Time Strategy Games. 381-389 - Christos Markos, James J. Q. Yu, Richard Yi Da Xu:
Capturing Uncertainty in Unsupervised GPS Trajectory Segmentation Using Bayesian Deep Learning. 390-398 - Rambod Mojgani, Maciej Balajewicz:
Low-Rank Registration Based Manifolds for Convection-Dominated PDEs. 399-407 - Aashiq Muhamed, Liang Li, Xingjian Shi, Suri Yaddanapudi, Wayne Chi, Dylan Jackson, Rahul Suresh, Zachary C. Lipton, Alexander J. Smola:
Symbolic Music Generation with Transformer-GANs. 408-417 - Corey J. Nolet, Victor Lafargue, Edward Raff, Thejaswi Nanditale, Tim Oates, John Zedlewski, Joshua Patterson:
Bringing UMAP Closer to the Speed of Light with GPU Acceleration. 418-426 - Sheena Panthaplackel, Junyi Jessy Li, Milos Gligoric, Raymond J. Mooney:
Deep Just-In-Time Inconsistency Detection Between Comments and Source Code. 427-435 - Cheng Peng, Haofu Liao, Gina Wong, Jiebo Luo, S. Kevin Zhou, Rama Chellappa:
XraySyn: Realistic View Synthesis From a Single Radiograph Through CT Priors. 436-444 - Gabriel Poesia, Noah D. Goodman:
Pragmatic Code Autocomplete. 445-452 - P. K. S. Prakash, Srinivas Chilukuri, Nikhil Ranade, Shankar Viswanathan:
RareBERT: Transformer Architecture for Rare Disease Patient Identification using Administrative Claims. 453-460 - Majid Raeis, Ali Tizghadam, Alberto Leon-Garcia:
Queue-Learning: A Reinforcement Learning Approach for Providing Quality of Service. 461-468 - Edward Raff:
Research Reproducibility as a Survival Analysis. 469-478 - Md. Mahmudur Rahman, Koji Matsuo, Shinya Matsuzaki, Sanjay Purushotham:
DeepPseudo: Pseudo Value Based Deep Learning Models for Competing Risk Analysis. 479-487 - Pritam Sarkar, Ali Etemad:
CardioGAN: Attentive Generative Adversarial Network with Dual Discriminators for Synthesis of ECG from PPG. 488-496 - Ramit Sawhney, Shivam Agarwal, Arnav Wadhwa, Tyler Derr, Rajiv Ratn Shah:
Stock Selection via Spatiotemporal Hypergraph Attention Network: A Learning to Rank Approach. 497-504 - Peter Schaldenbrand, Jean Oh:
Content Masked Loss: Human-Like Brush Stroke Planning in a Reinforcement Learning Painting Agent. 505-512 - Eugene Seo, Rebecca A. Hutchinson, Xiao Fu, Chelsea Li, Tyler A. Hallman, John Kilbride, W. Douglas Robinson:
StatEcoNet: Statistical Ecology Neural Networks for Species Distribution Modeling. 513-521 - Hoon Seo, Lodewijk Brand, Hua Wang, Feiping Nie:
Integrating Static and Dynamic Data for Improved Prediction of Cognitive Declines Using Augmented Genotype-Phenotype Representations. 522-530 - Seung-Woo Seo, You Young Song, June Yong Yang, Seohui Bae, Hankook Lee, Jinwoo Shin, Sung Ju Hwang, Eunho Yang:
GTA: Graph Truncated Attention for Retrosynthesis. 531-539 - Rongye Shi, Zhaobin Mo, Xuan Di:
Physics-Informed Deep Learning for Traffic State Estimation: A Hybrid Paradigm Informed By Second-Order Traffic Models. 540-547 - Zijian Shi, Yu Chen, John Cartlidge:
The LOB Recreation Model: Predicting the Limit Order Book from TAQ History Using an Ordinary Differential Equation Recurrent Neural Network. 548-556 - Amila Silva, Ling Luo, Shanika Karunasekera, Christopher Leckie:
Embracing Domain Differences in Fake News: Cross-domain Fake News Detection using Multi-modal Data. 557-565 - Weinan Song, Yuan Liang, Jiawei Yang, Kun Wang, Lei He:
Oral-3D: Reconstructing the 3D Structure of Oral Cavity from Panoramic X-ray. 566-573 - Liucheng Sun, Chenwei Weng, Chengfu Huo, Weijun Ren, Guochuan Zhang, Xin Li:
Traffic Shaping in E-Commercial Search Engine: Multi-Objective Online Welfare Maximization. 574-581 - Xiangyun Tang, Dongliang Liao, Weijie Huang, Jin Xu, Liehuang Zhu, Meng Shen:
Fully Exploiting Cascade Graphs for Real-time Forwarding Prediction. 582-590 - Donna Tjandra, Yifei He, Jenna Wiens:
A Hierarchical Approach to Multi-Event Survival Analysis. 591-599 - Ruben Tolosana, Paula Delgado-Santos, Andrés Pérez-Uribe, Rubén Vera-Rodríguez, Julian Fiérrez, Aythami Morales:
DeepWriteSYN: On-Line Handwriting Synthesis via Deep Short-Term Representations. 600-608 - Zhengyan Tong, Xuanhong Chen, Bingbing Ni, Xiaohang Wang:
Sketch Generation with Drawing Process Guided by Vector Flow and Grayscale. 609-616 - Qin Wang, Boyuan Wang, Zhenlei Xu, Jiaxiang Wu, Peilin Zhao, Zhen Li, Sheng Wang, Junzhou Huang, Shuguang Cui:
PSSM-Distil: Protein Secondary Structure Prediction (PSSP) on Low-Quality PSSM by Knowledge Distillation with Contrastive Learning. 617-625 - Rundong Wang, Hongxin Wei, Bo An, Zhouyan Feng, Jun Yao:
Commission Fee is not Enough: A Hierarchical Reinforced Framework for Portfolio Management. 626-633 - Shuxin Wang, Shilei Cao, Dong Wei, Cong Xie, Kai Ma, Liansheng Wang, Deyu Meng, Yefeng Zheng:
Alternative Baselines for Low-Shot 3D Medical Image Segmentation - An Atlas Perspective. 634-642 - Zhicheng Wang, Biwei Huang, Shikui Tu, Kun Zhang, Lei Xu:
DeepTrader: A Deep Reinforcement Learning Approach for Risk-Return Balanced Portfolio Management with Market Conditions Embedding. 643-650 - Yinjun Wu, Jingchao Ni, Wei Cheng, Bo Zong, Dongjin Song, Zhengzhang Chen, Yanchi Liu, Xuchao Zhang, Haifeng Chen, Susan B. Davidson:
Dynamic Gaussian Mixture based Deep Generative Model For Robust Forecasting on Sparse Multivariate Time Series. 651-659 - Hengrui Xing, Ansaf Salleb-Aouissi, Nakul Verma:
Automated Symbolic Law Discovery: A Computer Vision Approach. 660-668 - Bingyu Xu, Yaowei Wang, Zhaozhi Wang, Huizhu Jia, Zongqing Lu:
Hierarchically and Cooperatively Learning Traffic Signal Control. 669-677 - Qianqian Xu, Zhiyong Yang, Zuyao Chen, Yangbangyan Jiang, Xiaochun Cao, Yuan Yao, Qingming Huang:
Deep Partial Rank Aggregation for Personalized Attributes. 678-688 - Chengcheng Yang, Lisi Chen, Hao Wang, Shuo Shang:
Towards Efficient Selection of Activity Trajectories based on Diversity and Coverage. 689-696 - Siqi Yang, Jun Zhang, Junzhou Huang, Brian C. Lovell, Xiao Han:
Minimizing Labeling Cost for Nuclei Instance Segmentation and Classification with Cross-domain Images and Weak Labels. 697-705 - Xinghao Yang, Weifeng Liu, James Bailey, Dacheng Tao, Wei Liu:
Bigram and Unigram Based Text Attack via Adaptive Monotonic Heuristic Search. 706-714 - Chaohe Zhang, Xin Gao, Liantao Ma, Yasha Wang, Jiangtao Wang, Wen Tang:
GRASP: Generic Framework for Health Status Representation Learning Based on Incorporating Knowledge from Similar Patients. 715-723 - Xinyu Zhang, Yirui Wang, Chi-Tung Cheng, Le Lu, Adam P. Harrison, Jing Xiao, Chien-Hung Liao, Shun Miao:
Window Loss for Bone Fracture Detection and Localization in X-ray Images with Point-based Annotation. 724-732 - Ying Zhang, Yifang Yin, Zhenguang Liu, Roger Zimmermann:
A Spatial Regulated Patch-Wise Approach for Cervical Dysplasia Diagnosis. 733-740 - Hang Zhao, Qijin She, Chenyang Zhu, Yin Yang, Kai Xu:
Online 3D Bin Packing with Constrained Deep Reinforcement Learning. 741-749 - Xiangyu Zhao, Changsheng Gu, Haoshenglun Zhang, Xiwang Yang, Xiaobing Liu, Jiliang Tang, Hui Liu:
DEAR: Deep Reinforcement Learning for Online Advertising Impression in Recommender Systems. 750-758 - Xianda Zheng, Yuan-Fang Li, Huan Gao, Yuncheng Hua, Guilin Qi:
Towards Balanced Defect Prediction with Better Information Propagation. 759-767 - Yi Zhou, Lei Huang, Tianfei Zhou, Ling Shao:
Many-to-One Distribution Learning and K-Nearest Neighbor Smoothing for Thoracic Disease Identification. 768-776
AAAI Technical Track on Cognitive Modeling and Cognitive Systems
- Fahad Alhasoun, Sarah Alnegheimish:
Probabilistic Programming Bots in Intuitive Physics Game Play. 778-783 - Soumya Chatterjee, Pradeep Shenoy:
Model-Agnostic Fits for Understanding Information Seeking Patterns in Humans. 784-791 - Haiyang Chen, Hyung Jin Chang, Andrew Howes:
Apparently Irrational Choice as Optimal Sequential Decision Making. 792-800 - Kezhen Chen, Kenneth D. Forbus:
Visual Relation Detection using Hybrid Analogical Learning. 801-808 - Maxwell Crouse, Constantine Nakos, Ibrahim Abdelaziz, Kenneth D. Forbus:
Neural Analogical Matching. 809-817 - Arun Das, Jeffrey Mock, Yufei Huang, Edward J. Golob, Peyman Najafirad:
Interpretable Self-Supervised Facial Micro-Expression Learning to Predict Cognitive State and Neurological Disorders. 818-826 - Dimitris Gkoumas, Qiuchi Li, Shahram Dehdashti, Massimo Melucci, Yijun Yu, Dawei Song:
Quantum Cognitively Motivated Decision Fusion for Video Sentiment Analysis. 827-835 - Hak Gu Kim, Sangmin Lee, Seongyeop Kim, Heoun-taek Lim, Yong Man Ro:
Towards a Better Understanding of VR Sickness: Physical Symptom Prediction for VR Contents. 836-844 - Aviv Netanyahu, Tianmin Shu, Boris Katz, Andrei Barbu, Joshua B. Tenenbaum:
PHASE: PHysically-grounded Abstract Social Events for Machine Social Perception. 845-853 - Yoon-Je Suh, Byung Hyung Kim:
Riemannian Embedding Banks for Common Spatial Patterns with EEG-based SPD Neural Networks. 854-862 - Li-Ming Zhao, Xu Yan, Bao-Liang Lu:
Plug-and-Play Domain Adaptation for Cross-Subject EEG-based Emotion Recognition. 863-870
AAAI-21 Technical Tracks 2
AAAI Technical Track on Computer Vision I
- Shahira Abousamra, Minh Hoai, Dimitris Samaras, Chao Chen:
Localization in the Crowd with Topological Constraints. 872-881 - Soikat Hasan Ahmed, Hae Woong Jang, S. M. Nadim Uddin, Yong Ju Jung:
Deep Event Stereo Leveraged by Event-to-Image Translation. 882-890 - Dawit Mureja Argaw, Junsik Kim, François Rameau, Jae-Won Cho, In So Kweon:
Optical Flow Estimation from a Single Motion-blurred Image. 891-900 - Dawit Mureja Argaw, Junsik Kim, François Rameau, In So Kweon:
Motion-blurred Video Interpolation and Extrapolation. 901-910 - Inhwan Bae, Hae-Gon Jeon:
Disentangled Multi-Relational Graph Convolutional Network for Pedestrian Trajectory Prediction. 911-919 - Peijun Bao, Qian Zheng, Yadong Mu:
Dense Events Grounding in Video. 920-928 - Ardhendu Behera, Zachary Wharton, Pradeep R. P. G. Hewage, Asish Bera:
Context-aware Attentional Pooling (CAP) for Fine-grained Visual Classification. 929-937 - Ruichu Cai, Hao Zhang, Wen Liu, Shenghua Gao, Zhifeng Hao:
Appearance-Motion Memory Consistency Network for Video Anomaly Detection. 938-946 - Yuanqiang Cai, Longyin Wen, Libo Zhang, Dawei Du, Weiqiang Wang:
Rethinking Object Detection in Retail Stores. 947-954 - Yuxuan Cai, Hongjia Li, Geng Yuan, Wei Niu, Yanyu Li, Xulong Tang, Bin Ren, Yanzhi Wang:
YOLObile: Real-Time Object Detection on Mobile Devices via Compression-Compilation Co-Design. 955-963 - Vincent Cartillier, Zhile Ren, Neha Jain, Stefan Lee, Irfan Essa, Dhruv Batra:
Semantic MapNet: Building Allocentric Semantic Maps and Representations from Egocentric Views. 964-972 - Kelvin C. K. Chan, Xintao Wang, Ke Yu, Chao Dong, Chen Change Loy:
Understanding Deformable Alignment in Video Super-Resolution. 973-981 - Binghui Chen, Pengyu Li, Zhaoyi Yan, Biao Wang, Lei Zhang:
Deep Metric Learning with Graph Consistency. 982-990 - Boyo Chen, Buo-Fu Chen, Chun-Min Hsiao:
CNN Profiler on Polar Coordinate Images for Tropical Cyclone Structure Analysis. 991-998 - Hong Chen, Yifei Huang, Hiroya Takamura, Hideki Nakayama:
Commonsense Knowledge Aware Concept Selection For Diverse and Informative Visual Storytelling. 999-1008 - Jiaxin Chen, Shuo Zhang, Youfang Lin:
Attention-based Multi-Level Fusion Network for Light Field Depth Estimation. 1009-1017 - Jierun Chen, Song Wen, S.-H. Gary Chan:
Joint Demosaicking and Denoising in the Wild: The Case of Training Under Ground Truth Uncertainty. 1018-1026 - Jin Chen, Xinxiao Wu, Yao Hu, Jiebo Luo:
Spatial-temporal Causal Inference for Partial Image-to-video Adaptation. 1027-1035 - Long Chen, Wenbo Ma, Jun Xiao, Hanwang Zhang, Shih-Fu Chang:
Ref-NMS: Breaking Proposal Bottlenecks in Two-Stage Referring Expression Grounding. 1036-1044