AAAI 2020

1,794 papers

An Effective Hard Thresholding Method Based on Stochastic Variance Reduction for Nonconvex Sparse Learning

Guannan Liang, Qianqian Tong, Chunjiang Zhu, Jinbo Bi

Finding Good Subtrees for Constraint Optimization Problems Using Frequent Pattern Mining

Hongbo Li, Jimmy Lee, He Mi, Minghao Yin

Solving Set Cover and Dominating Set via Maximum Satisfiability

Zhendong Lei, Shaowei Cai

Augmenting the Power of (Partial) MaxSat Resolution with Extension

Javier Larrosa, Emma Rollon

FourierSAT: A Fourier Expansion-Based Algebraic Framework for Solving Hybrid Boolean Constraints

Anastasios Kyrillidis, Anshumali Shrivastava, Moshe Vardi, Zhiwei Zhang

Finding Most Compatible Phylogenetic Trees over Multi-State Characters

Tuukka Korhonen, Matti Järvisalo

Incremental Symmetry Breaking Constraints for Graph Search Problems

Avraham Itzhakov, Michael Codish

Modelling Diversity of Solutions

Linnea Ingmar, Maria Garcia de la Banda, Peter J. Stuckey, Guido Tack

SPAN: A Stochastic Projected Approximate Newton Method

Xunpeng Huang, Xianfeng Liang, Zhengyang Liu, Lei Li, Yue Yu

Using Approximation within Constraint Programming to Solve the Parallel Machine Scheduling Problem with Additional Unit Resources

Arthur Godet, Xavier Lorca, Emmanuel Hebrard, Gilles Simonin

MIPaaL: Mixed Integer Program as a Layer

Aaron Ferber, Bryan Wilder, Bistra Dilkina, Milind Tambe

A Cardinal Improvement to Pseudo-Boolean Solving

Jan Elffers, Jakob Nordstrm

Justifying All Differences Using Pseudo-Boolean Reasoning

Jan Elffers, Stephan Gocht, Ciaran McCreesh, Jakob Nordström

Modelling and Solving Online Optimisation Problems

Alexander Ek, Maria Garcia de la Banda, Andreas Schutt, Peter J. Stuckey, Guido Tack

ADDMC: Weighted Model Counting with Algebraic Decision Diagrams

Jeffrey Dudek, Vu Phan, Moshe Vardi

Optimization of Chance-Constrained Submodular Functions

Benjamin Doerr, Carola Doerr, Aneta Neumann, Frank Neumann, Andrew Sutton

Accelerating Primal Solution Findings for Mixed Integer Programs Based on Solution Prediction

Jian-Ya Ding, Chao Zhang, Lei Shen, Shengyin Li, Bing Wang

Dynamic Programming for Predict+Optimise

Emir Demirovi?, Peter J. Stuckey, Tias Guns, James Bailey, Christopher Leckie

Representative Solutions for Bi-Objective Optimisation

Emir Demirovi?, Nicolas Schwind

Guiding CDCL SAT Search via Random Exploration amid Conflict Depression

Md Solimul Chowdhury, Martin Müller, Jia You

Chain Length and CSPs Learnable with Few Queries

Christian Bessiere, Clément Carbonnel, George Katsirelos

Improved Filtering for the Euclidean Traveling Salesperson Problem in CLP(FD)

Alessandro Bertagnon, Marco Gavanelli

Deep Unsupervised Binary Coding Networks for Multivariate Time Series Retrieval

Dixian Zhu, Dongjin Song, Yuncong Chen, Cristian Lumezanu, Wei Cheng

Tensorized LSTM with Adaptive Shared Memory for Learning Trends in Multivariate Time Series

Dongkuan Xu, Wei Cheng, Bo Zong, Dongjin Song, Jingchao Ni

Modeling Electrical Motor Dynamics Using Encoder-Decoder with Recurrent Skip Connection

Sagar Verma, Nicolas Henwood, Marc Castella, Francois Malrait, Jean-Christophe Pesquet

End-to-End Game-Focused Learning of Adversary Behavior in Security Games

Andrew Perrault, Bryan Wilder, Eric Ewing, Aditya Mate, Bistra Dilkina

To Signal or Not To Signal: Exploiting Uncertain Real-Time Information in Signaling Games for Security and Sustainability

Elizabeth Bondi, Hoon Oh, Haifeng Xu, Fei Fang, Bistra Dilkina

M3ER: Multiplicative Multimodal Emotion Recognition using Facial, Textual, and Speech Cues

Trisha Mittal, Uttaran Bhattacharya, Rohan Chandra, Aniket Bera, Dinesh Manocha

Synch-Graph: Multisensory Emotion Recognition Through Neural Synchrony via Graph Convolutional Networks

Esma Mansouri-Benssassi, Juan Ye

STEP: Spatial Temporal Graph Convolutional Networks for Emotion Perception from Gaits

Uttaran Bhattacharya, Trisha Mittal, Rohan Chandra, Tanmay Randhavane, Aniket Bera

Machine Number Sense: A Dataset of Visual Arithmetic Problems for Abstract and Relational Reasoning

Wenhe Zhang, Chi Zhang, Yixin Zhu, Song-chun Zhu

Transfer Reinforcement Learning Using Output-Gated Working Memory

Arthur Williams, Joshua Phillips

Biologically Plausible Sequence Learning with Spiking Neural Networks

Zuozhu Liu, Thiparat Chotibut, Christopher Hillar, Shaowei Lin

Effective AER Object Classification Using Segmented Probability-Maximization Learning in Spiking Neural Networks

Qianhui Liu, Haibo Ruan, Dong Xing, Huajin Tang, Gang Pan

People Do Not Just Plan,They Plan to Plan

Mark Ho, David Abel, Jonathan Cohen, Michael Littman, Thomas Griffiths

Deep Spiking Delayed Feedback Reservoirs and Its Application in Spectrum Sensing of MIMO-OFDM Dynamic Spectrum Sharing

Kian Hamedani, Lingjia Liu, Shiya Liu, Haibo He, Yang Yi

Theory-Based Causal Transfer:Integrating Instance-Level Induction and Abstract-Level Structure Learning

Mark Edmonds, Xiaojian Ma, Siyuan Qi, Yixin Zhu, Hongjing Lu

MixedAD: A Scalable Algorithm for Detecting Mixed Anomalies in Attributed Graphs

Mengxiao Zhu, Haogang Zhu

Deep Reservoir Computing Meets 5G MIMO-OFDM Systems in Symbol Detection

Zhou Zhou, Lingjia Liu, Vikram Chandrasekhar, Jianzhong Zhang, Yang Yi

RiskOracle: A Minute-Level Citywide Traffic Accident Forecasting Framework

Zhengyang Zhou, Yang Wang, Xike Xie, Lianliang Chen, Hengchang Liu

Iteratively Questioning and Answering for Interpretable Legal Judgment Prediction

Haoxi Zhong, Yuzhong Wang, Cunchao Tu, Tianyang Zhang, Zhiyuan Liu

Index Tracking with Cardinality Constraints: A Stochastic Neural Networks Approach

Yu Zheng, Bowei Chen, Timothy M. Hospedales, Yongxin Yang

GMAN: A Graph Multi-Attention Network for Traffic Prediction

Chuanpan Zheng, Xiaoliang Fan, Cheng Wang, Jianzhong Qi

MaskGEC: Improving Neural Grammatical Error Correction via Dynamic Masking

Zewei Zhao, Houfeng Wang

OF-MSRN: Optical Flow-Auxiliary Multi-Task Regression Network for Direct Quantitative Measurement, Segmentation and Motion Estimation

Chengqian Zhao, Cheng Feng, Dengwang Li, Shuo Li

Dynamic Malware Analysis with Feature Engineering and Feature Learning

Zhaoqi Zhang, Panpan Qi, Wei Wang

A Novel Learning Framework for Sampling-Based Motion Planning in Autonomous Driving

Yifan Zhang, Jinghuai Zhang, Jindi Zhang, Jianping Wang, Kejie Lu

Shoreline: Data-Driven Threshold Estimation of Online Reserves of Cryptocurrency Trading Platforms

Xitong Zhang, He Zhu, Jiayu Zhou

Semi-Supervised Hierarchical Recurrent Graph Neural Network for City-Wide Parking Availability Prediction

Weijia Zhang, Hao Liu, Yanchi Liu, Jingbo Zhou, Hui Xiong

Spatio-Temporal Graph Structure Learning for Traffic Forecasting

Qi Zhang, Jianlong Chang, GAOFENG MENG, SHIMING XIANG, Chunhong Pan

Generating Adversarial Examples for Holding Robustness of Source Code Processing Models

Huangzhao Zhang, Zhuo Li, Ge Li, Lei Ma, Yang Liu

Geometry-Constrained Car Recognition Using a 3D Perspective Network

Zeng Rui, Ge Zongyuan, Denman Simon, Sridharan Sridha, Fookes Clinton

MetaLight: Value-Based Meta-Reinforcement Learning for Traffic Signal Control

Xinshi Zang, Huaxiu Yao, Guanjie Zheng, Nan Xu, Kai Xu

Order Matters: Semantic-Aware Neural Networks for Binary Code Similarity Detection

Zeping Yu, Rui Cao, Qiyi Tang, Sen Nie, Junzhou Huang

Towards Hands-Free Visual Dialog Interactive Recommendation

Tong Yu, Yilin Shen, Hongxia Jin

AirNet: A Calibration Model for Low-Cost Air Monitoring Sensors Using Dual Sequence Encoder Networks

Haomin Yu, Qingyong Li, Yangli-ao Geng, Yingjun Zhang, Zhi Wei

Attention Based Data Hiding with Generative Adversarial Networks

Chong Yu

Reinforcement-Learning Based Portfolio Management with Augmented Asset Movement Prediction States

Yunan Ye, Hengzhi Pei, Boxin Wang, Pin-Yu Chen, Yada Zhu

Instance-Wise Dynamic Sensor Selection for Human Activity Recognition

Xiaodong Yang, Yiqiang Chen, Hanchao Yu, Yingwei Zhang, Wang Lu

Scalable and Generalizable Social Bot Detection through Data Selection

Kai-Cheng Yang, Onur Varol, Pik-Mai Hui, Filippo Menczer

Beyond Digital Domain: Fooling Deep Learning Based Recognition System in Physical World

Kaichen Yang, Tzungyu Tsai, Honggang Yu, Tsung-Yi Ho, Yier Jin

Fairness-Aware Demand Prediction for New Mobility

An Yan, Bill Howe

Generate (Non-Software) Bugs to Fool Classifiers

Hiromu Yakura, Youhei Akimoto, Jun Sakuma

Generative Adversarial Regularized Mutual Information Policy Gradient Framework for Automatic Diagnosis

Yuan Xia, Jingbo Zhou, Zhenhui Shi, Chao Lu, Haifeng Huang

Graph Convolutional Networks with Markov Random Field Reasoning for Social Spammer Detection

Yongji Wu, Defu Lian, Yiheng Xu, Le Wu, Enhong Chen

Accelerating and Improving AlphaZero Using Population Based Training

Ti-Rong Wu, Ting-Han Wei, I-Chen Wu

DeepDualMapper: A Gated Fusion Network for Automatic Map Extraction Using Aerial Images and Trajectories

Hao Wu, Hanyuan Zhang, Xinyu Zhang, Weiwei Sun, Baihua Zheng

A Deep Neural Network Model of Particle Thermal Radiation in Packed Bed

Hao Wu, Shuang Hao

Hiding in Multilayer Networks

Marcin Waniek, Tomasz Michalak, Talal Rahwan

Urban2Vec: Incorporating Street View Imagery and POIs for Multi-Modal Urban Neighborhood Embedding

Zhecheng Wang, Haoyuan Li, Ram Rajagopal

Actor Critic Deep Reinforcement Learning for Neural Malware Control

Yu Wang, Jack Stokes, Mady Marinescu

HDK: Toward High-Performance Deep-Learning-Based Kirchhoff Analysis

Xinying Wang, Olamide Timothy Tawose, Feng Yan, Dongfang Zhao

Topic Enhanced Sentiment Spreading Model in Social Networks Considering User Interest

Xiaobao Wang, Di Jin, Katarzyna Musial, Jianwu Dang

Graph-Driven Generative Models for Heterogeneous Multi-Task Learning

Wenlin Wang, Hongteng Xu, Zhe Gan, Bai Li, Guoyin Wang

Incorporating Expert-Based Investment Opinion Signals in Stock Prediction: A Deep Learning Framework

Heyuan Wang, Tengjiao Wang, Yi Li

OMuLeT: Online Multi-Lead Time Location Prediction for Hurricane Trajectory Forecasting

Ding Wang, Boyang Liu, Pang-Ning Tan, Lifeng Luo

Robust Adversarial Objects against Deep Learning Models

Tzungyu Tsai, Kaichen Yang, Tsung-Yi Ho, Yier Jin

Finding Needles in a Moving Haystack: Prioritizing Alerts with Adversarial Reinforcement Learning

Liang Tong, Aron Laszka, Chao Yan, Ning Zhang, Yevgeniy Vorobeychik

Finding Minimum-Weight Link-Disjoint Paths with a Few Common Nodes

Binglin Tao, Mingyu Xiao, Jingyang Zhao

DATA-GRU: Dual-Attention Time-Aware Gated Recurrent Unit for Irregular Multivariate Time Series

Qingxiong Tan, Mang Ye, Baoyao Yang, Siqi Liu, Andy Jinhua Ma

Continuous Multiagent Control Using Collective Behavior Entropy for Large-Scale Home Energy Management

Jianwen Sun, YAN ZHENG, Jianye Hao, Zhaopeng Meng, Yang Liu

Spatial-Temporal Synchronous Graph Convolutional Networks: A New Framework for Spatial-Temporal Network Data Forecasting

Chao Song, Youfang Lin, Shengnan Guo, Huaiyu Wan

Effective Decoding in Graph Auto-Encoder Using Triadic Closure

Han Shi, Haozheng Fan, James T. Kwok

Spatial Classification with Limited Observations Based on Physics-Aware Structural Constraint

Arpan Man Sainju, Wenchong He, Zhe Jiang, Da Yan

Learning to Generate Maps from Trajectories

Sijie Ruan, Cheng Long, Jie Bao, Chunyang Li, Zisheng Yu

FuzzE: Fuzzy Fairness Evaluation of Offensive Language Classifiers on African-American English

Anthony Rios

Chemically Interpretable Graph Interaction Network for Prediction of Pharmacokinetic Properties of Drug-Like Molecules

Yashaswi Pathak, Siddhartha Laghuvarapu, Sarvesh Mehta, U. Deva Priyakumar

ActiveThief: Model Extraction Using Active Learning and Unannotated Public Data

Soham Pal, Yash Gupta, Aditya Shukla, Aditya Kanade, Shirish Shevade

Generalizable Resource Allocation in Stream Processing via Deep Reinforcement Learning

Xiang Ni, Jing Li, Mo Yu, Wang Zhou, Kun-Lung Wu

Gait Recognition for Co-Existing Multiple People Using Millimeter Wave Sensing

Zhen Meng, Song Fu, Jie Yan, Hongyuan Liang, Anfu Zhou

Bursting the Filter Bubble: Fairness-Aware Network Link Prediction

Farzan Masrour, Tyler Wilson, Heng Yan, Pang-Ning Tan, Abdol Esfahanian

ConCare: Personalized Clinical Feature Embedding via Capturing the Healthcare Context

Liantao Ma, Chaohe Zhang, Yasha Wang, Wenjie Ruan, Jiangtao Wang

AdaCare: Explainable Clinical Health Status Representation Learning via Scale-Adaptive Feature Extraction and Recalibration

Liantao Ma, Junyi Gao, Yasha Wang, Chaohe Zhang, Jiangtao Wang

Learning Multi-Modal Biomarker Representations via Globally Aligned Longitudinal Enrichments

Lyujian Lu, Saad Elbeleidy, Lauren Zoe Baker, Hua Wang

Learning Geo-Contextual Embeddings for Commuting Flow Prediction

Zhicheng Liu, Fabio Miranda, Weiting Xiong, Junyan Yang, Qiao Wang

PSENet: Psoriasis Severity Evaluation Network

Yi Li, Zhe Wu, Shuang Zhao, Xian Wu, Yehong Kuang

MRI Reconstruction with Interpretable Pixel-Wise Operations Using Reinforcement Learning

Wentian Li, Xidong Feng, Haotian An, Xiang Yao Ng, Yu-Jin Zhang

Privacy-Preserving Gradient Boosting Decision Trees

Qinbin Li, Zhaomin Wu, Zeyi Wen, Bingsheng He

Towards Cross-Modality Medical Image Segmentation with Online Mutual Knowledge Distillation

Kang Li, Lequan Yu, Shujun WANG, Pheng-Ann Heng

Robust Low-Rank Discovery of Data-Driven Partial Differential Equations

Jun Li, Gan Sun, Guoshuai Zhao, Li-wei H. Lehman