IJCAI 2020

778 papers

Graph Neural Networks Meet Neural-Symbolic Computing: A Survey and Perspective

Luis C. Lamb, Artur d’Avila Garcez, Marco Gori, Marcelo O.R. Prates, Pedro H.C. Avelar

A Brief History of Learning Symbolic Higher-Level Representations from Data (And a Curious Look Forward)

Stefan Kramer

Heterogeneous Network Representation Learning

Yuxiao Dong, Ziniu Hu, Kuansan Wang, Yizhou Sun, Jie Tang

From Standard Summarization to New Tasks and Beyond: Summarization with Manifold Information

Shen Gao, Xiuying Chen, Zhaochun Ren, Dongyan Zhao, Rui Yan

Goal Recognition Design - Survey

Sarah Keren, Avigdor Gal, Erez Karpas

The Blind Men and the Elephant: Integrated Offline/Online Optimization Under Uncertainty

Allegra De Filippo, Michele Lombardi, Michela Milano

Turning 30: New Ideas in Inductive Logic Programming

Andrew Cropper, Sebastijan Dumancic, Stephen H. Muggleton

A Survey on Computational Propaganda Detection

Giovanni Da San Martino, Stefano Cresci, Alberto Barrón-Cedeño, Seunghak Yu, Roberto Di Pietro

Automatic Curriculum Learning For Deep RL: A Short Survey

Rémy Portelas, Cédric Colas, Lilian Weng, Katja Hofmann, Pierre-yves Oudeyer

Explanation Perspectives from the Cognitive Sciences---A Survey

Ramya Srinivasan, Ajay Chander

The Emerging Landscape of Explainable Automated Planning & Decision Making

Tathagata Chakraborti, Sarath Sreedharan, Subbarao Kambhampati

Survey on Feature Transformation Techniques for Data Streams

Maroua Bahri, Albert Bifet, Silviu Maniu, Heitor Murilo Gomes

Bridging the Gap between Training and Inference for Neural Machine Translation (Extended Abstract)

Wen Zhang, Yang Feng, Qun Liu

A User Interface for Exploring and Querying Knowledge Graphs (Extended Abstract)

Hernán Vargas, Carlos Buil-Aranda, Aidan Hogan, Claudia López

Deep Visuo-Tactile Learning: Estimation of Tactile Properties from Images (Extended Abstract)

Kuniyuki Takahashi, Jethro Tan

Bidirectional Heuristic Search: Expanding Nodes by a Lower Bound

Shahaf Shperberg, Ariel Felner, Nathan Sturtevant, Eyal Shimony, Avi Hayoun

Lagrangian Decomposition for Classical Planning (Extended Abstract)

Florian Pommerening, Gabriele Röger, Malte Helmert, Hadrien Cambazad, Louis-Martin Rousseau

Learning Optimal Decision Trees using Constraint Programming (Extended Abstract)

Hélène Verhaeghe, Siegfried Nijssen, Gilles Pesant, Claude-Guy Quimper, Pierre Schaus

Commonsense Reasoning to Guide Deep Learning for Scene Understanding (Extended Abstract)

Mohan Sridharan, Tiago Mota

Supporting Historical Photo Identification with Face Recognition and Crowdsourced Human Expertise (Extended Abstract)

Vikram Mohanty, David Thames, Sneha Mehta, Kurt Luther

NSGA-Net: Neural Architecture Search using Multi-Objective Genetic Algorithm (Extended Abstract)

Zhichao Lu, Ian Whalen, Yashesh Dhebar, Kalyanmoy Deb, Erik Goodman

Specializing Word Embeddings (for Parsing) by Information Bottleneck (Extended Abstract)

Xiang Lisa Li, Jason Eisner

Bayesian Case-Exclusion and Personalized Explanations for Sustainable Dairy Farming (Extended Abstract)

Eoin M. Kenny, Elodie Ruelle, Anne Geoghegan, Laurence Shalloo, Micheál O'Leary

Human Values and Digital Patterns in Physical Exercise (Extended Abstract)

Yelena Mejova, Kyriaki Kalimeri

Learning URI Selection Criteria to Improve the Crawling of Linked Open Data (Extended Abstract)

Hai Huang, Fabien Gandon

Statistical Learning with a Nuisance Component (Extended Abstract)

Dylan J. Foster, Vasilis Syrgkanis

On the Splitting Property for Epistemic Logic Programs (Extended Abstract)

Pedro Cabalar, Jorge Fandinno, Luis Fariñas del Cerro

A Formal Approach for Cautious Reasoning in Answer Set Programming (Extended Abstract)

Giovanni Amendola, Carmine Dodaro, Marco Maratea

Playing Atari with Six Neurons (Extended Abstract)

Giuseppe Cuccu, Julian Togelius, Philippe Cudré-Mauroux

Methodological Issues in Recommender Systems Research (Extended Abstract)

Maurizio Ferrari Dacrema, Paolo Cremonesi, Dietmar Jannach

Emoji-Powered Representation Learning for Cross-Lingual Sentiment Classification (Extended Abstract)

Zhenpeng Chen, Sheng Shen, Ziniu Hu, Xuan Lu, Qiaozhu Mei

VAEP: An Objective Approach to Valuing On-the-Ball Actions in Soccer (Extended Abstract)

Tom Decroos, Lotte Bransen, Jan Van Haaren, Jesse Davis

Hierarchical Reinforcement Learning for Pedagogical Policy Induction (Extended Abstract)

Guojing Zhou, Hamoon Azizsoltani, Markel Sanz Ausin, Tiffany Barnes, Min Chi

Online Portfolio Selection with Cardinality Constraint and Transaction Costs based on Contextual Bandit

Mengying Zhu, Xiaolin Zheng, Yan Wang, Qianqiao Liang, Wenfang Zhang

Interpretable Multimodal Learning for Intelligent Regulation in Online Payment Systems

Shuoyao Wang, Diwei Zhu

A Unified Model for Financial Event Classification, Detection and Summarization

Quanzhi Li, Qiong Zhang

Financial Risk Analysis for SMEs with Graph-based Supply Chain Mining

Shuo Yang, Zhiqiang Zhang, Jun Zhou, Yang Wang, Wang SUN

Federated Meta-Learning for Fraudulent Credit Card Detection

Wenbo Zheng, Lan Yan, Chao Gou, Fei-Yue Wang

Relation-Aware Transformer for Portfolio Policy Learning

Ke Xu, Yifan Zhang, Deheng Ye, Peilin Zhao, Mingkui Tan

Hierarchical Multi-Scale Gaussian Transformer for Stock Movement Prediction

Qianggang Ding, Sifan Wu, Hao Sun, Jiadong Guo, Jian Guo

Two-stage Behavior Cloning for Spoken Dialogue System in Debt Collection

Zihao Wang, Jia Liu, Hengbin Cui, Chunxiang Jin, Minghui Yang

Market Manipulation: An Adversarial Learning Framework for Detection and Evasion

Xintong Wang, Michael P. Wellman

Financial Thought Experiment: A GAN-based Approach to Vast Robust Portfolio Selection

Chi Seng Pun, Lei Wang, Hoi Ying Wong

The Behavioral Sign of Account Theft: Realizing Online Payment Fraud Alert

Cheng Wang

Infochain: A Decentralized, Trustless and Transparent Oracle on Blockchain

Naman Goel, Cyril van Schreven, Aris Filos-Ratsikas, Boi Faltings

``The Squawk Bot'': Joint Learning of Time Series and Text Data Modalities for Automated Financial Information Filtering

Xuan-Hong Dang, Syed Yousaf Shah, Petros Zerfos

Robust Market Making via Adversarial Reinforcement Learning

Thomas Spooner, Rahul Savani

Risk-Averse Trust Region Optimization for Reward-Volatility Reduction

Lorenzo Bisi, Luca Sabbioni, Edoardo Vittori, Matteo Papini, Marcello Restelli

Financial Risk Prediction with Multi-Round Q&A Attention Network

Zhen Ye, Yu Qin, Wei Xu

WATTNet: Learning to Trade FX via Hierarchical Spatio-Temporal Representation of Highly Multivariate Time Series

Michael Poli, Jinkyoo Park, Ilija Ilievski

RM-CVaR: Regularized Multiple β-CVaR Portfolio

Kei Nakagawa, Shuhei Noma, Masaya Abe

Multi-scale Two-way Deep Neural Network for Stock Trend Prediction

Guang Liu, Yuzhao Mao, Qi Sun, Hailong Huang, Weiguo Gao

An End-to-End Optimal Trade Execution Framework based on Proximal Policy Optimization

Siyu Lin, Peter A. Beling

Modeling the Stock Relation with Graph Network for Overnight Stock Movement Prediction

Wei Li, Ruihan Bao, Keiko Harimoto, Deli Chen, Jingjing Xu

IGNITE: A Minimax Game Toward Learning Individual Treatment Effects from Networked Observational Data

Ruocheng Guo, Jundong Li, Yichuan Li, K. Selcuk Candan, Adrienne Raglin

A Two-level Reinforcement Learning Algorithm for Ambiguous Mean-variance Portfolio Selection Problem

Xin Huang, Duan Li

MAPS: Multi-Agent reinforcement learning-based Portfolio management System.

Jinho Lee, Raehyun Kim, Seok-Won Yi, Jaewoo Kang

FinBERT: A Pre-trained Financial Language Representation Model for Financial Text Mining

Zhuang Liu, Degen Huang, Kaiyu Huang, Zhuang Li, Jun Zhao

Phishing Scam Detection on Ethereum: Towards Financial Security for Blockchain Ecosystem

Weili Chen, Xiongfeng Guo, Zhiguang Chen, Zibin Zheng, Yutong Lu

SEBF: A Single-Chain based Extension Model of Blockchain for Fintech

Yimu Ji, Weiheng Gu, Fei Chen, Xiaoying Xiao, Jing Sun

F-HMTC: Detecting Financial Events for Investment Decisions Based on Neural Hierarchical Multi-Label Text Classification

Xin Liang, Dawei Cheng, Fangzhou Yang, Yifeng Luo, Weining Qian

Risk Guarantee Prediction in Networked-Loans

Dawei Cheng, Xiaoyang Wang, Ying Zhang, Liqing Zhang

Task-Based Learning via Task-Oriented Prediction Network with Applications in Finance

Di Chen, Yada Zhu, Xiaodong Cui, Carla Gomes

Vector Autoregressive Weighting Reversion Strategy for Online Portfolio Selection

Xia Cai

Data-Driven Market-Making via Model-Free Learning

Yueyang Zhong, YeeMan Bergstrom, Amy Ward

A Quantum-inspired Entropic Kernel for Multiple Financial Time Series Analysis

Lu Bai, Lixin Cui, Yue Wang, Yuhang Jiao, Edwin R. Hancock

Deep Semantic Compliance Advisor for Unstructured Document Compliance Checking

Honglei Guo, Bang An, Zhili Guo, Zhong Su

BitcoinHeist: Topological Data Analysis for Ransomware Prediction on the Bitcoin Blockchain

Cuneyt G. Akcora, Yitao Li, Yulia R. Gel, Murat Kantarcioglu

Multi-View Joint Graph Representation Learning for Urban Region Embedding

Mingyang Zhang, Tong Li, Yong Li, Pan Hui

PewLSTM: Periodic LSTM with Weather-Aware Gating Mechanism for Parking Behavior Prediction

Feng Zhang, Ningxuan Feng, Yani Liu, Cheng Yang, Jidong Zhai

Real-Time Dispatching of Large-Scale Ride-Sharing Systems: Integrating Optimization, Machine Learning, and Model Predictive Control

Connor Riley, Pascal Van Hentenryck, Enpeng Yuan

Generating Interpretable Poverty Maps using Object Detection in Satellite Images

Kumar Ayush, Burak Uzkent, Marshall Burke, David Lobell, Stefano Ermon

Discrete Biorthogonal Wavelet Transform Based Convolutional Neural Network for Atrial Fibrillation Diagnosis from Electrocardiogram

Qingsong Xie, Shikui Tu, Guoxing Wang, Yong Lian, Lei Xu

Who Am I?: Towards Social Self-Awareness for Intelligent Agents

Budhitama Subagdja, Han Yi Tay, Ah-Hwee Tan

Optimal and Non-Discriminative Rehabilitation Program Design for Opioid Addiction Among Homeless Youth

Amulya Yadav, Roopali Singh, Nikolas Siapoutis, Anamika Barman-Adhikari, Yu Liang

Forecasting Avian Migration Patterns using a Deep Bidirectional RNN Augmented with an Auxiliary Task

Kehinde Owoeye

Deep Hurdle Networks for Zero-Inflated Multi-Target Regression: Application to Multiple Species Abundance Estimation

Shufeng Kong, Junwen Bai, Jae Hee Lee, Di Chen, Andrew Allyn

Harnessing Code Switching to Transcend the Linguistic Barrier

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

Cross-Interaction Hierarchical Attention Networks for Urban Anomaly Prediction

Chao Huang, Chuxu Zhang, Peng Dai, Liefeng Bo

An Exact Single-Agent Task Selection Algorithm for the Crowdsourced Logistics

Chung-Kyun Han, Shih-Fen Cheng

Improving Tandem Mass Spectra Analysis with Hierarchical Learning

Zhengcong Fei

Embedding Conjugate Gradient in Learning Random Walks for Landscape Connectivity Modeling in Conservation

Pramith Devulapalli, Bistra Dilkina, Yexiang Xue

Bridging Cross-Tasks Gap for Cognitive Assessment via Fine-Grained Domain Adaptation

Yingwei Zhang, Yiqiang Chen, Hanchao Yu, Zeping Lv, Qing Li

Fighting Wildfires under Uncertainty - A Sequential Resource Allocation Approach

Hau Chan, Long Tran-Thanh, Vignesh Viswanathan

Disentangled Variational Autoencoder based Multi-Label Classification with Covariance-Aware Multivariate Probit Model

Junwen Bai, Shufeng Kong, Carla Gomes

Adversarial Graph Embeddings for Fair Influence Maximization over Social Networks

Moein Khajehnejad, Ahmad Asgharian Rezaei, Mahmoudreza Babaei, Jessica Hoffmann, Mahdi Jalili

A Novel Spatio-Temporal Multi-Task Approach for the Prediction of Diabetes-Related Complication: a Cardiopathy Case of Study

Luca Romeo, Giuseppe Armentano, Antonio Nicolucci, Marco Vespasiani, Giacomo Vespasiani

State Variable Effects in Graphical Event Models

Debarun Bhattacharjya, Dharmashankar Subramanian, Tian Gao

A Complete Characterization of Projectivity for Statistical Relational Models

Manfred Jaeger, Oliver Schulte

Neural Belief Reasoner

Haifeng Qian

Scaling Up AND/OR Abstraction Sampling

Kalev Kask, Bobak Pezeshki, Filjor Broka, Alexander Ihler, Rina Dechter

Efficient and Robust High-Dimensional Linear Contextual Bandits

Cheng Chen, Luo Luo, Weinan Zhang, Yong Yu, Yijiang Lian

Approximate Weighted First-Order Model Counting: Exploiting Fast Approximate Model Counters and Symmetry

Timothy van Bremen, Ondrej Kuzelka

Learning Bayesian Networks Under Sparsity Constraints: A Parameterized Complexity Analysis

Niels Grüttemeier, Christian Komusiewicz

Lifted Hybrid Variational Inference

Yuqiao Chen, Yibo Yang, Sriraam Natarajan, Nicholas Ruozzi

Euclidean Pathfinding with Compressed Path Databases

Bojie Shen, Muhammad Aamir Cheema, Daniel Harabor, Peter J. Stuckey

Crowd-Steer: Realtime Smooth and Collision-Free Robot Navigation in Densely Crowded Scenarios Trained using High-Fidelity Simulation

Jing Liang, Utsav Patel, Adarsh Jagan Sathyamoorthy, Dinesh Manocha

Multi-Robot Adversarial Patrolling Strategies via Lattice Paths

Jan Buermann, Jie Zhang

A Unified Model for the Two-stage Offline-then-Online Resource Allocation

Yifan Xu, Pan Xu, Jianping Pan, Jun Tao

Trade the System Efficiency for the Income Equality of Drivers in Rideshare

Yifan Xu, Pan Xu