IJCAI 2016

651 papers

Hierarchical Finite State Controllers for Generalized Planning

Javier Segovia-Aguas, Sergio Jiménez, Anders Jonsson

Heuristics for Numeric Planning via Subgoaling

Enrico Scala, Patrik Haslum, Sylvie Thiébaux

PAC Greedy Maximization with Efficient Bounds on Information Gain for Sensor Selection

Yash Satsangi, Shimon Whiteson, Frans A. Oliehoek

Heuristic Planning for PDDL+ Domains

Wiktor Piotrowski, Maria Fox, Derek Long, Daniele Magazzeni, Fabio Mercorio

Planning for a Single Agent in a Multi-Agent Environment Using FOND

Christian Muise, Paolo Felli, Tim Miller, Adrian R. Pearce, Liz Sonenberg

Automatic Generation of High-Level State Features for Generalized Planning

Damir Lotinac, Javier Segovia-Aguas, Sergio Jiménez, Anders Jonsson

Learning Predictive State Representations via Monte-Carlo Tree Search

Yunlong Liu, Hexing Zhu, Yifeng Zeng, Zongxiong Dai

Heuristic Subset Selection in Classical Planning

Levi H. S. Lelis, Santiago Franco, Marvin Abisrror, Mike Barley, Sandra Zilles

Sequential Planning for Steering Immune System Adaptation

Christian Kroer, Tuomas Sandholm

Privacy Preserving Plans in Partially Observable Environments

Sarah Keren, Avigdor Gal, Erez Karpas

State-Dependent Cost Partitionings for Cartesian Abstractions in Classical Planning

Thomas Keller, Florian Pommerening, Jendrik Seipp, Florian Geißer, Robert Mattmüller

In Search of Tractability for Partial Satisfaction Planning

Michael Katz, Vitaly Mirkis

Batch-Switching Policy Iteration

Shivaram Kalyanakrishnan, Utkarsh Mall, Ritish Goyal

Hierarchical Model Predictive Control for Multi-Robot Navigation

Chao Huang, Xin Chen, Yifan Zhang, Shengchao Qin, Yifeng Zeng

Anticipatory Troubleshooting

Netantel Hasidi, Roni Stern, Meir Kalech, Shulamit Reches

A POMDP Approach to Influence Diagram Evaluation

Eric A. Hansen, Jinchuan Shi, Arindam Khaled

Demand Prediction and Placement Optimization for Electric Vehicle Charging Stations

Ragavendran Gopalakrishnan, Arpita Biswas, Alefiya Lightwala, Skanda Vasudevan, Partha Dutta

Decoupled Strong Stubborn Sets

Daniel Gnad, Martin Wehrle, Jorg Hoffmann

Generalizing the Edge-Finder Rule for the Cumulative Constraint

Vincent Gingras, Claude-Guy Quimper

Robust Repositioning to Counter Unpredictable Demand in Bike Sharing Systems

Supriyo Ghosh, Michael Trick, Pradeep Varakantham

Learning to Rank for Synthesizing Planning Heuristics

Caelan Reed Garrett, Leslie Pack Kaelbling, Tomás Lozano-Pérez

∃-STRIPS: Existential Quantification in Planning and Constraint Satisfaction

Guillem Francès, Hector Geffner

Online Symbolic Gradient-Based Optimization for Factored Action MDPs

Hao Cui, Roni Khardon

Improved Solvers for Bounded-Suboptimal Multi-Agent Path Finding

Liron Cohen, Tansel Uras, T. K. Satish Kumar, Hong Xu, Nora Ayanian

A Branch-and-Price Algorithm for Scheduling Observations on a Telescope

Nicolas Catusse, Hadrien Cambazard, Nadia Brauner, Pierre Lemaire, Bernard Penz

Maintaining Evolving Domain Models

Dan Bryce, J. Benton, Michael W. Boldt

Factored Probabilistic Belief Tracking

Blai Bonet, Hector Geffner

Which Contingent Events to Observe for the Dynamic Controllability of a Plan

Arthur Bit-Monnot, Malik Ghallab, Félix Ingrand

Markovian State and Action Abstractions for MDPs via Hierarchical MCTS

Aijun Bai, Siddharth Srivastava, Stuart Russell

Hierarchical Planning: Relating Task and Goal Decomposition with Task Sharing

Ron Alford, Vikas Shivashankar, Mark Roberts, Jeremy Frank, David W. Aha

Unsupervised Storyline Extraction from News Articles

Deyu Zhou, Haiyang Xu, Xin-yu Dai, Yulan He

Context-Specific and Multi-Prototype Character Representations

Xiaoqing Zheng, Jiangtao Feng, Mengxiao Lin, Wenqiang Zhang

Expert Finding for Community-Based Question Answering via Ranking Metric Network Learning

Zhou Zhao, Qifan Yang, Deng Cai, Xiaofei He, Yueting Zhuang

A Joint Model of Intent Determination and Slot Filling for Spoken Language Understanding

Xiaodong Zhang, Houfeng Wang

Collaborative Multi-Level Embedding Learning from Reviews for Rating Prediction

Wei Zhang, Quan Yuan, Jiawei Han, Jianyong Wang

Unsupervised Word and Dependency Path Embeddings for Aspect Term Extraction

Yichun Yin, Furu Wei, Li Dong, Kaimeng Xu, Ming Zhang

Neural Generative Question Answering

Jun Yin, Xin Jiang, Zhengdong Lu, Lifeng Shang, Hang Li

Representation Learning of Knowledge Graphs with Hierarchical Types

Ruobing Xie, Zhiyuan Liu, Maosong Sun

Diverse Image Captioning via GroupTalk

Zhuhao Wang, Fei Wu, Weiming Lu, Jun Xiao, Xi Li

A Bilingual Graph-Based Semantic Model for Statistical Machine Translation

Rui Wang, Hai Zhao, Sabine Ploux, Bao-Liang Lu, Masao Utiyama

Chinese Song Iambics Generation with Neural Attention-Based Model

Qixin Wang, Tianyi Luo, Dong Wang, Chao Xing

Building Joint Spaces for Relation Extraction

Chang Wang, Liangliang Cao, James Fan

Employing External Rich Knowledge for Machine Comprehension

Bingning Wang, Shangmin Guo, Kang Liu, Shizhu He, Jun Zhao

Match-SRNN: Modeling the Recursive Matching Structure with Spatial RNN

Shengxian Wan, Yanyan Lan, Jun Xu, Jiafeng Guo, Liang Pang

Sparse Word Embeddings Using

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Robust Natural Language Processing — Combining Reasoning, Cognitive Semantics, and Construction Grammar for Spatial Language

Michael Spranger, Jakob Suchan, Mehul Bhatt

Cross-Lingual Dataless Classification for Many Languages

Yangqiu Song, Shyam Upadhyay, Haoruo Peng, Dan Roth

Automatic Construction and Evaluation of a Large Semantically Enriched Wikipedia

Alessandro Raganato, Claudio Delli Bovi, Roberto Navigli

-Search for Incremental Parsing

Yijia Liu, Wanxiang Che, Bing Qin, Ting Liu

Exploring Segment Representations for Neural Segmentation Models

Yijia Liu, Wanxiang Che, Jiang Guo, Bing Qin, Ting Liu

Recurrent Neural Network for Text Classification with Multi-Task Learning

Pengfei Liu, Xipeng Qiu, Xuanjing Huang

Knowledge Representation Learning with Entities, Attributes and Relations

Yankai Lin, Zhiyuan Liu, Maosong Sun

Learning Paraphrase Identification with Structural Alignment

Chen Liang, Praveen Paritosh, Vinodh Rajendran, Kenneth D. Forbus

Towards Zero Unknown Word in Neural Machine Translation

Xiaoqing Li, Jiajun Zhang, Chengqing Zong

StalemateBreaker: A Proactive Content-Introducing Approach to Automatic Human-Computer Conversation

Xiang Li, Lili Mou, Rui Yan, Ming Zhang

Joint Models for Extracting Adverse Drug Events from Biomedical Text

Fei Li, Yue Zhang, Meishan Zhang, Donghong Ji

Reinforcement Learning for Turn-Taking Management in Incremental Spoken Dialogue Systems

Hatim Khouzaimi, Romain Laroche, Fabrice Lefèvre

Bag-of-Embeddings for Text Classification

Peng Jin, Yue Zhang, Xingyuan Chen, Yunqing Xia

Tree-State Based Rule Selection Models for Hierarchical Phrase-Based Machine Translation

Shujian Huang, Huifeng Sun, Chengqi Zhao, Jinsong Su, Xin-yu Dai

Generating Recommendation Evidence Using Translation Model

Jizhou Huang, Shiqi Zhao, Shiqiang Ding, Haiyang Wu, Mingming Sun

Exploiting N-Best Hypotheses to Improve an SMT Approach to Grammatical Error Correction

Duc Tam Hoang, Shamil Chollampatt, Hwee Tou Ng

Parse Tree Fragmentation of Ungrammatical Sentences

Homa B. Hashemi, Rebecca Hwa

Intersubjectivity and Sentiment: From Language to Knowledge

Lin Gui, Ruifeng Xu, Yulan He, Qin Lu, zhongyu wei

Hashtag Recommendation Using Attention-Based Convolutional Neural Network

Yuyun Gong, Qi Zhang

Recognizing Opinion Sources Based on a New Categorization of Opinion Types

Lingjia Deng, Janyce Wiebe

Neural Network Translation Models for Grammatical Error Correction

Shamil Chollampatt, Kaveh Taghipour, Hwee Tou Ng

Agreement-Based Joint Training for Bidirectional Attention-Based Neural Machine Translation

Yong Cheng, Shiqi Shen, Zhongjun He, Wei He, Hua Wu

Distraction-Based Neural Networks for Modeling Document

Qian Chen, Xiaodan Zhu, Zhenhua Ling, Si Wei, Hui Jiang

A Discriminative Approach to Grounded Spoken Language Understanding in Interactive Robotics

Emanuele Bastianelli, Danilo Croce, Andrea Vanzo, Roberto Basili, Daniele Nardi

WikiWrite: Generating Wikipedia Articles Automatically

Siddhartha Banerjee, Prasenjit Mitra

Personalizing EEG-Based Affective Models with Transfer Learning

Wei-Long Zheng, Bao-Liang Lu

Maximum Sustainable Yield Problem for Robot Foraging and Construction System

Ruohan Zhang, Zhao Song

Situation Testing-Based Discrimination Discovery: A Causal Inference Approach

Lu Zhang, Yongkai Wu, Xintao Wu

Nonlinear Hierarchical Part-Based Regression for Unconstrained Face Alignment

Xiang Yu, Zhe Lin, Shaoting Zhang, Dimitris N. Metaxas

ST-MVL: Filling Missing Values in Geo-Sensory Time Series Data

Xiuwen Yi, Yu Zheng, Junbo Zhang, Tianrui Li

POISketch: Semantic Place Labeling over User Activity Streams

Dingqi Yang, Bin Li, Philippe Cudré-Mauroux

Modeling Contagious Merger and Acquisition via Point Processes with a Profile Regression Prior

Junchi Yan, Shuai Xiao, Changsheng Li, Bo Jin, Xiangfeng Wang

Exploiting Problem Structure in Combinatorial Landscapes: A Case Study on Pure Mathematics Application

Xiao-Feng Xie, Zun-Jing Wang

On Modeling and Predicting Individual Paper Citation Count over Time

Shuai Xiao, Junchi Yan, Changsheng Li, Bo Jin, Xiangfeng Wang

Scale-Adaptive Low-Resolution Person Re-Identification via Learning a Discriminating Surface

Zheng Wang, Ruimin Hu, Yi Yu, Junjun Jiang, Chao Liang

Dimensionally Guided Synthesis of Mathematical Word Problems

Ke Wang, Zhendong Su

Stochastic and-or Grammars: A Unified Framework and Logic Perspective

Kewei Tu

Scene Text Detection in Video by Learning Locally and Globally

Shu Tian, Wei-Yi Pei, Ze-Yu Zuo, Xu-Cheng Yin

Rating-Boosted Latent Topics: Understanding Users and Items with Ratings and Reviews

Yunzhi Tan, Min Zhang, Yiqun Liu, Shaoping Ma

Semantic Question-Answering with Video and Eye-Tracking Data: AI Foundations for Human Visual Perception Driven Cognitive Film Studies

Jakob Suchan, Mehul Bhatt

Balancing Appearance and Context in Sketch Interpretation

Yale Song, Randall Davis, Kaichen Ma, Dana L. Penney

DeepTransport: Prediction and Simulation of Human Mobility and Transportation Mode at a Citywide Level

Xuan Song, Hiroshi Kanasugi, Ryosuke Shibasaki

Measuring Performance of Peer Prediction Mechanisms Using Replicator Dynamics

Victor Shnayder, Rafael M. Frongillo, David C. Parkes

Simulating Human Inferences in the Light of New Information: A Formal Analysis

Marco Ragni, Christian Eichhorn, Gabriele Kern-Isberner

How to Build Your Network? A Structural Analysis

Anastasia Moskvina, Jiamou Liu

Player Goal Recognition in Open-World Digital Games with Long Short-Term Memory Networks

Wookhee Min, Bradford Mott, Jonathan Rowe, Barry Liu, James Lester

Clustering Financial Time Series: How Long Is Enough?

Gautier Marti, Sébastien Andler, Frank Nielsen, Philippe Donnat

Urban Water Quality Prediction Based on Multi-Task Multi-View Learning

Ye Liu, Yu Zheng, Yuxuan Liang, Shuming Liu, David S. Rosenblum

Makeup Like a Superstar: Deep Localized Makeup Transfer Network

Si Liu, Xinyu Ou, Ruihe Qian, Wei Wang, Xiaochun Cao

Protein Secondary Structure Prediction Using Cascaded Convolutional and Recurrent Neural Networks

Zhen Li, Yizhou Yu

Household Structure Analysis via Hawkes Processes for Enhancing Energy Disaggregation

Liangda Li, Hongyuan Zha

Bayesian Nonparametric Collaborative Topic Poisson Factorization for Electronic Health Records-Based Phenotyping

Wonsung Lee, Youngmin Lee, Heeyoung Kim, Il-chul Moon

Word Clouds with Latent Variable Analysis for Visual Comparison of Documents

Tuan M. V. Le, Hady W. Lauw

Predicting Confusion in Information Visualization from Eye Tracking and Interaction Data

Sébastien Lallé, Cristina Conati, Giuseppe Carenini

Baseline Regularization for Computational Drug Repositioning with Longitudinal Observational Data

Zhaobin Kuang, James Thomson, Michael Caldwell, Peggy Peissig, Ron Stewart