IJCAI 2017

781 papers

A Neural Model for Joint Event Detection and Summarization

Zhongqing Wang, Yue Zhang

DDoS Event Forecasting using Twitter Data

Zhongqing Wang, Yue Zhang

Bilateral Multi-Perspective Matching for Natural Language Sentences

Zhiguo Wang, Wael Hamza, Radu Florian

Learning Sentence Representation with Guidance of Human Attention

Shaonan Wang, Jiajun Zhang, Chengqing Zong

Joint Learning on Relevant User Attributes in Micro-blog

Jingjing Wang, Shoushan Li, Guodong Zhou

Conditional Generative Adversarial Networks for Commonsense Machine Comprehension

Bingning Wang, Kang Liu, Jun Zhao

Multi-Modal Word Synset Induction

Jesse Thomason, Raymond J. Mooney

From Neural Sentence Summarization to Headline Generation: A Coarse-to-Fine Approach

Jiwei Tan, Xiaojun Wan, Jianguo Xiao

Finding Prototypes of Answers for Improving Answer Sentence Selection

Wai Lok Tam, Namgi Han, Juan Ignacio Navarro-Horñiacek, Yusuke Miyao

Automatic Assessment of Absolute Sentence Complexity

Sanja Štajner, Simone Paolo Ponzetto, Heiner Stuckenschmidt

Parsing Natural Language Conversations using Contextual Cues

Shashank Srivastava, Amos Azaria, Tom Mitchell

Why Can't You Convince Me? Modeling Weaknesses in Unpersuasive Arguments

Isaac Persing, Vincent Ng

Inverted Bilingual Topic Models for Lexicon Extraction from Non-parallel Data

Tengfei Ma, Tetsuya Nasukawa

Interactive Attention Networks for Aspect-Level Sentiment Classification

Dehong Ma, Sujian Li, Xiaodong Zhang, Houfeng Wang

Adaptive Semantic Compositionality for Sentence Modelling

Pengfei Liu, Xipeng Qiu, Xuanjing Huang

Dynamic Compositional Neural Networks over Tree Structure

Pengfei Liu, Xipeng Qiu, Xuanjing Huang

A Structural Representation Learning for Multi-relational Networks

Lin Liu, Xin Li, William K. Cheung, Chengcheng Xu

How Unlabeled Web Videos Help Complex Event Detection?

Huan Liu, Qinghua Zheng, Minnan Luo, Dingwen Zhang, Xiaojun Chang

MAT: A Multimodal Attentive Translator for Image Captioning

Chang Liu, Fuchun Sun, Changhu Wang, Feng Wang, Alan Yuille

SWIM: A Simple Word Interaction Model for Implicit Discourse Relation Recognition

Wenqiang Lei, Xuancong Wang, Meichun Liu, Ilija Ilievski, Xiangnan He

Learning to Explain Entity Relationships by Pairwise Ranking with Convolutional Neural Networks

Jizhou Huang, Wei Zhang, Shiqi Zhao, Shiqiang Ding, Haifeng Wang

Understanding and Exploiting Language Diversity

Fausto Giunchiglia, Khuyagbaatar Batsuren, Gabor Bella

Effective Deep Memory Networks for Distant Supervised Relation Extraction

Xiaocheng Feng, Jiang Guo, Bing Qin, Ting Liu, Yongjie Liu

An Attention-based Regression Model for Grounding Textual Phrases in Images

Ko Endo, Masaki Aono, Eric Nichols, Kotaro Funakoshi

Stance Classification with Target-specific Neural Attention

Jiachen Du, Ruifeng Xu, Yulan He, Lin Gui

Solving Probability Problems in Natural Language

Anton Dries, Angelika Kimmig, Jesse Davis, Vaishak Belle, Luc De Raedt

Joint Training for Pivot-based Neural Machine Translation

Yong Cheng, Qian Yang, Yang Liu, Maosong Sun, Wei Xu

Multimodal Storytelling via Generative Adversarial Imitation Learning

Zhiqian Chen, Xuchao Zhang, Arnold P. Boedihardjo, Jing Dai, Chang-Tien Lu

A Feature-Enriched Neural Model for Joint Chinese Word Segmentation and Part-of-Speech Tagging

Xinchi Chen, Xipeng Qiu, Xuanjing Huang

A Group-Based Personalized Model for Image Privacy Classification and Labeling

Haoti Zhong, Anna Squicciarini, David Miller, Cornelia Caragea

Efficient Label Contamination Attacks Against Black-Box Learning Models

Mengchen Zhao, Bo An, Wei Gao, Teng Zhang

Optimal Escape Interdiction on Transportation Networks

Youzhi Zhang, Bo An, Long Tran-Thanh, Zhen Wang, Jiarui Gan

A Causal Framework for Discovering and Removing Direct and Indirect Discrimination

Lu Zhang, Yongkai Wu, Xintao Wu

Efficient Private ERM for Smooth Objectives

Jiaqi Zhang, Kai Zheng, Wenlong Mou, Liwei Wang

Socialized Word Embeddings

Ziqian Zeng, Yichun Yin, Yangqiu Song, Ming Zhang

No Time to Observe: Adaptive Influence Maximization with Partial Feedback

Jing Yuan, Shaojie Tang

A Convolutional Approach for Misinformation Identification

Feng Yu, Qiang Liu, Shu Wu, Liang Wang, Tieniu Tan

Fast Network Embedding Enhancement via High Order Proximity Approximation

Cheng Yang, Maosong Sun, Zhiyuan Liu, Cunchao Tu

Beyond Universal Saliency: Personalized Saliency Prediction with Multi-task CNN

Yanyu Xu, Nianyi Li, Junru Wu, Jingyi Yu, Shenghua Gao

Predicting Alzheimer's Disease Cognitive Assessment via Robust Low-Rank Structured Sparse Model

Jie Xu, Cheng Deng, Xinbo Gao, Dinggang Shen, Heng Huang

Online Reputation Fraud Campaign Detection in User Ratings

Chang Xu, Jie Zhang, Zhu Sun

A Trust-based Mixture of Gaussian Processes Model for Reliable Regression in Participatory Sensing

Qikun Xiang, Jie Zhang, Ido Nevat, Pengfei Zhang

Predicting the Quality of Short Narratives from Social Media

Tong Wang, Ping Chen, Boyang Li

Interactive Narrative Personalization with Deep Reinforcement Learning

Pengcheng Wang, Jonathan Rowe, Wookhee Min, Bradford Mott, James Lester

The Minds of Many: Opponent Modeling in a Stochastic Game

Friedrich Burkhard von der Osten, Michael Kirley, Tim Miller

Depression Detection via Harvesting Social Media: A Multimodal Dictionary Learning Solution

Guangyao Shen, Jia Jia, Liqiang Nie, Fuli Feng, Cunjun Zhang

A Monte Carlo Tree Search approach to Active Malware Analysis

Riccardo Sartea, Alessandro Farinelli

Leveraging Human Knowledge in Tabular Reinforcement Learning: A Study of Human Subjects

Ariel Rosenfeld, Matthew E. Taylor, Sarit Kraus

When Security Games Hit Traffic: Optimal Traffic Enforcement Under One Sided Uncertainty

Ariel Rosenfeld, Sarit Kraus

Cognitive-Inspired Conversational-Strategy Reasoner for Socially-Aware Agents

Oscar J. Romero, Ran Zhao, Justine Cassell

Unified Representation and Lifted Sampling for Generative Models of Social Networks

Pablo Robles-Granda, Sebastian Moreno, Jennifer Neville

Quantifying Aspect Bias in Ordinal Ratings using a Bayesian Approach

Lahari Poddar, Wynne Hsu, Mong Li Lee

Thwarting Vote Buying Through Decoy Ballots

David C. Parkes, Paul Tylkin, Lirong Xia

Blue Skies: A Methodology for Data-Driven Clear Sky Modelling

Kartik Palani, Ramachandra Kota, Amar Prakash Azad, Vijay Arya

Staying Ahead of the Game: Adaptive Robust Optimization for Dynamic Allocation of Threat Screening Resources

Sara Marie Mc Carthy, Phebe Vayanos, Milind Tambe

Adversarial Generation of Real-time Feedback with Neural Networks for Simulation-based Training

Xingjun Ma, Sudanthi Wijewickrema, Shuo Zhou, Yun Zhou, Zakaria Mhammedi

Tactics of Adversarial Attack on Deep Reinforcement Learning Agents

Yen-Chen Lin, Zhang-Wei Hong, Yuan-Hong Liao, Meng-Li Shih, Ming-Yu Liu

How to Keep a Knowledge Base Synchronized with Its Encyclopedia Source

Jiaqing Liang, Sheng Zhang, Yanghua Xiao

Defending Against Man-In-The-Middle Attack in Repeated Games

Shuxin Li, Xiaohong Li, Jianye Hao, Bo An, Zhiyong Feng

Stratified Strategy Selection for Unit Control in Real-Time Strategy Games

Levi H. S. Lelis

Exploring Personalized Neural Conversational Models

Satwik Kottur, Xiaoyu Wang, Vitor Carvalho

Fashion Style Generator

Shuhui Jiang, Yun Fu

Who to Invite Next? Predicting Invitees of Social Groups

Yu Han, Jie Tang

Game Engine Learning from Video

Matthew Guzdial, Boyang Li, Mark O. Riedl

Modeling Physicians' Utterances to Explore Diagnostic Decision-making

Xuan Guo, Rui Li, Qi Yu, Anne Haake

Comparing Strategic Secrecy and Stackelberg Commitment in Security Games

Qingyu Guo, Bo An, Branislav Bosansky, Christopher Kiekintveld

Playing Repeated Network Interdiction Games with Semi-Bandit Feedback

Qingyu Guo, Bo An, Long Tran-Thanh

DeepAM: Migrate APIs with Multi-modal Sequence to Sequence Learning

Xiaodong Gu, Hongyu Zhang, Dongmei Zhang, Sunghun Kim

Focused Depth-first Proof Number Search using Convolutional Neural Networks for the Game of Hex

Chao Gao, Martin Müller, Ryan Hayward

Social Pressure in Opinion Games

Diodato Ferraioli, Carmine Ventre

Exploiting Music Play Sequence for Music Recommendation

Zhiyong Cheng, Jialie Shen, LEI ZHU, Mohan Kankanhalli, Liqiang Nie

Opinion-aware Knowledge Graph for Political Ideology Detection

Wei Chen, Xiao Zhang, Tengjiao Wang, Bishan Yang, Yi Li

Deep Multi-species Embedding

Di Chen, Yexiang Xue, Daniel Fink, Shuo Chen, Carla P. Gomes

Networked Fairness in Cake Cutting

Xiaohui Bei, Youming Qiao, Shengyu Zhang

Cake Cutting: Envy and Truth

Xiaohui Bei, Ning Chen, Guangda Huzhang, Biaoshuai Tao, Jiajun Wu

Understanding People Lifestyles: Construction of Urban Movement Knowledge Graph from GPS Trajectory

Chenyi Zhuang, Nicholas Jing Yuan, Ruihua Song, Xing Xie, Qiang Ma

Object Recognition with and without Objects

Zhuotun Zhu, Lingxi Xie, Alan Yuille

What to Do Next: Modeling User Behaviors by Time-LSTM

Yu Zhu, Hao Li, Yikang Liao, Beidou Wang, Ziyu Guan

Dependency Exploitation: A Unified CNN-RNN Approach for Visual Emotion Recognition

Xinge ZHU, Liang Li, Weigang Zhang, Tianrong Rao, Min Xu

No Learner Left Behind: On the Complexity of Teaching Multiple Learners Simultaneously

Xiaojin Zhu, Ji Liu, Manuel Lopes

Adaptive Hypergraph Learning for Unsupervised Feature Selection

Xiaofeng Zhu, Yonghua Zhu, Shichao Zhang, Rongyao Hu, Wei He

Deep Graphical Feature Learning for Face Sketch Synthesis

Mingrui Zhu, Nannan Wang, Xinbo Gao, Jie Li

Locality Constrained Deep Supervised Hashing for Image Retrieval

Hao Zhu, Shenghua Gao

Diverse Neuron Type Selection for Convolutional Neural Networks

Guibo Zhu, Zhaoxiang Zhang, Xu-yao Zhang, Cheng-lin Liu

Deep Forest: Towards An Alternative to Deep Neural Networks

Zhi-Hua Zhou, Ji Feng

Binary Linear Compression for Multi-label Classification

Wen-Ji Zhou, Yang Yu, Min-ling Zhang

Tensor Completion with Side Information: A Riemannian Manifold Approach

Tengfei Zhou, Hui Qian, Zebang Shen, Chao Zhang, Congfu Xu

Microblog Sentiment Classiﬁcation via Recurrent Random Walk Network Learning

Zhou Zhao, Hanqing Lu, Deng Cai, Xiaofei He, Yueting Zhuang

Link Prediction via Ranking Metric Dual-Level Attention Network Learning

Zhou Zhao, Ben Gao, Vincent W. Zheng, Deng Cai, Xiaofei He

Video Question Answering via Hierarchical Spatio-Temporal Attention Networks

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

TUCH: Turning Cross-view Hashing into Single-view Hashing via Generative Adversarial Nets

Xin Zhao, guiguang ding, Yuchen Guo, Jungong Han, Yue Gao

Deep Multiple Instance Hashing for Object-based Image Retrieval

Wanqing Zhao, Ziyu Guan, Hangzai Luo, Jinye Peng, Jianping Fan

ContextCare: Incorporating Contextual Information Networks to Representation Learning on Medical Forum Data

Stan Zhao, Meng Jiang, Quan Yuan, Bing Qin, Ting Liu

Deep Optical Flow Estimation Via Multi-Scale Correspondence Structure Learning

Shanshan Zhao, Xi Li, Omar El Farouk Bourahla

Hierarchical Feature Selection with Recursive Regularization

Hong Zhao, Pengfei Zhu, Ping Wang, Qinghua Hu

Random Shifting for CNN: a Solution to Reduce Information Loss in Down-Sampling Layers

Gangming Zhao, Jingdong Wang, Zhaoxiang Zhang

Learning Discriminative Recommendation Systems with Side Information

Feipeng Zhao, Yuhong Guo

Tensor Based Knowledge Transfer Across Skill Categories for Robot Control

Chenyang Zhao, Timothy M. Hospedales, Freek Stulp, Olivier Sigaud

Weighted Double Q-learning

Zongzhang Zhang, Zhiyuan Pan, Mykel J. Kochenderfer

Multimodal Linear Discriminant Analysis via Structural Sparsity

Yu Zhang, Yuan Jiang