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IJCAI 2016

651 papers

Content-Driven Detection of Cyberbullying on the Instagram Social Network

Haoti Zhong, Hao Li, Anna Squicciarini, Sarah Rajtmajer, Christopher Griffin

Matrix Factorization+ for Movie Recommendation

Lili Zhao, Zhongqi Lu, Sinno Jialin Pan, Qiang Yang

Learning Defining Features for Categories

Bo Xu, Chenhao Xie, Yi Zhang, Yanghua Xiao, Haixun Wang

Causality Based Propagation History Ranking in Social Networks

Zheng Wang, Chaokun Wang, Jisheng Pei, Xiaojun Ye, Philip S. Yu

Bayesian Probabilistic Multi-Topic Matrix Factorization for Rating Prediction

Keqiang Wang, Wayne Xin Zhao, Hongwei Peng, Xiaoling Wang

Learning Hostname Preference to Enhance Search Relevance

Jingjing Wang, Changsung Kang, Yi Chang, Jiawei Han

KOGNAC: Efficient Encoding of Large Knowledge Graphs

Jacopo Urbani, Sourav Dutta, Sairam Gurajada, Gerhard Weikum

Max-Margin DeepWalk: Discriminative Learning of Network Representation

Cunchao Tu, Weicheng Zhang, Zhiyuan Liu, Maosong Sun

Progressive Comparison for Ranking Estimation

Ryusuke Takahama, Toshihiro Kamishima, Hisashi Kashima

Understanding Information Diffusion under Interactions

Yuan Su, Xi Zhang, Philip S. Yu, Wen Hua, Xiaofang Zhou

A Framework for Recommending Relevant and Diverse Items

Chaofeng Sha, Xiaowei Wu, Junyu Niu

Intervention Strategies for Increasing Engagement in Crowdsourcing: Platform, Predictions, and Experiments

Avi Segal, Ya’akov (Kobi) Gal, Ece Kamar, Eric Horvitz, Alex Bowyer

Practical Linear Models for Large-Scale One-Class Collaborative Filtering

Suvash Sedhain, Hung Bui, Jaya Kawale, Nikos Vlassis, Branislav Kveton

Dynamic Task Allocation Algorithm for Hiring Workers that Learn

Shengying Pan, Kate Larson, Josh Bradshaw, Edith Law

Detecting Rumors from Microblogs with Recurrent Neural Networks

Jing Ma, Wei Gao, Prasenjit Mitra, Sejeong Kwon, Bernard J. Jansen

Browsing Regularities in Hedonic Content Systems

Ping Luo, Ganbin Zhou, Jiaxi Tang, Rui Chen, Zhongjie Yu

Collaborative Evolution for User Profiling in Recommender Systems

Zhongqi Lu, Sinno Jialin Pan, Yong Li, Jie Jiang, Qiang Yang

Item Recommendation for Emerging Online Businesses

Chun-Ta Lu, Sihong Xie, Weixiang Shao, Lifang He, Philip S. Yu

What Does Social Media Say about Your Stress?

Huijie Lin, Jia Jia, Liqiang Nie, Guangyao Shen, Tat-Seng Chua

Identifying Key Observers to Find Popular Information in Advance

Takuya Konishi, Tomoharu Iwata, Kohei Hayashi, Ken-Ichi Kawarabayashi

Real-Time Web Scale Event Summarization Using Sequential Decision Making

Chris Kedzie, Fernando Diaz, Kathleen McKeown

Ordering Concepts Based on Common Attribute Intensity

Tatsuya Iwanari, Naoki Yoshinaga, Nobuhiro Kaji, Toshiharu Nishina, Masashi Toyoda

Efficient Algorithms for Spanning Tree Centrality

Takanori Hayashi, Takuya Akiba, Yuichi Yoshida

Questimator: Generating Knowledge Assessments for Arbitrary Topics

Qi Guo, Chinmay Kulkarni, Aniket Kittur, Jeffrey P. Bigham, Emma Brunskill

Weakly-Supervised Deep Learning for Customer Review Sentiment Classification

Ziyu Guan, Long Chen, Wei Zhao, Yi Zheng, Shulong Tan

Assessing Translation Ability through Vocabulary Ability Assessment

Yo Ehara, Yukino Baba, Masao Utiyama, Eiichiro Sumita

Timeline Summarization from Social Media with Life Cycle Models

Yi Chang, Jiliang Tang, Dawei Yin, Makoto Yamada, Yan Liu

Multi-Source Iterative Adaptation for Cross-Domain Classification

Himanshu S. Bhatt, Arun Rajkumar, Shourya Roy

Non-Objection Inference for Inconsistency-Tolerant Query Answering

Salem Benferhat, Zied Bouraoui, Madalina Croitoru, Odile Papini, Karim Tabia

Inferring Motif-Based Diffusion Models for Social Networks

Qing Bao, William K. Cheung, Jiming Liu

Swift: Compiled Inference for Probabilistic Programming Languages

Yi Wu, Lei Li, Stuart Russell, Rastislav Bodik

Group Decision Making via Probabilistic Belief Merging

Nico Potyka, Erman Acar, Matthias Thimm, Heiner Stuckenschmidt

A Symbolic Closed-Form Solution to Sequential Market Making with Inventory

Shamin Kinathil, Scott Sanner, Sanmay Das, Nicolas Della Penna

Adaptive Budget Allocation for Maximizing Influence of Advertisements

Daisuke Hatano, Takuro Fukunaga, Ken-Ichi Kawarabayashi

Probabilistic Inference Modulo Theories

Rodrigo de Salvo Braz, Ciaran O’Reilly, Vibhav Gogate, Rina Dechter

Solving M-Modes Using Heuristic Search

Cong Chen, Changhe Yuan, Chao Chen

Contextual Symmetries in Probabilistic Graphical Models

Ankit Anand, Aditya Grover, Mausam, Parag Singla

Synthesizing Robotic Handwriting Motion by Learning from Human Demonstrations

Hang Yin, Patricia Alves-Oliveira, Francisco S. Melo, Aude Billard, Ana Paiva

Object-Based World Modeling in Semi-Static Environments with Dependent Dirichlet Process Mixtures

Lawson L. S. Wong, Thanard Kurutach, Tomás Lozano-Pérez, Leslie Pack Kaelbling

Rule-Based Programming of Molecular Robot Swarms for Biomedical Applications

Inbal Wiesel-Kapah, Gal A. Kaminka, Guy Hachmon, Noa Agmon, Ido Bachelet

Visual Tracking with Reliable Memories

Shu Wang, Shaoting Zhang, Wei Liu, Dimitris N. Metaxas

Learning Multi-Modal Grounded Linguistic Semantics by Playing “I Spy”

Jesse Thomason, Jivko Sinapov, Maxwell Svetlik, Peter Stone, Raymond J. Mooney

Crowd Scene Understanding with Coherent Recurrent Neural Networks

Hang Su, Yinpeng Dong, Jun Zhu, Haibin Ling, Bo Zhang

Learning to Order Objects Using Haptic and Proprioceptive Exploratory Behaviors

Jivko Sinapov, Priyanka Khante, Maxwell Svetlik, Peter Stone

Learning Social Affordance for Human-Robot Interaction

Tianmin Shu, M. S. Ryoo, Song-chun Zhu

Incorporating Prototype Theory in Convolutional Neural Networks

Babak Saleh, Ahmed Elgammal, Jacob Feldman

Geometric Scene Parsing with Hierarchical LSTM

zhanglin peng, Ruimao Zhang, Xiaodan Liang, Xiaobai Liu, Liang Lin

What Is Where: Inferring Containment Relations from Videos

Wei Liang, Yibiao Zhao, Yixin Zhu, Song-chun Zhu

Robust Joint Discriminative Feature Learning for Visual Tracking

Xiangyuan Lan, Shengping Zhang, Pong C. Yuen

Online Multi-Object Tracking by Quadratic Pseudo-Boolean Optimization

Long Lan, Dacheng Tao, Chen Gong, Naiyang Guan, Zhigang Luo

Semantic Analysis for Crowded Scenes Based on Non-Parametric Tracklet Clustering

Allam S. Hassanein, Mohamed E. Hussein, Walid Gomaa

Making Robots Proactive through Equilibrium Maintenance

Jasmin Grosinger, Federico Pecora, Alessandro Saffiotti

Highly Accurate Gaze Estimation Using a Consumer RGB-D Sensor

Reza Shoja Ghiass, Ognjen Arandjelovic

Semi-Supervised Multimodal Deep Learning for RGB-D Object Recognition

Yanhua Cheng, Xin Zhao, Rui Cai, Zhiwei Li, Kaiqi Huang

3D Action Recognition Using Multi-Temporal Depth Motion Maps and Fisher Vector

Chen Chen, Mengyuan Liu, Baochang Zhang, Jungong Han, Junjun Jiang

Action Recognition with Joints-Pooled 3D Deep Convolutional Descriptors

Congqi Cao, Yifan Zhang, Chunjie Zhang, Hanqing Lu

Commitment Semantics for Sequential Decision Making under Reward Uncertainty

Qi Zhang, Edmund Durfee, Satinder Singh, Anna Chen, Stefan Witwicki

Structural Symmetries for Fully Observable Nondeterministic Planning

Dominik Winterer, Martin Wehrle, Michael Katz

Graph-Based Factorization of Classical Planning Problems

Martin Wehrle, Silvan Sievers, Malte Helmert

Goal Recognition Design with Stochastic Agent Action Outcomes

Christabel Wayllace, Ping Hou, William Yeoh, Tran Cao Son

Abstraction Heuristics for Symbolic Bidirectional Search

Álvaro Torralba, Carlos Linares Lopez, Daniel Borrajo

On State-Dominance Criteria in Fork-Decoupled Search

Álvaro Torralba, Daniel Gnad, Patrick Dubbert, Jorg Hoffmann

Plan Recognition as Planning Revisited

Shirin Sohrabi, Anton V. Riabov, Octavian Udrea

Blind Search for Atari-Like Online Planning Revisited

Alexander Shleyfman, Alexander Tuisov, Carmel Domshlak

Correlation Complexity of Classical Planning Domains

Jendrik Seipp, Florian Pommerening, Gabriele Röger, Malte Helmert