AI and the Web
| A Personalized Interest-Forgetting Markov Model for Recommendations | |
| Jun Chen, Chaokun Wang, Jianmin Wang |
| Will You "Reconsume" the Near Past? Fast Prediction on Short-Term Reconsumption Behaviors | |
| Jun Chen, Chaokun Wang, Jianmin Wang |
| Visually Interpreting Names as Demographic Attributes by Exploiting Click-Through Data | |
| Yan-Ying Chen, Yin-Hsi Kuo, Chun-Che Wu, Winston H. Hsu |
| A New Granger Causal Model for Influence Evolution in Dynamic Social Networks: The Case of DBLP | |
| Belkacem Chikhaoui, Mauricio Chiazzaro, Shengrui Wang |
| Perceiving Group Themes from Collective Social and Behavioral Information | |
| Peng Cui, Tianyang Zhang, Fei Wang, Peng He |
| High-Performance Distributed ML at Scale through Parameter Server Consistency Models | |
| Wei Dai, Abhimanu Kumar, Jinliang Wei, Qirong Ho, Garth Gibson, Eric P. Xing |
| COT: Contextual Operating Tensor for Context-Aware Recommender Systems | |
| Qiang Liu, Shu Wu, Liang Wang |
| Approximating Model-Based ABox Revision in DL-Lite: Theory and Practice | |
| Guilin Qi, Zhe Wang, Kewen Wang, Xuefeng Fu, Zhiqiang Zhuang |
| Causal Inference via Sparse Additive Models with Application to Online Advertising | |
| Wei Sun, Pengyuan Wang, Dawei Yin, Jian Yang, Yi Chang |
| Mining User Intents in Twitter: A Semi-Supervised Approach to Inferring Intent Categories for Tweets | |
| Jinpeng Wang, Gao Cong, Xin Wayne Zhao, Xiaoming Li |
| Burst Time Prediction in Cascades | |
| Senzhang Wang, Zhao Yan, Xia Hu, Philip S. Yu, Zhoujun Li |
| Clustering-Based Collaborative Filtering for Link Prediction | |
| Xiangyu Wang, Dayu He, Danyang Chen, Jinhui Xu |
| Mining Query Subtopics from Questions in Community Question Answering | |
| Yu Wu, Wei Wu, Zhoujun Li, Ming Zhou |
| DynaDiffuse: A Dynamic Diffusion Model for Continuous Time Constrained Influence Maximization | |
| Miao Xie, Qiusong Yang, Qing Wang, Gao Cong, Gerard de Melo |
| Collaborative Topic Ranking: Leveraging Item Meta-Data for Sparsity Reduction | |
| Weilong Yao, Jing He, Hua Wang, Yanchun Zhang, Jie Cao |
| Are Features Equally Representative? A Feature-Centric Recommendation | |
| Chenyi Zhang, Ke Wang, Ee-peng Lim, Qinneng Xu, Jianling Sun, Hongkun Yu |
| Representation Learning for Aspect Category Detection in Online Reviews | |
| Xinjie Zhou, Xiaojun Wan, Jianguo Xiao |
Applications
| Efficient Computation of Semivalues for Game-Theoretic Network Centrality | |
| Piotr Lech Szczepański, Mateusz Krzysztof Tarkowski, Tomasz Paweł Michalak, Paul Harrenstein, Michael Wooldridge |
| Embedded Unsupervised Feature Selection | |
| Suhang Wang, Jiliang Tang, Huan Liu |
| Learning User-Specific Latent Influence and Susceptibility from Information Cascades | |
| Yongqing Wang, Huawei Shen, Shenghua Liu, Xueqi Cheng |
Game Theory and Economic Paradigms
| Justified Representation in Approval-Based Committee Voting | |
| Haris Aziz, Markus Brill, Vincent Conitzer, Edith Elkind, Rupert Freeman, Toby Walsh |
| Fair Information Sharing for Treasure Hunting | |
| Yiling Chen, Kobbi Nissim, Bo Waggoner |
| Hedonic Coalition Formation in Networks | |
| Martin Hoefer, Daniel Vaz, Lisa Wagner |
| A Graphical Representation for Games in Partition Function Form | |
| Oskar Skibski, Tomasz P. Michalak, Yuko Sakurai, Michael Wooldridge, Makoto Yokoo |
| Mechanism Design for Team Formation | |
| Mason Wright, Yevgeniy Vorobeychik |
Heuristic Search and Optimization
| Stochastic Local Search for Satisfiability Modulo Theories | |
| Andreas Fröhlich, Armin Biere, Christoph M. Wintersteiger, Youssef Hamadi |
Integrated Systems
| Pattern-Based Variant-Best-Neighbors Respiratory Motion Prediction Using Orthogonal Polynomials Approximation | |
| KinMing Kam, Shouyi Wang, Stephen R. Bowen, Wanpracha Chaovalitwongse |
| Going Beyond Literal Command-Based Instructions: Extending Robotic Natural Language Interaction Capabilities | |
| Tom Williams, Gordon Briggs, Bradley Oosterveld, Matthias Scheutz |
Knowledge Representation and Reasoning
| Partial Meet Revision and Contraction in Logic Programs | |
| Sebastian Binnewies, Zhiqiang Zhuang, Kewen Wang |
| A Syntax-Independent Approach to Forgetting in Disjunctive Logic Programs | |
| James Delgrande, Kewen Wang |
| Towards Tractable and Practical ABox Abduction over Inconsistent Description Logic Ontologies | |
| Jianfeng Du, Kewen Wang, Yi-Dong Shen |
| Splitting a Logic Program Revisited | |
| Jianmin Ji, Hai Wan, Ziwei Huo, Zhenfeng Yuan |
| On Elementary Loops and Proper Loops for Disjunctive Logic Programs | |
| Jianmin Ji, Hai Wan, Peng Xiao |
| Knowledge Forgetting in Circumscription: A Preliminary Report | |
| Yisong Wang, Kewen Wang, Zhe Wang, Zhiqiang Zhuang |
| Instance-Driven Ontology Evolution in DL-Lite | |
| Zhe Wang, Kewen Wang, Zhiqiang Zhuang, Guilin Qi |
| Structured Embedding via Pairwise Relations and Long-Range Interactions in Knowledge Base | |
| Fei Wu, Jun Song, Yi Yang, Xi Li, Zhongfei Zhang, Yueting Zhuang |
Machine Learning Applications
| A Sparse Combined Regression-Classification Formulation for Learning a Physiological Alternative to Clinical Post-Traumatic Stress Disorder Scores | |
| Sarah Marie Brown, Andrea Webb, Rami Mangoubi, Jennifer Dy |
| Marginalized Denoising for Link Prediction and Multi-Label Learning | |
| Zheng Chen, Minmin Chen, Kilian Weinberger, Weixiong Zhang |
| PD Disease State Assessment in Naturalistic Environments Using Deep Learning | |
| Nils Yannick Hammerla, James Fisher, Peter Andras, Lynn Rochester, Richard Walker, Thomas Ploetz |
| Propagating Ranking Functions on a Graph: Algorithms and Applications | |
| Buyue Qian, Xiang Wang, Ian Davidson |
| Learning Hybrid Models with Guarded Transitions | |
| Pedro Santana, Spencer Lane, Eric Timmons, Brian Williams, Carlos Forster |
| Transaction Costs-Aware Portfolio Optimization via Fast Lowner-John Ellipsoid Approximation | |
| Weiwei Shen, Jun Wang |
| Coupled Interdependent Attribute Analysis on Mixed Data | |
| Can Wang, Chi-Hung Chi, Wei Zhou, Raymond Wong |
| Exploring Social Context for Topic Identification in Short and Noisy Texts | |
| Xin Wang, Ying Wang, Wanli Zuo, Guoyong Cai |
| Modeling Status Theory in Trust Prediction | |
| Ying Wang, Xin Wang, Jiliang Tang, Wanli Zuo, Guoyong Cai |
| Swiss-System Based Cascade Ranking for Gait-Based Person Re-Identification | |
| Lan Wei, Yonghong Tian, Yaowei Wang, Tiejun Huang |
| An SVD and Derivative Kernel Approach to Learning from Geometric Data | |
| Eric Wong, J. Zico Kolter |
| Stable Feature Selection from Brain sMRI | |
| Bo Xin, Lingjing Hu, Yizhou Wang, Wen Gao |
| Forecasting Collector Road Speeds Under High Percentage of Missing Data | |
| Xin Xin, Chunwei Lu, Yashen Wang, Heyan Huang |
| Temporally Adaptive Restricted Boltzmann Machine for Background Modeling | |
| Linli Xu, Yitan Li, Yubo Wang, Enhong Chen |
Multiagent Systems
| Solving Games with Functional Regret Estimation | |
| Kevin Waugh, Dustin Morrill, James Andrew Bagnell, Michael Bowling |
NLP and Knowledge Representation
| Ranking with Recursive Neural Networks and Its Application to Multi-Document Summarization | |
| Ziqiang Cao, Furu Wei, Li Dong, Sujian Li, Ming Zhou |
| Sense-Aaware Semantic Analysis: A Multi-Prototype Word Representation Model Using Wikipedia | |
| Zhaohui Wu, C. Lee Giles |
NLP and Machine Learning
| Never-Ending Learning | |
| Tom M. Mitchell, William Cohen, Estevam Hruschka, Partha Talukdar, Justin Betteridge, Andrew Carlson, Bhavana Dalvi Mishra, Matthew Gardner, Bryan Kisiel, Jayant Krishnamurthy, Ni Lao, Kathryn Mazaitis, Thahir Mohamed, Ndapa Nakashole, Emmanouil Antonios Platanios, Alan Ritter, Mehdi Samadi, Burr Settles, Richard Wang, Derry Wijaya, Abhinav Gupta, Xinlei Chen, Abulhair Saparov, Malcolm Greaves, Joel Welling |
| Microblog Sentiment Classification with Contextual Knowledge Regularization | |
| Fangzhao Wu, Yangqiu Song, Yongfeng Huang |
NLP and Text Mining
| A Neural Probabilistic Model for Context Based Citation Recommendation | |
| Wenyi Huang, Zhaohui Wu, Chen Liang, Prasenjit Mitra, C. Lee Giles |
| Learning to Recommend Quotes for Writing | |
| Jiwei Tan, Xiaojun Wan, Jianguo Xiao |
Novel Machine Learning Algorithms
| A Probabilistic Covariate Shift Assumption for Domain Adaptation | |
| Tameem Adel, Alexander Wong |
| Graph-Sparse LDA: A Topic Model with Structured Sparsity | |
| Finale Doshi-Velez, Byron C. Wallace, Ryan Adams |
| Pathway Graphical Lasso | |
| Maxim Grechkin, Maryam Fazel, Daniela Witten, Su-In Lee |
| Low-Rank Multi-View Learning in Matrix Completion for Multi-Label Image Classification | |
| Meng Liu, Yong Luo, Dacheng Tao, Chao Xu, Yonggang Wen |
| Absent Multiple Kernel Learning | |
| Xinwang Liu, Lei Wang, Jianping Yin, Yong Dou, Jian Zhang |
| Noise-Robust Semi-Supervised Learning by Large-Scale Sparse Coding | |
| Zhiwu Lu, Xin Gao, Liwei Wang, Ji-Rong Wen, Songfang Huang |
| Probabilistic Attributed Hashing | |
| Mingdong Ou, Peng Cui, Jun Wang, Fei Wang, Wenwu Zhu |
| Leveraging Features and Networks for Probabilistic Tensor Decomposition | |
| Piyush Rai, Yingjian Wang, Lawrence Carin |
| Clustering Longitudinal Clinical Marker Trajectories from Electronic Health Data: Applications to Phenotyping and Endotype Discovery | |
| Peter Schulam, Fredrick Wigley, Suchi Saria |
| SP-SVM: Large Margin Classifier for Data on Multiple Manifolds | |
| Bin Shen, Bao-Di Liu, Qifan Wang, Yi Fang, Jan P. Allebach |
| Spectral Label Refinement for Noisy and Missing Text Labels | |
| Yangqiu Song, Chenguang Wang, Ming Zhang, Hailong Sun, Qiang Yang |
| Gaussian Cardinality Restricted Boltzmann Machines | |
| Cheng Wan, Xiaoming Jin, Guiguang Ding, Dou Shen |
| Online Boosting Algorithms for Anytime Transfer and Multitask Learning | |
| Boyu Wang, Joelle Pineau |
| Convex Batch Mode Active Sampling via α-Relative Pearson Divergence | |
| Hanmo Wang, Liang Du, Peng Zhou, Lei Shi, Yi-Dong Shen |
| Relational Stacked Denoising Autoencoder for Tag Recommendation | |
| Hao Wang, Xingjian Shi, Dit-Yan Yeung |
| Learning Robust Locality Preserving Projection via p-Order Minimization | |
| Hua Wang, Feiping Nie, Heng Huang |
| Learning to Hash on Structured Data | |
| Qifan Wang, Luo Si, Bin Shen |
| Transfer Feature Representation via Multiple Kernel Learning | |
| Wei Wang, Hao Wang, Chen Zhang, Fanjiang Xu |
| Optimal Estimation of Multivariate ARMA Models | |
| Martha White, Junfeng Wen, Michael Bowling, Dale Schuurmans |
| Improving Approximate Value Iteration with Complex Returns by Bounding | |
| Robert William Wright, Xingye Qiao, Steven Loscalzo, Lei Yu |
| Bayesian Model Averaging Naive Bayes (BMA-NB): Averaging over an Exponential Number of Feature Models in Linear Time | |
| Ga Wu, Scott Sanner, Rodrigo F.S.C. Oliveira |
| A Reduction of the Elastic Net to Support Vector Machines with an Application to GPU Computing | |
| Quan Zhou, Wenlin Chen, Shiji Song, Jacob R. Gardner, Kilian Q. Weinberger, Yixin Chen |
| 10,000+ Times Accelerated Robust Subset Selection | |
| Feiyun Zhu, Bin Fan, Xinliang Zhu, Ying Wang, Shiming Xiang, Chunhong Pan |
Planning and Scheduling
| A Generalization of Sleep Sets Based on Operator Sequence Redundancy | |
| Robert C. Holte, Yusra Alkhazraji, Martin Wehrle |
| Exploiting Submodular Value Functions for Faster Dynamic Sensor Selection | |
| Yash Satsangi, Shimon Whiteson, Frans A. Oliehoek |
| Heuristics and Symmetries in Classical Planning | |
| Alexander Shleyfman, Michael Katz, Malte Helmert, Silvan Sievers, Martin Wehrle |
| Factored Symmetries for Merge-and-Shrink Abstractions | |
| Silvan Sievers, Martin Wehrle, Malte Helmert, Alexander Shleyfman, Michael Katz |
| tBurton: A Divide and Conquer Temporal Planner | |
| David Wang, Brian Williams |
| Multi-Objective MDPs with Conditional Lexicographic Reward Preferences | |
| Kyle Hollins Wray, Shlomo Zilberstein, Abdel-Illah Mouaddib |
| Resolving Over-Constrained Probabilistic Temporal Problems through Chance Constraint Relaxation | |
| Peng Yu, Cheng Fang, Brian Williams |
Reasoning under Uncertainty
| On the Decreasing Power of Kernel and Distance Based Nonparametric Hypothesis Tests in High Dimensions | |
| Aaditya Ramdas, Sashank Jakkam Reddi, Barnabas Poczos, Aarti Singh, Larry Wasserman |
| Chance-Constrained Scheduling via Conflict-Directed Risk Allocation | |
| Andrew J. Wang, Brian C. Williams |
| Learning to Reject Sequential Importance Steps for Continuous-Time Bayesian Networks | |
| Jeremy C. Weiss, Sriraam Natarajan, C. David Page |
Robotics
| Spatio-Spectral Exploration Combining In Situ and Remote Measurements | |
| David Ray Thompson, David Wettergreen, Greydon Foil, Michael Furlong, Anatha Ravi Kiran |
Search and Constraint Satisfaction
| Efficient Extraction of QBF (Counter)models from Long-Distance Resolution Proofs | |
| Valeriy Balabanov, Jie-Hong Roland Jiang, Mikolas Janota, Magdalena Widl |
Vision
| Building Effective Representations for Sketch Recognition | |
| Jun Guo, Changhu Wang, Hongyang Chao |
| Learning Predictable and Discriminative Attributes for Visual Recognition | |
| Yuchen Guo, Guiguang Ding, Xiaoming Jin, Jianmin Wang |
| Multi-View Point Registration via Alternating Optimization | |
| Junchi Yan, Jun Wang, Hongyuan Zha, Xiaokang Yang, Stephen M. Chu |
| Metric Learning Driven Multi-Task Structured Output Optimization for Robust Keypoint Tracking | |
| Liming Zhao, Xi Li, Jun Xiao, Fei Wu, Yueting Zhuang |
Senior Member Papers
| Speech Adaptation in Extended Ambient Intelligence Environments | |
| Bonnie J. Dorr, Lucian Galescu, Ian Perera, Kristy Hollingshead-Seitz, David Atkinson, Micah Clark, William Clancey, Yorick Wilks, Eric Fosler-Lussier |
| Challenges in Resource and Cost Allocation | |
| Toby Walsh |
Student Abstracts
| Query Abduction for ELH Ontologies | |
| Mahsa Chitsaz, Zhe Wang, Kewen Wang |
| Characterizing Performance of Consistency Algorithms by Algorithm Configuration of Random CSP Generators | |
| Daniel J. Geschwender, Robert J. Woodward, Berthe Y. Choueiry |
| Handling Uncertainty in Answer Set Programming | |
| Yi Wang, Joohyung Lee |
| Combining Machine Learning and Crowdsourcing for Better Understanding Commodity Reviews | |
| Heting Wu, Hailong Sun, Yili Fang, Kefan Hu, Yongqing Xie, Yangqiu Song, Xudong Liu |
| Touchless Telerobotic Surgery — Is It Possible at All? | |
| Tian Zhou, Maria Eugenia Cabrera, Juan Pablo Wachs |
Doctoral Consortium
| Transfer Learning-Based Co-Run Scheduling for Heterogeneous Datacenters | |
| Wei Kuang, Laura E. Brown, Zhenlin Wang |
| Risk-Aware Scheduling throughout Planning and Execution | |
| Andrew J. Wang |
Demonstrations
| A Planning-Based Assistance System for Setting Up a Home Theater | |
| Pascal Bercher, Felix Richter, Thilo Hörnle, Thomas Geier, Daniel Höller, Gregor Behnke, Florian Nothdurft, Frank Honold, Wolfgang Minker, Michael Weber, Susanne Biundo |
| CrowdMR: Integrating Crowdsourcing with MapReduce for AI-Hard Problems | |
| Jun Chen, Chaokun Wang, Yiyuan Bai |
| Circumventing Robots' Failures by Embracing Their Faults: A Practical Approach to Planning for Autonomous Construction | |
| Stefan Witwicki, Francesco Mondada |
Virtual Agent Demonstrations
| Interactive Narrative Planning in The Best Laid Plans | |
| Stephen G. Ware, R. Michael Young, Christian Stith, Phillip Wright |
What's Hot Abstracts
| RoboCup@Home — Benchmarking Domestic Service Robots | |
| Sven Wachsmuth, Dirk Holz, Maja Rudinac, Javier Ruiz-del-Solar |
| Data Science for Social Good — 2014 KDD Highlights | |
| Wei Wang |
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