AI and the Web
| On Information Coverage for Location Category Based Point-of-Interest Recommendation | |
| Xuefeng Chen, Yifeng Zeng, Gao Cong, Shengchao Qin, Yanping Xiang, Yuanshun Dai |
| An Axiomatic Approach to Link Prediction | |
| Sara Cohen, Aviv Zohar |
| Perceiving Group Themes from Collective Social and Behavioral Information | |
| Peng Cui, Tianyang Zhang, Fei Wang, Peng He |
| TrustSVD: Collaborative Filtering with Both the Explicit and Implicit Influence of User Trust and of Item Ratings | |
| Guibing Guo, Jie Zhang, Neil Yorke-Smith |
| A Stochastic Model for Detecting Heterogeneous Link Communities in Complex Networks | |
| Dongxiao He, Dayou Liu, Di Jin, Weixiong Zhang |
| Cross-Modal Image Clustering via Canonical Correlation Analysis | |
| Cheng Jin, Wenhui Mao, Ruiqi Zhang, Yuejie Zhang, Xiangyang Xue |
| Modeling with Node Degree Preservation Can Accurately Find Communities | |
| Di Jin, Zheng Chen, Dongxiao He, Weixiong Zhang |
| Approximating Model-Based ABox Revision in DL-Lite: Theory and Practice | |
| Guilin Qi, Zhe Wang, Kewen Wang, Xuefeng Fu, Zhiqiang Zhuang |
| Sampling Representative Users from Large Social Networks | |
| Jie Tang, Chenhui Zhang, Keke Cai, Li Zhang, Zhong Su |
| Mining User Intents in Twitter: A Semi-Supervised Approach to Inferring Intent Categories for Tweets | |
| Jinpeng Wang, Gao Cong, Xin Wayne Zhao, Xiaoming Li |
| Mining Query Subtopics from Questions in Community Question Answering | |
| Yu Wu, Wei Wu, Zhoujun Li, Ming Zhou |
| On the Scalable Learning of Stochastic Blockmodel | |
| Bo Yang, Xuehua Zhao |
| 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 |
| Incorporating Implicit Link Preference Into Overlapping Community Detection | |
| Hongyi Zhang, Irwin King, Michael R. Lyu |
| Retweet Behavior Prediction Using Hierarchical Dirichlet Process | |
| Qi Zhang, Yeyun Gong, Ya Guo, Xuanjing Huang |
| Exploring Key Concept Paraphrasing Based on Pivot Language Translation for Question Retrieval | |
| Wei-Nan Zhang, Zhao-Yan Ming, Yu Zhang, Ting Liu, Tat-Seng Chua |
| Representation Learning for Aspect Category Detection in Online Reviews | |
| Xinjie Zhou, Xiaojun Wan, Jianguo Xiao |
Cognitive Systems
| Automated Construction of Visual-Linguistic Knowledge via Concept Learning from Cartoon Videos | |
| Jung-Woo Ha, Kyung-Min Kim, Byoung-Tak Zhang |
| An Association Network for Computing Semantic Relatedness | |
| Keyang Zhang, Kenny Zhu, Seung-won Hwang |
Computational Sustainability and AI
| Energy Usage Behavior Modeling in Energy Disaggregation via Marked Hawkes Process | |
| Liangda Li, Hongyuan Zha |
| A Simulator of Human Emergency Mobility Following Disasters: Knowledge Transfer from Big Disaster Data | |
| Xuan Song, Quanshi Zhang, Yoshihide Sekimoto, Ryosuke Shibasaki, Nicholas Jing Yuan, Xing Xie |
Game Theory and Economic Paradigms
| Facility Location with Double-Peaked Preferences | |
| Aris Filos-Ratsikas, Minming Li, Jie Zhang, Qiang Zhang |
| Voting Rules As Error-Correcting Codes | |
| Ariel D. Procaccia, Nisarg Shah, Yair Zick |
| Balanced Trade Reduction for Dual-Role Exchange Markets | |
| Dengji Zhao, Sarvapali D. Ramchurn, Enrico H. Gerding, Nicholas R. Jennings |
| Optimal Machine Strategies to Commit to in Two-Person Repeated Games | |
| Song Zuo, Pingzhong Tang |
Heuristic Search and Optimization
| On Unconstrained Quasi-Submodular Function Optimization | |
| Jincheng Mei, Kang Zhao, Bao-Liang Lu |
| TDS+: Improving Temperature Discovery Search | |
| Yeqin Zhang, Martin Müller |
| Massively Parallel A* Search on a GPU | |
| Yichao Zhou, Jianyang Zeng |
Human-Computation and Crowd Sourcing
| On the Impossibility of Convex Inference in Human Computation | |
| Nihar B. Shah, Dengyong Zhou |
Humans and AI
| Predicting Emotion Perception Across Domains: A Study of Singing and Speaking | |
| Biqiao Zhang, Emily Mower Provost, Robert Swedberg, Georg Essl |
Integrated Systems
| CORPP: Commonsense Reasoning and Probabilistic Planning, as Applied to Dialog with a Mobile Robot | |
| Shiqi Zhang, Peter Stone |
| Tackling Mental Health by Integrating Unobtrusive Multimodal Sensing | |
| Dawei Zhou, Jiebo Luo, Vincent M.B. Silenzio, Yun Zhou, Jile Hu, Glenn Currier, Henry Kautz |
Knowledge Representation and Reasoning
| Tractable Interval Temporal Propositional and Description Logics | |
| Alessandro Artale, Roman Kontchakov, Vladislav Ryzhikov, Michael Zakharyaschev |
| Partial Meet Revision and Contraction in Logic Programs | |
| Sebastian Binnewies, Zhiqiang Zhuang, Kewen Wang |
| 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 |
| A Logic for Reasoning About Game Strategies | |
| Dongmo Zhang, Michael Thielscher |
| Existential Rule Languages with Finite Chase: Complexity and Expressiveness | |
| Heng Zhang, Yan Zhang, Jia-Huai You |
Machine Learning Applications
| Marginalized Denoising for Link Prediction and Multi-Label Learning | |
| Zheng Chen, Minmin Chen, Kilian Weinberger, Weixiong Zhang |
| Structured Sparsity with Group-Graph Regularization | |
| Xin-Yu Dai, Jian-Bing Zhang, Shu-Jian Huang, Jia-Jun Chen, Zhi-Hua Zhou |
| Identifying At-Risk Students in Massive Open Online Courses | |
| Jiazhen He, James Bailey, Benjamin I. P. Rubinstein, Rui Zhang |
| Generalized Singular Value Thresholding | |
| Canyi Lu, Changbo Zhu, Chunyan Xu, Shuicheng Yan, Zhouchen Lin |
| 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 |
| On Machine Learning towards Predictive Sales Pipeline Analytics | |
| Junchi Yan, Chao Zhang, Hongyuan Zha, Min Gong, Changhua Sun, Jin Huang, Stephen Chu, Xiaokang Yang |
| Bayesian Approach to Modeling and Detecting Communities in Signed Network | |
| Bo Yang, Xuehua Zhao, Xueyan Liu |
| Sparse Bayesian Multiview Learning for Simultaneous Association Discovery and Diagnosis of Alzheimer's Disease | |
| Shandian Zhe, Zenglin Xu, Yuan Qi, Peng Yu |
| A Closed Form Solution to Multi-View Low-Rank Regression | |
| Shuai Zheng, Xiao Cai, Chris Ding, Feiping Nie, Heng Huang |
| A Nonconvex Relaxation Approach for Rank Minimization Problems | |
| Xiaowei Zhong, Linli Xu, Yitan Li, Zhiyuan Liu, Enhong Chen |
Multiagent Systems
| Automated Analysis of Commitment Protocols Using Probabilistic Model Checking | |
| Akın Günay, Song Songzheng, Yang Liu, Jie Zhang |
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 |
| Learning Entity and Relation Embeddings for Knowledge Graph Completion | |
| Yankai Lin, Zhiyuan Liu, Maosong Sun, Yang Liu, Xuan Zhu |
| Phrase Type Sensitive Tensor Indexing Model for Semantic Composition | |
| Yu Zhao, Zhiyuan Liu, Maosong Sun |
NLP and Machine Learning
| Recurrent Convolutional Neural Networks for Text Classification | |
| Siwei Lai, Liheng Xu, Kang Liu, Jun Zhao |
NLP and Text Mining
| Word Segmentation for Chinese Novels | |
| Likun Qiu, Yue Zhang |
| An Unsupervised Framework of Exploring Events on Twitter: Filtering, Extraction and Categorization | |
| Deyu Zhou, Liangyu Chen, Yulan He |
Novel Machine Learning Algorithms
| Efficient Active Learning of Halfspaces via Query Synthesis | |
| Ibrahim Alabdulmohsin, Xin Gao, Xiangliang Zhang |
| A Convex Formulation for Spectral Shrunk Clustering | |
| Xiaojun Chang, Feiping Nie, Zhigang Ma, Yi Yang, Xiaofang Zhou |
| An Adaptive Gradient Method for Online AUC Maximization | |
| Yi Ding, Peilin Zhao, Steven C. H. Hoi, Yew-Soon Ong |
| Bayesian Maximum Margin Principal Component Analysis | |
| Changying Du, Shandian Zhe, Fuzhen Zhuang, Yuan Qi, Qing He, Zhongzhi Shi |
| Learning Sparse Representations from Datasets with Uncertain Group Structures: Model, Algorithm and Applications | |
| Longwen Gao, Shuigeng Zhou |
| Discriminative Feature Grouping | |
| Lei Han, Yu Zhang |
| Learning Multi-Level Task Groups in Multi-Task Learning | |
| Lei Han, Yu Zhang |
| Maximin Separation Probability Clustering | |
| Gao Huang, Jianwen Zhang, Shiji Song, Zheng Chen |
| The Dynamic Chinese Restaurant Process via Birth and Death Processes | |
| Rui Huang, Fengyuan Zhu, Pheng-Ann Heng |
| Self-Paced Curriculum Learning | |
| Lu Jiang, Deyu Meng, Qian Zhao, Shiguang Shan, Alexander G. Hauptmann |
| Multi-tensor Completion with Common Structures | |
| Chao Li, Qibin Zhao, Junhua Li, Andrzej Cichocki, Lili Guo |
| Shift-Pessimistic Active Learning Using Robust Bias-Aware Prediction | |
| Anqi Liu, Lev Reyzin, Brian D. Ziebart |
| Unidimensional Clustering of Discrete Data Using Latent Tree Models | |
| April H. Liu, Leonard K.M. Poon, Nevin L. Zhang |
| Absent Multiple Kernel Learning | |
| Xinwang Liu, Lei Wang, Jianping Yin, Yong Dou, Jian Zhang |
| Using Machine Teaching to Identify Optimal Training-Set Attacks on Machine Learners | |
| Shike Mei, Xiaojin Zhu |
| Probabilistic Attributed Hashing | |
| Mingdong Ou, Peng Cui, Jun Wang, Fei Wang, Wenwu Zhu |
| Pareto Ensemble Pruning | |
| Chao Qian, Yang Yu, Zhi-Hua Zhou |
| Spectral Label Refinement for Noisy and Missing Text Labels | |
| Yangqiu Song, Chenguang Wang, Ming Zhang, Hailong Sun, Qiang Yang |
| Convex Batch Mode Active Sampling via α-Relative Pearson Divergence | |
| Hanmo Wang, Liang Du, Peng Zhou, Lei Shi, Yi-Dong Shen |
| Transfer Feature Representation via Multiple Kernel Learning | |
| Wei Wang, Hao Wang, Chen Zhang, Fanjiang Xu |
| Dictionary Learning with Mutually Reinforcing Group-Graph Structures | |
| Hongteng Xu, Licheng Yu, Dixin Luo, Hongyuan Zha, Yi Xu |
| Active Manifold Learning via Gershgorin Circle Guided Sample Selection | |
| Hongteng Xu, Hongyuan Zha, Ren-Cang Li, Mark A. Davenport |
| Nystrom Approximation for Sparse Kernel Methods: Theoretical Analysis and Empirical Evaluation | |
| Zenglin Xu, Rong Jin, Bin Shen, Shenghuo Zhu |
| Exact Recoverability of Robust PCA via Outlier Pursuit with Tight Recovery Bounds | |
| Hongyang Zhang, Zhouchen Lin, Chao Zhang, Edward Y. Chang |
| Multi-Source Domain Adaptation: A Causal View | |
| Kun Zhang, Mingming Gong, Bernhard Schoelkopf |
| Online Bandit Learning for a Special Class of Non-Convex Losses | |
| Lijun Zhang, Tianbao Yang, Rong Jin, Zhi-Hua Zhou |
| Online Dictionary Learning on Symmetric Positive Definite Manifolds with Vision Applications | |
| Shengping Zhang, Shiva Kasiviswanathan, Pong C. Yuen, Mehrtash Harandi |
| Constrained NMF-Based Multi-View Clustering on Unmapped Data | |
| Xianchao Zhang, Linlin Zong, Xinyue Liu, Hong Yu |
| Multi-Task Learning and Algorithmic Stability | |
| Yu Zhang |
| SoF: Soft-Cluster Matrix Factorization for Probabilistic Clustering | |
| Han Zhao, Pascal Poupart, Yongfeng Zhang, Martin Lysy |
| Self-Paced Learning for Matrix Factorization | |
| Qian Zhao, Deyu Meng, Lu Jiang, Qi Xie, Zongben Xu, Alexander G. Hauptmann |
| Cross-Modal Similarity Learning via Pairs, Preferences, and Active Supervision | |
| Yi Zhen, Piyush Rai, Hongyuan Zha, Lawrence Carin |
| 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
| Preference Planning for Markov Decision Processes | |
| Meilun Li, Zhikun She, Andrea Turrini, Lijun Zhang |
| Tractability of Planning with Loops | |
| Siddharth Srivastava, Shlomo Zilberstein, Abhishek Gupta, Pieter Abbeel, Stuart Russell |
| Multi-Objective MDPs with Conditional Lexicographic Reward Preferences | |
| Kyle Hollins Wray, Shlomo Zilberstein, Abdel-Illah Mouaddib |
| An Efficient Forest-Based Tabu Search Algorithm for the Split-delivery Vehicle Routing Problem | |
| Zizhen Zhang, Huang He, Zhixing Luo, Hu Qin, Songshan Guo |
| Crowdsourced Action-Model Acquisition for Planning | |
| Hankz Hankui Zhuo |
Reasoning under Uncertainty
| Nonparametric Scoring Rules | |
| Erik Peter Zawadzki, Sebastien Lahaie |
| On Fairness in Decision-Making under Uncertainty: Definitions, Computation, and Comparison | |
| Chongjie Zhang, Julie A. Shah |
| An Exact Algorithm for Solving Most Relevant Explanation in Bayesian Networks | |
| Xiaoyuan Zhu, Changhe Yuan |
Robotics
| Intent Prediction and Trajectory Forecasting via Predictive Inverse Linear-Quadratic Regulation | |
| Mathew Monfort, Anqi Liu, Brian Ziebart |
Search and Constraint Satisfaction
| Binarisation via Dualisation for Valued Constraints | |
| David A. Cohen, Martin C. Cooper, Peter G. Jeavons, Stanislav Zivny |
Vision
| Exploring Semantic Inter-Class Relationships (SIR) for Zero-Shot Action Recognition | |
| Chuang Gan, Ming Lin, Yi Yang, Yueting Zhuang, Alexander G.Hauptmann |
| Automatic Topic Discovery for Multi-Object Tracking | |
| Wenhan Luo, Björn Stenger, Xiaowei Zhao, Tae-Kyun Kim |
| 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 |
| Learning Face Hallucination in the Wild | |
| Erjin Zhou, Haoqiang Fan, Zhimin Cao, Yuning Jiang, Qi Yin |
| A Boosted Multi-Task Model for Pedestrian Detection with Occlusion Handling | |
| Chao Zhu, Yuxin Peng |
Senior Member Papers
| Explaining Watson: Polymath Style | |
| Wlodek W. Zadrozny, Valeria de Paiva, Lawrence S. Moss |
| Machine Teaching: An Inverse Problem to Machine Learning and an Approach Toward Optimal Education | |
| Xiaojin Zhu |
| Building Strong Semi-Autonomous Systems | |
| Shlomo Zilberstein |
Student Abstracts
| What Is the Longest River in the USA? Semantic Parsing for Aggregation Questions | |
| Kun Xu, Sheng Zhang, Yansong Feng, Songfang Huang, Dongyan Zhao |
| Accelerating SAT Solving by Common Subclause Elimination | |
| Yaowei Yan, Chris E. Gutierrez, Jeriah Jn-Charles, Forrest Sheng Bao, Yuanlin Zhang |
| Global Policy Construction in Modular Reinforcement Learning | |
| Ruohan Zhang, Zhao Song, Dana H. Ballard |
| Touchless Telerobotic Surgery — Is It Possible at All? | |
| Tian Zhou, Maria Eugenia Cabrera, Juan Pablo Wachs |
Demonstrations
| VecLP: A Realtime Video Recommendation System for Live TV Programs | |
| Sheng Gao, Dai Zhang, Honggang Zhang, Chao Huang, Yongsheng Zhang, Jianxin Liao, Jun Guo |
| Crowd Motion Monitoring with Thermodynamics-Inspired Feature | |
| Xinfeng Zhang, Su Yang, Yuan Yan Tang, Weishan Zhang |
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