| 2018 | A Blended Deep Learning Approach for Predicting User Intended Actions. Fei Tan, Zhi Wei, Jun He, Xiang Wu, Bo Peng, Haoran Liu, Zhenyu Yan |
| 2018 | A General Cross-Domain Recommendation Framework via Bayesian Neural Network. Jia He, Rui Liu, Fuzhen Zhuang, Fen Lin, Cheng Niu, Qing He |
| 2018 | A Harmonic Motif Modularity Approach for Multi-layer Network Community Detection. Ling Huang, Chang-Dong Wang, Hong-Yang Chao |
| 2018 | A Knowledge-Enhanced Deep Recommendation Framework Incorporating GAN-Based Models. Deqing Yang, Zikai Guo, Ziyi Wang, Juyang Jiang, Yanghua Xiao, Wei Wang |
| 2018 | A Low Rank Weighted Graph Convolutional Approach to Weather Prediction. Tyler Wilson, Pang-Ning Tan, Lifeng Luo |
| 2018 | A Machine Reading Comprehension-Based Approach for Featured Snippet Extraction. Chen Zhang, Xuyuanyu Zhang, Hao Wang |
| 2018 | A Reinforcement Learning Framework for Explainable Recommendation. Xiting Wang, Yiru Chen, Jie Yang, Le Wu, Zhengtao Wu, Xing Xie |
| 2018 | A Self-Organizing Tensor Architecture for Multi-view Clustering. Lifang He, Chun-Ta Lu, Yong Chen, Jiawei Zhang, Linlin Shen, Philip S. Yu, Fei Wang |
| 2018 | A Semi-Supervised and Inductive Embedding Model for Churn Prediction of Large-Scale Mobile Games. Xi Liu, Muhe Xie, Xidao Wen, Rui Chen, Yong Ge, Nick Duffield, Na Wang |
| 2018 | A TIMBER Framework for Mining Urban Tree Inventories Using Remote Sensing Datasets. Yiqun Xie, Han Bao, Shashi Shekhar, Joseph F. Knight |
| 2018 | A Unified Theory of the Mobile Sequential Recommendation Problem. Zeyang Ye, Keli Xiao, Yuefan Deng |
| 2018 | A United Approach to Learning Sparse Attributed Network Embedding. Hao Wang, Enhong Chen, Qi Liu, Tong Xu, Dongfang Du, Wen Su, Xiaopeng Zhang |
| 2018 | A Variable-Order Regime Switching Model to Identify Significant Patterns in Financial Markets. Philippe Chatigny, Rongbo Chen, Jean-Marc Patenaude, Shengrui Wang |
| 2018 | ASTM: An Attentional Segmentation Based Topic Model for Short Texts. Jiamiao Wang, Ling Chen, Lu Qin, Xindong Wu |
| 2018 | Accelerating Experimental Design by Incorporating Experimenter Hunches. Cheng Li, Santu Rana, Sunil Gupta, Vu Nguyen, Svetha Venkatesh, Alessandra Sutti, David Rubin de Celis Leal, Teo Slezak, Murray Height, Mazher Mohammed, Ian Gibson |
| 2018 | Accurate Causal Inference on Discrete Data. Kailash Budhathoki, Jilles Vreeken |
| 2018 | Active Learning on Heterogeneous Information Networks: A Multi-armed Bandit Approach. Doris Xin, Ahmed El-Kishky, De Liao, Brandon Norick, Jiawei Han |
| 2018 | Adaptive Affinity Learning for Accurate Community Detection. Fanghua Ye, Shenghui Li, Zhiwei Lin, Chuan Chen, Zibin Zheng |
| 2018 | Adversarially Learned Anomaly Detection. Houssam Zenati, Manon Romain, Chuan-Sheng Foo, Bruno Lecouat, Vijay Chandrasekhar |
| 2018 | An Efficient Many-Class Active Learning Framework for Knowledge-Rich Domains. Weishi Shi, Qi Yu |
| 2018 | An Integrated Model for Crime Prediction Using Temporal and Spatial Factors. Fei Yi, Zhiwen Yu, Fuzhen Zhuang, Xiao Zhang, Hui Xiong |
| 2018 | Apk2vec: Semi-Supervised Multi-view Representation Learning for Profiling Android Applications. Annamalai Narayanan, Charlie Soh, Lihui Chen, Yang Liu, Lipo Wang |
| 2018 | Asynchronous Dual Free Stochastic Dual Coordinate Ascent for Distributed Data Mining. Zhouyuan Huo, Xue Jiang, Heng Huang |
| 2018 | Automatic Optical Coherence Tomography Imaging Analysis for Retinal Disease Screening Using Machine Learning Techniques. Ramamohanarao Kotagiri |
| 2018 | Billion-Scale Network Embedding with Iterative Random Projection. Ziwei Zhang, Peng Cui, Haoyang Li, Xiao Wang, Wenwu Zhu |
| 2018 | Binarized attributed network embedding. Hong Yang, Shirui Pan, Peng Zhang, Ling Chen, Defu Lian, Chengqi Zhang |
| 2018 | Bitcoin Volatility Forecasting with a Glimpse into Buy and Sell Orders. Tian Guo, Albert Bifet, Nino Antulov-Fantulin |
| 2018 | Blockchain Data Analytics. Cuneyt Gurcan Akcora, Murat Kantarcioglu, Yulia R. Gel |
| 2018 | Bug Localization via Supervised Topic Modeling. Yaojing Wang, Yuan Yao, Hanghang Tong, Xuan Huo, Min Li, Feng Xu, Jian Lu |
| 2018 | CADEN: A Context-Aware Deep Embedding Network for Financial Opinions Mining. Liang Zhang, Keli Xiao, Hengshu Zhu, Chuanren Liu, Jingyuan Yang, Bo Jin |
| 2018 | Characteristic Subspace Learning for Time Series Classification. Yuanduo He, Jialiang Pei, Xu Chu, Yasha Wang, Zhu Jin, Guangju Peng |
| 2018 | Chinese Medical Concept Normalization by Using Text and Comorbidity Network Embedding. Yizhou Zhang, Xiaojun Ma, Guojie Song |
| 2018 | Clustered Lifelong Learning Via Representative Task Selection. Gan Sun, Yang Cong, Yu Kong, Xiaowei Xu |
| 2018 | Clustering on Sparse Data in Non-overlapping Feature Space with Applications to Cancer Subtyping. Tianyu Kang, Kourosh Zarringhalam, Marieke L. Kuijjer, Ping Chen, John Quackenbush, Wei Ding |
| 2018 | Coherent Graphical Lasso for Brain Network Discovery. Hang Yin, Xiangnan Kong, Xinyue Liu |
| 2018 | Collaborative Translational Metric Learning. Chanyoung Park, Donghyun Kim, Xing Xie, Hwanjo Yu |
| 2018 | Collapsed Variational Inference for Nonparametric Bayesian Group Factor Analysis. Sikun Yang, Heinz Koeppl |
| 2018 | Collective Human Behavior in Cascading System: Discovery, Modeling and Applications. Yunfei Lu, Linyun Yu, Tianyang Zhang, Chengxi Zang, Peng Cui, Chaoming Song, Wenwu Zhu |
| 2018 | Concept Mining via Embedding. Keqian Li, Hanwen Zha, Yu Su, Xifeng Yan |
| 2018 | Confident Kernel Sparse Coding and Dictionary Learning. Babak Hosseini, Barbara Hammer |
| 2018 | Cost Effective Multi-label Active Learning via Querying Subexamples. Xia Chen, Guoxian Yu, Carlotta Domeniconi, Jun Wang, Zhao Li, Zili Zhang |
| 2018 | Cross-Domain Labeled LDA for Cross-Domain Text Classification. Baoyu Jing, Chenwei Lu, Deqing Wang, Fuzhen Zhuang, Cheng Niu |
| 2018 | D-CARS: A Declarative Context-Aware Recommender System. Rosni Lumbantoruan, Xiangmin Zhou, Yongli Ren, Zhifeng Bao |
| 2018 | DAPPER: Scaling Dynamic Author Persona Topic Model to Billion Word Corpora. Robert A. Giaquinto, Arindam Banerjee |
| 2018 | DE-RNN: Forecasting the Probability Density Function of Nonlinear Time Series. Kyongmin Yeo, Igor Melnyk, Nam Nguyen, Eun Kyung Lee |
| 2018 | DOPING: Generative Data Augmentation for Unsupervised Anomaly Detection with GAN. Swee Kiat Lim, Yi Loo, Ngoc-Trung Tran, Ngai-Man Cheung, Gemma Roig, Yuval Elovici |
| 2018 | Deep Discriminative Features Learning and Sampling for Imbalanced Data Problem. Yi-Hsun Liu, Chien-Liang Liu, Shin-Mu Tseng |
| 2018 | Deep Headline Generation for Clickbait Detection. Kai Shu, Suhang Wang, Thai Le, Dongwon Lee, Huan Liu |
| 2018 | Deep Heterogeneous Autoencoders for Collaborative Filtering. Yukun Ma, Jiu Xu, Björn Stenger, Chen Liu, Yu Hirate |
| 2018 | Deep Knowledge Tracing and Dynamic Student Classification for Knowledge Tracing. Sein Minn, Yi Yu, Michel C. Desmarais, Feida Zhu, Jill-Jênn Vie |
| 2018 | Deep Learning Based Scalable Inference of Uncertain Opinions. Xujiang Zhao, Feng Chen, Jin-Hee Cho |
| 2018 | Deep Reinforcement Learning with Knowledge Transfer for Online Rides Order Dispatching. Zhaodong Wang, Zhiwei (Tony) Qin, Xiaocheng Tang, Jieping Ye, Hongtu Zhu |
| 2018 | Deep Semantic Correlation Learning Based Hashing for Multimedia Cross-Modal Retrieval. Xiaolong Gong, Linpeng Huang, Fuwei Wang |
| 2018 | Deep Structure Learning for Fraud Detection. Haibo Wang, Chuan Zhou, Jia Wu, Weizhen Dang, Xingquan Zhu, Jilong Wang |
| 2018 | DeepAD: A Deep Learning Based Approach to Stroke-Level Abnormality Detection in Handwritten Chinese Character Recognition. Tie-Qiang Wang, Cheng-Lin Liu |
| 2018 | DeepDiffuse: Predicting the 'Who' and 'When' in Cascades. Mohammad Raihanul Islam, Sathappan Muthiah, Bijaya Adhikari, B. Aditya Prakash, Naren Ramakrishnan |
| 2018 | Defending Against Adversarial Samples Without Security through Obscurity. Wenbo Guo, Qinglong Wang, Kaixuan Zhang, Alexander G. Ororbia II, Sui Huang, Xue Liu, C. Lee Giles, Lin Lin, Xinyu Xing |
| 2018 | Demographic Inference Via Knowledge Transfer in Cross-Domain Recommender Systems. Jin Shang, Mingxuan Sun, Kevyn Collins-Thompson |
| 2018 | Density-Adaptive Local Edge Representation Learning with Generative Adversarial Network Multi-label Edge Classification. Yang Zhou, Sixing Wu, Chao Jiang, Zijie Zhang, Dejing Dou, Ruoming Jin, Pengwei Wang |
| 2018 | Diagnosis Prediction via Medical Context Attention Networks Using Deep Generative Modeling. Wonsung Lee, Sungrae Park, Weonyoung Joo, Il-Chul Moon |
| 2018 | Differentially Private Prescriptive Analytics. Haripriya Harikumar, Santu Rana, Sunil Gupta, Thin Nguyen, Ramachandra Kaimal, Svetha Venkatesh |
| 2018 | DipTransformation: Enhancing the Structure of a Dataset and Thereby Improving Clustering. Benjamin Schelling, Claudia Plant |
| 2018 | Discourse Processing and Its Applications in Text Mining. Shafiq R. Joty, Giuseppe Carenini, Raymond T. Ng, Gabriel Murray |
| 2018 | Discovering Reliable Dependencies from Data: Hardness and Improved Algorithms. Panagiotis Mandros, Mario Boley, Jilles Vreeken |
| 2018 | Discovering Topical Interactions in Text-Based Cascades Using Hidden Markov Hawkes Processes. Jayesh Choudhari, Anirban Dasgupta, Indrajit Bhattacharya, Srikanta Bedathur |
| 2018 | Distribution Preserving Multi-task Regression for Spatio-Temporal Data. Xi Liu, Pang-Ning Tan, Zubin Abraham, Lifeng Luo, Pouyan Hatami |
| 2018 | Doc2Cube: Allocating Documents to Text Cube Without Labeled Data. Fangbo Tao, Chao Zhang, Xiusi Chen, Meng Jiang, Tim Hanratty, Lance M. Kaplan, Jiawei Han |
| 2018 | Dr. Right!: Embedding-Based Adaptively-Weighted Mixture Multi-classification Model for Finding Right Doctors with Healthcare Experience Data. Xin Xu, Yanjie Fu, Haoyi Xiong, Bo Jin, Xiaolin Li, Shuli Hu, Minghao Yin |
| 2018 | DrugCom: Synergistic Discovery of Drug Combinations Using Tensor Decomposition. Huiyuan Chen, Jing Li |
| 2018 | Dynamic Illness Severity Prediction via Multi-task RNNs for Intensive Care Unit. Weitong Chen, Sen Wang, Guodong Long, Lina Yao, Quan Z. Sheng, Xue Li |
| 2018 | Dynamic Truth Discovery on Numerical Data. Shi Zhi, Fan Yang, Zheyi Zhu, Qi Li, Zhaoran Wang, Jiawei Han |
| 2018 | EDLT: Enabling Deep Learning for Generic Data Classification. Huimei Han, Xingquan Zhu, Ying Li |
| 2018 | EPAB: Early Pattern Aware Bayesian Model for Social Content Popularity Prediction. Qitian Wu, Chaoqi Yang, Xiaofeng Gao, Peng He, Guihai Chen |
| 2018 | Enhancing Question Understanding and Representation for Knowledge Base Relation Detection. Zihan Xu, Hai-Tao Zheng, Zuoyou Fu, Wei Wang |
| 2018 | Enhancing Very Fast Decision Trees with Local Split-Time Predictions. Viktor Losing, Heiko Wersing, Barbara Hammer |
| 2018 | Entire Regularization Path for Sparse Nonnegative Interaction Model. Mirai Takayanagi, Yasuo Tabei, Hiroto Saigo |
| 2018 | Estimating Latent Relative Labeling Importances for Multi-label Learning. Shuo He, Lei Feng, Li Li |
| 2018 | Evaluating Top-k Meta Path Queries on Large Heterogeneous Information Networks. Zichen Zhu, Reynold Cheng, Loc Do, Zhipeng Huang, Haoci Zhang |
| 2018 | Explainable Time Series Tweaking via Irreversible and Reversible Temporal Transformations. Isak Karlsson, Jonathan Rebane, Panagiotis Papapetrou, Aristides Gionis |
| 2018 | Exploiting Spatio-Temporal Correlations with Multiple 3D Convolutional Neural Networks for Citywide Vehicle Flow Prediction. Cen Chen, Kenli Li, Sin G. Teo, Guizi Chen, Xiaofeng Zou, XuLei Yang, Ramaseshan C. Vijay, Jiashi Feng, Zeng Zeng |
| 2018 | Exploiting Topic-Based Adversarial Neural Network for Cross-Domain Keyphrase Extraction. Yanan Wang, Qi Liu, Chuan Qin, Tong Xu, Yijun Wang, Enhong Chen, Hui Xiong |
| 2018 | Exploiting the Sentimental Bias between Ratings and Reviews for Enhancing Recommendation. Yuanbo Xu, Yongjian Yang, Jiayu Han, En Wang, Fuzhen Zhuang, Hui Xiong |
| 2018 | FI-GRL: Fast Inductive Graph Representation Learning via Projection-Cost Preservation. Fei Jiang, Lei Zheng, Jin Xu, Philip S. Yu |
| 2018 | Fast Rectangle Counting on Massive Networks. Rong Zhu, Zhaonian Zou, Jianzhong Li |
| 2018 | Fast Single-Class Classification and the Principle of Logit Separation. Gil Keren, Sivan Sabato, Björn W. Schuller |
| 2018 | Fast Tucker Factorization for Large-Scale Tensor Completion. Dongha Lee, Jaehyung Lee, Hwanjo Yu |
| 2018 | Feature-Induced Partial Multi-label Learning. Guoxian Yu, Xia Chen, Carlotta Domeniconi, Jun Wang, Zhao Li, Zili Zhang, Xindong Wu |
| 2018 | Finding Events in Temporal Networks: Segmentation Meets Densest-Subgraph Discovery. Polina Rozenshtein, Francesco Bonchi, Aristides Gionis, Mauro Sozio, Nikolaj Tatti |
| 2018 | Finding Maximal Significant Linear Representation between Long Time Series. Jiaye Wu, Yang Wang, Peng Wang, Jian Pei, Wei Wang |
| 2018 | Forecasting Wavelet Transformed Time Series with Attentive Neural Networks. Yi Zhao, Yanyan Shen, Yanmin Zhu, Junjie Yao |
| 2018 | GINA: Group Gender Identification Using Privacy-Sensitive Audio Data. Jiaxing Shen, Oren Lederman, Jiannong Cao, Florian Berg, Shaojie Tang, Alex Pentland |
| 2018 | Graph Pattern Mining and Learning through User-Defined Relations. Carlos H. C. Teixeira, Leornado Cotta, Bruno Ribeiro, Wagner Meira Jr. |
| 2018 | Heterogeneous Data Integration by Learning to Rerank Schema Matches. Avigdor Gal, Haggai Roitman, Roee Shraga |
| 2018 | Heterogeneous Embedding Propagation for Large-Scale E-Commerce User Alignment. Vincent W. Zheng, Mo Sha, Yuchen Li, Hongxia Yang, Yuan Fang, Zhenjie Zhang, Kian-Lee Tan, Kevin Chen-Chuan Chang |
| 2018 | Heterogeneous Hyper-Network Embedding. Inci M. Baytas, Cao Xiao, Fei Wang, Anil K. Jain, Jiayu Zhou |
| 2018 | Hierarchical Hybrid Feature Model for Top-N Context-Aware Recommendation. Yingpeng Du, Hongzhi Liu, Zhonghai Wu, Xing Zhang |
| 2018 | Highly Parallel Sequential Pattern Mining on a Heterogeneous Platform. Yu-Heng Hsieh, Chun-Chieh Chen, Hong-Han Shuai, Ming-Syan Chen |
| 2018 | Human-Centric Urban Transit Evaluation and Planning. Guojun Wu, Yanhua Li, Jie Bao, Yu Zheng, Jieping Ye, Jun Luo |
| 2018 | IEEE International Conference on Data Mining, ICDM 2018, Singapore, November 17-20, 2018 |
| 2018 | Image-Enhanced Multi-level Sentence Representation Net for Natural Language Inference. Kun Zhang, Guangyi Lv, Le Wu, Enhong Chen, Qi Liu, Han Wu, Fangzhao Wu |
| 2018 | Imbalanced Augmented Class Learning with Unlabeled Data by Label Confidence Propagation. Si-Yu Ding, Xu-Ying Liu, Min-Ling Zhang |
| 2018 | Improving Deep Forest by Confidence Screening. Ming Pang, Kai-Ming Ting, Peng Zhao, Zhi-Hua Zhou |
| 2018 | Imputing Structured Missing Values in Spatial Data with Clustered Adversarial Matrix Factorization. Qi Wang, Pang-Ning Tan, Jiayu Zhou |
| 2018 | Incomplete Label Uncertainty Estimation for Petition Victory Prediction with Dynamic Features. Junxiang Wang, Yuyang Gao, Andreas Züfle, Jingyuan Yang, Liang Zhao |
| 2018 | Independent Feature and Label Components for Multi-label Classification. Yongjian Zhong, Chang Xu, Bo Du, Lefei Zhang |
| 2018 | Integrative Analysis of Patient Health Records and Neuroimages via Memory-Based Graph Convolutional Network. Xi Zhang, Jingyuan Chou, Fei Wang |
| 2018 | Intelligent Salary Benchmarking for Talent Recruitment: A Holistic Matrix Factorization Approach. Qingxin Meng, Hengshu Zhu, Keli Xiao, Hui Xiong |
| 2018 | Interactive Unknowns Recommendation in E-Learning Systems. Shan-Yun Teng, Jundong Li, Lo Pang-Yun Ting, Kun-Ta Chuang, Huan Liu |
| 2018 | Interpretable Word Embeddings for Medical Domain. Kishlay Jha, Yaqing Wang, Guangxu Xun, Aidong Zhang |
| 2018 | LEEM: Lean Elastic EM for Gaussian Mixture Model via Bounds-Based Filtering. Shuai Yang, Xipeng Shen |
| 2018 | Landscape of Practical Blockchain Systems and their Applications. C. Mohan |
| 2018 | Layerwise Perturbation-Based Adversarial Training for Hard Drive Health Degree Prediction. Jianguo Zhang, Ji Wang, Lifang He, Zhao Li, Philip S. Yu |
| 2018 | Learning Community Structure with Variational Autoencoder. Jun Jin Choong, Xin Liu, Tsuyoshi Murata |
| 2018 | Learning Semantic Features for Software Defect Prediction by Code Comments Embedding. Xuan Huo, Yang Yang, Ming Li, De-Chuan Zhan |
| 2018 | Learning Sequential Behavior Representations for Fraud Detection. Jia Guo, Guannan Liu, Yuan Zuo, Junjie Wu |
| 2018 | Leveraging Hypergraph Random Walk Tag Expansion and User Social Relation for Microblog Recommendation. Huifang Ma, Di Zhang, Weizhong Zhao, Yanru Wang, Zhongzhi Shi |
| 2018 | Local Low-Rank Hawkes Processes for Temporal User-Item Interactions. Jin Shang, Mingxuan Sun |
| 2018 | Matrix Profile XI: SCRIMP++: Time Series Motif Discovery at Interactive Speeds. Yan Zhu, Chin-Chia Michael Yeh, Zachary Zimmerman, Kaveh Kamgar, Eamonn J. Keogh |
| 2018 | Matrix Profile XII: MPdist: A Novel Time Series Distance Measure to Allow Data Mining in More Challenging Scenarios. Shaghayegh Gharghabi, Shima Imani, Anthony J. Bagnall, Amirali Darvishzadeh, Eamonn J. Keogh |
| 2018 | Maximally Consistent Sampling and the Jaccard Index of Probability Distributions. Ryan Moulton, Yunjiang Jiang |
| 2018 | Maximizing the Diversity of Exposure in a Social Network. Çigdem Aslay, Antonis Matakos, Esther Galbrun, Aristides Gionis |
| 2018 | Meta-Graph Based HIN Spectral Embedding: Methods, Analyses, and Insights. Carl Yang, Yichen Feng, Pan Li, Yu Shi, Jiawei Han |
| 2018 | Mixed Bagging: A Novel Ensemble Learning Framework for Supervised Classification Based on Instance Hardness. Ahmedul Kabir, Carolina Ruiz, Sergio A. Alvarez |
| 2018 | MuVAN: A Multi-view Attention Network for Multivariate Temporal Data. Ye Yuan, Guangxu Xun, Fenglong Ma, Yaqing Wang, Nan Du, Kebin Jia, Lu Su, Aidong Zhang |
| 2018 | Multi-label Adversarial Perturbations. Qingquan Song, Haifeng Jin, Xiao Huang, Xia Hu |
| 2018 | Multi-label Answer Aggregation Based on Joint Matrix Factorization. Jinzheng Tu, Guoxian Yu, Carlotta Domeniconi, Jun Wang, Guoqiang Xiao, Maozu Guo |
| 2018 | Multi-label Learning with Label Enhancement. Ruifeng Shao, Ning Xu, Xin Geng |
| 2018 | Multi-level Hypothesis Testing for Populations of Heterogeneous Networks. Guilherme Gomes, Vinayak A. Rao, Jennifer Neville |
| 2018 | Multi-task Sparse Metric Learning for Monitoring Patient Similarity Progression. Qiuling Suo, Weida Zhong, Fenglong Ma, Ye Yuan, Mengdi Huai, Aidong Zhang |
| 2018 | Multi-view Feature Selection for Heterogeneous Face Recognition. Jie Gui, Ping Li |
| 2018 | Multiple Co-clusterings. Xing Wang, Guoxian Yu, Carlotta Domeniconi, Jun Wang, Zhiwen Yu, Zili Zhang |
| 2018 | NetGist: Learning to Generate Task-Based Network Summaries. Sorour E. Amiri, Bijaya Adhikari, Aditya Bharadwaj, B. Aditya Prakash |
| 2018 | Neural Sentence-Level Sentiment Classification with Heterogeneous Supervision. Zhigang Yuan, Fangzhao Wu, Junxin Liu, Chuhan Wu, Yongfeng Huang, Xing Xie |
| 2018 | Next Point-of-Interest Recommendation with Temporal and Multi-level Context Attention. Ranzhen Li, Yanyan Shen, Yanmin Zhu |
| 2018 | On Big Wisdom. Minghui Wu, Xindong Wu |
| 2018 | On Multi-query Local Community Detection. Yuchen Bian, Yaowei Yan, Wei Cheng, Wei Wang, Dongsheng Luo, Xiang Zhang |
| 2018 | Online CP Decomposition for Sparse Tensors. Shuo Zhou, Sarah M. Erfani, James Bailey |
| 2018 | Online Dictionary Learning with Confidence. Shan You, Chang Xu, Chao Xu |
| 2018 | Outlier Detection in Urban Traffic Flow Distributions. Youcef Djenouri, Arthur Zimek, Marco Chiarandini |
| 2018 | Partial Multi-view Clustering via Consistent GAN. Qianqian Wang, Zhengming Ding, Zhiqiang Tao, Quanxue Gao, Yun Fu |
| 2018 | Predicted Edit Distance Based Clustering of Gene Sequences. Sakti Pramanik, A. K. M. Tauhidul Islam, Shamik Sural |
| 2018 | Prediction of MicroRNA Subcellular Localization by Using a Sequence-to-Sequence Model. Yiqun Xiao, Jiaxun Cai, Yang Yang, Hai Zhao, Hong-Bin Shen |
| 2018 | Prerequisite-Driven Deep Knowledge Tracing. Penghe Chen, Yu Lu, Vincent W. Zheng, Yang Pian |
| 2018 | Privacy-Preserving Multi-task Learning. Kunpeng Liu, Nitish M. Uplavikar, Wei Jiang, Yanjie Fu |
| 2018 | Privacy-Preserving Temporal Record Linkage. Thilina Ranbaduge, Peter Christen |
| 2018 | ProSecCo: Progressive Sequence Mining with Convergence Guarantees. Sacha Servan-Schreiber, Matteo Riondato, Emanuel Zgraggen |
| 2018 | Probabilistic Streaming Tensor Decomposition. Yishuai Du, Yimin Zheng, Kuang-Chih Lee, Shandian Zhe |
| 2018 | Pseudo-Implicit Feedback for Alleviating Data Sparsity in Top-K Recommendation. Yun He, Haochen Chen, Ziwei Zhu, James Caverlee |
| 2018 | Query-Efficient Black-Box Attack by Active Learning. Pengcheng Li, Jinfeng Yi, Lijun Zhang |
| 2018 | Rational Neural Networks for Approximating Graph Convolution Operator on Jump Discontinuities. Zhiqian Chen, Feng Chen, Rongjie Lai, Xuchao Zhang, Chang-Tien Lu |
| 2018 | Realization of Random Forest for Real-Time Evaluation through Tree Framing. Sebastian Buschjäger, Kuan-Hsun Chen, Jian-Jia Chen, Katharina Morik |
| 2018 | Record2Vec: Unsupervised Representation Learning for Structured Records. Adelene Y. L. Sim, Andrew Borthwick |
| 2018 | Representing Networks with 3D Shapes. Shengmin Jin, Reza Zafarani |
| 2018 | ResumeNet: A Learning-Based Framework for Automatic Resume Quality Assessment. Yong Luo, Huaizheng Zhang, Yongjie Wang, Yonggang Wen, Xinwen Zhang |
| 2018 | Robust Cascade Reconstruction by Steiner Tree Sampling. Han Xiao, Çigdem Aslay, Aristides Gionis |
| 2018 | Robust Densest Subgraph Discovery. Atsushi Miyauchi, Akiko Takeda |
| 2018 | Robust Distributed Anomaly Detection Using Optimal Weighted One-Class Random Forests. Yu-Lin Tsou, Hong-Min Chu, Cong Li, Shao-Wen Yang |
| 2018 | Robust Regression via Online Feature Selection Under Adversarial Data Corruption. Xuchao Zhang, Shuo Lei, Liang Zhao, Arnold P. Boedihardjo, Chang-Tien Lu |
| 2018 | SINE: Scalable Incomplete Network Embedding. Daokun Zhang, Jie Yin, Xingquan Zhu, Chengqi Zhang |
| 2018 | SSDMV: Semi-Supervised Deep Social Spammer Detection by Multi-view Data Fusion. Chaozhuo Li, Senzhang Wang, Lifang He, Philip S. Yu, Yanbo Liang, Zhoujun Li |
| 2018 | SedanSpot: Detecting Anomalies in Edge Streams. Dhivya Eswaran, Christos Faloutsos |
| 2018 | Self-Attentive Sequential Recommendation. Wang-Cheng Kang, Julian J. McAuley |
| 2018 | Semi-Convex Hull Tree: Fast Nearest Neighbor Queries for Large Scale Data on GPUs. Yewang Chen, Lida Zhou, Nizar Bouguila, Bineng Zhong, Fei Wu, Zhen Lei, Ji-Xiang Du, Hailin Li |
| 2018 | Semi-Supervised Anomaly Detection with an Application to Water Analytics. Vincent Vercruyssen, Wannes Meert, Gust Verbruggen, Koen Maes, Ruben Baumer, Jesse Davis |
| 2018 | Semi-Supervised Community Detection Using Structure and Size. Arjun Bakshi, Srinivasan Parthasarathy, Kannan Srinivasan |
| 2018 | Sequential Pattern Sampling with Norm Constraints. Lamine Diop, Cheikh Talibouya Diop, Arnaud Giacometti, Dominique Li, Arnaud Soulet |
| 2018 | Signed Graph Convolutional Networks. Tyler Derr, Yao Ma, Jiliang Tang |
| 2018 | Similarity-Based Active Learning for Image Classification Under Class Imbalance. Chuanhai Zhang, Wallapak Tavanapong, Gavin Kijkul, Johnny Wong, Piet C. de Groen, Jung-Hwan Oh |
| 2018 | Social Recommendation with Missing Not at Random Data. Jiawei Chen, Can Wang, Martin Ester, Qihao Shi, Yan Feng, Chun Chen |
| 2018 | Sparse Non-linear CCA through Hilbert-Schmidt Independence Criterion. Viivi Uurtio, Sahely Bhadra, Juho Rousu |
| 2018 | Spatial Contextualization for Closed Itemset Mining. Altobelli B. Mantuan, Leandro Augusto Frata Fernandes |
| 2018 | Summarizing Graphs at Multiple Scales: New Trends. Danai Koutra, Jilles Vreeken, Francesco Bonchi |
| 2018 | Summarizing Network Processes with Network-Constrained Boolean Matrix Factorization. Furkan Kocayusufoglu, Minh X. Hoang, Ambuj K. Singh |
| 2018 | SuperPart: Supervised Graph Partitioning for Record Linkage. Russell Reas, Steve Ash, Rob Barton, Andrew Borthwick |
| 2018 | Superlinear Convergence of Randomized Block Lanczos Algorithm. Qiaochu Yuan, Ming Gu, Bo Li |
| 2018 | Synthetic Oversampling with the Majority Class: A New Perspective on Handling Extreme Imbalance. Shiven Sharma, Colin Bellinger, Bartosz Krawczyk, Osmar R. Zaïane, Nathalie Japkowicz |
| 2018 | T2S: Domain Adaptation Via Model-Independent Inverse Mapping and Model Reuse. Zhi-Yu Shen, Ming Li |
| 2018 | TADA: Trend Alignment with Dual-Attention Multi-task Recurrent Neural Networks for Sales Prediction. Tong Chen, Hongzhi Yin, Hongxu Chen, Lin Wu, Hao Wang, Xiaofang Zhou, Xue Li |
| 2018 | Tell me Something My Friends do not Know: Diversity Maximization in Social Networks. Antonis Matakos, Aristides Gionis |
| 2018 | Text Segmentation on Multilabel Documents: A Distant-Supervised Approach. Saurav Manchanda, George Karypis |
| 2018 | The HyperKron Graph Model for Higher-Order Features. Nicole Eikmeier, Arjun S. Ramani, David F. Gleich |
| 2018 | The Impact of Environmental Stressors on Human Trafficking. Sabina Tomkins, Golnoosh Farnadi, Brian Amanatullah, Lise Getoor, Steven Minton |
| 2018 | Time-Discounting Convolution for Event Sequences with Ambiguous Timestamps. Takayuki Katsuki, Takayuki Osogami, Akira Koseki, Masaki Ono, Michiharu Kudo, Masaki Makino, Atsushi Suzuki |
| 2018 | Towards Interpretation of Recommender Systems with Sorted Explanation Paths. Fan Yang, Ninghao Liu, Suhang Wang, Xia Hu |
| 2018 | Tracking and Forecasting Dynamics in Crowdfunding: A Basis-Synthesis Approach. Xiaoying Ren, Linli Xu, Tianxiang Zhao, Chen Zhu, Junliang Guo, Enhong Chen |
| 2018 | Transfer Hawkes Processes with Content Information. Tianbo Li, Pengfei Wei, Yiping Ke |
| 2018 | TreeGAN: Syntax-Aware Sequence Generation with Generative Adversarial Networks. Xinyue Liu, Xiangnan Kong, Lei Liu, Kuorong Chiang |
| 2018 | Uncluttered Domain Sub-Similarity Modeling for Transfer Regression. Pengfei Wei, Ramón Sagarna, Yiping Ke, Yew-Soon Ong |
| 2018 | Unsupervised User Identity Linkage via Factoid Embedding. Wei Xie, Xin Mu, Roy Ka-Wei Lee, Feida Zhu, Ee-Peng Lim |
| 2018 | Using Balancing Terms to Avoid Discrimination in Classification. Simon Aagaard Enni, Ira Assent |
| 2018 | Utilizing In-store Sensors for Revisit Prediction. Sundong Kim, Jae-Gil Lee |
| 2018 | Variational Bayesian Inference for Robust Streaming Tensor Factorization and Completion. Zheng Zhang, Cole Hawkins |
| 2018 | Volatility Drift Prediction for Transactional Data Streams. Yun Sing Koh, David Tse Jung Huang, Chris Pearce, Gillian Dobbie |
| 2018 | Which Outlier Detector Should I use? Kai Ming Ting, Sunil Aryal, Takashi Washio |
| 2018 | Zero-Shot Learning: An Energy Based Approach. Tianxiang Zhao, Guiquan Liu, Le Wu, Chao Ma, Enhong Chen |
| 2018 | dpMood: Exploiting Local and Periodic Typing Dynamics for Personalized Mood Prediction. He Huang, Bokai Cao, Philip S. Yu, Chang-Dong Wang, Alex D. Leow |
| 2018 | eOTD: An Efficient Online Tucker Decomposition for Higher Order Tensors. Houping Xiao, Fei Wang, Fenglong Ma, Jing Gao |