| 2017 | 2017 IEEE International Conference on Data Mining, ICDM 2017, New Orleans, LA, USA, November 18-21, 2017 Vijay Raghavan, Srinivas Aluru, George Karypis, Lucio Miele, Xindong Wu |
| 2017 | A Broad Learning Approach for Context-Aware Mobile Application Recommendation. Tingting Liang, Lifang He, Chun-Ta Lu, Liang Chen, Philip S. Yu, Jian Wu |
| 2017 | A Deep Transfer Learning Approach for Improved Post-Traumatic Stress Disorder Diagnosis. Debrup Banerjee, Kazi Aminul Islam, Gang Mei, Lemin Xiao, Guangfan Zhang, Roger Xu, Shuiwang Ji, Jiang Li |
| 2017 | A Generic Framework for Interesting Subspace Cluster Detection in Multi-attributed Networks. Feng Chen, Baojian Zhou, Adil Alim, Liang Zhao |
| 2017 | A Hyperplane-Based Algorithm for Semi-Supervised Dimension Reduction. Huang Fang, Minhao Cheng, Cho-Jui Hsieh |
| 2017 | A Practically Competitive and Provably Consistent Algorithm for Uplift Modeling. Yan Zhao, Xiao Fang, David Simchi-Levi |
| 2017 | A Probabilistic Approach for Learning with Label Proportions Applied to the US Presidential Election. Tao Sun, Daniel Sheldon, Brendan O'Connor |
| 2017 | A Probabilistic Geographical Aspect-Opinion Model for Geo-Tagged Microblogs. Aman Ahuja, Wei Wei, Wei Lu, Kathleen M. Carley, Chandan K. Reddy |
| 2017 | A Randomized Approach for Crowdsourcing in the Presence of Multiple Views. Yao Zhou, Jingrui He |
| 2017 | A Self-Adaptive Sliding Window Based Topic Model for Non-uniform Texts. Jin He, Lei Li, Xindong Wu |
| 2017 | A Self-Paced Category-Aware Approach for Unsupervised Adaptation Networks. Wenzhen Huang, Peipei Yang, Kaiqi Huang |
| 2017 | A Short-Term Rainfall Prediction Model Using Multi-task Convolutional Neural Networks. Minghui Qiu, Peilin Zhao, Ke Zhang, Jun Huang, Xing Shi, Xiaoguang Wang, Wei Chu |
| 2017 | AWDA: An Adaptive Wishart Discriminant Analysis. Haoyi Xiong, Wei Cheng, Wenqing Hu, Jiang Bian, Zhishan Guo |
| 2017 | Accurate Detection of Automatically Spun Content via Stylometric Analysis. Usman Shahid, Shehroze Farooqi, Raza Ahmad, Zubair Shafiq, Padmini Srinivasan, Fareed Zaffar |
| 2017 | Adaptive Laplace Mechanism: Differential Privacy Preservation in Deep Learning. NhatHai Phan, Xintao Wu, Han Hu, Dejing Dou |
| 2017 | An Analysis of Boosted Linear Classifiers on Noisy Data with Applications to Multiple-Instance Learning. Rui Liu, Soumya Ray |
| 2017 | An Automatic Approach for Transit Advertising in Public Transportation Systems. Chen Zhang, Hao Wang, Hui Xiong |
| 2017 | An Influence-Receptivity Model for Topic Based Information Cascades. Ming Yu, Varun Gupta, Mladen Kolar |
| 2017 | AnySCAN: An Efficient Anytime Framework with Active Learning for Large-Scale Network Clustering. Weizhong Zhao, Gang Chen, Xiaowei Xu |
| 2017 | Aspect Sentiment Model for Micro Reviews. Reinald Kim Amplayo, Seung-won Hwang |
| 2017 | Audio-Visual Sentiment Analysis for Learning Emotional Arcs in Movies. Eric Chu, Deb Roy |
| 2017 | AutoLearn - Automated Feature Generation and Selection. Ambika Kaul, Saket Maheshwary, Vikram Pudi |
| 2017 | Automated Medical Diagnosis by Ranking Clusters Across the Symptom-Disease Network. Jingchao Ni, Hongliang Fei, Wei Fan, Xiang Zhang |
| 2017 | Automatic Classification of Music Genre Using Masked Conditional Neural Networks. Fady Medhat, David Chesmore, John Robinson |
| 2017 | Autoregressive Tensor Factorization for Spatio-Temporal Predictions. Koh Takeuchi, Hisashi Kashima, Naonori Ueda |
| 2017 | BEEP: A Bayesian Perspective Early Stage Event Prediction Model for Online Social Networks. Xiao Ma, Xiaofeng Gao, Guihai Chen |
| 2017 | BL-MNE: Emerging Heterogeneous Social Network Embedding Through Broad Learning with Aligned Autoencoder. Jiawei Zhang, Congying Xia, Chenwei Zhang, Limeng Cui, Yanjie Fu, Philip S. Yu |
| 2017 | Balanced Distribution Adaptation for Transfer Learning. Jindong Wang, Yiqiang Chen, Shuji Hao, Wenjie Feng, Zhiqi Shen |
| 2017 | Bayesian Optimization in Weakly Specified Search Space. Vu Nguyen, Sunil Gupta, Santu Rana, Cheng Li, Svetha Venkatesh |
| 2017 | Behind Distribution Shift: Mining Driving Forces of Changes and Causal Arrows. Biwei Huang, Kun Zhang, Jiji Zhang, Ruben Sanchez-Romero, Clark Glymour, Bernhard Schölkopf |
| 2017 | Benchmark Generator for Dynamic Overlapping Communities in Networks. Neha Sengupta, Michael Hamann, Dorothea Wagner |
| 2017 | BiCycle: Item Recommendation with Life Cycles. Xinyue Liu, Yuanfang Song, Charu C. Aggarwal, Yao Zhang, Xiangnan Kong |
| 2017 | Boosting Deep Learning Risk Prediction with Generative Adversarial Networks for Electronic Health Records. Zhengping Che, Yu Cheng, Shuangfei Zhai, Zhaonan Sun, Yan Liu |
| 2017 | CRAD: Clustering with Robust Autocuts and Depth. Xin Huang, Yulia R. Gel |
| 2017 | Clustering by Shift. Morteza Haghir Chehreghani |
| 2017 | Collaborative Filtering with Social Local Models. Huan Zhao, Quanming Yao, James T. Kwok, Dik Lun Lee |
| 2017 | Collaborative Inference of Coexisting Information Diffusions. Yanchao Sun, Cong Qian, Ning Yang, Philip S. Yu |
| 2017 | Collective Entity Resolution in Familial Networks. Pigi Kouki, Jay Pujara, Christopher Marcum, Laura M. Koehly, Lise Getoor |
| 2017 | Crowdsourced Correlation Clustering with Relative Distance Comparisons. Antti Ukkonen |
| 2017 | DPiSAX: Massively Distributed Partitioned iSAX. Djamel Edine Yagoubi, Reza Akbarinia, Florent Masseglia, Themis Palpanas |
| 2017 | Data Prefetching for Large Tiered Storage Systems. Giovanni Cherubini, Yusik Kim, Mark A. Lantz, Vinodh Venkatesan |
| 2017 | Data-Driven Immunization. Yao Zhang, Arvind Ramanathan, Anil Vullikanti, Laura L. Pullum, B. Aditya Prakash |
| 2017 | Data-Driven Utilization-Aware Trip Advisor for Bike-Sharing Systems. Ji Hu, Zidong Yang, Yuanchao Shu, Peng Cheng, Jiming Chen |
| 2017 | Deep Similarity-Based Batch Mode Active Learning with Exploration-Exploitation. Changchang Yin, Buyue Qian, Shilei Cao, Xiaoyu Li, Jishang Wei, Qinghua Zheng, Ian Davidson |
| 2017 | Differentially Private Mixture of Generative Neural Networks. Gergely Ács, Luca Melis, Claude Castelluccia, Emiliano De Cristofaro |
| 2017 | Discovering Truths from Distributed Data. Yaqing Wang, Fenglong Ma, Lu Su, Jing Gao |
| 2017 | Distributing Frank-Wolfe via Map-Reduce. Armin Moharrer, Stratis Ioannidis |
| 2017 | Domain Adaptation for Online ECG Monitoring. Diego Carrera, Beatrice Rossi, Pasqualina Fragneto, Giacomo Boracchi |
| 2017 | Domain Specific Feature Transfer for Hybrid Domain Adaptation. Pengfei Wei, Yiping Ke, Chi-Keong Goh |
| 2017 | Dynamic Propagation Rates: New Dimension to Viral Marketing in Online Social Networks. Tianyi Pan, Alan Kuhnle, Xiang Li, My T. Thai |
| 2017 | EC3: Combining Clustering and Classification for Ensemble Learning. Tanmoy Chakraborty |
| 2017 | Edge-Based Wedge Sampling to Estimate Triangle Counts in Very Large Graphs. Duru Türkoglu, Ata Turk |
| 2017 | Effective Large-Scale Online Influence Maximization. Paul Lagrée, Olivier Cappé, Bogdan Cautis, Silviu Maniu |
| 2017 | Efficient Computation of Multiple Density-Based Clustering Hierarchies. Antônio Cavalcante Araújo Neto, Jörg Sander, Ricardo J. G. B. Campello, Mario A. Nascimento |
| 2017 | Efficient Computation of Pairwise Minimax Distance Measures. Morteza Haghir Chehreghani |
| 2017 | Efficient Mining of Subsample-Stable Graph Patterns. Aleksey Buzmakov, Sergei O. Kuznetsov, Amedeo Napoli |
| 2017 | Efficient and Invariant Convolutional Neural Networks for Dense Prediction. Hongyang Gao, Shuiwang Ji |
| 2017 | Efficient discovery of time series motifs with large length range in million scale time series. Yifeng Gao, Jessica Lin |
| 2017 | Efficiently Discovering Locally Exceptional Yet Globally Representative Subgroups. Janis Kalofolias, Mario Boley, Jilles Vreeken |
| 2017 | Epidemic Forecasting Framework Combining Agent-Based Models and Smart Beam Particle Filtering. Farzaneh Tabataba, Bryan L. Lewis, Milad Hosseinipour, Foroogh S. Tabataba, Srinivasan Venkatramanan, Jiangzhuo Chen, Dave Higdon, Madhav V. Marathe |
| 2017 | Exploiting Hierarchical Structures for POI Recommendation. Pengpeng Zhao, Xiefeng Xu, Yanchi Liu, Ziting Zhou, Kai Zheng, Victor S. Sheng, Hui Xiong |
| 2017 | Exploratory Analysis of Graph Data by Leveraging Domain Knowledge. Di Jin, Danai Koutra |
| 2017 | Exploring Common and Distinct Structural Connectivity Patterns Between Schizophrenia and Major Depression via Cluster-Driven Nonnegative Matrix Factorization. Junming Shao, Zhongjing Yu, Peiyan Li, Wei Han, Christian Sorg, Qinli Yang |
| 2017 | Fast Compressive Spectral Clustering. Ting Li, Yiming Zhang, Dongsheng Li, Xinwang Liu, Yuxing Peng |
| 2017 | Finding Streams in Knowledge Graphs to Support Fact Checking. Prashant Shiralkar, Alessandro Flammini, Filippo Menczer, Giovanni Luca Ciampaglia |
| 2017 | GANG: Detecting Fraudulent Users in Online Social Networks via Guilt-by-Association on Directed Graphs. Binghui Wang, Neil Zhenqiang Gong, Hao Fu |
| 2017 | GaDei: On Scale-Up Training as a Service for Deep Learning. Wei Zhang, Minwei Feng, Yunhui Zheng, Yufei Ren, Yandong Wang, Ji Liu, Peng Liu, Bing Xiang, Li Zhang, Bowen Zhou, Fei Wang |
| 2017 | Generating Medical Hypotheses Based on Evolutionary Medical Concepts. Guangxu Xun, Kishlay Jha, Vishrawas Gopalakrishnan, Yaliang Li, Aidong Zhang |
| 2017 | Generating Synthetic Time Series to Augment Sparse Datasets. Germain Forestier, François Petitjean, Hoang Anh Dau, Geoffrey I. Webb, Eamonn J. Keogh |
| 2017 | Glocalized Weisfeiler-Lehman Graph Kernels: Global-Local Feature Maps of Graphs. Christopher Morris, Kristian Kersting, Petra Mutzel |
| 2017 | GoGP: Fast Online Regression with Gaussian Processes. Trung Le, Khanh Nguyen, Vu Nguyen, Tu Dinh Nguyen, Dinh Q. Phung |
| 2017 | HiMuV: Hierarchical Framework for Modeling Multi-modality Multi-resolution Data. Jianbo Li, Jingrui He, Yada Zhu |
| 2017 | Hierarchical Multinomial-Dirichlet Model for the Estimation of Conditional Probability Tables. Laura Azzimonti, Giorgio Corani, Marco Zaffalon |
| 2017 | High-Dimensional Dependency Structure Learning for Physical Processes. Jamal Golmohammadi, Imme Ebert-Uphoff, Sijie He, Yi Deng, Arindam Banerjee |
| 2017 | HistoSketch: Fast Similarity-Preserving Sketching of Streaming Histograms with Concept Drift. Dingqi Yang, Bin Li, Laura Rettig, Philippe Cudré-Mauroux |
| 2017 | HitFraud: A Broad Learning Approach for Collective Fraud Detection in Heterogeneous Information Networks. Bokai Cao, Mia Mao, Siim Viidu, Philip S. Yu |
| 2017 | Identifying Media Bias by Analyzing Reported Speech. Konstantina Lazaridou, Ralf Krestel, Felix Naumann |
| 2017 | Importance Sketching of Influence Dynamics in Billion-Scale Networks. Hung T. Nguyen, Tri P. Nguyen, NhatHai Phan, Thang N. Dinh |
| 2017 | Improving I/O Complexity of Triangle Enumeration. Yi Cui, Di Xiao, Daren B. H. Cline, Dmitri Loguinov |
| 2017 | Incorporating Spatio-Temporal Smoothness for Air Quality Inference. Xiangyu Zhao, Tong Xu, Yanjie Fu, Enhong Chen, Hao Guo |
| 2017 | Informing the Use of Hyperparameter Optimization Through Metalearning. Samantha Sanders, Christophe G. Giraud-Carrier |
| 2017 | IterativE Grammar-Based Framework for Discovering Variable-Length Time Series Motifs. Yifeng Gao, Jessica Lin, Huzefa Rangwala |
| 2017 | Kernel Conditional Clustering. Xiao He, Thomas Gumbsch, Damian Roqueiro, Karsten M. Borgwardt |
| 2017 | Kernel-Based Feature Extraction for Collaborative Filtering. Saket Sathe, Charu C. Aggarwal, Xiangnan Kong, Xinyue Liu |
| 2017 | Knowledge Guided Short-Text Classification for Healthcare Applications. Shilei Cao, Buyue Qian, Changchang Yin, Xiaoyu Li, Jishang Wei, Qinghua Zheng, Ian Davidson |
| 2017 | LCD: A Fast Contrastive Divergence Based Algorithm for Restricted Boltzmann Machine. Lin Ning, Randall Pittman, Xipeng Shen |
| 2017 | Large Scale Kernel Methods for Online AUC Maximization. Yi Ding, Chenghao Liu, Peilin Zhao, Steven C. H. Hoi |
| 2017 | Learning Doubly Stochastic Affinity Matrix via Davis-Kahan Theorem. Jiwoong Park, Taejeong Kim |
| 2017 | Learning Multiple Similarities of Users and Items in Recommender Systems. Huiyuan Chen, Jing Li |
| 2017 | Learning to Fuse Music Genres with Generative Adversarial Dual Learning. Zhiqian Chen, Chih-Wei Wu, Yen-Cheng Lu, Alexander Lerch, Chang-Tien Lu |
| 2017 | Learning with Inadequate and Incorrect Supervision. Chen Gong, Hengmin Zhang, Jian Yang, Dacheng Tao |
| 2017 | Linear Time Complexity Time Series Classification with Bag-of-Pattern-Features. Xiaosheng Li, Jessica Lin |
| 2017 | Local Bayes Risk Minimization Based Stopping Strategy for Hierarchical Classification. Yu Wang, Qinghua Hu, Yucan Zhou, Hong Zhao, Yuhua Qian, Jiye Liang |
| 2017 | Local Community Detection in Dynamic Networks. Daniel J. DiTursi, Gaurav Ghosh, Petko Bogdanov |
| 2017 | MDL for Causal Inference on Discrete Data. Kailash Budhathoki, Jilles Vreeken |
| 2017 | Many Heads are Better than One: Local Community Detection by the Multi-walker Chain. Yuchen Bian, Jingchao Ni, Wei Cheng, Xiang Zhang |
| 2017 | Market Basket Prediction Using User-Centric Temporal Annotated Recurring Sequences. Riccardo Guidotti, Giulio Rossetti, Luca Pappalardo, Fosca Giannotti, Dino Pedreschi |
| 2017 | Matrix Profile VI: Meaningful Multidimensional Motif Discovery. Chin-Chia Michael Yeh, Nickolas Kavantzas, Eamonn J. Keogh |
| 2017 | Matrix Profile VII: Time Series Chains: A New Primitive for Time Series Data Mining (Best Student Paper Award). Yan Zhu, Makoto Imamura, Daniel Nikovski, Eamonn J. Keogh |
| 2017 | Matrix Profile VIII: Domain Agnostic Online Semantic Segmentation at Superhuman Performance Levels. Shaghayegh Gharghabi, Yifei Ding, Chin-Chia Michael Yeh, Kaveh Kamgar, Liudmila Ulanova, Eamonn J. Keogh |
| 2017 | MetaLDA: A Topic Model that Efficiently Incorporates Meta Information. He Zhao, Lan Du, Wray L. Buntine, Gang Liu |
| 2017 | Mining Customer Valuations to Optimize Product Bundling Strategy. Li Ye, Hong Xie, Weijie Wu, John C. S. Lui |
| 2017 | Mining the Demographics of Political Sentiment from Twitter Using Learning from Label Proportions. Ehsan Mohammady Ardehaly, Aron Culotta |
| 2017 | Multi-level Feedback Web Links Selection Problem: Learning and Optimization. Kechao Cai, Kun Chen, Longbo Huang, John C. S. Lui |
| 2017 | Multi-level Multi-task Learning for Modeling Cross-Scale Interactions in Nested Geospatial Data. Shuai Yuan, Jiayu Zhou, Pang-Ning Tan, C. Emi Fergus, Tyler Wagner, Patricia A. Soranno |
| 2017 | Multi-level Multiple Attentions for Contextual Multimodal Sentiment Analysis. Soujanya Poria, Erik Cambria, Devamanyu Hazarika, Navonil Majumder, Amir Zadeh, Louis-Philippe Morency |
| 2017 | Multi-party Sparse Discriminant Learning. Jiang Bian, Haoyi Xiong, Wei Cheng, Wenqing Hu, Zhishan Guo, Yanjie Fu |
| 2017 | Multi-task Multi-modal Models for Collective Anomaly Detection. Tsuyoshi Idé, Dzung T. Phan, Jayant Kalagnanam |
| 2017 | Multi-task Survival Analysis. Lu Wang, Yan Li, Jiayu Zhou, Dongxiao Zhu, Jieping Ye |
| 2017 | Multi-view Graph Embedding with Hub Detection for Brain Network Analysis. Guixiang Ma, Chun-Ta Lu, Lifang He, Philip S. Yu, Ann B. Ragin |
| 2017 | Multimodal Content Analysis for Effective Advertisements on YouTube. Nikhita Vedula, Wei Sun, Hyunhwan Lee, Harsh Gupta, Mitsunori Ogihara, Joseph Johnson, Gang Ren, Srinivasan Parthasarathy |
| 2017 | Network Clocks: Detecting the Temporal Scale of Information Diffusion. Daniel J. DiTursi, Gregorios A. Katsios, Petko Bogdanov |
| 2017 | New Class Adaptation Via Instance Generation in One-Pass Class Incremental Learning. Yue Zhu, Kai Ming Ting, Zhi-Hua Zhou |
| 2017 | Novel Exact and Approximate Algorithms for the Closest Pair Problem. Sanguthevar Rajasekaran, Subrata Saha, Xingyu Cai |
| 2017 | Online Learning of Acyclic Conditional Preference Networks from Noisy Data. Fabien Labernia, Bruno Zanuttini, Brice Mayag, Florian Yger, Jamal Atif |
| 2017 | Online Nearest Neighbor Search in Binary Space. Sepehr Eghbali, Mohammad Hassan Zokaei Ashtiani, Ladan Tahvildari |
| 2017 | Online and Distributed Robust Regressions Under Adversarial Data Corruption. Xuchao Zhang, Liang Zhao, Arnold P. Boedihardjo, Chang-Tien Lu |
| 2017 | Overlapping Community Detection via Constrained PARAFAC: A Divide and Conquer Approach. Fatemeh Sheikholeslami, Georgios B. Giannakis |
| 2017 | Ranking Causal Anomalies by Modeling Local Propagations on Networked Systems. Jingchao Ni, Wei Cheng, Kai Zhang, Dongjin Song, Tan Yan, Haifeng Chen, Xiang Zhang |
| 2017 | Recover Fine-Grained Spatial Data from Coarse Aggregation. Bang Liu, Borislav Mavrin, Linglong Kong, Di Niu |
| 2017 | Recurrent Encoder-Decoder Networks for Time-Varying Dense Prediction. Tao Zeng, Bian Wu, Jiayu Zhou, Ian Davidson, Shuiwang Ji |
| 2017 | Reductions for Frequency-Based Data Mining Problems. Stefan Neumann, Pauli Miettinen |
| 2017 | Relational Mixture of Experts: Explainable Demographics Prediction with Behavioral Data. Masafumi Oyamada, Shinji Nakadai |
| 2017 | Reputation-Based Ranking Systems and Their Resistance to Bribery. João Saúde, Guilherme Ramos, Carlos Caleiro, Soummya Kar |
| 2017 | Revisiting Spectral Graph Clustering with Generative Community Models. Pin-Yu Chen, Lingfei Wu |
| 2017 | Risk Control of Best Arm Identification in Multi-armed Bandits via Successive Rejects. Xiaotian Yu, Irwin King, Michael R. Lyu |
| 2017 | Robust Estimation of Gaussian Copula Causal Structure from Mixed Data with Missing Values. Ruifei Cui, Perry Groot, Tom Heskes |
| 2017 | SCED: A General Framework for Sparse Tensor Decomposition with Constraints and Elementwise Dynamic Learning. Shuo Zhou, Sarah M. Erfani, James Bailey |
| 2017 | SLANT+: A Nonlinear Model for Opinion Dynamics in Social Networks. Bhushan Kulkarni, Sumit Agarwal, Abir De, Sourangshu Bhattacharya, Niloy Ganguly |
| 2017 | SPTF: A Scalable Probabilistic Tensor Factorization Model for Semantic-Aware Behavior Prediction. Hongzhi Yin, Hongxu Chen, Xiaoshuai Sun, Hao Wang, Yang Wang, Quoc Viet Hung Nguyen |
| 2017 | STExNMF: Spatio-Temporally Exclusive Topic Discovery for Anomalous Event Detection. Dear Sungbok Shin, Minsuk Choi, Jinho Choi, Scott Langevin, Christopher Bethune, Philippe Horne, Nathan Kronenfeld, Ramakrishnan Kannan, Barry L. Drake, Haesun Park, Jaegul Choo |
| 2017 | Scalable Algorithms for Locally Low-Rank Matrix Modeling. Qilong Gu, Joshua D. Trzasko, Arindam Banerjee |
| 2017 | Scalable Constrained Spectral Clustering via the Randomized Projected Power Method. Weifeng Zhi, Buyue Qian, Ian Davidson |
| 2017 | Scalable Hashing-Based Network Discovery. Tara Safavi, Chandra Sekhar Sripada, Danai Koutra |
| 2017 | Scalable and Adaptive Algorithms for the Triangle Interdiction Problem on Billion-Scale Networks. Alan Kuhnle, Victoria G. Crawford, My T. Thai |
| 2017 | Situation Aware Multi-task Learning for Traffic Prediction. Dingxiong Deng, Cyrus Shahabi, Ugur Demiryurek, Linhong Zhu |
| 2017 | Spatio-Temporal Neural Networks for Space-Time Series Forecasting and Relations Discovery. Ali Ziat, Edouard Delasalles, Ludovic Denoyer, Patrick Gallinari |
| 2017 | Spectral Lens: Explainable Diagnostics, Tools and Discoveries in Directed, Weighted Graphs. Sebastian Goebl, Srijan Kumar, Christos Faloutsos |
| 2017 | Split Miner: Discovering Accurate and Simple Business Process Models from Event Logs. Adriano Augusto, Raffaele Conforti, Marlon Dumas, Marcello La Rosa |
| 2017 | Statistical Link Label Modeling for Sign Prediction: Smoothing Sparsity by Joining Local and Global Information. Amin Javari, Hongxiang Qiu, Elham Barzegaran, Mahdi Jalili, Kevin Chen-Chuan Chang |
| 2017 | Sub-Gibbs Sampling: A New Strategy for Inferring LDA. Chuan Hu, Huiping Cao, Qixu Gong |
| 2017 | Supervised Belief Propagation: Scalable Supervised Inference on Attributed Networks. Jaemin Yoo, Saehan Jo, U Kang |
| 2017 | Synchronization-Inspired Co-Clustering and Its Application to Gene Expression Data. Junming Shao, Chongming Gao, Wei Zeng, Jingkuan Song, Qinli Yang |
| 2017 | Telling Cause from Effect Using MDL-Based Local and Global Regression. Alexander Marx, Jilles Vreeken |
| 2017 | Tensor Based Relations Ranking for Multi-relational Collective Classification. Chao Han, Qingyao Wu, Michael K. Ng, Jiezhang Cao, Mingkui Tan, Jian Chen |
| 2017 | TensorCast: Forecasting with Context Using Coupled Tensors (Best Paper Award). Miguel Ramos de Araujo, Pedro Manuel Pinto Ribeiro, Christos Faloutsos |
| 2017 | The Many Faces of Link Fraud. Neil Shah, Hemank Lamba, Alex Beutel, Christos Faloutsos |
| 2017 | Theoretically and Empirically High Quality Estimation of Closeness Centrality. Shogo Murai |
| 2017 | Time-Aware Latent Hierarchical Model for Predicting House Prices. Fei Tan, Chaoran Cheng, Zhi Wei |
| 2017 | Topological Recurrent Neural Network for Diffusion Prediction. Jia Wang, Vincent W. Zheng, Zemin Liu, Kevin Chen-Chuan Chang |
| 2017 | Tracking Hit-and-Run Vehicle with Sparse Video Surveillance Cameras and Mobile Taxicabs. Yang Wang, Wuji Chen, Wei Zheng, He Huang, Wen Zhang, Hengchang Liu |
| 2017 | Unsupervised Feature Learning with Discriminative Encoder. Gaurav Pandey, Ambedkar Dukkipati |
| 2017 | Visually-Aware Fashion Recommendation and Design with Generative Image Models. Wang-Cheng Kang, Chen Fang, Zhaowen Wang, Julian J. McAuley |
| 2017 | WRS: Waiting Room Sampling for Accurate Triangle Counting in Real Graph Streams. Kijung Shin |
| 2017 | Warehouse Site Selection for Online Retailers in Inter-Connected Warehouse Networks. Can Chen, Junming Liu, Qiao Li, Yijun Wang, Hui Xiong, Shanshan Wu |
| 2017 | Wave2Vec: Learning Deep Representations for Biosignals. Ye Yuan, Guangxu Xun, Qiuling Suo, Kebin Jia, Aidong Zhang |
| 2017 | iNEAT: Incomplete Network Alignment. Si Zhang, Hanghang Tong, Jie Tang, Jiejun Xu, Wei Fan |