| 2018 | Asynchronous Dual Free Stochastic Dual Coordinate Ascent for Distributed Data Mining. | Zhouyuan Huo, Xue Jiang, Heng Huang |
| 2018 | A Harmonic Motif Modularity Approach for Multi-layer Network Community Detection. | Ling Huang, Chang-Dong Wang, Hong-Yang Chao |
| 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 | Highly Parallel Sequential Pattern Mining on a Heterogeneous Platform. | Yu-Heng Hsieh, Chun-Chieh Chen, Hong-Han Shuai, Ming-Syan Chen |
| 2018 | Python Source Code De-anonymization Using Nested Bigrams. | Pegah Hozhabrierdi, Dunai Fuentes Hitos, Chilukuri K. Mohan |
| 2018 | Event Detection in Twitter: A Keyword Volume Approach. | Ahmad Hany Hossny, Lewis Mitchell |
| 2018 | Confident Kernel Sparse Coding and Dictionary Learning. | Babak Hosseini, Barbara Hammer |
| 2018 | Automatic Mining of Large IoT Sensor Tensor. | Takato Honda, Yasuko Matsubara, Yasushi Sakurai |
| 2018 | Predictors Extraction in Time Series Using Authorities-Hubs Ranking. | Youssef Hmamouche, Lotfi Lakhal, Alain Casali |
| 2018 | Selection of Related Stocks using Financial Text Mining. | Masanori Hirano, Hiroki Sakaji, Shoko Kimura, Kiyoshi Izumi, Hiroyasu Matsushima, Shintaro Nagao, Atsuo Kato |
| 2018 | Characteristic Subspace Learning for Time Series Classification. | Yuanduo He, Jialiang Pei, Xu Chu, Yasha Wang, Zhu Jin, Guangju Peng |
| 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 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 | Estimating Latent Relative Labeling Importances for Multi-label Learning. | Shuo He, Lei Feng, Li Li |
| 2018 | Pseudo-Implicit Feedback for Alleviating Data Sparsity in Top-K Recommendation. | Yun He, Haochen Chen, Ziwei Zhu, James Caverlee |
| 2018 | Airdrops and Privacy: A Case Study in Cross-Blockchain Analysis. | Martin Harrigan, Lei Shi, Jacob Illum |
| 2018 | Differentially Private Prescriptive Analytics. | Haripriya Harikumar, Santu Rana, Sunil Gupta, Thin Nguyen, Ramachandra Kaimal, Svetha Venkatesh |
| 2018 | EDLT: Enabling Deep Learning for Generic Data Classification. | Huimei Han, Xingquan Zhu, Ying Li |
| 2018 | Smoothed Hinge Loss and ℓ1 Support Vector Machines. | Jeffrey Hajewski, Suely Oliveira, David E. Stewart |
| 2018 | Cross-Platform Modeling of Users' Behavior on Social Media. | Haiqian Gu, Jie Wang, Ziwen Wang, Bojin Zhuang, Wenhao Bian, Fei Su |
| 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 | Large Margin Graph Construction for Semi-Supervised Learning. | Lan-Zhe Guo, Shao-Bo Wang, Yufeng Li |
| 2018 | Learning Sequential Behavior Representations for Fraud Detection. | Jia Guo, Guannan Liu, Yuan Zuo, Junjie Wu |
| 2018 | Bitcoin Volatility Forecasting with a Glimpse into Buy and Sell Orders. | Tian Guo, Albert Bifet, Nino Antulov-Fantulin |
| 2018 | Ask George Washington on Negotiated Texts with Quill Q&A. | Omer Gunes, Nicholas Cole, Sebastian Bates, Jonas Tupp-Mugglestone |