| 2018 | Compact Deep Neural Networks with ℓ1, 1 and ℓ1, 2 Regularization. | Rongrong Ma, Lingfeng Niu |
| 2018 | Certificate Transparency Using Blockchain. | D. S. V. Madala, Mahabir Prasad Jhanwar, Anupam Chattopadhyay |
| 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 | Design Pattern as a Service for Blockchain Applications. | Qinghua Lu, Xiwei Xu, Yue Liu, Weishan Zhang |
| 2018 | Clubmark: A Parallel Isolation Framework for Benchmarking and Profiling Clustering Algorithms on NUMA Architectures. | Artem Lutov, Mourad Khayati, Philippe Cudr-Mauroux |
| 2018 | ResumeNet: A Learning-Based Framework for Automatic Resume Quality Assessment. | Yong Luo, Huaizheng Zhang, Yongjie Wang, Yonggang Wen, Xinwen Zhang |
| 2018 | D-CARS: A Declarative Context-Aware Recommender System. | Rosni Lumbantoruan, Xiangmin Zhou, Yongli Ren, Zhifeng Bao |
| 2018 | Detecting Outliers in Streaming Time Series Data from ARM Distributed Sensors. | Yuping Lu, Jitendra Kumar, Nathan Collier, Bhargavi Krishna, Michael A. Langston |
| 2018 | Mining Connections Between Domains through Latent Space Mapping. | Yingjing Lu |
| 2018 | On Enabling Machine Learning Tasks atop Public Blockchains: A Crowdsourcing Approach. | Yuan Lu, Qiang Tang, Guiling Wang |
| 2018 | Enhancing Very Fast Decision Trees with Local Split-Time Predictions. | Viktor Losing, Heiko Wersing, Barbara Hammer |
| 2018 | Concept Mining via Embedding. | Keqian Li, Hanwen Zha, Yu Su, Xifeng Yan |
| 2018 | Query-Efficient Black-Box Attack by Active Learning. | Pengcheng Li, Jinfeng Yi, Lijun Zhang |
| 2018 | Transfer Hawkes Processes with Content Information. | Tianbo Li, Pengfei Wei, Yiping Ke |
| 2018 | A Study on Customer Churn of Commercial Banks Based on Learning from Label Proportions. | Yue Li, Bo Wang |
| 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 | 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 | Improving the Interpretability of Deep Neural Networks with Knowledge Distillation. | Xuan Liu, Xiaoguang Wang, Stan Matwin |
| 2018 | Privacy-Preserving Multi-task Learning. | Kunpeng Liu, Nitish M. Uplavikar, Wei Jiang, Yanjie Fu |
| 2018 | Distribution Preserving Multi-task Regression for Spatio-Temporal Data. | Xi Liu, Pang-Ning Tan, Zubin Abraham, Lifeng Luo, Pouyan Hatami |
| 2018 | Deep Discriminative Features Learning and Sampling for Imbalanced Data Problem. | Yi-Hsun Liu, Chien-Liang Liu, Shin-Mu Tseng |
| 2018 | TreeGAN: Syntax-Aware Sequence Generation with Generative Adversarial Networks. | Xinyue Liu, Xiangnan Kong, Lei Liu, Kuorong Chiang |
| 2018 | Next Point-of-Interest Recommendation with Temporal and Multi-level Context Attention. | Ranzhen Li, Yanyan Shen, Yanmin Zhu |
| 2018 | A Survey on Semantic Segmentation. | Biao Li, Yong Shi, Zhiquan Qi, Zhensong Chen |
| 2018 | Human-Assisted Computation for Auto-Grading. | Lin Ling, Chee-Wei Tan |