| 2020 | A mixed integer linear programming approach for soft graph clustering. | Vicky H. Mak-Hau, John Yearwood |
| 2020 | Attentive Autoencoders for Multifaceted Preference Learning in One-class Collaborative Filtering. | Zheda Mai, Ga Wu, Kai Luo, Scott Sanner |
| 2020 | Using Deep Generative Models to Boost Forecasting: A Phishing Prediction Case Study. | Syed Hasan Amin Mahmood, Ahmed Abbasi |
| 2020 | Multi-Attention 3D Residual Neural Network for Origin-Destination Crowd Flow Prediction. | Jiaman Ma, Jeffrey Chan, Sutharshan Rajasegarar, Goce Ristanoski, Christopher Leckie |
| 2020 | Efficient Distance-based Global Sensitivity Analysis for Terrestrial Ecosystem Modeling. | Dan Lu, Daniel M. Ricciuto |
| 2020 | Deep Semantic Network Representation. | Xuexiong Luo, Jia Wu, Chuan Zhou, Xiankun Zhang, Yuan Wang |
| 2020 | AGSTN: Learning Attention-adjusted Graph Spatio-Temporal Networks for Short-term Urban Sensor Value Forecasting. | Yi-Ju Lu, Cheng-Te Li |
| 2020 | Dynamic Graph Collaborative Filtering. | Xiaohan Li, Mengqi Zhang, Shu Wu, Zheng Liu, Liang Wang, Philip S. Yu |
| 2020 | SynC: A Copula based Framework for Generating Synthetic Data from Aggregated Sources. | Zheng Li, Yue Zhao, Jialin Fu |
| 2020 | Predicting Parkinson's Disease with Multimodal Irregularly Collected Longitudinal Smartphone Data. | Weijian Li, Wei Zhu, Earl Ray Dorsey, Jiebo Luo |
| 2020 | COPOD: Copula-Based Outlier Detection. | Zheng Li, Yue Zhao, Nicola Botta, Cezar Ionescu, Xiyang Hu |
| 2020 | Ensemble Learning for Spectral Clustering. | Hongmin Li, Xiucai Ye, Akira Imakura, Tetsuya Sakurai |
| 2020 | Heterogeneous Transfer Learning on Power Systems: A Merged Multi-Modal Gaussian Graphical Model. | Haoran Li, Yang Weng, Hanghang Tong |
| 2020 | Community Detection with Local Metric Learning. | Peiyan Li, Honglian Wang, Jianyun Lu, Qinli Yang, Junming Shao |
| 2020 | Learning Space-Time-Frequency Representation with Two-Stream Attention Based 3D Network for Motor Imagery Classification. | Zhenqi Li, Jing Wang, Ziyu Jia, Youfang Lin |
| 2020 | Estimating Individual Treatment Effects with Time-Varying Confounders. | Ruoqi Liu, Changchang Yin, Ping Zhang |
| 2020 | AttentionFM: Incorporating Attention Mechanism and Factorization Machine for Credit Scoring. | Ying Liu, Wei Wang, Tianlin Zhang, Zhenyu Cui |
| 2020 | Technical Phrase Extraction for Patent Mining: A Multi-level Approach. | Ye Liu, Han Wu, Zhenya Huang, Hao Wang, Jianhui Ma, Qi Liu, Enhong Chen, Hanqing Tao, Ke Rui |
| 2020 | Attentive-Feature Transfer based on Mapping for Cross-domain Recommendation. | Zhen Liu, Jingyu Tian, Lingxi Zhao, Yanling Zhang |
| 2020 | LP-Explain: Local Pictorial Explanation for Outliers. | Haoyu Liu, Fenglong Ma, Yaqing Wang, Shibo He, Jiming Chen, Jing Gao |
| 2020 | Online Optimized Product Quantization. | Chong Liu, Defu Lian, Min Nie, Hu Xia |
| 2020 | A Recommender Algorithm: Gradient Recurrent Neural Network Applied to Yang-Baxter-Like Equation. | Ying Liufu, Long Jin, Mei Liu, Shuai Li |
| 2020 | Hybrid Context-Aware Word Sense Disambiguation in Topic Modeling based Document Representation. | Wenbo Li, Einoshin Suzuki |
| 2020 | Exploiting Inconsistency Problem in Multi-label Classification via Metric Learning. | Peiyan Li, Zhili Qin, Honglian Wang, Qinli Yang, Junming Shao |
| 2020 | Linking Personally Identifiable Information from the Dark Web to the Surface Web: A Deep Entity Resolution Approach. | Fang Yu Lin, Yizhi Liu, Mohammadreza Ebrahimi, Zara Ahmad-Post, James Lee Hu, Jingyu Xin, Sagar Samtani, Weifeng Li, Hsinchun Chen |