| 2020 | A Shared-Word Sensitive Sequence-to-Sequence Features Extractor for Sentences Matching. | Jinqing Li, Dakui Wang, Xiaojun Chen, Pencheng Liao, Shujuan Chen |
| 2020 | Uncertainty Quantification in Chest X-Ray Image Classification using Bayesian Deep Neural Networks. | Yumin Liu, Claire Zhao, Jonathan Rubin |
| 2020 | Abstract Interpretation Based Robustness Certification for Graph Convolutional Networks. | Yang Liu, Jiaying Peng, Liang Chen, Zibin Zheng |
| 2020 | A Unified and Unsupervised Framework for Bilingual Phrase Alignment on Specialized Comparable Corpora. | Jingshu Liu, Emmanuel Morin, Sebastin Pea Saldarriaga, Joseph Lark |
| 2020 | IAD: A Benchmark Dataset and a New Method for Illegal Advertising Classification. | Zebo Liu, Kehan Li, Xu Tan, Jiming Chen |
| 2020 | Bridging the Gap Between Training and Inference for Spatio-Temporal Forecasting. | Hongbin Liu, Ickjai Lee |
| 2020 | Dual Attention-Based Adversarial Autoencoder for Attributed Network Embedding. | Ming Liu, Jianxin Liao, Jingyu Wang, Qi Qi, Haifeng Sun |
| 2020 | Maximum Entropy Reinforced Single Object Visual Tracking. | Chenghuan Liu, Du Q. Huynh, Mark Reynolds |
| 2020 | TIMELY: Improving Labeling Consistency in Medical Imaging for Cell Type Classification. | Yushan Liu, Markus M. Geipel, Christoph Tietz, Florian Buettner |
| 2020 | Belief Map Enhancement Network for Accurate Human Pose Estimation. | Jie Liu, Yishun Dou, Wenjie Zhang, Jie Tang, Gangshan Wu |
| 2020 | ST-MFM: A Spatiotemporal Multi-Modal Fusion Model for Urban Anomalies Prediction. | Ruiqiang Liu, Shuai Zhao, Bo Cheng, Hao Yang, Haina Tang, Fangfang Yang |
| 2020 | DeepGS: Deep Representation Learning of Graphs and Sequences for Drug-Target Binding Affinity Prediction. | Xuan Lin, Kaiqi Zhao, Tong Xiao, Zhe Quan, Zhi-Jie Wang, Philip S. Yu |
| 2020 | Forecaster: A Graph Transformer for Forecasting Spatial and Time-Dependent Data. | Yang Li, Jos M. F. Moura |
| 2020 | Towards Meta-Reasoning for Ontologies: A Roadmap. | Yuan-Fang Li, Yong-Bin Kang |
| 2020 | Negative-Aware Training: Be Aware of Negative Samples. | Xin Li, Xiaodong Jia, Xiao-Yuan Jing |
| 2020 | Randomized Kernel Multi-View Discriminant Analysis. | Xiaoyun Li, Jie Gui, Ping Li |
| 2020 | Tree Search for the Sequential Ordering Problem. | Luc Libralesso, Abdel-Malik Bouhassoun, Hadrien Cambazard, Vincent Jost |
| 2020 | Extended Markov Games to Learn Multiple Tasks in Multi-Agent Reinforcement Learning. | Borja G. Len, Francesco Belardinelli |
| 2020 | Preprocessing in Incomplete MaxSAT Solving. | Marcus Leivo, Jeremias Berg, Matti Jrvisalo |
| 2020 | An agile framework for trustworthy AI. | Stefan Leijnen, Huib Aldewereld, Rudy van Belkom, Roland Bijvank, Roelant Ossewaarde |
| 2020 | Learning to Predict Charges for Legal Judgment via Self-Attentive Capsule Network. | Yuquan Le, Congqing He, Meng Chen, Youzheng Wu, Xiaodong He, Bowen Zhou |
| 2020 | Sequencing, Combining and Sampling Classifiers to Help Find Needles in Haystacks. | Jaebeen Lee, La A. Deleris |
| 2020 | Improving VAE Generations of Multimodal Data Through Data-Dependent Conditional Priors. | Frantzeska Lavda, Magda Gregorov, Alexandros Kalousis |
| 2020 | EarSaver: A Device to Detect Dangerous Audio Noises. | Lorenzo De Lauretis, Tiziano Lombardi, Stefania Costantini |
| 2020 | Robot Self/Other Distinction: Active Inference Meets Neural Networks Learning in a Mirror. | Pablo Lanillos, Jordi Pags, Gordon Cheng |