| 2020 | Auxiliary-task Based Deep Reinforcement Learning for Participant Selection Problem in Mobile Crowdsourcing. | Wei Shen, Xiaonan He, Chuheng Zhang, Qiang Ni, Wanchun Dou, Yan Wang |
| 2020 | Deep Adaptive Feature Aggregation in Multi-task Convolutional Neural Networks. | Zhen Shen, Chaoran Cui, Jin Huang, Jian Zong, Meng Chen, Yilong Yin |
| 2020 | Index Obfuscation for Oblivious Document Retrieval in a Trusted Execution Environment. | Jinjin Shao, Shiyu Ji, Alvin Oliver Glova, Yifan Qiao, Tao Yang, Tim Sherwood |
| 2020 | A Toolkit for Managing Multiple Crowdsourced Top-K Queries. | Caihua Shan, Leong Hou U, Nikos Mamoulis, Reynold Cheng |
| 2020 | Introduction to Computer Vision and Realtime Deep Learning-based Object Detection. | James G. Shanahan |
| 2020 | GeoFlink: A Distributed and Scalable Framework for the Real-time Processing of Spatial Streams. | Salman Ahmed Shaikh, Komal Mariam, Hiroyuki Kitagawa, Kyoung-Sook Kim |
| 2020 | Truth be Told: Fake News Detection Using User Reactions on Reddit. | Vinay Setty, Erlend Rekve |
| 2020 | Detection of Novel Social Bots by Ensembles of Specialized Classifiers. | Mohsen Sayyadiharikandeh, Onur Varol, Kai-Cheng Yang, Alessandro Flammini, Filippo Menczer |
| 2020 | Exploring Graph-Based Neural Networks for Automatic Brain Tumor Segmentation. | Camillo Saueressig, Adam Berkley, Elliot Kang, Reshma Munbodh, Ritambhara Singh |
| 2020 | Continuous Improvement of Medical Diagnostic Systems with Large Scale Patient Vignette Simulation. | Suhrid Satyal, Nick Fletcher, Shameek Ghosh |
| 2020 | A Framework for Analyzing the Impact of Missing Data in Predictive Models. | Fabiola Santore, Eduardo C. de Almeida, Wagner Hugo Bonat, Eduardo H. M. Pena, Luiz Eduardo Soares de Oliveira |
| 2020 | Guided-LIME: Structured Sampling based Hybrid Approach towards Explaining Blackbox Machine Learning Models. | Amit Sangroya, Mouli Rastogi, C. Anantaram, Lovekesh Vig |
| 2020 | Automatic Contextual Storytelling in a Natural Language Corpus. | Ishrat Rahman Sami |
| 2020 | Falcon 2.0: An Entity and Relation Linking Tool over Wikidata. | Ahmad Sakor, Kuldeep Singh, Anery Patel, Maria-Esther Vidal |
| 2020 | Relation Extraction with Self-determined Graph Convolutional Network. | Sunil Kumar Sahu, Derek Thomas, Billy Chiu, Neha Sengupta, Mohammady Mahdy |
| 2020 | A GAN-based Framework for Modeling Hashtag Popularity Dynamics Using Assistive Information. | Avirup Saha, Niloy Ganguly |
| 2020 | Diverse Enumeration of Maximal Cliques. | Liron Sade, Sara Cohen |
| 2020 | Modelling Regional Crime Risk using Directed Graph of Check-ins. | Shakila Khan Rumi, Flora D. Salim |
| 2020 | Distant Supervision in BERT-based Adhoc Document Retrieval. | Koustav Rudra, Avishek Anand |
| 2020 | Muse: Multi-query Event Trend Aggregation. | Allison Rozet, Olga Poppe, Chuan Lei, Elke A. Rundensteiner |
| 2020 | Characteristic Functions on Graphs: Birds of a Feather, from Statistical Descriptors to Parametric Models. | Benedek Rozemberczki, Rik Sarkar |
| 2020 | Little Ball of Fur: A Python Library for Graph Sampling. | Benedek Rozemberczki, Oliver Kiss, Rik Sarkar |
| 2020 | Karate Club: An API Oriented Open-Source Python Framework for Unsupervised Learning on Graphs. | Benedek Rozemberczki, Oliver Kiss, Rik Sarkar |
| 2020 | ZSCRGAN: A GAN-based Expectation Maximization Model for Zero-Shot Retrieval of Images from Textual Descriptions. | Anurag Roy, Vinay Kumar Verma, Kripabandhu Ghosh, Saptarshi Ghosh |
| 2020 | Inside Quasimodo: Exploring Construction and Usage of Commonsense Knowledge. | Julien Romero, Simon Razniewski |