Accepted Papers


  • Heterogeneous network-based Drug Repurposing for COVID-19 - Shuting Jin (Xiamen university)*; Wei Huang (Xiamen university); Xiangxiang Zeng (Hunan University); Feng Xia (Xiamen university ); Changzhi Jiang (Xiamen university); Xiangrong Liu (Xiamen University, China)
  • COVIDx-US: An Open Benchmark Ultrasound Imaging Dataset for AI-Driven COVID-19 Diagnosis - Ashkan Ebadi (National Research Council)*; PENGCHENG XI (National Research Council Canada); Alexander MacLean (University of Waterloo); Stéphane Tremblay (National Research Council); Sonny Kohli (Oakville Trafalgar Memorial Hospital, McMaster University); Alexander Wong (University of Waterloo)
  • Predicting the Binding of SARS-CoV-2 Peptides to the Major Histocompatibility Complex with Recurrent Neural Networks - Johanna Vielhaben (Fraunhofer HHI); Markus A. Wenzel (Fraunhofer Heinrich Hertz Institute); Eva Weicken (Fraunhofer HHI); Nils Strodthoff (Fraunhofer HHI)*
  • A Machine Learning Model for Predicting Deterioration of COVID-19 Inpatients - Omer Noy (Tel-Aviv University)*; Dan Coster (Tel-Aviv University); Ron Shamir (Tel-Aviv University )
  • COVID-Net CT-2: Enhanced Deep Neural Networks for Detection of COVID-19 from Chest CT Images Through Bigger, More Diverse Learning - Hayden Gunraj (University of Waterloo)*; Ali Sabri (McMaster University); David Koff (McMaster University); Alexander Wong (University of Waterloo)
  • Light Attention predicts Protein Location from the Language of Life - Hannes Stärk (Technical University of Munich)*; Christian Dallago (Technical University of Munich); Michael Heinzinger (Technical University of Munich); Burkhard Rost (Technical University of Munich)
  • Bayesian detection and uncertainty quantification of the first change point of the COVID-19 case curve in the Midwest: Timeliness of non-pharmaceutical interventions. - Alessandro Maria Selvitella (Purdue University Fort Wayne)*; Kathleen Lois Foster (Ball State University)
  • Transformer Neural Network for Structure Constrained Molecular Optimization - Jiazhen He (AstraZeneca)*; Felix Mattsson (AstraZeneca); Marcus Forsberg (AstraZeneca); Esben Bjerrum (AstraZeneca); Ola Engkvist (AstraZeneca AB); Eva Nittinger (AstraZeneca); Christian Tyrchan (AstraZeneca); Werngard Czechtizky (AstraZeneca)
  • Forecasting COVID-19 Counts At A Single Hospital: A Hierarchical Bayesian Approach - Alexandra H Lee (Tufts University)*; Panagiotis Lymperopoulos (Tufts University); Joshua Cohen (Tufts Medical Center); John Wong (Tufts Medical Center); Michael Hughes (Tufts University)
  • Epidemic Log Gaussian Cox Process: Local Laplace Method and Closed-Forms - Francois Buet-Golfouse (UCL)*
  • Conditional Synthetic Data Generation for Robust Machine Learning Applications with Limited Pandemic Data - Hari Prasanna Das (UC Berkeley )*; Ryan Tran (UC Berkeley); Japjot Singh (UC Berkeley); Xiangyu Yue (University of California, Berkeley); Geoffrey Tison (University of California, San Francisco); Alberto L Sangiovanni-Vincentelli (University of California, Berkeley); Costas J. Spanos (University of California at Berkeley)
  • FedPandemic: A Cross-Device Federated Learning Approach Towards Elementary Prognosis of Diseases During a Pandemic - Aman Priyanshu (Manipal Institute Of Technology); Rakshit Naidu (Manipal Institute of Technology)*
  • Real-time pathogenicity prediction during genome sequencing of novel viruses and bacteria - Jakub M Bartoszewicz (Hasso Plattner Institute)*; Ulrich Genske (Hasso Plattner Institute); Bernhard Renard (Hasso Plattner Institute)
  • COVID-19 incidence in the Indiana's secondary school system through a Conditional Gaussian model and an age-structured compartmental model - Kale Menchhofer (Purdue University Fort Wayne); Nathan Mills (Purdue University Fort Wayne); Kathleen Lois Foster (Ball State University); Alessandro Maria Selvitella (Purdue University Fort Wayne)*
  • Evening the Score: Targeting SARS-CoV-2 Protease Inhibition in Graph Generative Models for Therapeutic Candidates - Jenna Bilbrey (Pacific Northwest National Laboratory); Logan Ward (Argonne National Laboratory); Sutanay Choudhury (Pacific Northwest National Laboratory)*; Neeraj Kumar (Pacific Northwest National Lab); Ganesh Sivaraman (Argonne National Laboratory)
  • Drug Repurposing for Multiple COVID Strains using Collaborative Filtering - Vanja Doskoc (Hasso Plattner Institute)*; Tobias Friedrich (Hasso Plattner Institute); Sarel Cohen (Hasso Plattner Institute); Otto Kißig ( Hasso Plattner Institute); Martin Taraz (Hasso Plattner Institute)
  • Managing an SIR Epidemic System via Optimal Control of Transmission Rate - Harsh Maheshwari (Flipkart Internet Private Limited)*; Shreyas Shetty (Flipkart Internet Private Limited); Nayana Bannur (Wadhwani Institute for Artificial Intelligence); Srujana Merugu (Wadhwani Institute for Artificial Intelligence)
  • COVID-NETCT-S: 3D CONVOLUTIONALNEURALNETWORKARCHITECTURES FORCOVID-19 SEVER-ITYASSESSMENT USINGCHESTCT IMAGES - Hossein Aboutalebi (University of Waterloo)*; Saad Abbasi (University of Waterloo ); Mohammad Javad Shafiee (University of Waterloo); Alexander Wong (University of Waterloo)
  • Epidemic Model Guided Machine Learning for COVID-19 Forecasts - Difan Zou (University of California, Los Angeles)*; Lingxiao Wang (University of California, Los Angeles); Pan Xu (University of California, Los Angeles); Jinghui Chen (UCLA); Weitong ZHANG (University of California, Los Angeles); Quanquan Gu (University of California, Los Angeles)
  • HuggingMolecules: an open-source library for transformer-based molecular property prediction - Piotr Gaiński (Jagiellonian Univeristy); Łukasz Maziarka (Jagiellonian University)*; Tomasz Danel (Jagiellonian Univeristy); Stanislaw Jastrzebski (New York University)
  • Forecast-driven Evidence of Human Mobility Impacting the Spread of COVID-19 - Kangmin Tan (University of Southern California); Haiwen Chen (University of Southern California); Ajitesh Srivastava (University of Southern California)*
  • Computationally Accelerating Protein-Ligand Docking for Neglected Tropical Diseases: a case study on Drug Repurposing for Leishmaniasis - Hassan Kane (MIT)*; Loïc Kwate Dassi (ENSIMAG); Ebenezer Nkwate (WL Research)
  • COVID-19 Detection from Chest X-ray Images using Imprinted Weights Approach - Jason Zhang (National Research Council of Canada)*; PENGCHENG XI (National Research Council Canada); Alexander Wong (University of Waterloo); Ashkan Ebadi (National Research Council Canada); Hilda Azimi (NRC); Stéphane Tremblay (National Research Council)
  • Data-driven Optimization Model for Global Covid-19 Intervention Plans - Chang Liu (Georgian Partners)*; Akshay Budhkar (Georgian Partners)
  • TOWARDS INTERPRETING ZOONOTIC POTENTIAL OF BETACORONAVIRUS SEQUENCES WITH ATTENTION - Kahini Wadhawan (IBM Research)*; Payel Das (IBM Research); Barbara A Han (Cary Institute of Ecosystem Studies); Ilya R Fischhoff (Cary Institute of Ecosystem Studies); Adrian Castellanos (Cary Institute of Ecosystem Studies); Arvind Varsani (The Biodesign Center for Fundamental and Applied Microbiomics, Center for Evolution and Medicine, School of Life Sciences, Arizona State University); Kush R Varshney (IBM Research)
  • Impact of data-splits on generalization: Identifying COVID-19 from cough and context - Makkunda Sharma (Wadhwani AI)*; Nikhil Shenoy (Wadhwani AI); Jigar Doshi (Wadhwani AI); Piyush Bagad (Wadhwani AI); Aman Dalmia (Wadhwani Institute for Artificial Intelligence); Parag V Bhamare (Wadhwani Institute for Artificial Intelligence); Amrita Mahale (Wadhwani Institute for Artificial Intelligence); Saurabh Rane (Wadhwani AI); NEERAJ H AGRAWAL (Wadhwani Institute for Artificial Intelligence); Rahul A Panicker (Wadhwani Institute for Artificial Intelligence)