Kaveh Hassani

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WonSook LeeProfessor, School of EE and CS, University of OttawaVerified email at uottawa.ca
Amir Hosein KhasahmadiMachine Learning Research Scientist at AutodeskVerified email at autodesk.com
Ramin AyanzadehNSF/CRA/CCC CI Postdoctoral Fellow, Georgia TechVerified email at gatech.edu
Daniele GrandiSr. Research Engineer at Autodesk ResearchVerified email at berkeley.edu
Pradeep Kumar JayaramanPrincipal Research Scientist, Autodesk ResearchVerified email at autodesk.com
George FitzmauriceDirector, Research, Autodesk ResearchVerified email at autodesk.com
Tovi GrossmanUniversity of TorontoVerified email at dgp.toronto.edu
Minsuk ChangGoogleVerified email at google.com
Ben LafreniereFacebook Reality LabsVerified email at fb.com
Bryony L DuPontAssociate Professor of Mechanical Engineering, Oregon State UniversityVerified email at oregonstate.edu
Vincenzo FerreroMechanical EngineerVerified email at nist.gov
Danica J. SutherlandUniversity of British Columbia + AmiiVerified email at cs.ubc.ca
Hamed ShirzadPh.D. Student, Computer Science Department, UBCVerified email at cs.ubc.ca
Bingbing LiAssociate Professor of Manufacturing Systems Engineering, California State University NorthridgeVerified email at csun.edu
Axel FernandesAutonomy Research Center for STEAHM California State University Northridge Northridge, CA 91324, USAVerified email at my.csun.edu
Shijie BianCarnegie Mellon UniversityVerified email at g.ucla.edu
Richard OtisJet Propulsion Laboratory, California Institute of TechnologyVerified email at jpl.nasa.gov
Andrew Z WangUniversity of Texas SouthwesternVerified email at utsouthwestern.edu
Saeid AsgariAutodesk AI ResearchVerified email at autodesk.com
Leo J. LeeSenior Research Scientist, University of TorontoVerified email at psi.toronto.edu

Kaveh Hassani

Research Scientist at Meta AI

Verified email at meta.com

Deep Learning


Title Sort by citations Sort by year Sort by title	Cited by Cited by	Year
Contrastive multi-view representation learning on graphs K Hassani, AH Khasahmadi International conference on machine learning, 4116-4126, 2020	1144	2020
Unsupervised multi-task feature learning on point clouds K Hassani, M Haley Proceedings of the IEEE/CVF International Conference on Computer Vision …, 2019	200	2019
Design and implementation of an intelligent virtual environment for improving speaking and listening skills K Hassani, A Nahvi, A Ahmadi Interactive Learning Environments 24 (1), 252-271, 2013	94	2013
Memory-based graph networks QM Amir Hosein Khasahmadi, Kaveh Hassani, Parsa Moradi, Leo Lee International Conference on Learning Representations, 2020	87*	2020
Multi-objective design of state feedback controllers using reinforced quantum-behaved particle swarm optimization K Hassani, WS Lee Applied Soft Computing 41, 66-76, 2016	55	2016
Visualizing natural language descriptions: A survey K Hassani, WS Lee ACM Computing Surveys (CSUR) 49 (1), 1-34, 2016	53	2016
Optimal Tuning of Linear Quadratic Regulators using Quantum Particle Swarm Optimization K Hassani, WS Lee International Conference of Control, Dynamic Systems, and Robotics (CDSR'14 …, 2014	53	2014
Multi-layer cellular automata for generating normal random numbers R Ayanzadeh, Y Moghaddas, S Setayeshi, K Hassani, H Gheiby 2010 18th Iranian Conference on Electrical Engineering, 495-500, 2010	21*	2010
Cross-domain few-shot graph classification K Hassani Proceedings of the AAAI Conference on Artificial Intelligence 36 (6), 6856-6864, 2022	17	2022
An incremental framework for classification of EEG signals using quantum particle swarm optimization K Hassani, WS Lee 2014 IEEE International Conference on Computational Intelligence and Virtual …, 2014	15	2014
Learning graph augmentations to learn graph representations K Hassani, AH Khasahmadi arXiv preprint arXiv:2201.09830, 2022	13	2022
Architectural design and implementation of intelligent embodied conversational agents using fuzzy knowledge base K Hassani, A Nahvi, A Ahmadi Journal of Intelligent & Fuzzy Systems 25 (3), 811-823, 2013	13	2013
Disambiguating Spatial Prepositions Using Deep Convolutional Networks K Hassani, WS Lee Thirty-First AAAI Conference on Artificial Intelligence, 3209-3215, 2017	11	2017
Innovative approach to generate uniform random numbers based on a novel cellular automata R Ayanzadeh, K Hassani, Y Moghaddas, H Gheiby, S Setayeshi Journal of Applied Sciences 9 (22), 4071-4075, 2009	10	2009
Classifying component function in product assemblies with graph neural networks V Ferrero, B DuPont, K Hassani, D Grandi Journal of Mechanical Design 144 (2), 021406, 2022	9	2022
Pointmask: Towards interpretable and bias-resilient point cloud processing SA Taghanaki, K Hassani, PK Jayaraman, AH Khasahmadi, T Custis arXiv preprint arXiv:2007.04525, 2020	9	2020
Relational Graph Representation Learning for Open-Domain Question Answering S Vivona, K Hassani NeurIPS Graph Representation Learning Workshop, 2019	9	2019
A software-in-the-loop simulation of an intelligent microsatellite within a virtual environment K Hassani, WS Lee 2013 IEEE International Conference on Computational Intelligence and Virtual …, 2013	9	2013
Techniques for workflow analysis and design task optimization T Grossman, G Fitzmaurice, B Lafreniere, J Kim, M Chang, K Hassani US Patent 11,586,464, 2023	8	2023
Evaluating graph generative models with contrastively learned features H Shirzad, K Hassani, DJ Sutherland Advances in Neural Information Processing Systems 35, 7783-7795, 2022	7	2022

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