| Legal document retrieval using document vector embeddings and deep learning K Sugathadasa, B Ayesha, N de Silva, AS Perera, V Jayawardana, ... Intelligent Computing: Proceedings of the 2018 Computing Conference, Volume …, 2019 | 109* | 2019 |
| Synergistic union of word2vec and lexicon for domain specific semantic similarity K Sugathadasa, B Ayesha, N de Silva, AS Perera, V Jayawardana, ... 2017 IEEE international conference on industrial and information systems …, 2017 | 82* | 2017 |
| Deriving a representative vector for ontology classes with instance word vector embeddings V Jayawardana, D Lakmal, N de Silva, AS Perera, K Sugathadasa, ... 2017 Seventh International Conference on Innovative Computing Technology …, 2017 | 42* | 2017 |
| Semi-supervised instance population of an ontology using word vector embedding V Jayawardana, D Lakmal, N de Silva, AS Perera, K Sugathadasa, ... 2017 Seventeenth international conference on advances in ICT for emerging …, 2017 | 41* | 2017 |
| Learning eco-driving strategies at signalized intersections V Jayawardana, C Wu 2022 European Control Conference (ECC), 383-390, 2022 | 40 | 2022 |
| Word vector embeddings and domain specific semantic based semi-supervised ontology instance population V Jayawardana, D Lakmal, N de Silva, AS Perera, K Sugathadasa, ... International Journal on Advances in ICT for Emerging Regions (ICTer) 11 (1), 2018 | 18* | 2018 |
| The impact of task underspecification in evaluating deep reinforcement learning V Jayawardana, C Tang, S Li, D Suo, C Wu Advances in Neural Information Processing Systems (NeurIPS) 35, 23881-23893, 2023 | 17 | 2023 |
| Mixed autonomous supervision in traffic signal control V Jayawardana, A Landler, C Wu 2021 IEEE International Intelligent Transportation Systems Conference (ITSC …, 2021 | 12 | 2021 |
| Learning surrogates for diverse emission models ER Sanchez, C Tang, V Jayawardana, C Wu Tackling Climate Change with Machine Learning, NeurIPS, 2022 | 6 | 2022 |
| Generalizing Cooperative Eco-driving via Multi-residual Task Learning V Jayawardana, S Li, C Wu, Y Farid, K Oguchi International Conference on Robotics and Automation (ICRA) 2024, 2024 | 5 | 2024 |
| Fleet management for ride-pooling with meeting points at scale: a case study in the five boroughs of New York City M Mounesan, V Jayawardana, Y Wu, S Samaranayake, HT Vo arXiv preprint arXiv:2105.00994, 2021 | 5 | 2021 |
| The Braess's Paradox in Dynamic Traffic D Zhuang, Y Huang, V Jayawardana, J Zhao, D Suo, C Wu 2022 IEEE 25th International Conference on Intelligent Transportation …, 2022 | 4 | 2022 |
| What is a typical signalized intersection in a city? A pipeline for intersection data imputation from OpenStreetMap A Qu, A Valiveru, C Tang, V Jayawardana, B Freydt, C Wu Transportation Research Board, 2022 | 4 | 2022 |
| IntersectionZoo: Eco-driving for Benchmarking Multi-Agent Contextual Reinforcement Learning V Jayawardana, B Freydt, A Qu, C Hickert, Z Yan, C Wu International Conference on Learning Representations (ICLR) 2025, 2025 | 2 | 2025 |
| Model-free Learning of Corridor Clearance: A Near-term Deployment Perspective V Jayawardana*, D Suo*, C Wu IEEE Transactions on Intelligent Transportation Systems (T-ITS) 2023, 2023 | 2* | 2023 |
| Multi-behavior Learning for Socially Compatible Autonomous Driving S Jayawardana, V Jayawardana, K Vidanage, C Wu 2023 IEEE 26th International Conference on Intelligent Transportation …, 2023 | 2 | 2023 |
| A Statistical Approach to Quantify the Reliability of Travel Time for Trip Planning Purposes C Vidanapathirana, S Bandara, V Jayawardana 2020 Moratuwa Engineering Research Conference (MERCon), 390-394, 2020 | 2 | 2020 |
| Mitigating Metropolitan Carbon Emissions with Dynamic Eco-driving at Scale V Jayawardana, B Freydt, A Qu, C Hickert, E Sanchez, C Tang, M Taylor, ... Transportation Research part C: Emerging Technologies (TR-C) (major revision), 2024 | 1 | 2024 |
| Model-Based Transfer Learning for Contextual Reinforcement Learning JH Cho, V Jayawardana, S Li, C Wu Advances in Neural Information Processing Systems (NeurIPS) 2024, 2024 | | 2024 |
| Learning-Augmented Vehicle Dispatching with Slack Times for High-Capacity Ride-Pooling Y Kim, V Jayawardana, S Samaranayake Transportation Research Part C: Emerging Technologies (TR-C) (major revision), 2024 | | 2024 |
Cathy WuMITVerified email at mit.edu
