| Domain adversarial spatial-temporal network: A transferable framework for short-term traffic forecasting across cities Y Tang, A Qu, AHF Chow, WHK Lam, SC Wong, W Ma CIKM 2022 (Oral), 1905-1915, 2022 | 44 | 2022 |
| Detecting extreme traffic events via a context augmented graph autoencoder Y Hu, A Qu, D Work ACM Transactions on Intelligent Systems and Technology (TIST) 13 (6), 1-23, 2022 | 34* | 2022 |
| Adversarial Attacks on Deep Reinforcement Learning-based Traffic Signal Control Systems with Colluding Vehicles A Qu, Y Tang, W Ma ACM Transactions on Intelligent Systems and Technology 14 (6), 1-22, 2023 | 18 | 2023 |
| Synergizing Spatial Optimization with Large Language Models for Open-Domain Urban Itinerary Planning Y Tang, Z Wang, A Qu, Y Yan, K Hou, D Zhuang, X Guo, H Zheng, T Luo, ... KDD UrbComp Workshop 2024 (Best Paper Award); EMNLP 2024, 2024 | 13 | 2024 |
| Streaming data preprocessing via online tensor recovery for large environmental sensor networks Y Hu, A Qu, Y Wang, DB Work ACM Transactions on Knowledge Discovery from Data (TKDD) 16 (6), 1-24, 2022 | 11 | 2022 |
| Dissolving the segmentation of a shared mobility market: A framework and four market structure designs X Guo, A Qu, H Zhang, P Noursalehi, J Zhao Transportation Research Part C: Emerging Technologies 157, 104397, 2023 | 7 | 2023 |
| SEIP: Simulation-based design and evaluation of infrastructure-based collective perception A Qu, X Huang, D Suo 2023 IEEE 26th International Conference on Intelligent Transportation …, 2023 | 6 | 2023 |
| Modeling multi-level patterns of environmental migration in Bangladesh: An agent-based approach K Best, J Gilligan, A Qu 2021 Winter Simulation Conference (WSC), 1-12, 2021 | 5 | 2021 |
| The psychology of virtual queue: When waiting feels less like waiting K Hu, X Xu, A Qu Vanderbilt Owen Graduate School of Management Research Paper Forthcoming, 2021 | 5 | 2021 |
| A data-integration analysis on road emissions and traffic patterns A Qu, Y Wang, Y Hu, Y Wang, H Baroud Driving Scientific and Engineering Discoveries Through the Convergence of …, 2020 | 4 | 2020 |
| 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 TRB Annual Meeting 2023, 2024 | 3 | 2024 |
| Revisiting the correlation between simulated and field-observed conflicts using large-scale traffic reconstruction A Qu, C Wu Accident Analysis & Prevention 210, 107808, 2025 | 2 | 2025 |
| Sparkle: Mastering basic spatial capabilities in vision language models elicits generalization to composite spatial reasoning Y Tang, A Qu, Z Wang, D Zhuang, Z Wu, W Ma, S Wang, Y Zheng, Z Zhao, ... arXiv preprint arXiv:2410.16162, 2024 | 2 | 2024 |
| Intersectionzoo: Eco-driving for benchmarking multi-agent contextual reinforcement learning V Jayawardana, B Freydt, A Qu, C Hickert, Z Yan, C Wu arXiv preprint arXiv:2410.15221, 2024 | 2 | 2024 |
| A graph approach to simulate twitter activities with hawkes processes A Qu, I Lemhadri Proceedings of the 2021 4th International Conference on Mathematics and …, 2021 | 2 | 2021 |
| ITINERA: Integrating Spatial Optimization with Large Language Models for Open-domain Urban Itinerary Planning Y Tang, Z Wang, A Qu, Y Yan, Z Wu, D Zhuang, J Kai, K Hou, X Guo, ... Proceedings of the 2024 Conference on Empirical Methods in Natural Language …, 2024 | 1 | 2024 |
| Mitigating metropolitan carbon emissions with dynamic eco-driving at scale V Jayawardana, B Freydt, A Qu, C Hickert, E Sanchez, C Tang, M Taylor, ... arXiv preprint arXiv:2408.05609, 2024 | 1 | 2024 |
| Robust Reinforcement Learning Strategies with Evolving Curriculum for Efficient Bus Operations in Smart Cities Y Tang, A Qu, X Jiang, B Mo, S Cao, J Rodriguez, HN Koutsopoulos, ... Smart Cities 7 (6), 3658-3677, 2024 | | 2024 |
| Domain-Randomized Curriculum for Robust Reinforcement Learning In Bus Operations Y Tang, A Qu, X Jiang, B Mo, A Cao, J Rodriguez, C Wu, J Zhao Available at SSRN 4849646, 0 | | |
Yihong TangMcGill Universitymail.mcgill.ca의 이메일 확인됨