| 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 | 92 | 2022 |
| 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, ... EMNLP 2024; KDD UrbComp Workshop 2024 (Best Paper Award), 2024 | 66* | 2024 |
| MEM1: Learning to Synergize Memory and Reasoning for Efficient Long-Horizon Agents Z Zhou, A Qu, Z Wu, S Kim, A Prakash, D Rus, J Zhao, BKH Low, ... arXiv preprint arXiv:2506.15841, 2025 | 57 | 2025 |
| 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 | 39* | 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 | 35 | 2023 |
| 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, ... EMNLP 2025 Findings; IJCAI MKLM Workshop 2025 (Best Paper), 2024 | 32* | 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 | 22 | 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 | 12 | 2023 |
| 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 | 11 | 2021 |
| 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 | 9 | 2023 |
| Reimagining urban science: Scaling causal inference with large language models Y Xia, A Qu, Y Zheng, Y Tang, D Zhuang, Y Liang, S Wang, C Wu, L Sun, ... arXiv preprint arXiv:2504.12345, 2025 | 7 | 2025 |
| 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 | 7 | 2021 |
| 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 179, 105146, 2025 | 6 | 2025 |
| Revisiting the correlation between simulated and field-observed conflicts using large-scale traffic reconstruction A Qu, C Wu Accident Analysis & Prevention 210, 107808, 2025 | 6 | 2025 |
| 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 | 5 | 2024 |
| Intersectionzoo: Eco-driving for benchmarking multi-agent contextual reinforcement learning V Jayawardana, B Freydt, A Qu, C Hickert, Z Yan, C Wu ICLR 2025, 2024 | 5 | 2024 |
| 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 arXiv preprint arXiv:2405.13480, 2024 | 5 | 2024 |
| A data-integration analysis on road emissions and traffic patterns A Qu, Y Wang, Y Hu, Y Wang, H Baroud SMC Data Challenge at Oak Ridge National Lab (Best Student Paper), 503-517, 2020 | 5 | 2020 |
| Cybersecurity challenges in AI-enabled smart transportation systems L Zhu, A Qu, W Ma Handbook on Artificial Intelligence and Transport, 567-595, 2023 | 3 | 2023 |
| From Street Views to Urban Science: Discovering Road Safety Factors with Multimodal Large Language Models Y Tang, A Qu, X Yu, W Deng, J Ma, J Zhao, L Sun KDD UrbComp Workshop 2025; COLM LM4Sci Workshop 2025, 2025 | 2 | 2025 |
Jinhua ZhaoProfessor of Cities and Transportation, Massachusetts Institute of TechnologyVerified email at mit.edu
