A Data-Integration Analysis on Road Emissions and Traffic Patterns. - Ao Qu; Yu Wang 160; Yue Hu; Yanbing Wang; Hiba Baroud (SMC, 2020)

Graph Convolutional Networks for traffic anomaly. - Yue Hu; Ao Qu; Dan Work (CoRR, 2020)

A Graph Approach to Simulate Twitter Activities with Hawkes Processes. - Ao Qu; Ismael Lemhadri (ICoMS, 2021)

Modeling Multi-Level Patterns of Environmental Migration in Bangladesh: An Agent-Based Approach. - Kelsea Best; Jonathan M. Gilligan; Ao Qu (WSC, 2021)

Attacking Deep Reinforcement Learning-Based Traffic Signal Control Systems with Colluding Vehicles. - Ao Qu; Yihong Tang; Wei Ma (CoRR, 2021)

Domain Adversarial Spatial-Temporal Network: A Transferable Framework for Short-term Traffic Forecasting across Cities. - Yihong Tang; Ao Qu; Andy H. F. Chow; William H. K. Lam; Sze Chun Wong; Wei Ma (CIKM, 2022)

Detecting Extreme Traffic Events Via a Context Augmented Graph Autoencoder. - Yue Hu; Ao Qu; Dan Work (ACM Trans. Intell. Syst. Technol., 2022)

Streaming Data Preprocessing via Online Tensor Recovery for Large Environmental Sensor Networks. - Yue Hu; Ao Qu; Yanbing Wang; Daniel B. Work (ACM Trans. Knowl. Discov. Data, 2022)

SEIP: Simulation-based Design and Evaluation of Infrastructure-based Collective Perception. - Ao Qu; Xuhuan Huang; Dajiang Suo (ITSC, 2023)

Adversarial Attacks on Deep Reinforcement Learning-based Traffic Signal Control Systems with Colluding Vehicles. - Ao Qu; Yihong Tang; Wei Ma (ACM Trans. Intell. Syst. Technol., 2023)

ItiNera: Integrating Spatial Optimization with Large Language Models for Open-domain Urban Itinerary Planning. - Yihong Tang; Zhaokai Wang; Ao Qu; Yihao Yan; Zhaofeng Wu; Dingyi Zhuang; Jushi Kai; Kebing Hou; Xiaotong Guo; Jinhua Zhao; Zhan Zhao; Wei Ma (EMNLP (Industry Track), 2024)

Synergizing Spatial Optimization with Large Language Models for Open-Domain Urban Itinerary Planning. - Yihong Tang; Zhaokai Wang; Ao Qu; Yihao Yan; Kebing Hou; Dingyi Zhuang; Xiaotong Guo; Jinhua Zhao; Zhan Zhao; Wei Ma (CoRR, 2024)

What is a typical signalized intersection in a city? A pipeline for intersection data imputation from OpenStreetMap. - Ao Qu; Anirudh Valiveru; Catherine Tang; Vindula Jayawardana; Baptiste Freydt; Cathy Wu 002 (CoRR, 2024)

Mitigating Metropolitan Carbon Emissions with Dynamic Eco-driving at Scale. - Vindula Jayawardana; Baptiste Freydt; Ao Qu; Cameron Hickert; Edgar Sanchez; Catherine Tang; Mark Taylor; Blaine Leonard; Cathy Wu 002 (CoRR, 2024)

Sparkle: Mastering Basic Spatial Capabilities in Vision Language Models Elicits Generalization to Composite Spatial Reasoning. - Yihong Tang; Ao Qu; Zhaokai Wang; Dingyi Zhuang; Zhaofeng Wu; Wei Ma; Shenhao Wang; Yunhan Zheng; Zhan Zhao; Jinhua Zhao (CoRR, 2024)

IntersectionZoo: Eco-driving for Benchmarking Multi-Agent Contextual Reinforcement Learning. - Vindula Jayawardana; Baptiste Freydt; Ao Qu; Cameron Hickert; Zhongxia Yan 001; Cathy Wu 002 (ICLR, 2025)

Reimagining Urban Science: Scaling Causal Inference with Large Language Models. - Yutong Xia; Ao Qu; Yunhan Zheng; Yihong Tang; Dingyi Zhuang; Yuxuan Liang; Cathy Wu 002; Roger Zimmermann; Jinhua Zhao (CoRR, 2025)

From Street Views to Urban Science: Discovering Road Safety Factors with Multimodal Large Language Models. - Yihong Tang; Ao Qu; Xujing Yu; Weipeng Deng; Jun Ma; Jinhua Zhao; Lijun Sun (CoRR, 2025)

Position: Simulating Society Requires Simulating Thought. - Chance Jiajie Li; Jiayi Wu; Zhenze Mo; Ao Qu; Yuhan Tang; Kaiya Ivy Zhao; Yulu Gan; Jie Fan; Jiangbo Yu; Jinhua Zhao; Paul Liang; Luis Alonso; et al. (CoRR, 2025)

MEM1: Learning to Synergize Memory and Reasoning for Efficient Long-Horizon Agents. - Zijian Zhou; Ao Qu; Zhaoxuan Wu; Sunghwan Kim; Alok Prakash; Daniela Rus; Jinhua Zhao; Bryan Kian Hsiang Low; Paul Pu Liang (CoRR, 2025)