Ao Qu

According to our database, Ao Qu authored at least 30 papers between 2020 and 2026.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of three.

2026

The Last Human-Written Paper: Agent-Native Research Artifacts.

Jiachen Liu, Jiaxin Pei, Jintao Huang, Chenglei Si, Ao Qu, Xiangru Tang, Runyu Lu, Lichang Chen, Xiaoyan Bai, Haizhong Zheng, Carl Chen, Zhiyang Chen, Haojie Ye, Yujuan Fu, Zexue He, Zijian Jin, Zhenyu Zhang, Shangquan Sun, Maestro Harmon, John Dianzhuo Wang, Jianqiao Zeng, Jiachen Sun, Mingyuan Wu, Baoyu Zhou, Chenyu You, Shijian Lu, Yiming Qiu, Fan Lai, Yuan Yuan, Yao Li, Junyuan Hong, Ruihao Zhu, Beidi Chen, Alex Pentland, Ang Chen, Mosharaf Chowdhury, Zechen Zhang

CoRR, April, 2026

Ozone: A Unified Platform for Transportation Research.

Ou Zheng, Ruyi Feng, Yufeng Yang, Shengxuan Ding, Lishengsa Yue, Ye Li, Yunhan Zheng, Minwei Kong, Dingyi Zhuang, Ao Qu, Zhibin Li, Dongjie Wang, Wangyang Ying

CoRR, April, 2026

CORAL: Towards Autonomous Multi-Agent Evolution for Open-Ended Discovery.

Ao Qu, Han Zheng, Zijian Zhou, Yihao Yan, Yihong Tang, Shao Yong Ong, Fenglu Hong, Kaichen Zhou, Chonghe Jiang, Minwei Kong, Jiacheng Zhu, Xuan Jiang, Sirui Li, Cathy Wu, Bryan Kian Hsiang Low, Jinhua Zhao, Paul Pu Liang

CoRR, April, 2026

OmniSapiens: A Foundation Model for Social Behavior Processing via Heterogeneity-Aware Relative Policy Optimization.

Keane Ong, Sabri Boughorbel, Luwei Xiao, Chanakya Ekbote, Wei Dai, Ao Qu, Jingyao Wu, Rui Mao, Ehsan Hoque, Erik Cambria, Gianmarco Mengaldo, Paul Pu Liang

CoRR, February, 2026

2025

E3AD: An Emotion-Aware Vision-Language-Action Model for Human-Centric End-to-End Autonomous Driving.

Yihong Tang, Haicheng Liao, Tong Nie, Junlin He, Ao Qu, Kehua Chen, Wei Ma, Zhenning Li, Lijun Sun, ChengZhong Xu

CoRR, December, 2025

AlphaOPT: Formulating Optimization Programs with Self-Improving LLM Experience Library.

Minwei Kong, Ao Qu, Xiaotong Guo, Wenbin Ouyang, Chonghe Jiang, Han Zheng, Yining Ma, Dingyi Zhuang, Yuhan Tang, Junyi Li, Hai Wang, Cathy Wu, Jinhua Zhao

CoRR, October, 2025

HugAgent: Evaluating LLMs in Simulating Individual-Level Human Reasoning on Open-Ended Tasks.

Chance Jiajie Li, Zhenze Mo, Yuhan Tang, Ao Qu, Jiayi Wu, Kaiya Ivy Zhao, Yulu Gan, Jie Fan, Jiangbo Yu, Hang Jiang, Paul Liang, Jinhua Zhao, Luis Alberto Alonso Pastor, Kent Larson

CoRR, October, 2025

ClassMind: Scaling Classroom Observation and Instructional Feedback with Multimodal AI.

Ao Qu, Yuxi Wen, Jiayi Zhang, Yunge Wen, Yibo Zhao, Alok Prakash, Andrés F. Salazar-Gómez, Paul Pu Liang, Jinhua Zhao

CoRR, September, 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, June, 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, Kent Larson

CoRR, June, 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, June, 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, Roger Zimmermann, Jinhua Zhao

CoRR, April, 2025

IntersectionZoo: Eco-driving for Benchmarking Multi-Agent Contextual Reinforcement Learning.

Vindula Jayawardana, Baptiste Freydt, Ao Qu, Cameron Hickert, Zhongxia Yan, Cathy Wu

Proceedings of the Thirteenth International Conference on Learning Representations, 2025

Sparkle: Mastering Basic Spatial Capabilities in Vision Language Models Elicits Generalization to Spatial Reasoning.

Yihong Tang, Ao Qu, Zhaokai Wang, Dingyi Zhuang, Zhaofeng Wu, Wei Ma, Shenhao Wang, Yunhan Zheng, Zhan Zhao, Jinhua Zhao

Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2025, 2025

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

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

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

CoRR, 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

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

Proceedings of the 2024 Conference on Empirical Methods in Natural Language Processing: EMNLP 2024, 2024

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., December, 2023

SEIP: Simulation-based Design and Evaluation of Infrastructure-based Collective Perception.

Ao Qu, Xuhuan Huang, Dajiang Suo

Proceedings of the 26th IEEE International Conference on Intelligent Transportation Systems, 2023

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

Detecting Extreme Traffic Events Via a Context Augmented Graph Autoencoder.

Yue Hu, Ao Qu, Dan Work

ACM Trans. Intell. Syst. Technol., 2022

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

CoRR, 2022

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

Proceedings of the 31st ACM International Conference on Information & Knowledge Management, 2022

2021

Attacking Deep Reinforcement Learning-Based Traffic Signal Control Systems with Colluding Vehicles.

Ao Qu, Yihong Tang, Wei Ma

CoRR, 2021

Modeling Multi-Level Patterns of Environmental Migration in Bangladesh: An Agent-Based Approach.

Kelsea Best, Jonathan M. Gilligan, Ao Qu

Proceedings of the Winter Simulation Conference, 2021

A Graph Approach to Simulate Twitter Activities with Hawkes Processes.

Ao Qu, Ismael Lemhadri

Proceedings of the ICoMS 2021: 4th International Conference on Mathematics and Statistics, Paris, France, June 24, 2021

2020

Graph Convolutional Networks for traffic anomaly.

Yue Hu, Ao Qu, Dan Work

CoRR, 2020

A Data-Integration Analysis on Road Emissions and Traffic Patterns.

Ao Qu, Yu Wang, Yue Hu, Yanbing Wang, Hiba Baroud

Proceedings of the Driving Scientific and Engineering Discoveries Through the Convergence of HPC, Big Data and AI, 2020