Haoxuan Ma

According to our database, Haoxuan Ma authored at least 20 papers between 2018 and 2025.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of four.

2025

Beyond 9-to-5: A Generative Model for Augmenting Mobility Data of Underrepresented Shift Workers.

Haoxuan Ma, Xishun Liao, Yifan Liu, Chris Stanford, Jiaqi Ma

CoRR, July, 2025

Next-Generation Travel Demand Modeling with a Generative Framework for Household Activity Coordination.

Xishun Liao, Haoxuan Ma, Yifan Liu, Yuxiang Wei, Brian Yueshuai He, Chris Stanford, Jiaqi Ma

CoRR, July, 2025

MobiVerse: Scaling Urban Mobility Simulation with Hybrid Lightweight Domain-Specific Generator and Large Language Models.

Yifan Liu, Xishun Liao, Haoxuan Ma, Jonathan Liu, Rohan Jadhav, Jiaqi Ma

CoRR, June, 2025

MobiFuse: Learning Universal Human Mobility Patterns through Cross-domain Data Fusion.

Haoxuan Ma, Xishun Liao, Yifan Liu, Qinhua Jiang, Chris Stanford, Shangqing Cao, Jiaqi Ma

CoRR, March, 2025

2024

Mobility AI Agents and Networks.

Haoxuan Ma, Yifan Liu, Qinhua Jiang, Brian Yueshuai He, Xishun Liao, Jiaqi Ma

IEEE Trans. Intell. Veh., July, 2024

Driving with Regulation: Interpretable Decision-Making for Autonomous Vehicles with Retrieval-Augmented Reasoning via LLM.

Tianhui Cai, Yifan Liu, Zewei Zhou, Haoxuan Ma, Seth Z. Zhao, Zhiwen Wu, Jiaqi Ma

CoRR, 2024

Reconstructing Human Mobility Pattern: A Semi-Supervised Approach for Cross-Dataset Transfer Learning.

Xishun Liao, Yifan Liu, Chenchen Kuai, Haoxuan Ma, Brian Yueshuai He, Shangqing Cao, Chris Stanford, Jiaqi Ma

CoRR, 2024

Human Mobility Modeling with Limited Information via Large Language Models.

Yifan Liu, Xishun Liao, Haoxuan Ma, Brian Yueshuai He, Chris Stanford, Jiaqi Ma

CoRR, 2024

RLRF: Reinforcement Learning from Reflection through Debates as Feedback for Bias Mitigation in LLMs.

Ruoxi Cheng, Haoxuan Ma, Shuirong Cao, Tianyu Shi

CoRR, 2024

Lever LM: Configuring In-Context Sequence to Lever Large Vision Language Models.

Xu Yang, Yingzhe Peng, Haoxuan Ma, Shuo Xu, Chi Zhang, Yucheng Han, Hanwang Zhang

Proceedings of the Advances in Neural Information Processing Systems 38: Annual Conference on Neural Information Processing Systems 2024, 2024

A Two-Sided Model for EV Market Dynamics and Policy Implications.

Haoxuan Ma, Brian Yueshuai He, Tomas Kaljevic, Jiaqi Ma

Proceedings of the 27th IEEE International Conference on Intelligent Transportation Systems, 2024

Semantic Trajectory Data Mining with LLM-Informed POI Classification.

Yifan Liu, Chenchen Kuai, Xishun Liao, Haoxuan Ma, Brian Yueshuai He, Jiaqi Ma

Proceedings of the 27th IEEE International Conference on Intelligent Transportation Systems, 2024

V2X-Real: A Largs-Scale Dataset for Vehicle-to-Everything Cooperative Perception.

Hao Xiang, Zhaoliang Zheng, Xin Xia, Runsheng Xu, Letian Gao, Zewei Zhou, Xu Han, Xinkai Ji, Mingxi Li, Zonglin Meng, Li Jin, Mingyue Lei, Zhaoyang Ma, Zihang He, Haoxuan Ma, Yunshuang Yuan, Yingqian Zhao, Jiaqi Ma

Proceedings of the Computer Vision - ECCV 2024, 2024

Multi-Agent Multimodal Transportation Simulation for Mega-cities: Application of Los Angeles.

Brian Yueshuai He, Qinhua Jiang, Haoxuan Ma, Jiaqi Ma

Proceedings of the 15th International Conference on Ambient Systems, 2024

2023

ICD-LM: Configuring Vision-Language In-Context Demonstrations by Language Modeling.

Yingzhe Peng, Xu Yang, Haoxuan Ma, Shuo Xu, Chi Zhang, Yucheng Han, Hanwang Zhang

CoRR, 2023

2019

Data Anomaly Detection for Internet of Vehicles Based on Traffic Cellular Automata and Driving Style.

Nan Ding, Haoxuan Ma, Chuanguo Zhao, Yanhua Ma, Hongwei Ge

Sensors, 2019

Real-time anomaly detection based on long short-Term memory and Gaussian Mixture Model.

Nan Ding, Haoxuan Ma, Huanbo Gao, Yanhua Ma, Guozhen Tan

Comput. Electr. Eng., 2019

Driver's Emotional State-Based Data Anomaly Detection for Vehicular Ad Hoc Networks.

Nan Ding, Haoxuan Ma, Chuanguo Zhao, Yanhua Ma, Hongwei Ge

Proceedings of the 2019 IEEE International Conference on Smart Internet of Things (SmartIoT), 2019

2018

Multivariate-Time-Series-Driven Real-time Anomaly Detection Based on Bayesian Network.

Nan Ding, Huanbo Gao, Hongyu Bu, Haoxuan Ma, Huaiwei Si

Sensors, 2018

RADM: Real-Time Anomaly Detection in Multivariate Time Series Based on Bayesian Network.

Nan Ding, Huanbo Gao, Hongyu Bu, Haoxuan Ma

Proceedings of the 2018 IEEE International Conference on Smart Internet of Things (SmartIoT), 2018