RADM: Real-Time Anomaly Detection in Multivariate Time Series Based on Bayesian Network. - Nan Ding 001; Huanbo Gao; Hongyu Bu; Haoxuan Ma (SmartIoT, 2018)

Multivariate-Time-Series-Driven Real-time Anomaly Detection Based on Bayesian Network. - Nan Ding 001; Huanbo Gao; Hongyu Bu; Haoxuan Ma; Huaiwei Si (Sensors, 2018)

Driver's Emotional State-Based Data Anomaly Detection for Vehicular Ad Hoc Networks. - Nan Ding 001; Haoxuan Ma; Chuanguo Zhao; Yanhua Ma; Hongwei Ge (SmartIoT, 2019)

Real-time anomaly detection based on long short-Term memory and Gaussian Mixture Model. - Nan Ding 001; Haoxuan Ma; Huanbo Gao; Yanhua Ma; Guozhen Tan (Comput. Electr. Eng., 2019)

Data Anomaly Detection for Internet of Vehicles Based on Traffic Cellular Automata and Driving Style. - Nan Ding 001; Haoxuan Ma; Chuanguo Zhao; Yanhua Ma; Hongwei Ge (Sensors, 2019)

ICD-LM: Configuring Vision-Language In-Context Demonstrations by Language Modeling. - Yingzhe Peng; Xu Yang 021; Haoxuan Ma; Shuo Xu; Chi Zhang 067; Yucheng Han; Hanwang Zhang (CoRR, 2023)

Multi-Agent Multimodal Transportation Simulation for Mega-cities: Application of Los Angeles. - Brian Yueshuai He; Qinhua Jiang; Haoxuan Ma; Jiaqi Ma 003 (ANT/EDI40, 2024)

V2X-Real: A Largs-Scale Dataset for Vehicle-to-Everything Cooperative Perception. - Hao Xiang; Zhaoliang Zheng; Xin Xia 007; Runsheng Xu; Letian Gao; Zewei Zhou; Xu Han 014; Xinkai Ji; Mingxi Li; Zonglin Meng; Li Jin; Mingyue Lei; et al. (ECCV (52), 2024)

Semantic Trajectory Data Mining with LLM-Informed POI Classification. - Yifan Liu; Chenchen Kuai; Xishun Liao; Haoxuan Ma; Brian Yueshuai He; Jiaqi Ma 003 (ITSC, 2024)

A Two-Sided Model for EV Market Dynamics and Policy Implications. - Haoxuan Ma; Brian Yueshuai He; Tomas Kaljevic; Jiaqi Ma 003 (ITSC, 2024)

Lever LM: Configuring In-Context Sequence to Lever Large Vision Language Models. - Xu Yang 021; Yingzhe Peng; Haoxuan Ma; Shuo Xu; Chi Zhang 067; Yucheng Han; Hanwang Zhang (NeurIPS, 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)

Human Mobility Modeling with Limited Information via Large Language Models. - Yifan Liu; Xishun Liao; Haoxuan Ma; Brian Yueshuai He; Chris Stanford; Jiaqi Ma 003 (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 003 (CoRR, 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 003 (CoRR, 2024)

Mobility AI Agents and Networks. - Haoxuan Ma; Yifan Liu; Qinhua Jiang; Brian Yueshuai He; Xishun Liao; Jiaqi Ma 003 (IEEE Trans. Intell. Veh., 2024)

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 003 (CoRR, 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 003 (CoRR, 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 003 (CoRR, 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 003 (CoRR, 2025)