Hao Zhen

According to our database, Hao Zhen authored at least 19 papers between 2019 and 2026.

Collaborative distances:

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

2026

Automating Crash Diagram Generation Using Vision-Language Models: A Case Study on Multi-Lane Roundabouts.

Xiao Lu, Hao Zhen, Jidong J. Yang

CoRR, April, 2026

From Logs to Language: Learning Optimal Verbalization for LLM-Based Recommendation in Production.

Yucheng Shi, Ying Li, Yu Wang, Yesu Feng, Arjun Rao, Rein Houthooft, Shradha Sehgal, Jin Wang, Hao Zhen, Ninghao Liu, Linas Baltrunas

CoRR, February, 2026

Benchmarking for Single Feature Attribution with Microarchitecture Cliffs.

Hao Zhen, Qingxuan Kang, Yungang Bao, Trevor E. Carlson

CoRR, February, 2026

2025

Multi-view Phase-aware Pedestrian-Vehicle Incident Reasoning Framework with Vision-Language Models.

Hao Zhen, Yunxiang Yang, Jidong J. Yang

CoRR, November, 2025

CrashSage: A Large Language Model-Centered Framework for Contextual and Interpretable Traffic Crash Analysis.

Hao Zhen, Jidong J. Yang

CoRR, May, 2025

Tab-Text: Bridging tabular data and natural language for enhanced traffic safety analysis and modeling.

Hao Zhen, Jidong J. Yang

Expert Syst. Appl., 2025

Cluster-guided denoising graph auto-encoder for enhanced traffic data imputation and fault detection.

Yongcan Huang, Hao Zhen, Jidong J. Yang

Expert Syst. Appl., 2025

2024

Leveraging Large Language Models with Chain-of-Thought and Prompt Engineering for Traffic Crash Severity Analysis and Inference.

Hao Zhen, Yucheng Shi, Yongcan Huang, Jidong J. Yang, Ninghao Liu

Comput., September, 2024

An Information Gradient Approach to Optimizing Traffic Sensor Placement in Statewide Networks.

Yunxiang Yang, Hao Zhen, Jidong J. Yang

Inf., 2024

Enhancing Nighttime Vehicle Detection with Day-to-Night Style Transfer and Labeling-Free Augmentation.

Yunxiang Yang, Hao Zhen, Yongcan Huang, Jidong J. Yang

CoRR, 2024

Feature Group Tabular Transformer: A Novel Approach to Traffic Crash Modeling and Causality Analysis.

Oscar Lares, Hao Zhen, Jidong J. Yang

CoRR, 2024

2022

VREFL: Verifiable and Reconnection-Efficient Federated Learning in IoT scenarios.

Heng Ye, Jiqiang Liu, Hao Zhen, Wenbin Jiang, Bin Wang, Wei Wang

J. Netw. Comput. Appl., 2022

Co-supervised learning paradigm with conditional generative adversarial networks for sample-efficient classification.

Hao Zhen, Yucheng Shi, Jidong J. Yang, Javad Mohammadpour Vehni

CoRR, 2022

Eco-driving Trajectory Planning of a Heterogeneous Platoon in Urban Environments.

Hao Zhen, Sahand Mosharafian, Jidong J. Yang, Javad Mohammadpour Velni

CoRR, 2022

2021

Internet of Things Framework in Athletics Physical Teaching System and Health Monitoring.

Hao Zhen, Priyan Malarvizhi Kumar, R. Dinesh Jackson Samuel

Int. J. Artif. Intell. Tools, 2021

2020

SPARR: Spintronics-based private aggregatable randomized response for crowdsourced data collection and analysis.

Yao-Tung Tsou, Hao Zhen, Sy-Yen Kuo, Ching-Ray Chang, Akio Fukushima, Bor-Doou Rong

Comput. Commun., 2020

DPARM: Differentially Private Association Rules Mining.

Yao-Tung Tsou, Hao Zhen, Xiyu Jiang, Yennun Huang, Sy-Yen Kuo

IEEE Access, 2020

Association Rule Mining with Differential Privacy.

Hao Zhen, Bo-Cheng Chiou, Yao-Tung Tsou, Sy-Yen Kuo, Pang-Chieh Wang

Proceedings of the 50th Annual IEEE/IFIP International Conference on Dependable Systems and Networks Workshops, 2020

2019

Analysis of Factors Affecting Construction Cost of Line Engineering and Cost Control Strategy.

Chen Wu, Bing-Jie Li, Qian Ma, Yin Wu, Hong-Da Zhao, Dong-Xiao Niu, Hao Zhen, Zhuoya Siqin

Proceedings of the Cyber Security Intelligence and Analytics, 2019