Hao Zhen - RankMe

19 papers Journal 17Unranked 2

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	Benchmarking for Single Feature Attribution with Microarchitecture Cliffs. CoRR Hao Zhen, Qingxuan Kang, Yungang Bao, Trevor E. Carlson
2026	J	`jnl`	From Logs to Language: Learning Optimal Verbalization for LLM-Based Recommendation in Production. CoRR Yucheng Shi, Ying Li, Yu Wang, Yesu Feng, Arjun Rao, Rein Houthooft, Shradha Sehgal, Jin Wang, Hao Zhen, Ninghao Liu, Linas Baltrunas
2025	J	`jnl`	Cluster-guided denoising graph auto-encoder for enhanced traffic data imputation and fault detection. Expert Syst. Appl. Yongcan Huang, Hao Zhen, Jidong J. Yang
2025	J	`jnl`	CrashSage: A Large Language Model-Centered Framework for Contextual and Interpretable Traffic Crash Analysis. CoRR Hao Zhen, Jidong J. Yang
2025	J	`jnl`	Multi-view Phase-aware Pedestrian-Vehicle Incident Reasoning Framework with Vision-Language Models. CoRR Hao Zhen, Yunxiang Yang, Jidong J. Yang
2025	J	`jnl`	Tab-Text: Bridging tabular data and natural language for enhanced traffic safety analysis and modeling. Expert Syst. Appl. Hao Zhen, Jidong J. Yang
2024	J	`jnl`	An Information Gradient Approach to Optimizing Traffic Sensor Placement in Statewide Networks. Inf. Yunxiang Yang, Hao Zhen, Jidong J. Yang
2024	J	`jnl`	Enhancing Nighttime Vehicle Detection with Day-to-Night Style Transfer and Labeling-Free Augmentation. CoRR Yunxiang Yang, Hao Zhen, Yongcan Huang, Jidong J. Yang
2024	J	`jnl`	Feature Group Tabular Transformer: A Novel Approach to Traffic Crash Modeling and Causality Analysis. CoRR Oscar Lares, Hao Zhen, Jidong J. Yang
2024	J	`jnl`	Leveraging Large Language Models with Chain-of-Thought and Prompt Engineering for Traffic Crash Severity Analysis and Inference. Comput. Hao Zhen, Yucheng Shi, Yongcan Huang, Jidong J. Yang, Ninghao Liu
2024	J	`jnl`	Leveraging Large Language Models with Chain-of-Thought and Prompt Engineering for Traffic Crash Severity Analysis and Inference. CoRR Hao Zhen, Yucheng Shi, Yongcan Huang, Jidong J. Yang, Ninghao Liu
2022	J	`jnl`	Co-supervised learning paradigm with conditional generative adversarial networks for sample-efficient classification. CoRR Hao Zhen, Yucheng Shi, Jidong J. Yang, Javad Mohammadpour Vehni
2022	J	`jnl`	Eco-driving Trajectory Planning of a Heterogeneous Platoon in Urban Environments. CoRR Hao Zhen, Sahand Mosharafian, Jidong J. Yang, Javad Mohammadpour Velni
2022	J	`jnl`	VREFL: Verifiable and Reconnection-Efficient Federated Learning in IoT scenarios. J. Netw. Comput. Appl. Heng Ye, Jiqiang Liu, Hao Zhen, Wenbin Jiang, Bin Wang, Wei Wang
2021	J	`jnl`	Internet of Things Framework in Athletics Physical Teaching System and Health Monitoring. Int. J. Artif. Intell. Tools Hao Zhen, Priyan Malarvizhi Kumar, R. Dinesh Jackson Samuel
2020	—	`conf`	Association Rule Mining with Differential Privacy. DSN Workshops Hao Zhen, Bo-Cheng Chiou, Yao-Tung Tsou, Sy-Yen Kuo, Pang-Chieh Wang
2020	J	`jnl`	DPARM: Differentially Private Association Rules Mining. IEEE Access Yao-Tung Tsou, Hao Zhen, Xiyu Jiang, Yennun Huang, Sy-Yen Kuo
2020	J	`jnl`	SPARR: Spintronics-based private aggregatable randomized response for crowdsourced data collection and analysis. Comput. Commun. Yao-Tung Tsou, Hao Zhen, Sy-Yen Kuo, Ching-Ray Chang, Akio Fukushima, Bor-Doou Rong
2019	—	`conf`	Analysis of Factors Affecting Construction Cost of Line Engineering and Cost Control Strategy. CSIA Chen Wu, Bing-Jie Li, Qian Ma, Yin Wu, Hong-Da Zhao, Dong-Xiao Niu, Hao Zhen, Zhuoya Siqin