Haozhu Wang

According to our database, Haozhu Wang authored at least 17 papers between 2009 and 2025.

Collaborative distances:

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

2025

Collaborative LLM Numerical Reasoning with Local Data Protection.

Min Zhang, Yuzhe Lu, Yun Zhou, Panpan Xu, Lin Lee Cheong, Chang-Tien Lu, Haozhu Wang

CoRR, April, 2025

A Systematic Survey of Automatic Prompt Optimization Techniques.

Kiran Ramnath, Kang Zhou, Sheng Guan, Soumya Smruti Mishra, Xuan Qi, Zhengyuan Shen, Shuai Wang, Sangmin Woo, Sullam Jeoung, Yawei Wang, Haozhu Wang, Han Ding, Yuzhe Lu, Zhichao Xu, Yun Zhou, Balasubramaniam Srinivasan, Qiaojing Yan, Yueyan Chen, Haibo Ding, Panpan Xu, Lin Lee Cheong

CoRR, February, 2025

Hierarchical Prompt Decision Transformer: Improving Few-Shot Policy Generalization with Global and Adaptive Guidance.

Zhe Wang, Haozhu Wang, Yanjun Qi

Proceedings of the Companion Proceedings of the ACM on Web Conference 2025, 2025

2024

A review of reinforcement learning for natural language processing and applications in healthcare.

Ying Liu, Haozhu Wang, Huixue Zhou, Mingchen Li, Yu Hou, Sicheng Zhou, Fang Wang, Rama Hoetzlein, Rui Zhang

J. Am. Medical Informatics Assoc., 2024

LaRS: Latent Reasoning Skills for Chain-of-Thought Reasoning.

Zifan Xu, Haozhu Wang, Dmitriy Bespalov, Xian Wu, Peter Stone, Yanjun Qi

Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2024, 2024

Graph Neural Prompting with Large Language Models.

Yijun Tian, Huan Song, Zichen Wang, Haozhu Wang, Ziqing Hu, Fang Wang, Nitesh V. Chawla, Panpan Xu

Proceedings of the Thirty-Eighth AAAI Conference on Artificial Intelligence, 2024

2023

Latent Skill Discovery for Chain-of-Thought Reasoning.

Zifan Xu, Haozhu Wang, Dmitriy Bespalov, Peter Stone, Yanjun Qi

CoRR, 2023

OL-Transformer: A Fast and Universal Surrogate Simulator for Optical Multilayer Thin Film Structures.

Taigao Ma, Haozhu Wang, L. Jay Guo

CoRR, 2023

OptoGPT: A Foundation Model for Inverse Design in Optical Multilayer Thin Film Structures.

Taigao Ma, Haozhu Wang, L. Jay Guo

CoRR, 2023

A Pixel-Level Segmentation Method for Water Surface Reflection Detection.

Qiwen Wu, Xiang Zheng, Jianhua Wang, Haozhu Wang, Wenbo Che

Proceedings of the Pattern Recognition and Computer Vision - 6th Chinese Conference, 2023

2022

Coal Wall Spalling Mechanism and Grouting Reinforcement Technology of Large Mining Height Working Face.

Hongtao Liu, Yang Chen, Zijun Han, Qinyu Liu, Zilong Luo, Wencong Cheng, Hongkai Zhang, Shizhu Qiu, Haozhu Wang

Sensors, 2022

Dynamic prediction of work status for workers with occupational injuries: assessing the value of longitudinal observations.

Erkin Ötles, Jon Seymour, Haozhu Wang, Brian T. Denton

J. Am. Medical Informatics Assoc., 2022

2021

Automated multi-layer optical design via deep reinforcement learning.

Haozhu Wang, Zeyu Zheng, Chengang Ji, L. Jay Guo

Mach. Learn. Sci. Technol., 2021

2020

Automated Optical Multi-layer Design via Deep Reinforcement Learning.

Haozhu Wang, Zeyu Zheng, Chengang Ji, L. Jay Guo

CoRR, 2020

2018

Learning Credible Models.

Jiaxuan Wang, Jeeheh Oh, Haozhu Wang, Jenna Wiens

Proceedings of the 24th ACM SIGKDD International Conference on Knowledge Discovery & Data Mining, 2018

Learning to Share: simultaneous parameter tying and Sparsification in Deep Learning.

Dejiao Zhang, Haozhu Wang, Mário A. T. Figueiredo, Laura Balzano

Proceedings of the 6th International Conference on Learning Representations, 2018

2009

Genomic Comparison of Bacterial Species Based on Metabolic Characteristics.

Gaurav Jain, Haozhu Wang, Li Liao, E. Fidelma Boyd

Proceedings of the International Joint Conferences on Bioinformatics, 2009