Haozhu Wang

According to our database, Haozhu Wang authored at least 13 papers between 2009 and 2024.

Collaborative distances:

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

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

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

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