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2020 – today
- 2024
[j4]Ying Liu, Haozhu Wang, Huixue Zhou
, Mingchen Li, Yu Hou, Sicheng Zhou, Fang Wang, Rama Hoetzlein, Rui Zhang:
A review of reinforcement learning for natural language processing and applications in healthcare. J. Am. Medical Informatics Assoc. 31(10): 2379-2393 (2024)- [c5]Yijun Tian, Huan Song, Zichen Wang, Haozhu Wang, Ziqing Hu, Fang Wang, Nitesh V. Chawla, Panpan Xu:
Graph Neural Prompting with Large Language Models. AAAI 2024: 19080-19088 - 2023
- [c4]Qiwen Wu, Xiang Zheng, Jianhua Wang, Haozhu Wang, Wenbo Che:
A Pixel-Level Segmentation Method for Water Surface Reflection Detection. PRCV (2) 2023: 493-505 - [i6]Taigao Ma, Haozhu Wang, L. Jay Guo:
OptoGPT: A Foundation Model for Inverse Design in Optical Multilayer Thin Film Structures. CoRR abs/2304.10294 (2023) - [i5]Taigao Ma, Haozhu Wang, L. Jay Guo:
OL-Transformer: A Fast and Universal Surrogate Simulator for Optical Multilayer Thin Film Structures. CoRR abs/2305.11984 (2023) - [i4]Yijun Tian, Huan Song, Zichen Wang, Haozhu Wang, Ziqing Hu, Fang Wang, Nitesh V. Chawla, Panpan Xu:
Graph Neural Prompting with Large Language Models. CoRR abs/2309.15427 (2023) - [i3]Ying Liu, Haozhu Wang, Huixue Zhou, Mingchen Li, Yu Hou, Sicheng Zhou, Fang Wang, Rama Hoetzlein, Rui Zhang:
A Review of Reinforcement Learning for Natural Language Processing, and Applications in Healthcare. CoRR abs/2310.18354 (2023) - [i2]Zifan Xu, Haozhu Wang, Dmitriy Bespalov, Peter Stone, Yanjun Qi:
Latent Skill Discovery for Chain-of-Thought Reasoning. CoRR abs/2312.04684 (2023) - 2022
- [j3]Erkin Ötles, Jon Seymour, Haozhu Wang, Brian T. Denton:
Dynamic prediction of work status for workers with occupational injuries: assessing the value of longitudinal observations. J. Am. Medical Informatics Assoc. 29(11): 1931-1940 (2022) - [j2]Hongtao Liu, Yang Chen, Zijun Han, Qinyu Liu, Zilong Luo, Wencong Cheng, Hongkai Zhang, Shizhu Qiu, Haozhu Wang:
Coal Wall Spalling Mechanism and Grouting Reinforcement Technology of Large Mining Height Working Face. Sensors 22(22): 8675 (2022) - 2021
- [j1]Haozhu Wang, Zeyu Zheng, Chengang Ji, L. Jay Guo:
Automated multi-layer optical design via deep reinforcement learning. Mach. Learn. Sci. Technol. 2(2): 25013 (2021) - 2020
- [i1]Haozhu Wang, Zeyu Zheng, Chengang Ji, L. Jay Guo:
Automated Optical Multi-layer Design via Deep Reinforcement Learning. CoRR abs/2006.11940 (2020)
2010 – 2019
- 2018
- [c3]Dejiao Zhang, Haozhu Wang, Mário A. T. Figueiredo, Laura Balzano:
Learning to Share: simultaneous parameter tying and Sparsification in Deep Learning. ICLR (Poster) 2018 - [c2]Jiaxuan Wang, Jeeheh Oh, Haozhu Wang, Jenna Wiens:
Learning Credible Models. KDD 2018: 2417-2426
2000 – 2009
- 2009
- [c1]Gaurav Jain, Haozhu Wang, Li Liao, E. Fidelma Boyd:
Genomic Comparison of Bacterial Species Based on Metabolic Characteristics. IJCBS 2009: 77-83
Coauthor Index
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