Zehua Jiang

According to our database, Zehua Jiang authored at least 14 papers between 2019 and 2024.

Collaborative distances:

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

2024

PCGRL+: Scaling, Control and Generalization in Reinforcement Learning Level Generators.

Sam Earle, Zehua Jiang, Julian Togelius

CoRR, 2024

Common and Rare Fundus Diseases Identification Using Vision-Language Foundation Model with Knowledge of Over 400 Diseases.

Meng Wang, Tian Lin, Aidi Lin, Kai Yu, Yuanyuan Peng, Lianyu Wang, Cheng Chen, Ke Zou, Huiyu Liang, Man Chen, Xue Yao, Meiqin Zhang, Binwei Huang, Chaoxin Zheng, Peixin Zhang, Wei Chen, Yilong Luo, Yifan Chen, Honghe Xia, Tingkun Shi, Qi Zhang, Jinming Guo, Xiaolin Chen, Jingcheng Wang, Yih Chung Tham, Dianbo Liu, Wendy Wong, Sahil Thakur, Beau Fenner, Danqi Fang, Siying Liu, Qingyun Liu, Yuqiang Huang, Hongqiang Zeng, Yanda Meng, Yukun Zhou, Zehua Jiang, Minghui Qiu, Changqing Zhang, Xinjian Chen, Sophia Y. Wang, Cecilia S. Lee, Lucia Sobrin, Carol Y. Cheung, Chi Pui Pang, Pearse A Keane, Ching-Yu Cheng, Haoyu Chen, Huazhu Fu

CoRR, 2024

Alpha-Wolves and Alpha-mammals: Exploring Dictionary Attacks on Iris Recognition Systems.

Sudipta Banerjee, Anubhav Jain, Zehua Jiang, Nasir D. Memon, Julian Togelius, Arun Ross

Proceedings of the IEEE/CVF Winter Conference on Applications of Computer Vision Workshops, 2024

Scaling, Control and Generalization in Reinforcement Learning Level Generators.

Sam Earle, Zehua Jiang, Julian Togelius

Proceedings of the IEEE Conference on Games, 2024

2023

Controllable Path of Destruction.

Matthew Siper, Sam Earle, Zehua Jiang, Ahmed Khalifa, Julian Togelius

Proceedings of the IEEE Conference on Games, 2023

2022

Learning Controllable 3D Level Generators.

Zehua Jiang, Sam Earle, Michael Cerny Green, Julian Togelius

Proceedings of the FDG '22: Proceedings of the 17th International Conference on the Foundations of Digital Games, 2022

Diversity and Novelty MasterPrints: Generating Multiple DeepMasterPrints for Increased User Coverage.

Megan Charity, Nasir D. Memon, Zehua Jiang, Abhi Sen, Julian Togelius

Proceedings of the 21st International Conference of the Biometrics Special Interest Group, 2022

2021

Accelerator for crosswise computing reduct.

Zehua Jiang, Keyu Liu, Jingjing Song, Xibei Yang, Jinhai Li, Yuhua Qian

Appl. Soft Comput., 2021

Data-guided multi-granularity selector for attribute reduction.

Zehua Jiang, Huili Dou, Jingjing Song, Pingxin Wang, Xibei Yang, Yuhua Qian

Appl. Intell., 2021

A Novel Emotion Lexicon for Chinese Emotional Expression Analysis on Weibo: Using Grounded Theory and Semi-Automatic Methods.

Liang Xu, Linjian Li, Zehua Jiang, Zaoyi Sun, Xin Wen, Jiaming Shi, Rui Sun, Xiuying Qian

IEEE Access, 2021

2020

Accelerator for supervised neighborhood based attribute reduction.

Zehua Jiang, Keyu Liu, Xibei Yang, Hualong Yu, Hamido Fujita, Yuhua Qian

Int. J. Approx. Reason., 2020

Supervised Neighborhood Based Ensemble Attribute Reduction.

Jingjing Song, Zehua Jiang, Huili Dou, Eric C. C. Tsang

Proceedings of the International Conference on Machine Learning and Cybernetics, 2020

2019

Accelerator for multi-granularity attribute reduction.

Zehua Jiang, Xibei Yang, Hualong Yu, Dun Liu, Pingxin Wang, Yuhua Qian

Knowl. Based Syst., 2019

面向多尺度的属性约简加速器 (Multi-scale Based Accelerator for Attribute Reduction).

Zehua Jiang, Yibo Wang, Gang Xu, Xibei Yang, Pingxin Wang

计算机科学, 2019