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)

Accelerator for multi-granularity attribute reduction. - Zehua Jiang; Xibei Yang; Hualong Yu; Dun Liu; Pingxin Wang; Yuhua Qian (Knowl. Based Syst., 2019)

Supervised Neighborhood Based Ensemble Attribute Reduction. - Jingjing Song; Zehua Jiang; Huili Dou; Eric C. C. Tsang (ICMLC, 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)

A Novel Emotion Lexicon for Chinese Emotional Expression Analysis on Weibo: Using Grounded Theory and Semi-Automatic Methods. - Liang Xu 013; Linjian Li; Zehua Jiang; Zaoyi Sun; Xin Wen; Jiaming Shi; Rui Sun; Xiuying Qian (IEEE Access, 2021)

Data-guided multi-granularity selector for attribute reduction. - Zehua Jiang; Huili Dou; Jingjing Song; Pingxin Wang; Xibei Yang; Yuhua Qian (Appl. Intell., 2021)

Accelerator for crosswise computing reduct. - Zehua Jiang; Keyu Liu; Jingjing Song; Xibei Yang; Jinhai Li; Yuhua Qian (Appl. Soft Comput., 2021)

Diversity and Novelty MasterPrints: Generating Multiple DeepMasterPrints for Increased User Coverage. - M Charity; Nasir D. Memon; Zehua Jiang; Abhi Sen; Julian Togelius (BIOSIG, 2022)

Learning Controllable 3D Level Generators. - Zehua Jiang; Sam Earle; Michael Cerny Green; Julian Togelius (FDG, 2022)

Controllable Path of Destruction. - Matthew Siper; Sam Earle; Zehua Jiang; Ahmed Khalifa 001; Julian Togelius (CoG, 2023)

Scaling, Control and Generalization in Reinforcement Learning Level Generators. - Sam Earle; Zehua Jiang; Julian Togelius (CoG, 2024)

Alpha-Wolves and Alpha-mammals: Exploring Dictionary Attacks on Iris Recognition Systems. - Sudipta Banerjee; Anubhav Jain 002; Zehua Jiang; Nasir D. Memon; Julian Togelius; Arun Ross (WACV (Workshops), 2024)

Common and Rare Fundus Diseases Identification Using Vision-Language Foundation Model with Knowledge of Over 400 Diseases. - Meng Wang 038; Tian Lin; Aidi Lin; Kai Yu 009; Yuanyuan Peng; Lianyu Wang; Cheng Chen 013; Ke Zou; Huiyu Liang; Man Chen; Xue Yao; Meiqin Zhang; et al. (CoRR, 2024)

PCGRL+: Scaling, Control and Generalization in Reinforcement Learning Level Generators. - Sam Earle; Zehua Jiang; Julian Togelius (CoRR, 2024)

ScriptDoctor: Automatic Generation of PuzzleScript Games via Large Language Models and Tree Search. - Sam Earle; Ahmed Khalifa 001; Muhammad Umair Nasir; Zehua Jiang; Graham Todd; Andrzej Banburski-Fahey; Julian Togelius (CoG, 2025)

PCGRLLM: Large Language Model-Driven Reward Design for Procedural Content Generation Reinforcement Learning. - In-Chang Baek; Sung-Hyun Kim; Sam Earle; Zehua Jiang; Jinha Noh; Julian Togelius; Kyung-Joong Kim 001 (CoRR, 2025)

Visual-language foundation models in medicine. - Chunyu Liu; Yixiao Jin; Zhouyu Guan; Tingyao Li; Yiming Qin; Bo Qian; Zehua Jiang; Yilan Wu; Xiangning Wang; Ying Feng Zheng; Dian Zeng (Vis. Comput., 2025)

Assistance of Artificial Intelligence in Diagnosis of Vitreoretinal Lymphoma on Optical Coherence Tomography. - Aidi Lin; Yuanyuan Peng; Tian Lin; Jun Dai; Jizhu Li; Tingkun Shi; Xixuan Ke; Xulong Liao; Danqi Fang; Man Chen; Huiyu Liang; Shirong Chen; et al. (Adv. Intell. Syst., 2025)

Enhancing Player Enjoyment with a Two-Tier DRL and LLM-Based Agent System for Fighting Games. - Shouren Wang; Zehua Jiang; Fernando Sliva; Sam Earle; Julian Togelius (CoRR, 2025)

DeepTelecom: A Digital-Twin Deep Learning Dataset for Channel and MIMO Applications. - Bohao Wang; Zehua Jiang; Zhenyu Yang; Chongwen Huang; Yongliang Shen; Siming Jiang; Chen Zhu; Zhaohui Yang 001; Richeng Jin; Zhaoxiang Zhang 001; Sami Muhaidat; Mérouane Debbah (CoRR, 2025)

A visual-language foundation model for disease diagnosis and doctor-patient co-decision. - Yuanqi Yao; Zehua Jiang; Zhouyu Guan; Yilun Luxue; Seungmin Lee; Xiang Chen; Haodong Yang; Yiming Qin (Vis. Comput., 2025)