Meta-Auto-Decoder for Solving Parametric Partial Differential Equations. - Xiang Huang; Zhanhong Ye; Hongsheng Liu 002; Beiji Shi; Zidong Wang 010; Kang Yang; Yang Li 106; Bingya Weng; Min Wang 037; Haotian Chu; Jing Zhou; Fan Yu; et al. (CoRR, 2021)

Meta-Auto-Decoder for Solving Parametric Partial Differential Equations. - Xiang Huang; Zhanhong Ye; Hongsheng Liu 002; Beiji Shi; Zidong Wang 010; Kang Yang; Yang Li 106; Min Wang 037; Haotian Chu; Fan Yu; Bei Hua; Lei Chen 002; et al. (NeurIPS, 2022)

Supervised Contrastive Learning for Multi-Author Writing Style Analysis. - Zhanhong Ye; Changle Zhong; Haoliang Qi; Yong Han (CLEF (Working Notes), 2023)

RFR: Representation-Focused Replay for Overcoming the Catastrophic Forgetting in Lifelong Language Learning. - Zhongyuan Han; Zeyang Peng; Leilei Kong; Zhanhong Ye; Mingjie Huang; Haoliang Qi (SIGIR-AP, 2023)

Meta-Auto-Decoder: A Meta-Learning Based Reduced Order Model for Solving Parametric Partial Differential Equations. - Zhanhong Ye; Xiang Huang; Hongsheng Liu 002; Bin Dong 001 (CoRR, 2023)

Analysis of the Decoder Width for Parametric Partial Differential Equations. - Zhanhong Ye; Hongsheng Liu 002; Zidong Wang 010; Bin Dong 001 (CoRR, 2023)

Miniature Probe for Optomechanical Focus-Adjustable Optical-Resolution Photoacoustic Endoscopy. - Siqi Liang; Jiasheng Zhou; Zhendong Guo; Da He; Wenzhao Yang; Zhanhong Ye; Weihao Shao; Lili Jing; Sung-Liang Chen (IEEE Trans. Medical Imaging, 2023)

Team bingezzzleep at PAN: A Writing Style Change Analysis Model Based on RoBERTa Encoding and Contrastive Learning for Multi-Author Writing Style Analysis. - Qida Wu; Leilei Kong; Zhanhong Ye (CLEF (Working Notes), 2024)

Continual Transfer Learning with Progress Prompt for Multi-Author Writing Style Analysis. - Zhanhong Ye; Yutong Zhong; Chen Huang; Leilei Kong (CLEF (Working Notes), 2024)

Token Prediction as Implicit Classification for Generative AI Authorship Verification. - Zhanhong Ye; Yutong Zhong; Zhen Huang; Leilei Kong (CLEF (Working Notes), 2024)

PDEformer: Towards a Foundation Model for One-Dimensional Partial Differential Equations. - Zhanhong Ye; Xiang Huang; Leheng Chen; Hongsheng Liu 002; Zidong Wang 010; Bin Dong 001 (CoRR, 2024)

PDEformer-1: A Foundation Model for One-Dimensional Partial Differential Equations. - Zhanhong Ye; Xiang Huang; Leheng Chen; Zining Liu; Bingyang Wu; Hongsheng Liu 002; Zidong Wang 010; Bin Dong 001 (CoRR, 2024)

CDEDI: A Conditional Diffusion Based Model for Environmental Data Imputation. - Hegeng Zhang; Zhanhong Ye; Cong Zhang 003; Fan Wu 007 (ISNN, 2025)

Sensing and Reasoning of Water Quality Based on Deep Reinforcement Learning in Complex Watershed. - Zhanhong Ye; Fan Wu 007; Cong Zhang 003; Chi-Tsun Cheng; Wenhao Fan; Bihua Tang; Yuanan Liu (IEEE Internet Things J., 2025)

PDEformer-2: A Versatile Foundation Model for Two-Dimensional Partial Differential Equations. - Zhanhong Ye; Zining Liu; Bingyang Wu; Hongjie Jiang; Leheng Chen; Minyan Zhang; Xiang Huang; Qinghe Meng; Jingyuan Zou; Hongsheng Liu 002; Bin Dong 001 (CoRR, 2025)