Explainable Tensorized Neural Ordinary Differential Equations forArbitrary-step Time Series Prediction. - Penglei Gao; Xi Yang 008; Rui Zhang 012; Kaizhu Huang (CoRR, 2020)

Outpainting by Queries. - Kai Yao; Penglei Gao; Xi Yang 008; Jie Sun 024; Rui Zhang 012; Kaizhu Huang (ECCV (23), 2022)

Generalised Image Outpainting with U-Transformer. - Penglei Gao; Xi Yang 008; Rui Zhang 012; Kaizhu Huang; Yujie Geng (CoRR, 2022)

Generalized image outpainting with U-transformer. - Penglei Gao; Xi Yang 008; Rui Zhang 012; John Yannis Goulermas; Yujie Geng; Yuyao Yan; Kaizhu Huang (Neural Networks, 2023)

Explainable Tensorized Neural Ordinary Differential Equations for Arbitrary-Step Time Series Prediction. - Penglei Gao; Xi Yang 008; Rui Zhang 012; Kaizhu Huang; John Yannis Goulermas (IEEE Trans. Knowl. Data Eng., 2023)

Layer-wise Importance Matters: Less Memory for Better Performance in Parameter-efficient Fine-tuning of Large Language Models. - Kai Yao; Penglei Gao; Lichun Li; Yuan Zhao; Xiaofeng Wang 007; Wei Wang 002; Jianke Zhu (EMNLP (Findings), 2024)

OPa-Ma: Text Guided Mamba for 360-degree Image Out-painting. - Penglei Gao; Kai Yao; Tiandi Ye; Steven Wang; Yuan Yao; Xiaofeng Wang (CoRR, 2024)

Continuous Image Outpainting with Neural ODE. - Penglei Gao; Xi Yang 008; Rui Zhang 012; Kaizhu Huang (ACM Trans. Multim. Comput. Commun. Appl., 2024)

EgPDE-Net: Building Continuous Neural Networks for Time Series Prediction With Exogenous Variables. - Penglei Gao; Xi Yang 008; Rui Zhang 012; Ping Guo 002; John Yannis Goulermas; Kaizhu Huang (IEEE Trans. Cybern., 2024)

GradOT: Training-free Gradient-preserving Offsite-tuning for Large Language Models. - Kai Yao; Zhaorui Tan; Penglei Gao; Lichun Li; Kaixin Wu; Yinggui Wang; Yuan Zhao; Yixin Ji; Jianke Zhu; Wei Wang 002 (ACL (1), 2025)

MultiFinBen: A Multilingual, Multimodal, and Difficulty-Aware Benchmark for Financial LLM Evaluation. - Xueqing Peng; Lingfei Qian; Yan Wang; Ruoyu Xiang; Yueru He; Yang Ren; Mingyang Jiang; Jeff Zhao; Huan He; Yi Han; Yun Feng; Yuechen Jiang; et al. (CoRR, 2025)