Penglei Gao

According to our database, Penglei Gao authored at least 15 papers between 2020 and 2026.

Collaborative distances:

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

2026

Lena-TRNN: Exploring energy flow for time series prediction.

Penglei Gao, Rui Zhang, Xi Yang, Zhuang Qian, Kaizhu Huang

Neural Networks, 2026

GAST: Gradient-aligned Sparse Tuning of Large Language Models with Data-layer Selection.

Kai Yao, Zhenghan Song, Kaixin Wu, Mingjie Zhong, Danzhao Cheng, Zhaorui Tan, Yixin Ji, Penglei Gao

Proceedings of the 19th Conference of the European Chapter of the Association for Computational Linguistics, 2026

2025

Deep Survival Analysis for Competing Risk Modeling with Functional Covariates and Missing Data Imputation.

Penglei Gao, Yan Zou, Abhijit Duggal, Shuaiqi Huang, Faming Liang, Xiaofeng Wang

CoRR, September, 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, Yupeng Cao, Haohang Li, Yangyang Yu, Xiaoyu Wang, Penglei Gao, Shengyuan Lin, Keyi Wang, Shanshan Yang, Yilun Zhao, Zhiwei Liu, Peng Lu, Jerry Huang, Suyuchen Wang, Triantafillos Papadopoulos, Polydoros Giannouris, Efstathia Soufleri, Nuo Chen, Guojun Xiong, Zhiyang Deng, Yijia Zhao, Mingquan Lin, Meikang Qiu, Kaleb E. Smith, Arman Cohan, Xiao-Yang Liu, Jimin Huang, Alejandro Lopez-Lira, Xi Chen, Junichi Tsujii, Jian-Yun Nie, Sophia Ananiadou, Qianqian Xie

CoRR, June, 2025

Stock Price Prediction with Attention-Based Framework by Integrating LLM-Generated Features.

Yining Sun, Penglei Gao, Yuyao Yan, Xi Yang

Proceedings of the Neural Information Processing - 32nd International Conference, 2025

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

Proceedings of the 63rd Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2025

2024

EgPDE-Net: Building Continuous Neural Networks for Time Series Prediction With Exogenous Variables.

Penglei Gao, Xi Yang, Rui Zhang, Ping Guo, John Yannis Goulermas, Kaizhu Huang

IEEE Trans. Cybern., September, 2024

Continuous Image Outpainting with Neural ODE.

Penglei Gao, Xi Yang, Rui Zhang, Kaizhu Huang

ACM Trans. Multim. Comput. Commun. Appl., July, 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

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, Wei Wang, Jianke Zhu

Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2024, 2024

2023

Explainable Tensorized Neural Ordinary Differential Equations for Arbitrary-Step Time Series Prediction.

Penglei Gao, Xi Yang, Rui Zhang, Kaizhu Huang, John Yannis Goulermas

IEEE Trans. Knowl. Data Eng., June, 2023

Generalized image outpainting with U-transformer.

Penglei Gao, Xi Yang, Rui Zhang, John Yannis Goulermas, Yujie Geng, Yuyao Yan, Kaizhu Huang

Neural Networks, May, 2023

2022

Generalised Image Outpainting with U-Transformer.

Penglei Gao, Xi Yang, Rui Zhang, Kaizhu Huang, Yujie Geng

CoRR, 2022

Outpainting by Queries.

Kai Yao, Penglei Gao, Xi Yang, Jie Sun, Rui Zhang, Kaizhu Huang

Proceedings of the Computer Vision - ECCV 2022, 2022

2020

Explainable Tensorized Neural Ordinary Differential Equations forArbitrary-step Time Series Prediction.

Penglei Gao, Xi Yang, Rui Zhang, Kaizhu Huang

CoRR, 2020