Penglei Gao - RankMe

20 papers Journal 15Unranked 5

Year	Rank	Type	Title / Venue / Authors
2026	—	`conf`	GAST: Gradient-aligned Sparse Tuning of Large Language Models with Data-layer Selection. EACL (Volume 1: Long Papers) Kai Yao, Zhenghan Song, Kaixin Wu, Mingjie Zhong, Danzhao Cheng, Zhaorui Tan, Yixin Ji, Penglei Gao
2026	J	`jnl`	GAST: Gradient-aligned Sparse Tuning of Large Language Models with Data-layer Selection. CoRR Kai Yao, Zhenghan Song, Kaixin Wu, Mingjie Zhong, Danzhao Cheng, Zhaorui Tan, Yixin Ji, Penglei Gao
2026	J	`jnl`	Lena-TRNN: Exploring energy flow for time series prediction. Neural Networks Penglei Gao, Rui Zhang, Xi Yang, Zhuang Qian, Kaizhu Huang
2025	J	`jnl`	Deep Survival Analysis for Competing Risk Modeling with Functional Covariates and Missing Data Imputation. CoRR Penglei Gao, Yan Zou, Abhijit Duggal, Shuaiqi Huang, Faming Liang, Xiaofeng Wang
2025	—	`conf`	GradOT: Training-free Gradient-preserving Offsite-tuning for Large Language Models. ACL (1) Kai Yao, Zhaorui Tan, Penglei Gao, Lichun Li, Kaixin Wu, Yinggui Wang, Yuan Zhao, Yixin Ji, Jianke Zhu, Wei Wang
2025	J	`jnl`	GradOT: Training-free Gradient-preserving Offsite-tuning for Large Language Models. CoRR Kai Yao, Zhaorui Tan, Penglei Gao, Lichun Li, Kaixin Wu, Yinggui Wang, Yuan Zhao, Yixin Ji, Wei Wang, Jianke Zhu
2025	J	`jnl`	MultiFinBen: A Multilingual, Multimodal, and Difficulty-Aware Benchmark for Financial LLM Evaluation. CoRR 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
2025	—	`conf`	Stock Price Prediction with Attention-Based Framework by Integrating LLM-Generated Features. ICONIP (5) Yining Sun, Penglei Gao, Yuyao Yan, Xi Yang
2024	J	`jnl`	Continuous Image Outpainting with Neural ODE. ACM Trans. Multim. Comput. Commun. Appl. Penglei Gao, Xi Yang, Rui Zhang, Kaizhu Huang
2024	J	`jnl`	EgPDE-Net: Building Continuous Neural Networks for Time Series Prediction With Exogenous Variables. IEEE Trans. Cybern. Penglei Gao, Xi Yang, Rui Zhang, Ping Guo, John Yannis Goulermas, Kaizhu Huang
2024	—	`conf`	Layer-wise Importance Matters: Less Memory for Better Performance in Parameter-efficient Fine-tuning of Large Language Models. EMNLP (Findings) Kai Yao, Penglei Gao, Lichun Li, Yuan Zhao, Xiaofeng Wang, Wei Wang, Jianke Zhu
2024	J	`jnl`	Layer-wise Importance Matters: Less Memory for Better Performance in Parameter-efficient Fine-tuning of Large Language Models. CoRR Kai Yao, Penglei Gao, Lichun Li, Yuan Zhao, Xiaofeng Wang, Wei Wang, Jianke Zhu
2024	J	`jnl`	OPa-Ma: Text Guided Mamba for 360-degree Image Out-painting. CoRR Penglei Gao, Kai Yao, Tiandi Ye, Steven Wang, Yuan Yao, Xiaofeng Wang
2023	J	`jnl`	Explainable Tensorized Neural Ordinary Differential Equations for Arbitrary-Step Time Series Prediction. IEEE Trans. Knowl. Data Eng. Penglei Gao, Xi Yang, Rui Zhang, Kaizhu Huang, John Yannis Goulermas
2023	J	`jnl`	Generalized image outpainting with U-transformer. Neural Networks Penglei Gao, Xi Yang, Rui Zhang, John Yannis Goulermas, Yujie Geng, Yuyao Yan, Kaizhu Huang
2022	J	`jnl`	EgPDE-Net: Building Continuous Neural Networks for Time Series Prediction with Exogenous Variables. CoRR Penglei Gao, Xi Yang, Kaizhu Huang, Rui Zhang, Ping Guo, John Yannis Goulermas
2022	J	`jnl`	Generalised Image Outpainting with U-Transformer. CoRR Penglei Gao, Xi Yang, Rui Zhang, Kaizhu Huang, Yujie Geng
2022	—	`conf`	Outpainting by Queries. ECCV (23) Kai Yao, Penglei Gao, Xi Yang, Jie Sun, Rui Zhang, Kaizhu Huang
2022	J	`jnl`	Outpainting by Queries. CoRR Kai Yao, Penglei Gao, Xi Yang, Kaizhu Huang, Jie Sun, Rui Zhang
2020	J	`jnl`	Explainable Tensorized Neural Ordinary Differential Equations forArbitrary-step Time Series Prediction. CoRR Penglei Gao, Xi Yang, Rui Zhang, Kaizhu Huang