Yibo Zhong

According to our database, Yibo Zhong authored at least 10 papers between 2024 and 2026.

Collaborative distances:

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

2026

SpikingBrain2.0: Brain-Inspired Foundation Models for Efficient Long-Context and Cross-Platform Inference.

Yuqi Pan, Jinghao Zhuang, Yupeng Feng, Fangzhi Zhong, Siyu Ding, Xuerui Qiu, Shaowei Gu, Bohan Sun, Zhiyong Qin, Yibo Zhong, Lingtao Ouyang, Kun Yang, Zehao Liu, Yuhong Chou, Shurong Wang, Anjie Hu, Han Xu, Bo Xu, Guoqi Li

CoRR, April, 2026

PEANuT: Parameter-Efficient Adaptation with Weight-aware Neural Tweakers.

Yibo Zhong, Haoxiang Jiang, Lincan Li, Ryumei Nakada, Tianci Liu, Linjun Zhang, Huaxiu Yao, Haoyu Wang

Proceedings of the 32nd ACM SIGKDD Conference on Knowledge Discovery and Data Mining V.1, 2026

2025

ENA: Efficient N-dimensional Attention.

Yibo Zhong

CoRR, August, 2025

Rethinking Low-Rank Adaptation in Vision: Exploring Head-Level Responsiveness across Diverse Tasks.

Yibo Zhong, Yao Zhou

Proceedings of the IEEE/CVF Winter Conference on Applications of Computer Vision, 2025

Low-Rank Interconnected Adaptation across Layers.

Yibo Zhong, Jinman Zhao, Yao Zhou

Proceedings of the Findings of the Association for Computational Linguistics, 2025

UORA: Uniform Orthogonal Reinitialization Adaptation in Parameter Efficient Fine-Tuning of Large Models.

Xueyan Zhang, Jinman Zhao, Zhifei Yang, Yibo Zhong, Shuhao Guan, Linbo Cao, Yining Wang

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

2024

NEAT: Nonlinear Parameter-efficient Adaptation of Pre-trained Models.

Yibo Zhong, Haoxiang Jiang, Lincan Li, Ryumei Nakada, Tianci Liu, Linjun Zhang, Huaxiu Yao, Haoyu Wang

CoRR, 2024

Pear: Pruning and Sharing Adapters in Visual Parameter-Efficient Fine-Tuning.

Yibo Zhong, Yao Zhou

CoRR, 2024

Low-Rank Interconnected Adaptation Across Layers.

Yibo Zhong, Yao Zhou

CoRR, 2024

HEAT: Head-level Parameter Efficient Adaptation of Vision Transformers with Taylor-expansion Importance Scores.

Yibo Zhong, Yao Zhou

CoRR, 2024