Modify Self-Attention via Skeleton Decomposition for Effective Point Cloud Transformer. - Jiayi Han; Longbin Zeng; Liang Du 004; Xiaoqing Ye; Weiyang Ding; Jianfeng Feng (AAAI, 2022)

A Survey of Metrics to Enhance Training Dependability in Large Language Models. - Wenyi Fang; Hao Zhang; Ziyu Gong; Longbin Zeng; Xuhui Lu; Biao Liu; Xiaoyu Wu; Yang Zheng; Zheng Hu; Xun Zhang (ISSREW, 2023)

Rethinking Precision of Pseudo Label: Test-Time Adaptation via Complementary Learning. - Jiayi Han; Longbin Zeng; Liang Du 004; Weiyang Ding; Jianfeng Feng (CoRR, 2023)

Digital Twin Brain: a simulation and assimilation platform for whole human brain. - Wenlian Lu; Longbin Zeng; Xin Du 002; Wenyong Zhang; Shitong Xiang; Huarui Wang; Jiexiang Wang; Mingda Ji; Yubo Hou; Minglong Wang; Yuhao Liu; Zhongyu Chen; et al. (CoRR, 2023)

DTBVis: An interactive visual comparison system for digital twin brain and human brain. - Yuxiao Li 002; Xinhong Li; Siqi Shen; Longbin Zeng; Richen Liu; Qibao Zheng; Jianfeng Feng; Siming Chen 001 (Vis. Informatics, 2023)

Rethinking precision of pseudo label: Test-time adaptation via complementary learning. - Longbin Zeng; Jiayi Han; Liang Du 004; Weiyang Ding (Pattern Recognit. Lett., 2024)

Simulation and assimilation of the digital human brain. - Wenlian Lu; Xin Du 002; Jiexiang Wang; Longbin Zeng; Leijun Ye; Shitong Xiang; Qibao Zheng; Jie Zhang 012; Ningsheng Xu; Jianfeng Feng (Nat. Comput. Sci., 2024)

Numerical Error Analysis of Large Language Models. - Stanislav Budzinskiy; Wenyi Fang; Longbin Zeng; Philipp Petersen (CoRR, 2025)