Multi-objective immune genetic algorithm solving nonlinear interval-valued programming. - Zhuhong Zhang; Xiaoxia Wang; Jiaxuan Lu (Eng. Appl. Artif. Intell., 2018)

Adaptive racing ranking-based immune optimization approach solving multi-objective expected value programming. - Kai Yang; Zhuhong Zhang; Jiaxuan Lu (Soft Comput., 2018)

A New Topology Control Algorithm in Software Defined Wireless Rechargeable Sensor Networks. - Ruoyu Huang; Ying Dong 001; Guangjiu Bao; Yuhong Liu; Ming Wei; Jiaxuan Lu; Yuxin Huo (IEEE Access, 2021)

Gradient-based fly immune visual recurrent neural network solving large-scale global optimization. - Zhuhong Zhang; Lun Li; Jiaxuan Lu (Neurocomputing, 2021)

Artificial fly visual joint perception neural network inspired by multiple-regional collision detection. - Lun Li; Zhuhong Zhang; Jiaxuan Lu (Neural Networks, 2021)

Immersive Text Game and Personality Classification. - Wanshui Li; Yifan Bai; Jiaxuan Lu; Kexin Yi (CoRR, 2022)

An Efficient Fault Injection Algorithm for Identifying Unimportant FFs in Approximate Computing Circuits. - Jiaxuan Lu; Yutaka Masuda; Tohru Ishihara (DATE, 2023)

Panoramic Motion Perception Inspired Fly Visual Brain Joint Neural Network on Omnidirectional Collision Detection. - Lun Li; Zhuhong Zhang; Wensheng Jia; Jiaxuan Lu (Int. J. Intell. Syst., 2023)

Exploring High-Order Spatio-Temporal Correlations From Skeleton for Person Re-Identification. - Jiaxuan Lu; Hai Wan; Peiyan Li; Xibin Zhao; Nan Ma; Yue Gao 002 (IEEE Trans. Image Process., 2023)

Action Recognition and Benchmark Using Event Cameras. - Yue Gao 002; Jiaxuan Lu; Siqi Li 001; Nan Ma; Shaoyi Du; Yipeng Li; Qionghai Dai (IEEE Trans. Pattern Anal. Mach. Intell., 2023)

PathoTune: Adapting Visual Foundation Model to Pathological Specialists. - Jiaxuan Lu; Fang Yan 002; Xiaofan Zhang 002; Yue Gao 002; Shaoting Zhang 001 (MICCAI (4), 2024)

Event USKT : U-State Space Model in Knowledge Transfer for Event Cameras. - Yuhui Lin; Jiahao Zhang; Siyuan Li; Jimin Xiao; Ding Xu; Wenjun Wu; Jiaxuan Lu (CoRR, 2024)

Multiobjective visual evolutionary neural network and related convolutional neural network optimization. - Zhuhong Zhang; Lun Li; Jiaxuan Lu (Expert Syst. Appl., 2024)

Identification of Redundant Flip-Flops Using Fault Injection for Low-Power Approximate Computing Circuits. - Jiaxuan Lu; Yutaka Masuda; Tohru Ishihara (IEICE Trans. Fundam. Electron. Commun. Comput. Sci., 2024)

Integration of 6G Signal Processing, Communication, and Computing Based on Information Timeliness-Aware Digital Twin. - Haijun Liao; Jiaxuan Lu; Yiling Shu; Zhenyu Zhou 001; Muhammad Tariq; Shahid Mumtaz (IEEE J. Sel. Top. Signal Process., 2024)

Hypergraph-Based Multi-View Action Recognition Using Event Cameras. - Yue Gao 002; Jiaxuan Lu; Siqi Li 001; Yipeng Li; Shaoyi Du (IEEE Trans. Pattern Anal. Mach. Intell., 2024)

PolarNeXt: Rethink Instance Segmentation with Polar Representation. - Jiacheng Sun; Xinghong Zhou; Yiqiang Wu; Bin Zhu; Jiaxuan Lu; Yu Qin; Xiaomao Li (CVPR, 2025)

Random k conditional nearest neighbor for high-dimensional data. - Jiaxuan Lu; Hyukjun Gweon (PeerJ Comput. Sci., 2025)

MV-GMN: State Space Model for Multi-View Action Recognition. - Yuhui Lin; Jiaxuan Lu; Yue Yong; Jiahao Zhang (CoRR, 2025)

Information Timeliness Aware Multispectral Integrated Sensing, Communication, and Computing for High-Voltage Discharge Detection. - Haijun Liao; Zijia Yao; Jiaxuan Lu; Yiling Shu; Zhenyu Zhou 001; Shahid Mumtaz (IEEE Trans. Commun., 2025)

PathOrchestra: A Comprehensive Foundation Model for Computational Pathology with Over 100 Diverse Clinical-Grade Tasks. - Fang Yan 002; Jianfeng Wu; Jiawen Li 005; Wei Wang 057; Jiaxuan Lu; Wen Chen 001; Zizhao Gao; Jianan Li; Hong Yan; Jiabo Ma; Minda Chen; Yang Lu 009; et al. (CoRR, 2025)

Graph Mamba for Efficient Whole Slide Image Understanding. - Jiaxuan Lu; Junyan Shi; Yuhui Lin; Fang Yan 002; Yue Gao 002; Shaoting Zhang 001; Xiaosong Wang 001 (CoRR, 2025)

HyDRA: A Hybrid Dual-Mode Network for Closed- and Open-Set RFFI with Optimized VMD. - Hanwen Liu; Yuhe Huang; Yifeng Gong; Yanjie Zhai; Jiaxuan Lu (CoRR, 2025)

MSGM: A Multi-Scale Spatiotemporal Graph Mamba for EEG Emotion Recognition. - Hanwen Liu; Yifeng Gong; Zuwei Yan; Zeheng Zhuang; Jiaxuan Lu (CoRR, 2025)

Multi-modal parameter-efficient fine-tuning via graph neural network. - Bin Cheng; Jiaxuan Lu (Appl. Intell., 2025)

A nearest neighbor-based approach for improving the reliability of multiclass probabilistic classifiers. - Hyukjun Gweon; Jiaxuan Lu (Int. J. Data Sci. Anal., 2025)