A New Sequence Pattern Search Algorithm N-OPS. - Guanghao Li; Tadashi Ohmori; Mamoru Hoshi; Yoshinobu Yamashita (ICDE Workshops, 2005)

Automated Reliability Assessment of On-orbit Satellite Battery Pack Based on UML. - Pidong Wang; Lefei Li; Guanghao Li; Hongyi Li; Zongren Wang (ICSRS, 2019)

Multi-omics Analysis of Primary Cell Culture Models Reveals Genetic and Epigenetic Basis of Intratumoral Phenotypic Diversity. - Sixue Liu; Zuyu Yang; Guanghao Li; Chunyan Li; Yanting Luo; Qiang Gong; Xin Wu; Tao Li; Zhiqian Zhang; Baocai Xing; Xiaolan Xu; Xuemei Lu (Genom. Proteom. Bioinform., 2019)

A Systematic Literature Review on Federated Learning: From A Model Quality Perspective. - Yi Liu; Li Zhang 029; Ning Ge 002; Guanghao Li (CoRR, 2020)

FedHiSyn: A Hierarchical Synchronous Federated Learning Framework for Resource and Data Heterogeneity. - Guanghao Li; Yue Hu; Miao Zhang; Ji Liu 003; Quanjun Yin; Yong Peng 006; Dejing Dou (ICPP, 2022)

FedGosp: A Novel Framework of Gossip Federated Learning for Data Heterogeneity. - Guanghao Li; Yue Hu; Miao Zhang; Li Li 064; Tao Chang; Quanjun Yin (SMC, 2022)

Failure prediction in production line based on federated learning: an empirical study. - Ning Ge 002; Guanghao Li; Li Zhang 029; Yi Liu (J. Intell. Manuf., 2022)

Analysis of Chinese traditional opera based on the Western music genre classification methods. - Yue Li; Zhengwei Peng; Ying Liufu; Guanghao Li; Huanyan Zhu (HPCC/DSS/SmartCity/DependSys, 2023)

The Research on Ocean Polarized Light Fields at Different Depths for Polarization Navigation. - Haoyuan Cheng; Xiaoqing Guo; Haozhe Bai; Guanghao Li; Chuanyun Su (IEEE Access, 2023)

Subspace based Federated Unlearning. - Guanghao Li; Li Shen 008; Yan Sun; Yue Hu; Han Hu 003; Dacheng Tao (CoRR, 2023)

DFedADMM: Dual Constraints Controlled Model Inconsistency for Decentralized Federated Learning. - Qinglun Li; Li Shen 008; Guanghao Li; Quanjun Yin; Dacheng Tao (CoRR, 2023)

Multi-LIO: A Lightweight Multiple LiDAR-Inertial Odometry System. - Qi Chen 025; Guanghao Li; Xiangyang Xue 001; Jian Pu (ICRA, 2024)

EC-SLAM: Real-time Dense Neural RGB-D SLAM System with Effectively Constrained Global Bundle Adjustment. - Guanghao Li; Qi Chen; YuXiang Yan; Jian Pu (CoRR, 2024)

PAPL-SLAM: Principal Axis-Anchored Monocular Point-Line SLAM. - Guanghao Li; Yu Cao; Qi Chen; Yifan Yang; Jian Pu (CoRR, 2024)

Visual Prompt Based Personalized Federated Learning. - Guanghao Li; Wansen Wu; Yan Sun; Li Shen 008; Baoyuan Wu; Dacheng Tao (Trans. Mach. Learn. Res., 2024)

VPL-SLAM: A Vertical Line Supported Point Line Monocular SLAM System. - Qi Chen 025; Yu Cao; Jiawei Hou; Guanghao Li; Shoumeng Qiu; Bo Chen; Xiangyang Xue 001; Hong Lu 001; Jian Pu (IEEE Trans. Intell. Transp. Syst., 2024)

ComRoPE: Scalable and Robust Rotary Position Embedding Parameterized by Trainable Commuting Angle Matrices. - Hao Yu; Tangyu Jiang; Shuning Jia; Shannan Yan; Shunning Liu; Haolong Qian; Guanghao Li; Shuting Dong; Chun Yuan (CVPR, 2025)

FLOPS: Forward Learning with OPtimal Sampling. - Tao Ren 006; Zishi Zhang; Jinyang Jiang 001; Guanghao Li; Zeliang Zhang; Mingqian Feng; Yijie Peng (ICLR, 2025)

A method for optimizing different geometric shields of D-T neutron generators by combining BP neural network and Analytic Hierarchy Process. - Jiayu Li; Shiwei Jing; Jingfei Cai; Hailong Xu; Pingwei Sun; Yingying Cao; Shangrui Jiang; Shaolei Jia; Zhaohu Lu; Guanghao Li (Comput. Phys. Commun., 2025)

Zeroth-order Informed Fine-Tuning for Diffusion Model: A Recursive Likelihood Ratio Optimizer. - Tao Ren 006; Zishi Zhang; Zehao Li; Jingyang Jiang; Shentao Qin; Guanghao Li; Yan Li; Yi Zheng; Xinping Li; Min Zhan; Yijie Peng (CoRR, 2025)

Zero Token-Driven Deep Thinking in LLMs: Unlocking the Full Potential of Existing Parameters via Cyclic Refinement. - Guanghao Li; Wenhao Jiang; Li Shen; Ming Tang; Chun Yuan (CoRR, 2025)

MIGA: Mutual Information-Guided Attack on Denoising Models for Semantic Manipulation. - Guanghao Li; Mingzhi Chen; Hao Yu; Shuting Dong; Wenhao Jiang; Ming Tang; Chun Yuan (CoRR, 2025)

SCOUT: Teaching Pre-trained Language Models to Enhance Reasoning via Flow Chain-of-Thought. - Guanghao Li; Wenhao Jiang; Mingfeng Chen; Yan Li; Hao Yu; Shuting Dong; Tao Ren; Ming Tang; Chun Yuan (CoRR, 2025)

ComRoPE: Scalable and Robust Rotary Position Embedding Parameterized by Trainable Commuting Angle Matrices. - Hao Yu; Tangyu Jiang; Shuning Jia; Shannan Yan; Shunning Liu; Haolong Qian; Guanghao Li; Shuting Dong; Huaisong Zhang; Chun Yuan (CoRR, 2025)

DFedADMM: Dual Constraint Controlled Model Inconsistency for Decentralize Federated Learning. - Qinglun Li; Li Shen 008; Guanghao Li; Quanjun Yin; Dacheng Tao (IEEE Trans. Pattern Anal. Mach. Intell., 2025)

Prune&Comp: Free Lunch for Layer-Pruned LLMs via Iterative Pruning with Magnitude Compensation. - Xinrui Chen 001; Hongxing Zhang; Fanyi Zeng; Yongxian Wei; Yizhi Wang; Xitong Ling; Guanghao Li; Chun Yuan (CoRR, 2025)

PAPL-SLAM: Principal Axis-Anchored Monocular Point-Line SLAM. - Guanghao Li; Yu Cao; Qi Chen 025; Xin Gao; Yifan Yang; Jian Pu (IEEE Robotics Autom. Lett., 2025)

EC-SLAM: Effectively constrained neural RGB-D SLAM with TSDF hash encoding and joint optimization. - Guanghao Li; Qi Chen 025; Yuxiang Yan; Jian Pu (Pattern Recognit., 2026)