刘贵松｜西南财经大学｜学者主页

2026

SpikeLoRA: Power-efficient low-rank adaptation based on spiking neural network

Ran Tao, Qiugang Zhan, Fangyi Ding, Guisong Liu, Xiurui Xie, Huajin Tang

Neurocomputing

DOI

2026

Traceable Latent Variable Discovery Based on Multi-Agent Collaboration

Huaming Du, Tao Hu, Yijie Huang, Yu Zhao, Guisong Liu, Tao Gu, Gang Kou, Carl Yang

ACM Web Conference (WWW)

DOI

2026

SFedHIFI: Fire Rate-Based Heterogeneous Information Fusion for Spiking Federated Learning

Ran Tao, Qiugang Zhan, Shantian Yang, Xiurui Xie, Qi Tian, Guisong Liu

Proceedings of the AAAI Conference on Artificial Intelligence

DOI

2026

Transferable Graph Condensation from the Causal Perspective

Huaming Du, Yijie Huang, Su Yao, Yiying Wang, Yueyang Zhou, Jingwen Yang, Jinshi Zhang, Han Ji, Yu Zhao, Guisong Liu, Hegui Zhang, Carl Yang, Gang Kou

Proceedings of the AAAI Conference on Artificial Intelligence

DOI

2026

Adversarial Training for Robust Spiking Neural Networks via Boundary Stability Estimation

Hui Li, Xiurui Xie, Yupeng Liu, Qiugang Zhan, Yi Yang, Guisong Liu

International Conference on Software Engineering and Information Management (ICSIM)

DOI

2026

A Comprehensive Survey on Enterprise Financial Risk Analysis from Big Data and LLMs Perspective

Huaming Du, Huaming Du, Cancan Feng, Yuqian Lei, Chenyang Zhang, Guisong Liu, Guisong Liu, Gang Kou, Carl Yang, Yu Qian Zhao

Lecture notes in computer science

DOI

2026

OASIS: Mitigating Harmful Fine-tuning Attacks on LLMs via Orthogonal and Adaptive Safety Alignment Strategy

Jiayu Tang, Guowei Peng, Qiuhao Xie, Yuning Yang, Xiurui Xie, Guisong Liu

Annual Meeting of the Association for Computational Linguistics (ACL)

DOI

2026

Rank and data adaptive low-rank adaptation for 2-bit quantization-aware fine-tuning of ViT

Yuning Yang, Guowei Peng, Xiurui Xie, Dongyang Zhang, Guisong Liu

Pattern Recognition

DOI

2026

A semantic-aware dual-stream framework for spatiotemporal trajectory-user linking

Haolun Ding, Rong Zhang, Hang Zhang, Tuohang Li, Hongping Shu, Guisong Liu, Qiang Gao

Pattern Recognition

DOI

2026

PILO: Principal Component-based Implicit Regularization with Low-rank Optimization for Robust Transfer Learning

Shuaihe Liu, Qiugang Zhan, Guisong Liu, Tai-Xiang Jiang

Proceedings of the Thirty-Fifth International Joint Conference on Artificial Intelligence

DOI

2026

Nonlinear Transformed Low-Rank Quaternion Tensor Total Variation for Multidimensional Color Image Completion

Liqiao Yang, Yexun Hu, Tai-Xiang Jiang, Yi-Min Wei, Guisong Liu, Michael K. Ng

IEEE Transactions on Image Processing

DOI

2025

Multi-Modal Semantic Segmentation Based on Spike Encoding and Early Fusion with Events and Images

Zhuxi Li, Qiugang Zhan, Ran Tao, Peiming Kan, Zhiguang Qin, Guisong Liu

DOI

2025

A Spiking Transfer Learning Method for Event Camera Based on Structural Decoupling

Peiming Kan, Qiugang Zhan, Ran Tao, Zhuxi Li, Zhiguang Qin, Guisong Liu

DOI

2025

EMWQ: An Efficient Mixed Precision Weight Quantization Method for Large Language Models

Yu-Ning Yang, Xiu-Rui Xie, Guo-Wei Peng, Malu Zhang, Guangchun Luo, Yang Yang, Guisong Liu

IEEE Transactions on Neural Networks and Learning Systems

DOI

2025

Efficient FCTN Decomposition With Structural Sparsity for Noisy Tensor Completion

Wei-Jian Huang, Li Huang, Tai-Xiang Jiang, Yu-Bang Zheng, Guisong Liu

IEEE Transactions on Big Data

DOI

2025

PPBI: Pose-Guided Partial-Attention Network with Batch Information for Occluded Person Re-Identification

Jianhai Cui, Yiping Chen, Binbin Deng, Guisong Liu, Zhi-Guo Wang, Ye Li

Italian National Conference on Sensors

DOI

2025

Progressive Dependency Representation Learning for Stock Ranking in Uncertain Risk Contrasting

Li Huang, Yan-Zhe Xie, Qiang Gao, Kun-Peng Zhang, Guisong Liu, Xueqin Chen

Knowledge Discovery and Data Mining

DOI

2025

Causal Discovery through Synergizing Large Language Model and Data-Driven Reasoning

Huaming Du, Yujian Zheng, Baoyu Jing, Yu Zhao, Gang Kou, Guisong Liu, Tao Gu, Wei-Min Li, Carl Yang

Knowledge Discovery and Data Mining

DOI

2025

Enhancing Transparent Object Matting Using Predicted Definite Foreground and Background

Yi-Hui Liang, Qian Fu, Kun Zou, Guisong Liu, Han Huang

IEEE transactions on circuits and systems for video technology (Print)

DOI

2025

Degradation accordant plug-and-play for low-rank tensor recovery

Yexun Hu, Zixin Tang, Tai-Xiang Jiang, Xi-Le Zhao, Guisong Liu

Pattern Recognition

DOI

2025

Enhancing the Adversarial Robustness via Manifold Projection

Zhiting Li, Shibai Yin, Taixiang Jiang, Yexun Hu, Jia-Mian Wu, Guo-Wei Yang, Guisong Liu

AAAI Conference on Artificial Intelligence

DOI

2025

DELTA: Deep Low-Rank Tensor Representation for Multi-Dimensional Data Recovery

Guo-Wei Yang, Liqiao Yang, Tai-Xiang Jiang, Guisong Liu, Michael K. Ng

IEEE Transactions on Pattern Analysis and Machine Intelligence

DOI

2025

PALADIN: a novel plug-and-play 3D CS-MRI reconstruction method

Jia-Mian Wu, Shibai Yin, Tai-Xiang Jiang, Guisong Liu, Xi-Le Zhao

Inverse Problems

DOI

2025

Spectral Low-Rank Attention with Flow-Based Refinement for Spectral Reconstruction

Yiwen Wang, Zixin Tang, Yexun Hu, Guisong Liu, Tai-Xiang Jiang

IEEE International Conference on Acoustics, Speech, and Signal Processing

DOI

2025

Responsive Dynamic Graph Disentanglement for Metro Flow Forecasting

Qiang Gao, Zizheng Wang, Li Huang, Goce Trajcevski, Guisong Liu, Xueqin Chen

AAAI Conference on Artificial Intelligence

DOI

2025

FAST: Foreground-aware active self-training for domain adaptive object detection

Dan Zhang, Hongmin Deng, Hailin Wang, Zhe-Kai Du, Guisong Liu, Jingjing Li, Mao Ye

Neural Networks

DOI

2025

Birds of a Feather: Enhancing Multimodal Fake News Detection Via Multi-Element Retrieval

Xueqin Chen, Xiaoyu Huang, Qiang Gao, Li Huang, Jia-Jing Yu, Guisong Liu

IEEE International Conference on Data Engineering

DOI

2025

Continual adaptation Person re-identification via vision-language fusion with enhanced annotation robustness

Xiuchuan Cheng, Kangning Yin, Zhen Ding, Guisong Liu, Zhi-Guo Wang

Multimedia Systems

DOI

2025

ConvNeXt-Driven Dynamic Unified Network with Adaptive Feature Calibration for End-to-End Person Search

Xiuchuan Cheng, Meiling Wu, Xu Feng, Zhiguo Wang, Guisong Liu, Ye Li

Comput. Mater. Continua

DOI

2024

Blood Pressure Estimation Using PPG based on UNet-KAN Neural Network

Jianhai Cui, Yu-Geng Zhang, Can Wei, Yao-Hua Guan, Guisong Liu

ICAICE

DOI

2024

Learning a more compact representation for low-rank tensor completion

Xizhuo Li, Tai-Xiang Jiang, Liqiao Yang, Guisong Liu

Neurocomputing

DOI

2023

一种基于损失预测的双主动域适应算法研究

刘贵松，郑余，解修蕊，黄鹂，丁浩伦

《计算机学报》

2023

Fast Image matting based on matting pyramids and surrogate models

Yi-Hui Liang, Hongshan Gou, Guisong Liu, Si-Bo Huang

2023 2nd International Conference on Robotics, Artificial Intelligence and Intelligent Control (RAIIC)

DOI

2022

Natural Image Matting Based on Surrogate Model

Yi-Hui Liang, Hongshan Gou, Fujian Feng, Guisong Liu, Hang Huang

Social Science Research Network

DOI

2016

大数据融合、分析与价值

吴睿智，马致远，罗光春，刘贵松，秦科

《信息通信技术》

2014

基于最短路径信任关系的推荐项目计算方法

刘贵松，解修蕊，黄海波，屈鸿

《电子科技大学学报》

2009

采用多树结构的快速多假设跟踪算法

何晔，刘贵松

《实验科学与技术》

2007

入侵检测的神经网络方法

刘贵松

《电子科技大学》

2007

采用自适应GHA神经网络的分类器设计

刘贵松，王晓彬

《电子科技大学学报》

2007

采用熵的多维K-匿名划分方法

晏华，刘贵松

《电子科技大学学报》

精选作品

期刊论文

SpikeLoRA: Power-efficient low-rank adaptation based on spiking neural network

Traceable Latent Variable Discovery Based on Multi-Agent Collaboration

SFedHIFI: Fire Rate-Based Heterogeneous Information Fusion for Spiking Federated Learning

Transferable Graph Condensation from the Causal Perspective

Adversarial Training for Robust Spiking Neural Networks via Boundary Stability Estimation

A Comprehensive Survey on Enterprise Financial Risk Analysis from Big Data and LLMs Perspective

OASIS: Mitigating Harmful Fine-tuning Attacks on LLMs via Orthogonal and Adaptive Safety Alignment Strategy

Rank and data adaptive low-rank adaptation for 2-bit quantization-aware fine-tuning of ViT

A semantic-aware dual-stream framework for spatiotemporal trajectory-user linking

PILO: Principal Component-based Implicit Regularization with Low-rank Optimization for Robust Transfer Learning

Nonlinear Transformed Low-Rank Quaternion Tensor Total Variation for Multidimensional Color Image Completion

Multi-Modal Semantic Segmentation Based on Spike Encoding and Early Fusion with Events and Images

A Spiking Transfer Learning Method for Event Camera Based on Structural Decoupling

EMWQ: An Efficient Mixed Precision Weight Quantization Method for Large Language Models

Efficient FCTN Decomposition With Structural Sparsity for Noisy Tensor Completion

PPBI: Pose-Guided Partial-Attention Network with Batch Information for Occluded Person Re-Identification

Progressive Dependency Representation Learning for Stock Ranking in Uncertain Risk Contrasting

Causal Discovery through Synergizing Large Language Model and Data-Driven Reasoning

Enhancing Transparent Object Matting Using Predicted Definite Foreground and Background

Degradation accordant plug-and-play for low-rank tensor recovery

Enhancing the Adversarial Robustness via Manifold Projection

DELTA: Deep Low-Rank Tensor Representation for Multi-Dimensional Data Recovery

PALADIN: a novel plug-and-play 3D CS-MRI reconstruction method

Spectral Low-Rank Attention with Flow-Based Refinement for Spectral Reconstruction

Responsive Dynamic Graph Disentanglement for Metro Flow Forecasting

FAST: Foreground-aware active self-training for domain adaptive object detection

Birds of a Feather: Enhancing Multimodal Fake News Detection Via Multi-Element Retrieval

Continual adaptation Person re-identification via vision-language fusion with enhanced annotation robustness

ConvNeXt-Driven Dynamic Unified Network with Adaptive Feature Calibration for End-to-End Person Search

Blood Pressure Estimation Using PPG based on UNet-KAN Neural Network

Learning a more compact representation for low-rank tensor completion

一种基于损失预测的双主动域适应算法研究

Fast Image matting based on matting pyramids and surrogate models

Natural Image Matting Based on Surrogate Model

大数据融合、分析与价值

基于最短路径信任关系的推荐项目计算方法

采用多树结构的快速多假设跟踪算法

入侵检测的神经网络方法

采用自适应GHA神经网络的分类器设计

采用熵的多维K-匿名划分方法

会议论文

Norm-Profile Construction Using Splitting Neural Gas for Anomaly Detection

神经网络方法在入侵检测中的应用研究

预印本

SNN-Enhanced Temporal Representation and Multi-Scale Contextual Attention for Event-Image Semantic Segmentation

FedERF: Hybrid Spiking Federated Learning for Event-RGB Knowledge Fusion

研究方向