李先贤｜广西师范大学｜学者主页

2026

Towards LLM-Empowered Knowledge Tracing via LLM-Student Hierarchical Behavior Alignment in Hyperbolic Space

Xingcheng Fu, Sheng-Peng Wang, Yi-Sen Gao, Xianxian Li, Chunpei Li, Qingyun Sun, Dongran Yu

AAAI Conference on Artificial Intelligence

DOI

2026

Revisiting topological bias in imbalanced graph learning: A Dual-Balanced Graph Neural Network approach

Qiyu Li, Xianxian Li, Cheng Zhang, Jinyan Wang

Information Processing & Management

DOI

2026

RGPTN: Learning on graphs, hypergraphs, and heterogeneous graphs with noisy labels

Zeming Gan, Linlin Su, Jinyan Wang, Xianxian Li

Knowledge-Based Systems

DOI

2026

FedEBM: Robust graph federated learning via energy-based model

Jiayu Wang, Jinyan Wang, Zeming Gan, Xianxian Li, De Li

Neural Networks

DOI

2026

NRRec: Noise-Resilient Sequential Recommendation via High-Frequency Denoising and Contrastive Preference Disentanglement

Xianxian Li, Chuang Li, Zhigang Sun, Jichu Zhang, Li-e Wang

International Conference on Computer Supported Cooperative Work in Design (CSCWD)

DOI

2026

Grey-Box Prompt Tuning With Graph Alignment for Speech-Language Models

Yuhang Lu, Li-e Wang, Xianxian Li, Feng Yu, Linghui Meng

IEEE International Conference on Acoustics Speech and Signal Processing

DOI

2026

Multi-side contrastive learning with intent-enhanced for knowledge recommendation

Huachang Zeng, Li-e Wang, Shenghan Li, Xianxian Li, Shengda Zhuo, Zhigang Sun

International Journal of Machine Learning and Cybernetics

DOI

2026

Prototype-Guided Supervision for Graph Learning with Noisy and Sparse Labels

Qiyu Li, Xianxian Li, De Li, Jinyan Wang

Proceedings of the AAAI Conference on Artificial Intelligence

DOI

2026

Prototype-Guided Supervision for Graph Learning with Noisy and Sparse Labels

Association for Artificial Intelligence 2026, De De Li, Xianxian Li, Qiyu Li, Jinyan Wang

Underline Science Inc.

DOI

2026

Towards LLM-Empowered Knowledge Tracing via LLM-Student Hierarchical Behavior Alignment in Hyperbolic Space

Association for Artificial Intelligence 2026, Xingcheng Fu, Yisen Gao, Chunpei Li, Xianxian Li, Qingyun Sun, Shengpeng Wang, Dongran Yu

Underline Science Inc.

DOI

2026

Improving Few-Shot Multi-modal Aspect-Level Sentiment Classification with Implicit In-context Learning

Aoxiang Zhou, Zhigang Wu, Kaichen Peng, Peng Liu, Xianxian Li

Lecture notes in computer science

DOI

2026

Focus on What Matters: Object-Level Semantic Alignment for Multimodal Named Entity Recognition with Multiple Images

Peng Fan, Yanli Jin, Yunyu Zhang, Peng Liu, Xianxian Li

Lecture notes in computer science

DOI

2025

Mitigating Message Imbalance in Fraud Detection with Dual-View Graph Representation Learning

Yudan Song, Yuecen Wei, Yuhang Lu, Qingyun Sun, Minglai Shao, Li-e Wang, Chunming Hu, Xianxian Li, Xingcheng Fu

International Joint Conference on Artificial Intelligence

DOI

2025

Bi-Directional Multi-Scale Graph Dataset Condensation via Information Bottleneck

Xingcheng Fu, Yisen Gao, Beining Yang, Yuxuan Wu, Haodong Qian, Qingyun Sun, Xianxian Li

Proceedings of the AAAI Conference on Artificial Intelligence

DOI

2025

Toward a Unified Geometry Understanding : Riemannian Diffusion Framework for Graph Generation and Prediction

Yisen Gao, Xingcheng Fu, Qingyun Sun, Jianxin Li, Xianxian Li

neural information processing systems

DOI

2025

LLM-BSCVM: An LLM-Based Blockchain Smart Contract Vulnerability Management Framework

Yanli Jin, Chunpei Li, Peng Fan, Peng Liu, Xianxian Li, Chen Liu, Wang-Jie Qiu

arXiv.org

DOI

2025

An Out-Of-Distribution Membership Inference Attack Approach for Cross-Domain Graph Attacks

Jinyan Wang, Yang Liu, Yuecen Wei, Jiaxuan Si, Chenhao Guo, Qingyun Sun, Xianxian Li, Xingcheng Fu

International Joint Conference on Artificial Intelligence

DOI

2025

Towards Universal Modal Tracking With Online Dense Temporal Token Learning

Yao-Zong Zheng, Bi-Neng Zhong, Qi-Hua Liang, Shengping Zhang, Guo-Rong Li, Xianxian Li, Rongrong Ji

IEEE Transactions on Pattern Analysis and Machine Intelligence

DOI

2025

Discrete Curvature Graph Information Bottleneck

Xingcheng Fu, Jian Wang, Yisen Gao, Qingyun Sun, Haonan Yuan, Jianxin Li, Xianxian Li

Proceedings of the AAAI Conference on Artificial Intelligence

DOI

2025

Instant resonance: Dual strategy enhances the data consensus success rate of blockchain threshold signature oracles

Youquan Xian, Xueying Zeng, Chunpei Li, Dongcheng Li, Peng Wang, Peng Liu, Xianxian Li

Future Generation Computer Systems

DOI

2025

A Blockchain-Based Approach to Precise Accountable Resource Sharing

Peng Liu, Yuhan Chen, Lie Wang, Min Zhang, Shanyu Gan, Zhengdong Hu, Xianxian Li

Lecture notes of the Institute for Computer Sciences, Social Informatics and Telecommunications Engineering

DOI

2025

User preference representation and dual contrastive learning for knowledge-aware recommendation

Ting Wei, Li-e Wang, Xingcheng Fu, Xianxian Li

International Journal of Machine Learning and Cybernetics

DOI

2025

From GNN to MLP: Enhancing learning with knowledge-augmented distillation and confidence guidance

Qiyu Li, Xianxian Li, De Li, Jinyan Wang

Information Fusion

DOI

2025

A new privacy-preserving approach for publishing periodical reporting systems data

Tong Yi, Jinyan Wang, Wenqian Shang, Haibin Zhu, Xianxian Li

Knowledge and Information Systems

DOI

2025

A Secure and Efficient Distributed Sharing Scheme with Attribute-Based Searchable Encryption

Jinke Xu, Xianxian Li, Li-e Wang, Yongdong Li, Weidong Zhu

International Conference on Computer Supported Cooperative Work in Design (CSCWD)

DOI

2025

BAM_CRS: Blockchain-Based Anonymous Model for Cross-Domain Recommendation Systems

Li-E. Wang, Dongcheng Li, Peng Liu, Xianxian Li

Journal of Computer Science and Technology

DOI

2025

Chain of Thought Guided Few-Shot Fine-Tuning of LLMs for Multimodal Aspect-Based Sentiment Classification

Hao Wu, Danping Yang, Peng Liu, Xianxian Li

Lecture notes in computer science

DOI

2025

Multi-Modal Hybrid Interaction Vision-Language Tracking

Lei Lei, Xianxian Li

IEEE Transactions on Multimedia

DOI

2024

SEMSO: A Secure and Efficient Multi-Data Source Blockchain Oracle

Youquan Xian, Xueying Zeng, Chunpei Li, Peng Wang, Dong-Cheng Li, Peng Liu, Xianxian Li

IEEE Transactions on Parallel and Distributed Systems

DOI

2024

Poincaré Differential Privacy for Hierarchy-Aware Graph Embedding

Yuecen Wei, Haonan Yuan, Xingcheng Fu, Qingyun Sun, Hao Ming Peng, Xianxian Li, Chunming Hu

Proceedings of the AAAI Conference on Artificial Intelligence

DOI

2024

Explicit Visual Prompts for Visual Object Tracking

Liangtao Shi, Bineng Zhong, Qihua Liang, Ning Li, Shengping Zhang, Xianxian Li

Proceedings of the AAAI Conference on Artificial Intelligence

DOI

2024

Hyperbolic Geometric Latent Diffusion Model for Graph Generation

Xingcheng Fu, Yi-Sen Gao, Yue-Cen Wei, Qingyun Sun, Hao Peng, Jianxin Li, Xianxian Li

International Conference on Machine Learning

DOI

2024

Personalized federated learning based on feature fusion

Wolong Xing, Zhenkui Shi, Hongyan Peng, Xiantao Hu, Yaozong Zheng, Xianxian Li

International Conference on Computer Supported Cooperative Work in Design (CSCWD)

DOI

2024

Rethinking the impact of noisy labels in graph classification: A utility and privacy perspective

De Li, Xianxian Li, Zeming Gan, Qiyu Li, Bin Qu, Jinyan Wang

Neural Networks

DOI

2024

ODTrack: Online Dense Temporal Token Learning for Visual Tracking

Yaozong Zheng, Bineng Zhong, Qihua Liang, Zhiyi Mo, Shengping Zhang, Xianxian Li

Proceedings of the AAAI Conference on Artificial Intelligence

DOI

2024

Positive-Sample-Free Object Tracking via a Soft Constraint

Jiaxin Ye, Bineng Zhong, Qi-Hua Liang, Sheng-Ping Zhang, Xianxian Li, Rongrong Ji

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

DOI

2024

Transformer Tracking via Frequency Fusion

Xian-Tao Hu, Bineng Zhong, Qi-Hua Liang, Sheng-Ping Zhang, Ning Li, Xianxian Li, Rongrong Ji

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

DOI

2024

Robust Tracking via Bidirectional Transduction With Mask Information

TianYu Ning, Bineng Zhong, Qi-Hua Liang, Zhenjun Tang, Xianxian Li

IEEE transactions on multimedia

DOI

2024

Toward Modalities Correlation for RGB-T Tracking

Xian-Tao Hu, Bi-Neng Zhong, Qi-Hua Liang, Shengping Zhang, Ning Li, Xianxian Li

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

DOI

2024

FedISMH: Federated Learning Via Inference Similarity for Model Heterogeneous

Yongdong Li, Li-e Wang, Zhigang Sun, Xianxian Li, Hengtong Chang, Jinke Xu, Caiyi Lin

IEEE International Conference on Big Data (BigData)

DOI

2024

Achieving Secure and Efficient Emergency Data Sharing based on Searchable Proxy Re- Encryption

Feng Quan Yu, Jing Xi, Linghui Meng, Daicen Jiang, Qianhui Lu, Xianxian Li

International Conference on Advanced Cloud and Big Data

DOI

2024

A Blockchain-Based Auditing Scheme for Educational Data Supporting Trusted Detection

Feng Quan Yu, Q. W. Lu, Linghui Meng, Jiahui Peng, Jing Xi, Xianxian Li

International Conference on Advanced Cloud and Big Data

DOI

2024

D4A: An efficient and effective defense across agnostic adversarial attacks

Xianxian Li, Zeming Gan, Yan Bai, Linlin Su, De Li, Jinyan Wang

Neural Networks

DOI

2024

RGB-T tracking with frequency hybrid awareness

Lei Lei, Xianxian Li

Image and Vision Computing

DOI

2024

An Attribute-Based End-to-End Policy-Controlled Signcryption Scheme for Secure Group Chat Communication

Feng Quan Yu, Linghui Meng, Xianxian Li, Daicen Jiang, Weidong Zhu, Zhihua Zeng

Mathematics

DOI

2024

Synthesis of Opacity-Enforcing Supervisory Strategies Using Reinforcement Learning

Huimin Zhang, Li Huang, Wanling Huang, Lei Feng, Xianxian Li

IEEE Transactions on Automation Science and Engineering

DOI

2024

Higher-order Semantic-aware Adaptive Graph Contrastive Learning

Xianxian Li, Jiayue Zeng, Zhigang Sun, Li’e Wang

DOI

2024

Dual Contrastive Learning and Dual Bi-directional Transformer Encoders for Sequential Recommendations

Li-e Wang, Hengtong Chang, Rongwen Wei, Xianxian Li, Zhigang Sun, Yongdong Li, Yi Wei, Linghui Meng

International Conference on Computer Supported Cooperative Work in Design (CSCWD)

DOI

2024

Multi-perspective Information and Multi-task Contrastive Learning for Sequential Recommendations

Li-e Wang, Rongwen Wei, Hengtong Chang, Xianxian Li, Zhigang Sun, Tianran Liu

International Conference on Computer Supported Cooperative Work in Design (CSCWD)

DOI

2024

Coded Caching for MISO Systems with Linear Subpacketization

Minquan Cheng, Rongqing Tan, Jinyu Wang, Youlong Wu, Xianxian Li

International Conference on Computer and Communication Systems (ICCCS)

DOI

2024

MKNBL: Joint multi-channel knowledge-aware network and broad learning for sparse knowledge graph-based recommendation

Li-e Wang, Yuelan Qi, Zhigang Sun, Xianxian Li

Neurocomputing

DOI

2024

SpanMRC: Query with Entity Length for MRC-Based Named Entity Recognition

Hao Wu, Xianxian Li, Peng Liu, Li-e Wang, Danping Yang, Aoxiang Zhou

Lecture notes in computer science

DOI

2024

CRFLOE: Context Region Filter and Relation Word Aware for Document-Level Relation Extraction

Danping Yang, Xianxian Li, Hao Wu, Aoxiang Zhou, Peng Liu

Lecture notes in computer science

DOI

2024

DocBAN: An Efficient Biaffine Attention Network for Document-Level Named Entity Recognition

Hao Wu, Xianxian Li, Danping Yang, Aoxiang Zhou, Peng Wang, Peng Liu

Lecture notes in computer science

DOI

2023

一种基于区块链的物联网数据安全交易方案

于枫，孟令辉，彭家辉，李先贤，瞿斌

《广西师范大学学报(自然科学版)》

2023

POI推荐中的多源数据融合和隐私保护方法

王利娥，王艺汇，李先贤

《广西师范大学学报(自然科学版)》

2023

Asymptotically Optimal Coded Distributed Computing via Combinatorial Designs

Min-Quan Cheng, Youlong Wu, Xianxian Li, Dian-Hua Wu

IEEE/ACM Transactions on Networking

DOI

2023

Toward Unified Token Learning for Vision-Language Tracking

Yao-Zong Zheng, Bineng Zhong, Qi-Hua Liang, Guo-Rong Li, R. Ji, Xianxian Li

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

DOI

2023

Robust Tracking via Uncertainty-Aware Semantic Consistency

Jie Ma, Xiangyuan Lan, Bineng Zhong, Guo-Rong Li, Zhenjun Tang, Xianxian Li, Rongrong Ji

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

DOI

2023

Leveraging Local and Global Cues for Visual Tracking via Parallel Interaction Network

Yao-Zong Zheng, Bineng Zhong, Qi-Hua Liang, Zhenjun Tang, R. Ji, Xianxian Li

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

DOI

2023

A Copyright-Preserving and Fair Image Trading Scheme Based on Blockchain

Feng Yu, Ji Peng, Xianxian Li, Chunpei Li, Bin Qu

Tsinghua Science and Technology

DOI

2023

Secure and Trusted Copyright Protection for Educational Data on Redactable Blockchains

Li-E Wang, Yi Wei, Peng Liu, Xianxian Li

IEEE International Conference on Parallel and Distributed Systems (ICPADS)

DOI

2023

PGUD: Personalized Graph Universal Defense

Zeming Gan, Linlin Su, Xianxian Li, Jinyan Wang

IEEE International Conference on Parallel and Distributed Systems (ICPADS)

DOI

2023

Relaxed Graph Semi-Supervised Contrastive Learning for Node Classification

Qiyu Li, Xianxian Li, Haodong Qian, De Li, Jinyan Wang

IEEE International Conference on Parallel and Distributed Systems (ICPADS)

DOI

2023

Node Classification in Graph Neural Networks under Dual Consistency

Qiyu Li, Xianxian Li, De Li, Jinyan Wang

Proceedings - International Conference on Tools with Artificial Intelligence, TAI

DOI

2023

Graph neural network based approach to automatically assigning common weakness enumeration identifiers for vulnerabilities

Peng Liu, Wenzhe Ye, Haiying Duan, Xianxian Li, Shuyi Zhang, Chuanjian Yao, Yongnan Li

Cybersecurity

DOI

2023

Robustness and Privacy for Green Learning under Noisy Labels

De Li, Tiange Xia, Qiyu Li, Xianxian Li, Jinyan Wang

IEEE International Conference on Trust, Security and Privacy in Computing and Communications (TrustCom)

DOI

2023

FINDER: A Simple and Effective Defender against Unnoticeable Graph Injection Attacks

Linlin Su, Jinyan Wang, Zeming Gan, Xianxian Li

IEEE International Conference on Trust, Security and Privacy in Computing and Communications (TrustCom)

DOI

2023

Dynamic Social Recommendation with High-Matching Inhomogeneous Relations

Shana Yunsheng Li, Jinyan Wang, Huachang Zeng, Jun Li, Yuecen Wei, Xianxian Li

Conference proceedings/Conference proceedings - IEEE International Conference on Systems, Man, and Cybernetics

DOI

2023

Knowledge-Aware Dual-Channel Graph Neural Networks For Denoising Recommendation

Hanwen Zhang, Li-e Wang, Zhigang Sun, Xianxian Li

The Computer Journal

DOI

2023

FedEF: Federated Learning for Heterogeneous and Class Imbalance Data

Hongyan Peng, Tongtong Wu, Zhenkui Shi, Xianxian Li

Proceedings - IEEE Symposium on Computers and Communications/IEEE Symposium on Computers and Communications

DOI

2023

CRCC: Collaborative Relation Context Consistency on the Knowledge Graph for Recommender Systems (S)

Li-E Wang, Huachang Zeng, Shenghan Li, Xianxian Li, Shengda Zhuo, Jiahua Xie, Bin Qu, Zhigang Sun, Tianran Liu

Proceedings/Proceedings of the ... International Conference on Software Engineering and Knowledge Engineering

DOI

2023

MuKGB-CRS: Guarantee privacy and authenticity of cross-domain recommendation via multi-feature knowledge graph integrated blockchain

Li-e Wang, Yuelan Qi, Yan Bai, Zhigang Sun, Dongcheng Li, Xianxian Li, Xianxian Li

Information Sciences

DOI

2023

Automatic CWE Assignment for Vulnerabilities with Graph Neural Networks

Peng Liu, Wenzhe Ye, Haiying Duan, Xianxian Li, Shuyi Zhang, Yongnan Li

Asia-Pacific Conference on Communications Technology and Computer Science (ACCTCS)

DOI

2023

AIC-GNN: Adversarial information completion for graph neural networks

Quanmin Wei, Jinyan Wang, Xingcheng Fu, Jun Hao Hu, Xianxian Li

Information Sciences

DOI

2023

The Tenth Visual Object Tracking VOT2022 Challenge Results

Matej Kristan, Aleš Leonardis, Jiřı́ Matas, Michael Felsberg, Roman P. Pflugfelder, Joni‐Kristian Kämäräinen, Hyung Jin Chang, Martin Danelljan, Luka Čehovin Zajc, Alan Lukežič, Ondřej Drbohlav, Johanna Björklund, Yushan Zhang, Zhongqun Zhang, Song Yan, Wenyan Yang, Dingding Cai, Christoph Mayer, Gustavo Fernández, Ben Kang, Goutam Bhat, Hong Chang, Guangqi Chen, Jiaye Chen, Shengyong Chen, Xilin Chen, Xin Chen, Xiuyi Chen, Yi-Wei Chen, Yu-Hsi Chen, Zhixin Chen, Yangming Cheng, Angelo Ciaramella, Yutao Cui, Benjamin Džubur, Mohana Murali Dasari, Qili Deng, Debajyoti Dhar, Shangzhe Di, Emanuel Di Nardo, Daniel K. Du, Matteo Dunnhofer, Heng Fan, Zhenhua Feng, Zhihong Fu, Shang Gao, Rama Krishna Gorthi, Éric Granger, Q. H. Gu, Himanshu Gupta, Jianfeng He, Keji He, Yan Huang, Deepak Jangid, Rongrong Ji, Cheng Jiang, Yingjie Jiang, Felix Järemo Lawin, Ze Kang, Madhu Kiran, Josef Kittler, Simiao Lai, Xiangyuan Lan, Dong-Wook Lee, Hyunjeong Lee, Seohyung Lee, Hui Li, Ming Li, Wangkai Li, Xi Li, Xianxian Li, Xiao Li, Zhe Li, Liting Lin, Haibin Ling, Бо Лю, Chang Liu, Si Liu, Huchuan Lu, Rafael M. O. Cruz, Bingpeng Ma, Chao Ma, Jie Ma, Yinchao Ma, Niki Martinel, Alireza Memarmoghadam, Christian Micheloni, Payman Moallem, Le Thanh Nguyen-Meidine, Siyang Pan, ChangBeom Park, Danda Pani Paudel, Matthieu Paul, Houwen Peng, Andreas Robinson, Litu Rout, Shiguang Shan, Kristian Simonato, Tianhui Song, Xiaoning Song

Lecture notes in computer science

DOI

2023

LTNI-FGML: Federated Graph Machine Learning on Long-Tailed and Non-IID Data via Logit Calibration

Dongqi Yan, Jinyan Wang, Qingyi Huang, Juanjuan Huang, Xianxian Li

Lecture notes in computer science

DOI

2023

GFedKRL: Graph Federated Knowledge Re-Learning for Effective Molecular Property Prediction via Privacy Protection

Yangyou Ning, Jinyan Wang, De Li, Dongqi Yan, Xianxian Li

Lecture notes in computer science

DOI

2023

Next POI Recommendation with Neighbor and Location Popularity

Xianxian Li, Tianran Liu, Li-e Wang, Zhigang Sun, Huachang Zeng

Lecture notes in computer science

DOI

2023

Learning Graph Neural Networks on Feature-Missing Graphs

Jun Hao Hu, Jinyan Wang, Quanmin Wei, Du Kai, Xianxian Li

Lecture notes in computer science

DOI

2022

防御链接预测攻击的隐私保护方法

韩学波，王利娥，黄丝曼，刘鹏，李先贤

《计算机工程与设计》

2022

基于孪生网络的目标跟踪算法研究进展

梁启花，胡现韬，钟必能，于枫，李先贤

《广西师范大学学报(自然科学版)》

2022

预训练语言模型的可解释性研究进展

郝雅茹，董力，许可，李先贤

《广西师范大学学报(自然科学版)》

2022

Heterogeneous Graph Neural Network for Privacy-Preserving Recommendation

Yue-Cen Wei, Xingcheng Fu, Qingyun Sun, Hao Peng, Jia Wu, Jinyan Wang, Xianxian Li

Industrial Conference on Data Mining

DOI

2022

SiamBAN: Target-Aware Tracking With Siamese Box Adaptive Network

Zedu Chen, Bineng Zhong, Guo-Rong Li, Sheng-Ping Zhang, Rong-Rong Ji, Zhenjun Tang, Xianxian Li

IEEE Transactions on Pattern Analysis and Machine Intelligence

DOI

2022

Robust Long-Term Tracking via Localizing Occluders

Binfei Chu, Yiting Lin, Bin Zhong, Zhenjun Tang, Xianxian Li, Jing Wang

ACM Trans. Multim. Comput. Commun. Appl.

DOI

2022

Teacher-student knowledge distillation for real-time correlation tracking

Qihuang Chen, Bineng Zhong, Qi-Hua Liang, Qing-Yong Deng, Xianxian Li

Neurocomputing

DOI

2022

A Green Neural Network with Privacy Preservation and Interpretability

De Li, Hongyan Zheng, Zeming Gan, Xianxian Li, Jinyan Wang

IEEE International Conference on Trust, Security and Privacy in Computing and Communications (TrustCom)

DOI

2022

A two-phase random forest with differential privacy

Jing Liu, Xianxian Li, Quanmin Wei, Songfeng Liu, Zhaohui Liu, Jinyan Wang

Applied Intelligence

DOI

2022

A reputation-based and privacy-preserving incentive scheme for mobile crowd sensing: a deep reinforcement learning approach

Jialin Zhang, Xianxian Li, Zhenkui Shi, Cong Zhu

Wireless Networks

DOI

2022

A fair and verifiable federated learning profit-sharing scheme

Xianxian Li, Mei Juan Huang, Shiqi Gao, Zhenkui Shi

Wireless Networks

DOI

2022

OGT: optimize graph then training GNNs for node classification

Quanmin Wei, Jinyan Wang, Jun Hao Hu, Xianxian Li, Tong Yi

Neural Computing and Applications

DOI

2022

A privacy preservation framework for feedforward-designed convolutional neural networks

De Li, Jinyan Wang, Qiyu Li, Yuhang Hu, Xianxian Li

Neural Networks

DOI

2022

An Efficient and Accurate Encrypted Image Retrieval Scheme via Ball Tree

Xianxian Li, Jie Lei, Zhenkui Shi, Feng Quan Yu

International Conference on Big Data Computing and Communications (BigCom)

DOI

2022

Resource allocation for MEC system with multi-users resource competition based on deep reinforcement learning approach

Bin Qu, Yan Bai, Yul Chu, Li-e Wang, Yu Feng, Xianxian Li

Computer Networks

DOI

2022

Achieving fair and accountable data trading for educational multimedia data based on blockchain

Xianxian Li, Jiahui Peng, Shiqi Gao, Zhenkui Shi, Chunpei Li

Wireless Networks

DOI

2022

An efficient and dynamic data access control framework for IoT

Hongyan Peng, Yue Chen, Xianxian Li, Zhenkui Shi

International Conference on Internet of Things and Smart City (IoTSC)

DOI

2022

Differentially private frequent episode mining over event streams

Jiawen Qin, Jinyan Wang, Qiyu Li, Shijian Fang, Xianxian Li, Lei Lei

Engineering Applications of Artificial Intelligence

DOI

2021

One-step spectral rotation clustering for imbalanced high-dimensional data

Guoqiu Wen, Xianxian Li, Yonghua Zhu, Linjun Chen, Qimin Luo, Malong Tan

Information Processing & Management，Vol. 58, No. 1

DOI

2021

SSGD: A Safe and Efficient Method of Gradient Descent

Jinhuan Duan, Xianxian Li, Shiqi Gao, Zili Zhong, Jinyan Wang

Security and Communication Networks

DOI

2021

Learning to Filter: Siamese Relation Network for Robust Tracking

Siyuan Cheng, Bineng Zhong, Guo-Rong Li, Xin Liu, Zhenjun Tang, Xianxian Li, Jing Wang

Computer Vision and Pattern Recognition

DOI

2021

DRNet: Towards fast, accurate and practical dish recognition

Siyuan Cheng, Binfei Chu, Bineng Zhong, Zikai Zhang, Xin Liu, Zhenjun Tang, Xianxian Li

Science China Technological Sciences

DOI

2021

Achieving Fair and Accountable Data Trading Scheme for Educational Multimedia Data Based on Blockchain

Xianxian Li, Ji Peng, Zhenkui Shi, Chunpei Li

Quality of Service in Heterogeneous Wired/Wireless Networks

DOI

2021

Precise sensitivity recognizing, privacy preserving, knowledge graph-based method for trajectory data publication

Xianxian Li, Cai Bing, Li-e Wang, Lei Lei

Frontiers of Computer Science

DOI

2021

The Ninth Visual Object Tracking VOT2021 Challenge Results

Matej Kristan, Jiřı́ Matas, Aleš Leonardis, Michael Felsberg, Roman P. Pflugfelder, Joni‐Kristian Kämäräinen, Hyung Jin Chang, Martin Danelljan, Luka Čehovin Zajc, Alan Lukežič, Ondřej Drbohlav, Jani Käpylä, G Hager, Song Yan, Jinyu Yang, Zhongqun Zhang, Gustavo Fernández, Mohamed H. Abdelpakey, Goutam Bhat, Llukman Çerkezi, Hakan Çevıkalp, Shengyong Chen, Xin Chen, Miao Cheng, Ziyi Cheng, Yu‐Chen Chiu, Ozgun Cirakman, Yutao Cui, Kenan Dai, Mohana Murali Dasari, Qili Deng, Xingping Dong, Daniel K. Du, Matteo Dunnhofer, Zhenhua Feng, Zhiyong Feng, Zhihong Fu, Shiming Ge, Rama Krishna Gorthi, Yuzhang Gu, Bilge Günsel, Qing Guo, Filiz Gürkan, Wencheng Han, Yanyan Huang, Felix Järemo Lawin, Shang-Jhih Jhang, Rongrong Ji, Cheng D. Jiang, Yingjie Jiang, Felix Juefei-Xu, Yin Jun, Xiao Ke, Fahad Shahbaz Khan, Byeong Hak Kim, Josef Kittler, Xiangyuan Lan, Jun Ha Lee, Bastian Leibe, Hui Li, LI Jian-hua, Xianxian Li, Yuezhou Li, Бо Лю, Chang Liu, Jingen Liu, Li Liu, Qingjie Liu, Huchuan Lu, Wei Lu, Jonathon Luiten, Jie Ma, Ziang Ma, Niki Martinel, Christoph Mayer, Alireza Memarmoghadam, Christian Micheloni, Yuzhen Niu, Danda Pani Paudel, Houwen Peng, Shoumeng Qiu, Aravindh Rajiv, Muhammad Fakhir Iftikhar Rana, Andreas Robinson, Hasan Sarıbaş, Ling Shao, Mohamed Shehata, Furao Shen, Jianbing Shen, Kristian Simonato, Xiaoning Song, Zhangyong Tang, Radu Timofte, Philip H. S. Torr, Chi‐Yi Tsai, Bedirhan Uzun, Luc Van Gool, Paul Voigtlaender, Dong Wang, Guangting Wang

IEEE/CVF International Conference on Computer Vision Workshops (ICCVW)

DOI

2021

Adaptive Clipping Bound of Deep Learning with Differential Privacy

Yuhang Hu, De Li, Tan Zhou, Xianxian Li, Jinyan Wang

IEEE International Conference on Trust, Security and Privacy in Computing and Communications (TrustCom)

DOI

2021

Differential Privacy Preservation in Adaptive K-Nets Clustering

Xiaohong Liu, Hanbo Cai, De Li, Xianxian Li, Jinyan Wang

IEEE International Conference on Trust, Security and Privacy in Computing and Communications (TrustCom)

DOI

2021

DBS: Blockchain-Based Privacy-Preserving RBAC in IoT

Xianxian Li, Junhao Yang, Shiqi Gao, Zhenkui Shi, Jie Li, Xuemei Fu

Lecture notes of the Institute for Computer Sciences, Social Informatics and Telecommunications Engineering

DOI

2020

基于IAPS的扩展规则局部搜索算法

王金艳，胡春，牛当当，李先贤

《电子学报》

2020

Differentially private ensemble learning for classification

Xianxian Li, Jing Liu, Songfeng Liu, Jinyan Wang

Neurocomputing

DOI

2020

Differential Privacy Preservation in Interpretable Feedforward-Designed Convolutional Neural Networks

De Li, Jinyan Wang, Tan Zhou, Xianxian Li, Yuhang Hu

IEEE International Conference on Trust, Security and Privacy in Computing and Communications (TrustCom)

DOI

2020

DP-AP: Differential Privacy-Preserving Affinity Propagation Clustering

Hanbo Cai, Jinyan Wang, Xiaohong Liu, Xianxian Li

DOI

2020

Top- k closed co-occurrence patterns mining with differential privacy over multiple streams

Jinyan Wang, Shijian Fang, Chen Liu, Jiawen Qin, Xianxian Li, Zhenkui Shi

Future Generation Computer Systems

DOI

2018

A three-phase approach to differentially private crucial patterns mining over data streams

Jinyan Wang, Chen Liu, Xingcheng Fu, Xudong Luo, Xianxian Li

Computers & Security

DOI

2018

A Multi-Level Privacy-Preserving Approach to Hierarchical Data Based on Fuzzy Set Theory

Jinyan Wang, Guoqing Cai, Chen Liu, Jingli Wu, Xianxian Li

Symmetry

DOI

2018

Two privacy-preserving approaches for data publishing with identity reservation

Jinyan Wang, Kai Du, Xudong Luo, Xianxian Li

Knowledge and Information Systems

DOI

2017

移动商务推荐系统中的一种基于P2P的隐私保护策略

王利娥，许元馨，李先贤，刘鹏

《计算机科学》

2017

Anonymizing approach to resist label-neighborhood attacks in dynamic releases of social networks

Xiaoyi Hu, Li-e Wang, Jiaqi Tang, Cong Lei, Peng Liu, Xianxian Li

IEEE International Conference on e-Health Networking, Applications and Services (Healthcom)

DOI

2017

Randomized Perturbation for Privacy-Preserving Social Network Data Publishing

Peng Liu, Li-e Wang, Xianxian Li

IEEE International Conference on Big Knowledge (ICBK)

DOI

2017

Transparent Link: A Framework of Anonymizing MSA-Dataset Based on Probabilistic Graphical Model

Li-E Wang, Yameng Guo, Xianxian Li

IEEE International Conference on Big Data Computing Service and Applications (BigDataService)

DOI

2016

Partial k-Anonymity for Privacy-Preserving Social Network Data Publishing

Peng Liu, Yan Zhi Bai, Lie Wang, Xianxian Li

International Journal of Software Engineering and Knowledge Engineering

DOI

2016

ROAT: Road-Network-Based Anonymization of Trajectories

Peipei Sui, Xianxian Li

DOI

2015

社会网络分析软件研究

刘鹏，李先贤，王利娥

《计算机科学》

2015

Robust Image Hashing With Ring Partition and Invariant Vector Distance

Zhenjun Tang, Xianquan Zhang, Xianxian Li, Shichao Zhang

IEEE Transactions on Information Forensics and Security

DOI

2015

A Hybrid Optimization Approach for Anonymizing Transactional Data

Li-e Wang, Xianxian Li

Lecture notes in computer science

DOI

2014

A Clustering-Based Bipartite Graph Privacy-Preserving Approach for Sharing High-Dimensional Data

Li-e Wang, Xianxian Li

International Journal of Software Engineering and Knowledge Engineering

DOI

2014

Privacy Risks in Publication of Taxi GPS Data

Peipei Sui, Tianyu Wo, Zhangle Wen, Xianxian Li

DOI

2014

Personalized Privacy Protection for Transactional Data

Li-e. Wang, Xianxian Li

Lecture notes in computer science

DOI

2014

A Personalized Privacy Preserving Method for Publishing Social Network Data

Jia Jiao, Peng Liu, Xianxian Li

Lecture notes in computer science

DOI

2014

A Hybrid Algorithm for Privacy Preserving Social Network Publication

Peng Liu, Lei Cui, Xianxian Li

Lecture notes in computer science

DOI

2013

Privacy-Preserving Trajectory Publication against Parking Point Attacks

Peipei Sui, Tianyu Wo, Zhangle Wen, Xianxian Li

DOI

2013

An Improved Privacy Preserving Algorithm for Publishing Social Network Data

Peng Liu, Xianxian Li

DOI

2012

一种面向数据中心架构的虚拟网络分布式路由技术

李先贤，高琦

《广西师范大学学报(自然科学版)》

2011

VMInsight: Hardware Virtualization-Based Process Security Monitoring System

Xianxian Li, Changhui Jiang, Jianxin Li, Bo Hu Li

DOI

2009

DTM:一种面向网络计算的动态信任管理模型

李建欣，怀进鹏，李先贤，林莉

《计算机学报》

2009

一种具有正确性保证的组合Web服务自动合成方法

怀进鹏，邓婷，李先贤，杜宗霞，郭慧鹏

《中国科学:信息科学》

2008

基于网格与SIP的VoIP服务

刘小佩，李先贤

《微计算机信息》

2007

虚拟运行环境描述管理工具的研究和实现

蔡炳，李沁，李先贤

《计算机工程与设计》

2007

面向服务网格的虚拟环境部署运行管理系统

朱晓娜，李先贤，李沁

《计算机工程与应用》

2005

多自治域协同环境中群组通信的安全访问控制

张煜，张文燚，李先贤，怀进鹏

《计算机研究与发展》

2005

安全协议的攻击分类及其安全性评估

卓继亮，李先贤，李建欣，怀进鹏

《计算机研究与发展》

2005

SPA:新的高效安全协议分析系统

李建欣，李先贤，卓继亮，怀进鹏

《计算机学报》

2005

基于约束构造算法的密码协议安全性分析

李先贤，怀进鹏

《中国科学:技术科学》

2004

具有可信第三方的认证协议的安全性

卓继亮，蔺慧丽，李先贤

《计算机应用研究》

2003

密码协议的代数模型及其安全性

怀进鹏，李先贤

《中国科学:技术科学》

2002

群密钥分配的动态安全性及其方案

李先贤，怀进鹏，刘旭东

《计算机学报》

2002

分布式网络环境下密码协议形式模型和安全性

李先贤，怀进鹏

《中国科学院大学学报(中英文)》

2001

一种双方不可否认的密码协议及应用

李先贤，怀进鹏

《北京航空航天大学学报》

2000

基于PGP安全系统及应用

李先贤

《广西师范大学学报(自然科学版)》

精选作品

期刊论文

Towards LLM-Empowered Knowledge Tracing via LLM-Student Hierarchical Behavior Alignment in Hyperbolic Space

Revisiting topological bias in imbalanced graph learning: A Dual-Balanced Graph Neural Network approach

RGPTN: Learning on graphs, hypergraphs, and heterogeneous graphs with noisy labels

FedEBM: Robust graph federated learning via energy-based model

NRRec: Noise-Resilient Sequential Recommendation via High-Frequency Denoising and Contrastive Preference Disentanglement

Grey-Box Prompt Tuning With Graph Alignment for Speech-Language Models

Multi-side contrastive learning with intent-enhanced for knowledge recommendation

Prototype-Guided Supervision for Graph Learning with Noisy and Sparse Labels

Prototype-Guided Supervision for Graph Learning with Noisy and Sparse Labels

Towards LLM-Empowered Knowledge Tracing via LLM-Student Hierarchical Behavior Alignment in Hyperbolic Space

Improving Few-Shot Multi-modal Aspect-Level Sentiment Classification with Implicit In-context Learning

Focus on What Matters: Object-Level Semantic Alignment for Multimodal Named Entity Recognition with Multiple Images

Mitigating Message Imbalance in Fraud Detection with Dual-View Graph Representation Learning

Bi-Directional Multi-Scale Graph Dataset Condensation via Information Bottleneck

Toward a Unified Geometry Understanding : Riemannian Diffusion Framework for Graph Generation and Prediction

LLM-BSCVM: An LLM-Based Blockchain Smart Contract Vulnerability Management Framework

An Out-Of-Distribution Membership Inference Attack Approach for Cross-Domain Graph Attacks

Towards Universal Modal Tracking With Online Dense Temporal Token Learning

Discrete Curvature Graph Information Bottleneck

Instant resonance: Dual strategy enhances the data consensus success rate of blockchain threshold signature oracles

A Blockchain-Based Approach to Precise Accountable Resource Sharing

User preference representation and dual contrastive learning for knowledge-aware recommendation

From GNN to MLP: Enhancing learning with knowledge-augmented distillation and confidence guidance

A new privacy-preserving approach for publishing periodical reporting systems data

A Secure and Efficient Distributed Sharing Scheme with Attribute-Based Searchable Encryption

BAM_CRS: Blockchain-Based Anonymous Model for Cross-Domain Recommendation Systems

Chain of Thought Guided Few-Shot Fine-Tuning of LLMs for Multimodal Aspect-Based Sentiment Classification

Multi-Modal Hybrid Interaction Vision-Language Tracking

SEMSO: A Secure and Efficient Multi-Data Source Blockchain Oracle

Poincaré Differential Privacy for Hierarchy-Aware Graph Embedding

Explicit Visual Prompts for Visual Object Tracking

Hyperbolic Geometric Latent Diffusion Model for Graph Generation

Personalized federated learning based on feature fusion

Rethinking the impact of noisy labels in graph classification: A utility and privacy perspective

ODTrack: Online Dense Temporal Token Learning for Visual Tracking

Positive-Sample-Free Object Tracking via a Soft Constraint

Transformer Tracking via Frequency Fusion

Robust Tracking via Bidirectional Transduction With Mask Information

Toward Modalities Correlation for RGB-T Tracking

FedISMH: Federated Learning Via Inference Similarity for Model Heterogeneous

Achieving Secure and Efficient Emergency Data Sharing based on Searchable Proxy Re- Encryption

A Blockchain-Based Auditing Scheme for Educational Data Supporting Trusted Detection

D4A: An efficient and effective defense across agnostic adversarial attacks

RGB-T tracking with frequency hybrid awareness

An Attribute-Based End-to-End Policy-Controlled Signcryption Scheme for Secure Group Chat Communication

Synthesis of Opacity-Enforcing Supervisory Strategies Using Reinforcement Learning

Higher-order Semantic-aware Adaptive Graph Contrastive Learning

Dual Contrastive Learning and Dual Bi-directional Transformer Encoders for Sequential Recommendations

Multi-perspective Information and Multi-task Contrastive Learning for Sequential Recommendations

Coded Caching for MISO Systems with Linear Subpacketization

MKNBL: Joint multi-channel knowledge-aware network and broad learning for sparse knowledge graph-based recommendation

SpanMRC: Query with Entity Length for MRC-Based Named Entity Recognition

CRFLOE: Context Region Filter and Relation Word Aware for Document-Level Relation Extraction

DocBAN: An Efficient Biaffine Attention Network for Document-Level Named Entity Recognition

一种基于区块链的物联网数据安全交易方案

POI推荐中的多源数据融合和隐私保护方法

Asymptotically Optimal Coded Distributed Computing via Combinatorial Designs

Toward Unified Token Learning for Vision-Language Tracking

Robust Tracking via Uncertainty-Aware Semantic Consistency

Leveraging Local and Global Cues for Visual Tracking via Parallel Interaction Network

A Copyright-Preserving and Fair Image Trading Scheme Based on Blockchain

Secure and Trusted Copyright Protection for Educational Data on Redactable Blockchains

PGUD: Personalized Graph Universal Defense

Relaxed Graph Semi-Supervised Contrastive Learning for Node Classification

Node Classification in Graph Neural Networks under Dual Consistency

Graph neural network based approach to automatically assigning common weakness enumeration identifiers for vulnerabilities

Robustness and Privacy for Green Learning under Noisy Labels

FINDER: A Simple and Effective Defender against Unnoticeable Graph Injection Attacks

Dynamic Social Recommendation with High-Matching Inhomogeneous Relations

Knowledge-Aware Dual-Channel Graph Neural Networks For Denoising Recommendation

FedEF: Federated Learning for Heterogeneous and Class Imbalance Data

CRCC: Collaborative Relation Context Consistency on the Knowledge Graph for Recommender Systems (S)

MuKGB-CRS: Guarantee privacy and authenticity of cross-domain recommendation via multi-feature knowledge graph integrated blockchain

Automatic CWE Assignment for Vulnerabilities with Graph Neural Networks

AIC-GNN: Adversarial information completion for graph neural networks

The Tenth Visual Object Tracking VOT2022 Challenge Results

LTNI-FGML: Federated Graph Machine Learning on Long-Tailed and Non-IID Data via Logit Calibration

GFedKRL: Graph Federated Knowledge Re-Learning for Effective Molecular Property Prediction via Privacy Protection