Efficient Non-Repudiation Multicast Source Authentication Schemes. - Xianxian Li; Jinpeng Huai (J. Comput. Sci. Technol., 2002)

Algebra model and security analysis for cryptographic protocols. - Jinpeng Huai; Xianxian Li (Sci. China Ser. F Inf. Sci., 2004)

Access Control in Peer-to-Peer Collaborative Systems. - Yu Zhang; Xianxian Li; Jinpeng Huai; Yunhao Liu 001 (ICDCS Workshops, 2005)

Distributed Access Control in CROWN Groups. - Jinpeng Huai; Yu Zhang; Xianxian Li; Yunhao Liu 001 (ICPP, 2005)

Towards Security Analysis to Binding Update Protocol in Mobile IPv6 with Formal Method. - Jianxin Li 002; Jinpeng Huai; Qin Li 014; Xianxian Li (MSN, 2005)

A Multi-agent Cooperative Model and System for Integrated Security Monitoring. - Xianxian Li; Lijun Liu (CANS, 2006)

A Software Protocol of Goals and Operations Based on BDI Model. - Jinpeng Huai; Xianxian Li; Wenyi Zhang; Jun Han; Yongzhen Zhuang (SUTC (1), 2006)

Cryptographic protocol security analysis based on bounded constructing algorithm. - Xianxian Li; Jinpeng Huai (Sci. China Ser. F Inf. Sci., 2006)

Dynamic Cross-Realm Authentication for Multi-Party Service Interactions. - Dacheng Zhang; Jie Xu 007; Xianxian Li (DSN, 2007)

A Multi-agents Contractual Approach to Incentive Provision in Non-cooperative Networks. - Li Lin 008; Jinpeng Huai; Yanmin Zhu 006; Chunming Hu; Xianxian Li (OTM Conferences (1), 2008)

Automated synthesis of composite services with correctness guarantee. - Ting Deng; Jinpeng Huai; Xianxian Li; Zongxia Du; Huipeng Guo (WWW, 2009)

AutoSyn: A new approach to automated synthesis of composite web services with correctness guarantee. - Jinpeng Huai; Ting Deng; Xianxian Li; Zongxia Du; Huipeng Guo (Sci. China Ser. F Inf. Sci., 2009)

Dynamic Authentication for Cross-Realm SOA-Based Business Processes. - Jie Xu 007; Dacheng Zhang; Lu Liu 001; Xianxian Li (IEEE Trans. Serv. Comput., 2012)

Mining Item Popularity for Recommender Systems. - Jilian Zhang; Xiaofeng Zhu 001; Xianxian Li; Shichao Zhang 001 (ADMA (2), 2013)

An Improved Privacy Preserving Algorithm for Publishing Social Network Data. - Peng Liu 044; Xianxian Li (HPCC/EUC, 2013)

Privacy-Preserving Trajectory Publication against Parking Point Attacks. - Peipei Sui; Tianyu Wo; Zhangle Wen; Xianxian Li (UIC/ATC, 2013)

A Hybrid Algorithm for Privacy Preserving Social Network Publication. - Peng Liu 044; Lei Cui 003; Xianxian Li (ADMA, 2014)

Personalized Privacy Protection for Transactional Data. - Li-e Wang 001; Xianxian Li (ADMA, 2014)

Privacy Risks in Publication of Taxi GPS Data. - Peipei Sui; Tianyu Wo; Zhangle Wen; Xianxian Li (HPCC/CSS/ICESS, 2014)

A Personalized Privacy Preserving Method for Publishing Social Network Data. - Jia Jiao; Peng Liu 044; Xianxian Li (TAMC, 2014)

A Clustering-Based Bipartite Graph Privacy-Preserving Approach for Sharing High-Dimensional Data. - Li-e Wang 001; Xianxian Li (Int. J. Softw. Eng. Knowl. Eng., 2014)

A Hybrid Optimization Approach for Anonymizing Transactional Data. - Li-e Wang 001; Xianxian Li (ICA3PP (Workshops and Symposiums), 2015)

社会网络分析软件研究 (Study of Social Network Analysis Software). - Peng Liu 044; Xianxian Li; Li-e Wang 001 (计算机科学, 2015)

A Sensitivity-Adaptive ρ-Uncertainty Model for Set-Valued Data. - Liuhua Chen; Shenghai Zhong; Li-e Wang 001; Xianxian Li (Financial Cryptography, 2016)

A Local-Perturbation Anonymizing Approach to Preserving Community Structure in Released Social Networks. - Huanjie Wang; Peng Liu 044; Shan Lin; Xianxian Li (QSHINE, 2016)

ROAT: Road-Network-Based Anonymization of Trajectories. - Peipei Sui; Xianxian Li (UIC/ATC/ScalCom/CBDCom/IoP/SmartWorld, 2016)

Robust Image Hashing With Ring Partition and Invariant Vector Distance. - Zhenjun Tang; Xianquan Zhang; Xianxian Li; Shichao Zhang 001 (IEEE Trans. Inf. Forensics Secur., 2016)

Transparent Link: A Framework of Anonymizing MSA-Dataset Based on Probabilistic Graphical Model. - Li-e Wang 001; Yameng Guo; Xianxian Li (BigDataService, 2017)

Anonymizing approach to resist label-neighborhood attacks in dynamic releases of social networks. - Xiaoyi Hu; Li-e Wang 001; Jiaqi Tang 004; Cong Lei; Peng Liu 044; Xianxian Li (Healthcom, 2017)

Randomized Perturbation for Privacy-Preserving Social Network Data Publishing. - Peng Liu 044; Li-e Wang 001; Xianxian Li (ICBK, 2017)

A Study of Enhancing Privacy for Intelligent Transportation Systems: $k$ -Correlation Privacy Model Against Moving Preference Attacks for Location Trajectory Data. - Peipei Sui; Xianxian Li; Yan Bai (IEEE Access, 2017)

A privacy-preserving approach for multimodal transaction data integrated analysis. - Peipei Sui; Xianxian Li (Neurocomputing, 2017)

Partial k-Anonymity for Privacy-Preserving Social Network Data Publishing. - Peng Liu 044; Yan Bai; Lie Wang 001; Xianxian Li (Int. J. Softw. Eng. Knowl. Eng., 2017)

移动商务推荐系统中的一种基于P2P的隐私保护策略 (P2P-based Privacy Protection Strategy in Mobile-commerce Recommender System). - Lie Wang 001; Yuanxin Xu; Xianxian Li; Peng Liu 044 (计算机科学, 2017)

A Hierarchical k-Anonymous Technique of Graphlet Structural Perception in Social Network Publishing. - Dongran Yu; Huaxing Zhao; Li-e Wang 001; Peng Liu 044; Xianxian Li (MSPN, 2018)

Two Privacy-Preserving Approaches for Publishing Transactional Data Streams. - Jinyan Wang; Chaoji Deng; Xianxian Li (IEEE Access, 2018)

A graph-based multifold model for anonymizing data with attributes of multiple types. - Li-e Wang 001; Xianxian Li (Comput. Secur., 2018)

M-generalization for multipurpose transactional data publication. - Xianxian Li; Peipei Sui; Yan Bai; Li-E Wang 001 (Frontiers Comput. Sci., 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, 2018)

Information Entropy Differential Privacy: A Differential Privacy Protection Data Method Based on Rough Set Theory. - Xianxian Li; Chunfeng Luo; Peng Liu 044; Li-e Wang 001 (DASC/PiCom/DataCom/CyberSciTech, 2019)

A three-phase approach to differentially private crucial patterns mining over data streams. - Jinyan Wang; Chen Liu; Xingcheng Fu; Xudong Luo; Xianxian Li (Comput. Secur., 2019)

Two privacy-preserving approaches for data publishing with identity reservation. - Jinyan Wang; Kai Du; Xudong Luo; Xianxian Li (Knowl. Inf. Syst., 2019)

Correlation-aware partitioning for skewed range query optimization. - Wei Ge; Xianxian Li; Chunfeng Yuan; Yihua Huang 001 (World Wide Web, 2019)

DP-AP: Differential Privacy-Preserving Affinity Propagation Clustering. - Hanbo Cai; Jinyan Wang; Xiaohong Liu; Xianxian Li (BigDataSE, 2020)

Groupchain: A Blockchain Model with Privacy-preservation and Supervision. - Chunpei Li; Li-e Wang 001; Qingting Xu; Dongchen Li; Peng Liu 044; Xianxian Li (HP3C, 2020)

A Privacy Preserving Method for Publishing Set-valued Data and Its Correlative Social Network. - Li-e Wang 001; Shan Lin; Yan Bai; Sang-Yoon Chang; Xianxian Li; Peng Liu 044 (ICC, 2020)

Differential Privacy Preservation in Interpretable Feedforward-Designed Convolutional Neural Networks. - De Li; Jinyan Wang; Zhou Tan; Xianxian Li; Yuhang Hu (TrustCom, 2020)

GCBlock: A Grouping and Coding Based Storage Scheme for Blockchain System. - Bin Qu; Li-e Wang 001; Peng Liu 044; Zhenkui Shi; Xianxian Li (IEEE Access, 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 Gener. Comput. Syst., 2020)

Local differential privacy for social network publishing. - Peng Liu 044; Yuanxin Xu; Quan Jiang; Yuwei Tang; Yameng Guo; Li-e Wang 001; Xianxian Li (Neurocomputing, 2020)

SCPS: A Secure and Copyright-Preserving System for IIoT Based on Hyperledger Fabric. - Jiahui Peng; Chunpei Li; Bo Yuan; Hongwei Meng; Feng Yu 006; Xianxian Li (CBD, 2021)

A Private Statistic Query Scheme for Encrypted Electronic Medical Record System. - Xianxian Li; Xuemei Fu; Feng Yu 006; Zhenkui Shi; Jie Li; Junhao Yang (CSCWD, 2021)

BEIR: A Blockchain-based Encrypted Image Retrieval Scheme. - Xianxian Li; Jie Li; Feng Yu 006; Xuemei Fu; Junhao Yang; Yue Chen (CSCWD, 2021)

Learning To Filter: Siamese Relation Network for Robust Tracking. - Siyuan Cheng 003; Bineng Zhong; Guorong Li; Xin Liu 011; Zhenjun Tang; Xianxian Li; Jing Wang 049 (CVPR, 2021)

The Ninth Visual Object Tracking VOT2021 Challenge Results. - Matej Kristan; Jirí Matas; Ales Leonardis; Michael Felsberg; Roman P. Pflugfelder; Joni-Kristian Kämäräinen; Hyung Jin Chang; Martin Danelljan; Luka Cehovin Zajc; Alan Lukezic; Ondrej Drbohlav; Jani Käpylä; et al. (ICCVW, 2021)

POI Recommendation with Federated Learning and Privacy Preserving in Cross Domain Recommendation. - Li-e Wang 001; Yihui Wang; Yan Bai; Peng Liu 044; Xianxian Li (INFOCOM Workshops, 2021)

Achieving Fair and Accountable Data Trading Scheme for Educational Multimedia Data Based on Blockchain. - Xianxian Li; Jiahui Peng; Zhenkui Shi; Chunpei Li (QSHINE, 2021)

DBS: Blockchain-Based Privacy-Preserving RBAC in IoT. - Xianxian Li; Junhao Yang; Shiqi Gao; Zhenkui Shi; Jie Li; Xuemei Fu (QSHINE, 2021)

Adaptive Clipping Bound of Deep Learning with Differential Privacy. - Yuhang Hu; De Li; Zhou Tan; Xianxian Li; Jinyan Wang (TrustCom, 2021)

Differential Privacy Preservation in Adaptive K-Nets Clustering. - Xiaohong Liu; Hanbo Cai; De Li; Xianxian Li; Jinyan Wang (TrustCom, 2021)

Differentially private ensemble learning for classification. - Xianxian Li; Jing Liu; Songfeng Liu; Jinyan Wang (Neurocomputing, 2021)

One-step spectral rotation clustering for imbalanced high-dimensional data. - Guoqiu Wen; Xianxian Li; Yonghua Zhu; Linjun Chen; Qimin Luo; Malong Tan (Inf. Process. Manag., 2021)

SSGD: A Safe and Efficient Method of Gradient Descent. - Jinhuan Duan; Xianxian Li; Shiqi Gao; Zili Zhong; Jinyan Wang (Secur. Commun. Networks, 2021)

Beh-Raft-Chain: A Behavior-Based Fast Blockchain Protocol for Complex Networks. - Li-e Wang 001; Yan Bai; Quan Jiang; Victor C. M. Leung; Wei Cai 002; Xianxian Li (IEEE Trans. Netw. Sci. Eng., 2021)

An Efficient and Accurate Encrypted Image Retrieval Scheme via Ball Tree. - Xianxian Li; Jie Lei; Zhenkui Shi; Feng Yu 006 (BigCom, 2022)

The Tenth Visual Object Tracking VOT2022 Challenge Results. - Matej Kristan; Ales Leonardis; Jirí Matas; Michael Felsberg; Roman P. Pflugfelder; Joni-Kristian Kämäräinen; Hyung Jin Chang; Martin Danelljan; Luka Cehovin Zajc; Alan Lukezic; Ondrej Drbohlav; Johanna Björklund; et al. (ECCV Workshops (8), 2022)

Heterogeneous Graph Neural Network for Privacy-Preserving Recommendation. - Yuecen Wei; Xingcheng Fu; Qingyun Sun; Hao Peng 001; Jia Wu 001; Jinyan Wang; Xianxian Li (ICDM, 2022)

Next POI Recommendation with Neighbor and Location Popularity. - Xianxian Li; Tianran Liu; Li-e Wang 001; Zhigang Sun; Huachang Zeng (ICONIP (2), 2022)

Backdoor Attacks against Deep Neural Networks by Personalized Audio Steganography. - Peng Liu 044; Shuyi Zhang; Chuanjian Yao; Wenzhe Ye; Xianxian Li (ICPR, 2022)

A Green Neural Network with Privacy Preservation and Interpretability. - De Li; Hongyan Zheng; Zeming Gan; Xianxian Li; Jinyan Wang (TrustCom, 2022)

Efficient and traceable data sharing for the Internet of Things in smart cities. - Chunpei Li; Xianxian Li; Peng Liu 044; Wangjie Qiu; Chuanjian Yao; Bo Yuan (Comput. Electr. Eng., 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 001; Feng Yu 006; Xianxian Li (Comput. Networks, 2022)

Differentially private frequent episode mining over event streams. - Jiawen Qin; Jinyan Wang; Qiyu Li; Shijian Fang; Xianxian Li; Lei Lei (Eng. Appl. Artif. Intell., 2022)

Precise sensitivity recognizing, privacy preserving, knowledge graph-based method for trajectory data publication. - Xianxian Li; Bing Cai; Li-e Wang 001; Lei Lei (Frontiers Comput. Sci., 2022)

Teacher-student knowledge distillation for real-time correlation tracking. - Qihuang Chen; Bineng Zhong; Qihua Liang; Qingyong Deng; Xianxian Li (Neurocomputing, 2022)

OGT: optimize graph then training GNNs for node classification. - Quanmin Wei; Jinyan Wang; Jun Hu; Xianxian Li; Tong Yi (Neural Comput. Appl., 2022)

A privacy preservation framework for feedforward-designed convolutional neural networks. - De Li; Jinyan Wang; Qiyu Li; Yuhang Hu; Xianxian Li (Neural Networks, 2022)

ESVSSE: Enabling Efficient, Secure, Verifiable Searchable Symmetric Encryption. - Zhenkui Shi; Xuemei Fu; Xianxian Li; Kai Zhu 009 (IEEE Trans. Knowl. Data Eng., 2022)

GFedKRL: Graph Federated Knowledge Re-Learning for Effective Molecular Property Prediction via Privacy Protection. - Yangyou Ning; Jinyan Wang; De Li; Dongqi Yan; Xianxian Li (ICANN (3), 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 (ICANN (4), 2023)

PGUD: Personalized Graph Universal Defense. - Zeming Gan; Linlin Su; Xianxian Li; Jinyan Wang (ICPADS, 2023)

Relaxed Graph Semi-Supervised Contrastive Learning for Node Classification. - Qiyu Li; Xianxian Li; Haodong Qian; De Li; Jinyan Wang (ICPADS, 2023)

Secure and Trusted Copyright Protection for Educational Data on Redactable Blockchains. - Li-e Wang 001; Yi Wei; Peng Liu 044; Xianxian Li (ICPADS, 2023)

Node Classification in Graph Neural Networks under Dual Consistency. - Qiyu Li; Xianxian Li; De Li; Jinyan Wang (ICTAI, 2023)

FedEF: Federated Learning for Heterogeneous and Class Imbalance Data. - Hongyan Peng; Tongtong Wu; Zhenkui Shi; Xianxian Li (ISCC, 2023)

Learning Graph Neural Networks on Feature-Missing Graphs. - Jun Hu; Jinyan Wang; Quanmin Wei; Du Kai; Xianxian Li (KSEM (1), 2023)

CRCC: Collaborative Relation Context Consistency on the Knowledge Graph for Recommender Systems (S). - Li-E Wang 001; Huachang Zeng; Shenghan Li; Xianxian Li; Shengda Zhuo; Jiahua Xie; Bin Qu; Zhigang Sun; Tianran Liu (SEKE, 2023)

Dynamic Social Recommendation with High-Matching Inhomogeneous Relations. - Shenghan Li; Jinyan Wang; Huachang Zeng; Jun Li; Yuecen Wei; Xianxian Li (SMC, 2023)

Robustness and Privacy for Green Learning under Noisy Labels. - De Li; Tiange Xia; Qiyu Li; Xianxian Li; Jinyan Wang (TrustCom, 2023)

FINDER: A Simple and Effective Defender against Unnoticeable Graph Injection Attacks. - Linlin Su; Jinyan Wang; Zeming Gan; Xianxian Li (TrustCom, 2023)

Asymptotically Optimal Cascaded Coded Distributed Computing via Combinatorial Designs. - Minquan Cheng; Youlong Wu; Xianxian Li (CoRR, 2023)

Towards Unified Token Learning for Vision-Language Tracking. - Yaozong Zheng; Bineng Zhong; Qihua Liang; Guorong Li; Rongrong Ji; Xianxian Li (CoRR, 2023)

A Microgrid Trading Framework Based on PoC Consensus. - Lianghaojie Zhou; Youquan Xian; Yipeng Yang; Jianyong Jiang; Peng Liu 044; Xianxian Li (CoRR, 2023)

Multi-Access Coded Caching With Optimal Rate and Linear Subpacketization Under PDA and Consecutive Cyclic Placement. - Jinyu Wang; Minquan Cheng; Youlong Wu; Xianxian Li (IEEE Trans. Commun., 2023)

Robust Long-Term Tracking via Localizing Occluders. - Binfei Chu; Yiting Lin; Bineng Zhong; Zhenjun Tang; Xianxian Li; Jing Wang 049 (ACM Trans. Multim. Comput. Commun. Appl., 2023)

SiamBAN: Target-Aware Tracking With Siamese Box Adaptive Network. - Zedu Chen; Bineng Zhong; Guorong Li; Shengping Zhang; Rongrong Ji; Zhenjun Tang; Xianxian Li (IEEE Trans. Pattern Anal. Mach. Intell., 2023)

Robust Tracking via Uncertainty-Aware Semantic Consistency. - Jie Ma; Xiangyuan Lan; Bineng Zhong; Guorong Li; Zhenjun Tang; Xianxian Li; Rongrong Ji (IEEE Trans. Circuits Syst. Video Technol., 2023)

Leveraging Local and Global Cues for Visual Tracking via Parallel Interaction Network. - Yaozong Zheng; Bineng Zhong; Qihua Liang; Zhenjun Tang; Rongrong Ji; Xianxian Li (IEEE Trans. Circuits Syst. Video Technol., 2023)

A two-phase random forest with differential privacy. - Jing Liu; Xianxian Li; Quanmin Wei; Songfeng Liu; Zhaohui Liu; Jinyan Wang (Appl. Intell., 2023)

FedMBC: Personalized federated learning via mutually beneficial collaboration. - Yanxia Gong; Xianxian Li; Li-e Wang 001 (Comput. Commun., 2023)

AIC-GNN: Adversarial information completion for graph neural networks. - Quanmin Wei; Jinyan Wang; Xingcheng Fu; Jun Hu; Xianxian Li (Inf. Sci., 2023)

MuKGB-CRS: Guarantee privacy and authenticity of cross-domain recommendation via multi-feature knowledge graph integrated blockchain. - Li-e Wang 001; Yuelan Qi; Yan Bai; Zhigang Sun; Dongcheng Li 002; Xianxian Li (Inf. Sci., 2023)

Heterogeneous graph neural network with semantic-aware differential privacy guarantees. - Yuecen Wei; Xingcheng Fu; Dongqi Yan; Qingyun Sun; Hao Peng 001; Jia Wu 001; Jinyan Wang; Xianxian Li (Knowl. Inf. Syst., 2023)

Graph neural network based approach to automatically assigning common weakness enumeration identifiers for vulnerabilities. - Peng Liu 044; Wenzhe Ye; Haiying Duan; Xianxian Li; Shuyi Zhang; Chuanjian Yao; Yongnan Li (Cybersecur., 2023)

Explicit Visual Prompts for Visual Object Tracking. - Liangtao Shi; Bineng Zhong; Qihua Liang; Ning Li; Shengping Zhang; Xianxian Li (AAAI, 2024)

Poincaré Differential Privacy for Hierarchy-Aware Graph Embedding. - Yuecen Wei; Haonan Yuan; Xingcheng Fu; Qingyun Sun; Hao Peng 001; Xianxian Li; Chunming Hu (AAAI, 2024)

ODTrack: Online Dense Temporal Token Learning for Visual Tracking. - Yaozong Zheng; Bineng Zhong; Qihua Liang; Zhiyi Mo; Shengping Zhang; Xianxian Li (AAAI, 2024)

FedISMH: Federated Learning Via Inference Similarity for Model Heterogeneous. - Yongdong Li; Li-e Wang 001; Zhigang Sun; Xianxian Li; Hengtong Chang; Jinke Xu; Caiyi Lin (IEEE Big Data, 2024)

A Policy-Controlled Signature Scheme for end-to-end Secure Communication. - Feng Yu 006; Linghui Meng; Jing Xi; Xianxian Li; Qianhui Lu; Weidong Zhu (CBD, 2024)

Achieving Secure and Efficient Emergency Data Sharing based on Searchable Proxy Re- Encryption. - Feng Yu 006; Jing Xi; Linghui Meng; Daicen Jiang; Qianhui Lu; Xianxian Li (CBD, 2024)

A Blockchain-Based Auditing Scheme for Educational Data Supporting Trusted Detection. - Feng Yu; Qianhui Lu; Linghui Meng; Jiahui Peng; Jing Xi; Xianxian Li (CBD, 2024)

Dual Contrastive Learning and Dual Bi-directional Transformer Encoders for Sequential Recommendations. - Li-e Wang 001; Hengtong Chang; Rongwen Wei; Xianxian Li; Zhigang Sun; Yongdong Li; Yi Wei; Linghui Meng (CSCWD, 2024)

Multi-perspective Information and Multi-task Contrastive Learning for Sequential Recommendations. - Li-e Wang 001; Rongwen Wei; Hengtong Chang; Xianxian Li; Zhigang Sun; Tianran Liu (CSCWD, 2024)

Personalized federated learning based on feature fusion. - Wolong Xing; Zhenkui Shi; Hongyan Peng; Xiantao Hu; Yaozong Zheng; Xianxian Li (CSCWD, 2024)

SpanMRC: Query with Entity Length for MRC-Based Named Entity Recognition. - Hao Wu; Xianxian Li; Peng Liu 044; Li-e Wang 001; Danping Yang; Aoxiang Zhou (ICIC (LNAI 4), 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 044 (ICIC (LNAI 3), 2024)

CRFLOE: Context Region Filter and Relation Word Aware for Document-Level Relation Extraction. - Danping Yang; Xianxian Li; Hao Wu; Aoxiang Zhou; Peng Liu 044 (ICIC (LNAI 3), 2024)

Hyperbolic Geometric Latent Diffusion Model for Graph Generation. - Xingcheng Fu; Yisen Gao; Yuecen Wei; Qingyun Sun; Hao Peng 001; Jianxin Li 002; Xianxian Li (ICML, 2024)

Higher-order Semantic-aware Adaptive Graph Contrastive Learning. - Xianxian Li; Jiayue Zeng; Zhigang Sun; Li-e Wang 001 (IJCNN, 2024)

Knowledge-Aware Dual-Channel Graph Neural Networks For Denoising Recommendation. - Hanwen Zhang; Li-e Wang 001; Zhigang Sun; Xianxian Li (Comput. J., 2024)

Personalized federated learning based on feature fusion. - Wolong Xing; Zhenkui Shi; Hongyan Peng; Xiantao Hu; Xianxian Li (CoRR, 2024)

SEMSO: A Secure and Efficient Multi-Data Source Blockchain Oracle. - Youquan Xian; Xueying Zeng; Chunpei Li; Peng Wang; Dongcheng Li 002; Peng Liu 044; Xianxian Li (CoRR, 2024)

FedRGL: Robust Federated Graph Learning for Label Noise. - De Li; Haodong Qian; Qiyu Li; Zhou Tan; Zemin Gan; Jinyan Wang; Xianxian Li (CoRR, 2024)

MKNBL: Joint multi-channel knowledge-aware network and broad learning for sparse knowledge graph-based recommendation. - Li-e Wang 001; Yuelan Qi; Zhigang Sun; Xianxian Li (Neurocomputing, 2024)

RGB-T tracking with frequency hybrid awareness. - Lei Lei; Xianxian Li (Image Vis. Comput., 2024)

Contrastive learning of graphs under label noise. - Xianxian Li; Qiyu Li; De Li; Haodong Qian; Jinyan Wang (Neural Networks, 2024)

Robust Tracking via Bidirectional Transduction With Mask Information. - TianYu Ning; Bineng Zhong; Qihua Liang; Zhenjun Tang; Xianxian Li (IEEE Trans. Multim., 2024)

Transformer Tracking via Frequency Fusion. - Xiantao Hu; Bineng Zhong; Qihua Liang; Shengping Zhang; Ning Li; Xianxian Li; Rongrong Ji (IEEE Trans. Circuits Syst. Video Technol., 2024)

Optimizing Dynamic Cache Allocation in Vehicular Edge Networks: A Method Combining Multisource Data Prediction and Deep Reinforcement Learning. - Bin Qu; De Li; Xianxian Li (IEEE Internet Things J., 2024)

Positive-Sample-Free Object Tracking via a Soft Constraint. - Jiaxin Ye; Bineng Zhong; Qihua Liang; Shengping Zhang; Xianxian Li; Rongrong Ji (IEEE Trans. Circuits Syst. Video Technol., 2024)

Toward Unified Token Learning for Vision-Language Tracking. - Yaozong Zheng; Bineng Zhong; Qihua Liang; Guorong Li; Rongrong Ji; Xianxian Li (IEEE Trans. Circuits Syst. Video Technol., 2024)

Coded Caching for Dense-User Combination Network in Binary Field. - Mingming Zhang 003; Minquan Cheng; Youlong Wu; Xianxian Li (IEEE Trans. Commun., 2024)

A Dynamic Adaptive Framework for Practical Byzantine Fault Tolerance Consensus Protocol in the Internet of Things. - Chunpei Li; Wangjie Qiu; Xianxian Li; Chen Liu 039; Zhiming Zheng 001 (IEEE Trans. Computers, 2024)

Achieving fair and accountable data trading for educational multimedia data based on blockchain. - Xianxian Li; Jiahui Peng; Shiqi Gao; Zhenkui Shi; Chunpei Li (Wirel. Networks, 2024)

Asymptotically Optimal Coded Distributed Computing via Combinatorial Designs. - Minquan Cheng; Youlong Wu; Xianxian Li; Dianhua Wu (IEEE/ACM Trans. Netw., 2024)

A fair and verifiable federated learning profit-sharing scheme. - Xianxian Li; Mei Huang; Shiqi Gao; Zhenkui Shi (Wirel. Networks, 2024)

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 (Wirel. Networks, 2024)

Toward Modalities Correlation for RGB-T Tracking. - Xiantao Hu; Bineng Zhong; Qihua Liang; Shengping Zhang; Ning Li; Xianxian Li (IEEE Trans. Circuits Syst. Video Technol., 2024)

A Trustworthy and Consistent Blockchain Oracle Scheme for Industrial Internet of Things. - Peng Liu 044; Youquan Xian; Chuanjian Yao; Peng Wang; Li-e Wang 001; Xianxian Li (IEEE Trans. Netw. Serv. Manag., 2024)

CausalFD: causal invariance-based fraud detection against camouflaged preference. - Yudan Song; Yuecen Wei; Haonan Yuan; Qingyun Sun; Xingcheng Fu; Li-e Wang 001; Xianxian Li (Int. J. Mach. Learn. Cybern., 2024)

Bi-Directional Multi-Scale Graph Dataset Condensation via Information Bottleneck. - Xingcheng Fu; Yisen Gao; Beining Yang; Yuxuan Wu; Haodong Qian; Qingyun Sun; Xianxian Li (AAAI, 2025)

Discrete Curvature Graph Information Bottleneck. - Xingcheng Fu; Jian Wang; Yisen Gao; Qingyun Sun; Haonan Yuan; Jianxin Li 002; Xianxian Li (AAAI, 2025)

A Secure and Efficient Distributed Sharing Scheme with Attribute-Based Searchable Encryption. - Jinke Xu; Xianxian Li; Li-e Wang 001; Yongdong Li; Weidong Zhu (CSCWD, 2025)

Data Annotation Crowdsourcing Matching Optimization Method in Blockchain Environment: Based on Deep Reinforcement Learning. - Zhaorui Hou; Chunpei Li; Peng Liu; Xianxian Li; Yuxing Liu; Yanli Jin (ICIC (15), 2025)

Chain of Thought Guided Few-Shot Fine-Tuning of LLMs for Multimodal Aspect-Based Sentiment Classification. - Hao Wu; Danping Yang; Peng Liu 044; Xianxian Li (MMM (1), 2025)

Instant resonance: Dual strategy enhances the data consensus success rate of blockchain threshold signature oracles. - Youquan Xian; Xueying Zeng; Chunpei Li; Dongcheng Li 002; Peng Wang; Peng Liu 044; Xianxian Li (Future Gener. Comput. Syst., 2025)

D4A: An efficient and effective defense across agnostic adversarial attacks. - Xianxian Li; Zeming Gan; Yan Bai; Linlin Su; De Li; Jinyan Wang (Neural Networks, 2025)

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, 2025)

Synthesis of Opacity-Enforcing Supervisory Strategies Using Reinforcement Learning. - Huimin Zhang; Li Huang; Wanling Huang; Lei Feng 002; Xianxian Li (IEEE Trans Autom. Sci. Eng., 2025)

Multi-Modal Hybrid Interaction Vision-Language Tracking. - Lei Lei; Xianxian Li (IEEE Trans. Multim., 2025)

BAM_CRS: Blockchain-Based Anonymous Model for Cross-Domain Recommendation Systems. - Li-e Wang 001; Dong-Cheng Li 002; Peng Liu 044; Xianxian Li (J. Comput. Sci. Technol., 2025)

LLM-BSCVM: An LLM-Based Blockchain Smart Contract Vulnerability Management Framework. - Yanli Jin; Chunpei Li; Peng Fan; Peng Liu 044; Xianxian Li; Chen Liu 039; Wangjie Qiu (CoRR, 2025)

An Out-Of-Distribution Membership Inference Attack Approach for Cross-Domain Graph Attacks. - Jinyan Wang; Liu Yang; Yuecen Wei; Jiaxuan Si; Chenhao Guo; Qingyun Sun; Xianxian Li; Xingcheng Fu (CoRR, 2025)

Blockchain-Based Privacy-Preserving and Accountable Mobile Edge Outsourcing Computing Framework for the Metaverse. - Chunpei Li; Chen Liu 039; Peng Liu 044; Xianxian Li; Wangjie Qiu; Lei Lei; Yanli Jin (IEEE Trans. Green Commun. Netw., 2025)

Mitigating Message Imbalance in Fraud Detection with Dual-View Graph Representation Learning. - Yudan Song; Yuecen Wei; Yuhang Lu; Qingyun Sun; Minglai Shao 001; Li-e Wang; Chunming Hu; Xianxian Li; Xingcheng Fu (CoRR, 2025)

Towards Universal Modal Tracking with Online Dense Temporal Token Learning. - Yaozong Zheng; Bineng Zhong; Qihua Liang; Shengping Zhang; Guorong Li; Xianxian Li; Rongrong Ji (CoRR, 2025)

From GNN to MLP: Enhancing learning with knowledge-augmented distillation and confidence guidance. - Qiyu Li; Xianxian Li; De Li; Jinyan Wang (Inf. Fusion, 2026)

Semantic space aligned multimodal fake news detection. - Wenqian Shang; Kang Song; Jialing Ji; Tong Yi; Jiajun Cai; Xianxian Li (Inf. Fusion, 2026)