Complex Supply Networks Evolving Model: Complex Networks perspective. - Gang Li; Qi Xuan 001; Zhihuan Song; Xiaogang Jin 002 (ISKE, 2010)

One-to-Many Node Matching between Complex Networks. - Fang Du; Qi Xuan 001; Tie-Jun Wu (Adv. Complex Syst., 2010)

A Framework to Model the Topological Structure of Supply Networks. - Qi Xuan 001; Fang Du; Yanjun Li; Tie-Jun Wu (IEEE Trans Autom. Sci. Eng., 2011)

Measuring the Effect of Social Communications on Individual Working Rhythms: A Case Study of Open Source Software. - Qi Xuan 001; Mohammad Gharehyazie; Premkumar T. Devanbu; Vladimir Filkov (SocialInformatics, 2012)

Second-order consensus of multi-agent systems in the cooperation-competition network with switching topologies: A time-delayed impulsive control approach. - Hong-xiang Hu; Andong Liu; Qi Xuan 001; Li Yu 001; Guangming Xie (Syst. Control. Lett., 2013)

Synchrony in Social Groups and Its Benefits. - Qi Xuan 001; Vladimir Filkov (Handbook of Human Computation, 2013)

Building it together: synchronous development in OSS. - Qi Xuan 001; Vladimir Filkov (ICSE, 2014)

Focus-shifting patterns of OSS developers and their congruence with call graphs. - Qi Xuan 001; Aaron Okano; Premkumar T. Devanbu; Vladimir Filkov (SIGSOFT FSE, 2014)

Ranking Developer Candidates by Social Links. - Qi Xuan 001; Chenbo Fu; Li Yu 001 (Adv. Complex Syst., 2014)

Converging Work-Talk Patterns in Online Task-Oriented Communities. - Qi Xuan 001; Premkumar T. Devanbu; Vladimir Filkov (CoRR, 2014)

Group consensus for heterogeneous multi-agent systems with parametric uncertainties. - Hong-xiang Hu; Wenwu Yu; Qi Xuan 001; Chun-guo Zhang; Guangming Xie (Neurocomputing, 2014)

Consensus of multi-agent systems in the cooperation-competition network with inherent nonlinear dynamics: A time-delayed control approach. - Hong-xiang Hu; Wenwu Yu; Qi Xuan 001; Li Yu 001; Guangming Xie (Neurocomputing, 2015)

The sky is not the limit: multitasking across GitHub projects. - Bogdan Vasilescu; Kelly Blincoe; Qi Xuan 001; Casey Casalnuovo; Daniela E. Damian; Premkumar T. Devanbu; Vladimir Filkov (ICSE, 2016)

Reverse Group Consensus of Multi-Agent Systems in the Cooperation-Competition Network. - Hong-xiang Hu; Wenwu Yu; Guanghui Wen; Qi Xuan 001; Jinde Cao (IEEE Trans. Circuits Syst. I Regul. Pap., 2016)

A Framework for Bus Trajectory Extraction and Missing Data Recovery for Data Sampled from the Internet. - Changfei Tong; Huiling Chen 001; Qi Xuan 001; Xuhua Yang 001 (Sensors, 2017)

DOE-AND-SCA: A Novel SCA Based on DNN With Optimal Eigenvectors and Automatic Cluster Number Determination. - Jinyin Chen; Yangyang Wu; Xiang Lin; Qi Xuan 001 (IEEE Access, 2018)

Evolving Convolutional Neural Network and Its Application in Fine-Grained Visual Categorization. - Qi Xuan 001; Haoquan Xiao; Chenbo Fu; Yi Liu 024 (IEEE Access, 2018)

Fast Gradient Attack on Network Embedding. - Jinyin Chen; Yangyang Wu; Xuanheng Xu; Yixian Chen; Haibin Zheng; Qi Xuan 001 (CoRR, 2018)

Target Defense Against Link-Prediction-Based Attacks via Evolutionary Perturbations. - Shanqing Yu; Minghao Zhao 002; Chenbo Fu; Huimin Huang; Xincheng Shu; Qi Xuan 001; Guanrong Chen (CoRR, 2018)

Network-Based Ranking for Open Source Software Developer Prediction. - Zhefu Wu; Jianan Li; Chenbo Fu; Qi Xuan 001; Yun Xiang (Int. J. Softw. Eng. Knowl. Eng., 2018)

Accurate Indoor Localization Based on CSI and Visibility Graph. - Zhefu Wu; Lei Jiang; Zhuangzhuang Jiang; Bin Chen; Kai Liu; Qi Xuan 001; Yun Xiang (Sensors, 2018)

Modern Food Foraging Patterns: Geography and Cuisine Choices of Restaurant Patrons on Yelp. - Qi Xuan 001; Mingming Zhou; Zhiyuan Zhang; Chenbo Fu; Yun Xiang; Zhefu Wu; Vladimir Filkov (IEEE Trans. Comput. Soc. Syst., 2018)

Social Synchrony on Complex Networks. - Qi Xuan 001; Zhiyuan Zhang; Chenbo Fu; Hong-xiang Hu; Vladimir Filkov (IEEE Trans. Cybern., 2018)

Automatic Pearl Classification Machine Based on a Multistream Convolutional Neural Network. - Qi Xuan 001; Binwei Fang; Yi Liu 024; Jinbao Wang; Jian Zhang 023; Yayu Zheng; Guanjun Bao (IEEE Trans. Ind. Electron., 2018)

Link Weight Prediction Using Supervised Learning Methods and Its Application to Yelp Layered Network. - Chenbo Fu; Minghao Zhao 002; Lu Fan; Xinyi Chen; Jinyin Chen; Zhefu Wu; Yongxiang Xia; Qi Xuan 001 (IEEE Trans. Knowl. Data Eng., 2018)

Swarming Behavior of Multiple Euler-Lagrange Systems With Cooperation-Competition Interactions: An Auxiliary System Approach. - Hong-xiang Hu; Guanghui Wen; Wenwu Yu; Qi Xuan 001; Guanrong Chen (IEEE Trans. Neural Networks Learn. Syst., 2018)

Passive Indoor Localization Based on CSI and Naive Bayes Classification. - Zhefu Wu; Qiang Xu; Jianan Li; Chenbo Fu; Qi Xuan 001; Yun Xiang (IEEE Trans. Syst. Man Cybern. Syst., 2018)

Short-Term Traffic Flow Prediction using Attention-Based Long Short-Term Memory Network. - Peng Peng; Dongwei Xu; He Gao; Qi Xuan 001; Yi Liu 024; Haifeng Guo; Defeng He (DSC, 2019)

Multiview Transfer Learning for Software Defect Prediction. - Jinyin Chen; Yitao Yang; Keke Hu; Qi Xuan 001; Yi Liu 024; Chao Yang 019 (IEEE Access, 2019)

MV-C3D: A Spatial Correlated Multi-View 3D Convolutional Neural Networks. - Qi Xuan 001; Fuxian Li; Yi Liu 024; Yun Xiang (IEEE Access, 2019)

Robustness Analysis of Bipartite Task Assignment Networks: A Case Study in Hospital Logistics System. - Qi Xuan 001; Yewei Yu; Jinyin Chen; Zhongyuan Ruan; Zhong Fu; Zicong Lv (IEEE Access, 2019)

FGCH: a fast and grid based clustering algorithm for hybrid data stream. - Jinyin Chen; Xiang Lin; Qi Xuan 001; Yun Xiang (Appl. Intell., 2019)

DGEPN-GCEN2V: a new framework for mining GGI and its application in biomarker detection. - Jinyin Chen; Haibin Zheng; Hui Xiong 005; Yangyang Wu; Xiang Lin; Shiyan Ying; Qi Xuan 001 (Sci. China Inf. Sci., 2019)

E-LSTM-D: A Deep Learning Framework for Dynamic Network Link Prediction. - Jinyin Chen; Jian Zhang 023; Xuanheng Xu; Chengbo Fu; Dan Zhang 001; Qingpeng Zhang; Qi Xuan 001 (CoRR, 2019)

Can Adversarial Network Attack be Defended? - Jinyin Chen; Yangyang Wu; Xiang Lin; Qi Xuan 001 (CoRR, 2019)

Unsupervised Euclidean Distance Attack on Network Embedding. - Qi Xuan 001; Jun Zheng; Lihong Chen; Shanqing Yu; Jinyin Chen; Dan Zhang 001; Qingpeng Zhang (CoRR, 2019)

Adversarial Enhancement for Community Detection in Complex Networks. - Jiajun Zhou; Zhi Chen 028; Min Du 003; Lihong Chen; Shanqing Yu; Feifei Li 001; Guanrong Chen; Qi Xuan 001 (CoRR, 2019)

GA-Based Q-Attack on Community Detection. - Jinyin Chen; Lihong Chen; Yixian Chen; Minghao Zhao 002; Shanqing Yu; Qi Xuan 001; Xiaoniu Yang (IEEE Trans. Comput. Soc. Syst., 2019)

N2VSCDNNR: A Local Recommender System Based on Node2vec and Rich Information Network. - Jinyin Chen; Yangyang Wu; Lu Fan; Xiang Lin; Haibin Zheng; Shanqing Yu; Qi Xuan 001 (IEEE Trans. Comput. Soc. Syst., 2019)

PSO-ANE: Adaptive Network Embedding With Particle Swarm Optimization. - Jinyin Chen; Yangyang Wu; Xuanheng Xu; Haibin Zheng; Zhongyuan Ruan; Qi Xuan 001 (IEEE Trans. Comput. Soc. Syst., 2019)

Analysis of Hospitalizing Behaviors Based on Big Trajectory Data. - Yongdong Wang; Dongwei Xu; Peng Peng; Qi Xuan 001; Gui-jun Zhang (IEEE Trans. Comput. Soc. Syst., 2019)

Multiview Generative Adversarial Network and Its Application in Pearl Classification. - Qi Xuan 001; Zhuangzhi Chen; Yi Liu 024; Huimin Huang; Guanjun Bao; Dan Zhang 001 (IEEE Trans. Ind. Electron., 2019)

Adversarial Detection on Graph Structured Data. - Jinyin Chen; Huiling Xu; Jinhuan Wang; Qi Xuan 001; Xuhong Zhang 002 (PPMLP@CCS, 2020)

SPA: Stealthy Poisoning Attack. - Jinyin Chen; Longyuan Zhang; Haibin Zheng; Qi Xuan 001 (CIAT, 2020)

Hyper-Substructure Enhanced Link Predictor. - Jian Zhang 023; Jun Zheng; Jinyin Chen; Qi Xuan 001 (CIKM, 2020)

Data Augmentation for Graph Classification. - Jiajun Zhou; Jie Shen 014; Qi Xuan 001 (CIKM, 2020)

Unsupervised Euclidean Distance Attack on Network Embedding. - Shanqing Yu; Jun Zheng; Jinyin Chen; Qi Xuan 001; Qingpeng Zhang (DSC, 2020)

Software visualization and deep transfer learning for effective software defect prediction. - Jinyin Chen; Keke Hu; Yue Yu 001; Zhuangzhi Chen; Qi Xuan 001; Yi Liu 024; Vladimir Filkov (ICSE, 2020)

Efficient Incremental Learning Using Dynamic Correction Vector. - Yun Xiang; Yongbiao Miao; Jingyin Chen; Qi Xuan 001 (IEEE Access, 2020)

Adversarial Attacks to Scale-Free Networks: Testing the Robustness of Physical Criteria. - Qi Xuan 001; Yalu Shan; Jinhuan Wang; Zhongyuan Ruan; Guanrong Chen (CoRR, 2020)

Modeling the heterogeneous disease-behavior-information dynamics during epidemics. - Yang Ye; Qingpeng Zhang; Zhongyuan Ruan; Zhidong Cao; Qi Xuan 001; Daniel Dajun Zeng (CoRR, 2020)

SigNet: An Advanced Deep Learning Framework for Radio Signal Classification. - Zhuangzhi Chen; Hui Cui; Jingyang Xiang; Kunfeng Qiu; Liang Huang 006; Shilian Zheng; Shichuan Chen; Qi Xuan 001; Xiaoniu Yang (CoRR, 2020)

Time-Series Snapshot Network as A New Model for Role Recommendation in OSS. - Jinyin Chen; Yunyi Xie; Jian Zhang 023; Xincheng Shu; Qi Xuan 001 (CoRR, 2020)

Collective transfer learning for defect prediction. - Jinyin Chen; Keke Hu; Yitao Yang; Yi Liu 024; Qi Xuan 001 (Neurocomputing, 2020)

Open DNN Box by Power Side-Channel Attack. - Yun Xiang; Zhuangzhi Chen; Zuohui Chen; Zebin Fang; Haiyang Hao; Jinyin Chen; Yi Liu 024; Zhefu Wu; Qi Xuan 001; Xiaoniu Yang (IEEE Trans. Circuits Syst., 2020)

NES-TL: Network Embedding Similarity-Based Transfer Learning. - Chenbo Fu; Yongli Zheng; Yi Liu 024; Qi Xuan 001; Guanrong Chen (IEEE Trans. Netw. Sci. Eng., 2020)

A Self-Learning Information Diffusion Model for Smart Social Networks. - Qi Xuan 001; Xincheng Shu; Zhongyuan Ruan; Jinbao Wang; Chenbo Fu; Guanrong Chen (IEEE Trans. Netw. Sci. Eng., 2020)

Identity Inference on Blockchain Using Graph Neural Network. - Jie Shen 014; Jiajun Zhou; Yunyi Xie; Shanqing Yu; Qi Xuan 001 (BlockSys, 2021)

TSGN: Transaction Subgraph Networks for Identifying Ethereum Phishing Accounts. - Jinhuan Wang; Pengtao Chen; Shanqing Yu; Qi Xuan 001 (BlockSys, 2021)

Temporal-Amount Snapshot MultiGraph for Ethereum Transaction Tracking. - Yunyi Xie; Jie Jin; Jian Zhang 023; Shanqing Yu; Qi Xuan 001 (BlockSys, 2021)

Ponzi Scheme Detection in Ethereum Transaction Network. - Shanqing Yu; Jie Jin; Yunyi Xie; Jie Shen 014; Qi Xuan 001 (BlockSys, 2021)

Detecting Adversarial Samples with Graph-Guided Testing. - Zuohui Chen; Renxuan Wang; Jingyang Xiang; Yue Yu 001; Xin Xia 001; Shouling Ji; Qi Xuan 001; Xiaoniu Yang (ASE, 2021)

Apache Software Foundation Incubator Project Sustainability Dataset. - Likang Yin; Zhiyuan Zhang; Qi Xuan 001; Vladimir Filkov (MSR, 2021)

Sustainability forecasting for Apache incubator projects. - Likang Yin; Zhuangzhi Chen; Qi Xuan 001; Vladimir Filkov (ESEC/SIGSOFT FSE, 2021)

You Can't Fool All the Models: Detect Adversarial Samples via Pruning Models. - Renxuan Wang; Zuohui Chen; Hui Dong; Qi Xuan 001 (IEEE Access, 2021)

MITNet: GAN Enhanced Magnetic Induction Tomography Based on Complex CNN. - Zuohui Chen; Qing Yuan; Xujie Song; Cheng Chen; Dan Zhang 001; Yun Xiang; Ruigang Liu; Qi Xuan 001 (CoRR, 2021)

Ponzi Scheme Detection in EthereumTransaction Network. - Shanqing Yu; Jie Jin; Yunyi Xie; Jie Shen 014; Qi Xuan 001 (CoRR, 2021)

CLPVG: Circular limited penetrable visibility graph as a new network model for time series. - Qi Xuan 001; Jinchao Zhou; Kunfeng Qiu; Dongwei Xu; Shilian Zheng; Xiaoniu Yang (CoRR, 2021)

Adaptive Visibility Graph Neural Network and its Application in Modulation Classification. - Qi Xuan 001; Kunfeng Qiu; Jinchao Zhou; Zhuangzhi Chen; Dongwei Xu; Shilian Zheng; Xiaoniu Yang (CoRR, 2021)

DeepInsight: Interpretability Assisting Detection of Adversarial Samples on Graphs. - Junhao Zhu 001; Yalu Shan; Jinhuan Wang; Shanqing Yu; Guanrong Chen; Qi Xuan 001 (CoRR, 2021)

Inferring Multiple Relationships between ASes using Graph Convolutional Network. - Songtao Peng; Xincheng Shu; Zhongyuan Ruan; Zegang Huang; Qi Xuan 001 (CoRR, 2021)

RGP: Neural Network Pruning through Its Regular Graph Structure. - Zhuangzhi Chen; Jingyang Xiang; Yao Lu; Qi Xuan 001 (CoRR, 2021)

Graph-Based Similarity of Neural Network Representations. - Zuohui Chen; Yao Lu; Wen Yang; Qi Xuan 001; Xiaoniu Yang (CoRR, 2021)

COREATTACK: Breaking Up the Core Structure of Graphs. - Bo Zhou 022; Yuqian Lv; Jinhuan Wang; Jian Zhang 023; Qi Xuan 001 (CoRR, 2021)

Data Augmentation Based on Null Model for Graph Classification. - Qi Xuan 001; Zeyu Wang 011; Jinhuan Wang; Yalu Shan (CoRR, 2021)

BlockGC: A Joint Learning Framework for Account Identity Inference on Blockchain with Graph Contrast. - Jiajun Zhou; Chenkai Hu; Shengbo Gong; Jiaying Xu; Jie Shen 014; Qi Xuan 001 (CoRR, 2021)

FEM: Feature extraction and mapping for radio modulation classification. - Jinyin Chen; Hui Cui; Shenghuan Miao; Changan Wu; Haibin Zheng; Shilian Zheng; Liang Huang 006; Qi Xuan 001 (Phys. Commun., 2021)

Side-Channel Gray-Box Attack for DNNs. - Yun Xiang; Yongchao Xu; Yingjie Li; Wen Ma; Qi Xuan 001; Yi Liu 024 (IEEE Trans. Circuits Syst. II Express Briefs, 2021)

Robust Finite-Time Dynamic Average Consensus With Exponential Convergence Rates. - Kedong Xu; Lan Gao; Fei Chen 008; Chaojie Li; Qi Xuan 001 (IEEE Trans. Circuits Syst. II Express Briefs, 2021)

Adversarial Examples Detection of Radio Signals Based on Multifeature Fusion. - Dongwei Xu; Hao Yang; Chuntao Gu; Zhuangzhi Chen; Qi Xuan 001; Xiaoniu Yang (IEEE Trans. Circuits Syst. II Express Briefs, 2021)

Multiscale Evolutionary Perturbation Attack on Community Detection. - Jinyin Chen; Yixian Chen; Lihong Chen; Minghao Zhao 002; Qi Xuan 001 (IEEE Trans. Comput. Soc. Syst., 2021)

MGA: Momentum Gradient Attack on Network. - Jinyin Chen; Yixian Chen; Haibin Zheng; Shijing Shen; Shanqing Yu; Dan Zhang 001; Qi Xuan 001 (IEEE Trans. Comput. Soc. Syst., 2021)

Smoothing Adversarial Training for GNN. - Jinyin Chen; Xiang Lin; Hui Xiong 005; Yangyang Wu; Haibin Zheng; Qi Xuan 001 (IEEE Trans. Comput. Soc. Syst., 2021)

HVAQ: A High-Resolution Vision-Based Air Quality Dataset. - Zuohui Chen; Tony Zhang; Zhuangzhi Chen; Yun Xiang; Qi Xuan 001; Robert P. Dick (IEEE Trans. Instrum. Meas., 2021)

A New Interpretable Learning Method for Fault Diagnosis of Rolling Bearings. - Dan Zhang 001; Yongyi Chen; Fanghong Guo; Hamid Reza Karimi; Hui Dong; Qi Xuan 001 (IEEE Trans. Instrum. Meas., 2021)

Subgraph Networks With Application to Structural Feature Space Expansion. - Qi Xuan 001; Jinhuan Wang; Minghao Zhao 002; Junkun Yuan; Chenbo Fu; Zhongyuan Ruan; Guanrong Chen (IEEE Trans. Knowl. Data Eng., 2021)

Target Defense Against Link-Prediction-Based Attacks via Evolutionary Perturbations. - Shanqing Yu; Minghao Zhao 002; Chenbo Fu; Jun Zheng; Huimin Huang; Xincheng Shu; Qi Xuan 001; Guanrong Chen (IEEE Trans. Knowl. Data Eng., 2021)

Sampling Subgraph Network With Application to Graph Classification. - Jinhuan Wang; Pengtao Chen; Bin Ma 025; Jiajun Zhou; Zhongyuan Ruan; Guanrong Chen; Qi Xuan 001 (IEEE Trans. Netw. Sci. Eng., 2021)

M-Evolve: Structural-Mapping-Based Data Augmentation for Graph Classification. - Jiajun Zhou; Jie Shen 014; Shanqing Yu; Guanrong Chen; Qi Xuan 001 (IEEE Trans. Netw. Sci. Eng., 2021)

Corrections to "M-Evolve: Structural-Mapping-Based Data Augmentation for Graph Classification". - Jiajun Zhou; Jie Shen 014; Shanqing Yu; Guanrong Chen; Qi Xuan 001 (IEEE Trans. Netw. Sci. Eng., 2021)

E-LSTM-D: A Deep Learning Framework for Dynamic Network Link Prediction. - Jinyin Chen; Jian Zhang 023; Xuanheng Xu; Chenbo Fu; Dan Zhang 001; Qingpeng Zhang; Qi Xuan 001 (IEEE Trans. Syst. Man Cybern. Syst., 2021)

Network Embedding Attack: An Euclidean Distance Based Method. - Shanqing Yu; Jun Zheng; Yongqi Wang; Jinyin Chen; Qi Xuan 001; Qingpeng Zhang (MDATA: A New Knowledge Representation Model, 2021)

Improving Robustness of Language Models from a Geometry-aware Perspective. - Bin Zhu 015; Zhaoquan Gu; Le Wang 008; Jinyin Chen; Qi Xuan 001 (ACL (Findings), 2022)

Adversarial Examples Detection of Electromagnetic Signal Based on GAN. - Jiawei Zhu; Jiangpeng Li; Dongwei Xu; Chuntao Gu; Qi Xuan 001; Shunling Wang (BigCom, 2022)

Cross Cryptocurrency Relationship Mining for Bitcoin Price Prediction. - Panpan Li; Shengbo Gong; Shaocong Xu; Jiajun Zhou; Shanqing Yu; Qi Xuan 001 (BlockSys, 2022)

Phishing Fraud Detection on Ethereum Using Graph Neural Network. - Panpan Li; Yunyi Xie; Xinyao Xu; Jiajun Zhou; Qi Xuan 001 (BlockSys, 2022)

Understanding the Dynamics of DNNs Using Graph Modularity. - Yao Lu; Wen Yang; Yunzhe Zhang; Zuohui Chen; Jinyin Chen; Qi Xuan 001; Zhen Wang 004; Xiaoniu Yang (ECCV (12), 2022)

A Rapid Source Localization Method in the Early Stage of Large-scale Network Propagation. - Zhen Wang 004; Dongpeng Hou; Chao Gao; Jiajin Huang; Qi Xuan 001 (WWW, 2022)

A multi-view framework for BGP anomaly detection via graph attention network. - Songtao Peng; Jiaqi Nie; Xincheng Shu; Zhongyuan Ruan; Lei Wang; Yunxuan Sheng; Qi Xuan 001 (Comput. Networks, 2022)

DeepSensor: Deep Learning Testing Framework Based on Neuron Sensitivity. - Haibo Jin; Ruoxi Chen; Haibin Zheng; Jinyin Chen; Zhenguang Liu; Qi Xuan 001; Yue Yu 001; Yao Cheng (CoRR, 2022)

Hyperspectral Imaging for cherry tomato. - Yun Xiang; Qijun Chen; Zhongjin Su; Lu Zhang; Zuohui Chen; Guozhi Zhou; Zhuping Yao; Qi Xuan 001; Yuan Cheng (CoRR, 2022)

SubGraph Networks based Entity Alignment for Cross-lingual Knowledge Graph. - Shanqing Yu; Shihan Zhang; Jianlin Zhang; Jiajun Zhou; Qi Xuan 001; Bing Li; Xiaojuan Hu (CoRR, 2022)

Dual-channel Early Warning Framework for Ethereum Ponzi Schemes. - Jie Jin; Jiajun Zhou; Chengxiang Jin; Shanqing Yu; Ziwan Zheng; Qi Xuan 001 (CoRR, 2022)

Discover Important Paths in the Knowledge Graph Based on Dynamic Relation Confidence. - Shanqing Yu; Yijun Wu; Ran Gan; Jiajun Zhou; Ziwan Zheng; Qi Xuan 001 (CoRR, 2022)

Data Augmentation on Graphs: A Survey. - Jiajun Zhou; Chenxuan Xie; Zhenyu Wen; Xiangyu Zhao 001; Qi Xuan 001 (CoRR, 2022)

Salient feature extractor for adversarial defense on deep neural networks. - Ruoxi Chen; Jinyin Chen; Haibin Zheng; Qi Xuan 001; Zhaoyan Ming; Wenrong Jiang; Chen Cui (Inf. Sci., 2022)

Heterogeneous Feature Augmentation for Ponzi Detection in Ethereum. - Chengxiang Jin; Jie Jin; Jiajun Zhou; Jiajing Wu; Qi Xuan 001 (IEEE Trans. Circuits Syst. II Express Briefs, 2022)

The Robustness of Graph k-Shell Structure Under Adversarial Attacks. - Bo Zhou 022; Yuqian Lv; Yongchao Mao; Jinhuan Wang; Shanqing Yu; Qi Xuan 001 (IEEE Trans. Circuits Syst. II Express Briefs, 2022)

SigNet: A Novel Deep Learning Framework for Radio Signal Classification. - Zhuangzhi Chen; Hui Cui; Jingyang Xiang; Kunfeng Qiu; Liang Huang 006; Shilian Zheng; Shichuan Chen; Qi Xuan 001; Xiaoniu Yang (IEEE Trans. Cogn. Commun. Netw., 2022)

Time-Series Snapshot Network for Partner Recommendation: A Case Study on OSS. - Yunyi Xie; Jinyin Chen; Jian Zhang 023; Xincheng Shu; Qi Xuan 001 (IEEE Trans. Comput. Soc. Syst., 2022)

A Comorbidity Knowledge-Aware Model for Disease Prognostic Prediction. - Zhongzhi Xu; Jian Zhang 023; Qingpeng Zhang; Qi Xuan 001; Paul Siu Fai Yip (IEEE Trans. Cybern., 2022)

Behavior-Aware Account De-Anonymization on Ethereum Interaction Graph. - Jiajun Zhou; Chenkai Hu; Jianlei Chi; Jiajing Wu; Meng Shen 001; Qi Xuan 001 (IEEE Trans. Inf. Forensics Secur., 2022)

AvgNet: Adaptive Visibility Graph Neural Network and Its Application in Modulation Classification. - Qi Xuan 001; Jinchao Zhou; Kunfeng Qiu; Zhuangzhi Chen; Dongwei Xu; Shilian Zheng; Xiaoniu Yang (IEEE Trans. Netw. Sci. Eng., 2022)

Deep Learning Applications - In Computer Vision, Signals and Networks - Qi Xuan 001; Yun Xiang; Dongwei Xu (Deep Learning Applications, 2023)

Neighborhood Homophily-based Graph Convolutional Network. - Shengbo Gong; Jiajun Zhou; Chenxuan Xie; Qi Xuan 001 (CIKM, 2023)

Empirical Study of the IPv4 and IPv6 Networks at the Autonomous System Level. - Jiaqi Nie; Jiangtao Hao; Songtao Peng; Xincheng Shu; Zhongyuan Ruan; Qi Xuan 001 (DSC, 2023)

SR-init: An Interpretable Layer Pruning Method. - Hui Tang; Yao Lu; Qi Xuan 001 (ICASSP, 2023)

UAP Attack for Radio Signal Modulation Classification Based on Deep Learning. - Weiguo Shen; Jiangpeng Li; Chuntao Gu; Qi Xuan 001; Dongwei Xu; Xiaoniu Yang (ICCT, 2023)

Multi-triplet Feature Augmentation for Ponzi Scheme Detection in Ethereum. - Chengxiang Jin; Jiajun Zhou; Shengbo Gong; Chenxuan Xie; Qi Xuan 001 (ICDM (Workshops), 2023)

Targeted k-node Collapse Problem: Towards Understanding the Robustness of Local k-core Structure. - Yuqian Lv; Bo Zhou 022; Jinhuan Wang; Qi Xuan 001 (CoRR, 2023)

Neighborhood Homophily-Guided Graph Convolutional Network. - Shengbo Gong; Jiajun Zhou; Chenxuan Xie; Qi Xuan 001 (CoRR, 2023)

Single Node Injection Label Specificity Attack on Graph Neural Networks via Reinforcement Learning. - Dayuan Chen; Jian Zhang 023; Yuqian Lv; Jinhuan Wang; Hongjie Ni; Shanqing Yu; Zhen Wang 004; Qi Xuan 001 (CoRR, 2023)

Exploring Inductive Biases in Contrastive Learning: A Clustering Perspective. - Yunzhe Zhang; Yao Lu; Lei Xu; Kunlin Yang; Hui Tang; Shuyuan Ye; Qi Xuan 001 (CoRR, 2023)

Clarify Confused Nodes Through Separated Learning. - Shengbo Gong; Jiajun Zhou; Qi Xuan 001 (CoRR, 2023)

Subgraph Networks Based Contrastive Learning. - Jinhuan Wang; Jiafei Shao; Zeyu Wang 011; Shanqing Yu; Qi Xuan 001; Xiaoniu Yang (CoRR, 2023)

PathMLP: Smooth Path Towards High-order Homophily. - Chenxuan Xie; Jiajun Zhou; Shengbo Gong; Jiacheng Wan; Jiaxu Qian; Shanqing Yu; Qi Xuan 001; Xiaoniu Yang (CoRR, 2023)

Photonic time-delayed reservoir computing based on series coupled microring resonators with high memory capacity. - Yijia Li; Ming Li; Mingyi Gao; Chang-Ling Zou; Chunhua Dong; Jin Lu 007; Yali Qin; Xiaoniu Yang; Qi Xuan 001; Hongliang Ren 004 (CoRR, 2023)

Can pre-trained models assist in dataset distillation? - Yao Lu; Xuguang Chen; Yuchen Zhang; Jianyang Gu; Tianle Zhang; Yifan Zhang 004; Xiaoniu Yang; Qi Xuan 001; Kai Wang 036; Yang You 001 (CoRR, 2023)

Attacking The Assortativity Coefficient Under A Rewiring Strategy. - Shuo Zou; Bo Zhou 022; Qi Xuan 001 (CoRR, 2023)

BufferSearch: Generating Black-Box Adversarial Texts With Lower Queries. - Wenjie Lv; Zhen Wang 013; Yitao Zheng; Zhehua Zhong; Qi Xuan 001; Tianyi Chen (CoRR, 2023)

Deep Learning-Based Frequency Offset Estimation. - Tao Chen 049; Shilian Zheng; Jiawei Zhu; Qi Xuan 001; Xiaoniu Yang (CoRR, 2023)

MAD-MulW: A Multi-Window Anomaly Detection Framework for BGP Security Events. - Songtao Peng; Yiping Chen; Xincheng Shu; Shuai Wu; Shenhao Fang; Zhongyuan Ruan; Qi Xuan 001 (CoRR, 2023)

Time-Aware Gradient Attack on Dynamic Network Link Prediction. - Jinyin Chen; Jian Zhang 023; Zhi Chen 028; Min Du 003; Qi Xuan 001 (IEEE Trans. Knowl. Data Eng., 2023)

RobustECD: Enhancement of Network Structure for Robust Community Detection. - Jiajun Zhou; Zhi Chen 028; Min Du 003; Lihong Chen; Shanqing Yu; Guanrong Chen; Qi Xuan 001 (IEEE Trans. Knowl. Data Eng., 2023)

EMD and VMD Empowered Deep Learning for Radio Modulation Recognition. - Tao Chen 049; Shuncheng Gao; Shilian Zheng; Shanqing Yu; Qi Xuan 001; Caiyi Lou; Xiaoniu Yang (IEEE Trans. Cogn. Commun. Netw., 2023)

Attacking the Core Structure of Complex Network. - Bo Zhou 022; Yuqian Lv; Jinhuan Wang; Jian Zhang 023; Qi Xuan 001 (IEEE Trans. Comput. Soc. Syst., 2023)

Exploring the Impact of Dataset Bias on Dataset Distillation. - Yao Lu; Jianyang Gu; Xuguang Chen; Saeed Vahidian; Qi Xuan 001 (CVPR Workshops, 2024)

A Federated Parameter Aggregation Method for Node Classification Tasks with Different Graph Network Structures. - Hao Song; Jiacheng Yao; Xuanze Chen; Shaocong Xu; Shibo Jin; Jiajun Zhou; Chenbo Fu; Qi Xuan 001; Shanqing Yu (DSPP (1), 2024)

RK-CORE: An Established Methodology for Exploring the Hierarchical Structure within Datasets. - Yao Lu; Yutian Huang; Jiaqi Nie; Zuohui Chen; Qi Xuan 001 (ICASSP, 2024)

CMA: A Cross-Modal Attack on Radar Signal Recognition Model Based on Time-Frequency Analysis. - Mengchao Wang; Sicheng Zhang; Qi Xuan 001; Yun Lin 005 (ICC, 2024)

Interpretability Based Neural Network Repair. - Zuohui Chen; Jun Zhou; Youcheng Sun; Jingyi Wang 004; Qi Xuan 001; Xiaoniu Yang (ISSTA, 2024)

How Does Contrastive Learning Organize Images? - Yunzhe Zhang; Yao Lu; Qi Xuan 001 (WACV (Workshops), 2024)

Mix-Key: graph mixup with key structures for molecular property prediction. - Tianyi Jiang; Zeyu Wang 011; Wenchao Yu; Jinhuan Wang; Shanqing Yu; Xiaoze Bao; Bin Wei; Qi Xuan 001 (Briefings Bioinform., 2024)

Like teacher, like pupil: Transferring backdoors via feature-based knowledge distillation. - Jinyin Chen; Zhiqi Cao; Ruoxi Chen; Haibin Zheng; Xiao Li; Qi Xuan 001; Xing Yang 004 (Comput. Secur., 2024)

GGT: Graph-guided testing for adversarial sample detection of deep neural network. - Zuohui Chen; Renxuan Wang; Jingyang Xiang; Yue Yu 001; Xin Xia 001; Shouling Ji; Qi Xuan 001; Xiaoniu Yang (Comput. Secur., 2024)

Multi-Modal Representation Learning for Molecular Property Prediction: Sequence, Graph, Geometry. - Zeyu Wang 011; Tianyi Jiang; Jinhuan Wang; Qi Xuan 001 (CoRR, 2024)

Backfire Effect Reveals Early Controversy in Online Media. - Songtao Peng; Chenbo Fu; Han Han; Ye Wu; Kailun Zhu; Qi Xuan 001; Yong Min (CoRR, 2024)

A Federated Parameter Aggregation Method for Node Classification Tasks with Different Graph Network Structures. - Hao Song; Jiacheng Yao; Zhengxi Li; Shaocong Xu; Shibo Jin; Jiajun Zhou; Chenbo Fu; Qi Xuan 001; Shanqing Yu (CoRR, 2024)

Improving Network Degree Correlation by Degree-preserving Rewiring. - Shuo Zou; Bo Zhou 022; Qi Xuan 001 (CoRR, 2024)

Facilitating Feature and Topology Lightweighting: An Ethereum Transaction Graph Compression Method for Malicious Account Detection. - Xuanze Chen; Chenkai Hu; Shengbo Gong; Chengxiang Jin; Jiajun Zhou; Shanqing Yu; Qi Xuan 001 (CoRR, 2024)

Knowledge-enhanced Relation Graph and Task Sampling for Few-shot Molecular Property Prediction. - Zeyu Wang 011; Tianyi Jiang; Yao Lu; Xiaoze Bao; Shanqing Yu; Bin Wei; Qi Xuan 001 (CoRR, 2024)

Dual-view Aware Smart Contract Vulnerability Detection for Ethereum. - Jiacheng Yao; Maolin Wang; Wanqi Chen; Chengxiang Jin; Jiajun Zhou; Shanqing Yu; Qi Xuan 001 (CoRR, 2024)

Exploring agent interaction patterns in the comment sections of fake and real news. - Kailun Zhu; Songtao Peng; Jiaqi Nie; Zhongyuan Ruan; Shanqing Yu; Qi Xuan 001 (CoRR, 2024)

Enhancing Ethereum Fraud Detection via Generative and Contrastive Self-supervision. - Chenxiang Jin; Jiajun Zhou; Chenxuan Xie; Shanqing Yu; Qi Xuan 001; Xiaoniu Yang (CoRR, 2024)

MDM: Advancing Multi-Domain Distribution Matching for Automatic Modulation Recognition Dataset Synthesis. - Dongwei Xu; Jiajun Chen; Yao Lu; Tianhao Xia; Qi Xuan 001; Wei Wang 144; Yun Lin 005; Xiaoniu Yang (CoRR, 2024)

Network Anomaly Traffic Detection via Multi-view Feature Fusion. - Song Hao; Wentao Fu; Xuanze Chen; Chengxiang Jin; Jiajun Zhou; Shanqing Yu; Qi Xuan 001 (CoRR, 2024)

Rethinking Graph Transformer Architecture Design for Node Classification. - Jiajun Zhou; Xuanze Chen; Chenxuan Xie; Shanqing Yu; Qi Xuan 001; Xiaoniu Yang (CoRR, 2024)

Double Whammy: Stealthy Data Manipulation aided Reconstruction Attack on Graph Federated Learning. - Jinyin Chen; Minying Ma; Haibin Zheng; Qi Xuan 001 (CoRR, 2024)

Lateral Movement Detection via Time-aware Subgraph Classification on Authentication Logs. - Jiajun Zhou; Jiacheng Yao; Xuanze Chen; Shanqing Yu; Qi Xuan 001; Xiaoniu Yang (CoRR, 2024)

RedTest: Towards Measuring Redundancy in Deep Neural Networks Effectively. - Yao Lu; Peixin Zhang 001; Jingyi Wang 004; Lei Ma; Xiaoniu Yang; Qi Xuan 001 (CoRR, 2024)

Reassessing Layer Pruning in LLMs: New Insights and Methods. - Yao Lu; Hao Cheng; Yujie Fang; Zeyu Wang 011; Jiaheng Wei; Dongwei Xu; Qi Xuan 001; Xiaoniu Yang; Zhaowei Zhu (CoRR, 2024)

Efficient Parallel Genetic Algorithm for Perturbed Substructure Optimization in Complex Network. - Shanqing Yu; Meng Zhou; Jintao Zhou; Minghao Zhao 002; Yidan Song; Yao Lu; Zeyu Wang 011; Qi Xuan 001 (CoRR, 2024)

LLMs-based machine translation for E-commerce. - Dehong Gao; Kaidi Chen; Ben Chen; Huangyu Dai; Linbo Jin; Wen Jiang 002; Wei Ning; Shanqing Yu; Qi Xuan 001; Xiaoyan Cai; Libin Yang; Zhen Wang 004 (Expert Syst. Appl., 2024)

Blockchain transaction data mining and its applications. - Jiajing Wu; Hongning Dai; Qi Xuan 001; Radoslaw Michalski; Xi Chen 014 (IET Blockchain, 2024)

Dirichlet probability navigated fault detection via key-group memory auto-encoder under non-stationary working conditions. - De-Yu Weng; Jun-Wei Zhu; Qi Xuan 001 (Inf. Sci., 2024)

FashionGPT: LLM instruction fine-tuning with multiple LoRA-adapter fusion. - Dehong Gao; Yufei Ma 011; Sen Liu 004; Mengfei Song; Linbo Jin; Wen Jiang 002; Xin Wang; Wei Ning; Shanqing Yu; Qi Xuan 001; Xiaoyan Cai; Libin Yang (Knowl. Based Syst., 2024)

PathMLP: Smooth path towards high-order homophily. - Jiajun Zhou; Chenxuan Xie; Shengbo Gong; Jiaxu Qian; Shanqing Yu; Qi Xuan 001; Xiaoniu Yang (Neural Networks, 2024)

Learn to Defend: Adversarial Multi-Distillation for Automatic Modulation Recognition Models. - Zhuangzhi Chen; Zhangwei Wang; Dongwei Xu; Jiawei Zhu; Weiguo Shen; Shilian Zheng; Qi Xuan 001; Xiaoniu Yang (IEEE Trans. Inf. Forensics Secur., 2024)

Backdoor Online Tracing With Evolving Graphs. - Chengyu Jia; Jinyin Chen; Shouling Ji; Yao Cheng; Haibin Zheng; Qi Xuan 001 (IEEE Trans. Inf. Forensics Secur., 2024)

Time-Aware Metapath Feature Augmentation for Ponzi Detection in Ethereum. - Chengxiang Jin; Jiajun Zhou; Jie Jin; Jiajing Wu; Qi Xuan 001 (IEEE Trans. Netw. Sci. Eng., 2024)

Null Model-Based Data Augmentation for Graph Classification. - Zeyu Wang 011; Jinhuan Wang; Yalu Shan; Shanqing Yu; Xiao-ke Xu; Qi Xuan 001; Guanrong Chen (IEEE Trans. Netw. Sci. Eng., 2024)

Multi-View Graph Convolution Network Reinforcement Learning for CAVs Cooperative Control in Highway Mixed Traffic. - Dongwei Xu; Peiwen Liu; Haijian Li; Haifeng Guo; Zijia Xie; Qi Xuan 001 (IEEE Trans. Intell. Veh., 2024)

Imperceptible UAPs for Automatic Modulation Classification Based on Deep Learning. - Dongwei Xu; Jiangpeng Li; Zhuangzhi Chen; Qi Xuan 001; Weiguo Shen; Xiaoniu Yang (IEEE Trans. Circuits Syst. II Express Briefs, 2024)

DeepInsight: Topology Changes Assisting Detection of Adversarial Samples on Graphs. - Junhao Zhu 001; Jinhuan Wang; Yalu Shan; Shanqing Yu; Guanrong Chen; Qi Xuan 001 (IEEE Trans. Comput. Soc. Syst., 2024)

Adversarial Attacks on Clustering Coefficient in Complex Networks. - Bo Zhou 022; Xiudi Yan; Yuqian Lv; Qi Xuan 001 (IEEE Trans. Circuits Syst. II Express Briefs, 2024)

Channel Pruning Method for Signal Modulation Recognition Deep Learning Models. - Zhuangzhi Chen; Zhangwei Wang; Xuzhang Gao; Jinchao Zhou; Dongwei Xu; Shilian Zheng; Qi Xuan 001; Xiaoniu Yang (IEEE Trans. Cogn. Commun. Netw., 2024)

MONA: An Efficient and Scalable Strategy for Targeted k-Nodes Collapse. - Yuqian Lv; Bo Zhou 022; Jinhuan Wang; Shanqing Yu; Qi Xuan 001 (IEEE Trans. Circuits Syst. II Express Briefs, 2024)

AT-GAN: A Backdoor Attack Against Radio Signals Modulation Based on Adaptive Trigger. - Dongwei Xu; Ruochen Fang; Qi Xuan 001; Weiguo Shen; Shilian Zheng; Xiaoniu Yang (IEEE Trans. Circuits Syst. II Express Briefs, 2024)

HFAD: Homomorphic Filtering Adversarial Defense Against Adversarial Attacks in Automatic Modulation Classification. - Sicheng Zhang; Yun Lin 005; Jiarun Yu 002; Jianting Zhang; Qi Xuan 001; Dongwei Xu; Juzhen Wang; Meiyu Wang (IEEE Trans. Cogn. Commun. Netw., 2024)

Mutual Influence in Citation and Cooperation Patterns. - Chenbo Fu; Haogeng Luo; Xuejiao Liang; Yong Min; Qi Xuan 001; Guanrong Chen (IEEE Trans. Comput. Soc. Syst., 2024)

GA-Based Multipopulation Synergistic Gene Screening Strategy on Critical Nodes Detection. - Shanqing Yu; Jiaxiang Li; Xu Fang; Yongqi Wang; Jinhuan Wang; Qi Xuan 001; Chenbo Fu (IEEE Trans. Comput. Soc. Syst., 2024)

GANI: Global Attacks on Graph Neural Networks via Imperceptible Node Injections. - Junyuan Fang; Haixian Wen; Jiajing Wu; Qi Xuan 001; Zibin Zheng; Chi K. Tse (IEEE Trans. Comput. Soc. Syst., 2024)

Single-Node Injection Label Specificity Attack on Graph Neural Networks via Reinforcement Learning. - Dayuan Chen; Jian Zhang 023; Yuqian Lv; Jinhuan Wang; Hongjie Ni; Shanqing Yu; Zhen Wang 013; Qi Xuan 001 (IEEE Trans. Comput. Soc. Syst., 2024)

Node Injection Attack Based on Label Propagation Against Graph Neural Network. - Peican Zhu; Zechen Pan; Keke Tang; Xiaodong Cui; Jinhuan Wang; Qi Xuan 001 (IEEE Trans. Comput. Soc. Syst., 2024)

RGP: Neural Network Pruning Through Regular Graph With Edges Swapping. - Zhuangzhi Chen; Jingyang Xiang; Yao Lu; Qi Xuan 001; Zhen Wang 004; Guanrong Chen; Xiaoniu Yang (IEEE Trans. Neural Networks Learn. Syst., 2024)

Augmenting Radio Signals With Wavelet Transform for Deep Learning-Based Modulation Recognition. - Tao Chen 049; Shilian Zheng; Kunfeng Qiu; Luxin Zhang; Qi Xuan 001; Xiaoniu Yang (IEEE Trans. Cogn. Commun. Netw., 2024)

CoF: Coarse to Fine-Grained Image Understanding for Multi-modal Large Language Models. - Yeyuan Wang; Dehong Gao; Bin Li; Rujiao Long; Lei Yi; Xiaoyan Cai; Libin Yang; Jinxia Zhang; Shanqing Yu; Qi Xuan 001 (ICASSP, 2025)

JANE: Joint Angle Networks Assisting 3D Human Pose Estimation. - Jinhuan Wang; Yuzhen Zhao; Xujie Song; Wenzhou Chen; Qi Xuan 001 (ICASSP, 2025)

Mixture of Experts Meets Decoupled Message Passing: Towards General and Adaptive Node Classification. - Xuanze Chen; Jiajun Zhou; Shanqing Yu; Qi Xuan 001 (WWW (Companion Volume), 2025)

Exploring the Fractal Space of Sparse Deep Neural Network. - Hang Xu; Zhuangzhi Chen; Jinhuan Wang; Shanqing Yu; Dongwei Xu; Qi Xuan 001 (IEEE Access, 2025)

Fine-grained mutation operators for community hiding using genetic algorithms. - Shanqing Yu; Jintao Zhou; Meng Zhou; Yidan Song; Jiaxiang Li; Zeyu Wang 011; Qi Xuan 001; Silu Mu; Xiaolei Qian (Appl. Soft Comput., 2025)

Graph-Based Similarity of Deep Neural Networks. - Zuohui Chen; Yao Lu; Jinxuan Hu; Qi Xuan 001; Zhen Wang 004; Xiaoniu Yang (Neurocomputing, 2025)

Enhanced Radio Frequency Fingerprint Identification Using Length-Robust Representation and Incremental Learning. - Feng Shi; Hong Wan; Ziqin Feng; Xue Fu; Qin Wang 002; Qi Xuan 001; Yun Lin 005; Guan Gui 001 (IEEE Internet Things J., 2025)

Traffic State Estimation of Road Sections Without Detectors Based on Multisource Causal Interpretation Graph. - Dongwei Xu; Yufu Tang; Hang Peng; Haifeng Guo; Qi Xuan 001 (IEEE Internet Things J., 2025)

Knowledge-enhanced Relation Graph and Task Sampling for few-shot molecular property prediction. - Zeyu Wang 011; Tianyi Jiang; Yao Lu; Xiaoze Bao; Shanqing Yu; Bin Wei; Qi Xuan 001; Hong Wang (Inf. Sci., 2025)

Expert-Guided Substructure Information Bottleneck for Molecular Property Prediction. - Tianyi Jiang; Qiang Yao; Zeyu Wang 011; Xiaoze Bao; Shanqing Yu; Qi Xuan 001 (J. Chem. Inf. Model., 2025)

TSGN: Transaction Subgraph Networks Assisting Phishing Detection in Ethereum. - Jinhuan Wang; Pengtao Chen; Xinyao Xu; Jiajing Wu; Meng Shen 001; Qi Xuan 001; Xiaoniu Yang (IEEE Trans. Dependable Secur. Comput., 2025)

Enhancing Ethereum Fraud Detection via Generative and Contrastive Self-Supervision. - Chengxiang Jin; Jiajun Zhou; Chenxuan Xie; Shanqing Yu; Qi Xuan 001; Xiaoniu Yang (IEEE Trans. Inf. Forensics Secur., 2025)

Enhancing Specific Emitter Identification: A Semi-Supervised Approach With Deep Cloud and Broad Edge Integration. - Yibin Zhang; Yuchao Liu; Juzhen Wang; Qi Xuan 001; Yun Lin 005; Guan Gui 001 (IEEE Trans. Inf. Forensics Secur., 2025)

Expressed and Private Opinions Coevolution for Stubborn Individuals With Cooperation-Competition Interactions. - Hong-xiang Hu; Jianhua Cao; Guanghui Wen; Qi Xuan 001; Guanrong Chen (IEEE Trans. Netw. Sci. Eng., 2025)

Label-Flipping Attacks in GNN-Based Federated Learning. - Shanqing Yu; Jie Shen 014; Shaocong Xu; Jinhuan Wang; Zeyu Wang 011; Qi Xuan 001 (IEEE Trans. Netw. Sci. Eng., 2025)

Multi-view Correlation-aware Network Traffic Detection on Flow Hypergraph. - Jiajun Zhou; Wentao Fu; Hao Song; Shanqing Yu; Qi Xuan 001; Xiaoniu Yang (CoRR, 2025)

Mixture of Decoupled Message Passing Experts with Entropy Constraint for General Node Classification. - Xuanze Chen; Jiajun Zhou; Jinsong Chen; Shanqing Yu; Qi Xuan 001 (CoRR, 2025)

MCLRL: A Multi-Domain Contrastive Learning with Reinforcement Learning Framework for Few-Shot Modulation Recognition. - Dongwei Xu; Yutao Zhu 007; Yao Lu; Youpeng Feng; Yun Lin 005; Qi Xuan 001 (CoRR, 2025)

Unveiling Latent Information in Transaction Hashes: Hypergraph Learning for Ethereum Ponzi Scheme Detection. - Junhao Wu; Yixin Yang; Chengxiang Jin; Silu Mu; Xiaolei Qian; Jiajun Zhou; Shanqing Yu; Qi Xuan 001 (CoRR, 2025)

Hierarchical Local-Global Feature Learning for Few-shot Malicious Traffic Detection. - Songtao Peng; Lei Wang; Wu Shuai; Hao Song; Jiajun Zhou; Shanqing Yu; Qi Xuan 001 (CoRR, 2025)

Adaptive Substructure-Aware Expert Model for Molecular Property Prediction. - Tianyi Jiang; Zeyu Wang 011; Shanqing Yu; Qi Xuan 001 (CoRR, 2025)

Clarify Confused Nodes via Separated Learning. - Jiajun Zhou; Shengbo Gong; Xuanze Chen; Chenxuan Xie; Shanqing Yu; Qi Xuan 001; Xiaoniu Yang (IEEE Trans. Pattern Anal. Mach. Intell., 2025)

FCOS: A Two-Stage Recoverable Model Pruning Framework for Automatic Modulation Recognition. - Yao Lu; Tengfei Ma; Zeyu Wang 011; Zhuangzhi Chen; Dongwei Xu; Yun Lin 005; Qi Xuan 001; Guan Gui 001 (CoRR, 2025)

EraseIMF: Enhancing Deep Learning-Based Few-Shot Modulation Recognition With VMD Random Erasure Augmentation. - Tao Chen 049; Shilian Zheng; Qi Xuan 001; Xiaoniu Yang (IEEE Commun. Lett., 2025)

MSR-GAN: multi-scales decomposition representations for unsupervised anomaly detection. - Dongwei Xu; Tianhao Xia; Jiaye Hou; Yun Xiang; Qi Xuan 001 (Appl. Intell., 2025)

ReStNet: A Reusable & Stitchable Network for Dynamic Adaptation on IoT Devices. - Maoyu Wang; Yao Lu; Jiaqi Nie; Zeyu Wang 011; Yun Lin 005; Qi Xuan 001; Guan Gui 001 (CoRR, 2025)

From LLM-anation to LLM-orchestrator: Coordinating Small Models for Data Labeling. - Yao Lu; Zhaiyuan Ji; Jiawei Du; Shanqing Yu; Qi Xuan 001; Tianyi Zhou (CoRR, 2025)

SigMix: Robust Specific Emitter Identification Method Enhanced by Cross-Time and Cross-Receiver Mixing Augmentation. - Hong Wan; Feng Shi; Yu Wang 078; Qi Xuan 001; Yun Lin 005; Guan Gui 001 (IEEE Internet Things J., 2025)

Multi-View Discriminant Framework for Automatic Modulation Open Set Recognition. - Jiaye Hou; Dongwei Xu; Fuxing Song; Zhuangzhi Chen; Qi Xuan 001; Shilian Zheng; Yun Lin 005; Xiaoniu Yang (IEEE Trans. Commun., 2025)

DUSE: A Data Expansion Framework for Low-resource Automatic Modulation Recognition based on Active Learning. - Yao Lu; Hongyu Gao; Zhuangzhi Chen; Dongwei Xu; Yun Lin 005; Qi Xuan 001; Guan Gui 001 (CoRR, 2025)

A Generic Layer Pruning Method for Signal Modulation Recognition Deep Learning Models. - Yao Lu; Yutao Zhu 007; Yuqi Li; Dongwei Xu; Yun Lin 005; Qi Xuan 001; Xiaoniu Yang (IEEE Trans. Cogn. Commun. Netw., 2025)

Class-Consistent Matching Attention Wavelet Networks for Partial Transfer Intelligent Diagnosis. - Yongyi Chen; Dan Zhang 001; Ruqiang Yan 001; Fanghong Guo; Qi Xuan 001 (IEEE Trans. Neural Networks Learn. Syst., 2025)

Data Augmentation on Graphs: A Technical Survey. - Jiajun Zhou; Chenxuan Xie; Shengbo Gong; Zhenyu Wen; Xiangyu Zhao 001; Qi Xuan 001; Xiaoniu Yang (ACM Comput. Surv., 2025)