LRLW-LSI: An Improved Latent Semantic Indexing (LSI) Text Classifier. - Wang Ding; Songnian Yu; Shanqing Yu; Wei Wei; Qianfeng Wang (RSKT, 2008)

Multi-Routes Algorithm using Temperature Control of Boltzmann Distribution in Q value-based Dynamic Programming. - Shanqing Yu; Shingo Mabu; Manoj Kanta Mainali; Shinji Eto; Kaoru Shimada; Kotaro Hirasawa (SMC, 2009)

Various temperature parameter control methods in Q value-based Dynamic Programming with Boltzmann Distribution. - Shanqing Yu; Shingo Mabu; Manoj Kanta Mainali; Kaoru Shimada; Kotaro Hirasawa (SMC, 2010)

Dynamic traffic management model for real world road networks. - Shanqing Yu; Shingo Mabu; Manoj Kanta Mainali; Kaoru Shimada; Kotaro Hirasawa (SMC, 2011)

Q value-based Dynamic Programming with SARSA Learning for real time route guidance in large scale road networks. - Shanqing Yu; Jing Zhou; Bing Li; Shingo Mabu; Kotaro Hirasawa (IJCNN, 2012)

Usage of Frequently Used Node in Variable Size Genetic Network Programming. - Bing Li; Shanqing Yu; Kotaro Hirasawa (SMC, 2013)

Genetic Network Programming Based Class Association Rule Mining with Attributes Importance for Large Attributes Set. - Shanqing Yu; Bing Li; Kotaro Hirasawa (SMC, 2013)

Improving the robustness of GNP-PCA using the multiagent system. - Shanqing Yu; Deng Zhang; Shingo Mabu; Jinyin Chen; Kotaro Hirasawa (Appl. Soft Comput., 2017)

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)

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)

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

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

Graph-Fraudster: Adversarial Attacks on Graph Neural Network Based Vertical Federated Learning. - Jinyin Chen; Guohan Huang; Shanqing Yu; Wenrong Jiang; Chen Cui (CoRR, 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)

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)

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)

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)

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

ROBY: Evaluating the adversarial robustness of a deep model by its decision boundaries. - Haibo Jin; Jinyin Chen; Haibin Zheng; Zhen Wang 004; Jun Xiao 001; Shanqing Yu; Zhaoyan Ming (Inf. Sci., 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)

A Novel Spatiotemporal Behavior-Enabled Random Walk Strategy on Online Social Platforms. - Chenbo Fu; Yinan Xia; Xinchen Yue; Shanqing Yu; Yong Min; Qingpeng Zhang; Yan Leng (IEEE Trans. Comput. Soc. Syst., 2022)

Boosting Signal Modulation Few-Shot Learning with Pre-Transformation. - Peng Sun; Jie Su 001; Zhenyu Wen; Yejian Zhou; Zhen Hong; Shanqing Yu; Huaji Zhou (ICASSP, 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)

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)

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)

Graph-Fraudster: Adversarial Attacks on Graph Neural Network-Based Vertical Federated Learning. - Jinyin Chen; Guohan Huang; Haibin Zheng; Shanqing Yu; Wenrong Jiang; Chen Cui (IEEE Trans. Comput. Soc. Syst., 2023)

An Improved Differential Evolution Framework Using Network Topology Information for Critical Nodes Detection. - Shanqing Yu; Yongqi Wang; Jiaxiang Li; Xu Fang; Jinyin Chen; Ziwan Zheng; Chenbo Fu (IEEE Trans. Comput. Soc. Syst., 2023)

Agent manipulator: Stealthy strategy attacks on deep reinforcement learning. - Jinyin Chen; Xueke Wang; Yan Zhang; Haibin Zheng; Shanqing Yu; Liang Bao (Appl. Intell., 2023)

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)

General2Specialized LLMs Translation for E-commerce. - Kaidi Chen; Ben Chen; Dehong Gao; Huangyu Dai; Wen Jiang 002; Wei Ning; Shanqing Yu; Libin Yang; Xiaoyan Cai (WWW (Companion Volume), 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)

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)

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)

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)

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)

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)

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)

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)

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)

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)

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)

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)

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)

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)

Bitcoin Price Prediction Using Enhanced Transformer and Greed Index. - Hao Song; Junhao Wu; Yitao Li; Silu Mu; Xiaolei Qian; Shanqing Yu; Huan Zheng (IET Blockchain, 2025)

Prompt enhanced neural machine translation with POS tags. - Zhiying Mu; Shengchuan Lin; Sensen Guo; Shanqing Yu; Dehong Gao (Neurocomputing, 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)

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)

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)

Instruction-Aligned Visual Attention for Mitigating Hallucinations in Large Vision-Language Models. - Bin Li; Dehong Gao; Yeyuan Wang; Linbo Jin; Shanqing Yu; Xiaoyan Cai; Libin Yang (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)

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)