Stop the war!Остановите войну!
for scientists:
default search action
Google
Google Scholar
Semantic Scholar
Internet Archive Scholar
CiteSeerX
ORCIDQi Xuan
This is just a disambiguation page, and is not intended to be the bibliography of an actual person. Any publication listed on this page has not been assigned to an actual author yet. If you know the true author of one of the publications listed below, you are welcome to contact us.
Person information
Refine list
refinements active!
zoomed in on ?? of ?? records
view refined list in
export refined list as
showing all ?? records
2020 – today
- 2023
[b1]Qi Xuan, Yun Xiang, Dongwei Xu:
Deep Learning Applications - In Computer Vision, Signals and Networks. WorldScientific 2023, ISBN 9789811266904, pp. 1-308- [j64]Tao Chen
, Shuncheng Gao, Shilian Zheng, Shanqing Yu, Qi Xuan, Caiyi Lou, Xiaoniu Yang:
EMD and VMD Empowered Deep Learning for Radio Modulation Recognition. IEEE Trans. Cogn. Commun. Netw. 9(1): 43-57 (2023) - [j63]Bo Zhou, Yuqian Lv, Jinhuan Wang, Jian Zhang, Qi Xuan:
Attacking the Core Structure of Complex Network. IEEE Trans. Comput. Soc. Syst. 10(4): 1428-1442 (2023) - [j62]Jiajun Zhou, Zhi Chen, Min Du, Lihong Chen, Shanqing Yu, Guanrong Chen, Qi Xuan:
RobustECD: Enhancement of Network Structure for Robust Community Detection. IEEE Trans. Knowl. Data Eng. 35(1): 842-856 (2023) - [j61]Jinyin Chen, Jian Zhang, Zhi Chen, Min Du, Qi Xuan:
Time-Aware Gradient Attack on Dynamic Network Link Prediction. IEEE Trans. Knowl. Data Eng. 35(2): 2091-2102 (2023) - [c28]Shengbo Gong, Jiajun Zhou, Chenxuan Xie, Qi Xuan:
Neighborhood Homophily-based Graph Convolutional Network. CIKM 2023: 3908-3912 - [c27]Hui Tang, Yao Lu, Qi Xuan:
SR-init: An Interpretable Layer Pruning Method. ICASSP 2023: 1-5 - [i76]Yuqian Lv, Bo Zhou, Jinhuan Wang, Qi Xuan:
Targeted k-node Collapse Problem: Towards Understanding the Robustness of Local k-core Structure. CoRR abs/2301.00108 (2023) - [i75]Shengbo Gong, Jiajun Zhou, Chenxuan Xie, Qi Xuan:
Neighborhood Homophily-Guided Graph Convolutional Network. CoRR abs/2301.09851 (2023) - [i74]Hui Tang, Yao Lu, Qi Xuan:
SR-init: An interpretable layer pruning method. CoRR abs/2303.07677 (2023) - [i73]Dayuan Chen, Jian Zhang, Yuqian Lv, Jinhuan Wang, Hongjie Ni, Shanqing Yu, Zhen Wang, Qi Xuan:
Single Node Injection Label Specificity Attack on Graph Neural Networks via Reinforcement Learning. CoRR abs/2305.02901 (2023) - [i72]Yunzhe Zhang, Yao Lu, Lei Xu, Kunlin Yang, Hui Tang, Shuyuan Ye, Qi Xuan:
Exploring Inductive Biases in Contrastive Learning: A Clustering Perspective. CoRR abs/2305.10229 (2023) - [i71]Shengbo Gong, Jiajun Zhou, Qi Xuan:
Clarify Confused Nodes Through Separated Learning. CoRR abs/2306.02285 (2023) - [i70]Jinhuan Wang, Jiafei Shao, Zeyu Wang, Shanqing Yu, Qi Xuan, Xiaoniu Yang:
Subgraph Networks Based Contrastive Learning. CoRR abs/2306.03506 (2023) - [i69]Chenxuan Xie, Jiajun Zhou, Shengbo Gong, Jiacheng Wan, Jiaxu Qian, Shanqing Yu, Qi Xuan, Xiaoniu Yang:
PathMLP: Smooth Path Towards High-order Homophily. CoRR abs/2306.13532 (2023) - [i68]Yuqian Lv, Bo Zhou, Jinhuan Wang, Shanqing Yu, Qi Xuan:
MONA: An Efficient and Scalable Strategy for Targeted k-Nodes Collapse. CoRR abs/2308.09601 (2023) - [i67]Yijia Li, Ming Li, Mingyi Gao, Chang-Ling Zou, Chunhua Dong, Jin Lu, Yali Qin, Xiaoniu Yang, Qi Xuan, Hongliang Ren:
Photonic time-delayed reservoir computing based on series coupled microring resonators with high memory capacity. CoRR abs/2308.15902 (2023) - [i66]Chengxiang Jin, Jiajun Zhou, Shengbo Gong, Chenxuan Xie, Qi Xuan:
Multi-triplet Feature Augmentation for Ponzi Scheme Detection in Ethereum. CoRR abs/2310.00856 (2023) - [i65]Yao Lu, Xuguang Chen, Yuchen Zhang, Jianyang Gu, Tianle Zhang, Yifan Zhang, Xiaoniu Yang, Qi Xuan, Kai Wang, Yang You:
Can pre-trained models assist in dataset distillation? CoRR abs/2310.03295 (2023) - [i64]Shuo Zou, Bo Zhou, Qi Xuan:
Attacking The Assortativity Coefficient Under A Rewiring Strategy. CoRR abs/2310.08924 (2023) - [i63]Wenjie Lv, Zhen Wang, Yitao Zheng, Zhehua Zhong, Qi Xuan, Tianyi Chen:
BufferSearch: Generating Black-Box Adversarial Texts With Lower Queries. CoRR abs/2310.09652 (2023) - [i62]Yao Lu, Yutian Huang, Jiaqi Nie, Zuohui Chen, Qi Xuan:
RK-core: An Established Methodology for Exploring the Hierarchical Structure within Datasets. CoRR abs/2310.12168 (2023) - [i61]Tao Chen, Shilian Zheng, Kunfeng Qiu, Luxin Zhang, Qi Xuan, Xiaoniu Yang:
Augmenting Radio Signals with Wavelet Transform for Deep Learning-Based Modulation Recognition. CoRR abs/2311.03761 (2023) - [i60]Tao Chen, Shilian Zheng, Jiawei Zhu, Qi Xuan, Xiaoniu Yang:
Deep Learning-Based Frequency Offset Estimation. CoRR abs/2311.16155 (2023) - 2022
- [j60]Songtao Peng, Jiaqi Nie, Xincheng Shu, Zhongyuan Ruan, Lei Wang, Yunxuan Sheng, Qi Xuan:
A multi-view framework for BGP anomaly detection via graph attention network. Comput. Networks 214: 109129 (2022) - [j59]Ruoxi Chen, Jinyin Chen, Haibin Zheng, Qi Xuan, Zhaoyan Ming, Wenrong Jiang, Chen Cui:
Salient feature extractor for adversarial defense on deep neural networks. Inf. Sci. 600: 118-143 (2022) - [j58]Bo Zhou, Yuqian Lv, Yongchao Mao, Jinhuan Wang, Shanqing Yu, Qi Xuan:
The Robustness of Graph k-Shell Structure Under Adversarial Attacks. IEEE Trans. Circuits Syst. II Express Briefs 69(3): 1797-1801 (2022) - [j57]Chengxiang Jin, Jie Jin, Jiajun Zhou, Jiajing Wu, Qi Xuan:
Heterogeneous Feature Augmentation for Ponzi Detection in Ethereum. IEEE Trans. Circuits Syst. II Express Briefs 69(9): 3919-3923 (2022) - [j56]Zhuangzhi Chen, Hui Cui, Jingyang Xiang, Kunfeng Qiu, Liang Huang, Shilian Zheng, Shichuan Chen, Qi Xuan, Xiaoniu Yang:
SigNet: A Novel Deep Learning Framework for Radio Signal Classification. IEEE Trans. Cogn. Commun. Netw. 8(2): 529-541 (2022) - [j55]Yunyi Xie, Jinyin Chen, Jian Zhang, Xincheng Shu, Qi Xuan:
Time-Series Snapshot Network for Partner Recommendation: A Case Study on OSS. IEEE Trans. Comput. Soc. Syst. 9(4): 1048-1059 (2022) - [j54]Zhongzhi Xu, Jian Zhang, Qingpeng Zhang, Qi Xuan, Paul Siu Fai Yip:
A Comorbidity Knowledge-Aware Model for Disease Prognostic Prediction. IEEE Trans. Cybern. 52(9): 9809-9819 (2022) - [j53]Jiajun Zhou, Chenkai Hu, Jianlei Chi, Jiajing Wu, Meng Shen, Qi Xuan:
Behavior-Aware Account De-Anonymization on Ethereum Interaction Graph. IEEE Trans. Inf. Forensics Secur. 17: 3433-3448 (2022) - [j52]Qi Xuan, Jinchao Zhou, Kunfeng Qiu, Zhuangzhi Chen, Dongwei Xu, Shilian Zheng, Xiaoniu Yang:
AvgNet: Adaptive Visibility Graph Neural Network and Its Application in Modulation Classification. IEEE Trans. Netw. Sci. Eng. 9(3): 1516-1526 (2022) - [c26]Bin Zhu, Zhaoquan Gu, Le Wang, Jinyin Chen, Qi Xuan:
Improving Robustness of Language Models from a Geometry-aware Perspective. ACL (Findings) 2022: 3115-3125 - [c25]Jiawei Zhu, Jiangpeng Li, Dongwei Xu, Chuntao Gu, Qi Xuan, Shunling Wang:
Adversarial Examples Detection of Electromagnetic Signal Based on GAN. BigCom 2022: 38-43 - [c24]Panpan Li, Shengbo Gong, Shaocong Xu, Jiajun Zhou, Shanqing Yu, Qi Xuan:
Cross Cryptocurrency Relationship Mining for Bitcoin Price Prediction. BlockSys 2022: 237-250 - [c23]Panpan Li, Yunyi Xie, Xinyao Xu, Jiajun Zhou, Qi Xuan:
Phishing Fraud Detection on Ethereum Using Graph Neural Network. BlockSys 2022: 362-375 - [c22]Yao Lu, Wen Yang, Yunzhe Zhang, Zuohui Chen, Jinyin Chen, Qi Xuan, Zhen Wang, Xiaoniu Yang:
Understanding the Dynamics of DNNs Using Graph Modularity. ECCV (12) 2022: 225-242 - [c21]Zhen Wang, Dongpeng Hou, Chao Gao, Jiajin Huang, Qi Xuan:
A Rapid Source Localization Method in the Early Stage of Large-scale Network Propagation. WWW 2022: 1372-1380 - [i59]Haibo Jin, Ruoxi Chen, Haibin Zheng, Jinyin Chen, Zhenguang Liu, Qi Xuan, Yue Yu, Yao Cheng:
DeepSensor: Deep Learning Testing Framework Based on Neuron Sensitivity. CoRR abs/2202.07464 (2022) - [i58]Yun Xiang, Qijun Chen, Zhongjin Su, Lu Zhang, Zuohui Chen, Guozhi Zhou, Zhuping Yao, Qi Xuan, Yuan Cheng:
Hyperspectral Imaging for cherry tomato. CoRR abs/2203.05199 (2022) - [i57]Jiajun Zhou, Chenkai Hu, Jianlei Chi, Jiajing Wu, Meng Shen, Qi Xuan:
Behavior-aware Account De-anonymization on Ethereum Interaction Graph. CoRR abs/2203.09360 (2022) - [i56]Xinjie Xu, Zhuangzhi Chen, Dongwei Xu, Huaji Zhou, Shanqing Yu, Shilian Zheng, Qi Xuan, Xiaoniu Yang:
Mixing Signals: Data Augmentation Approach for Deep Learning Based Modulation Recognition. CoRR abs/2204.03737 (2022) - [i55]Panpan Li, Yunyi Xie, Xinyao Xu, Jiajun Zhou, Qi Xuan:
Phishing Fraud Detection on Ethereum using Graph Neural Network. CoRR abs/2204.08194 (2022) - [i54]Chengxiang Jin, Jie Jin, Jiajun Zhou, Jiajing Wu, Qi Xuan:
Heterogeneous Feature Augmentation for Ponzi Detection in Ethereum. CoRR abs/2204.08916 (2022) - [i53]Bin Zhu, Zhaoquan Gu, Le Wang, Jinyin Chen, Qi Xuan:
Improving robustness of language models from a geometry-aware perspective. CoRR abs/2204.13309 (2022) - [i52]Panpan Li, Shengbo Gong, Shaocong Xu, Jiajun Zhou, Shanqing Yu, Qi Xuan:
Cross Cryptocurrency Relationship Mining for Bitcoin Price Prediction. CoRR abs/2205.00974 (2022) - [i51]Shanqing Yu, Shihan Zhang, Jianlin Zhang, Jiajun Zhou, Qi Xuan, Bing Li, Xiaojuan Hu:
SubGraph Networks based Entity Alignment for Cross-lingual Knowledge Graph. CoRR abs/2205.03557 (2022) - [i50]Jie Jin, Jiajun Zhou, Chengxiang Jin, Shanqing Yu, Ziwan Zheng, Qi Xuan:
Dual-channel Early Warning Framework for Ethereum Ponzi Schemes. CoRR abs/2206.07895 (2022) - [i49]Jinhuan Wang, Pengtao Chen, Xinyao Xu, Jiajing Wu, Meng Shen, Qi Xuan, Xiaoniu Yang:
TSGN: Transaction Subgraph Networks Assisting Phishing Detection in Ethereum. CoRR abs/2208.12938 (2022) - [i48]Junyuan Fang, Haixian Wen, Jiajing Wu, Qi Xuan, Zibin Zheng, Chi K. Tse:
GANI: Global Attacks on Graph Neural Networks via Imperceptible Node Injections. CoRR abs/2210.12598 (2022) - [i47]Chengxiang Jin, Jiajun Zhou, Jie Jin, Jiajing Wu, Qi Xuan:
Time-aware Metapath Feature Augmentation for Ponzi Detection in Ethereum. CoRR abs/2210.16863 (2022) - [i46]Shanqing Yu, Yijun Wu, Ran Gan, Jiajun Zhou, Ziwan Zheng, Qi Xuan:
Discover Important Paths in the Knowledge Graph Based on Dynamic Relation Confidence. CoRR abs/2211.00914 (2022) - [i45]Jiajun Zhou, Chenxuan Xie, Zhenyu Wen, Xiangyu Zhao, Qi Xuan:
Data Augmentation on Graphs: A Survey. CoRR abs/2212.09970 (2022) - 2021
- [j51]Renxuan Wang, Zuohui Chen, Hui Dong, Qi Xuan:
You Can't Fool All the Models: Detect Adversarial Samples via Pruning Models. IEEE Access 9: 163780-163790 (2021) - [j50]Haibo Pang, Qi Xuan, Meiqin Xie, Chengming Liu, Zhanbo Li:
Research on Target Tracking Algorithm Based on Siamese Neural Network. Mob. Inf. Syst. 2021: 6645629:1-6645629:11 (2021) - [j49]Jinyin Chen, Hui Cui, Shenghuan Miao, Changan Wu, Haibin Zheng, Shilian Zheng, Liang Huang, Qi Xuan:
FEM: Feature extraction and mapping for radio modulation classification. Phys. Commun. 45: 101279 (2021) - [j48]Yun Xiang, Yongchao Xu, Yingjie Li, Wen Ma, Qi Xuan, Yi Liu:
Side-Channel Gray-Box Attack for DNNs. IEEE Trans. Circuits Syst. II Express Briefs 68(1): 501-505 (2021) - [j47]Kedong Xu, Lan Gao, Fei Chen, Chaojie Li, Qi Xuan:
Robust Finite-Time Dynamic Average Consensus With Exponential Convergence Rates. IEEE Trans. Circuits Syst. II Express Briefs 68(7): 2578-2582 (2021) - [j46]Dongwei Xu, Hao Yang, Chuntao Gu, Zhuangzhi Chen, Qi Xuan, Xiaoniu Yang:
Adversarial Examples Detection of Radio Signals Based on Multifeature Fusion. IEEE Trans. Circuits Syst. II Express Briefs 68(12): 3607-3611 (2021) - [j45]Jinyin Chen, Yixian Chen, Lihong Chen, Minghao Zhao, Qi Xuan:
Multiscale Evolutionary Perturbation Attack on Community Detection. IEEE Trans. Comput. Soc. Syst. 8(1): 62-75 (2021) - [j44]Jinyin Chen, Yixian Chen, Haibin Zheng, Shijing Shen, Shanqing Yu, Dan Zhang, Qi Xuan:
MGA: Momentum Gradient Attack on Network. IEEE Trans. Comput. Soc. Syst. 8(1): 99-109 (2021) - [j43]Jinyin Chen, Xiang Lin, Hui Xiong, Yangyang Wu, Haibin Zheng, Qi Xuan:
Smoothing Adversarial Training for GNN. IEEE Trans. Comput. Soc. Syst. 8(3): 618-629 (2021) - [j42]Zuohui Chen, Tony Zhang, Zhuangzhi Chen, Yun Xiang, Qi Xuan, Robert P. Dick:
HVAQ: A High-Resolution Vision-Based Air Quality Dataset. IEEE Trans. Instrum. Meas. 70: 1-10 (2021) - [j41]Dan Zhang, Yongyi Chen, Fanghong Guo, Hamid Reza Karimi, Hui Dong, Qi Xuan:
A New Interpretable Learning Method for Fault Diagnosis of Rolling Bearings. IEEE Trans. Instrum. Meas. 70: 1-10 (2021) - [j40]Shanqing Yu, Minghao Zhao, Chenbo Fu, Jun Zheng, Huimin Huang, Xincheng Shu, Qi Xuan, Guanrong Chen:
Target Defense Against Link-Prediction-Based Attacks via Evolutionary Perturbations. IEEE Trans. Knowl. Data Eng. 33(2): 754-767 (2021) - [j39]Qi Xuan, Jinhuan Wang, Minghao Zhao, Junkun Yuan, Chenbo Fu, Zhongyuan Ruan, Guanrong Chen:
Subgraph Networks With Application to Structural Feature Space Expansion. IEEE Trans. Knowl. Data Eng. 33(6): 2776-2789 (2021) - [j38]Jiajun Zhou, Jie Shen, Shanqing Yu, Guanrong Chen, Qi Xuan:
M-Evolve: Structural-Mapping-Based Data Augmentation for Graph Classification. IEEE Trans. Netw. Sci. Eng. 8(1): 190-200 (2021) - [j37]Jiajun Zhou, Jie Shen, Shanqing Yu, Guanrong Chen, Qi Xuan:
Corrections to "M-Evolve: Structural-Mapping-Based Data Augmentation for Graph Classification". IEEE Trans. Netw. Sci. Eng. 8(2): 1974 (2021) - [j36]Jinhuan Wang, Pengtao Chen, Bin Ma, Jiajun Zhou, Zhongyuan Ruan, Guanrong Chen, Qi Xuan:
Sampling Subgraph Network With Application to Graph Classification. IEEE Trans. Netw. Sci. Eng. 8(4): 3478-3490 (2021) - [j35]Jinyin Chen, Jian Zhang, Xuanheng Xu, Chenbo Fu, Dan Zhang, Qingpeng Zhang, Qi Xuan:
E-LSTM-D: A Deep Learning Framework for Dynamic Network Link Prediction. IEEE Trans. Syst. Man Cybern. Syst. 51(6): 3699-3712 (2021) - [c20]Jie Shen, Jiajun Zhou, Yunyi Xie, Shanqing Yu, Qi Xuan:
Identity Inference on Blockchain Using Graph Neural Network. BlockSys 2021: 3-17 - [c19]Yunyi Xie, Jie Jin, Jian Zhang, Shanqing Yu, Qi Xuan:
Temporal-Amount Snapshot MultiGraph for Ethereum Transaction Tracking. BlockSys 2021: 133-146 - [c18]Shanqing Yu, Jie Jin, Yunyi Xie, Jie Shen, Qi Xuan:
Ponzi Scheme Detection in Ethereum Transaction Network. BlockSys 2021: 175-186 - [c17]Jinhuan Wang, Pengtao Chen, Shanqing Yu, Qi Xuan:
TSGN: Transaction Subgraph Networks for Identifying Ethereum Phishing Accounts. BlockSys 2021: 187-200 - [c16]Zuohui Chen, Renxuan Wang, Jingyang Xiang, Yue Yu, Xin Xia, Shouling Ji, Qi Xuan, Xiaoniu Yang:
Detecting Adversarial Samples with Graph-Guided Testing. ASE 2021: 1196-1198 - [c15]Likang Yin, Zhiyuan Zhang, Qi Xuan, Vladimir Filkov:
Apache Software Foundation Incubator Project Sustainability Dataset. MSR 2021: 595-599 - [c14]Likang Yin, Zhuangzhi Chen, Qi Xuan, Vladimir Filkov:
Sustainability forecasting for Apache incubator projects. ESEC/SIGSOFT FSE 2021: 1056-1067 - [p1]Shanqing Yu, Jun Zheng, Yongqi Wang, Jinyin Chen, Qi Xuan, Qingpeng Zhang:
Network Embedding Attack: An Euclidean Distance Based Method. MDATA: A New Knowledge Representation Model 2021: 131-151 - [i44]Jinhuan Wang, Pengtao Chen, Bin Ma, Jiajun Zhou, Zhongyuan Ruan, Guanrong Chen, Qi Xuan:
Sampling Subgraph Network with Application to Graph Classification. CoRR abs/2102.05272 (2021) - [i43]Zuohui Chen, Qing Yuan, Xujie Song, Cheng Chen, Dan Zhang, Yun Xiang, Ruigang Liu, Qi Xuan:
MITNet: GAN Enhanced Magnetic Induction Tomography Based on Complex CNN. CoRR abs/2102.07911 (2021) - [i42]Yunyi Xie, Jie Jin, Jian Zhang, Shanqing Yu, Qi Xuan:
Temporal-Amount Snapshot MultiGraph for Ethereum Transaction Tracking. CoRR abs/2102.08013 (2021) - [i41]Zuohui Chen, Tony Zhang, Zhuangzhi Chen, Yun Xiang, Qi Xuan, Robert P. Dick:
HVAQ: A High-Resolution Vision-Based Air Quality Dataset. CoRR abs/2102.09332 (2021) - [i40]Jie Shen, Jiajun Zhou, Yunyi Xie, Shanqing Yu, Qi Xuan:
Identity Inference on Blockchain using Graph Neural Network. CoRR abs/2104.06559 (2021) - [i39]Shanqing Yu, Jie Jin, Yunyi Xie, Jie Shen, Qi Xuan:
Ponzi Scheme Detection in EthereumTransaction Network. CoRR abs/2104.08456 (2021) - [i38]Jinhuan Wang, Pengtao Chen, Shanqing Yu, Qi Xuan:
TSGN: Transaction Subgraph Networks for Identifying Ethereum Phishing Accounts. CoRR abs/2104.08767 (2021) - [i37]Qi Xuan, Jinchao Zhou, Kunfeng Qiu, Dongwei Xu, Shilian Zheng, Xiaoniu Yang:
CLPVG: Circular limited penetrable visibility graph as a new network model for time series. CoRR abs/2104.13772 (2021) - [i36]Likang Yin, Zhuangzhi Chen, Qi Xuan, Vladimir Filkov:
Sustainability Forecasting for Apache Incubator Projects. CoRR abs/2105.14252 (2021) - [i35]Qi Xuan, Kunfeng Qiu, Jinchao Zhou, Zhuangzhi Chen, Dongwei Xu, Shilian Zheng, Xiaoniu Yang:
Adaptive Visibility Graph Neural Network and its Application in Modulation Classification. CoRR abs/2106.08564 (2021) - [i34]Junhao Zhu, Yalu Shan, Jinhuan Wang, Shanqing Yu, Guanrong Chen, Qi Xuan:
DeepInsight: Interpretability Assisting Detection of Adversarial Samples on Graphs. CoRR abs/2106.09501 (2021) - [i33]Zuohui Chen, Renxuan Wang, Jingyang Xiang, Yue Yu, Xin Xia, Shouling Ji, Qi Xuan, Xiaoniu Yang:
GGT: Graph-Guided Testing for Adversarial Sample Detection of Deep Neural Network. CoRR abs/2107.07043 (2021) - [i32]Songtao Peng, Xincheng Shu, Zhongyuan Ruan, Zegang Huang, Qi Xuan:
Inferring Multiple Relationships between ASes using Graph Convolutional Network. CoRR abs/2107.13504 (2021) - [i31]Bo Zhou, Yuqian Lv, Yongchao Mao, Jinhuan Wang, Shanqing Yu, Qi Xuan:
The Robustness of Graph k-shell Structure under Adversarial Attacks. CoRR abs/2107.13962 (2021) - [i30]Zhuangzhi Chen, Jingyang Xiang, Yao Lu, Qi Xuan:
RGP: Neural Network Pruning through Its Regular Graph Structure. CoRR abs/2110.15192 (2021) - [i29]Zuohui Chen, Yao Lu, Wen Yang, Qi Xuan, Xiaoniu Yang:
Graph-Based Similarity of Neural Network Representations. CoRR abs/2111.11165 (2021) - [i28]Yao Lu, Wen Yang, Yunzhe Zhang, Jinhuan Wang, Shengbo Gong, Zhuangzhi Chen, Zuohui Chen, Qi Xuan, Xiaoniu Yang:
Graph Modularity: Towards Understanding the Cross-Layer Transition of Feature Representations in Deep Neural Networks. CoRR abs/2111.12485 (2021) - [i27]Bo Zhou, Yuqian Lv, Jinhuan Wang, Jian Zhang, Qi Xuan:
COREATTACK: Breaking Up the Core Structure of Graphs. CoRR abs/2111.15276 (2021) - [i26]Qi Xuan, Zeyu Wang, Jinhuan Wang, Yalu Shan:
Data Augmentation Based on Null Model for Graph Classification. CoRR abs/2112.00476 (2021) - [i25]Jiajun Zhou, Qi Xuan:
Subgraph Contrastive Link Representation Learning. CoRR abs/2112.01165 (2021) - [i24]Jiajun Zhou, Chenkai Hu, Shengbo Gong, Jiaying Xu, Jie Shen, Qi Xuan:
BlockGC: A Joint Learning Framework for Account Identity Inference on Blockchain with Graph Contrast. CoRR abs/2112.03659 (2021) - [i23]Songtao Peng, Jiaqi Nie, Xincheng Shu, Zhongyuan Ruan, Lei Wang, Yunxuan Sheng, Qi Xuan:
A Multi-View Framework for BGP Anomaly Detection via Graph Attention Network. CoRR abs/2112.12793 (2021) - 2020
- [j34]Yun Xiang, Yongbiao Miao, Jingyin Chen, Qi Xuan:
Efficient Incremental Learning Using Dynamic Correction Vector. IEEE Access 8: 23090-23099 (2020) - [j33]Jinyin Chen, Keke Hu, Yitao Yang, Yi Liu, Qi Xuan:
Collective transfer learning for defect prediction. Neurocomputing 416: 103-116 (2020) - [j32]Yun Xiang, Zhuangzhi Chen, Zuohui Chen, Zebin Fang, Haiyang Hao, Jinyin Chen, Yi Liu, Zhefu Wu, Qi Xuan, Xiaoniu Yang:
Open DNN Box by Power Side-Channel Attack. IEEE Trans. Circuits Syst. 67-II(11): 2717-2721 (2020) - [j31]Qi Xuan, Xincheng Shu, Zhongyuan Ruan, Jinbao Wang, Chenbo Fu, Guanrong Chen:
A Self-Learning Information Diffusion Model for Smart Social Networks. IEEE Trans. Netw. Sci. Eng. 7(3): 1466-1480 (2020) - [j30]Chenbo Fu, Yongli Zheng, Yi Liu, Qi Xuan, Guanrong Chen:
NES-TL: Network Embedding Similarity-Based Transfer Learning. IEEE Trans. Netw. Sci. Eng. 7(3): 1607-1618 (2020) - [c13]Jinyin Chen, Huiling Xu, Jinhuan Wang, Qi Xuan, Xuhong Zhang:
Adversarial Detection on Graph Structured Data. PPMLP@CCS 2020: 37-41 - [c12]Jinyin Chen, Longyuan Zhang, Haibin Zheng, Qi Xuan:
SPA: Stealthy Poisoning Attack. CIAT 2020: 303-309 - [c11]Jian Zhang, Jun Zheng, Jinyin Chen, Qi Xuan:
Hyper-Substructure Enhanced Link Predictor. CIKM 2020: 2305-2308 - [c10]Jiajun Zhou, Jie Shen, Qi Xuan:
Data Augmentation for Graph Classification. CIKM 2020: 2341-2344 - [c9]