Robustness Analysis of Power Grids Against Cascading Failures Based on a Multi-Objective Algorithm. - Junyuan Fang; Xi Zhang 007; Jiajing Wu; Zibin Zheng (ISCAS, 2019)

Cross Entropy Attack on Deep Graph Infomax. - Qifan Zhang; Junyuan Fang; Jie Zhang; Jiajing Wu; Yongxiang Xia; Zibin Zheng (ISCAS, 2020)

MG-GCN: Fast and Effective Learning with Mix-grained Aggregators for Training Large Graph Convolutional Networks. - Tao Huang 021; Yihan Zhang; Jiajing Wu; Junyuan Fang; Zibin Zheng (CoRR, 2020)

Sequential Node Attack of Complex Networks Based on Q-Learning Method. - Weijun Ma; Junyuan Fang; Jiajing Wu (ISCAS, 2021)

Transaction-Based Hidden Strategies against General Phishing Detection Framework on Ethereum. - Haixian Wen; Junyuan Fang; Jiajing Wu; Zibin Zheng (ISCAS, 2021)

Revealing Structural and Functional Vulnerability of Power Grids to Cascading Failures. - Junyuan Fang; Jiajing Wu; Zibin Zheng; Chi K. Tse (IEEE J. Emerg. Sel. Topics Circuits Syst., 2021)

Enhancing Robustness and Transmission Performance of Heterogeneous Complex Networks via Multiobjective Optimization. - Junyuan Fang; Haiyu Huang 002; Jiajing Wu; Chi K. Tse (IEEE Syst. J., 2021)

Predicting Onset Time of Cascading Failure in Power Systems Using a Neural Network-Based Classifier. - Junyuan Fang; Dong Liu 012; Chi K. Tse (ISCAS, 2022)

Analyzing Robustness of Complex Networks Against Incomplete Information. - Weijun Ma; Junyuan Fang; Jiajing Wu (IEEE Trans. Circuits Syst. II Express Briefs, 2022)

Impact of Structure of Network Based Data on Performance of Graph Neural Networks. - Junyuan Fang; Dong Liu 012; Chi K. Tse (ISCAS, 2023)

Both Homophily and Heterophily Matter: Bi-Path Aware Graph Neural Network for Ethereum Account Classification. - Han Yang; Junyuan Fang; Jiajing Wu; Zibin Zheng (IEEE J. Emerg. Sel. Topics Circuits Syst., 2023)

Hide and Seek: An Adversarial Hiding Approach Against Phishing Detection on Ethereum. - Haixian Wen; Junyuan Fang; Jiajing Wu; Zibin Zheng (IEEE Trans. Comput. Soc. Syst., 2023)

Gaussian Splatting in Mirrors: Reflection-aware Rendering via Virtual Camera Optimization. - Zihan Wang; Shuzhe Wang; Matias Turkulainen; Junyuan Fang; Juho Kannala (BMVC, 2024)

Strengthening Critical Power Network Branches for Cascading Failure Mitigation. - Biwei Li; Dong Liu 012; Junyuan Fang; Xi Zhang 007; Chi K. Tse (ISCAS, 2024)

Fishing for Fraudsters: Uncovering Ethereum Phishing Gangs With Blockchain Data. - Jieli Liu; Jinze Chen; Jiajing Wu; Zhiying Wu; Junyuan Fang; Zibin Zheng (IEEE Trans. Inf. Forensics Secur., 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)

NVSMask3D: Hard Visual Prompting with Camera Pose Interpolation for 3D Open Vocabulary Instance Segmentation. - Junyuan Fang; Zihan Wang; Yejun Zhang; Shuzhe Wang; Iaroslav Melekhov; Juho Kannala (SCIA (1), 2025)

Soft label enhanced graph neural network under heterophily. - Han Yang; Junyuan Fang; Jiajing Wu; Dan Li 016; Yaonan Wang; Zibin Zheng (Knowl. Based Syst., 2025)

Failure Propagation Graphs for Studying Cascading Failure Propagation in Power Networks. - Biwei Li; Dong Liu 012; Junyuan Fang; Xi Zhang 007; Chi K. Tse (IEEE Syst. J., 2025)

Mitigating the Structural Bias in Graph Adversarial Defenses. - Junyuan Fang; Huimin Liu; Han Yang; Jiajing Wu; Zibin Zheng; Chi K. Tse (CoRR, 2025)

Quantifying the Noise of Structural Perturbations on Graph Adversarial Attacks. - Junyuan Fang; Han Yang; Haixian Wen; Jiajing Wu; Zibin Zheng; Chi K. Tse (CoRR, 2025)

What Contributes More to the Robustness of Heterophilic Graph Neural Networks? - Junyuan Fang; Han Yang; Jiajing Wu; Zibin Zheng; Chi K. Tse (IEEE Trans. Syst. Man Cybern. Syst., 2025)