A Short Survey on Fault Diagnosis in Wireless Sensor Networks. - Zeyu Zhang 004; Lei Shu 001; Amjad Mehmood; Li Yan; Yu Zhang 001 (WICON, 2016)

Energy-utilization aware sleep scheduling in green WSNs for sustainable throughput. - Wei Fang; Zeyu Zhang 004; Mithun Mukherjee 001; Lei Shu 001; Zhangbing Zhou (IECON, 2017)

A Short Review on Sleep Scheduling Mechanism in Wireless Sensor Networks. - Zeyu Zhang 004; Lei Shu 001; Chunsheng Zhu; Mithun Mukherjee 001 (QSHINE, 2017)

A Survey on Fault Diagnosis in Wireless Sensor Networks. - Zeyu Zhang 004; Amjad Mehmood; Lei Shu 001; Zhiqiang Huo; Yu Zhang 001; Mithun Mukherjee 001 (IEEE Access, 2018)

USER: Unsupervised Structural Entropy-Based Robust Graph Neural Network. - Yifei Wang 003; Yupan Wang; Zeyu Zhang 004; Song Yang 001; Kaiqi Zhao 001; Jiamou Liu (AAAI, 2023)

Towards Legal Judgment Summarization: A Structure-Enhanced Approach. - Qiqi Wang 005; Ruofan Wang; Kaiqi Zhao 001; Robert Amor; Benjamin Liu; Xianda Zheng; Zeyu Zhang 004; Zijian Huang 003 (ECAI, 2023)

Contrastive Learning for Signed Bipartite Graphs. - Zeyu Zhang 004; Jiamou Liu; Kaiqi Zhao 001; Song Yang 001; Xianda Zheng; Yifei Wang 003 (SIGIR, 2023)

RSGNN: A Model-agnostic Approach for Enhancing the Robustness of Signed Graph Neural Networks. - Zeyu Zhang 004; Jiamou Liu; Xianda Zheng; Yifei Wang 003; Pengqian Han; Yupan Wang; Kaiqi Zhao 001; Zijian Zhang 001 (WWW, 2023)

SGA: A Graph Augmentation Method for Signed Graph Neural Networks. - Zeyu Zhang 004; Shuyan Wan; Sijie Wang; Xianda Zheng; Xinrui Zhang; Kaiqi Zhao 001; Jiamou Liu; Dong Hao (CoRR, 2023)

CSG: Curriculum Representation Learning for Signed Graph. - Zeyu Zhang 004; Jiamou Liu; Kaiqi Zhao 001; Yifei Wang 003; Pengqian Han; Xianda Zheng; Qiqi Wang 005; Zijian Zhang 001 (CoRR, 2023)

S-T CRF: Spatial-Temporal Conditional Random Field for Human Trajectory Prediction. - Pengqian Han; Jiamou Liu; Jialing He; Zeyu Zhang 004; Song Yang 001; Yanni Tang; Partha S. Roop (CoRR, 2023)

A Condition-Monitoring Method for Rolling Bearings Based on Dynamic Asynchronous Peak-Factor Ratios. - Guanhua Zhu; Quansi Huang; Zeyu Zhang 004 (Sensors, 2023)

Enhancing Student Performance Prediction on Learnersourced Questions with SGNN-LLM Synergy. - Lin Ni; Sijie Wang; Zeyu Zhang 004; Xiaoxuan Li 001; Xianda Zheng; Paul Denny 001; Jiamou Liu (AAAI, 2024)

DropEdge not Foolproof: Effective Augmentation Method for Signed Graph Neural Networks. - Zeyu Zhang 004; Lu Li; Shuyan Wan; Sijie Wang; Zhiyi Wang; Zhiyuan Lu; Dong Hao; Wanli Li 002 (NeurIPS, 2024)

CSGDN: contrastive signed graph diffusion network for predicting crop gene-phenotype associations. - Yiru Pan; Xingyu Ji; Jiaqi You; Lu Li; Zhenping Liu; Xianlong Zhang; Zeyu Zhang 004; Maojun Wang (Briefings Bioinform., 2024)

Signed Graph Representation Learning: A Survey. - Zeyu Zhang 004; Peiyao Zhao; Xin Li 033; Jiamou Liu; Xinrui Zhang; Junjie Huang; Xiaofeng Zhu (CoRR, 2024)

Multimodal prediction of student performance: A fusion of signed graph neural networks and large language models. - Sijie Wang; Lin Ni; Zeyu Zhang 004; Xiaoxuan Li 001; Xianda Zheng; Jiamou Liu (Pattern Recognit. Lett., 2024)

Generative Meta-Learning for Zero-Shot Relation Triplet Extraction. - Wanli Li 002; Tieyun Qian; Yi Song; Zeyu Zhang 004; Jiawei Li 008; Zhuang Chen 002; Lixin Zou (SIGIR, 2025)

Robust Deep Signed Graph Clustering via Weak Balance Theory. - Peiyao Zhao; Xin Li 033; Zeyu Zhang 004; Mingzhong Wang; Xueying Zhu; Lejian Liao (WWW, 2025)