Huizhe Zhang - RankMe

17 papers A* 3A 1Journal 13

Year	Rank	Type	Title / Venue / Authors
2026	A*	`conf`	GT-SNT: A Linear-Time Transformer for Large-Scale Graphs via Spiking Node Tokenization. AAAI Huizhe Zhang, Jintang Li, Yuchang Zhu, Huazhen Zhong, Liang Chen
2026	J	`jnl`	SaGIF: Improving Individual Fairness in Graph Neural Networks via Similarity Encoding. IEEE Trans. Knowl. Data Eng. Yuchang Zhu, Jintang Li, Huizhe Zhang, Liang Chen, Zibin Zheng
2025	J	`jnl`	Are Large Language Models In-Context Graph Learners? CoRR Jintang Li, Ruofan Wu, Yuchang Zhu, Huizhe Zhang, Liang Chen, Zibin Zheng
2025	J	`jnl`	GT-SVQ: A Linear-Time Graph Transformer for Node Classification Using Spiking Vector Quantization. CoRR Huizhe Zhang, Jintang Li, Yuchang Zhu, Liang Chen, Zibin Zheng
2025	J	`jnl`	Heterophily-Aware Representation Learning on Heterogeneous Graphs. IEEE Trans. Pattern Anal. Mach. Intell. Jintang Li, Zheng Wei, Yuchang Zhu, Ruofan Wu, Huizhe Zhang, Liang Chen, Zibin Zheng
2025	A*	`conf`	Measuring Diversity in Synthetic Datasets. ICML Yuchang Zhu, Huizhe Zhang, Bingzhe Wu, Jintang Li, Zibin Zheng, Peilin Zhao, Liang Chen, Yatao Bian
2025	J	`jnl`	Measuring Diversity in Synthetic Datasets. CoRR Yuchang Zhu, Huizhe Zhang, Bingzhe Wu, Jintang Li, Zibin Zheng, Peilin Zhao, Liang Chen, Yatao Bian
2025	J	`jnl`	SGNNBench: A Holistic Evaluation of Spiking Graph Neural Network on Large-scale Graph. CoRR Huizhe Zhang, Jintang Li, Yuchang Zhu, Liang Chen, Li Kuang
2025	J	`jnl`	SaGIF: Improving Individual Fairness in Graph Neural Networks via Similarity Encoding. CoRR Yuchang Zhu, Jintang Li, Huizhe Zhang, Liang Chen, Zibin Zheng
2024	A*	`conf`	A Graph is Worth 1-bit Spikes: When Graph Contrastive Learning Meets Spiking Neural Networks. ICLR Jintang Li, Huizhe Zhang, Ruofan Wu, Zulun Zhu, Baokun Wang, Changhua Meng, Zibin Zheng, Liang Chen
2024	A	`conf`	FastGCL: Fast Self-Supervised Graph Learning for Service Understanding. ICWS Huizhe Zhang, Wangbin Sun, Liang Chen
2024	J	`jnl`	Revisiting and Benchmarking Graph Autoencoders: A Contrastive Learning Perspective. CoRR Jintang Li, Ruofan Wu, Yuchang Zhu, Huizhe Zhang, Xinzhou Jin, Guibin Zhang, Zulun Zhu, Zibin Zheng, Liang Chen
2024	J	`jnl`	SGHormer: An Energy-Saving Graph Transformer Driven by Spikes. CoRR Huizhe Zhang, Jintang Li, Liang Chen, Zibin Zheng
2023	J	`jnl`	A Graph is Worth 1-bit Spikes: When Graph Contrastive Learning Meets Spiking Neural Networks. CoRR Jintang Li, Huizhe Zhang, Ruofan Wu, Zulun Zhu, Liang Chen, Zibin Zheng, Baokun Wang, Changhua Meng
2023	J	`jnl`	GNAEMDA: Microbe-Drug Associations Prediction on Graph Normalized Convolutional Network. IEEE J. Biomed. Health Informatics Haonan Huang, Yuping Sun, Meijing Lan, Huizhe Zhang, Guobo Xie
2023	J	`jnl`	Predicting miRNA-Disease Associations via Node-Level Attention Graph Auto-Encoder. IEEE ACM Trans. Comput. Biol. Bioinform. Huizhe Zhang, Juntao Fang, Yuping Sun, Guobo Xie, Zhiyi Lin, Guosheng Gu
2023	J	`jnl`	Signal Power Estimation of All Sensor Network Nodes With Measurements From a Subset of Network Nodes. IEEE Trans. Aerosp. Electron. Syst. Zhaoting Liu, Huizhe Zhang, Chunguang Li, Feng Xi, Duanpo Wu, Yingbiao Yao, Yinan Zhao