科研项目
著作成果
代表性论文成果 MORE+
- · Changlin Yu, Zhen Liu*, Wenbo Xie, Seesaw Effect of Graph Neural Networks, CIKM'26, Accepted.
- · Bin Zhang, Wen-Bo Xie, Zi-Han Dong, Xuan-Lin Zhu, Xin Wang and Zhen Liu, ACMDG: An Effective and Scalable Active Clustering via Multi-granularity Diffusion Graph, CIKM'26, Accepted.
- · Ren S, Liu Z, Ren H, et al. DDNA: Dual-diffusion-enhanced network alignment[J]. Knowledge-Based Systems, 2026, 348: 116361.
- · Wen Xiangchao, Liu Zhen*, Liu Yunfei. Graph Adversarial Defense with Virtual Spectral Anchor Injection[C]//Proceedings of the 32nd ACM SIGKDD Conference on Knowledge Discovery and Data Mining V. 2. 20
- · Xie W B, Fu X, Chen B, et al. Data Skeleton Learning: Scalable Active Clustering with Sparse Graph Structures[J]. Pattern Recognition, 2025: 113018.
- · Liu Zhen*, Zhang Yongtao, Ren Shaobo, et al. Structure-Attribute Transformations with Markov Chain Boost Graph Domain Adaptation[C]//Proceedings of the 34th ACM International Conference on Information
- · Wen Xiangchao, Liu Zhen*, You Yuxin. Revisiting Graph Adversarial Attack: A Perspective of Budget Optimization[C]//Proceedings of the 31st ACM SIGKDD Conference on Knowledge Discovery and Data Mining
- · Liu Z, Li Z, Li W, et al. Deep graph tensor learning for temporal link prediction[J]. Information Sciences, 2024, 660: 120085.
- · Xie W B, Liu Z, Chen B, et al. Boosting cluster tree with reciprocal nearest neighbors scoring[J]. Engineering Applications of Artificial Intelligence, 2024, 127: 107438.
- · Liu Z, Zuo W, Zhang D, et al. Self-attention enhanced auto-encoder for link weight prediction with graph compression[J]. IEEE Transactions on Network Science and Engineering, 2023, 11(1): 89-99.
研究领域
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算法设计与分析、数据挖掘、机器学习,复杂网络等。近几年作为第一作者在国际重要期刊和会议上发表论文40余篇,其中被三大索引检索30篇。目前主持和参与国家自然科学基金项目4项,科技部国家重点研发计划1项,华为公司、中兴公司横向项目多项,四川省教改项目1项。近年来,多次担任AAAI会议的程序委员,Elsevier期刊Information Sciences,以及Springer期刊The Journal of Supercomputing, Social Network Analysis and Mining的审稿人。
