王智强 - 2138CC太阳集团（大数据学院）

王智强，博士，教授，博士生导师。主要研究方向为：人工智能与机器学习。近年来，主持国家自然科学基金面上、青年等项目，并作为骨干成员参与科技创新2030—“新一代人工智能”重大项目、国家自然科学基金联合基金重点项目等国家级与省部级项目10余项。在IEEE TKDE、ICML、AAAI、WWW、ACL、《中国科学:信息科学》《计算机学报》等国内外重要学术期刊及会议发表学术论文30余篇。获得了山西省自然科学一等奖（3/4，2023）、山西省科技创新领域青年拔尖人才（2025）、中国中文信息学会优秀博士学位论文奖（2019）、山西省优秀博士学位论文奖（2019）。中国计算机学会人工智能与模式识别专委会执行委员、中国中文信息学会信息检索专委会委员、中国中文信息学会青年工作委员会委员。

[1] Zhiqiang Wang, Xiaoyi Wang, Jianqing Liang*. CSG-ODE: Control Synth Graph ODE For Modeling Complex Evolution of Dynamic Graphs[C]. In Proceedings of the 42nd International Conference on Machine Learning (ICML), 2025: 64670-64689

[2] Zhiqiang Wang, Jianghao Wen, Jianqing Liang*. Delay-DSGN: A Dynamic Spiking Graph Neural Network with Delay Mechanisms for Evolving Graph[C]. In Proceedings of the 42nd International Conference on Machine Learning (ICML), 2025: 64880-64894

[3] Zhiqiang Wang, Jiayu Guo, Jianqing Liang*, Jiye Liang, Shiying Cheng, Jiarong Zhang. Graph Segmentation and Contrastive Enhanced Explainer for Graph Neural Networks[C]. The 39th Annual AAAI Conference on Artificial Intelligence (AAAI), 2025: 21393-21401

[4] Zhiqiang Wang, Jiayi Pan, Xingwang Zhao*, Jianqing Liang, Chenjiao Feng, Kaixuan Yao. Counterfactual Task-augmented Meta-learning for Cold-start Sequential Recommendation[C]. The 39th Annual AAAI Conference on Artificial Intelligence (AAAI), 2025: 12801-12809

[5] Yunxiao Zhao, Zhiqiang Wang*, Xiaoli Li, Jiye Liang, Ru Li*. AGR: Reinforced Causal Agent-Guided Self-explaining Rationalization[C]. The 62nd Annual Meeting of the Association for Computational Linguistics (ACL), 2024: 510-518

[6] Zhiqiang Wang, Baijing Hu, Kaixuan Yao*, Jiye Liang. Hawkes Point Process-enhanced Dynamic Graph Neural Network[C]. Proceedings of the Eighteenth ACM International Conference on Web Search and Data Mining (WSDM), 2025: 401-409

[7] Ru Li, Yunxiao Zhao, Zhiqiang Wang*, Xuefeng Su, Shaoru Guo, Yong Guan, Xiaoqi Han, Hongyan Zhao. A Comprehensive Overview of CFN From a Commonsense Perspective[J]. Machine Intelligence Research, 2024, 21(2): 239-256

[8] Liangliang Wen, Jiye Liang*, Kaixuan Yao and Zhiqiang Wang. Black-Box Adversarial Attack on Graph Neural Networks with Node Voting Mechanism[J]. IEEE Transactions on Knowledge and Data Engineering, 2024, 36(10): 5025-5038

[9] Zhihao Guo, Feng Wang*, Kaixuan Yao, Jiye Liang and Zhiqiang Wang. Multi-scale variational graph autoencoder for link prediction[C]. The 15th ACM International Conference on Web Search and Data Mining (WSDM), 2022: 334-342

[10] Zhiqiang Wang, Jiye Liang, Ru Li, Yuhua Qian. An approach to cold-start link prediction: Establishing connections between non-topological and topological information[J]. IEEE Transactions on Knowledge and Data Engineering, 2016, 28(11): 2857-2870

[11] Ru Li*, Juan Wu, Zhiqiang Wang, Qinghua Chai. Implicit role linking on chinese discourse: Exploiting explicit roles and frame-to-frame relations[C]. Proceedings of the 53rd Annual Meeting of the Association for Computational Linguistics (ACL), 2015: 1263-1271

[12] Kaihan Zhang, Zhiqiang Wang*, Jiye Liang, Xingwang Zhao. A bayesian matrix factorization model for dynamic user embedding in recommender system[J]. Frontiers of Computer Science, 2022, 16(5): 165346

[13] Jianqing Liang*, Zhiqiang Li, Xinkai Wei, Yuan Liu, Zhiqiang Wang. ML2-GCL: Manifold Learning Inspired Lightweight Graph Contrastive Learning[C]. In Proceedings of the 42nd International Conference on Machine Learning (ICML), 2025: 37222-37236

[14] Shenggui Tang, Kaixuan Yao*, Jianqing Liang, Zhiqiang Wang, Jiye Liang. Graph Neural Networks with Interlayer Feature Representation for Image Super-Resolution[C]. The 16th ACM International Conference on Web Search and Data Mining (WSDM), 2023: 652-660

[15] Zhiqiang Wang, Jiye Liang*, Ru Li. A fusion probability matrix factorization framework for link prediction[J]. Knowledge-Based Systems, 2018, 159: 72-85

[16] Zhiqiang Wang, Jiye Liang*, Ru Li. Exploiting user-to-user topic inclusion degree for link prediction in social-information networks[J]. Expert Systems with Applications, 2018, 108: 143-158

[17] Zhiqiang Wang, Jiaxin Zhang, Feng Wang. A Domain-adversarial and Multi-scale Contrastive Method for Few-Shot Graph Node Classification, In Proceedings of the International Joint Conference on Neural Networks (IJCNN), 2025

[18] Zhiqiang Wang, Baijing Hu, Xingwang Zhao, Yajun Lin, Yuqi Wang. Dynamic Graph Neural Network with Motif Reconstruction, In Proceedings of the International Joint Conference on Neural Networks (IJCNN), 2025

[19] 王智强; 梁吉业*; 李茹; 基于信息融合的概率矩阵分解链路预测方法[J]. 计算机研究与发展, 2019, 56(2): 306-318

[20] 王智强; 李茹*; 梁吉业; 张旭华; 武娟; 苏娜; 基于汉语篇章框架语义分析的阅读理解问答研究[J]. 计算机学报, 2016, 39(4): 795-807

[1] 国家自然科学基金委员会, 面上项目, 62272285, 动态网络表示学习与建模方法研究, 2023-01-01 至 2026-12-31, 主持

[2] 国家自然科学基金委员会, 青年科学基金项目, 61906111, 社交网络的可解释性链接预测模型与方法研究, 2020-01-01 至 2022-12-31, 主持

[3] 国家科技部, 科技创新2030-“新一代人工智能”重大项目, 2020AAA0106100, 认知计算基础理论与方法研究, 2020-11 至 2024-10, 参与

[4] 国家自然科学基金委员会, 联合基金项目, U25A20529, 面向古建筑修复的点云数据自适应建模与分析方法, 2026-01-01 至 2029-12-31, 参与

[5] 国家自然科学基金委员会, 联合基金项目, U21A20473, 网络大数据分析挖掘的理论与方法, 2022-01-01 至 2025-12-31, 参与

[6] 山西省科技厅, 山西省重点研发计划项目, 201903D121162, 基于多源异构大数据的科技服务推荐平台, 2019-12 至 2021-12, 参与