王前前
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王前前，现为西安电子科技大学通信工程学院菁英副教授，硕士生导师，2019年在西安电子科技大学通信与信息系统专业获得博士学位。2017.10—2018.10在美国东北大学访学。2019年6月在西安电子科技大学通信工程学院任教。主要研究方向是模式识别、机器学习、图像处理、数据挖掘、多模态聚类等。
获得2019博士后创新人才支持计划（博新计划）、中国博士后科学基金面上项目，陕西省自然基金面上/青年项目，腾讯犀牛鸟创意基金。获2024年度陕西省电子学会科学技术奖自然科学一等奖，获2024年度陕西省高等学校科学技术研究优秀成果二等奖，入选2023/2024年度《全球前2％顶尖科学家榜单》“年度科学影响力排行榜”，获中国图象图形学会2020石青云女科学家奖，获2021年度陕西省优秀博学位论文，获数据挖掘顶级会议IEEE ICDM 2018的 Student Travel Award。获2022年校级优秀本科毕业设计（毕业论文）指导教师，优秀硕士学位指导教师。获2020-2021学年/2022-2023 学年校级“优秀本科生导学团队”荣誉称号。
在国际顶级期刊“ IEEE Trans. Pattern Anal. Mach. Intell”,“IEEE Trans. Neural Networks Learn. Syst.”，“IEEE Trans. Image Process.”和顶级国际会议（CCF A类会议）CVPR,ICCV, ICML,NeurIPS, KDD,AAAI,IJCAI等处发表和录用论文70余篇，5 篇 ESI 高被引论文，一篇热点论文。担任中国图象图形学会女科技工作者委员会委员/多媒体专委会委员，中国人工智能学会青年工作者委员会委员，中国自动化学会青年工作者委员会委员，SCI期刊Electronics的Special Issue Guest Editor， IJCAI 2019，AAAI 2023的Session Chair，担任IJCAI 2021/2025的SPC member，国际一流期刊“IEEE Trans. Cybernetics”, “IEEE Trans. Image Process.”, “IEEE Trans. Neural Networks Learn. Syst.”，“IEEE Trans. Pattern Anal. Mach. Intell”等期刊的审稿人。多次担任CCF A类会议NeurIPS，ICCV，ICLR，ICML，CVPR，KDD，WWW，AAAI，IJCAI，ACM MM的 PC member。
其他链接 ：
个人主页：qianqian.world
谷歌学术主页：https://scholar.google.com/citations?hl=zh-CN&user=oyF9CYwAAAAJ
DBLP主页：https://dblp.org/pid/118/6735-1.html
团队主页：https://web.xidian.edu.cn/qxgao/team.html
招生信息：
现有2025年入学研究生（保研、考研）名额，欢迎咨询：qqwang@xidian.edu.cn 或者 qianqian174@foxmail.com
欢迎通信工程、计算机、人工智能、数学、电子、网络与信息安全等相关专业保研和考研的同学联系。
欢迎本科生报名大学生创新创业训练计划，本科毕设，实验室实习。
News:
**2025-06 祝贺研二赵博文论文“Hypergraph Clustering Network with Partial Attribute Imputation”被CCF A类会议ICCV 2025录用
**2025-06 祝贺研二赵博文获得百度暑期实习offer
**2025-06 祝贺研三章子豪获得西安电子科技大学2025届优秀硕士学位
**2025-06 祝贺研三章子豪获得2025届优秀毕业研究生荣誉称号
**2025-05 祝贺研二江梦平论文“Unified K-Means Clustering with Label-Guided Manifold Learning”被CCF A类会议ICML 2025录用
**2025-04 祝贺研二赵博文，江梦平论文被CCF A类会议IJCAI 2025录用
**2025-04 祝贺研一徐海明2篇论文被CCF A类会议IJCAI 2025录用
**2025-04 祝贺研二赵博文论文“Dual Self-Supervised Deep Graph Clustering”被中科院一区期刊IEEE TMM 2025录用
**2025-04 祝贺研二江梦平论文“Self-Guided Discriminative Locality Preserving Projections”被中科院一区期刊IEEE TMM 2025录用
**2025-03 祝贺研二赵博文论文“Attribute-Missing Multi-view Graph Clustering”被CCF A类会议IEEE CVPR 2025录用
**2025-03 祝贺研一徐海明论文“Deep Fair Multi-View Clustering with Attention KAN”被CCF A类会议IEEE CVPR 2025录用
**2025-01 祝贺研一徐海明论文“Deep Multi-modal Graph Clustering via Graph Transformer Network”被CCF A类会议AAAI 2025录用
**2025-01 祝贺研三章子豪论文“Contrastive Multi-view Subspace Clustering via Tensor Transformers Autoencoder”被CCF A类会议AAAI 2025录用
**2024-10 祝贺研三章子豪，刘美玲获得百度算法岗offer
**2024-10祝贺章子豪，刘美玲，赵博文获得2023-2024学年优秀研究生荣誉称号
**2024-10 祝贺章子豪，刘美玲，赵博文获得2023-2024学年硕士研究生国家奖学金
**2024 祝贺研一赵博文论文“DFMVC: Deep Fair Multi-view Clustering”被CCF A类会议ACM MM 2024录用
**2024-06 祝贺研二章子豪获得饿了么暑期实习offer
**2024 祝贺研二刘美玲论文被CCF A类会议IJCAI 2024录用
**2024 祝贺章子豪，刘美玲获得2022-2023学年优秀研究生荣誉称号
**2023 祝贺章子豪获得2022-2023学年硕士研究生国家奖学金
**2023 祝贺研一章子豪论文“Dropping Pathways Towards Deep Multi-View Graph Subspace Clustering Networks”被CCF A类会议ACM MM 2023录用
近三年发表论文：（详细论文列表见科学研究栏）
2025年：
Qianqian Wang, Bowen Zhao, Zhengming Ding, Wei Feng, Quanxue Gao, Hypergraph Clustering Network with Partial Attribute Imputation, ICCV, 2025.（CCF A类会议）
Qianqian Wang, Mengping Jiang, Zhengming Ding, Quanxue Gao, Unified K-Means Clustering with Label-Guided Manifold Learning, ICML, 2025.（CCF A类会议）
Qianqian Wang, Bowen Zhao, Zhengming Ding, Xiangdong Zhang, Quanxue Gao, A Simple yet Effective Hypergraph Clustering Network, IJCAI, 2025.（CCF A类会议）
Qianqian Wang, Haiming Xu, Zihao Zhang, Zhiqiang Tao, Quanxue Gao, Efficient Multi-view Clustering via Reinforcement Contrastive Learning, IJCAI, 2025.（CCF A类会议）
Qianqian Wang, Haiming Xu, Meiling Liu, Wei Feng, Xiangdong Zhang, Fair Incomplete Multi-View Clustering via Distribution Alignment, IJCAI, 2025.（CCF A类会议）
Qianqian Wang, Mengping Jiang, Wei Feng, Zhengming Ding, Enhanced Unsupervised Discriminant Dimensionality Reduction for Nonlinear Data, IJCAI, 2025.（CCF A类会议）
Qianqian Wang, Bowen Zhao, Zihao Zhang, Quanxue Gao, Licheng Jiao, Dual Self-Supervised Deep Graph Clustering, IEEE Trans. Multim. , 2025.（中科院一区）
Qianqian Wang, Mengping Jiang, Gan Sun, Wei Feng, Licheng Jiao, Self-Guided Discriminative Locality Preserving Projections, IEEE Trans. Multim. , 2025.（中科院一区）
Bowen Zhao, Qianqian Wang*, Zhengming Ding, Quanxue Gao, Attribute-Missing Multi-view Graph Clustering, IEEE CVPR, 2025 (CCF A类会议)
HaiMing Xu, Qianqian Wang*, Boyue Wang, Quanxue Gao, Deep Fair Multi-View Clustering with Attention KAN, IEEE CVPR, 2025 (CCF A类会议)
Quanxue Gao, Fangfang Li, Qianqian Wang, Xinbo Gao, Dacheng Tao, Manifold based Multi-view K-means, IEEE Trans. Pattern Anal. Mach. Intell, 2025（中科院一区）
Xingyu Xue, Jingjing Xue, Quanxue Gao, Qianqian Wang，Tensorized Label Learning based Fast Fuzzy Clustering, AAAI，2025（CCF A类会议）
Wei Feng, Danting Liu, Qianqian Wang, Wenqi Liang, Zheng Yan，Scalable Federated One-Step Multi-View Clustering with Tensorized Regularization，AAAI，2025（CCF A类会议）
Qianqian Wang, Zihao Zhang, Wei Feng, Zhiqiang Tao, Quanxue Gao，Contrastive Multi-view Subspace Clustering via Tensor Transformers Autoencoder，AAAI，2025（CCF A类会议）
Qianqian Wang, HaiMing Xu, Zihao Zhang, Wei Feng, Quanxue Gao，Deep Multi-modal Graph Clustering via Graph Transformer Network，AAAI，2025（CCF A类会议）
2024年：
Bowen Zhao, Qianqian Wang, Zhiqiang Tao, Wei Feng, Quanxue Gao, DFMVC: Deep Fair Multi-view Clustering, ACM MM, 2024.（CCF A类会议）
Wei Feng, Dongyuan Wei, Qianqian Wang, Bo Dong, Quanxue Gao, Multi-view Clustering Based on Deep Non-negative Tensor Factorization, ACM MM, 2024.（CCF A类会议）
Wei Feng, Zhenwei Wu, Qianqian Wang, Bo Dong, Quanxue Gao, Federated Fuzzy C-means with Schatten-p Norm Minimization, ACM MM, 2024.（CCF A类会议）
Jing Li, Quanxue Gao, Qianqian Wang, Cheng Deng, De-Yan Xie: Label Learning Method Based on Tensor Projection. KDD 2024: 1599-1609.（CCF A类会议）
Qianqian Wang, Meiling Liu, Wei Feng, Mengping Jiang, Haiming Xu, Quanxue Gao, Reconstruction Weighting Principal Component Analysis with Fusion Contrastive Learning, IJCAI, 2024.（CCF A类会议）
Wei Feng, Zhenwei Wu, Qianqian Wang, Bo Dong, Zhiqiang Tao, Quanxue Gao, Efficient Federated Multi-View Clustering with Integrated Matrix Factorization and K-Means, IJCAI, 2024.（CCF A类会议）
Wei Feng, Guoshuai Sheng, Qianqian Wang, Quanxue Gao, Zhiqiang Tao, Bo Dong，Partial Multi-view
Clustering via Self-Supervised Network. AAAI, (2024): 11988-11995（CCF A类会议）
Jing Li, Quanxue Gao, Qianqian Wang, Wei Xia: Tensorized Label Learning on Anchor Graph. AAAI,
2024: 13537-13544.（CCF A类会议）
Qianqian Wang, Zhiqiang Tao, Quanxue Gao, Licheng Jiao:Multi-View Subspace Clustering via Structured Multi-Pathway Network. IEEE Trans. Neural Networks Learn. Syst. 35(5): 7244-7250 (2024).（中科院一区，ESI高被引2025）
Wenhui Zhao, Qin Li, Huafu Xu, Quanxue Gao, Qianqian Wang, Xinbo Gao: Anchor Graph-Based Feature Selection for One-Step Multi-View Clustering. IEEE Trans. Multim. 26: 7413-7425 (2024)（中科院一区）
Yu Lei, Zuoyuan Niu, Qianqian Wang, Quanxue Gao, Ming Yang: Anchor graph-based multiview
spectral clustering. Neurocomputing 583: 127579 (2024)（中科院二区）
Zihao Zhang, Qianqian Wang, Chengquan Pei, Quanxue Gao:Deep cross-modal subspace clustering with Contrastive Neighbour Embedding. Neurocomputing 576: 127318 (2024)（中科院二区）
Zihao Zhang, Qianqian Wang, Quanxue Gao, Chengquan Pei, Wei Feng: Unsupervised Cross-View Subspace Clustering via Adaptive Contrastive Learning. IEEE Trans. Big Data 10(5): 609-619 (2024)
Jing Li, Qianqian Wang, Ming Yang, Quanxue Gao, Xinbo Gao: Efficient Anchor Graph Factorization for Multi-View Clustering. IEEE Trans. Multim. 26: 5834-5845 (2024)（中科院一区）
Qian Zhou, Qianqian Wang, Quanxue Gao, Ming Yang, Xinbo Gao:Unsupervised Discriminative Feature Selection via Contrastive Graph Learning. IEEE Trans. Image Process. 33: 972-986 (2024)（中科院一区）
Han Lu, Huafu Xu, Qianqian Wang, Quanxue Gao, Ming Yang, Xinbo Gao:Efficient Multi-View k-Means for Image Clustering. IEEE Trans. Image Process. 33: 273-284 (2024)（中科院一区）
2023年：
Jing Li, Quanxue Gao, Qianqian Wang, Wei Xia, Xinbo Gao: Orthogonal Non-negative Tensor Factorization based Multi-view Clustering. NeurIPS, 2023.（CCF A类会议）
Han Lu, Quanxue Gao, Qianqian Wang, Ming Yang, Wei Xia，Centerless multi-view K-means based on the adjacency matrix，AAAI，37 (7), 8949-8956， (2023)（CCF A类会议）
Qian Zhou, Quanxue Gao, Qianqian Wang, Ming Yang, Xinbo Gao，Sparse discriminant PCA based on contrastive learning and class-specificity distribution，Neural Networks，167, 775-786 (2023)（中科院一区）
Zihao Zhang, Qianqian Wang, Zhiqiang Tao, Quanxue Gao, Wei Feng，Dropping Pathways Towards Deep Multi-View Graph Subspace Clustering Networks，ACM MM, 3259-3267 (2023)（CCF A类会议）
Wei Xia, Qianqian Wang, Quanxue Gao, Ming Yang, Xinbo Gao: Self-Consistent Contrastive Attributed Graph Clustering With Pseudo-Label Prompt. IEEE Trans. Multim. 25: 6665-6677 (2023)（中科院一区，ESI高被引2024）
Wei Xia, Quanxue Gao, Qianqian Wang, Xinbo Gao, Chris Ding, Dacheng Tao: Tensorized Bipartite Graph Learning for Multi-View Clustering. IEEE Trans. Pattern Anal. Mach. Intell. 45(4): 5187- 5202 (2023)（中科院一区，ESI高被引2023，2024，热点论文2025）
Qianqian Wang, Zhiqiang Tao, Wei Xia, Quanxue Gao, Xiaochun Cao, Licheng Jiao: Adversarial Multiview Clustering Networks With Adaptive Fusion. IEEE Trans. Neural Networks Learn. Syst. 34(10): 7635-7647 (2023)（中科院一区，ESI高被引2023）
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