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年度陕西省优秀博士学位论文，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。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. Neural Networks and Learning Systems”，“IEEE Trans. Image Processing”和顶级国际会议（CCF A类会议）CVPR, AAAI, IJCAI等处发表和录用论文50余篇，4 篇 ESI 高被引论文。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的SPC member，国际一流期刊“IEEE Trans. Cybernetics”, “IEEE Trans. Image Processing”, “IEEE Trans. Neural Networks and Learning Systems”，“IEEE Transactions on Pattern Analysis and Machine Intelligence”等期刊的审稿人。多次担任CCF A类会议NeurIPS，ICLR，KDD，AAAI，IJCAI，ACM MM的 PC member。

个人主页：qianqian.world

谷歌学术主页：https://scholar.google.com/citations?hl=zh-CN&user=oyF9CYwAAAAJ

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。

发表论文：

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, Federated Multi-View Clustering via Tensor Factorization, 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）

Wenhui Zhao, Guangfei Li, Haizhou Yang, Quanxue Gao , Qianqian Wang, Embedded Feature Selection on Graph-based Multi-view Clustering, AAAI, 2024: 17016-17023.（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）

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）

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）

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: Multi-View Clustering via Semi-non-negative Tensor Factorization. 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 International Conference on Multimedia, 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）

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）

2022年：

Wei Xia, Quanxue Gao, Qianqian Wang, Xinbo Gao: Tensor Completion-Based Incomplete Multiview Clustering. IEEE Trans. Cybern. 52(12): 13635-13644 (2022)（中科院一区）

Wei Xia, Qianqian Wang, Quanxue Gao, Xiangdong Zhang, Xinbo Gao: Self-Supervised Graph Convolutional Network for Multi-View Clustering. IEEE Trans. Multim. 24: 3182-3192 (2022)（中科院一区）

Qiang Wang,  Gan Sun, Jiahua Dong, Qianqian Wang, Zhengming Ding: Continuous Multi-View Human Action Recognition. IEEE Trans. Circuits Syst. Video Technol. 32(6): 3603-3614 (2022)（中科院一区）

Gan Sun, Yang Cong, Qianqian Wang, Bineng Zhong, Yun Fu: Representative Task Self-Selection for Flexible Clustered Lifelong Learning. IEEE Trans. Neural Networks Learn. Syst. 33(4): 1467-1481 (2022)（中科院一区，ESI高被引2023）

Guoshuai Sheng, Qianqian Wang, Chengquan Pei, Quanxue Gao: Contrastive deep embedded clustering. Neurocomputing 514: 13-20 (2022)（中科院二区）

Qin Li, Huihui He, Hong Lai, Tie Cai, Qianqian Wang, Quanxue Gao: Enhanced nuclear norm based matrix regression for occluded face recognition. Pattern Recognit. 126: 108585 (2022)（中科院一区）

2021年：

Qianqian Wang, Huanhuan Lian, Gan Sun, Quanxue Gao, Licheng Jiao: iCmSC: Incomplete Cross-Modal Subspace Clustering. IEEE Trans. Image Process. 30: 305-317 (2021)（中科院一区）

Qianqian Wang, Zhengming Ding, Zhiqiang Tao, Quanxue Gao, Yun Fu: Generative Partial Multi-View Clustering With Adaptive Fusion and Cycle Consistency. IEEE Trans. Image Process. 30: 1771-1783 (2021)（中科院一区）

Qianqian Wang,  Quanxue Gao,  Linlu Wu, Gan Sun,  Licheng Jiao: Adversarial Multi-Path Residual Network for Image Super-Resolution. IEEE Trans. Image Process. 30: 6648-6658 (2021)（中科院一区）

Qianqian Wang,  Jiafeng Cheng, Quanxue Gao,  Guoshuai Zhao, Licheng Jiao: Deep Multi-View Subspace Clustering With Unified and Discriminative Learning. IEEE Trans. Multim. 23: 3483-3493 (2021)（中科院一区）

Qianqian Wang, Wei Xia, Zhiqiang Tao, Quanxue Gao, Xiaochun Cao: Deep Self-Supervised t-SNE for Multi-modal Subspace Clustering. ACM Multimedia. 2021: 1748-1755（CCF A类会议）

Wei Xia, Quanxue Gao, Qianqian Wang, Xinbo Gao: Regression-based clustering network via combining prior information. Neurocomputing 448: 324-332 (2021)（中科院二区）

2020年：

Quanxue Gao, Huanhuan Lian, Qianqian Wang, Gan Sun: Cross-Modal Subspace Clustering via Deep Canonical Correlation Analysis. AAAI 2020: 3938-3945（CCF A类会议）

Jiafeng Cheng, Qianqian Wang, Zhiqiang Tao, De-Yan Xie, Quanxue Gao: Multi-View Attribute Graph Convolution Networks for Clustering. IJCAI 2020: 2973-2979（CCF A类会议）

Qianqian Wang, Quanxue Gao, Gan Sun, Chris Ding:Double robust principal component analysis. Neurocomputing 391: 119-128 (2020)（中科院二区）

Gan Sun, Yang Cong, Qianqian Wang, Jun Li, Yun Fu: Lifelong Spectral Clustering. AAAI 2020: 5867-5874（CCF A类会议）

Tao Zhang, Yang Cong, Gan Sun, Qianqian Wang, Zhengming Ding: Visual Tactile Fusion Object Clustering. AAAI 2020: 10426-10433（CCF A类会议）

DeYan Xie, Wei Xia, Qianqian Wang, Quanxue Gao, Song Xiao: Multi-view clustering by joint manifold learning and tensor nuclear norm. Neurocomputing 380: 105-114 (2020)（中科院二区）

DeYan Xie, Quanxue Gao, Qianqian Wang, Xiangdong Zhang, Xinbo Gao: Adaptive latent similarity learning for multi-view clustering. Neural Networks 121: 409-418 (2020)（中科院一区）

Quanxue Gao, Zhizhen Wan, Ying Liang, Qianqian Wang, Yang Liu, Ling Shao: Multi-view projected clustering with graph learning. Neural Networks 126: 335-346 (2020)（中科院一区）

2019年及以前：

Zhaoyang Li, Qianqian Wang, Zhiqiang Tao, Quanxue Gao, Zhaohua Yang:Deep Adversarial Multi-view Clustering Network. IJCAI 2019: 2952-2958（CCF A类会议）

Quanxue Gao, Jiafeng Cheng, DeYan Xie, Pu Zhang, Wei Xia, Qianqian Wang: Tensor Linear Regression and Its Application to Color Face Recognition. ICCV Workshops 2019: 523-531（CCF A类会议）

Qianqian Wang, Quanxue Gao, Xinbo Gao, Feiping Nie: ℓ2, p -Norm Based PCA for Image Recognition. IEEE Trans. Image Process. 27(3): 1336-1346 (2018)（中科院一区）

Qianqian Wang, Quanxue Gao, De-Yan Xie, Xinbo Gao, Yong Wang: Robust DLPP With Nongreedy ℓ1-Norm Minimization and Maximization. IEEE Trans. Neural Networks Learn. Syst. 29(3): 738-743 (2018)（中科院一区）

Qianqian Wang, Zhengming Ding, Zhiqiang Tao, Quanxue Gao, Yun Fu: Partial Multi-view Clustering via Consistent GAN. ICDM 2018: 1290-1295（CCF B类会议）

Yang Liu, Shuangshuang Zhao, Qianqian Wang, Quanxue Gao: Learning more distinctive representation by enhanced PCA network. Neurocomputing 275: 924-931 (2018)（中科院二区）

Mengyuan Li, Jing Wang, Qianqian Wang, Quanxue Gao: Trace ratio 2DLDA with L1-norm optimization. Neurocomputing 266: 216-225 (2017)（中科院二区）

Qianqian Wang, Lan Ma, Quanxue Gao, Yunsong Li, Yunfang Huang, Yang Liu: Adaptive maximum margin analysis for image recognition. Pattern Recognit. 61: 339-347 (2017)（中科院一区）

Qianqian Wang, Quanxue Gao, Xinbo Gao, Feiping Nie: Optimal mean two-dimensional principal component analysis with F-norm minimization. Pattern Recognit. 68: 286-294 (2017)（中科院一区）

Qianqian Wang, Quanxue Gao: Two-Dimensional PCA with F-Norm Minimization. AAAI 2017: 2718-2724（CCF A类会议）

Qianqian Wang, Quanxue Gao, Xinbo Gao, Feiping Nie: Angle Principal Component Analysis. IJCAI 2017: 2936-2942（CCF A类会议）

Qianqian Wang, Fang Chen, Quanxue Gao, Xinbo Gao, Feiping Nie: On the schatten norm for matrix based subspace learning and classification. Neurocomputing 216: 192-199 (2016)（中科院二区）

Qianqian Wang, Quanxue Gao: Robust 2DPCA and Its Application. CVPR Workshops 2016: 1152-1158（CCF A类会议）

Quanxue Gao, Qianqian Wang, Yunfang Huang, Xinbo Gao, Xin Hong, Hailin Zhang: Dimensionality Reduction by Integrating Sparse Representation and Fisher Criterion and its Applications. IEEE Trans. Image Process. 24(12): 5684-5695 (2015)（中科院一区）

Qianqian Wang, Xiaolei Hu, Quanxue Gao, Bing Li, Yong Wang: Global-local fisher discriminant approach for face recognition. Neural Comput. Appl. 25(5): 1137-1144 (2014)（中科院二区）

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