本科毕业于大连理工大学并于2015年9月在澳大利亚新南威尔士大学计算机与工程学院获得博士学位，现为合肥工业大学计算机与信息(人工智能)学院 教授，斛兵学者，博士生导师，入选国家级青年人才项目, 安徽省高层次人才计划，安徽省领军人才。IEEE Senior Member (IEEE 高级会员)。 主持国家自然科学基金三项（ 国家自然科学基金联合基金重点项目，面上项目，青年基金项目）以及黄山学者人才项目一项。担任信息搜索领域国际顶级杂志 ACM Transactions on Information Systems (ACM TOIS, CCF Rank A) 副编 (Associate Editor, 2019至今), 连续4年入选斯坦福大学统计发布的人工智能与图像处理领域 全球顶级科学家 (2024, 2023,2022, 2021 年)。至今在模式识别相关领域顶级杂志与会议上发表文章100篇，其中 ESI 高被引文章 9 篇，并且全部进入top 1% 列表, 发表源包括 IEEE Trans. Pattern Analysis and Machine Intelligence (IEEE T-PAMI), Artificial Intelligence (Elsevier), International Journal of Computer Vision (IJCV) ,  IEEE TIP, IEEE TNNLS, IEEE TMM, ACM TOIS, ACM TKDD, Machine Learning (Springer), IEEE TKDE, IEEE TCYB, VLDB Journal, SCIENCE CHINA Information Sciences (中国科学:信息科学), CVPR, ECCV, KDD, IJCAI, AAAI, ACM SIGIR, ACM Multimedia, IEEE ICDM, ACM CIKM. 其中两篇论文被选为IJCAI 最有影响力文章之一(详见链接 https://www.paperdigest.org/2021/03/most-influential-ijcai-papers-2021-03/), 获得2014年亚太数据挖掘大会 (PAKDD)最佳论文奖亚军,以及Neurocomputing 杰出审稿人奖.任多个顶级会议程序委员会委员例如 IJCAI, AAAI, CVPR, ECCV, ACM Multimedia, ACL, EMNLP, ACM Multimedia Asia, ECMLPKDD etc 国家自然科学基金 优秀青年基金（海外）项目，面上项目，地区基金项目 通讯评审专家，中国科协科技人才奖项评审专家, 荷兰基金委员会 (Dutch Research Council) 评审专家. 同时为荷兰阿姆斯达丹大学 (University of Amsterdam, Netherlands)博士学位海外评审委员会委员, 担任15个以上顶级杂志审稿人例如 IEEE TPAMI, Journal of Machine Learning Research (JMLR), IEEE TIP, IEEE TIFS, ACM TOIS (Special Issue Proposal), IEEE TNNLS, Machine Learning (Springer), Pattern Recognition (Elsevier)， ACM TKDD and Scientific Reports. 担任ACM Transactions on Multimedia (ACM TOMM), IEEE Multimedian Magazine, 等杂志客座主编. IEEE ICME (CCF Rank B) 2021, ACM ICMR 2021 (CCF Rank B), ACM ICMR 2022 (CCF Rank B) special track PC Chair. Area Chair for ACM Multimedia 2024. Google scholar 学术引用6500+, H-因子 40. 

- 招收2025年9月入学的学术型博士， 第一时间联系我。(2024年9月入学的学术型博士以及工程博士已满 不再接收) 

- 同时 招收 2025年9月入学的硕士研究生 （2024年9月入学的硕士已满，不再接收）, 名额有限 鼓励尽早联系我！

- 招收博士后，第一时间联系我 详细信息见:  /hfut/smu_ci/info/1063/15029.htm 

 鼓励（即将）博士毕业青年教师 准备 一份 未来学术生涯发展规划。

更多详细信息以及招生信息 请参考个人主页：https://sites.google.com/view/wayag/home

Selected Grants:

多模态环境下的多媒体对话分析与理解. 国家自然科学基金联合基金重点项目，255万， 项目负责人， 2022年1月-2025年12月

基于生成对抗网络的无监督跨域行人识别方法研究，国家自然科学基金面上项目，60万，项目负责人，2022年1月-2025年12月

基于合作式的多视图数据深度子空间聚类的研究，国家自然科学基金青年基金项目（结题），24万，项目负责人， 2019年1月-2021年12月

网络空间虚拟身份塑造及应用技术，国家自然科学基金联合基金重点项目，80万，合作单位负责人，2020年1月-2023年12月

部分论文如下：(* denotes the corresponding author)

Yang Wang, Biao Qian, Haipeng Liu, Yong Rui, Meng Wang*. Unpacking the Gap Box Against Data-Free Knowledge Distillation. IEEE Trans. Pattern Analysis and Machine Intelligence.   46 (9):6280-6291, 2024. 

Y. Chen, Yang Wang*, P. Ren, Meng Wang, Maarten de Rijke. Bayesian Feature Interaction Selection for Factorization Machines. Artificial Intelligence, Elsevier 220(302):103589, 2022 IF:9.008

        Y. Chen, H. Wang, J. Peng, Yang Wang*. Anchor Learning with Potential Cluster Constraints for Multi-view Clustering. AAAI 2025, Philadelphia, USA

         L. Qi, H. Wang, J. Zhang, J. Peng, Yang Wang. Unsupervised Domain Adaptive Person Search via Dual Self-Calibration. AAAI 2025, Philadelphia, USA

H. Liu,  Yang Wang*, B. Qian, Meng Wang, Yong Rui. Structure Matters: Tackling the Semantic Discrepancy in Diffusion Models for Image Inpainting. CVPR 2024, Seattle, USA.  

X. Li, B. Wang, Yang Wang*, Meng Wang. Graph-based Text Classification by Contrastive Learning with Text-level Graph Augmentation. ACM Trans. Knowledge Discovery from Data -  ACM TKDD, 2024. 

         J. Long, G. Ye, T. Chen, Yang Wang, Meng Wang, Hongzhi Yin*, Diffusion-Based Cloud-Edge-Device Collaborative Learning for Next POI Recommendations. ACM KDD                  2024, Barcelona, Spain. 

X. Liang, T. Chen, L. Cui, Yang Wang, Meng Wang, Hongzhi Yin*. Lightweight Embeddings for Graph Collaborative Filtering. ACM SIGIR 2024. Washington DC, USA.  

Y. Zhang, Z. Zhang, Yang Wang, Z. Zhang, L. Zhang, S. Yan, Meng Wang. Dual-constrained Deep Semi-Supervised Coupled Factorization Network with Enriched Prior. International Journal of Computer Vision (IJCV), 129(12): 3233-3254, 2021. 

T. Cui, H. Wang, J. Peng, R. Deng, X. Fu, Yang Wang. Fast One-Stage Unsupervised Domain Adaptive Person Search. IJCAI 2024,  Jeju Island, Korea. 

Y. Jiang, H. Wang, J. Peng, X. Fu, Yang Wang. Scene-Adaptive Person Search via Bilateral Modulations. IJCAI 2024,  Jeju Island, Korea. 

B. Qian, Yang Wang*, R. Hong, Meng Wang. Adaptive Data-Free Quantization. CVPR 2023, Vancouver, Canada. 

B. Qian, Yang Wang*, Richang Hong, Meng Wang. Rethinking Data-free Quantization as a Zero-sum Game. AAAI 2023, Washington DC, USA. 

X. Gao, Yang Wang*, Meng Wang. Macroscopic-and-Microscopic Rain Streaks Disentanglement Network for Single-image Deraining. IEEE Trans. Image Processing, 32:2663-2677, 2023.

L Liu, Y. Wang, Z Zhang, F Boussaid, M Bennamoun, X Xie, J Shen. Learning Resolution-Adaptive Representations for Cross-Resolution Person Re-Identification. IEEE Transactions on Image Processing, 2023.

H. Wang, M. Yao, Y. Chen, Y. Xu, H. Liu, W. Jia, X. Fu, Yang Wang. Manifold-based Incomplete Multi-view Clustering via Bi-Consistency Guidance. IEEE Trans. Multimedia, 2024. 

Yang Wang. Survey on Deep Multi-modal Data Analytics: Collaboration, Rivalry and Fusion, ACM Trans. Multimedia Computing, Communications and Applications, 17(1), 2021.

Y. Chen, Yang Wang*, P. Ren, Meng Wang, Maarten de Rijke. Bayesian Feature Interaction Selection for Factorization Machines. AAAI 2023 (Journal Track). Washington, USA.

B. Qian, Yang Wang*, H. Yin, R. Hong, Meng Wang. Switchable Online Knowledge Distillation. ECCV 2022, Tel-Aviv, Israel. See the online talk at VALSE (http://valser.org/article-613-1.html)

H. Liu, Yang Wang*, Meng Wang, Yong Rui. Delving Globally into Texture and Structure for Image Inpainting. ACM Multimedia 2022, Lisbon, Portugal.

Yang Wang, J. Peng, H. Wang, Meng Wang*. Progressive Learning with Multi-scale Attention Network for Cross-domain Vehicle Re-identification . SCIENCE CHINA Information Sciences (中国科学:信息科学 CCF Rank A), 2022. (ESI highly cited paper, Top 1%)

X. Li,  Yang Wang*, J. Ouyang, Meng Wang.  Topic Extraction from Extremely Short Texts with Variational Manifold Regularization. Machine Learning, 2021, Springer. 

T. Chen, Hongzhi Yin, J. Long, N. Q. V. Hung, Yang Wang, Meng Wang.  Thinking inside The Box: Learning Hypercube Representations for Group Recommendation. 

ACM SIGIR 2022.

T. Chen, Hongzhi Yin, Y. Zheng, Z. Huang, Yang Wang, Meng Wang. Learning Elastic Embeddings for Customizing On-Device Recommenders. ACM KDD 2021. 

B. Qian, Yang Wang*, R. Hong, Meng Wang, Ling Shao. Diversifying Inference Path Selection: Moving-Mobile-Network for Landmark Recognition. IEEE Trans. Image Processing, 2021. 

C. Zhang, Yang Wang*, L. Zhu, J. Song, Hongzhi Yin. Multi-Graph Heterogeneous Interaction Fusion for Social Recommendation. ACM Trans. Information Systems, 2022. 

Yang Wang et al., Iterative Views Agreement: An Iterative Low-Rank based structured Optimization Method to Multi-view Spectral Clustering, IJCAI 2016, New York. Google Scholar citations: 212 (selected as one of the most influential IJCAI papers, see https://www.paperdigest.org/2021/03/most-influential-ijcai-papers-2021-03/)

Y. Wei, Z. Zhang*, Yang Wang*, Mingliang Xu, Y. Yang, Shuicheng Yan, Meng Wang. DerainCycleGAN: Rain Attentive CycleGAN for Single Image Deraining and Rainmaking. IEEE Trans. Image Processing, 2021. 

Z. Huan, Z. Zhang, Yang Wang, Z. Zhang,  M. Xu, Y. Yang, Meng Wang. GCM-Net: Towards Effective Global Context Modeling for Image Inpainting. ACM Multimedia 2021, Chengdu, China.

X. Liu, B. Qian, H. Liu, Yang Wang, Meng Wang. Seeking False Hard Negatives for Graph Contrastive Learning. IEEE Trans. Circuits and Systems for Video Technology, 2024. 

L. Wu， Y. Wang*, J. Wang, Q. Tian, M. Wang. Towards Generating Discriminant Person Images with Manifold Mixup. IEEE Trans.  Pattern Analysis and Machine Intelligence, IF:17.73, 2020. (minor revision)

J. Peng, Y. Wang*, H. Wang, Z. Zhang, X.Fu, M.Wang. Unsupervised Vehicle Re-identification with Progressive Adaptation. IJCAI 2020, Yokohama, Japan.

X. Li, Y. Wang*. Recovering Accurate Labeling Information from  Partially Valid Data for Effective Multi-Label Learning. IJCAI 2020, Yokohama, Japan.

D. Guo, Y. Wang*, P. Song, M. Wang.Recurrent Relational Memory Network for Unsupervised Image Captioning. IJCAI 2020, Yokohama, Japan.

Y. Zhang, Z. Zhang*, Yang Wang*, Z. Zhang, L. Zhang, S. Yan, Meng Wang.  Partial-Label and Structure-constrained Deep Coupled Factorization Network. AAAI 2021.

T. Chen, H. Yin, G. Ye, Z. Huang, Y. Wang, M. Wang. Try this Instead:Personalized and Interpretable Substitute Recommendation. ACM SIGIR 2020, Xian, China.

Y. Chen, P. Ren, Y. Wang*, Maarten de Rijke. Bayesian Personalized Feature Interaction Selection for Factorization Machines, ACM SIGIR 2019, 665-674,Pairs, France.

J. Chi, J. Ouyang, X. Li, Yang Wang, Meng Wang. Approximate Optimal Transport for Continuous Densities with Copulas. IJCAI 2019, Macao, China.

S. Pan, J. Wu, X. Zhu, C. Zhang, Yang Wang. Tri-party Deep Network Representation. IJCAI 2016.New York City, USA.

Y. Wang et al., Effective Multi-Query Expansions: Robust Landmark Retrieval, ACM Multimedia 2015, Google Citations: 60.

Y. Wang et al., LBMCH:Learning Bridging mapping for cross-modal Hashing, ACM SIGIR 2015, Google Citations: 70

Z. Zhang, W. Jiang, Yang Wang, Q, Ye, M. Zhao, M. Xu, Meng Wang.  

Discriminative Additive Scale Loss for Deep Imbalanced Classification and Embedding.  IEEE ICDM 2021. 

Z Zhang, Y Sun, Yang Wang, Z Zhang, L Wu, M Wang.  

MDPL-net: Multi-layer Dictionary Learning Network with Added Skip Dense Connections.  IEEE ICDM 2020. Italy.

Z. Zhang, Y. Sun, Z. Zhang, Yang Wang, G. Liu, Meng Wang.   Learning Structured Twin-Incoherent Twin-Projective Latent Dictionary Pairs for Classification. IEEE ICDM, 2019. 

Z Zhang, L Wang, Yang Wang, S Li, Z Zhang, Z Zha, M Wang.  Adaptive Structure-Constrained Robust Latent Low-Rank Coding for Image Recovery. IEEE ICDM. 2019. Beijing 

H. Yin, H Chen, X Sun, H Wang, Yang Wang, N Quoc. SPTF: A Scalable Probabilistic Tensor Factorization Model for Semantic-Aware Behavior Prediction. IEEE ICDM 2017.

Y. Chen, X. Zhao, X. Lin, Yang Wang. Towards Frequent Subgraph Mining on Single Large Uncertain Graphs. IEEE ICDM 2015. Atlantic City, USA.

Y. Wang et al., Robust Subspace Clustering for Multi-view Data by Exploiting Correlations Consensus, IEEE Trans. Image Processing, 24(11):3939-3949, 2015. Google Scholar citations: 220 (ESI Highly Cited Paper, Top 1%)

Y. Wang et al., Effective Multi-Query Expansions: Collaborative Deep Networks for Robust Landmark Retrieval. IEEE Trans. Image Processing, 26(3):1393-1404,2017. Google scholar citations: 130

Y. Chen, Yang Wang*, X. Zhao, H.Yin, Maarten de Rijke. Local Variational Feature-based Similarity Models for Recommending Top-N New Items. ACM Trans. Information Systems (ACM TOIS), 2020.

Y. Chen, Yang Wang, X. Zhao, Maarten de Rijke. Block-aware Item Similarity Models for Top-N Recommendation. ACM Trans. Information Systems (ACM TOIS), 2020.

Y. Wang et al. Multi-view Spectral Clustering via Structured Low-Rank Matrix Factorizations. IEEE Trans. Neural Networks and Learning Systems, 29(10):4833-4843, 2018. Google scholar citations: 173 (ESI Highly cited paper, Top 1%)

Y. Wang et al., Unsupervised metric fusion over Multiview Data by Graph Random Walk based cross-view diffusion. IEEE Trans. Neural Networks and Learning Systems,28(1):57-70, 2017. Google scholar citations: 10 

L. Wu, Y. Wang*, L. Shao. Cycle-Consistent Deep Generative Hashing for Cross-modal Retrieval.IEEE Trans. Image Processing 28(4):1602-1612,2019. Google scholar citations: 124 (ESI Highly Cited Paper, Top 1%)

L. Wu, Y. Wang*, J. Gao et al., Deep Attention-based Spatially Recursive Neural Networks for Fine-grained Visual Recognition. IEEE Trans. Cybernetics, 49(5):1791-1802,2019. Google Scholar Citations: 130 (ESI Highly Cited Paper, top 1%) 

L. Wu, Y. Wang*, J. Gao et al., Where-and-When to Look: Deep Siamese Attention Networks for Video-based Person Re-identification. IEEE Trans. Multimedia, 21(6):1412-1424, 2019,Google Citations: 119 (ESI Highly Cited Paper, Top 1%)

L. Wu, Y. Wang*, H. Yin, M. Wang, L. Shao. Few-Shot Deep Adversarial Learning for Video-based Person Re-identification. IEEE Trans. Image Processing, 29(1):1233-1245,2020. 

J. Ren, Z. Zhang, S. Li, Yang Wang, G. Liu, Shuicheng Yan, Meng Wang. Learning Hybrid Representation by Robust Dictionary Learning in Factorized Compressed Space. IEEE Trans. Image Processing, 2020.

L. Wu, R. Hong, Yang Wang*, Meng Wang. Cross-Entropy Adversarial View Adaptation for Person Re-identification. IEEE Trans. Circuits and Systems for Video Technology, 30(7):2081-2092, 2020.

L. Wu, Yang Wang, S. Pan. Exploiting attribute correlations: A novel trace lasso-based weakly supervised dictionary learning method。 IEEE Trans. Cybernetics, 2017.

Z. Zhang, Y. Sun, Yang Wang*, Z. Zhang, H. Zhang, G. Liu, Meng Wang.Twin-Incoherent Self-Expressive Locality-Adaptive Latent Dictionary Pair Learning for Classification. IEEE Trans. Neur Netw. Learning Syst, 2021.

H. Wang, Yang Wang*, Z. Zhang, X. Fu, Z. Li, M. Xu, Meng Wang. Kernelized Multiview Subspace Analysis by Self-weighted Learning. IEEE Trans. Multimedia, 2020.

X. Zhao, C. Xiao, X. Lin, Yang Wang. Efficient Structure Similarity Searches: A Partition-Based Approach. VLDB Journal, 2018.

L. Wu, Yang Wang*, J.  Gao, Meng Wang, Z. Zha, Dacheng Tao. Deep Co-attention based Comparators for Relative Representation Learning in Person Re-identification. IEEE Trans. Neur Netw. Learning Syst, 2021.

X. Gao, Yang Wang*, J. Cheng, M. Xu, Meng Wang. Meta-learning Based Relation and Representation Learning Networks for Single-image Deraining. Pattern Recognition, 2021, Elsevier. 

L. Wu, Y. Wang*,L. Shao, M. Wang. 3-D PersonVLAD: Learning Deep Global Representations for Video-Based Person Reidentification. IEEE Trans. Neural Networks and Learning Systems, 30(11):3347-3359,2019, Google Citations: 50

L. Wu, Y. Wang*, J. Gao et al. Deep Adaptive Feature Embedding with Local Sample Distribution for Person Re-identification. Pattern Recognition, 73:275-288,2018. Google Citations:127. (ESI Highly Cited Paper, Top 1%)

L. Wu, Yang Wang, X. Li, J. Gao. What-and-Where to Match: Deep Spatially Multiplicative Integration Networks for Person Re-identification. Pattern Recognition, 76:727-738, 2018. Google Citations: 100 .(ESI Highly Cited Paper, Top 1%)

X. Du, H. Yin, L. Chen, Yang Wang, Y. Yang, X. Zhou. Personalized Video Recommendation Using Rich Contents from Videos. IEEE Trans. Knowledge and Data Engineering, 2020. 

Y. Chen, X. Zhao, X. Lin, Yang Wang, D. Guo. Efficient Mining of Frequent Patterns on Uncertain Graphs. IEEE Trans. Knowledge and Data Engineering, 2019. 

X. Li, Y. Wang*, Z. Zhang et al., RMoR-AION: Robust Multi-output Regression by Simultaneously Alleviating Input and Output Noises. IEEE Trans. Neural Networks and Learning Systems, 2021.

T. Chen, Hongzhi Yin,  X Zhang, Z Huang, Yang Wang, Meng Wang. Quaternion Factorization Machines: A Lightweight Solution to Intricate Feature Interaction Modelling. IEEE Transactions on Neural Networks and Learning Systems, 2021. 

M. Fang, J. Zhou, J, Yin, Y. Wang, D. Tao. Data Subset Selection with Imperfect Multiple Labels. IEEE Trans. Neural Networks and Learning Systems, 2019. 

Y Wei, Z Zhang, Y. Wang, H Zhang, M Zhao, M Xu, M Wang. Semi-DerainGAN: A New Semi-supervised Single Image Deraining Network. IEEE International Conference on Multimedia and Expo (ICME), 2021.

S. Hao, T. Chen, Yang Wang*, R. Guo, Meng Wang. Adaptive Multi-Task Dual-Structured Learning with Its Application on Alzheimer’s Disease Study. ACM Trans. Internet Technology, 2021.

Yang Wang, L. Wu. Beyond Low-Rank Representations: Orthogonal Clustering Basis Reconstruction with Optimized Graph Structure for Multi-view Spectral Clustering. Neural Networks, 2018 Elsevier, Google Citations： 80.

Z. Zhang, Z. Tang, Yang Wang*, Z. Zhang, C. Zhan, Z. Zha, Meng Wang.  Dense Residual Network: Enhancing Global Dense Feature Flow for Character Recognition. Neural Networks, 2021, Elsevier. 

L. Wu, Y. Wang, J. Shepherd. Efficient image and tag co-ranking: a bregman divergence optimization method. ACM Multimedia, 2013.

Yang Wang, X. Lin, Lin Wu. Exploiting correlation consensus: towards subspace clustering for multi-modal data. ACM Multimedia 2014. 

Yang Wang, X Lin, Q. Zhang. Towards metric fusion on multi-view data: a cross-view based graph random walk approach. ACM CIKM, BullingGame, CA, USA.2013.