王楊檢視原始碼討論檢視歷史
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王楊，男，合肥工業大學計算機學院教授。
研究方向
獲獎情
Best Research Paper Runner-up Award, PAKDD 2014. Taiwan.
學術成果
主要論著
(* denotes the corresponding author)
Y. Chen, Yang Wang*, P. Ren, Meng Wang, Maarten de Rijke. Bayesian Feature Interaction Selection for Factorization Machines. Artificial Intelligence, Elsevier 220(302):103589, IF:9.008
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.
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 (中國科學 CCF Rank A), 2022.
Yang Wang. Survey on Deep Multi-modal Data Analytics: Collaboration, Rivalry and Fusion, ACM Trans. Multimedia Computing, Communications and Applications, 17(1), 2021.
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, 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, 2021.
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.
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.
Y.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: 145
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. Beijing China.
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 China.
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: 168
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: 101
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)
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)
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.[1]