Greetings! Yang Wang (IEEE Senior Member) earned a PhD degree (2015.09) from The University of New South Wales, Kensington, Australia. He is currently a Hubing Professor (斛兵学者) and PhD supervisor (博士生导师) at department of computer science and artificial intelligence, Hefei University of Technology, China, while selected to National Talent Program - Ten Thousands Talent Program (国家万人计划 青年拔尖人才), *** Talent Program of Anhui Province (安徽省***计划), Leading Scientist of Anhui Province (安徽省领军人才), China. He has been selected to Top Ranked Scientist list by Stanford University  at Artificial Intelligence & Image Processing subfield on the successive year 2024, 2023, 2022 and 2021. Before that, He has been an Associate Professor at Faculty of Electronic Engineering, Dalian University of Technology, China; a Research Fellow at University of New South Wales,  Australia.  His research has been supported by various research fundings from National Natural Science Foundation of China (主持国家自然科学基金联合基金重点项目，面上项目等). So far, he has published 100 research papers, including 9 ESI highly cited papers, most of which are (to be) appeared in the major venues, such as IEEE Trans. Pattern Analysis and Machine Intelligence (T-PAMI),  Artificial Intelligence (Elsevier), International Journal of Computer Vision (IJCV), IEEE TIP, IEEE TNNLS, IEEE TMM, ACM TOIS, Machine Learning (Springer),  ACM TKDD, IEEE TKDE,  VLDB Journal, CVPR, ECCV, KDD, IJCAI, AAAI, ACM SIGIR, ACM Multimedia, IEEE ICDM, ACM CIKM, SCIENCE CHINA Information Sciences (中国科学: 信息科学) etc. Yang was the winner of Best Research Paper Runner-up Award for PAKDD 2014, and was a program committee member for  various leading conferences such as IJCAI, AAAI, CVPR, ECCV, ACL, EMNLP, ACM Multimedia, ACM Multimedia (Asia), ECMLPKDD, etc,  PhD evaluation committee member for University of Amsterdam,  Netherlands, while regularly served as the invited reviewer for National Natural Science Foundation of China (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), Dutch Research Council, along with more than 15 leading international journals such as IEEE TPAMI, IEEE TIP, ACM  TOIS (Special Issue Proposal), Machine Learning (Springer), IEEE TIFS, IEEE TSP, ACM TKDD and Scientific Reports, etc, highlighting an outstanding reviewer award for Neurocomputing (An international journal), with google scholar citations 6000+, H-index 39, a Guest Editor for numerous journals, such as ACM TOMM, IEEE Multimedia Magazine, Pattern Recognition Letter, a program chair for special session of ACM ICMR 2022, 2021, IEEE ICME 2021, an area chair for ACM Multimedia 2024, meanwhile serving as Associate Editor for ACM Transactions on Information Systems (ACM TOIS, CCF Rank A). 

I am regularly calling for excellent postgraduate research students, please access the expected requirements  here; see my current student list here

I am regularly performing the teachings for university students. For more details, please access here.  

I am currently calling for the postdoctoral candidate; for detailed instructions, please access here (strongly suggesting the candidate (to approach the PhD graduation) to contact me as early as possible)

I am currently calling for the PhD candidate to be enrolled at 09/2025 (please refer to the lodge requirements for the year 2024), application will be started at the beginning of the year 2025,  strongly suggesting the early bird to email me for a final selection. 

Access full research publication list here . Some of my representative publications are listed below :

Featured Survey:

Yang Wang. Survey on Deep Multi-modal Data Analytics: Collaboration, Rivalry, and Fusion.  ACM TOMM 17(1), 2021. (ESI Highly cited paper, Top 1%)

Selected Publications (* denotes the corresponding author) 

1. Yang Wang, B. Qian, H. Liu, Y. Rui, Meng Wang*. Unpacking the Gap Box Against Data-Free Knowledge Distillation. IEEE Trans. Pattern Analysis and Machine Intelligence, 46(9): 6280-6291, 2024. IF: 23.6 (Code is released here)

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

3. 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.

4. 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. (Code is released here)

5. 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. 

6. X. Liang, T. Chen, L. Cui, Yang Wang, Meng Wang, Hongzhi Yin*. Lightweight Embeddings for Graph Collaborative Filtering. ACM SIGIR 2024, Washington DC, USA.  (Code is released here)

7. B. Qian, Yang Wang*, R. Hong, Meng Wang. Adaptive Data-Free Quantization. CVPR 2023, Vancouver, Canada. (Code is released here). 

8. B. Qian, Yang Wang*, R. Hong, Meng Wang. Rethinking Data-Free Quantization as a Zero-Sum Game. AAAI 2023 (Code and project information are released here). Washington DC USA.

9. 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.  (Code is released here)

10. Y. Jiang, H. Wang, J. Peng, X. Fu, Yang Wang. Scene-Adaptive Person Search via Bilateral Modulations. IJCAI 2024,  Jeju Island, Korea.  (Code is released here)

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

12. 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. (Code is released here)

13. 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. (Code is released here)

14. B. Qian, Yang Wang*, Hongzhi Yin, Richang Hong, Meng Wang. Switchable Online Knowledge Distillation. ECCV 2022, Tel-Aviv, Israel.  (Code and project information are released here) See the online talk at VALSE here

15. H. Liu, Yang Wang*, Meng Wang, Yong Rui. Delving Globally into Texture and Structure for Image Inpainting. ACM Multimedia 2022. (Code is released here; we upload Places2, the up-to-date largest image inpainting benchmark.)

16. 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. 

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

18. 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.

19. H. Zheng, 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. (Code)

20. D. Guo, Yang Wang*, P. Song, Meng Wang. Recurrent Relational Memory Network for Unsupervised Image Captioning. IJCAI 2020, Yokohama, Japan. (Code is released here (including pretrained model)) 

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

22. J. Peng, Yang Wang*, H. Wang, Z. Zhang, X. Fu, Meng Wang. Unsupervised Vehicle Re-identification with Progressive Adaptation. IJCAI 2020, Yokohama, Japan. (Code is released here)

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

24. T. Chen, Hongzhi Yin, G. Ye, Z. Huang, Yang Wang, Meng Wang. Try This Instead: Personalized and Interpretable Substitute Recommendation. ACM SIGIR, 2020, Xian, China. 

25. Y. Chen, P. Ren, Yang Wang*, Maarten de Rijke. Bayesian Personalized Feature Interaction Selection for Factorization Machines. ACM SIGIR, 2019, Pairs, France. (Code)

26. Yang Wang et al., Iterative Views Agreement: An Iterative Low-Rank based Structured Optimization Method to Multi-View Spectral Clustering. IJCAI 2016, New York, USA. Selected as one of the Most Influential IJCAI papers (see the complete list here, version 2021-03, Rank 15) (Code is here combined with [Wang et al., TNNLS 2018])

27. B. Qian, Yang Wang*, Richang Hong, Meng Wang, Ling Shao. Diversifying Inference Path Selection: Moving-Mobile-Network for Landmark Recognition. IEEE Trans. Image Processing, 30: 4894-4904, 2021. IF:10.856 (Code is released here) (Data set with geo-location tagged by us: please email me, too large to be uploaded)

28. Y. W, L. Liu, Yang Wang et al., Learning Resolution-Adaptive Representations for Cross-Resolution Person Re-Identification. IEEE Trans. Image Processing, 2023. IF: 10.6

29. 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% (Code is released here; password: code -- [press enter key twice if the linkage is empty] -- including the training model). IF: 7.275

30.  X. Li, Yang Wang*, J. Ouyang,  Meng Wang. Topic Extraction from Extremely Short Texts with Variational Manifold Regularization. Machine Learning , 110: 1029-1066, 2021, Springer Press. (Code is released here)

31. L. Wu, Yang Wang*, Hongzhi Yin, Meng Wang, Ling Shao.  Few-Shot Deep Adversarial Learning for Video-based Person Re-identification. IEEE Trans. Image Processing, 29(1): 1233-1245, 2020.  (highlighted by IEEE COMSOC MMTC Communications – Review, access here)

32. C. Zhang, Yang Wang*, L. Zhu, J. Song, Hongzhi Yin. Multi-Graph Heterogeneous Interaction Fusion for Social Recommendation. ACM Trans. Information Systems, ACM TOIS, 40(2), 2022. (Code is released here)

33. Y. Chen, Yang Wang, X. Zhao, J. Zou, Maarten de Rijke. Block-aware Item Similarity Models for Top-N Recommendation. ACM Trans. Information Systems, ACM TOIS, 38(4), 2020. (Code is released here)

34. Y. Chen, Yang Wang*, X. Zhao, Hongzhi Yin, Markov lya, Maarten de Rijke. Local Variational Feature-based Similarity Models for Recommending Top-N New Items.  ACM Trans.  Information Systems, ACM TOIS, 38(2), 2020.  (Code is released here)

35. Y. Wei, Z. Zhang*, Yang Wang*, M. Xu, Y. Yang, Shuicheng Yan and Meng Wang, DerainCycleGAN: Rain Attentive CycleGAN for Single Image Deraining and Rainmaking, IEEE Trans. Image Processing, 30:4788-4801, 2021. (Code is released here)

36. 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, 29:3941-3956, 2020. 

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

38. Yang Wang, X. Lin, Lin Wu et al., Robust Subspace Clustering for Multi-View Data by Exploiting Correlation Consensus. IEEE Trans. Image Processing 24(11): 3939-3949 (2015).(Code) (ESI Highly Cited Paper, Top 1%)

39. Yang Wang, X. Lin, Lin Wu. Effective Multi-Query Expansions: Collaborative Deep Networks for Robust Landmark Retrieval. IEEE Trans. Image Processing 26(3): 1393-1404 (2017)

40. X. Du, Hongzhi Yin, L. Chen, Yang Wang, Yi Yang, Xiaofang Zhou. Personalized Video Recommendation Using Rich Contents from Videos. IEEE Trans. Know. and Data Engineering, 2020.

41. Yifan Chen, Xiang Zhao, Xuemin Lin, Yang Wang, Deke Guo. Efficient Mining of Frequent Patterns on Uncertain Graphs. IEEE Trans. Knowledge and Data Engineering, 2019

42. S. Pan, J. Wu, X. Zhu, C. Zhang, Yang Wang.  Tri-Party Deep Network Represenattion. IJCAI 2016, New York, USA (Selected as one of the most influential IJCAI papers, see the complete list here, version 2021-03, rank 6)

43. H. Wang, Yang Wang*, Z. Zhang, X. Fu, L. Zhuo, M. Xu, Meng Wang. Kernelized Multiview Subspace Analysis by Self-weighted Learning. IEEE Trans. Multimedia, 23:3828-3840, 2021. (Code is released here -- password: code [press enter key twice if the linkage is empty] -- weight parameters are explicitly specified)

44. Yang Wang, X. Lin, Lin Wu et al., Effective Multi-Query Expansions: Robust Landmark Retrieval, ACM Multimedia 2015. (Code)

45. Yang Wang et al., LBMCH: Learning Bridging Mapping for Cross-modal Hashing. ACM SIGIR 2015 (Code). 

46. Xiang Zhao, C. Xiao, Xuemim, Lim, Yang Wang.  Efficient Structure Similarity Searches: A Partition-Based Approach. VLDB Journal 27(1):53-78, 2018.