学术论文


博士论文

PhD Thesis

Zhanyu Ma, "Non-Gaussian Statistical Models and Their Applications", KTH-Royal Institute of Technology, Stockholm, Sweden, 2011.

期刊 (*= 通讯作者)

TPAMI

1. Ruoyi Du, Jiyang Xie, Zhanyu Ma*, Dongliang Chang, Yi-Zhe Song, and Jun Guo, "Progressive Learning of Category-Consistent Multi-Granularity Features for Fine-Grained Visual Classification", IEEE Transactions on Pattern Analysis and Machine Intelligence (TPAMI), accepted. code

TPAMI

2. Jiyang Xie, Zhanyu Ma*, Dongliang Chang, Guoqiang Zhang, and Jun Guo, "GPCA: A Probabilistic Framework for Gaussian Process Embedded Channel Attention", IEEE Transactions on Pattern Analysis and Machine Intelligence (TPAMI), accepted. code

TNNLS

3. Zhanyu Ma*, Yuping Lai, Jiyang Xie, Deyu Meng, W. Bastiaan Kleijn, Jun Guo, and Jingyi Yu, "Dirichlet Process Mixture of Generalized Inverted Dirichlet Distributions for Positive Vector Data with Extended Variational Inference",IEEE Transactions on Neural Networks and Learning Systems (TNNLS), accepted.

TNNLS

4. Zhanyu Ma*, Xiaoou Lu, Jiyang Xie, Zhen Yang*, Jing-Hao Xue, Zheng-Hua Tan, Bo Xiao, and Jun Guo, "On the Comparisons of Decorrelation Approaches for non-Gaussian Neutral Vector Variables",IEEE Transactions on Neural Network and Learning Systems (TNNLS), accepted.

NEUCOM

5. Junhui Yin, Zhanyu Ma*, Jiyang Xie, Shibo Nie, Kongming Liang and Jun Guo, "Dual-granularity Feature Alignment for Cross-modality Person Re-identification", NEUROCOMPUTING, accepted. code

TPAMI

6. Jiyang Xie, Zhanyu Ma*, Jianjun Lei, Guoqiang Zhang, Jing-Hao Xue, Zheng-Hua Tan, and Jun Guo, "Advanced Dropout: A Model-free Methodology for Bayesian Dropout Optimization", IEEE Transactions on Pattern Analysis and Machine Intelligence (TPAMI), vol. 44, no. 9, pp. 4605-4625, 2022. code

TIP

7. Yurong Guo, Ruoyi Du, Xiaoxu Li, Jiyang Xie, Zhanyu Ma*, and Yuan Dong, "Learning Calibrated Class Centers for Few-shot Classification by Pair-wise Similarity",IEEE Transactions on Image Processing (TIP), vol. 31, pp. 4543-4555, 2022. code

TIP

8. Jianhua Yang, Yan Huang, Kai Niu, Linjiang Huang, Zhanyu Ma, and Liang Wang*, "Actor and Action Modular Network for Text-based Video Segmentation",IEEE Transactions on Image Processing (TIP), vol. 31, pp. 1447-1461, 2022. code

PR

9. Junhui Yin, Jiyang Xie, Zhanyu Ma*, and Jun Guo, "MPCCL: Multiview Predictive Coding with Contrastive Learning for Person Re-identification",Pattern Recognition (PR), vol. 129, Sept. 2022. code

PR

10. Junhui Yin, Siqing Zhang, Jiyang Xie, Zhanyu Ma*, and Jun Guo, "Unsupervised Person Re-identification via Simultaneous Clustering and Mask Prediction",Pattern Recognition (PR), vol. 126, June, 2022. code

TIP

11. Ce Ge*, Haifeng Sun, Yi-Zhe Song, Zhanyu Ma, and Jianxin Liao, "Exploring Local Detail Perception for Scene Sketch Semantic Segmentation",IEEE Transactions on Image Processing (TIP), vol. 31, pp. 1447-1461, 2022. code

TIP

12. Jiyang Xie, Zhanyu Ma*, Jing-Hao Xue, Guoqiang Zhang, Jian Sun, Yinhe Zheng, and Jun Guo, "DS-UI: Dual-Supervised Mixture of Gaussian Mixture Models for Uncertainty Inference in Image Recognition",IEEE Transactions on Image Processing (TIP), vol. 30, pp. 9208-9219, 2021. code

NEUCOM

13. Ke Zhang, Yurong Guo, Xinsheng Wang, Dongliang Chang, Zhenbing Zhao, Zhanyu Ma*, and Tony X. Han, "Competing Ratio Loss for Discriminative Multi-class Image Classification",NEUROCOMPUTING, Volume 464, pp. 473-484, November 2021. code

SPL

14. Wei Xu, Dingkang Liang, Yixiao Zheng, Jiahao Xie, and Zhanyu Ma*, "Dilated-Scale-Aware Category-Attention ConvNet for Multi-Class Object Counting",IEEE Signal Processing Letters, vol. 28, pp. 1570-1574, 2021. code

NEUCOM

15. Xiaoxu Li, Zhuo Sun, Jing-Hao Xue*, and Zhanyu Ma, "A Concise Review of Recent Few-shot Meta-learning Methods",NEUROCOMPUTING, vol. 456, pp. 463-468, October 2021.

NEUCOM

16. Xiaoxu Li, Dongliang Chang, Zhanyu Ma*, Zheng-Hua Tan, Jing-Hao Xue, Jie Cao, and Jun Guo, "Deep InterBoost Networks for Small-sample Image Classification",NEUROCOMPUTING, vol. 456, pp. 492-503, October 2021. code

TCSVT

17. Peng Xu, Kun Liu, Tao Xiang, Timothy M. Hospedales, Zhanyu Ma*, Jun Guo, and Yi-Zhe Song, "Fine-Grained Instance-Level Sketch-Based Video Retrieval",IEEE Transactions on Circuits and Systems for Video Technology (TCSVT), vol. 31, no. 5, pp. 1995-2007, 2021.

TVT

18. Jiyang Xie,Yixiao Zheng, Ruoyi Du, Weiyu Xiong, Yufei Cao, Zhanyu Ma*, Dongpu Cao, and Jun Guo, "Deep Learning-based Computer Visionfor Surveillance in ITS:Evaluation of State-of-the-art Methods",IEEE Transactions on Vehicular Technology (TVT), vol. 70, no. 4, pp. 3027-3042, April 2021. code

TCSVT

19. Xiaoxu Li, Liyun Yu, Xiaochen Yang, Zhanyu Ma*, Jing-Hao Xue, Jie Cao, and Jun Guo, "ReMarNet: Conjoint Relation and Margin Learning for Small-Sample Image Classification",IEEE Transactions on Circuits and Systems for Video Technology (TCSVT), vol. 31, no. 4, pp. 1569-1579, 2021. code

TIP

20. Yifeng Ding, Zhanyu Ma*, Shaoguo Wen, Jiyang Xie, Dongliang Chang, Zhongwei Si, Ming Wu, and Haibin Ling, "AP-CNN: Weakly Supervised Attention Pyramid Convolutional Neural Network for Fine-Grained Visual Classification",IEEE Transactions on Image Processing (TIP), vol. 30, pp. 2826-2836, 2021. code

TIP

21. Xiaoxu Li, Jijie Wu, Zhuo Sun, Zhanyu Ma*, Jie Cao, and Jing-Hao Xue, "BSNet: Bi-Similarity Network for Few-shot Fine-grained Image Classification",IEEE Transactions on Image Processing (TIP), vol. 30, pp. 1318-1331, 2021. code

PR

22. Xiaoou Lu, Yangqi Qiao, Rui Zhu*, Guijin Wang, Zhanyu Ma, and Jing-Hao Xue, "Generalisations of Stochastic Supervision Models",Pattern Recognition (PR), Vol. 109, January 2021.

TCSVT

23. Jianjun Lei, Yuxin Song, Bo Peng*, Zhanyu Ma, Ling Shao, and Yi-Zhe Song, "Semi-Heterogeneous Three-Way Joint Embedding Network for Sketch-Based Image Retrieval", IEEE Transactions on Circuits and Systems for Video Technology (TCSVT), vol. 30, no. 9, pp. 3226-3237, Sept. 2020.

TCSVT

24. Ke Zhang, Na Liu, Xingfang Yuan, Xinyao Guo, Ce Gao, Zhenbing Zhao, and Zhanyu Ma*, "Fine-Grained Age Estimation in the Wild with Attention LSTM Networks",IEEE Transactions on Circuits and Systems for Video Technology (TCSVT), vol. 30, no. 9, pp. 3140-3152, Sept. 2020. (ESI高被引) code

TNNLS

25. Zhanyu Ma*, Jiyang Xie, Yuping Lai, Jalil Taghia, Jing-Hao Xue, and Jun Guo, "Insights into Multiple/Single Lower Bound Approximation for Extended Variational Inference in Non-Gaussian Structured Data Modeling",IEEE Transactions on Neural Network and Learning Systems (TNNLS), vol. 31, no. 7, pp. 2240-2254, July, 2020. (ESI高被引)

TIP

26. Xiaoxu Li, Dongliang Chang, Zhanyu Ma*, Zheng-Hua Tan, Jing-Hao Xue, Jie Cao, Jingyi Yu, and Jun Guo, "OSLNet: Deep Small-Sample Classification with an Orthogonal Softmax Layer", IEEE Transactions on Image Processing (TIP), vol. 29, pp. 6482-6495, 2020. code

TIP

27. Dongliang Chang, Yifeng Ding, Jiyang Xie, Ayan Kumar Bhunia, Xiaoxu Li, Zhanyu Ma*, Ming Wu, Jun Guo, and Yi-Zhe Song, "The Devil is in the Channels: Mutual-Channel Loss for Fine-Grained Image Classification",IEEE Transactions on Image Processing (TIP), vol. 29, pp. 4683-4695, 2020. (ESI高被引) code

TVT

28. Qi Qi, Jingyu Wang, Zhanyu Ma*, Haifeng Sun, Yufei Cao, Lingxin Zhang, and Jianxin Liao, "Knowledge-Driven Service offloading Decision for Vehicular Edge Computing: A Deep Reinforcement Learning Approach",IEEE Transactions on Vehicular Technology (TVT), Volume 68, Issue 5, Page 4192-4203, May 2019. (ESI高被引)

TVT

29. Xiaoxu Li, Liyun Yu, Dongliang Chang, Zhanyu Ma*, and Jie Cao, "Dual Cross-Entropy Loss for Small-Sample Fine-Grained Vehicle Classification",IEEE Transactions on Vehicular Technology (TVT), Volume 68, Issue 5, Page 4204-4212, May 2019.

TVT

30. Zhanyu Ma, Dongliang Chang, Jiyang Xie, Yifeng Ding, Shaoguo Wen, Xiaoxu Li*, Zhongwei Si, and Jun Guo, "Fine-Grained Vehicle Classification with Channel Max Pooling Modified CNNs",IEEE Transactions on Vehicular Technology (TVT), Volume 68, Issue 4, Page 3224-3233, Apr. 2019. (ESI高被引)

TNNLS

31. Zhanyu Ma*, Yuping Lai, W. Bastiaan Kleijn, Liang Wang, and Jun Guo, "Variational Bayesian Learning for Dirichlet Process Mixture of Inverted Dirichlet Distributions in Non-Gaussian Image Feature Modeling",IEEE Transactions on Neural Network and Learning Systems (TNNLS), Volume 30, Issue 2, Page 449-463, February 2019. (ESI热点、高被引)

NEUCOM

32. Fangyi Zhu, Zhanyu Ma*, Xiaoxu Li, Guang Chen, Jen-Tzung Chien, Jing-Hao Xue, and Jun Guo, “Image-text dual neural network with decision strategy for small-sample image classification”,NEUROCOMPUTING,  Volume 328, Pages 182-188, February 2019. (ESI高被引)

TVT

33. Zhanyu Ma, Hong Yu*, Wei Chen, and Juo Guo, "Short Utterance based Speech Language Identification in Intelligent Vehicles with Time-scale Modifications and Deep Bottleneck Features",IEEE Transactions on Vehicular Technology (TVT), Volume 68, Issue 1, Page 121-128, Janurary 2019. (ESI热点、高被引)

PRL

34. Rui Zhu, Ziyu Wang, Zhanyu Ma, Guijin Wang, and Jing-Hao Xue, "LRID: A new metric of multi-class imbalance degree based on likelihood-ratio test",Pattern Recognition Letters (PRL), Vol. 116, Pages 36-42, December 2018.

TNNLS

35. Hong Yu, Zheng-Hua Tan, Zhanyu Ma*, Rainer Martin, and Jun Guo, "Spoofing Detection in Automatic Speaker Verification Systems Using DNN Classifiers and Dynamic Acoustic Features",IEEE Transactions on Neural Networks and Learning Systems (TNNLS), Vol. 29, No. 40, pp. 4633-4644, October 2018.

NEUCOM

36. Xiaoxu Li*, Zhanyu Ma*, Pai Peng, Xiaowei Guo, Feiyue Huang, Xiaojie Wang, and Jun Guo, "Supervised latent Dirichlet allocation with a mixture of sparse softmax",NEUROCOMPUTING, Vol. 312, pp. 324-335, Oct. 2018.

NEUCOM

37. Peng Xu, Qiyue Yin, Yongye Huang, Yi-Zhe Song, Zhanyu Ma*, Liang Wang, Tao Xiang, W. Bastiaan Kleijn, Jun Guo, "Cross-modal Subspace Learning for Fine-grained Sketch-based Image Retrieval",NEUROCOMPUTING, Vol.278, pp.75-86, Feb. 2018.

TNNLS

38. Zhanyu Ma*, Jing-Hao Xue, Arne Leijon, Zheng-Hua Tan, Zhen Yang, and Jun Guo, "Decorrelation of Neutral Vector Variables: Theory and Applications",IEEE Transactions on Neural Networks and Learning Systems (TNNLS), Vol. 29, Issue 1, pp. 129-143, Jan. (ESI热点、高被引)

Network

39. Zhanyu Ma, Jiyang Xie, Hailong Li*, Qie Sun*, Zhongwei Si, Jianhua Zhang, and Jun Guo, "The Role of Data Analysis in the Development of Intelligent Energy Networks",IEEE Network, Vol. 31, Issue 5, pp. 88 - 95, 2017.

IoT-J

40. Qie Sun, Hailong Li*, Zhanyu Ma*, Chao Wang, Javier Campillo, Fredrik Wallin, and Jun Guo, "A Comprehensive Review of Smart Energy Meters in Intelligent Energy Networks", IEEE Internet of Things Journal (IoT-J), Volume 3, Issue 4, pp. 464-479, Aug. 2016.

NEUCOM

41. Zhanyu Ma*, Zheng-Hua Tan, and Jun Guo, "Feature Selection for Neutral Vector in EEG Signal Classification", NEUROCOMPUTING, vol. 174, pp. 937-945, Jan. 2016.

SP

42. Zhanyu Ma*, Jalil Taghia, W. Bastiaan Kleijn, Arne Leijon, and Jun Guo, "Line Spectral Frequencies Modeling by a Mixture of Von Mises-Fisher Distributions", Signal Processing (SP), vol. 114, 219-224, Sep. 2015.

KBS

43. Chunyun Zhang, Yichang Zhang, Weiran Xu*, Zhanyu Ma, Yan Leng, and Jun Guo, "Mining activation force defined dependency patterns for relation extraction", Knowledge-Based Systems(KBS), vol. 86, pp. 278–287, Sep. 2015.

KBS

44. Chunyun Zhang*, Weiran Xu, Zhanyu Ma, Sheng Gao, Qun Li, and Jun Guo, "Construction of Semantic Bootstrapping Models for Relation Extraction", Knowledge-Based Systems(KBS), 83, 128-137, July 2015.

NEUCOM

45. Kaili Zhao*, Honggang Zhang, Zhanyu Ma, Yi-Zhe Song, Jun Guo, "Multi-label learning with prior knowledge for facial expression analysis", Neurocomputing, vol 157, pp. 280-289, June 2015.

TPAMI

46. Zhanyu Ma*, Andrew E. Teschendorff, Arne Leijon, Yuanyuan Qiao, Honggang Zhang, and Jun Guo, "Variational Bayesian Matrix Factorization for Bounded Support Data", IEEE Trans. on Pattern Analysis and Machine Intelligence (TPAMI), Volume 37, Issue 4, pp. 876 - 889, Apr. 2015. (北京青年优秀科技论文一等奖,ESI高被引)

J-STSP

47. Pravin K. Rana*, Jalil Taghia, Zhanyu Ma, and Markus Flierl, "Probabilistic Multiview Depth Image Enhancement Using Variational Inference", IEEE Journal of Selected Topics in Signal Processing (J-STSP), Vol. 9, No. 3, pp. 435 - 448, April 2015.

SP

48. Zhanyu Ma*, Saikat Chatterjee, W. Bastiaan Kleijn, and Jun Guo, "Dirichlet Mixture Modeling to Estimate an Empirical Lower Bound for LSF Quantization", Signal Processing (SP), Volume 104, pp. 291-295, November 2014.

PR

49. Zhanyu Ma*, Pravin K. Rana, Jalil Taghia, Markus Flierl, and Arne Leijon, "Bayesian Estimation of Dirichlet Mixture Model with Variational Inference", Pattern Recognition (PR), Volume 47, Issue 9, pp. 3143-3157, September 2014.

TPAMI

50. Jalil Taghia*, Zhanyu Ma, and Arne Leijon, "Bayesian Estimation of the von-Mises Fisher Mixture Model with Variational Inference", IEEE Trans. on Pattern Analysis and Machine Intelligence (TPAMI), Volume:36, Issue9, pp. 1701-1715, September, 2014.

JSPS

51. Zhanyu Ma*, Arne Leijon, Zheng-Hua Tan, and Sheng Gao, "Predictive Distribution of the Dirichlet Mixture Model by Local Variational Inference", Journal of Signal Processing System (JSPS), Volume 74, Issue 3, pp.359-374, 2014.

TETC

52. Sheng Gao, Hao Luo, Da Chen, Shantao Li, Patrick. Gallinari, Zhanyu Ma, Jun Guo, "A Cross-Domain Recommendation Model for Cyber-Physical Systems", IEEE Transactions on Emerging Topics in Computing (TETC), vol. 1, no. 2, pp. 384-393, Dec. 2014.

TASLP

53. Zhanyu Ma*, Arne Leijon, and W. Bastiaan Kleijn, "Vector Quantization of LSF Parameters with a Mixture of Dirichlet Distributions", IEEE Trans. on Audio, Speech, and Language Processing (TASLP), vol.21, no.9, pp.1777-1790, Sept. 2013.

TPAMI

54. Zhanyu Ma* and Arne Leijon, "Bayesian Estimation of Beta Mixture Models with Variational Inference", IEEE Trans. on Pattern Analysis and Machine Intelligence (TPAMI), Vol. 33, pp. 2160 - 2173, Nov. 2011.

会议 (*= 通讯作者)

MMSP

1. Yitao Chen, Shibo Nie, Mandan Guan, Jie Wang, Ruoyi Du, Dongliang Chang, Kongming Liang, and Zhanyu Ma*, "Multi-modal Human-machine Conversation System for Real Physical World", in International Workshop on Multimedia Signal Processing (MMSP), 2022. (Demo Paper) demo

MMSP

2. Dongliang Chang, Junhan Chen, Xinran Wang, Ruoyi Du, Wenqing Yu, Yufan Liu, Yujun Tong, Kongming Liang, Yi-Zhe Song and Zhanyu Ma*, "Complex Scenario-Oriented Fine-Grained Visual Classification Platform", in International Workshop on Multimedia Signal Processing (MMSP), 2022. (Demo Paper) demo

VCIP

3. Yixiao Zheng, Jiyang Xie, Aneeshan Sain, Zhanyu Ma*, Yi-Zhe Song, Jun Guo, "ENDE-GNN: An Encoder-decoder GNN Framework for Sketch Semantic Segmentation", in IEEE International Conference on Visual Communications and Image Processing (VCIP), 2022. code

VCIP

4. Junhan Chen, Dongliang Chang, Ruoyi Du, Jiyang Xie and Zhanyu Ma*, "Cross-Layer Feature based Multi-Granularity Visual Classification", in IEEE International Conference on Visual Communications and Image Processing (VCIP), 2022. code

CAAI

5. Xiangxuan Shan, Zijin Yin, Jiayi Gao, Kongming Liang*, Zhanyu Ma, and Jun Guo, "Unsupervised Domain Adaptation for Semantic Segmentation with Global and Local Consistency", CAAI International Conference on Artificial Intelligence 2022, accepted.

ECCV

6. Tian Zhang, Kongming Liang*, Ruoyi Du, Xian Sun, Zhanyu Ma, and Jun Guo, "Learning Invariant Visual Representations for Compositional Zero-Shot Learning", in Proceedings of European Conference on Computer Vision (ECCV), 2022. code

ECCV

7. Jiyang Xie, Xiu Su, Shan You, Zhanyu Ma*, Fei Wang, and Chen Qian, "ScaleNet: Searching for the Model to Scale", in Proceedings of European Conference on Computer Vision (ECCV), 2022. code

ACM MM

8. Jingye Wang, Ruoyi Du, Dongliang Chang, Kongming Liang*, and Zhanyu Ma, "Domain Generalization via Frequency-domain-based Feature Disentanglement and Interaction", in Proceedings of ACM International Conference on Multimedia (ACM MM), 2022. code

ICIP

9. Wenqing Zheng, Jiyang Xie, Xian Sun, Zhanyu Ma*, "Structured DropConnect for Uncertainty Inference in Image Classification", in Proceedings of International Conference on Image Processing (ICIP), 2022. code

ICME

10. Yun Liu, Yihui Shi, Fangxiang Feng, Ruifan Li*, Zhanyu Ma, and Xiaojie Wang, "Improving Image Paragraph Captioning with Dual Relations", in Proceedings of IEEE International Conference on Multimedia and Expo (ICME), 2022. code

ISBI

11. Zijin Yin, Kongming Liang*, Zhanyu Ma, and Jun Guo, "Duplex Contextual Relation Network for Polyp Segmentation", in Proceedings of IEEE International Symposium on Biomedical Imaging (ISBI), 2022. code

BMVC

12. Yifeng Ding, Shuwei Dong, Yujun Tong, Zhanyu Ma, Bo Xiao*, and Haibin Ling, "Channel DropBlock: An Improved Regularization Method for Fine-Grained Visual Classification", in Proceedings of British Machine Vision Conference (BMVC), 2021. code

MM Asia

13. Yihui Shi, Yun Liu, Fangxiang Feng, Ruifan Li*, Zhanyu Ma, and Xiaojie Wang, "S2TD: A Tree-Structured Decoder for Image Paragraph Captioning", in Proceedings of ACM Multimedia Asia Conference, 2021. code

MM Asia

14. Chenyu Guo, Jiyang Xie, Kongming Liang, Xian Sun, and Zhanyu Ma*, "Cross-layer Navigation Convolutional Neural Network for Fine-grained Visual Classification", in Proceedings of ACM Multimedia Asia Conference, 2021. code

APSIPA

15. Yazhou Li, Yihui Shi, Yun Liu, Ruifan Li, and Zhanyu Ma, "Image Captioning Based on An Improved Transformer with IoU Position Encoding", in Proceedings of Asia Pacific Signal and Information Processing Association (APSIPA), 2021.

APSIPA

16. Zeyuan Wang, Zhiyu Wei, Lihui Zhang, Ruifan Li, and Zhanyu Ma, "Entailment Method Based on Template Selection for Chinese Text Few-Shot Learning", in Proceedings of Asia Pacific Signal and Information Processing Association (APSIPA), 2021.

VCIP

17. Tian Zhang, Dongliang Chang, Zhanyu Ma*, and Jun Guo, "Progressive Co-attention Network for Fine-grained Visual Classification", in Proceedings of IEEE International Conference on Visual Communications and Image Processing (VCIP), 2021. code

VCIP

18. Yurong Guo, Zhanyu Ma*, Xiaoxu Li, and Yuan Dong, "TLRM: Task-level Relation Module for GNN-based Few-Shot Learning", in Proceedings of IEEE International Conference on Visual Communications and Image Processing (VCIP), 2021. code

MLSP

19. Shuai Xu, Dongliang Chang, Jiyang Xie, and Zhanyu Ma*, "Grad-Cam Guided Channel-Spatial Attention Module for Fine-Grained Visual Classification", in Proceedings of IEEE International Workshop on Machine Learning for Signal Processing (MLSP), 2021. code

PRCV

20. Haoyu Wang, Dongliang Chang, Weidong Liu, Bo Xiao*, Zhanyu Ma, Jun Guo, and Yaning Chang, "Exploring Category-shared and Category-specific Features for Fine-Grained Image Classification", in Proceedings of Chinese Conference on Pattern Recognition and Computer Vision (PRCV), 2021.

ICIP

21. Jianhua Yang, Yan Huang, Zhanyu Ma, and Liang Wang, "CMF: Cascaded Multi-Model Fusion for Referring Image Segmentation", in Proceedings of IEEE International Conference on Image Processing (ICIP), 2021. code

ICIP

22. Wenyu Sun, Jiyang Xie, Jiayan Qiu, and Zhanyu Ma*, "Part Uncertainty Estimation Convolutional Neural Network for Person Re-Identification", in Proceedings of IEEE International Conference on Image Processing (ICIP), 2021.

ACL

23. Ruifan Li*, Hao Chen, Fangxiang Feng, Zhanyu Ma, Xiaojie Wang, and Eduard Hovy, "Dual Graph Convolutional Networks for Aspect-based Sentiment Analysis", in Proceedings of ACL-IJCNLP, 2021. code

CVPR

24. Dongliang Chang, Kaiyue Pang, Yixiao Zheng, Zhanyu Ma*, Yi-Zhe Song, and Jun Guo, "Your “Flamingo” is My “Bird”: Fine-Grained, or Not", in Proceedings of IEEE/CVF Conference on Computer Vision and Pattern Recognitions (CVPR), Oral, 2021. code

ICME

25. Siqing Zhang, Ruoyi Du, Dongliang Chang, Zhanyu Ma*, Jun Guo, "Knowledge Transfer Based Fine-Grained Visual Classification", in Proceedings of IEEE International Conference on Multimedia and Expo (ICME), 2021. code

IC-NIDC

26. Zhou Ming, Zhen Yang*, Haiyang Yu, Yingxu Lai, and Zhanyu Ma, "Privacy-Preserving Verifiable Collaborative Learning with Chain Aggregation", in Proceedings of IEEE International Conference on Network Intelligence and Digital Content (IC-NIDC), 2020.

IC-NIDC

27. Jingye Wang, Yixiao Zheng, Weiyu Xiong, Junhan Chen, Zhanyu Ma*, and Rongliang Ma, "A Probabilistic Expression System for Fingerprint Identification Findings Based on Stability", in Proceedings of IEEE International Conference on Network Intelligence and Digital Content (IC-NIDC), 2020.

IC-NIDC

28. Weiyu Xiong, Zhanyu Ma*, and Yi-Zhe Song, "Robust Augmentations for Small Object Detection of Aerial Images", in Proceedings of IEEE International Conference on Network Intelligence and Digital Content (IC-NIDC), 2020.

APSIPA

29. Yiming Zhang, Hong Yu, and Zhanyu Ma, "Speaker Verification System Based on Deformable CNN and Time-Frequency Attention", in Proceedings of Asia Pacific Signal and Information Processing Association (APSIPA), 2020.

APSIPA

30. Xiaoxu Li, Tao Tian, Yuxin Liu, Hong Yu*, Jie Cao, and Zhanyu Ma*, "Adaptive Multi-prototype Relation Network", in Proceedings of Asia Pacific Signal and Information Processing Association (APSIPA), 2020.

APSIPA

31. Xiaoxu Li, Jintao Yan, Jijie Wu, Yuxin Liu, Xiaochen Yang*, and Zhanyu Ma*, "Anti-Noise Relation Network for Few-shot learning", in Proceedings of Asia Pacific Signal and Information Processing Association (APSIPA), 2020.

PRCV

32. Jianhua Yang, Yan Huang, Linjiang Huang, Yunbo Wang, Zhanyu Ma, and Liang Wang, "Global Context Enhanced Multi-modal Fusion for Referring Image Segmentation", in Proceedings of Chinese Conference on Pattern Recognition and Computer Vision (PRCV), 2020.

ECCV

33. Ruoyi Du, Dongliang Chang, Ayan Kumar Bhunia, Jiyang Xie, Zhanyu Ma*, Yi-Zhe Song, and Jun Guo, "Fine-Grained Visual Classification via Progressive Multi-Granularity Training of Jigsaw Patches", in Proceedings of European Conference on Computer Vision (ECCV), 2020. code

ECCV

34. Tianyi Wu, Yu Lu, Yu Zhu, Chuang Zhang*, Ming Wu, Zhanyu Ma, and Guodong Guo, "GINet: Graph Interaction Network for Scene Parsing", in Proceedings of European Conference on Computer Vision (ECCV), 2020.

ICPR

35. Junhui Yin, Siqing Zhang, Dongliang Chang, Zhanyu Ma*, and Jun Guo, "Dual-attention Guided Dropblock Module for Weakly Supervised Object Localization", in Proceedings of International Conference on Pattern Recognition (ICPR), 2020.

ICPR

36. Zeyu Song, Dongliang Chang, Zhanyu Ma*, Xiaoxu Li, and Zheng-Hua Tan, "CC-Loss: Channel Correlation Loss For Image Classification", in Proceedings of International Conference on Pattern Recognition (ICPR), 2020.

ICME

37. Yixiao Zheng, Dongliang Chang, Jiyang Xie, and Zhanyu Ma*, "IU-Module: Intersection and Union Module for Fine-Grained Visual Classification", in Proceedings of IEEE International Conference on Multimedia and Expo (ICME), 2020.

VCIP

38. Xinran Wei, Dongliang Chang, Jiyang Xie, Yixiao Zheng, Chen Gong, and Zhanyu Ma*, "FICAL: Focal Inter-Class Angular Loss for Image Classification", in Proceedings of IEEE International Conference on Visual Communications and Image Processing (VCIP), 2019.

VCIP

39. Ke Zhang, Xinsheng Wang, Yurong Guo, Zhenbing Zhao, and Zhanyu Ma, "Competing Ratio Loss for Multi-class image Classification", in Proceedings of IEEE International Conference on Visual Communications and Image Processing (VCIP), 2019.

APSIPA

40. Xiaoxu Li, Liyun Yu, Dongliang Chang, Zhanyu Ma*, and Jie Cao, "Small-Sample Image Classification Method of Combining Prototype and Margin Learning", in Proceedings of Asia Pacific Signal and Information Processing Association (APSIPA), 2019.

APSIPA

41. Xiaoxu Li, Jijie Wu, Dongliang Chang, Zhanyu Ma*, and Jie Cao, "Mixed Attention Mechanism for Small-Sample Fine-grained Image Classification", in Proceedings of Asia Pacific Signal and Information Processing Association (APSIPA), 2019.

APSIPA

42. Jie Cao, Yaofeng Zhou, Hong Yu, Xiaoxu Li*, and Zhanyu Ma, "A Loss With Mixed Penalty for Speech Enhancement Generative Adversarial Network", in Proceedings of Asia Pacific Signal and Information Processing Association(APSIPA), 2019.

APSIPA

43. Jie Cao, Yinping Qiu, Dongliang Chang, Xiaoxu Li*, and Zhanyu Ma, "Dynamic Attention Loss for Small-Sample Image Classification", in Proceedings of Asia Pacific Signal and Information Processing Association(APSIPA), 2019.

MLSP

44. Jiyang Xie, Zhanyu Ma*, Guoqiang Zhang, Jing-Hao Xue, Zheng-Hua Tan, and Jun Guo, "Soft Dropout and Its Variational Bayes Approximation", in Proceedings of IEEE International Workshop on Machine Learning for Signal Processing (MLSP), 2019.

ICIP

45. Ke Zhang, Yurong Guo, Xinsheng Wang, Jinsha Yuan, Zhanyu Ma, and Zhenbing Zhao, "Channel-wise and Feature-Points Reweights DenseNet For Image Classification", in Proceedings of IEEE International Conference on Image Processing (ICIP), 2019.

ICIP

46. Yao Xie, Peng Xu, and Zhanyu Ma*, "Deep Zero-Shot Learning for Scene Sketch", in Proceedings of IEEE International Conference on Image Processing (ICIP), 2019.

MLSP

47. Jiyang Xie, Zhanyu Ma*, Guoqiang Zhang, Jing-Hao Xue, Jen-Tzung Chien, Zhiqing Lin, and Jun Guo, "BALSON: BAYESIAN LEAST SQUARES OPTIMIZATION WITH NONNEGATIVE L1-NORM CONSTRAINT", in Proceedings of IEEE International Workshop on Machine Learning for Signal Processing (MLSP), 2018.

IC-NIDC

48. Hong Yu, Tianrui Hu, Zhanyu Ma*, Zheng-Hua Tan, and Jun Guo, "Multi-Task Adversarial Network Bottleneck Features for Noise-Robust Speaker Verification", in Proceedings of IEEE International Conference on Network Infrastructure and Digital Content (IC-NIDC), 2018.

IC-NIDC

49. Xinran Wei, Jiyang Xie, Wenrui He, Min Min, Zhanyu Ma*, and Jun Guo, "Quantitative Comparisons of Linked Color Imaging and White-Light Colonoscopy for Colorectal Polyp Analysis", in Proceedings of IEEE International Conference on Network Infrastructure and Digital Content (IC-NIDC), 2018.

CVPR

50. Peng Xu, Yongye Huang, Tongtong Yuan, Kaiyue Pang, Yi-Zhe Song, Tao Xiang, Timothy M. Hospedales, Zhanyu Ma*, and Jun Guo, "SketchMate: Deep Hashing for Million-Scale Human Sketch Retrieval", in Proceedings of IEEE/CVF Conference on Computer Vision and Pattern Recognitions (CVPR), 2018.

CCCV

51. F. Zhu, X. Li, Z. Ma*, G. Chen, P. Peng, X. Guo, J.-T. Chien, and J. Guo, "Image-text Dual Model for Small-sample Image Classication", in Proceedings of Chinese Conference on Computer Vision (CCCV) 2017, Oct. 11-14, 2017.

INTERS.

52. H. Yu, Z.-H. Tan, Z. Ma*, J. Guo, "Adversarial Network Bottleneck Features for Noise Robust Speaker Verification", INTERSPEECH, 2017.

ECCV

53. P. Xu, Q. Yin, Y. Qi, Y.-Z. Song, and, Z. Ma*, L. Wang, J. Guo, "Instance-level Coupled Subspace Learning for Fine-grained Sketch-based Image Retrieval", in Proceedings of European Conference on Computer Vision Workshop, Oct. 8-16, 2016.

IC-NIDC

54. P. Xu, K. Li, Z. Ma*, Y.-Z. Song, L. Wang, J. Guo, "Cross-modal Subspace Learning for Sketch-based Image Retrieval: A Comparative Study", in Proceedings of IEEE International Conference on Network Infrastructure and Digital Content (IC-NIDC), Sept. 23-25, 2016. (Best paper award)

IC-NIDC

55. H. Zhou, N. Zhang, D. Huang, Z. Ma*, W. Hu, and J. Guo, "Activation Force-based Air Pollution Tracing", in Proceedings of IEEE International Conference on Network Infrastructure and Digital Content (IC-NIDC), Sept. 23-25, 2016.

SPLINE

56. Z. Wang*, Y. Qi, J. Liu, and, Z. Ma, "User Intention Understanding From Scratch", IEEE International Workshop on Sensing, Processing and Learning for Intelligent Machines (SPLINE), 6-8 July, 2016.

SPLINE

57. Y. Chen, Y. Li, F. Qi, Z. Ma, H. Zhang, "Cycled Merging Registration of Point Clouds for 3D Human Body Modeling", IEEE International Workshop on Sensing, Processing and Learning for Intelligent Machines (SPLINE), 6-8 July, 2016.

SPLINE

58. H. Yu, A. Sarkar, D. A. L. Thomsen, Z.-H. Tan , Z. Ma, and J. Guo, "Effect of Multi-condition Training and Speech Enhancement Methods on Spoofing Detection", IEEE International Workshop on Sensing, Processing and Learning for Intelligent Machines (SPLINE), 6-8 July, 2016.

Asilomar

59. H. Yu*, Z. Ma,M. Li, and J. Guo, "Histogram Transform Model Uding MFCC Features for Text-independent Speaker Identification", in Proceedings of IEEE Asilomar Conference on Signals, Systems, and Computers (Asilomar SS&C), November 2014.

ICASSP

60. Z. Ma*, R. Martin, J. Guo, and H. Zhang, "Nonlinear estimation of missing ΔLSF parameters by a mixture of Dirichlet distributions", in Proceedings of International Conference on Acoustics, Speech, and Signal Processing (ICASSP), 2014.

ICASSP

61. P. K. Rana, Z. Ma, J. Taghia, and M. Flierl, "Multiview Depth Map Enhancement by Variational Bayes Inference Estimation of Dirichlet Mixture Models", in Proceedings of IEEE International Conference on Acoustics, Speech, and Signal Processing (ICASSP), pp. 1528–1532, May 2013.

Inters.

62. J.Taghia, Z. Ma, and A. Leijon, "On Von-Mises Fisher Mixture Model in Text-Independent Speaker Identification", in Proceedings of INTERSPEECH, 2013.

EUSIPCO

63. Z. Ma*, "Bayesian Estimation of the Dirichlet Distribution with Expectation Propagation", in Proceedings of European Signal Processing Conference (EUSIPCO), pp. 689-693, 2012.

SSP

64. Z. Ma*, Z. –H. Tan, and S. Prasad, "EEG Signal Classification with Super-Dirichlet Mixture Model", in Proceedings of IEEE Statistical Signal Processing Workshop (SSP), pp. 440-443, 2012.

IC-NIDC

65. Z. Ma* and A. Leijon, "A Model-based Collaborative Filtering Method for Bounded Support Data", in proceedings of IEEE International Conference on Network Infrastructure and Digital Content (IC-NIDC), 2012.

MLSP

66. Z. Ma*, and A. Leijon, "Approximating the Predictive Distribution of the Beta Distribution with the Local Variational Method", in Proceedings of IEEE International Workshop on Machine Learning for Signal Processing (MLSP), pp. 1-6, 2011.

Inters.

67. Z. Ma*, and A. Leijon, "Super-Dirichlet Mixture Models using Differential Line Spectral Frequencies for Text-Independent Speaker Identification", in Proceedings of INTERSPEECH, pp. 2349-2352, 2011.

ICASSP

68. Z. Ma*, and A. Leijon, “Expectation Propagation for Estimating the Parameters of the Beta Distribution”, in Proceedings of IEEE International Conference on Acoustics, Speech, and Signal Processing (ICASSP), pp. 2082-2085, 2010.

Inters.

69. Z. Ma*, and A. Leijon, “Modeling Speech Line Spectral Frequencies with Dirichlet Mixture Models”, in Proceedings of INTERSPEECH, pp. 2370-2373, 2010.

Inters.

70. Z. Ma*, and A. Leijon, “PDF-optimized LSF Vector Quantization Based on Beta Mixture Models”, in Proceedings of INTERSPEECH, pp. 2374-2377, 2010.

EUSIPCO

71. Z. Ma*, and A. Leijon,“Human Skin Color Detection in RGB Space with Bayesian Estimation of Beta Mixture Models”, in Proceedings of European Signal Processing Conference (EUSIPCO), pp. 1204-1208, 2010.

IC-NIDC

72. Z. Ma*, and A. Leijon,“Coding Bounded Support Data with Beta Distribution”, in Proceedings of IEEE International Conference on Network Infrastructure and Digital Content (IC-NIDC), pp. 246-250, 2010.

ICIP

73. Z. Ma*, and A. Leijon, “Beta Mixture Models and the Application to Image Classification”, in Proceedings of IEEE International Conference on Image Processing (ICIP), pp. 2045-2048, 2009.

Inters.

74. Z. Ma*, and A. Leijon, “Human Audio-Visual Consonant Recognition Analyzed with Three Bimodal Integration Models”, in Proceedings of INTERSPEECH, pp. 812-815, 2009.

Asilomar

75. Z. Ma*, and A. Leijon, "“A Probabilistic Principal Component Analysis Based Hidden Markov Model for Audio-Visual Speech Recognition”, in Proceedings of IEEE Asilomar Conference on Signals, Systems, and Computers (Asilomar SS&C), pp. 2170-2173, 2008.