Publications

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

1. Junhui Yin, Xinyu Zhang, Zhanyu Ma, Jun Guo, Yinfan Liu, "A Real-time Memory Updating Strategy for Unspervised Person Re-identification", IEEE Transactions on Image Processing (TIP), accepted. code

2. Ruifan Li, Hao Chen, Fangxiang Feng, Zhanyu Ma*, Xiaojie Wang, and Eduard Hovy, "DualGCN: Exploring Syntactic and Semantic Information for Aspect-based Sentiment Analysis", IEEE Transactions on Neural Networks and Learning Systems (TNNLS), accepted. code

3. 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.

4. Xiaoxu Li, Xiaochen Yang, Zhanyu Ma* and Jing-Hao Xue, "Deep Metric Learning for Few-Shot Image Classification: A Review of Recent Developments", Pattern Recognition (PR), vol. 138, 2023.

5. Xiaoxu Li, Yalan Li, Yixiao Zheng, Rui Zhu, Zhanyu Ma*, Jing-Hao Xue, and Jie Cao, "ReNAP: Relation Network with Adaptive Prototypical Learning for Few-Shot Classification", NEUROCOMPUTING, vol. 520, pp. 356-364, 2023. code

6. 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), vol. 44, no. 12, pp. 9521-9535, 2022. code

7. 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), vol. 33, no. 11, pp. 6089-6102, 2022.

8. 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), vol. 44, no. 11, pp. 8230-8248, 2022. (ESI高被引) code

9. Junhui Yin, Zhanyu Ma*, Jiyang Xie, Shibo Nie, Kongming Liang and Jun Guo, "Dual-granularity Feature Alignment for Cross-modality Person Re-identification", NEUROCOMPUTING, vol. 511, pp. 78-90, 2022. code

10. 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

11. 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

12. 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. 4474-4489, 2022. code

13. 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, 2022. code

14. 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, 2022. code

15. 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

16. 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

17. 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, vol. 464, pp. 473-484, 2021. code

18. 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

19. 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, 2021.

20. 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, 2021. code

21. 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.

22. 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, 2021. code

23. 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

24. 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

25. 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

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

27. 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, 2020.

28. 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, 2020. (ESI高被引) code

29. 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, 2020. (ESI高被引)

30. 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

31. 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

32. 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), vol. 68, no. 5, pp. 4192-4203, 2019. (ESI高被引)

33. 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), vol. 68, no. 5, pp. 4204-4212, 2019.

34. 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), vol. 68, no. 4, pp. 3224-3233, 2019. (ESI高被引)

35. Zhanyu Ma*, Yuping Lai, W. Bastiaan Kleijn, Yi-Zhe Song, 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), vol. 30, no. 2, pp. 449-463, 2019. (ESI热点、高被引)

36. 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, vol. 328, pp. 182-188, 2019. (ESI高被引)

37. 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), vol. 68, no. 1, pp. 121-128, 2019. (ESI热点、高被引)

38. 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, pp. 36-42, 2018.

39. 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. 10, pp. 4633-4644, 2018.

40. 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, 2018.

41. 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, 2018.

42. 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, no. 1, pp. 129-143, 2018. (ESI热点、高被引)

43. 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, no. 5, pp. 88-95, 2017.

44. 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), vol. 3, no. 4, pp. 464-479, 2016.

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

46. 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, 2015.

47. 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, 2015.

48. 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), vol. 83, pp. 128-137, 2015.

49. 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, 2015.

50. Zhanyu Ma*, Andrew E. Teschendorff, Arne Leijon, Yuanyuan Qiao, Honggang Zhang, and Jun Guo, "Variational Bayesian Matrix Factorization for Bounded Support Data", IEEE Transactions on Pattern Analysis and Machine Intelligence (TPAMI), vol. 37, no. 4, pp. 876-889, 2015. (北京青年优秀科技论文一等奖，ESI高被引)

51. 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, 2015.

52. 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), vol. 104, pp. 291-295, 2014.

53. Zhanyu Ma*, Pravin K. Rana, Jalil Taghia, Markus Flierl, and Arne Leijon, "Bayesian Estimation of Dirichlet Mixture Model with Variational Inference", Pattern Recognition (PR), vol. 47, no. 9, pp. 3143-3157, 2014.

54. Jalil Taghia*, Zhanyu Ma, and Arne Leijon, "Bayesian Estimation of the von-Mises Fisher Mixture Model with Variational Inference", IEEE Transactions on Pattern Analysis and Machine Intelligence (TPAMI), vol. 36, no. 9, pp. 1701-1715, 2014.

55. 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), vol. 74, pp. 359-374, 2014.

56. 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, 2014.

57. 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, 2013.

58. 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, no. 11, pp. 2160-2173, 2011.

1. Ruoyi Du, Dongliang Chang, Kongming Liang*, Timothy Hospedales, Yi-Zhe Song and Zhanyu Ma, "On-the-fly Category Discovery", in Proceedings of IEEE/CVF Conference on Computer Vision and Pattern Recognitions (CVPR), 2023. code

2. Dongliang Chang, Yujun Tong, Ruoyi Du, Timothy Hospedales, Yi-Zhe Song and Zhanyu Ma*, "An Erudite Fine-Grained Visual Classification Model", in Proceedings of IEEE/CVF Conference on Computer Vision and Pattern Recognitions (CVPR), 2023. code

3. Jiahao Xie, Wei Xu, Dingkang Liang, Zhanyu Ma, Kongming Liang*, Weidong Liu, Rui Wang and Ling Jin, "Super-Resolution Information Enhancement for Crowd Counting", in International Conference on Acoustics, Speech and Signal Processing (ICASSP), 2023. code

4. Zijin Yin, Runpu Wei, Kongming Liang*, Yiyang Lin, Wei Liu, Zhanyu Ma, Min Min*, Jun Guo, "Semantic Memory Guided Image Representation for Polyp Segmentation", in International Conference on Acoustics, Speech and Signal Processing (ICASSP), 2023. code

5. Jijie Wu, Dongliang Chang, Aneeshan Sain, Xiaoxu Li*, Zhanyu Ma, Jie Cao, Jun Guo, and Yi-Zhe Song, "Bi-Directional Feature Reconstruction Network for Fine-grained Few-shot Image Classification", in Proceedings of AAAI Conference on Artificial Intelligence (AAAI), 2023. code

6. 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

7. 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

8. 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

9. 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

10. 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. code

11. 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

12. 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

13. 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

14. 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

15. 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

16. 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

17. 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

18. 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

19. 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

20. 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.

21. 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.

22. 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

23. 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

24. 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

25. 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.

26. 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

27. 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.

28. 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

29. 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

30. 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

31. 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.

32. 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.

33. 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.

34. 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.

35. 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.

36. 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.

37. 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.

38. 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

39. 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.

40. 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.

41. 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.

42. 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.

43. 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.

44. 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.

45. 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.

46. 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.

47. 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.

48. 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.

49. 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.

50. 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.

51. 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.

52. 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.

53. 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.

54. 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.

55. 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.

56. Fangyi Zhu, Xiaoxu Li, Zhanyu Ma*, Guang Chen, Pai Peng, Xiaowei Guo, Jen-Tzung Chien, and Jun Guo, "Image-text Dual Model for Small-sample Image Classication", in Proceedings of Chinese Conference on Computer Vision (CCCV) 2017, Oct. 11-14, 2017.

57. Hong Yu, Zheng-Hua Tan, Zhanyu Ma*, and Jun Guo, "Adversarial Network Bottleneck Features for Noise Robust Speaker Verification", INTERSPEECH, 2017.

58. Peng Xu, Qiyue Yin, Yonggang Qi, Yi-Zhe Song, and, Zhanyu Ma*, Liang Wang, and Jun 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.

59. Peng Xu, Ke Li, Zhanyu Ma*, Yi-Zhe Song, Liang Wang, and Jun 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)

60. Huanyu Zhou, Ni Zhang, Di Huang, Zhanyu Ma*, Weisong Hu, and Jun 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.

61. Ziheng Wang*, Yonggang Qi, Jun Liu, and Zhanyu Ma, "User Intention Understanding From Scratch", IEEE International Workshop on Sensing, Processing and Learning for Intelligent Machines (SPLINE), 6-8 July, 2016.

62. Yanjie Chen, Yuhong Li, Feng Qi, Zhanyu Ma, and Honggang 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.

63. Hong Yu, Achintya Sarkar, Dennis Alexander Lehmann Thomsen, Zheng-Hua Tan, Zhanyu Ma, and Jun 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.

64. Hong Yu*, Zhanyu Ma,Minyue Li, and Jun 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.

65. Zhanyu Ma*, Rainer Martin, Jun Guo, and Honggang 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.

66. Pravin Kumar Rana, Zhanyu Ma, Jalil Taghia, and Markus 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.

67. Jalil Taghia, Zhanyu Ma, and Arne Leijon, "On Von-Mises Fisher Mixture Model in Text-Independent Speaker Identification", in Proceedings of INTERSPEECH, 2013.

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

69. Zhanyu Ma*, Zheng–Hua Tan, and Swati Prasad, "EEG Signal Classification with Super-Dirichlet Mixture Model", in Proceedings of IEEE Statistical Signal Processing Workshop (SSP), pp. 440-443, 2012.

70. Zhanyu Ma* and Arne 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.

71. Zhanyu Ma*, and Arne 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.

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

73. Zhanyu Ma*, and Arne 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.

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

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

76. Zhanyu Ma*, and Arne 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.

77. Zhanyu Ma*, and Arne 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.

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

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

80. Zhanyu Ma*, and Arne 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.