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. Jijie Wu, Dongliang Chang, Aneeshan Sain, Xiaoxu Li*, Zhanyu Ma, Jie Cao, Jun Guo and Yi-Zhe Song, "Bi-Directional Ensemble Feature Reconstruction Network for Few-Shot Fine-Grained Classification", IEEE Transactions on Pattern Analysis and Machine Intelligence (TPAMI), accepted. code

TCSVT

2. Mingcong Lu, Ruifan Li, Fangxiang Feng, Zhanyu Ma and Xiaojie Wang, "LGR-NET: Language Guide Reasoning Network for Referring Expression Comprehension", IEEE Transactions on Circuits and Systems for Video Technology (TCSVT), accepted. code

TIP

3. Yixiao Zheng, Kaiyue Pang, Ayan Das, Dongliang Chang, Yi-Zhe Song and Zhanyu Ma*, "CreativeSeg: Semantic Segmentation of Creative Sketches", IEEE Transactions on Image Processing (TIP), accepted. code

IJCV

4. Kongming Liang*, Zijin Yin, Min Min*, Yan Liu, Zhanyu Ma and Jun Guo, "Learning Dynamic Prototypes for Visual Pattern Debiasing", International Journal of Computer Vision (IJCV), accepted. code

TCSVT

5. Dongliang Chang, Aneeshan Sain, Zhanyu Ma*, Yi-Zhe Song, Ruiping Wang and Jun Guo, "Mind the Gap: Open Set Domain Adaptation via Mutual-to-Separate Framework", IEEE Transactions on Circuits and Systems for Video Technology (TCSVT), accepted. code

TPAMI

6. Ruoyi Du, Dongliang Chang, Zhanyu Ma, Kongming Liang*, Yi-Zhe Song and Jun Guo, "Semi-Supervised Learning for FGVC with Out-of-Category Data", IEEE Transactions on Pattern Analysis and Machine Intelligence (TPAMI), accepted. code

TNNLS

7. 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

TCSVT

8. Xiaoxu Li, Qi Song, Jijie Wu, Rui Zhu*, Zhanyu Ma and Jing-Hao Xue, "Locally-Enriched Cross-Reconstruction for Few-shot Fine-Grained Image Classification", IEEE Transactions on Circuits and Systems for Video Technology (TCSVT), vol. 33, no. 12, pp. 7530-7540, 2023. code

TPAMI

9. Dongliang Chang, Kaiyue Pang, Ruoyi Du, Yujun Tong, Yi-Zhe Song, Zhanyu Ma* and Jun Guo, "Making a Bird AI Expert Work for You and Me", IEEE Transactions on Pattern Analysis and Machine Intelligence (TPAMI), vol. 45, no. 10, pp. 12068-12084, 2023. code

TIP

10. Yixiao Zheng, Jiyang Xie, Aneeshan Sain, Yi-Zhe Song and Zhanyu Ma*, "Sketch-Segformer: Transformer-Based Segmentation for Figurative and Creative Sketches", IEEE Transactions on Image Processing (TIP), vol. 32, pp. 4595-4609, 2023.

TASLP

11. Yiming Zhang, Hong Yu, Ruoyi Du, Zheng-Hua Tan, Wenwu Wang, Zhanyu Ma* and Yuan Dong, "ACTUAL: Audio Captioning with Caption Feature Space Regularization", IEEE/ACM Transactions on Audio, Speech and Language Processing (TASLP), vol. 31, pp. 2643-2657, 2023. code

TIP

12. 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), vol. 32, pp. 2309-2321, 2023. code

TNNLS

13. 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), vol. 34, no. 4, pp. 1823-1837, 2023.

PR

14. 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.

NEUCOM

15. 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

TPAMI

16. 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

TNNLS

17. 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.

TPAMI

18. 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

NEUCOM

19. 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

TPAMI

20. 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

21. 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

22. 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

PR

23. 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

PR

24. 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

TIP

25. 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

26. 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

27. 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

SPL

28. 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

29. 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.

NEUCOM

30. 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

TCSVT

31. 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

32. 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

TCSVT

33. 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

34. 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

35. 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

36. 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.

TCSVT

37. 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.

TCSVT

38. 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

TNNLS

39. 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)

TIP

40. 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

41. 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

42. 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)

TVT

43. 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.

TVT

44. 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)

TNNLS

45. 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)

NEUCOM

46. 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)

TVT

47. 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)

PRL

48. 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.

TNNLS

49. 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.

NEUCOM

50. 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.

NEUCOM

51. 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.

TNNLS

52. 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)

Network

53. 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.

IoT-J

54. 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.

NEUCOM

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

SP

56. 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.

KBS

57. 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.

KBS

58. 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.

NEUCOM

59. 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.

TPAMI

60. 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)

J-STSP

61. 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.

SP

62. 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.

PR

63. 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.

TPAMI

64. 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.

JSPS

65. 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.

TETC

66. 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.

TASLP

67. 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.

TPAMI

68. 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.

会议 (*= 通讯作者)

CVPR

1. Zijin Yin, Kongming Liang*, Bing Li, Zhanyu Ma and Jun Guo, "Benchmarking Segmentation Models with Mask-Preserved Attribute Editing", in Proceedings of IEEE/CVF Conference on Computer Vision and Pattern Recognitions (CVPR), 2024. code

CVPR

2. Yufei Han, Heng Guo*, Koki Fukai, Hiroaki Santo, Boxin Shi, Fumio Okura, Zhanyu Ma and Yunpeng Jia, "NeRSP: Neural 3D Reconstruction for Reflective Objects with Sparse Polarized Images", in Proceedings of IEEE/CVF Conference on Computer Vision and Pattern Recognitions (CVPR), 2024. code

CVPR

3. Ruoyi Du, Dongliang Chang*, Timothy Hospedales, Yi-Zhe Song and Zhanyu Ma, "DemoFusion: Democratising High-Resolution Image Generation With No $$$", in Proceedings of IEEE/CVF Conference on Computer Vision and Pattern Recognitions (CVPR), 2024. code

AAAI

4. Jiayi Gao, Kongming Liang*, Tao Wei, Wei Chen, Zhanyu Ma and Jun Guo, "Dual-prior Augmented Decoding Network for Long Tail Distribution in HOI Detection", in Proceedings of AAAI Conference on Artificial Intelligence (AAAI), 2024. code

PRCV

5. Mandan Guan, Wenqing Yu, Yurong Guo, Keyan Huang, Jiaxun Zhang, Kongming Liang* and Zhanyu Ma, "Focus the Overlapping Problem on Few-Shot Object Detection via Multiple Predictions", in Proceedings of Chinese Conference on Pattern Recognition and Computer Vision (PRCV), 2023.

PRCV

6. Jie Wang, Yixiao Zheng, Ruoyi Du, Yiming Zhanag, Kongming Liang* and Zhanyu Ma, "Plugging Stylized Controls in Open-Stylized Image Captioning", in Proceedings of Chinese Conference on Pattern Recognition and Computer Vision (PRCV), 2023.

PRCV

7. Zihan Yan, Ruoyi Du, Kongming Liang*, Tao Wei, Wei Chen and Zhanyu Ma, "lmage Generation Based lntra-Class Variance Smoothing for Fine-Grained Visual Classification", in Proceedings of Chinese Conference on Pattern Recognition and Computer Vision (PRCV), 2023.

APSIPA

8. Meijiang Fu, Yixiao Zheng, Dongliang Chang*, Wenpan Li and Zhanyu Ma, "Multi-Frequency Feature Enhancement for Multi-Granularity Visual Classification", in Asia Pacific Signal and Information Processing Association (APSIPA), 2023. code

ICIG

9. Ming-Zhe Li, Zhen Jia, Zhang Zhang, Zhanyu Ma* and Liang Wang, "Multi-Semantic Fusion Model for Generalized Zero-Shot Skeletion-Based Action Recognition", in International Conference on Image and Graphics (ICIG), 2023. code

ACM MM

10. Kongming Liang*, Xinran Wang, Haiwen Zhang, Zhanyu Ma and Jun Guo, "Hierarchical Visual Attribute Learning in the Wild", in Proceedings of ACM International Conference on Multimedia (ACM MM), 2023. code

ACM MM

11. Yinuo Jing, Chunyu Wang, Ruxu Zhang, Kongming Liang* and Zhanyu Ma, "Category-Specific Prompts for Animal Action Recognition with Pretrained Vision-Language Models", in Proceedings of ACM International Conference on Multimedia (ACM MM), 2023.

ICCV

12. Ruoyi Du, Wenqing Yu, Heqing Wang, Ting-En Lin, Dongliang Chang* and Zhanyu Ma, "Multi-view Active Fine-grained Visual Recognition", in Proceedings of IEEE/CVF Conference on Computer Vision (ICCV), 2023. code

ICCV

13. Yurong Guo, Ruoyi Du, Yuan Dong, Timothy Hospedales, Yi-Zhe Song and Zhanyu Ma*, "Task-aware Adaptive Learning for Cross-domain Few-shot Learning", in Proceedings of IEEE/CVF Conference on Computer Vision (ICCV), 2023. code

IC-NIDC

14. Kongming Liang, Xinran Wang, Rui Wang, Donghui Gao, Ling Jin, Weidong Liu, Xiatian Zhu, Zhanyu Ma* and Jun Guo, "Vision-Language Assisted Attribute Learning", in Proceedings of IEEE International Conference on Network Intelligence and Digital Content (IC-NIDC), 2023. (Best paper award) code

IC-NIDC

15. Wenqing Yu, Dongliang Chang*, Kongming Liang and Zhanyu Ma, "Bilinear Adversarial Network for Fine-grained Domain Adaptation", in Proceedings of IEEE International Conference on Network Intelligence and Digital Content (IC-NIDC), 2023. code

ICIP

16. Kongming Liang*, Xinran Wang, Tao Wei, Wei Chen, Zhanyu Ma and Jun Guo, "Attribute Learning with Knowledge Enhanced Partial Annotations", in Proceedings of International Conference on Image Processing (ICIP), 2023.

ICIP

17. Yitao Chen, Ruoyi Du, Kongming Liang and Zhanyu Ma*, "Self-Enhanced Training Framework for Referring Expression Grounding", in Proceedings of International Conference on Image Processing (ICIP), 2023.

CVPR

18. 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

CVPR

19. 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

ICASSP

20. 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

ICASSP

21. 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

AAAI

22. 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

MMSP

23. 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

24. 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

25. 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

26. 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

27. 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

ECCV

28. 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

29. 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

30. 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

31. 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

32. 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

33. 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

34. 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

35. 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

36. 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

37. 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

38. 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

39. 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

40. 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

41. 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

42. 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

43. 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

44. 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

45. 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

46. 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

47. 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

48. 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. (Best paper award)

IC-NIDC

49. 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

50. 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

51. 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

52. 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

53. 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

54. 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

55. 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

56. 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

57. 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

58. 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

59. 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

60. 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

61. 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

62. 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

63. 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

64. 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

65. 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

66. 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

67. 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

68. 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

69. 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

70. 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

71. 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

72. 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

73. 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.

INTERS.

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

ECCV

75. 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.

IC-NIDC

76. 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)

IC-NIDC

77. 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.

SPLINE

78. 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.

SPLINE

79. 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.

SPLINE

80. 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.

Asilomar

81. 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.

ICASSP

82. 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.

ICASSP

83. 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.

Inters.

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

EUSIPCO

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

SSP

86. 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.

IC-NIDC

87. 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.

MLSP

88. 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.

Inters.

89. 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.

ICASSP

90. 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.

Inters.

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

Inters.

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

EUSIPCO

93. 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.

IC-NIDC

94. 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.

ICIP

95. 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.

Inters.

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

Asilomar

97. 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.