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2020 – today
- 2023
[j63]You-cai Qin, Qinghua Ren, Qirong Mao
, Jingjing Chen:
Multi-branch feature aggregation based on multiple weighting for speaker verification. Comput. Speech Lang. 77: 101426 (2023)- 2022
- [j62]Honglin Liu, Yongzhao Zhan, Huifen Xia, Qirong Mao, Yixin Tan:
Self-supervised transformer-based pre-training method using latent semantic masking auto-encoder for pest and disease classification. Comput. Electron. Agric. 203: 107448 (2022) - [j61]Heping Song, Zehong Ai, Yuping Lai, Hongying Meng, Qirong Mao:
Sparse signal reconstruction via generalized two-stage thresholding. Sci. China Inf. Sci. 65(3) (2022) - [j60]Luoyang Xue, Ang Xu, Qirong Mao, Lijian Gao, Jie Chen:
Weakly Supervised Sentiment-Specific Region Discovery for VSA. Comput. J. 65(4): 818-830 (2022) - [j59]Sidheswar Routray, Qirong Mao:
Phase sensitive masking-based single channel speech enhancement using conditional generative adversarial network. Comput. Speech Lang. 71: 101270 (2022) - [j58]Qing Zhu, Qirong Mao, Hongjie Jia, Ocquaye Elias Nii Noi, Juanjuan Tu:
Convolutional relation network for facial expression recognition in the wild with few-shot learning. Expert Syst. Appl. 189: 116046 (2022) - [j57]Lei Shu, Joel J. P. C. Rodrigues, Anthony G. Cohn, Qirong Mao, Maozhen Li:
Editor's Note. Int. J. Interact. Multim. Artif. Intell. 7(5): 4 (2022) - [j56]Sidheswar Routray, Qirong Mao:
A context aware-based deep neural network approach for simultaneous speech denoising and dereverberation. Neural Comput. Appl. 34(12): 9831-9845 (2022) - [j55]Ling Zhou, Qirong Mao, Xiaohua Huang, Feifei Zhang, Zhihong Zhang:
Feature refinement: An expression-specific feature learning and fusion method for micro-expression recognition. Pattern Recognit. 122: 108275 (2022) - [j54]Qirong Mao, Ling Zhou, Wenming Zheng, Xiuyan Shao, Xiaohua Huang:
Objective Class-Based Micro-Expression Recognition Under Partial Occlusion Via Region-Inspired Relation Reasoning Network. IEEE Trans. Affect. Comput. 13(4): 1998-2016 (2022) - [c36]Shuang-qing Qian, Lijian Gao, Hongjie Jia, Qirong Mao:
Efficient Monaural Speech Separation with Multiscale Time-Delay Sampling. ICASSP 2022: 6847-6851 - [c35]Zi-Kai Wan, Qinghua Ren, You-cai Qin, Qirong Mao:
Statistical Pyramid Dense Time Delay Neural Network for Speaker Verification. ICASSP 2022: 7532-7536 - [c34]Jigang Ren, Qirong Mao:
DCTCN: Deep Complex Temporal Convolutional Network for Long Time Speech Enhancement. INTERSPEECH 2022: 5478-5482 - [c33]Lijian Gao, Ling Zhou, Qirong Mao, Ming Dong:
Adaptive Hierarchical Pooling for Weakly-supervised Sound Event Detection. ACM Multimedia 2022: 1779-1787 - [c32]Jialin Zhang, Qinghua Ren, You-cai Qin, Zi-Kai Wan, Qirong Mao:
Cross-Scene Speaker Verification Based on Dynamic Convolution for the CNSRC 2022 Challenge. Odyssey 2022: 368-375 - [i5]Zhongchen Ma, Lisha Li, Qirong Mao, Songcan Chen:
Label Structure Preserving Contrastive Embedding for Multi-Label Learning with Missing Labels. CoRR abs/2209.01314 (2022) - 2021
- [j53]Hongjie Jia, Liangjun Wang, Heping Song, Qirong Mao, Shifei Ding:
An efficient Nyström spectral clustering algorithm using incomplete Cholesky decomposition. Expert Syst. Appl. 186: 115813 (2021) - [j52]Ocquaye Elias Nii Noi, Qirong Mao, Yanfei Xue, Heping Song:
Cross lingual speech emotion recognition via triple attentive asymmetric convolutional neural network. Int. J. Intell. Syst. 36(1): 53-71 (2021) - [j51]Qing Zhu, Lijian Gao, Heping Song, Qirong Mao:
Learning to disentangle emotion factors for facial expression recognition in the wild. Int. J. Intell. Syst. 36(6): 2511-2527 (2021) - [j50]Ling Zhou, Xiuyan Shao, Qirong Mao:
A survey of micro-expression recognition. Image Vis. Comput. 105: 104043 (2021) - [j49]Duolin Huang, Qirong Mao, Zhongchen Ma, Zhi-shen Zheng, Sidheswar Routray, Ocquaye Elias Nii Noi:
Latent discriminative representation learning for speaker recognition. Frontiers Inf. Technol. Electron. Eng. 22(5): 697-708 (2021) - [j48]Duolin Huang, Qirong Mao, Zhongchen Ma, Zhi-shen Zheng, Sidheswar Routray, Ocquaye Elias Nii Noi:
Erratum to: Latent discriminative representation learning for speaker recognition. Frontiers Inf. Technol. Electron. Eng. 22(6): 914 (2021) - [j47]Chao Qi, Jianming Zhang, Hongjie Jia, Qirong Mao, Liangjun Wang, Heping Song:
Deep face clustering using residual graph convolutional network. Knowl. Based Syst. 211: 106561 (2021) - [c31]Lijian Gao, Qirong Mao, Jingjing Chen, Ming Dong, Ratna Babu Chinnam, Lucile Sassatelli, Miguel Fabián Romero Rondón, Ujjwal Sharma:
Reproducibility Companion Paper: On Learning Disentangled Representation for Acoustic Event Detection. ACM Multimedia 2021: 3638-3641 - [i4]Ling Zhou, Qirong Mao, Xiaohua Huang, Feifei Zhang, Zhihong Zhang:
Feature refinement: An expression-specific feature learning and fusion method for micro-expression recognition. CoRR abs/2101.04838 (2021) - [i3]Qirong Mao, Ling Zhou, Wenming Zheng, Xiuyan Shao, Xiaohua Huang:
Region attention and graph embedding network for occlusion objective class-based micro-expression recognition. CoRR abs/2107.05904 (2021) - 2020
- [j46]Jie Chen, Qirong Mao, Luoyang Xue:
Visual Sentiment Analysis With Active Learning. IEEE Access 8: 185899-185908 (2020) - [j45]Jianping Gou, Yuanyuan Yang, Zhang Yi, Jiancheng Lv, Qirong Mao, Yongzhao Zhan:
Discriminative globality and locality preserving graph embedding for dimensionality reduction. Expert Syst. Appl. 144: 113079 (2020) - [j44]Lijian Gao, Qirong Mao:
环境辅助的多任务混合声音事件检测方法 (Environment-assisted Multi-task Learning for Polyphonic Acoustic Event Detection). 计算机科学 47(1): 159-164 (2020) - [j43]Luoyang Xue, Qirong Mao, Xiaohua Huang, Jie Chen:
NLWSNet: a weakly supervised network for visual sentiment analysis in mislabeled web images. Frontiers Inf. Technol. Electron. Eng. 21(9): 1321-1333 (2020) - [j42]Jingjing Chen, Qirong Mao, You-cai Qin, Shuang-qing Qian, Zhi-shen Zheng:
Latent source-specific generative factor learning for monaural speech separation using weighted-factor autoencoder. Frontiers Inf. Technol. Electron. Eng. 21(11): 1639-1650 (2020) - [j41]Jianping Gou, Lei Wang, Zhang Yi, Yunhao Yuan, Weihua Ou, Qirong Mao:
Weighted discriminative collaborative competitive representation for robust image classification. Neural Networks 125: 104-120 (2020) - [j40]Feifei Zhang, Tianzhu Zhang, Qirong Mao, Changsheng Xu:
Geometry Guided Pose-Invariant Facial Expression Recognition. IEEE Trans. Image Process. 29: 4445-4460 (2020) - [j39]Feifei Zhang, Tianzhu Zhang, Qirong Mao, Changsheng Xu:
A Unified Deep Model for Joint Facial Expression Recognition, Face Synthesis, and Face Alignment. IEEE Trans. Image Process. 29: 6574-6589 (2020) - [c30]Hang Zhou, Huifen Xia, Yongzhao Zhan, Qirong Mao:
Salient Attention Model and Classes Imbalance Remission for Video Anomaly Analysis with Weak Label. HCC 2020: 126-135 - [c29]Jingjing Chen, Qirong Mao, Dong Liu:
On Synthesis for Supervised Monaural Speech Separation in Time Domain. INTERSPEECH 2020: 2627-2631 - [c28]Jingjing Chen, Qirong Mao, Dong Liu:
Dual-Path Transformer Network: Direct Context-Aware Modeling for End-to-End Monaural Speech Separation. INTERSPEECH 2020: 2642-2646 - [c27]Mengjiao Sheng, Zhongchen Ma, Hongjie Jia, Qirong Mao, Ming Dong:
Face Aging with Conditional Generative Adversarial Network Guided by Ranking-CNN. MIPR 2020: 314-319 - [c26]Feifei Zhang, Mingliang Xu, Qirong Mao, Changsheng Xu:
Joint Attribute Manipulation and Modality Alignment Learning for Composing Text and Image to Image Retrieval. ACM Multimedia 2020: 3367-3376 - [i2]Jingjing Chen, Qirong Mao, Dong Liu:
Dual-Path Transformer Network: Direct Context-Aware Modeling for End-to-End Monaural Speech Separation. CoRR abs/2007.13975 (2020) - [i1]Ling Zhou, Qirong Mao, Ming Dong:
Objective Class-based Micro-Expression Recognition through Simultaneous Action Unit Detection and Feature Aggregation. CoRR abs/2012.13148 (2020)
2010 – 2019
- 2019
- [j38]Qirong Mao, Qing Zhu, Qiyu Rao, Hongjie Jia, Sidian Luo:
Learning Hierarchical Emotion Context for Continuous Dimensional Emotion Recognition From Video Sequences. IEEE Access 7: 62894-62903 (2019) - [j37]Yuhao Tang, Qirong Mao, Hongjie Jia, Heping Song, Yongzhao Zhan:
An Emotion-Embedded Visual Attention Model for Dimensional Emotion Context Learning. IEEE Access 7: 72457-72468 (2019) - [j36]Ocquaye Elias Nii Noi, Qirong Mao, Heping Song, Guopeng Xu, Yanfei Xue:
Dual Exclusive Attentive Transfer for Unsupervised Deep Convolutional Domain Adaptation in Speech Emotion Recognition. IEEE Access 7: 93847-93857 (2019) - [j35]Nelson Ruwa, Qirong Mao, Heping Song, Hongjie Jia, Ming Dong:
Triple attention network for sentimental visual question answering. Comput. Vis. Image Underst. 189 (2019) - [j34]Jianping Gou, Lei Wang, Bing Hou, Jiancheng Lv, Yun-Hao Yuan, Qirong Mao:
Two-phase probabilistic collaborative representation-based classification. Expert Syst. Appl. 133: 9-20 (2019) - [j33]Timothy Apasiba Abeo, Xiangjun Shen, Jianping Gou, Qirong Mao, Bing-Kun Bao, Shuying Li:
Dictionary-induced least squares framework for multi-view dimensionality reduction with multi-manifold embeddings. IET Comput. Vis. 13(2): 97-108 (2019) - [j32]Nelson Ruwa, Qirong Mao, Liangjun Wang, Jianping Gou, Ming Dong:
Mood-aware visual question answering. Neurocomputing 330: 305-316 (2019) - [j31]Jianping Gou, Bing Hou, Weihua Ou, Qirong Mao, Hebiao Yang, Yong Liu:
Several robust extensions of collaborative representation for image classification. Neurocomputing 348: 120-133 (2019) - [j30]Nelson Ruwa, Qirong Mao, Liangjun Wang, Jianping Gou:
Affective question answering on video. Neurocomputing 363: 125-139 (2019) - [j29]Jiamin Fu, Qirong Mao, Juanjuan Tu, Yongzhao Zhan:
Multimodal shared features learning for emotion recognition by enhanced sparse local discriminative canonical correlation analysis. Multim. Syst. 25(5): 451-461 (2019) - [j28]Jianping Gou, Wenmo Qiu, Zhang Yi, Yong Xu, Qirong Mao, Yongzhao Zhan:
A Local Mean Representation-based K-Nearest Neighbor Classifier. ACM Trans. Intell. Syst. Technol. 10(3): 29:1-29:25 (2019) - [j27]Feng Liu, Qirong Mao, Liangjun Wang, Nelson Ruwa, Jianping Gou, Yongzhao Zhan:
An emotion-based responding model for natural language conversation. World Wide Web 22(2): 843-861 (2019) - [c25]Ling Zhou, Qirong Mao, Luoyang Xue:
Dual-Inception Network for Cross-Database Micro-Expression Recognition. FG 2019: 1-5 - [c24]Ling Zhou, Qirong Mao, Luoyang Xue:
Cross-Database Micro-Expression Recognition: A Style Aggregated and Attention Transfer Approach. ICME Workshops 2019: 102-107 - [c23]Jianping Gou, Lei Wang, Zhang Yi, Yun-Hao Yuan, Weihua Ou, Qirong Mao:
Discriminative Group Collaborative Competitive Representation for Visual Classification. ICME 2019: 1474-1479 - [c22]Lijian Gao, Qirong Mao, Ming Dong, Yu Jing, Ratna Babu Chinnam:
On Learning Disentangled Representation for Acoustic Event Detection. ACM Multimedia 2019: 2006-2014 - 2018
- [j26]Jianping Gou, Lei Wang, Zhang Yi, Jiancheng Lv, Qirong Mao, Yun-Hao Yuan:
A New Discriminative Collaborative Neighbor Representation Method for Robust Face Recognition. IEEE Access 6: 74713-74727 (2018) - [j25]Qirong Mao, Feifei Zhang, Liangjun Wang, Sidian Luo, Ming Dong:
Cascaded Multi-level Transformed Dirichlet Process for Multi-pose Facial Expression Recognition. Comput. J. 61(11): 1605-1619 (2018) - [j24]Jianping Gou, Yong Xu, David Zhang, Qirong Mao, Lan Du, Yongzhao Zhan:
Two-phase linear reconstruction measure-based classification for face recognition. Inf. Sci. 433-434: 17-36 (2018) - [j23]Guopeng Xu, Haitang Lu, Feifei Zhang, Qirong Mao:
Affective rating ranking based on face images in arousal-valence dimensional space. Frontiers Inf. Technol. Electron. Eng. 19(6): 783-795 (2018) - [j22]Junqi Liu, Jianping Gou, Yongzhao Zhan, Qirong Mao:
Discriminative self-adapted locality-sensitive sparse representation for video semantic analysis. Multim. Tools Appl. 77(21): 29143-29162 (2018) - [j21]Feifei Zhang, Qirong Mao, Xiangjun Shen, Yongzhao Zhan, Ming Dong:
Spatially Coherent Feature Learning for Pose-Invariant Facial Expression Recognition. ACM Trans. Multim. Comput. Commun. Appl. 14(1s): 27:1-27:19 (2018) - [c21]Ocquaye Elias Nii Noi, Qirong Mao, Guopeng Xu, Yanfei Xue:
Coupled Unsupervised Deep Convolutional Domain Adaptation for Speech Emotion Recognition. BigMM 2018: 1-5 - [c20]Feifei Zhang, Tianzhu Zhang, Qirong Mao, Changsheng Xu:
Joint Pose and Expression Modeling for Facial Expression Recognition. CVPR 2018: 3359-3368 - [c19]Hongjie Jia, Liangjun Wang, Heping Song, Qirong Mao, Shifei Ding:
A K-AP Clustering Algorithm Based on Manifold Similarity Measure. Intelligent Information Processing 2018: 20-29 - [c18]Nelson Ruwa, Qirong Mao, Liangjun Wang, Ming Dong:
Affective Visual Question Answering Network. MIPR 2018: 170-173 - [c17]Feifei Zhang, Tianzhu Zhang, Qirong Mao, Lingyu Duan, Changsheng Xu:
Facial Expression Recognition in the Wild: A Cycle-Consistent Adversarial Attention Transfer Approach. ACM Multimedia 2018: 126-135 - 2017
- [j20]Zhengwei Huang, Wentao Xue, Qirong Mao, Yongzhao Zhan:
Unsupervised domain adaptation for speech emotion recognition using PCANet. Multim. Tools Appl. 76(5): 6785-6799 (2017) - [j19]Qirong Mao, Guopeng Xu, Wentao Xue, Jianping Gou, Yongzhao Zhan:
Learning emotion-discriminative and domain-invariant features for domain adaptation in speech emotion recognition. Speech Commun. 93: 1-10 (2017) - [j18]Qirong Mao, Qiyu Rao, Yongbin Yu, Ming Dong:
Hierarchical Bayesian Theme Models for Multipose Facial Expression Recognition. IEEE Trans. Multim. 19(4): 861-873 (2017) - [c16]Jianping Gou, Wenmo Qiu, Qirong Mao, Yongzhao Zhan, Xiangjun Shen, Yunbo Rao:
A Multi-local Means Based Nearest Neighbor Classifier. ICTAI 2017: 448-452 - 2016
- [j17]Feifei Zhang, Yongbin Yu, Qirong Mao, Jianping Gou, Yongzhao Zhan:
Pose-robust feature learning for facial expression recognition. Frontiers Comput. Sci. 10(5): 832-844 (2016) - [c15]Qirong Mao, Wentao Xue, Qiyu Rao, Feifei Zhang, Yongzhao Zhan:
Domain adaptation for speech emotion recognition by sharing priors between related source and target classes. ICASSP 2016: 2608-2612 - [c14]Feifei Zhang, Qirong Mao, Ming Dong, Yongzhao Zhan:
Multi-pose Facial Expression Recognition Using Transformed Dirichlet Process. ACM Multimedia 2016: 347-351 - [c13]Xiangjun Shen, Qing Chang, Jianping Gou, Qirong Mao, Zheng-Jun Zha, Ke Lu:
Collaborative Q-Learning Based Routing Control in Unstructured P2P Networks. MMM (1) 2016: 910-921 - 2015
- [j16]Yongzhao Zhan, Shan Dai, Qirong Mao, Lu Liu, Wei Sheng:
A Video Semantic Analysis Method Based on Kernel Discriminative Sparse Representation and Weighted KNN. Comput. J. 58(6): 1360-1372 (2015) - [j15]Minchao Wang, Yongzhao Zhan, Jianping Gou, Qirong Mao:
面向视频语义分析的局部敏感的可鉴别稀疏表示 (Locality-sensitive Discriminant Sparse Representation for Video Semantic Analysis). 计算机科学 42(9): 313-319 (2015) - [j14]Qirong Mao, Xinyu Pan, Yongzhao Zhan, Xiangjun Shen:
Using Kinect for real-time emotion recognition via facial expressions. Frontiers Inf. Technol. Electron. Eng. 16(4): 272-282 (2015) - [j13]Zhengwei Huang, Wentao Xue, Qirong Mao:
Speech emotion recognition with unsupervised feature learning. Frontiers Inf. Technol. Electron. Eng. 16(5): 358-366 (2015) - [j12]Yongzhao Zhan, Jiayao Sun, Dejiao Niu, Qirong Mao, Jianping Fan:
A semi-supervised incremental learning method based on adaptive probabilistic hypergraph for video semantic detection. Multim. Tools Appl. 74(15): 5513-5531 (2015) - [c12]Wentao Xue, Zhengwei Huang, Xin Luo, Qirong Mao:
Learning speech emotion features by joint disentangling-discrimination. ACII 2015: 374-379 - [c11]Qiyu Rao, Xing Qu, Qirong Mao, Yongzhao Zhan:
Multi-pose facial expression recognition based on SURF boosting. ACII 2015: 630-635 - [c10]Jianping Gou, Yongzhao Zhan, Xiangjun Shen, Qirong Mao, Liangjun Wang:
Two-Phase Representation Based Classification. PCM (1) 2015: 265-274 - 2014
- [j11]Ebenezer Owusu, Yongzhao Zhan, Qirong Mao:
An SVM-AdaBoost facial expression recognition system. Appl. Intell. 40(3): 536-545 (2014) - [j10]Ebenezer Owusu, Yongzhao Zhan, Qirong Mao:
A neural-AdaBoost based facial expression recognition system. Expert Syst. Appl. 41(7): 3383-3390 (2014) - [j9]Ebenezer Owusu, Yongzhao Zhan, Qirong Mao:
An SVM-AdaBoost-based face detection system. J. Exp. Theor. Artif. Intell. 26(4): 477-491 (2014) - [j8]Qirong Mao, Ming Dong, Zhengwei Huang, Yongzhao Zhan:
Learning Salient Features for Speech Emotion Recognition Using Convolutional Neural Networks. IEEE Trans. Multim. 16(8): 2203-2213 (2014) - [c9]Zhengwei Huang, Ming Dong, Qirong Mao, Yongzhao Zhan:
Speech Emotion Recognition Using CNN. ACM Multimedia 2014: 801-804 - 2013
- [j7]Xiaobo Chen, Jian Yang, Qirong Mao, Fei Han:
Regularized least squares fisher linear discriminant with applications to image recognition. Neurocomputing 122: 521-534 (2013) - [j6]Qirong Mao, Xiao-lei Zhao, Zhengwei Huang, Yongzhao Zhan:
Speaker-independent speech emotion recognition by fusion of functional and accompanying paralanguage features. J. Zhejiang Univ. Sci. C 14(7): 573-582 (2013) - [j5]Keyang Cheng, Qirong Mao, Yongzhao Zhan:
Pedestrian Detection Based on Kernel Discriminative Sparse Representation. Trans. Edutainment 9: 184-195 (2013) - [c8]Shan Dai, Yongzhao Zhan, Qirong Mao, Shanshan Zhang:
A Video Semantic Analysis Method Based on Kernel Discriminative Sparse Representation and Weighted KNN. GreenCom/iThings/CPScom 2013: 879-886 - [c7]Xiaobo Chen, Qirong Mao, Fei Han, Jun Liang:
Improved twin support vector machine using total margin and graph embedding. ICNC 2013: 39-43 - 2010
- [j4]Qirong Mao, Yongzhao Zhan:
A novel hierarchical speech emotion recognition method based on improved DDAGSVM. Comput. Sci. Inf. Syst. 7(1): 211-222 (2010) - [j3]Qirong Mao, Yongzhao Zhan:
Extraction and analysis of the speech emotion features based on multi-fractal spectrum. Int. J. Comput. Appl. Technol. 38(1/2/3): 19-26 (2010) - [j2]Qirong Mao, Xiaojia Wang, Yongzhao Zhan:
Speech Emotion Recognition Method Based on Improved Decision Tree and Layered Feature Selection. Int. J. Humanoid Robotics 7(2): 245-261 (2010) - [c6]Hua Deng, Yongzhao Zhan, Qirong Mao:
Knowledge Preference Based Learning Community Construction and Service Support. Edutainment 2010: 123-134
2000 – 2009
- 2008
- [c5]Yun Liu, Qirong Mao, Yongzhao Zhan:
Application Research of Ontology in E-Learning Environment. CW 2008: 805-808 - 2007
- [c4]Yongzhao Zhan, Liting Xu, Qirong Mao:
Ontology Based Situation Analysis and Encouragement in E-Learning System. Edutainment 2007: 401-410 - 2005
- [c3]Qirong Mao, Yongzhao Zhan, Jinfeng Wang, Zhifeng Xie, Shunlin Song:
The shared knowledge space model in Web-based cooperative learning coalition. CSCWD (2) 2005: 1152-1157 - 2004
- [j1]Yuan Zhou, Guangsheng Li, Yongzhao Zhan, Qirong Mao, Yibin Hou:
DRMR: Dynamic-Ring-Based Multicast Routing Protocol for Ad Hoc Networks. J. Comput. Sci. Technol. 19(6): 909-919 (2004) - [c2]Yuan Zhou, Guangsheng Li, Qirong Mao, Yongzhao Zhan, Yibin Hou:
Design and Simulation of Multicast Routing Protocol for Mobile Internet. APWeb 2004: 887-890 - [c1]Qirong Mao, Yongzhao Zhan, Jinfeng Wang:
Optimistic Locking Concurrency Control Scheme for Collaborative Editing System Based on Relative Position. CSCWD (Selected papers) 2004: 406-416
Coauthor Index