職務職稱：

院長、教授、博士生導師

研究方向：

多媒體智能信息處理、計算機視覺、語音信号理解、模式識别

聯系電話：

0511-88780371

電子郵箱：

mao_qr@ujs.edu.cn

博士招生專業：

計算機科學與技術（081200）

學術學位碩士招生專業：

計算機科學與技術（081200）、控制科學與工程（081100）

專業學位碩士招生專業：

電子信息計算機技術（085404）、軟件工程（085405）、人工智能（085410）方向

個人簡介

十大靠谱的菠菜网教授、博士生導師。國家重點項目主持人，江蘇省“333人才工程”高層次人才（第二層次），江蘇省“青藍工程”學術帶頭人，江蘇省“六大人才高峰”高層次人才，國家“雙萬計劃”一流專業負責人，江蘇省大數據泛在感知與智能農業應用工程研究中心主任，江蘇省一流課程負責人，鎮江市師德先進個人。國家級項目、人才評審專家。TMM、TAC、IJCAI、CVPR等多個ACM/IEEE會刊和國際/内知名會議的審稿人和共同主席。

主要研究方向：多媒體與智能信息處理，包括複雜環境下的圖像、聲音以及跨媒體融合處理。在情感計算、多媒體信息處理、人機交互方面的研究成果在計算機學報、CVPR、ACMMM、TIP、TMM等國内外知名學術會議/期刊上發表論文60餘篇。基于視覺語音行為監控與展現的研究成果在重症病人監護、醫療設備智能交互、駕駛員行為分析等領域進行推廣應用，獲得了很好的經濟效益，獲省部級及行業科技進步獎4項。

教研成果

獎勵與榮譽：

（1）國家重點項目主持人

（2）江蘇省“333人才工程”第二層次人才

（3）江蘇省“青藍工程”學術帶頭人

（4）江蘇省“六大人才高峰”高層次人才

（5）江蘇省優秀博士論文指導教師

（6）國家“雙萬計劃”一流專業負責人

（7）江蘇省大數據泛在感知與智能農業應用工程研究中心主任

（8）鎮江市師德先進個人

（9）江蘇省人工智能學會優秀個人會員（2017）

（10）十大靠谱的菠菜网優秀教師、十大靠谱的菠菜网三全育人先進個人、十大靠谱的菠菜网優秀共産黨員、十大靠谱的菠菜网優秀學業導師等榮譽

（11）中國圖象圖形學學會動畫與數字娛樂專委會副秘書長、江蘇人人工智能學會機器學習專委會副主任、江蘇省計算機學會計算機教育專委會副主任

（12）擔任過ICME、ICPR、ICRR等國内外知名會議的論壇主席和workshop共同主席，是TAC、TMM、PR等知名學術期刊的審稿人。

研究領域：

本人可在計算機科學與技術專業（081200）招收博士生，在計算機科學與技術（081200）、控制科學與工程（081100）專業招收學術學位碩士研究生，在電子信息計算機技術（085404）、人工智能（085410）和軟件工程（085405）招收專業學位碩士研究生，主要研究方向包括：多媒體智能信息處理、計算機視覺、圖像處理、語音信号理解、模式識别等領域的科學研究和技術服務。也歡迎有興趣的本科生加入。

主持科研項目：

1. 國家級重點項目，複雜環境下語音數據的說話人識别及關鍵詞關聯檢索，主持。

2. 國家級項目，面向大規模視覺語音信号的複雜情感發現與分析方法研究，主持。

3. 國家級項目，基于情感上下文的視覺語音多模态協同情感分析方法研究，主持。

4. 國家級項目，面向複雜環境的視覺語音群體情感感知與推理，主持。

5. 江蘇省重點研發計劃，➿⚽✨➿方言和情感的智能語音交互關鍵技術及應用，主持。

人才培養：

所指導的博士生獲得江蘇省優秀博士論文、并被入職高校直接聘為教授，碩士生獲得十大靠谱的菠菜网優秀碩士論文，多次在科大訊飛、Interspeech等組織的情緒識别挑戰賽、聲紋識别挑戰賽等競賽中獲獎，碩士畢業生就職于百度、海康威視、科大訊飛等知名IT企業。

代表性論文（近三年）：

[1] Qirong Mao, Ling Zhou, Wenming Zheng, et al. Region Attention and Graph Embedding Network for Occlusion Objective Class-Based Micro-Expression Recognition[J]. IEEE Transactions on Affective Computing, 2022.

[2] Lijian Gao, Qirong Mao, Jingjing Chen, et al. Reproducibility Companion Paper: On Learning Disentangled Representation for Acoustic Event Detection[C]. Proceedings of the ACM International Conference on Multimedia. Chengdu, China, 2021, 10, 20-24: 3638-3641.

[3] Feifei Zhang, Tianzhu Zhang, Qirong Mao, et al. Geometry Guided Pose-Invariant Facial Expression Recognition[J]. IEEE Transactions on Image Processing, 2020, 29: 4445-4460.

[4] Feifei Zhang, Tianzhu Zhang, Qirong Mao, et al. A Unified Deep Model for Joint Facial Expression Recognition, Face Synthesis and Face Alignment[J]. IEEE Transactions on Image Processing, 2020, 29: 6574-6589.

[5] Feifei Zhang, Mingliang Xu, Qirong Mao, et al. Joint Attribute Manipulation and Modality Alignment Learning for Composing Text and Image to Image Retrieval[C]. Proceedings of the ACM International Conference on Multimedia. Seattle, USA, 2020, 10, 12-16: 3367-3376

[6] Feifei Zhang, Tianzhu Zhang, Qirong Mao, et al. Joint Pose and Expression Modeling for Facial Expression Recognition[C]. Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition. Salt Lake City, Utah, 2018, 6, 18-22: 3359-3368.

[7] Feifei Zhang, Tianzhu Zhang, Qirong Mao, et al. Facial Expression Recognition in the Wild: A Cycle-Consistent Adversarial Attention Transfer Approach[C]. Proceedings of the ACM International Conference on Multimedia. Seoul, Korea, 2018, 10, 22-26: 126-135.

[8] Ling Zhou, Qirong Mao, Xiaohua Huang, et al. Feature Refinement: An Expression-Specific Feature Learning and Fusion Method for Micro-Expression Recognition[J]. Pattern Recognition, 2022, 122: 108275.

[9] Luoyang Xue, Ang Xu, Qirong Mao, et al. Weakly Supervised Sentiment-Specific Region Discovery for VSA[J]. The Computer Journal, 2022, 65(4): 818-830.

[10] Sidheswar Routray, Qirong Mao. Phase Sensitive Masking-Based Single Channel Speech Enhancement Using Conditional Generative Adversarial Network[J]. Computer Speech and Language, 2022, 71: 101270.

[11] Qing Zhu, Qirong Mao, Hongjie Jia, et al. Convolutional Relation Network for Facial Expression Recognition in the Wild with Few-Shot Learning[J]. Expert Systems with Applications, 2022, 189: 116046.

[12] Shuangqing Qian, Lijian Gao, Hongjie Jia, Qirong Mao. Efficient Monaural Speech Separation with Multiscale Time-Delay Sampling[C]. Proceedings of the IEEE International Conference on Acoustics, Speech and Signal Processing. Marina Bay Sands Expo and Convention Center, Singapore, 2022, 5, 22-27: 6847-6851.

[13] Zi-Kai Wan, Qinghua Ren, You-cai Qin, Qirong Mao. Statistical Pyramid Dense Time Delay Neural Network for Speaker Verification[C]. Proceedings of the IEEE International Conference on Acoustics, Speech and Signal Processing, Marina Bay Sands Expo and Convention Center, Singapore, 2022, 5, 22-27: 7532-7536.

[14] Hongjie Jia, Liangjun Wang, Heping Song, Qirong Mao, et al. An Efficient Nyström Spectral Clustering Algorithm Using Incomplete Cholesky Decomposition[J]. Expert Systems with Applications, 2021, 186: 115813.

[15] Ocquaye Elias Nii Noi, Qirong Mao, et al. Cross Lingual Speech Emotion Recognition via Triple Attentive Asymmetric Convolutional Neural Network[J]. International Journal of Intelligent Systems, 2021, 36(1): 53-71.

[16] Qing Zhu, Lijian Gao, Heping Song, Qirong Mao. Learning to Disentangle Emotion Factors for Facial Expression Recognition in the Wild[J]. International Journal of Intelligent Systems, 2021, 36(6): 2511-2527.

[17] Ling Zhou, Xiuyan Shao, Qirong Mao. A Survey of Micro-Expression Recognition[J]. Image and Vision Computing, 2021, 105: 104043.

[18] Duolin Huang, Qirong Mao, Zhongchen Ma, et al. Latent Discriminative Representation Learning for Speaker Recognition[J]. Frontiers of Information Technology and Electronic Engineering, 2021, 22(5): 697-708.

[19] Duolin Huang, Qirong Mao, Zhongchen Ma, et al. Erratum to: Latent Discriminative Representation Learning for Speaker Recognition[J]. Frontiers of Information Technology and Electronic Engineering, 2021, 22(6): 914-914.

[20] Chao Qi, Jianming Zhang, Hongjie Jia, Qirong Mao, et al. Deep Face Clustering Using Residual Graph Convolutional Network[J]. Knowledge-Based Systems, 2021, 211: 106561.

[21] Luoyang Xue, Qirong Mao, Xiaohua Huang, et al. NLWSNet: A Weakly Supervised Network for Visual Sentiment Analysis in Mislabeled Web Images[J]. Frontiers of Information Technology and Electronic Engineering, 2020, 21(9): 1321-1333.

[22] Jingjing Chen, Qirong Mao, You-cai Qin, et al. Latent Source-Specific Generative Factor Learning for Monaural Speech Separation Using Weighted-Factor Autoencoder[J]. Frontiers of Information Technology and Electronic Engineering, 2020, 21(11): 1639-1650.

[23] Jingjing Chen, Qirong Mao, Dong Liu. On Synthesis for Supervised Monaural Speech Separation in Time Domain[C]. Proceedings of the International Conference on INTERSPEECH. Shanghai, China, 2020, 10, 25-29: 2627-2631.

[24] Jingjing Chen, Qirong Mao, Dong Liu. Dual-Path Transformer Network: Direct Context-Aware Modeling for End-to-End Monaural Speech Separation[C]. Proceedings of the International Conference on INTERSPEECH. Shanghai, China, 2020, 10, 25-29: 2642-2646

[25] Mengjiao Sheng, Zhongchen Ma, Hongjie Jia, Qirong Mao, et al. Face Aging with Conditional Generative Adversarial Network Guided by Ranking-CNN C]. Proceedings of the IEEE Conference on Multimedia Information Processing and Retrieval. Online, 2020, 8, 6-8: 314-319.