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個(gè)人簡(jiǎn)介
吳慶耀,，華南理工大學(xué)軟件學(xué)院教授,、博士生導(dǎo)師，國(guó)家級(jí)青年人才項(xiàng)目入選者,；大數(shù)據(jù)與智能機(jī)器人教育部重點(diǎn)實(shí)驗(yàn)室副主任,，廣州市機(jī)器人軟件及復(fù)雜信息處理重點(diǎn)實(shí)驗(yàn)室主任,，深度學(xué)習(xí)與機(jī)器視覺等三個(gè)校企聯(lián)合實(shí)驗(yàn)室主任,；Elsevier期刊Software Impacts副主編、IEEE 電子商務(wù)工程國(guó)際會(huì)議 2021年大會(huì)主席及2022年/2023年程序主席,，入選2022年美國(guó)斯坦福大學(xué)發(fā)布的全球前2%頂尖科學(xué)家榜單,；主持三項(xiàng)國(guó)家自然科學(xué)基金與廣東省重點(diǎn)領(lǐng)域研發(fā)計(jì)劃和廣東省特支計(jì)劃項(xiàng)目。獲授權(quán)國(guó)內(nèi)發(fā)明專利10余項(xiàng),、PCT國(guó)際專利3項(xiàng),；主要從事計(jì)算機(jī)視覺、數(shù)據(jù)挖掘,、機(jī)器人調(diào)度決策,、多模態(tài)金融數(shù)據(jù)分析理論與應(yīng)用研究，相關(guān)成果發(fā)表于CVPR,、ICCV,、IJCAI,、AAAI和TKDE,、TNNLS、TIP等CCF-A類會(huì)議和期刊,。曾獲2018年度廣東省自然科學(xué)獎(jiǎng)二等獎(jiǎng),、2016年度深圳市自然科學(xué)獎(jiǎng)二等獎(jiǎng)。
學(xué)歷
2009.09–2013.12,，哈爾濱工業(yè)大學(xué)（深圳）,，計(jì)算機(jī)軟件與理論，博士 （導(dǎo)師：葉允明）
2007.09–2009.09,，哈爾濱工業(yè)大學(xué)（深圳）,，計(jì)算機(jī)科學(xué)與技術(shù)，碩士 （導(dǎo)師：葉允明）
2003.09–2007.09,，華南理工大學(xué),，軟件工程，學(xué)士（導(dǎo)師：閔華清）
教學(xué)經(jīng)歷
主講課程：《機(jī)器學(xué)習(xí)》《IT項(xiàng)目管理》等本科生課程,；《高級(jí)機(jī)器學(xué)習(xí)》等研究生課程,。
工作經(jīng)歷
2018.9-至今，華南理工大學(xué),，軟件學(xué)院,，教授
2015.1-2018.8，華南理工大學(xué),，軟件學(xué)院,，副教授
社會(huì)兼職
擔(dān)任國(guó)際期刊Software Impacts副主編；IEEE電子商務(wù)工程國(guó)際會(huì)議ICEBE 2021年大會(huì)主席ICEBE 2022年2023年程序主席,；NeurIPS,、ICML,、CVPR、ICCV,、ECCV等多個(gè)國(guó)際會(huì)議審稿人,；TPAMI、TNNLS,、TKDE等多個(gè)IEEE Trans.期刊審稿人,。
研究方向
主要從事計(jì)算機(jī)視覺、數(shù)據(jù)挖掘,、機(jī)器人調(diào)度決策,、多模態(tài)金融數(shù)據(jù)分析理論與應(yīng)用研究
(1) 計(jì)算機(jī)視覺：圖像與視頻理解、AIGC,、三維重建
(2) 數(shù)據(jù)挖掘：遷移學(xué)習(xí),、小樣本學(xué)習(xí)、異常欺詐檢測(cè)
(3) 機(jī)器人調(diào)度決策：多任務(wù)調(diào)度,、定位與建圖,、路徑規(guī)劃
(4) 多模態(tài)金融數(shù)據(jù)分析：多模態(tài)投資組合策略
獲獎(jiǎng)情況
(1) 2022年，美國(guó)斯坦福大學(xué)發(fā)布的全球2%頂尖科學(xué)家
(2) 2021年,，廣東省課程思政改革示范課程獎(jiǎng)
(3) 2019年,，“廣東特支計(jì)劃”科技創(chuàng)新青年拔尖
(4) 2018年，廣東省自然科學(xué)獎(jiǎng)二等獎(jiǎng)
(5) 2018年,，廣東省計(jì)算機(jī)學(xué)會(huì)優(yōu)秀論文獎(jiǎng)一等獎(jiǎng)
(6) 2017年,，廣州市珠江科技新星
(7) 2017年，CCF-騰訊犀牛鳥基金優(yōu)秀獎(jiǎng)
(8) 2016年,，深圳市自然科學(xué)獎(jiǎng)二等獎(jiǎng)
(9) 2016年,，ECCV 會(huì)議Transferring and Adapting Source Knowledge in Computer Vision研討會(huì)榮譽(yù)論文獎(jiǎng)
科研項(xiàng)目
主持國(guó)家級(jí)和省部級(jí)重大項(xiàng)目等共20多項(xiàng)
(1) 廣州諾頂智能科技有限公司-華南理工大學(xué)芯片半導(dǎo)體人工智能聯(lián)合實(shí)驗(yàn)室，2024-2027
(2) 國(guó)家自然科學(xué)基金面上基金,，“基于3D骨架自監(jiān)督學(xué)習(xí)的視頻動(dòng)作表示學(xué)習(xí)研究”,，2023-2026
(3) 廣東省自然科學(xué)基金-面上項(xiàng)目，“面向視頻動(dòng)作識(shí)別的3D骨架自監(jiān)督學(xué)習(xí)研究”,， 2023-2024
(4) 華南理工大學(xué)—深圳金三立視頻科技有限公司深度學(xué)習(xí)與機(jī)器視覺聯(lián)合實(shí)驗(yàn)室,，2021-2024
(5) 華南理工大學(xué)—廣州易方信息科技有限公司智能音視頻聯(lián)合實(shí)驗(yàn)室，2021-2024
(6) 中郵消費(fèi)金融公司與華南理工大學(xué)（軟件學(xué)院）校企合作,，語音去躁與識(shí)別,，2022-2022
(7) 騰訊犀牛鳥基金項(xiàng)目，面向異常用戶標(biāo)簽挖掘的小樣本學(xué)習(xí)技術(shù)研究,，2022-2023
(8) 琶洲實(shí)驗(yàn)室青年學(xué)者項(xiàng)目,，遷移學(xué)習(xí)關(guān)鍵技術(shù)研究與應(yīng)用，2021-2023
(9) 廣東省氣象中心合作項(xiàng)目,，對(duì)流系統(tǒng)演變特征分類與識(shí)別的人工智能算法,，2021-2022
(10) “廣東特支計(jì)劃”科技創(chuàng)新青年拔尖人才,，遷移學(xué)習(xí)關(guān)鍵技術(shù)研究，2020-2023
(11) 廣東省重點(diǎn)研發(fā)項(xiàng)目,，“多模態(tài)智能機(jī)器人視覺感知與人機(jī)交互關(guān)鍵技術(shù)研究及應(yīng)用示范”,，2018-2021
(12) 國(guó)家自然科學(xué)基金面上基金，“基于對(duì)抗表示學(xué)習(xí)的知識(shí)遷移關(guān)鍵技術(shù)研究”2019-2022
(13) 廣州市珠江新星項(xiàng)目,，“面向遷移學(xué)習(xí)的生成對(duì)抗網(wǎng)絡(luò)研究”,，2018-2021
(14) 國(guó)家自然科學(xué)基金青年基金，“基于概率語義分析的多關(guān)系圖多類標(biāo)分類方法研究”,，2016-2018
(15) 廣東省科技專項(xiàng)--公益研究與能力建設(shè),，“面向特定主題網(wǎng)絡(luò)媒體大數(shù)據(jù)的深度學(xué)習(xí)技術(shù)研究及應(yīng)用”，2017-2018
(16) 廣東省科技專項(xiàng)--協(xié)同創(chuàng)新與平臺(tái)環(huán)境建設(shè),，“深度形體動(dòng)作識(shí)別關(guān)鍵技術(shù)研究及在社區(qū)安防上的應(yīng)用”,，2017-2018
(17) CCF-騰訊犀牛鳥基金項(xiàng)目，“面向廣告推薦的深度學(xué)習(xí)模型壓縮與特征理解及在小樣本條件下的應(yīng)用”,，2019-2020
(18) CCF-騰訊犀牛鳥基金項(xiàng)目,，“面向遷移學(xué)習(xí)的生成對(duì)抗網(wǎng)絡(luò)研究及應(yīng)用”，2017-2018
(19) 廣東省教育廳青年創(chuàng)新人才,，2016-2017
(20) 中央高?；究蒲袠I(yè)務(wù)杰青項(xiàng)目，2015-2016
發(fā)表論文
以第一作者/通訊作者的身份在CVPR,、ICCV、IJCAI,、AAAI等會(huì)議和IEEE TKDE,、IEEE TIP、IEEE TNNLS等期刊發(fā)表論文100多篇（*代表通訊作者 #代表共同一作）
1. Ruirui Liu, Haoxian Liu, Huichou Huang, Bo Song, Qingyao Wu*, "Multimodal Multiscale Dynamic Graph Convolution Networks for Stock Price Movement Prediction", Pattern Recognition, 2024
2. Yukun Su, Yiwen Cao, Jingliang Deng, Fengyun Rao, Qingyao Wu*, "Spatial-Semantic Collaborative Cropping for User Generated Content", Association for the Advancement of Artificial Intelligence (AAAI), 2024
3. Xiaofeng Yang, Fayao Liu, Yi Xu, Hanjing Su, Qingyao Wu, Guosheng Lin, "Diverse and Stable 2D Diffusion Guided Text to 3D Generation with Noise Recalibration", Association for the Advancement of Artificial Intelligence (AAAI), 2024
4. Chaowei Fang, ziyin zhou, Junye Chen, Hanjing Su, Qingyao Wu, Guanbin Li, "Variance-insensitive and Target-preserving Mask Refinement for Interactive Image Segmentation", Association for the Advancement of Artificial Intelligence (AAAI), 2024
5. Yiwen Cao, Yukun Su, Jingliang Deng, Yu Zhang, Qingyao Wu*, "Adaptive Locally-Aligned Transformer for Low-Light Video Enhancement", Computer Vision and Image Understanding, 2024
[2023]
1. Hao Yun#, Yukun Su#, Guosheng Lin, Hanjing Su, Qingyao Wu*, "Contrastive Generative Network with Recursive-Loop for 3D Point Cloud Generalized Zero-Shot Classiffcation", Pattern Recognition, 2023, 144: 109843. 影響因子8,，JCR一區(qū),，CCF B類期刊
2. Lvlong Lai#, Jian Chen#, Qingyao Wu*, "Zero-Shot Single-View Point Cloud Reconstruction via Cross-Category Knowledge Transferring", IEEE Transactions on Multimedia, 2023 (Early Access), DOI: 10.1109/TMM.2023.3282467. 影響因子7.3，JCR一區(qū),，CCF B類期刊
3. Yukun Su, Jingliang Deng, Ruizhou Sun, Guosheng Lin*, Hanjing Su, Qingyao Wu*, "A Unified Transformer Framework for Group-based Segmentation: Co-Segmentation, Co-Saliency Detection and Video Salient Object Detection", IEEE Transactions on Multimedia, 2023 DOI: 10.1109/TMM.2023.3264883. 影響因子7.3,，JCR一區(qū)，CCF B類期刊
4. Ruizhou Sun#, Yukun Su#, Qingyao Wu*, "DENet: Disentangled Embedding Network for Visible Watermark Removal", Association for the Advancement of Artificial Intelligence (AAAI), 2023, 37(2): 2411-2419. CCF A類會(huì)議
5. Siraj Khan, Muhammad Asim*, Salabat Khan, Ahmad Musyafa, Qingyao Wu*, "Unsupervised domain adaptation using fuzzy rules and stochastic hierarchical convolutional neural networks", Computers and Electrical Engineering, 2023, 105: 108547. 影響因子4.3,，JCR二區(qū)
6. Wenjun Wang, Qingyao Wu*, Chunshan Li*, "iEnhancer-DCSA: identifying enhancers via dual-scale convolution and spatial attention", BMC Genomics, 2023, 24(1): 393. 影響因子4.4,，JCR一區(qū)
[2022]
1. Yukun Su，Guosheng Lin,，Ruizhou Sun,，Qingyao Wu*, General Object Pose Transformation Network from Unpaired Data, European Conference on Computer Vision (ECCV), 2022
2. Hanrui Wu, Yuguang Yan, Guosheng Lin, Min Yang, Michael K. Ng, Qingyao Wu*, "Iterative Refinement for Multi-source Visual Domain Adaptation"，IEEE Transactions on Knowledge and Data Engineering, 6, 2810-2823, 2022
3. Jiezhang Cao, Yong Guo, Qingyao Wu, Chunhua Shen, Junzhou Huang, Mingkui Tan, "Improving Generative Adversarial Networks with Local Coordinate Coding", IEEE Transactions on Pattern Analysis and Machine Intelligence, 44 (1) , pp.211-227, 2022
4. Chaorui Deng, Qi Wu, Qingyao Wu, Fan Lyu, Fuyuan Hu, Mingkui Tan, "Visual Grounding via Accumulated Attention" IEEE Transactions on Pattern Analysis and Machine Intelligence, 44 (3) , pp.1670-1684, 2022
5. Pengshuai Yin, Hongmin Cai, Qingyao Wu*, DF-Net:Deep Fusion Network for Multi-source Vessel Segmentation, Information Fusion, 78: 199-208, 2022
6. Yifan Zhang#, Peilin Zhao#, Qingyao Wu#, Bin Li, Junzhou Huang, and Mingkui Tan, "Cost-Sensitive Portfolio Selection via Deep Reinforcement Learning", IEEE Transactions on Knowledge and Data Engineering, 34 (1) , pp.236-248, 2022
7. Yukun Su, Yiwen Cao, Guosheng Lin, Qingyao Wu*, "Self-Supervised Object Localization with Joint Graph Partition", Association for the Advancement of Artificial Intelligence (AAAI), 2022
8. Haonan Luo, Guosheng Lin, Yazhou Yao, Zhenmin Tang, Qingyao Wu, and Xiansheng Hua, "Dense Semantics-Assisted Networks For Video Action Recognition." IEEE Transactions on Circuits and Systems for Video Technology, 5,3072-3084, 2022
9. Junyu Su, Yukun Su, Yu Zhang, Weiqiang Yang, Huichou Huang, Qingyao Wu*, "EpNet: Power lines foreign object detection with Edge Proposal Network and data composition", Knowledge-Based Systems, 249: 108857. 2022
10. Chao Han, Jian Chen, Mingkui Tan, Michael K. Ng, Qingyao Wu*, "A Tensor-based Markov Chain Model for Heterogeneous Information Network Collective Classification", IEEE Transactions on Knowledge and Data Engineering, 34(9): 4063-4076 (2022)
[2021]
1. Yukun Su, Guosheng Lin, Qingyao Wu*, Self-supervised 3D Skeleton Action Representation Learning with Motion Consistency and Continuity, In Proceedings of the IEEE/CVF Conference on Computer Vision(ICCV), 2021, pp. 13328-13338.
2. Yukun Su, Ruizhou Sun, Guosheng Lin, Qingyao Wu*, Context Decoupling Augmentation for Weakly Supervised Semantic Segmentation, In Proceedings of the IEEE/CVF International Conference on Computer Vision(ICCV), 2021, (pp. 7004-7014)
3. Yukun Su, Guosheng Lin, Yun Hao, Qingyao Wu*, Modeling the Uncertainty for Self-supervised 3D Skeleton Action Representation Learning, In Proceedings of the 29th ACM International Conference on Multimedia , 2021 Oct 17 (pp. 769-778)
4. Xiaojin Zhong, Zhonghua Wu, Guosheng Lin, Qingyao Wu*, MV-TON: Memory-based Video Virtual Try-on network, In Proceedings of the 29th ACM International Conference on Multimedia , 2021, (pp. 908-916)
5. Minli Li, Peilin Zhao, Yifan Zhang, Shuaicheng Niu, Qingyao Wu#, Mingkui Tan, Structure-aware Mathematical Expression Recognition with Sequence-Level Modeling, ACM MM, 2021
6. Jiachun Wang, Fajie Yuan, Jian Chen*, Qingyao Wu*, Min Yang*, Yang Sun, Guoxiao Zhang, StackRec: Efficient Training of Very Deep Sequential Recommender Models by Iterative Stacking, SIGIR, 2021
7. Xiaojun Chen, Yuzhong Ye, Qingyao Wu*, Feiping Nie, Fast Manifold Ranking with Local Bipartite Graph, IEEE Transactions on Image Processing, 30 (2021): 6744-6756.
8. Pengshuai Yin, Yanwu Xu, Jinhui Zhu, Changan Yi, Huichou Huang, Qingyao Wu*, Deep Level Set Learning for Optic Disc and Cup Segmentation, Neurocomputing, 464 , pp.330-341, 2021
9. Yuguang Yan, Hanrui Wu, Yuzhong Ye, Chaoyang Bi, Min Lu, Dapeng Liu, Qingyao Wu*, Michael K. Ng, "Transferable Feature Selection for Unsupervised Domain Adaptation", IEEE Transactions on Knowledge and Data Engineering, 34.11, 5536-5551, 2021.
10. Xiaojun Chen, Renjie Chen, Qingyao Wu*, Feiping Nie, Min Yang, "Semi-supervised Feature Selection via Structured Manifold Learning", IEEE Transactions on Cybernetics, 2168-2267, 2021
11. Hanrui Wu, Yuguang Yan, Sentao Chen, Xiangkang Huang, Qingyao Wu, Michael K. Ng, "Joint Visual and Semantic Optimization for zero-shot learning",， Knowledge-Based Systems, 215, 0950-7051, 2021
12. Pengshuai Yin, Jiayong Ye, Guoshen Lin, and Qingyao Wu*, "Graph Neural Network for 6D Object Pose Estimation", Knowledge-Based Systems, 218:106839, 2021
13. Zheng Xie, Zhiquan Wen, Yaowei Wang, Qingyao Wu*, Mingkui Tan, "Towards effective deep transfer via attentive feature alignment", Neural Networks, 138, pp.98-109, 2021
14. Hanrui Wu, Qingyao Wu, Michael K. Ng, “Knowledge Preserving and Distribution Alignment for Heterogeneous Domain Adaptation”, ACM Transactions on Information Systems, 40(1), 1-29, 2021
15. Chi Zhang, Guankai Li, Guosheng Lin, Qingyao Wu, Rui Yao, “CycleSegNet: Object Co-Segmentation With Cycle Refinement and Region Correspondence”, IEEE Transactions on Image Processing, 30, 1057-7149, 2021
16. Weichan Zhong, Xiaojun Chen, Qingyao Wu, Min Yang, and Joshua Z. Huang, Selection of diverse features with a diverse regularization, Pattern Recogniton, 120, 108154 , 2021
17. Mingkui Tan, Zhibin Hu, Yuguang Yan, Jiezhang Cao, Dong Gong, Qingyao Wu*, "Learning Sparse PCA with Stabilized ADMM Method on Stiefel Manifold", IEEE Transactions on Knowledge and Data Engineering, 33(3), 1078-1088, 2021
18. Yifan Zhang, Peilin Zhao, Shuaicheng Niu, Qingyao Wu#, Jiezhang Cao, Junzhou Huang, Mingkui Tan, "Online Adaptive Asymmetric Active Learning with Limited Budgets", IEEE Transactions on Knowledge and Data Engineering, 33(6), 1041-4347, 2021
[2020]
1. Xiaojun Chen, Renjie Chen, Qingyao Wu*, Yixiang Fang, Feiping Nie, Zhexue Huang, "LABIN: Balanced Min Cut for Large-scale Data", IEEE Transactions on Neural Networks and Learning Systems (TNNLS), 31(3), pp.725-739, 2020 (IF:8.793)
2. Min Yang, Chengming Li, Ying Shen, Qingyao Wu*, Zhou Zhao, Xiaojun Chen, Ying Shen, "Hierarchical Human-like Deep Neural Networks for Abstractive Text Summarization", IEEE Transactions on Neural Networks and Learning Systems (TNNLS), 32(6), 2744-2757, 2020
3. Min Yang, Junhao Liu, Ying Shen, Zhou Zhao, Xiaojun Chen, Qingyao Wu*, Chengming Li, "An Ensemble of Generation- and Retrieval-Based Image Captioning With Dual Generator Generative Adversarial Network" IEEE Transactions on Image Processing, 29, 9627-9640, 2020
4. Hanrui Wu, Yuguang Yan, Michael K. Ng, Qingyao Wu*, "Domain-attention Conditional Wasserstein Distance for Multi-source Domain Adaptation", ACM Transactions on Intelligent Systems and Technology, 11(4),1-19, 2020
5. Yukun Su, Guosheng Lin, Jinhui Zhu, Qingyao Wu*, "Human interaction learning on 3D skeleton point clouds for video violence recognition", In European Conference on Computer Vision, pp. 74-90. Springer, Cham, 2020
6. Lichang Chen, Guosheng Lin, Shijie Wang, Qingyao Wu, "Graph Edit Distance Reward: Learning to Edit Scene Graph", European Conference on Computer Vision (ECCV), 2020
7. Yifan Zhang#, Ying Wei#, Qingyao Wu#, Peilin Zhao, Shuaicheng Niu, Junzhou Huang, Mingkui Tan, "Collaborative Unsupervised Domain Adaptation for Medical Image Diagnosis", IEEE Transactions on Image Processing, Vol:29, pp.7834-7844, 2020
8. Hanrui Wu, Yuguang Yan, Yuzhong Ye, Michael K Ng, Qingyao Wu*, "Geometric Knowledge Embedding for Unsupervised Domain Adaptation", Knowledge-Based Systems, 191: 105155. 2020
9. Min Yang, Lei Chen, Ziyu Lyu, Junhao Liu, Ying Shen, Qingyao Wu, “Hierarchical fusion of common sense knowledge and classifier decisions for answer selection in community question answering”, 132, Neural Networks, 132, pp.53-65, 2020
[2019]
1. Runhao Zeng, Chuang Gan, Peihao Chen, Wenbing Huang, Qingyao Wu, Mingkui Tan, "Breaking Winner-takes-all: Iterative-winners-out Networks for Weakly Supervised Temporal Action Localization", IEEE Transactions on Image Processing, 28(12): 5797-5808, 2019
2. Fan Lyu, Qi Wu, Fuyuan Hu, Qingyao Wu, Mingkui Tan, "Attend and Imagine: Multi-label Image Classification with Visual Attention and Recurrent Neural Networks", IEEE Transactions on Multimedia, 21(8): 1971-1981, 2019
3. Hanrui Wu, Yuguang Yan, Michael Ng, Huaqing Min, Qingyao Wu*, "Online Heterogeneous Transfer Learning by Knowledge Transition", ACM Transactions on Intelligent Systems and Technology, 10(3): 1-19, 2019
4. Xiaojun Chen, Joshua Z. Huang, Qingyao Wu*, Min Yang "Subspace Weighting Co-Clustering of Gene Expression Data", IEEE/ACM Transactions on Computational Biology and Bioinformatics (TCBB), 16(2), 352-364, April 2019 (IF: 3.015)
5. Chi Zhang, Guosheng Lin, Fayao Liu, Jiushuang Guo, Qingyao Wu, Rui Yao, "Pyramid Graph Networks with Connection Attentions for Region-Based One-Shot Semantic Segmentation", ICCV 2019
6. Min Yang, Lei Chen, Xiaojun Chen, Qingyao Wu, Wei Zhou, Ying Shen, "Knowledge-enhanced Hierarchical Attention for Community Question Answering with Multi-task and Adaptive Learning", IJCAI 2019
7. Yifan Zhang, Hanbo Chen, Ying Wei, Peilin Zhao, Jiezhang Cao, Mingkui Tan, Qingyao Wu*, Xinjuan Fan, Xiaoying Lou, Hailing Liu, Jinlong Hou, Xiao Han, Jianhua Yao, Junzhou Huang, "From whole slide imaging to microscopy: Deep microscopy adaptation network for histopathology cancer image classification." In International Conference on Medical Image Computing and Computer-Assisted Intervention (MICCAI), pp. 360-368. Springer, Cham, 2019
8. Shihao Zhang, Huazhu Fu, Yuguang Yan, Yubing Zhang, Qingyao Wu, Ming Yang, Mingkui Tan, Yanwu Xu, "Attention Guided Network for Retinal Image Segmentation", In International Conference on Medical Image Computing and Computer-Assisted Intervention (MICCAI), 2019
9. Pengshuai Ying#, Qingyao Wu#, Mingkui Tan, Ming Yang, Yubing Zhang, Huaqing Min, Yanwu Xu, "PM-NET: Pyramid Multi-Label Network for Optic Disc and Cup Segmentation", In International Conference on Medical Image Computing and Computer-Assisted Intervention (MICCAI),2019
10. Yuguang Yan, Mingkui Tan, Yanwu Xu, Jiezhang Cao, Michael K. Ng, Huaqing Min, Qingyao Wu*, Oversampling for Imbalanced Data via Optimal Transport, Association for the Advancement of Artificial Intelligence (AAAI), 2019
11. Pengshuai Yin, Qingyao Wu#, Yanwu Xu, Huaqing Min, Ming Yang, Yubing Zhang, Mingkui Tan, "PM-Net: Pyramid Multi-label Network for Joint Optic Disc and Cup Segmentation", 10th International Workshop on Machine Learning in Medical Imaging (MLMI), 2019
12. Yong Guo, Qi Chen, Jian Chen, Qingyao Wu, Qinfeng Shi, and Mingkui Tan, Auto-Embedding Generative Adversarial Networks For High Resolution Image Synthesis, 11(21), IEEE Transactions on Multimedia, 2019
13. Shihao Zhang, Yuguang Yan, Pengshuai Yin, Zhen Qiu, Wei Zhao, Guiping Cao, Wan Chen, Jin Yuan, Risa Higashita, Qingyao Wu, Mingkui Tan, Jiang Liu, “Guided M-Net for High-Resolution Biomedical Image Segmentation with Weak Boundaries”, 6th International Workshop on Ophthalmic Medical Image Analysis(OMIA), 2019
14. Zhang, Yifan, Chen, Hanbo, Wei, Ying, Zhao, Peilin, Cao, Jiezhang, Fan, Xinjuan, Lou, Xiaoying, Liu, Hailing, Hou, Jinlong, Han, Xiao, Yao, Jianhua, Wu, Qingyao, Tan, Mingkui, Huang, Junzhou, From Whole Slide Imaging to Microscopy: Deep Microscopy Adaptation Network for Histopathology Cancer Image Classification, 10th International Workshop on Machine Learning in Medical Imaging (MLMI), 2019
15. Min Yang, Qingnan Jiang, Ying Shen, Qingyao Wu, Zhou Zhao, Wei Zhou,,Hierarchical human-like strategy for aspect-level sentiment classification with sentiment linguistic knowledge and reinforcement learning, Neural Networks, 117, 2019
[2018]
1. Yuguang Yan, Qingyao Wu*, Mingkui Tan*, Michael Ng, Huaqing Min, Ivor Tsang, "Online Heterogeneous Transfer by Hedge Ensemble of Offline and Online Decisions", IEEE Transactions on Neural Networks and Learning Systems (TNNLS), 29(7), pp. 3252-3263, 2018 (IF:8.793)
2. Zhuangwei Zhuang, Mingkui Tan, Bohan Zhuang, Jing Liu, Yong Guo, Qingyao Wu, Junzhou Huang, Jinhui Zhu "Discrimination-aware Channel Pruning for Deep Neural Networks", Thirty-second Conference on Neural Information Processing Systems (NIPS), 2018
3. Junhong Huang, Mingkui Tan, Yuguang Yan, Chunmei Qing, Qingyao Wu, Zhuliang Yu, Dong Xu "Cartoon-to-Photo Facial Translation with Generative Adversarial Networks", ACML, 2018
4. Jiezhang Cao#, Yong Guo#, Qingyao Wu#, Chunhua Shen, Mingkui Tan*, "Adversarial Learning with Local Coordinate Coding", Proceedings of the 35th International Conference on Machine Learning (ICML 2018), 2018
5. Yifan Zhang, Peilin Zhao, Jiezhang Cao, Wenye Ma, Junzhou Huang, Qingyao Wu*, Mingkui Tan "Online Adaptive Asymmetric Active Learning for Budgeted Imbalanced Data", ACM SIGKDD International Conference on Knowledge Discovery and Data Mining (SIGKDD), 2018
6. Yuguang Yan, Wen Li, Hanrui Wu, Huaqing Min, Mingkui Tan*, Qingyao Wu*, "Semi-Supervised Optimal Transport for Heterogeneous Domain Adaptation", Proceedings of the 27th International Joint Conference on Artificial Intelligence (IJCAI), 2018
7. Chaorui Deng, Qi Wu, Qingyao Wu*, Fuyuan Hu, Fan Lyu, Mingkui Tan*, "Visual Grounding via Accumulated Attention", In Proceeding of IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 2018
8. Yong Guo#, Qingyao Wu#, Jian Chen, Mingkui Tan, " Double forward propagation for memorized batch normalization", Association for the Advancement of Artificial Intelligence (AAAI), 2018
9. Renjie Chen, Xiaojun Chen, Guowen Yuan, Wenya Sun and Qingyao Wu, "A Stratified Feature Ranking Method for Supervised Feature Selection", Association for the Advancement of Artificial Intelligence (AAAI), 2018 (Student Abstract Paper)
Siyu Jiang, Yonghui Xu, Hengjie Song, Qingyao Wu, Michael K. Ng, Huaqing Min, Shaojian Qiu, “Multi-instance transfer metric learning by weighted distribution and consistent maximum likelihood estimation”, Neurocomputing, 321, pp.49-60, 2018
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廣州大學(xué)城華南理工大學(xué)軟件學(xué)院B8
