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2020 – today
- 2023
[j64]Haoyu Ma, Ningning Lu, Junjun Mei, Tao Guan, Yu Zhang, Xin Geng:
Label distribution learning for scene text detection. Frontiers Comput. Sci. 17(6): 176339 (2023)- [j63]Jin Yuan, Yao Zhang, Zhongchao Shi, Xin Geng, Jianping Fan, Yong Rui:
Balanced masking strategy for multi-label image classification. Neurocomputing 522: 64-72 (2023) - [j62]Ning Xu
, Jun Shu, RenYi Zheng, Xin Geng, Deyu Meng, Min-Ling Zhang:
Variational Label Enhancement. IEEE Trans. Pattern Anal. Mach. Intell. 45(5): 6537-6551 (2023) - [j61]Xingyu Zhao, Yuexuan An, Ning Xu, Xin Geng:
Continuous label distribution learning. Pattern Recognit. 133: 109056 (2023) - [j60]Chao Tan, Sheng Chen, Xin Geng, Genlin Ji:
A label distribution manifold learning algorithm. Pattern Recognit. 135: 109112 (2023) - [j59]Zihan Chen, Hongyuan Zhu, Hao Cheng, Siya Mi, Yu Zhang, Xin Geng:
LPCL: Localized prominence contrastive learning for self-supervised dense visual pre-training. Pattern Recognit. 135: 109185 (2023) - [j58]Chao Tan, Sheng Chen, Xin Geng, Genlin Ji:
A Novel Label Enhancement Algorithm Based on Manifold Learning. Pattern Recognit. 135: 109189 (2023) - [j57]Lei Qi, Jiaqi Liu, Lei Wang, Yinghuan Shi, Xin Geng:
Unsupervised generalizable multi-source person re-identification: A Domain-specific adaptive framework. Pattern Recognit. 140: 109546 (2023) - [j56]Ke Wang, Ning Xu, Miaogen Ling, Xin Geng:
Fast Label Enhancement for Label Distribution Learning. IEEE Trans. Knowl. Data Eng. 35(2): 1502-1514 (2023) - [j55]Jing Wang, Xin Geng:
Label Distribution Learning by Exploiting Label Distribution Manifold. IEEE Trans. Neural Networks Learn. Syst. 34(2): 839-852 (2023) - [i33]Hua Yuan, Ning Xu, Yu Shi, Xin Geng, Yong Rui:
Learning From Biased Soft Labels. CoRR abs/2302.08155 (2023) - [i32]Yu Shi, Ning Xu, Hua Yuan, Xin Geng:
Unreliable Partial Label Learning with Recursive Separation. CoRR abs/2302.09891 (2023) - [i31]Zhiqiang Kou, Yuheng Jia, Xin Geng:
Inaccurate Label Distribution Learning. CoRR abs/2302.13000 (2023) - [i30]Tiankai Hang, Shuyang Gu, Chen Li, Jianmin Bao, Dong Chen, Han Hu, Xin Geng, Baining Guo:
Efficient Diffusion Training via Min-SNR Weighting Strategy. CoRR abs/2303.09556 (2023) - [i29]Zhiqiang Kou, Yuheng Jia, Jing Wang, Boyu Shi, Xin Geng:
Data Augmentation For Label Enhancement. CoRR abs/2303.11698 (2023) - [i28]Lei Qi, Dongjia Zhao, Yinghuan Shi, Xin Geng:
Patch-aware Batch Normalization for Improving Cross-domain Robustness. CoRR abs/2304.02848 (2023) - [i27]Qiufeng Wang, Xu Yang, Shuxia Lin, Xin Geng:
Learngene: Inheriting Condensed Knowledge from the Ancestry Model to Descendant Models. CoRR abs/2305.02279 (2023) - [i26]Shiyu Xia, Jiaqi Lv, Ning Xu, Gang Niu, Xin Geng:
Towards Effective Visual Representations for Partial-Label Learning. CoRR abs/2305.06080 (2023) - 2022
- [j54]Yi Ren, Ning Xu, Miaogen Ling, Xin Geng:
Label distribution for multimodal machine learning. Frontiers Comput. Sci. 16(1): 161306 (2022) - [j53]Hongsheng Xu, Zihan Chen, Yu Zhang, Xin Geng, Siya Mi, Zhihong Yang:
Weakly supervised temporal action localization with proxy metric modeling. Frontiers Comput. Sci. 17(2): 172309 (2022) - [j52]Xin Geng, Xiaomeng Guo, Guang Xiao:
Impact of Social Interactions on Duopoly Competition with Quality Considerations. Manag. Sci. 68(2): 941-959 (2022) - [j51]Lingxiu Dong, Xin Geng, Guang Xiao, Nan Yang:
Procurement Strategies with Unreliable Suppliers Under Correlated Random Yields. Manuf. Serv. Oper. Manag. 24(1): 179-195 (2022) - [j50]Xin Geng, Xin Qian, Zeng-Wei Huo, Yu Zhang:
Head Pose Estimation Based on Multivariate Label Distribution. IEEE Trans. Pattern Anal. Mach. Intell. 44(4): 1974-1991 (2022) - [j49]Kate Smith-Miles, Xin Geng:
Revisiting Facial Age Estimation With New Insights From Instance Space Analysis. IEEE Trans. Pattern Anal. Mach. Intell. 44(5): 2689-2697 (2022) - [j48]Xin Geng, RenYi Zheng, Jiaqi Lv, Yu Zhang:
Multilabel Ranking With Inconsistent Rankers. IEEE Trans. Pattern Anal. Mach. Intell. 44(9): 5211-5224 (2022) - [j47]Jing Wang, Xin Geng, Hui Xue:
Re-Weighting Large Margin Label Distribution Learning for Classification. IEEE Trans. Pattern Anal. Mach. Intell. 44(9): 5445-5459 (2022) - [j46]Minxue Zhang, Ning Xu, Xin Geng:
Feature-Induced Label Distribution for Learning with Noisy Labels. Pattern Recognit. Lett. 155: 107-113 (2022) - [j45]Jin Shi, Xin Geng, Shaocheng Yan, Kai Xu, Yanyun Chen:
An Approach to Achieving Multiple Mutual Coupling Nulls in MIMO Stacked Patch Antenna for Decoupling Bandwidth Enhancement. IEEE Trans. Circuits Syst. II Express Briefs 69(12): 4809-4813 (2022) - [j44]Lei Qi, Lei Wang, Jing Huo, Yinghuan Shi, Xin Geng, Yang Gao:
Adversarial Camera Alignment Network for Unsupervised Cross-Camera Person Re-Identification. IEEE Trans. Circuits Syst. Video Technol. 32(5): 2921-2936 (2022) - [j43]Chao Tan, Sheng Chen, Genlin Ji, Xin Geng:
Multilabel Distribution Learning Based on Multioutput Regression and Manifold Learning. IEEE Trans. Cybern. 52(6): 5064-5078 (2022) - [j42]Lei Qi, Jiaying Shen, Jiaqi Liu, Yinghuan Shi, Xin Geng:
Label Distribution Learning for Generalizable Multisource Person Re-Identification. IEEE Trans. Inf. Forensics Secur. 17: 3139-3150 (2022) - [j41]Chao Tan, Sheng Chen, Genlin Ji, Xin Geng:
A Novel Probabilistic Label Enhancement Algorithm for Multi-Label Distribution Learning. IEEE Trans. Knowl. Data Eng. 34(11): 5098-5113 (2022) - [c74]Qiu-Feng Wang, Xin Geng, Shuxia Lin, Shiyu Xia, Lei Qi, Ning Xu:
Learngene: From Open-World to Your Learning Task. AAAI 2022: 8557-8565 - [c73]Ziyang Gao, Yaping Yan, Xin Geng:
Learning from Noisy Labels via Meta Credible Label Elicitation. ICIP 2022: 1391-1395 - [c72]Shiyu Xia, Jiaqi Lv, Ning Xu, Xin Geng:
Ambiguity-Induced Contrastive Learning for Instance-Dependent Partial Label Learning. IJCAI 2022: 3615-3621 - [c71]Xingyu Zhao, Yuexuan An, Ning Xu, Xin Geng:
Fusion Label Enhancement for Multi-Label Learning. IJCAI 2022: 3773-3779 - [c70]Jin Yuan, Feng Hou, Yangzhou Du, Zhongchao Shi, Xin Geng, Jianping Fan, Yong Rui:
Self-Supervised Graph Neural Network for Multi-Source Domain Adaptation. ACM Multimedia 2022: 3907-3916 - [c69]Ning Xu, Congyu Qiao, Jiaqi Lv, Xin Geng, Min-Ling Zhang:
One Positive Label is Sufficient: Single-Positive Multi-Label Learning with Label Enhancement. NeurIPS 2022 - [i25]Wenyan Pan, Zhili Zhou, Miaogen Ling, Xin Geng, Q. M. Jonathan Wu:
Learning Hierarchical Graph Representation for Image Manipulation Detection. CoRR abs/2201.05730 (2022) - [i24]Lei Qi, Lei Wang, Yinghuan Shi, Xin Geng:
A Novel Mix-normalization Method for Generalizable Multi-source Person Re-identification. CoRR abs/2201.09846 (2022) - [i23]Jin Yuan, Shikai Chen, Yao Zhang, Zhongchao Shi, Xin Geng, Jianping Fan, Yong Rui:
Graph Attention Transformer Network for Multi-Label Image Classification. CoRR abs/2203.04049 (2022) - [i22]Congyu Qiao, Ning Xu, Xin Geng:
Decomposition-based Generation Process for Instance-Dependent Partial Label Learning. CoRR abs/2204.03845 (2022) - [i21]Jin Yuan, Feng Hou, Yangzhou Du, Zhongchao Shi, Xin Geng, Jianping Fan, Yong Rui:
Self-Supervised Graph Neural Network for Multi-Source Domain Adaptation. CoRR abs/2204.05104 (2022) - [i20]Lei Qi, Jiaying Shen, Jiaqi Liu, Yinghuan Shi, Xin Geng:
Label Distribution Learning for Generalizable Multi-source Person Re-identification. CoRR abs/2204.05903 (2022) - [i19]Ning Xu, Congyu Qiao, Jiaqi Lv, Xin Geng, Min-Ling Zhang:
One Positive Label is Sufficient: Single-Positive Multi-Label Learning with Label Enhancement. CoRR abs/2206.00517 (2022) - [i18]Ning Xu, Jiaqi Lv, Biao Liu, Congyu Qiao, Xin Geng:
Progressive Purification for Instance-Dependent Partial Label Learning. CoRR abs/2206.00830 (2022) - [i17]Tiankai Hang, Huan Yang, Bei Liu, Jianlong Fu, Xin Geng, Baining Guo:
Language-Guided Face Animation by Recurrent StyleGAN-based Generator. CoRR abs/2208.05617 (2022) - [i16]Lei Qi, Hongpeng Yang, Yinghuan Shi, Xin Geng:
MultiMatch: Multi-task Learning for Semi-supervised Domain Generalization. CoRR abs/2208.05853 (2022) - 2021
- [j40]Huiying Zhang, Yu Zhang, Xin Geng:
Practical age estimation using deep label distribution learning. Frontiers Comput. Sci. 15(3): 153318 (2021) - [j39]Jiaqi Lv, Tianran Wu, Cheng-Lun Peng, Yunpeng Liu, Ning Xu, Xin Geng:
Compact learning for multi-label classification. Pattern Recognit. 113: 107833 (2021) - [j38]Ning Xu, Yun-Peng Liu, Xin Geng:
Label Enhancement for Label Distribution Learning. IEEE Trans. Knowl. Data Eng. 33(4): 1632-1643 (2021) - [j37]Min-Ling Zhang, Qian-Wen Zhang, Jun-Peng Fang, Yu-Kun Li, Xin Geng:
Leveraging Implicit Relative Labeling-Importance Information for Effective Multi-Label Learning. IEEE Trans. Knowl. Data Eng. 33(5): 2057-2070 (2021) - [j36]Haitao Zhang, Xin Geng, Huadong Ma:
Learning-Driven Interference-Aware Workload Parallelization for Streaming Applications in Heterogeneous Cluster. IEEE Trans. Parallel Distributed Syst. 32(1): 1-15 (2021) - [c68]Jing Wang, Xin Geng:
Label Distribution Learning Machine. ICML 2021: 10749-10759 - [c67]Yongbiao Gao, Ning Xu, Xin Geng:
Video Summarization via Label Distributions Dual-Reward. IJCAI 2021: 2403-2409 - [c66]Jing Wang, Xin Geng:
Learn the Highest Label and Rest Label Description Degrees. IJCAI 2021: 3097-3103 - [c65]Ning Xu, Congyu Qiao, Xin Geng, Min-Ling Zhang:
Instance-Dependent Partial Label Learning. NeurIPS 2021: 27119-27130 - [c64]Xin Geng:
Unleash the Power of Label Space: Label Enhancement for Label Distribution Learning. WI/IAT 2021: 7 - [i15]Hao Yang, Youzhi Jin, Ziyin Li, Deng-Bao Wang, Lei Miao, Xin Geng, Min-Ling Zhang:
Learning from Noisy Labels via Dynamic Loss Thresholding. CoRR abs/2104.02570 (2021) - [i14]Jiaqi Lv, Lei Feng, Miao Xu, Bo An, Gang Niu, Xin Geng, Masashi Sugiyama:
On the Robustness of Average Losses for Partial-Label Learning. CoRR abs/2106.06152 (2021) - [i13]Qiufeng Wang, Xin Geng, Shuxia Lin, Shiyu Xia, Lei Qi, Ning Xu:
Learngene: From Open-World to Your Learning Task. CoRR abs/2106.06788 (2021) - [i12]Ning Xu, Congyu Qiao, Xin Geng, Min-Ling Zhang:
Instance-Dependent Partial Label Learning. CoRR abs/2110.12911 (2021) - [i11]Boyu Zhang, Jiayuan Chen, Yinfei Xu, Hui Zhang, Xu Yang, Xin Geng:
Auto-Encoding Score Distribution Regression for Action Quality Assessment. CoRR abs/2111.11029 (2021) - [i10]Lei Qi, Lei Wang, Yinghuan Shi, Xin Geng:
Unsupervised Domain Generalization for Person Re-identification: A Domain-specific Adaptive Framework. CoRR abs/2111.15077 (2021) - 2020
- [j35]Xin Geng, Haitao Zhang, Zhengyang Zhao, Huadong Ma:
Interference-aware parallelization for deep learning workload in GPU cluster. Clust. Comput. 23(4): 2689-2702 (2020) - [j34]Junjie Wu, Su Chen, Xin Geng:
The effect of entrepreneurial social capital on dynamic capability: the moderating role of the entrepreneurial spirit. Int. J. Wirel. Mob. Comput. 19(4): 367-375 (2020) - [j33]Yu Zhang, Siya Mi, Jianxin Wu, Xin Geng:
Simultaneous 3D hand detection and pose estimation using single depth images. Pattern Recognit. Lett. 140: 43-48 (2020) - [c63]Ning Xu, Yun-Peng Liu, Xin Geng:
Partial Multi-Label Learning with Label Distribution. AAAI 2020: 6510-6517 - [c62]Shikai Chen, Jianfeng Wang, Yuedong Chen, Zhongchao Shi, Xin Geng, Yong Rui:
Label Distribution Learning on Auxiliary Label Space Graphs for Facial Expression Recognition. CVPR 2020: 13981-13990 - [c61]Jiaqi Lv, Miao Xu, Lei Feng, Gang Niu, Xin Geng, Masashi Sugiyama:
Progressive Identification of True Labels for Partial-Label Learning. ICML 2020: 6500-6510 - [c60]Ning Xu, Jun Shu, Yun-Peng Liu, Xin Geng:
Variational Label Enhancement. ICML 2020: 10597-10606 - [c59]Yun-Peng Liu, Ning Xu, Yu Zhang, Xin Geng:
Label Distribution for Learning with Noisy Labels. IJCAI 2020: 2568-2574 - [c58]Yongbiao Gao, Yu Zhang, Xin Geng:
Label Enhancement for Label Distribution Learning via Prior Knowledge. IJCAI 2020: 3223-3229 - [c57]Lei Feng, Jiaqi Lv, Bo Han, Miao Xu, Gang Niu, Xin Geng, Bo An, Masashi Sugiyama:
Provably Consistent Partial-Label Learning. NeurIPS 2020 - [i9]Jiaqi Lv, Miao Xu, Lei Feng, Gang Niu, Xin Geng, Masashi Sugiyama:
Progressive Identification of True Labels for Partial-Label Learning. CoRR abs/2002.08053 (2020) - [i8]Bin-Bin Gao, Xinxin Liu, Hong-Yu Zhou, Jianxin Wu, Xin Geng:
Learning Expectation of Label Distribution for Facial Age and Attractiveness Estimation. CoRR abs/2007.01771 (2020) - [i7]Lei Feng, Jiaqi Lv, Bo Han, Miao Xu, Gang Niu, Xin Geng, Bo An, Masashi Sugiyama:
Provably Consistent Partial-Label Learning. CoRR abs/2007.08929 (2020) - [i6]Jiaqi Lv, Tianran Wu, Cheng-Lun Peng, Yunpeng Liu, Ning Xu, Xin Geng:
Compact Learning for Multi-Label Classification. CoRR abs/2009.08607 (2020)
2010 – 2019
- 2019
- [j32]Dan Zhang, Yinghong Wen, Jinbao Zhang, Jianjun Xiao, Dong Liu, Xin Geng:
Coupling Analysis for Shielded Cables in the Train Using Hybrid Method. IEEE Access 7: 76022-76029 (2019) - [j31]Miaogen Ling, Xin Geng:
Soft video parsing by label distribution learning. Frontiers Comput. Sci. 13(2): 302-317 (2019) - [j30]Huiqi Guan, Haresh Gurnani, Xin Geng, Yadong Luo:
Strategic Inventory and Supplier Encroachment. Manuf. Serv. Oper. Manag. 21(3): 536-555 (2019) - [j29]Huiying Zhang, Xin Geng, Yu Zhang, Fanyong Cheng:
Recurrent age estimation. Pattern Recognit. Lett. 125: 271-277 (2019) - [j28]Miaogen Ling, Xin Geng:
Indoor Crowd Counting by Mixture of Gaussians Label Distribution Learning. IEEE Trans. Image Process. 28(11): 5691-5701 (2019) - [c56]Kai Su, Xin Geng:
Soft Facial Landmark Detection by Label Distribution Learning. AAAI 2019: 5008-5015 - [c55]Jing Wang, Xin Geng:
Theoretical Analysis of Label Distribution Learning. AAAI 2019: 5256-5263 - [c54]Changdong Xu, Xin Geng:
Hierarchical Classification Based on Label Distribution Learning. AAAI 2019: 5533-5540 - [c53]Ning Xu, Jiaqi Lv, Xin Geng:
Partial Label Learning via Label Enhancement. AAAI 2019: 5557-5564 - [c52]Kai Su, Dongdong Yu, Zhenqi Xu, Xin Geng, Changhu Wang:
Multi-Person Pose Estimation With Enhanced Channel-Wise and Spatial Information. CVPR 2019: 5674-5682 - [c51]Zhengjun Xu, Haitao Zhang, Xin Geng, Qiong Wu, Huadong Ma:
Adaptive Function Launching Acceleration in Serverless Computing Platforms. ICPADS 2019: 9-16 - [c50]Jiaqi Lv, Ning Xu, RenYi Zheng, Xin Geng:
Weakly Supervised Multi-Label Learning via Label Enhancement. IJCAI 2019: 3101-3107 - [c49]Jing Wang, Xin Geng:
Classification with Label Distribution Learning. IJCAI 2019: 3712-3718 - [c48]Ke Wang, Xin Geng:
Discrete Binary Coding based Label Distribution Learning. IJCAI 2019: 3733-3739 - [c47]Zhengyang Zhao, Haitao Zhang, Xin Geng, Huadong Ma:
Resource-Aware Cache Management for In-Memory Data Analytics Frameworks. ISPA/BDCloud/SocialCom/SustainCom 2019: 364-371 - [i5]Kai Su, Dongdong Yu, Zhenqi Xu, Xin Geng, Changhu Wang:
Multi-Person Pose Estimation with Enhanced Channel-wise and Spatial Information. CoRR abs/1905.03466 (2019) - [i4]Dongdong Yu, Kai Su, Xin Geng, Changhu Wang:
A Context-and-Spatial Aware Network for Multi-Person Pose Estimation. CoRR abs/1905.05355 (2019) - 2018
- [j27]Min-Ling Zhang, Yu-Kun Li, Xu-Ying Liu, Xin Geng:
Binary relevance for multi-label learning: an overview. Frontiers Comput. Sci. 12(2): 191-202 (2018) - [j26]Laila Rasmy, Yonghui Wu, Ningtao Wang, Xin Geng, W. Jim Zheng, Fei Wang, Hulin Wu, Hua Xu, Degui Zhi:
A study of generalizability of recurrent neural network-based predictive models for heart failure onset risk using a large and heterogeneous EHR data set. J. Biomed. Informatics 84: 11-16 (2018) - [c46]Ruifeng Shao, Ning Xu, Xin Geng:
Multi-label Learning with Label Enhancement. ICDM 2018: 437-446 - [c45]Haitao Zhang, Bingchang Tang, Xin Geng, Huadong Ma:
Learning Driven Parallelization for Large-Scale Video Workload in Hybrid CPU-GPU Cluster. ICPP 2018: 32:1-32:10 - [c44]Bin-Bin Gao, Hong-Yu Zhou, Jianxin Wu, Xin Geng:
Age Estimation Using Expectation of Label Distribution Learning. IJCAI 2018: 712-718 - [c43]Cheng-Lun Peng, An Tao, Xin Geng:
Label Embedding Based on Multi-Scale Locality Preservation. IJCAI 2018: 2623-2629 - [c42]Ke Wang, Xin Geng:
Binary Coding based Label Distribution Learning. IJCAI 2018: 2783-2789 - [c41]Ning Xu, An Tao, Xin Geng:
Label Enhancement for Label Distribution Learning. IJCAI 2018: 2926-2932 - [c40]An Tao, Ning Xu, Xin Geng:
Labeling Information Enhancement for Multi-label Learning with Low-Rank Subspace. PRICAI (1) 2018: 671-683 - [e2]Xin Geng, Byeong-Ho Kang:
PRICAI 2018: Trends in Artificial Intelligence - 15th Pacific Rim International Conference on Artificial Intelligence, Nanjing, China, August 28-31, 2018, Proceedings, Part I. Lecture Notes in Computer Science 11012, Springer 2018, ISBN 978-3-319-97303-6 [contents] - [e1]Xin Geng, Byeong-Ho Kang:
PRICAI 2018: Trends in Artificial Intelligence - 15th Pacific Rim International Conference on Artificial Intelligence, Nanjing, China, August 28-31, 2018, Proceedings, Part II. Lecture Notes in Computer Science 11013, Springer 2018, ISBN 978-3-319-97309-8 [contents] - 2017
- [j25]Hao Zheng, Xin Geng:
Facial expression recognition via weighted group sparsity. Frontiers Comput. Sci. 11(2): 266-275 (2017) - [j24]Bin-Bin Gao, Chao Xing, Chen-Wei Xie, Jianxin Wu, Xin Geng:
Deep Label Distribution Learning With Label Ambiguity. IEEE Trans. Image Process. 26(6): 2825-2838 (2017) - [j23]Zhouzhou He, Xi Li, Zhongfei Zhang, Fei Wu, Xin Geng, Yaqing Zhang, Ming-Hsuan Yang, Yueting Zhuang:
Data-Dependent Label Distribution Learning for Age Estimation. IEEE Trans. Image Process. 26(8): 3846-3858 (2017) - [c39]Xin Geng, Miaogen Ling:
Soft Video Parsing by Label Distribution Learning. AAAI 2017: 1331-1337 - [c38]Peng Hou, Xin Geng, Zeng-Wei Huo, Jiaqi Lv:
Semi-Supervised Adaptive Label Distribution Learning for Facial Age Estimation. AAAI 2017: 2015-2021 - [c37]Zeng-Wei Huo, Xin Geng:
Ordinal Zero-Shot Learning. IJCAI 2017: 1916-1922 - [c36]Yi Ren, Xin Geng:
Sense Beauty by Label Distribution Learning. IJCAI 2017: 2648-2654 - [c35]Xin Geng, Yinghong Wen, Jinbao Zhang:
An approach to evaluating digital transmission under electromagnetic disturbance using joint statistical parameters. ITST 2017: 1-5 - [i3]Ruifeng Shao, Xin Geng, Ning Xu:
Multi-Label Learning with Label Enhancement. CoRR abs/1706.08323 (2017) - 2016
- [j22]Xin Geng, Jiaogen Zhou, Jihong Guan:
Side-chain dynamics analysis of KE07 series. Comput. Biol. Chem. 65: 148-153 (2016) - [j21]Hao Zheng, Xin Geng, Dacheng Tao, Zhong Jin:
A multi-task model for simultaneous face identification and facial expression recognition. Neurocomputing