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associate professor liang, yanyan

school of computer science and engineering, faculty of innovation engineering

macau university of science and technology

office: a213

tel.: 853-8897 1997

e-mail: 

• ph.d., 2009, macau university of science and technology, in computer technology and its application.
• m.sc., 2006, macau university of science and technology, in information technology.
• b.eng., 2004, chongqing university of communications and posts, in communication engineering.

• computer organization (undergraduate)
• computer hardware experiment (undergraduate)
• computer architecture (msc in it)
• data mining (msc in it and applied math and data science)
• advanced topic in data science (msc in applied math and data science)
• advanced topic in programming for data science (msc in applied math and data science)

• machine learning, deep learning, image processing, computer vision, artificial intelligence
• computer architeture, parallel computing and distributed computing
• ai chips for big data and machine learning: gpus, fpgas

• 10/2014-present, assistant professor, macau university of science and technology.
• 07/2013-09/2014, research scientist, in faculty of information technology, macau university of science and technology.
• 02/2013-06/2013, part-time associate professor, in college of information technology, beijing normal university, zhuhai campus.
• 11/2010-01/2013, post-doc research fellow, in space science institution, macau university of science and technology.
• 07/2009-10/2010, research assistant, in faculty of information technology, macau university of science and technology.
• 09/2008-06-2009, part-time lecturer, in faculty of information technology, macau university of science and technology.
• 02/2004-07/2004, embedded system r&d engineer, in shenzhen r&d institution, beijing harbour networks ltd.

*corresponding author 通訊作者)

1. xiaoyuan yu, yanyan liang*, xuxin lin, jun wan, tian wang, hong-ning dai. frequency feature pyramid network with global-local consistency loss for crowd and vehicle counting in congested scenes. ieee transactions on intelligent transportation systems. (sci if = 9.551)
2. ajian liu, jun wan, ning jiang, hongbin wang, yanyan liang*. disentangling facial pose and appearance information for face anti-spoofing. (ccf-c) icpr 2022.
3. ajian liu, yanyan liang*, ma-vit: modality-agnostic vision transformers for face anti-spoofing, (ccf-a) ijcai, 2022.
4. ajian liu, chenxu zhao, zitong yu, jun wan, yanyan liang, guodong guo, stan z. li, hifimask: contrastive context-aware learning for 3d high-fidelity maskface presentation attack detection, ieee trans. inf. forensics secur. (2022) (sci if = 7.231), 2022.
5. xiaobo wang, shuo wang, yanyan liang*, liang gu, zhen lei. rvface: reliable vector guided softmax loss for face recognition. ieee transactions on image processing. doi: 10.1109/tip.2022.3154293. (sci if = 11.041)
6. xuxin lin, zhu zhenwei, xiaoyuan yu, xiaoyu ji, tao luo, xiangyu xi, menghua zhu, and yanyan liang*. lunar crater detection on digital elevation model: a complete workflow using deep learning and its application. remote sensing 14, no. 3: 621. https://doi.org/10.3390/ rs14030621. (sci if = 5.349)
7. ajian liu, zichang tan, jun wan*, yanyan liang*, zhen lei, guodong guo, stan z. li. face anti-spoofing via adversarial cross-modality translation. ieee trans. inf. forensics secur. 16: 2759-2772 (2021) (sci if = 7.231)
8. benjia zhou, jun wan, yanyan liang, guodong guo, "adaptive cross-fusion learning for multi-modal gesture recognition", virtual reality & intelligent hardware (vrih), 2020.
9. ajian liu, xuan li, jun wan, yanyan liang, sergio escalera, hugo jair escalante, meysam madadi, yi jin, zhuoyuan wu, xiaogang yu, zichang tan, qi yuan, ruikun yang, benjia zhou, guodong guo, stan z. li,, "cross-ethnicity face anti-spoofing recognition challenge: a review", iet biometrics, 2020. (sci if = 2.588)
10. casia-surf: a large-scale multi-modal benchmark for face anti-spoofifing, shifeng zhang, ajian liu, jun wan, yanyan liang, guogong guo, sergio escalera, hugo jair escalante, stan z. li. ieee transactions on biometrics, behavior, and identity science. 2(2): 182-193 (2020)
11. xuxin lin, yanyan liang*, jun wan, chi lin, stan z. li. region-based context enhanced network for robust multiple face alignment. ieee transactions on multimedia, 2019, 21(12): 3053-3067. (sci if = 8.182)
12. xuxin lin, jun wan, yiliang xie, shifeng zhang, chi lin, yanyan liang*, guodong guo, stan z. li. task-oriented feature-fused network with multi-variate dataset for joint face analysis. ieee transactions on cybernetics, 2020, 50(3): 1292-1305. (sci if = 19.118)
13. tao luo, yanyan liang*, wing-huen ip. efficient starspots reconstruction via light-curve inversion with bipartite regularization. astronomical journal, 2019, 157(6): 157-238. (sci if = 5.491)
14. haozhi huang, yanyan liang*, learning robust embedding representations with hybrid loss for both classification and verification, ieee access 2019, 7: 13643 - 13652. (sci if = 4.098)
15. haozhi huang, yanyan liang*. constrained loss function for classification problems, computer vision conference (cvc) 2019.
16. chi lin, xuxin lin, yiliang xie, yanyan liang*. abnormal gesture recognition based on multi-model fusion strategy. machine vision and applications, 2019, 30(5): 889-900. (sci if = 1.788)
17. ruifeng zhao, ajian liu, yanyan liang*, haozhi huang. person re-identification via feature representation learning based on verification sample constrain. icmlc 2019: 1-7
18. chi lin, jun wan, yanyan liang*, stan z. li. large-scale isolated gesture recognition using masked res-c3d network and skeleton lstm, in proceedings of the 13th ieee international conference on automatic face and gesture recognition, (ccf-c) fg 2018.
19. haozhi huang, yanyan liang*, ah chung tsoi, sio-long lo, alex po leung. a novel bagged particle filter for object tracking, acm siggraph vrcai 2016.
20. shuai zhou, yanyan liang, jun wan, stan z. li. facial expression recognition based on multi-scale cnns, in biometric recognition, chinese conference on biometric recognition. springer, cham, 2016: 503-510. lncs 9967.

the team formed by dongxu qi, zhanchuan cai, yanyan liang, jian li and kintak u obtained the 3rd prize of 2012 "natural science award" from science and technology development fund, msar (fdct) with the topic of "theory on non-continuous orthogonal function and its application on the massive data processing".

ieee member (2009 - present)