[Biography] [Research] [News] [Publications] [Services] [Group] [Academic]
Short Biography
Weicheng Xie is currently an Associate Professor in College of Computer Science and Software Engineering, Shenzhen University. He received the B.E. degree in Statistics from Central China Normal University in June 2008, and the Ph.D. degree in Computational Mathematics from Wuhan University in June 2013. Before joining Shenzhen University, he was a Visiting Scholar in the School of Computer Science, The University of Nottingham, UK, and a Postdoctor in the Computer Vision group with Prof. Linlin Shen, Shenzhen University. He is now heading the Facial Expression Analysis research group in Shenzhen University. He is a member of IEEE, CCF, and CAAI.
Major Honors/Awards
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2017 Shenzhen Reserve Talents Award (深圳市后备级人才)
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2018 Shenzhen Nanshan District Pilot Talent Award (深圳市南山区“领航人才”)
Research Interests
Facial expression analysis, Deep learning, Deep metric learning, and Machine Learning
Openings: I’d like to work with both undergraduate and postgraduate students. Our lab also hires postdoctor to do research on deep learning, machine learning and face and facial expression analysis, medical image processing and analysis. Please feel free to contact me if you are interested.
[招新] 欢迎对我们工作感兴趣的研究生新生和本科生加入我们的研究小组。
[招聘] 深圳大学计算机视觉所招收博士后,欢迎咨询。
Recent News
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2024.10 - Our paper "ReactFace: Online Multiple Appropriate Facial Reaction Generation in Dyadic Interactions" has been accepted by
TVCG. Congrats to Cheng Luo.
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2024.09 - Our paper "Towards Combating Frequency Simplicity-biased Learning for Domain Generalization" has been accepted by
NeurIPS'24. Congrats to Xilin.
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2024.08 - Our paper "Generative imperceptible attack with feature learning bias reduction and multi-scale variance regularization" has been accepted by
T-IFS'24. Congrats to Zenghao Niu.
2024.07 - We won The Second-Place Winner in Challenge: Automatic Recognition of Micro Expressions organized by The 4th Chinese Conference on Affective Computing in CCAC'2024. Congrats to Zihan Wang, Hang Xiao, Weijia Fan, Siyang Song, Weicheng Xie, Linlin Shen
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2024.07 - We won The Sixth-Place Winner in Challenge: Black-box Adversarial Attacks on Vision Foundation Models organized by The 4th Workshop of Adversarial Machine Learning on Computer
Vision: Robustness of Foundation Models in CVPR'2024. Congrats to Zenghao Niu, Qinliang Lin, Xilin He, Cheng Luo, Weicheng Xie, Siyang Song, Linlin Shen
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2024.07 - Our paper "MTaDCS: Moving Trace and Feature Density-based Confidence Sample Selection under Label Noise" has been accepted by
ECCV'24. Congrats to Qingzheng and Xilin.
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2024.02 - Our paper "Cross-layer Contrastive Learning of Latent Semantics for Facial Expression Recognition" has been accepted by
TIP'24. Congrats to Zhibin Peng.
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2023.12 - Our paper "Network Characteristics Adaption and Hierarchical Feature Exploration for Robust Object Recognition" has been accepted by
PR'24. Congrats to Cheng Luo.
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2023.12 - Our papers "GUIDED CIRCULAR DECOMPOSITION AND CROSS-MODAL RECOMBINATION FOR MULTIMODAL SENTIMENT ANALYSIS", "Scale-free and Task-generic Attack: Generating Photo-realistic Adversarial Patterns with Patch Quilting Generator" and "MERG: Multi-dimensional Edge Representation Generation Layer for Graph Neural Networks" have been accepted by
ICASSP'24. Congrats to Haijian Liang, Xiangbo Gao, Yuxin Song.
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2023.12 - Our paper "Boosting Adversarial Transferability across Model Genus by Deformation-Constrained Warping" has been accepted by
AAAI'24. Congrats to Qinliang Lin and Cheng Luo.
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2023.07 - Our paper "Shift from texture-bias to shape-bias: edge deformation-based augmentation for robust object recognition" has been accepted by
ICCV'23. Congrats to Xilin He.
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2023.06 - Our paper "Consistency Preservation and Feature Entropy Regularization for GAN based Face Editing" has been accepted by
TMM. Congrats to Wenya Lu.
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2022.04 - Our paper "Learning Multi-dimensional Edge Feature-based AU Relation Graph for Facial Action Unit Recognition" has been accepted by
IJCAI. Congrats to Cheng Luo and Dr. Siyang Song.
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2022.03 - Our papers "Scene Consistency Representation Learning for Video Scene Segmentation" and "Frequency-driven Imperceptible Adversarial Attack on Semantic Similarity" have been accepted by
CVPR. Congrats to Haoqian, Cheng Luo and Qinliang.
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2021.09 - Selected as the best reviewer of CCBR 2021.
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2021.07 - Our paper "Group-wise Inhibition based Feature Regularization for Robust Classification" has been accepted by
ICCV. Congrats to Haozhe and Haoqian.
Selected Publications
See the Full List or Google Scholar.
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[TVCG'24] Cheng Luo, Siyang Song*,
Weicheng Xie*, Micol Spitale, Zongyuan Ge, Linlin Shen and Hatice Gunes.
ReactFace: Online Multiple Appropriate Facial Reaction Generation in Dyadic Interactions,
IEEE Transactions on Visualization and Computer Graphics, 2024.
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[NeurIPS'24] Xilin He, Jingyu Hu, Qinliang Lin, Cheng Luo,
Weicheng Xie*, Siyang Song, Muhammad Haris Khan, Linlin Shen.
Towards Combating Frequency Simplicity-biased Learning for Domain Generalization,
The Thirty-eighth Annual Conference on Neural Information Processing Systems, 2024.
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[T-IFS'24] Weicheng Xie, Zenghao Niu, Qinliang Lin, Siyang Song, Linlin Shen*.
Generative imperceptible attack with feature learning bias reduction and multi-scale variance regularization,
IEEE Transactions on Information Forensics and Security, 2024.
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[ECCV'24] Qingzheng Huang#, Xilin He#, Xiaole Xian, Qinliang Lin,
Weicheng Xie*, Siyang Song, Linlin Shen, Zitong Yu.
MTaDCS: Moving Trace and Feature Density-based Confidence Sample Selection under Label Noise,
European Conference on Computer Vision, 2024.
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[TIP'24] Weicheng Xie, Zhibin Peng, Linlin Shen*, Wenya Lu, Yang Zhang, Siyang Song.
Cross-layer Contrastive Learning of Latent Semantics for Facial Expression Recognition,
IEEE Transactions on Image Processing, 2024.
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[PR'24] Weicheng Xie, Cheng Luo, Gui Wang, Linlin Shen*, Zhihui Lai, Siyang Song.
Network characteristics adaption and hierarchical feature exploration for robust object recognition,
Pattern Recognition, 2024.
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[AAAI'24] Qinliang Lin#, Cheng Luo#, Zenghao Niu, Xilin He,
Weicheng Xie*, Yuanbo Hou, Linlin Shen, Siyang Song.
Boosting Adversarial Transferability across Model Genus by Deformation-Constrained Warping,
AAAI Conference on Artificial Intelligence, 2024.
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[ICCV'23] Xilin He, Qinliang Lin, Cheng Luo,
Weicheng Xie*, Siyang Song, Feng Liu, Linlin Shen.
Shift from texture-bias to shape-bias: edge deformation-based augmentation for robust object recognition,
International Conference on Computer Vision, 2023.
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[TMM'23] Weicheng Xie, Wenya Lu, Zhibin Peng, Linlin Shen*.
Consistency Preservation and Feature Entropy Regularization for GAN based Face Editing,
IEEE Transactions on Multimedia, 2023.
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[IJCAI'22] Cheng Luo#, Siyang Song#,
Weicheng Xie*, Linlin Shen, Hatice Gunes.
Learning Multi-dimensional Edge Feature-based AU Relation Graph for Facial Action Unit Recognition,
International Joint Conference on Artificial Intelligence, 2022.
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[CVPR'22] Haoqian Wu#, Keyu Chen#, Yanan Luo, Ruizhi Qiao, Bo Ren, Haozhe Liu,
Weicheng Xie*, Linlin Shen.
Scene Consistency Representation Learning for Video Scene Segmentation,
IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2022.
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[CVPR'22] Cheng Luo#, Qinliang Lin#,
Weicheng Xie*, Bizhu Wu, Jinheng Xie, Linlin Shen.
Frequency-driven Imperceptible Adversarial Attack on Semantic Similarity,
IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2022.
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[ICCV'21] Haozhe Liu#, Haoqian Wu#,
Weicheng Xie*, Feng Liu*, Linlin Shen.
Group-wise Inhibition based Feature Regularization for Robust Classification,
International Conference on Computer Vision, Online virtually, October, 2021.
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Grant
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PI, General Project of National Natural Science Foundation of China, 2023. (国家自然科学委面上项目)
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PI, Youth Project of National Natural Science Foundation of China, 2017. (国家自然科学委青年基金)
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PI, China Postdoctoral Science Foundation, 2015. (博士后基金)
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PI, Guangdong Basic and Applied Basic Research Foundation, 2022. (广东省自然科学基金-面上项目)
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PI, Guangdong Basic and Applied Basic Research Foundation, 2019. (广东省自然科学基金-面上项目)
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PI, Special Foundation for Basic Research of Shenzhen (Natural Science Foundation), 2019. (深圳市基础研究专项)
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PI, Shenzhen Institute of Artificial Intelligence and Robotics, 2019. (深圳市人工智能与机器人研究院合作项目)
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PI, Award of Tencent "Rhinoceros Birds" - Scientific Research Foundation for Young Teachers of Shenzhen University, 2018. (腾讯“犀牛鸟”-深圳大学青年教师科研基金项目)
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PI, Natural Science Foundation of SZU, 2018. (深圳大学新引进教师科研启动项目)
Professional Services
Teaching Experiences
- Recent courses I teach at Shenzhen University:
- Machine Learning and Artificial Intelligence, 2023 - Now
- Computer Vision, 2017 - Now
- Pattern Recognition, 2017- Now
- Introduction of deep learning technology, 2022- Now
- Mobile Internet Programming, 2020 - Now
- Internet Programming (in JAVA), 2017- Now
- University Computer, 2017 - Now
Group Members
- Junliang Zhang(张俊亮), MS, 2022.09 ~
- Haijian Liang(梁海键), MS, 2022.09 ~
- Qingzheng Huang(黄清政), MS, 2022.09 ~
- Zenghao Niu (牛增豪), MS, 2023.09 ~
- Xiaole Xian(冼晓乐), MS, 2023.09 ~
- Hang Xiao(肖航), MS, 2023.09 ~
- Chunlin Yan(颜椿林), MS, 2023.09 ~
- Xu Liu(刘旭), MS, 2023.09 ~
- Yiping Xie(谢怡萍), MS (Co-supervised with Dr. Zitong Yu at Great Bay University), 2023.09 ~
- Liangqiu Xiao(萧亮秋), MS, 2024.09 ~
- Gengfeng Chen(陈耿丰), MS, 2024.09 ~
- Boyi Peng(彭博溢), MS, 2024.09 ~
Graduated students:
- Yi Tian (田怡), MS, 2017-2020 (papers: ICIP'19, TCSVT'21, now in Shenzhen Wiener Integrated Circuit and System Application Research Institute)
- Zhiwei Wen (温志威), MS, 2018-2021 (paper: AAAI'20, ICPR'20, ACPR'19, now in Zhuhai Public Security Bureau)
- Zhiwei Ke(柯志伟), MS, 2018-2021 (paper: AAAI'20, AAAI'21, now in Shenzhen Securities Information Co. LTD)
- Haoqian Wu(吴昊谦), MS, 2019-2022 (paper: TCSVT'21, ICCV'21, CVPR'22, now in Tencent)
- Cheng Luo(罗成), MS, 2020-2023 (paper: CVPR'22, IJCAI'22, ICCV'21, AAAI'24, PR'24 now in Monash University for Ph.D.)
- Wenya Lu(路文雅), MS, 2020-2023 (paper: TMM'23, ICIP'23, now in A middle school teacher in Longgang district, Shenzhen)
- Qinliang Lin(林钦亮), MS, 2021-2024 (paper: CVPR'22, AAAI'24 now in Huawei)
- Zhibin Peng(彭智彬), MS, 2021-2024 (paper: TIP'24 now in Ubtrobot)
- Tao Zhong(钟韬), MS, 2021-2024 (paper: FG'24 now in Huawei)
- Fan Yang(杨凡), MS, 2021-2024 (paper: CCBR'22 now in Huawei)
- Jingyu Hu(胡靖宇), MS, 2021-2024 (paper: ICVISP'23 now in Tencent)
Intern:
- Xiangbo Gao (高祥博), BS, From April 30, 2021 to August 30, 2021 (paper: ICASSP'24 now in University of California, Irvine)
- Xilin He (何锡麟), BS, 2022-2024 (paper: ICCV'23 now in Mohamed Bin Zayed University of Artificial Intelligence)
Academic Links
Useful information for conferences of computer science:
Advices from peers/top researches:
© Weicheng Xie 2024 (Updated on 11 January, 2024)