Professor, IET Fellow

School of Electrical and Information Engineering   电气自动化与信息工程学院
Institute of Television and Image Information, Ministry of Education of  
the People's Republic of China   教育部电视与图像信息研究所
Tianjin University   天津大学

Email: anan0422@gmail.com

Biography

He is the Director of the Institute of Television and Image Information, Ministry of Education of the People's Republic of China. He is currently leading a research team with 4 professors (Yuting Su， Lanjun Wang...), 8 associate professors ( Jing Zhang, Weizhi Nie, Jing Liu, Dan Song, Ning Xu...), 2 assistant professors (Wenhui Li...), 10+ Ph.D. students, 90+ master students.

He has reached impressive achievements for multimedia content analysis, retreival, generation and communication with continuous contributions to cross-media representation learning and understanding, human action recognition, 3D model retrieval and classification, social network analysis, bio-medical image analysis, marine big data analysis by developing algorithms, building new datasets, organizing contests, and build benchmarks. He has published 100+ papers in the first-tier venues. He holds 40+ Chinese and U.S. patents. Many novel techniques have been widely utilized for multimodal big data analysis for social network, smart city, and maritime space.

Openings

I am always looking for talented and self-motivated students to join my research group to work in the fields of multimedia content analysis, retreival, generation and communication.

News

Education & Experience

Chapter (2)

  1. Mitosis detection in biomedical images
    Yao Lu, An-An Liu, Yuting Su, Computer Vision for Microscopy Image Analysis, Chapter 6, Apr. 2021 (ISBN 978-0-12-814972-0).

  2. A Hierarchical Framework for Mitosis Detection in Time-Lapse Phase Contrast Microscopy Image Sequences of Stem Cell Populations
    An-An Liu, Kang Li, Tong Hao Medical Imaging, Chapter 17, Dec. 2011 (ISBN 978-953-307-774-1).

Representative Journal Paper [ For full list, please refer to DBLP]

  1. Hierarchical Clustering Multi-Task Learning for Joint Human Action Grouping and Recognition
    A.-A. Liu*, et al. IEEE Transactions on Pattern Analysis and Machine Intelligence (IEEE T-PAMI), Vol. 39, No.1, pp:102-114, 2017. (ESI 热点；ESI高被引；SCI一区，CCF-A, JCR: 17.73)

  2. Multi-modal clique-graph matching for view-based 3D model retrieval
    A.-A. Liu*, et al. IEEE Transactions on Image Processing (IEEE T-IP), Vol. 25, No. 5, pp. 2103–2116, 2016. (ESI 热点；ESI高被引；SCI一区，CCF-A, JCR: 9.34)

  3. Benchmarking a Multimodal and Multiview and Interactive Dataset for Human Action Recognition
    A.-A. Liu*, et al. IEEE Transactions on Cybernetics (IEEE T-CYB), Vol. 47, No.7, pp:1781-1794,2017.( ESI高被引；SCI一区，JCR: 10.38)

  4. Multipe/Single-View Human Action Recognition via Part-induced Multi-task Structural Learning
    A.-A. Liu*, et al. IEEE Transactions on Cybernetics (IEEE T-CYB), Vol. 45, No. 6, pp. 1194-1208, 2015. (ESI高被引；SCI一区，JCR: 10.38)

  5. Towards Region-Aware Attention Learning for Scene Graph Generation
    A.-A. Liu*, et al. IEEE Transactions on Neural Networks and Learning Systems (IEEE T-NNLS), Vol. 32, No. 6, pp.3685-3696, 2022. (SCI一区，JCR:10.45)

  6. Multi-Domain and Multi-Task Learning for Human Action Recognition
    A.-A. Liu*, et al. IEEE Transactions on Image Processing (IEEE T-IP), Vol. 28, No. 2, pp. 853-867, 2019. (SCI一区，CCF-A, JCR: 9.34)

  7. Domain-Adversarial Guided Siamese Network for Unsupervised Cross-Domain 3D Object Retrieval
    A.-A. Liu, et al. IEEE Transactions on Cybernetics (IEEE T-CYB), Vol. 52, No. 12, pp. 13862-13873, 2022. (SCI一区，JCR: 10.38)

  8. View-Based 3-D Model Retrieval: A Benchmark
    A.-A. Liu*, et al. IEEE Transactions on Cybernetics (IEEE T-CYB), Vol. 48, No.3, pp:916-928, 2018. (SCI一区，JCR: 10.38)

  9. Adaptively Clustering-Driven Learning for Visual Relationship Detection
    A.-A. Liu*, et al. IEEE Transactions on Multimedia (IEEE T-MM), Vol. 23, pp. 515-4525, 2021. (SCI一区，JCR: 6.05)

  10. 3D Object Retrieval Based on Multi-View Latent Variable Model
    A.-A. Liu*, et al. IEEE Transactions on Circuits and Systems for Video Technology (IEEE T-CSVT), Vol.29, No.3, pp:868-880, 2019 (SCI 二区，IF: 4.13)

  11. Multi-Grained Random Fields for Mitosis Identification in Time-Lapse Phase Contrast Microscopy Image Sequences
    A.-A. Liu*, et al. IEEE Transactions on Medical Imaging (IEEE T-MI), Vol.36, No.8, pp:1699-1710, 2017. (SCI二区，JCR: 6.69)

  12. A Semi-Markov Model for Mitosis Segmentation in Time-Lapse Phase Contrast Microscopy Image Sequences of Stem Cell Populations
    A.-A. Liu*, et al. IEEE Transactions on Medical Imaging (IEEE T-MI), Vol. 31, No. 2, pp. 359-369, 2012. (SCI二区，JCR: 6.69)

  13. Mitosis Detection in Phase Contrast Microscopy Image Sequences of Stem Cell Populations: A Critical Review
    A.-A. Liu*, et al. IEEE Transactions on Big Data (IEEE T-BD), Vol. 3, No. 4, pp. 443-457, 2017.

Representative Conference Paper [For full list, please refer to DBLP]

  1. Cross-Domain 3D Model Retrieval Based On Contrastive Learning and Label Propagation
    Dan Song, Yue Yang, Weizhi Nie*, Xuanya Li, An-An Liu* ACM Multimedia (ACM MM), 2022. (CCF-A)

  2. Mask and Predict: Multi-step Reasoning for Scene Graph Generation
    Hongshuo Tian, Ning Xu*, An-An Liu*, et al. ACM Multimedia (ACM MM), 2021: 4128-4136. (CCF-A)

  3. Triangle-Reward Reinforcement Learning: A Visual-Linguistic Semantic Alignment for Image Captioning
    Weizhi Nie, Jiesi Li, Ning Xu*, An-An Liu*, et al. ACM Multimedia (ACM MM), 2021: 4510-4518. (CCF-A)

  4. Part-Aware Interactive Learning for Scene Graph Generation
    Tian, H., Xu, N., Liu, A. A.*, et al. ACM Multimedia (ACM MM), 2020. (CCF-A)

  5. Domain-Specific Alignment Network for Multi-Domain Image-Based 3D Object Retrieval
    Su, Y., Li, Y., Song, D., Mao, Z., Li, X., & Liu, A. A* ACM Multimedia (ACM MM), 2020. (CCF-A)

  6. Semantic Consistency Guided Instance Feature Alignment for 2D Image-Based 3D Shape Retrieval
    Zhou, H., Nie, W., Song, D., Hu, N., Li, X., & Liu, A. A.* ACM Multimedia (ACM MM), 2020. (CCF-A)

  7. Dual-Level Embedding Alignment Network for 2D Image-Based 3D Object Retrieval
    H.-Y. Zhou, A.-A. Liu*, st al. ACM Multimedia (ACM MM), 2019. (CCF-A)

  8. Consistent Domain Structure Learning and Domain Alignment for 2D Image-Based 3D Objects Retrieval
    Y.-T. Su,Y.-Q. Li, D. Song*, W.-Z. Nie, W.-H. Li, A.-A. Liu*  International Joint Conference on Artificial Intelligence (IJCAI), 2020. (CCF-A)

  9. Hierarchical Instance Feature Alignment for 2D Image-Based 3D Shape Retrieval
    H.-Y. Zhou , W.-Z. Nie*, W.-H. Li, D. Song and A.-A. Liu*  International Joint Conference on Artificial Intelligence (IJCAI), 2020. (CCF-A)

  10. Cross-Domain 3D Model Retrieval via Visual Domain Adaption
    A.-A. Liu*, et al.  International Joint Conference on Artificial Intelligence (IJCAI), 2018. (CCF-A)

  11. Multi-Level Policy and Reward Reinforcement Learning for Image Captioning
    A.-A. Liu*, et al.  International Joint Conference on Artificial Intelligence (IJCAI), 2018. (CCF-A)

  12. Hierarchical Graph Structure Learning for Multi-View 3D Model Retrieval
    Y.-T. Su, W.-H. Li, A.-A. Liu*, et al.  International Joint Conference on Artificial Intelligence (IJCAI), 2018. (CCF-A)

  13. Clique-graph Matching by Preserving Global & Local Structure
    W.-Z. Nie, A.-A. Liu*, et al.   IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 2015. (CCF-A)

Award

  1. Special prize, Tianjin Science and Technology Progress Award, 2021
  2. Second prize, Tianjin Science and Technology Progress Award, 2019
  3. World's Top 2% Scientists by Stanford, 2022
  4. Highly Cited Chinese Researchers by Elsevier, 2021
  5. Best Student Paper Award, China Multimedia, 2020
  6. Advanced Technology Award, China Multimedia, 2017

Grants

  1. Principle Investigator, the State Key Program of Natural Science Foundation of China, 2022 - 2025
  2. Co-PI, the State Key Program of Natural Science Foundation of China, 2023 - 2026
  3. Co-PI, National Key Research and Development Program of China , 2021 - 2024
  4. Co-PI, National Key Research and Development Program of China , 2020 - 2023
  5. Principle Investigator, Tianjin Key Project of New Generation of Artificial Intelligence , 2019 - 2022
  6. Principle Investigator, Tianjin Key Project of New Generation of Artificial Intelligence , 2018 - 2021
  7. Principle Investigator, Natural Science Foundation of China, 2017 - 2020
  8. Principle Investigator, Natural Science Foundation of China, 2015- 2018
  9. Principle Investigator, Tianjin Research Program of Application Foundation and Advanced Technology, 2015- 2018
  10. Principle Investigator, Natural Science Foundation of China, 2012- 2014
  11. Principle Investigator, Tianjin Research Program of Application Foundation and Advanced Technology, 2011- 2013

Professional Activities

  • IEEE Senior Member
  • AAIA Senior Member
  • CCF Distinguished Member
  • Associate Editor, IEEE Trans. on Circuits and Systems for Video Technology (IEEE T-CSVT)
  • Associate Editor, IEEE Trans. on Affective Computing (IEEE T-AFFC)
  • Associate Editor, IEEE Trans on Medical Imaging (IEEE T-MI)
  • Associate Editor, ACM Transactions on Multimedia Computing, Communications and Applications (ACM TOMM)
  • Associate Editor, Multimedia Systems (MMSJ)
  • Associate Editor, Visual Informatics (VI)
  • Guest Editor, IEEE Transactions on Big Data (2016-2017)
  • Guest Editor, Pattern Recognition (2017-2018)
  • Guest Editor, Journal of Visual Communication and Image Representation (2016-2017)
  • Guest Editor, Machine Vision and Applications (2017-2018)
  • Area Chair, ACM Multimedia ( 2019-2022)
  • Program Committee, IJCAI ( 2018-2019)
  • Program Committee, AAAI ( 2019)
  • Co-chair, ICME Workshop on 3D Multimedia Analytics, Search and Generation (2023 )
  • Organizer, CVPR Contest on Mitosis Detection in Phase Contrast Microscopy Image Sequences (2019 )
  • Co-chair,CVPR Workshop on Open Domain Action Recognition ( 2017)
  • Co-chair, CVPR Workshop on Computer Vision for Microscopy Image Analysis (2016)
  • Co-chair, VCIP Special Session on AI for Medical Image Analysis ( 2018 )
  • Co-chair, Eurographics Workshop on 3D Object Retrieval Track: Extended Monocular Image-based 3D Model Retrieval ( 2020)
  • Co-chair, Eurographics Workshop on 3D Object Retrieval Track: Monocular Image-based 3D Model Retrieval ( 2019)
  • Co-chair, Eurographics Workshop on 3D Object Retrieval Track: Multiview and Mulitmodal 3D Object Retrieval ( 2016)
  • Co-chair, Eurographics Workshop on 3D Object Retrieval Track: Multiview and Mulitmodal 3D Object Retrieval ( 2015)

Collaborators

  • Company: Microsoft (美国微软), Kuaishou (快手)，Baidu (百度)，People's Daily (人民日报社)，People's Daily Online (人民网)......
  • University: Carnegie Mellon University, National University of Singapore......
Last updated by An-An LIU on Dec, 2022.

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