Anran WANG (王安然)
Research Scientist of Bytedance AI Lab, Singapore
Email: anran.wang@bytedance.com
Dr. Wang is currently a research scientist of Bytedance, Singapore. She received the Ph.D. degree in computer science and engineering from Nanyang Technological University, Singapore, in 2016, and the B.Eng. degree in computer science and technology from Tianjin University, China, in 2012. In Nanyang Technological University, she was under the supervision of Prof. Jianfei Cai and Prof. Tat-Jen Cham. She also worked with Prof. Jiwen Lu. From July 2016 to Jan 2018, she was an Assistant Professor in the Department of Computer Science, Hong Kong Baptist University. From Jan 2018 to Sep 2019, she was a research scientist in Institute for Infocomm Research, A*STAR.
Publications
Z. Jiang, Q. Hou, L. Yuan, D. Zhou, Y. Shi, X. Jin, A. Wang, J. Feng, "All Tokens Matter: Token Labeling for Training Better Vision Transformers", Conference on Neural Information Processing Systems (NeurIPS), 2022.
T. Li, L. G. Foo, Q. Ke, H. Rahmani, A. Wang, J. Wang, and J. Liu, "Dynamic Spatio-Temporal Specialization Learning for Fine-Grained Action Recognition", European Conference on Computer Vision (ECCV), 2022
X. Shang, Z. Yuan, A. Wang, C. Wang, "Multimodal Video Summarization via Time-Aware Transformers", Proceedings of ACM International Conference on Multimedia (MM), 2021.
A. Wang, A. T. Luu, C. S. Foo, H. Zhu, Y. Tay and V. Chandrasekhar, "Holistic Multi-modal Memory Network for Movie Question Answering", IEEE Transactions on Image Processing (TIP), 2019.
L. Laugier*, A. Wang*, C. S. Foo, T. Guenais and V. Chandrasekhar, "Encoding Knowledge Graph with Graph CNN for Question Answering", International Conference on Learning Representations (ICLR) workshop, 2019.
A. Wang, J. Cai, J. Lu and T.-J. Cham, "Structure-aware Multi-modal Feature Fusion for RGB-D Scene Classification and Beyond", ACM Transactions on Multimedia Computing, Communications and Applications (TOMM), 2018.
J. Chen, W.K. Cheung and A. Wang, "Learning Deep Unsupervised Binary Codes for Image Retrieval", International Joint Conference on Artificial Intelligence (IJCAI), 2018.
A. Wang, J. Cai, J. Lu and T.-J. Cham, "Modality and Component Aware Feature Fusion for RGB-D Scene Classification", IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 2016.
A. Wang, J. Cai, J. Lu and T.-J. Cham, "MMSS: Multi-modal Sharable and Specific Feature Learning for RGB-D Object Recognition", IEEE International Conference on Computer Vision (ICCV), 2015.
A. Wang, J. Lu, J. Cai, G. Wang and T.-J. Cham, "Unsupervised Joint Feature Learning and Encoding for RGB-D Scene Labeling", IEEE Transactions on Image Processing (TIP), 2015.
A. Wang, J. Lu, J. Cai, T.-J. Cham and G. Wang, "Large-margin Multi-modal Deep Learning for RGB-D Object Recognition", IEEE Transactions on Multimedia (TMM), 2015.
A. Wang, J. Lu, G. Wang, J. Cai and T.-J. Cham, "Multi-modal Unsupervised Feature Learning for RGB-D Scene Labeling", European Conference on Computer Vision (ECCV), 2014.
J. Chen, A. Wang and W.K. Cheung, "APHASH: Anchor-Based Probability Hashing for Image Retrieval", IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP), 2018.
J. Chen and A. Wang, "DDSH: Deep Distribution-Separating Hashing for Image Retrieval", Pacific-Rim Conference on Multimedia (PCM), 2017.
A. Wang, J. Lu, J. Cai, G. Wang and T.-J. Cham, "Estimating Spatial Layout of Rooms from RGB-D Videos", International Workshop on Multimedia Signal Processing (MMSP), 2014. (Top 10% award)
A. Wang, H. Zhu, J. Cai and J. Wu, "Multi-class Cosegmentation with Pairwise Active Learning", Pacific-Rim Conference on Multimedia (PCM), 2013.
Education
Ph.D. of Computer Science and Engineering 2012 - 2016
Nanyang Technological University, Singapore
B.Eng. of Computer Science and Technology 2008 - 2012
Tianjin University, China
Experience
Research Scientist 2019 - present
Bytedance, Singapore
Research Scientist 2018 - 2019
Institute for Infocomm Research, A*STAR
Assistant Professor 2016 - 2018
Department of Computer Science, Hong Kong Baptist University
Professional Service
Reviewer
CVPR/ICCV/IEEE Transactions on Image Processing/IEEE Transactions on Cybernetics/IEEE Transactions on Information Forensics and Security/IEEE Transactions on Neural Networks and Learning Systems/Neurocomputing/Plos One/ICME/PCM
Member of the Organizing Committee
IAPR/IEEE Winter School on Biometrics 2017, 2018
Awards
Outstanding Ph.D. Thesis Honorable Mention Award, School of Computer Science and Engineering, NTU, 2017
Top 10% Paper Award in MMSP, 2014