Dr. Dai received her Ph.D. in Computer Application Technology from the School of Computer Science at Peking University, under the supervision of Professor Liu Hong. She is currently an Assistant Professor at the School of Electronic and Information Engineering at Shenzhen University. Her research team is affiliated with the National Key Laboratory of RF Heterogeneous and Homogeneous Integration, the Intelligent Information Processing Division of the National Defense Science and Technology Key Laboratory of Automatic Target Recognition (ATR), and the Guangdong Provincial Key Laboratory of Intelligent Information Processing.

Her research vision is to explore how computers can better understand and perceive the physical world through "eyes", thereby driving the development of more intelligent and natural visual applications. She has published several papers in top-tier SCI journals such as Pattern Recognition, TCSVT, and CAAI TRIT, focusing on topics like pattern recognition and video processing. She also serves as a reviewer for leading international journals, including TIP, TCSVT, and PR. Additionally, she maintains long-term collaborations with researchers from prominent universities such as Peking University, ETH Zurich, and Nanyang Technological University.

[1]09/2018-07/2024: Ph.D, Peking University

[2]09/2014-09/2018: B.S., Guangxi University

[1]08/2024-Current: Assistant Professor, College of Electronics and Information    Engineering, Shenzhen University

[1]Artificial Intelligence, Computer Vision, Object Detection

[1]Linhui Dai, Hong Liu, Pinhao Song, Mengyuan Liu. A gated cross-domain collaborative network for underwater object detection. Pattern Recognition (PR), 2024, 149:110222.（SCI，JCR Q1，IF：8.0）

[2]Linhui Dai, Hong Liu, Hao Tang, Pinhao Song. Ao2-detr: Arbitrary-oriented object detection transformer. IEEE Transactions on Circuits and Systems for Video Technology (TCSVT), 2022, 33(5): 2342-2356.（SCI，JCR Q1，IF：8.4）

[3]Linhui Dai, Hong Liu, Pinhao Song, Hao Tang, Runwei Ding, Shengquan Li. Edge-guided representation learning for underwater object detection. CAAI Transactions on Intelligence Technology, 2024.（SCI，JCR Q1，IF：8.4）

[4]Runwei Ding, Linhui Dai*, Guangpeng Li, Hong Liu. TDD‐net: a tiny defect detection network for printed circuit boards. CAAI Transactions on Intelligence Technology, 2019, 4(2): 110-116.（Corresponding author，SCI，JCR Q1，IF：8.4）

[5]Linhui Dai, Hong Liu. DeCo-DETR: Densely Packed Commodity Detection with Transformer. Proceedings of the 7th Asian Conference on Artificial Intelligence Technology (ACAIT), 2023.

[6]Pinhao Song, Pengteng Li, Linhui Dai, Tao Wang, Zhan Chen. Boosting R-CNN: Reweighting R-CNN samples by RPN’s error for underwater object detection. Neurocomputing, 2023, 530: 150-164. (SCI，JCR Q1)

[1]A reviewer for leading international journals, including TIP, TCSVT, and PR.