👩💻👩💻 About Me 👩💻👩💻
Linhui Dai, born in September 1997, from Changde, Hunan. I received my Ph.D. degree in Computer Science from Peking University in July 2024, supervised by Prof. Hong Liu (Personal page: Peking University Intelligent Robotics Lab (pkusz.edu.cn)). My research team is affiliated with the National Key Laboratory of Cross-Media General Purpose Artificial Intelligence, Peking University, and the Peking University Intelligent Robotics Lab. Currently, my research team is part of the Intelligent Information Processing Division of the ATR (Automatic Target Recognition) National Defense Science and Technology Key Laboratory, and the Guangdong Provincial Key Laboratory of Intelligent Information Processing.
My research vision is to explore how to better understand and perceive the physical world through the computer’s “eyes,” so as to promote more intelligent and natural visual applications. I have published multiple papers in SCI Q1 journals such as PR, TCSVT, and CAAI TRIT on pattern recognition and video processing. I serve as a reviewer for international journals such as TIP, TCSVT, and PR. I maintain long-term collaborations with first-line research scholars from renowned institutions worldwide such as NTU, ETH Zurich, and KU Leuven, as well as well-known companies such as Alibaba and Huawei.
My research interests include:
- Artificial Intelligence
- Computer Vision
- Object Detection
📣📣 Call For Members 📣📣
We are seeking excellent graduate and undergraduate students who are passionate about artificial intelligence, robotics, and computer vision. Students with strong programming skills, hands-on deep learning experience, programming competition achievements, or research experience are welcome to contact us. Undergraduate students interested in research are also warmly welcome to consult and join our group for learning and exchange.
We recruit graduate students and undergraduates annually. Students meeting any two of the following criteria are encouraged to contact me as early as possible^_^.
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Educational background (Computer Science, Mathematics, Software Engineering, Electronic Information, Automation, Intelligent Science and Technology, Artificial Intelligence)
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Scores higher than 85/100 in two core courses (Calculus/Linear Algebra/C Language/C++ Language/Data Structures/Algorithms)
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Completed all Li Mu’s “Dive into Deep Learning” series courses and assignments (PyTorch, https://zh-v2.d2l.ai/)
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Persisted in daily reading/writing/fitness/running for more than 3 months
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Hardworking, diligent, and cheerful
📝 Publications
[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)
[7] Yang Chen, Pinhao Song, Hong Liu, Linhui Dai, X Zhang, R Ding, S Li. Achieving domain generalization for underwater object detection by domain mixup and contrastive learning. Neurocomputing, 2023, 528: 20-34. (SCI, JCR Q1)
[8] Jian Zhang, Runwei Ding, Miaoju Ban, Linhui Dai. PKU-GoodsAD: A supermarket goods dataset for unsupervised anomaly detection and segmentation. IEEE Robotics and Automation Letters, 2024, 9(3): 2008-2015. (SCI, JCR Q2)
🏅 Honors and Awards
[1] Peking University “Three Good Students” Award
[2] Peking University Outstanding Research Award
[3] National Scholarship and President’s Scholarship during undergraduate studies (only 10 graduates nationwide receive this award annually)
🏛️ Research Projects
[1] Shenzhen University Young Teacher Research Startup Fund, “Research on Object Detection Methods for Complex Scenarios,” Principal Investigator, 2024-2027.
[2] National Natural Science Foundation of China, General Project, “Explainable Deep Network Research for Decoupled Aerial Target Cluster Behavior Recognition,” Participant, 2025-2028.
[3] National Natural Science Foundation of China, General Project, “Robot Pose Space Modeling Method for Hybrid Augmented Intelligent Motion Planning,” Participant, 2021-2024.
[4] Science and Technology Innovation 2030 “New Generation Artificial Intelligence” Major Project, “Data-Driven Service Robot Intelligent Behavior Full-Process Evaluation,” Participant, 2022-2024.
[5] National Key R&D Program Project, “High-Speed Visual Positioning, Optical Detection and Defect Identification Technology for Mobile Phone Components,” Participant, 2019-2023.