Yingying Zhu

Yingying Zhu

Shen Zhen University

Yingying Zhu, professor and doctoral supervisor, received a bachelor’s, master’s and doctoral degree in computer science and technology from Wuhan University. She is a visiting scholar at the University of Texas, USA, a special member of the Shenzhen Peacock Project, the chief technical consultant of a national high-tech enterprise, and a new mentor at Shenzhen University. She is currently the executive deputy director of the Institute of Future Media Technology and Computing, School of Computer Science, Shenzhen University, a strategic expert of the Guangdong Development and Reform Commission, a member of the Multimedia Technology Committee of the China Computer Society, a Guangdong Provincial Science and Technology Plan expert, and a Shenzhen High-tech Enterprise Certification Expert.

🔥 News

  • 2025.11:  🎉🎉 Le Wu’s paper (first author) was accepted by AAAI 2026, a top conference in the artificial intelligence field.
  • 2025.11:  🎉🎉 Yuqi Xiao, Xinwang Xiao, Songsong Ouyang, and other team members won the Second Prize in the 19th “Challenge-cup Extracurricular and Academic Contest”.
  • 2025.09:  🎉🎉 Songsong Ouyang’s paper (first author) was accepted by NeurIPS 2025, a leading conference in the machine learning field.
  • 2025.07:  🎉🎉 Yiru Li’s paper (first author) was accepted by ACM MM 2025, a top conference in the multimedia field.
  • 2025.07:  🎉🎉 Qingwang Zhang won the title of “Outstanding Graduate of Shenzhen University”.
  • 2025.06:  🎉🎉 Qingwang Zhang’s paper was accepted by ICCV 2025, a top conference in the computer field.
  • 2025.03:  🎉🎉 Yuanyuan Li and Jiecong Chen’s papers were accepted by ICME 2025, the flagship conference in the multimedia field.
  • 2024.11:  🎉🎉 Chenlin Fu is the first author to publish a paper at the top artificial intelligence conference AAAI 2025.
  • 2024.10:  🎉🎉 Qingwang Zhang won the National Scholarship (ranked first).
  • 2024.10:  🎉🎉 Zhihang Liu published a paper as the first author at the flagship conference on artificial intelligence ECAI 2024 (CCF B).
  • 2024.09:  🎉🎉 Qingwang Zhang published a paper as the first author at the top computer vision conference ECCV 2024.
  • 2024.08:  🎉🎉 Zhuangzhuang Zhou published a paper as the first author in the top-tier (Q1) journal Knowledge-Based Systems (KBS).
  • 2024.05:  🎉🎉 Jiefeng Lin, Yong Tang, and Dafeng Li published three papers at the flagship multimedia conference ICME 2024 (CCF B), including two oral presentations.
  • 2024.05:  🎉🎉 Hongji Yang received the “Top 100 Excellent Master’s Theses” Award from Shenzhen University.
  • 2024.04:  🎉🎉 Zhuangzhuang Zhou published two first-author papers in top-tier (Q1) journals IEEE TMM and IEEE TGRS.
  • 2024.02:  🎉🎉 Qingwang Zhang attended the AAAI 2024 conference held in Vancouver, Canada.
  • 2023.12:  🎉🎉 Qingwang Zhang published a paper as the first author at the top-tier AI conference AAAI 2024 (CCF A).
  • 2023.10:  🎉🎉 Yiru Li received support from the Excellent Doctoral Program of Shenzhen University.
  • 2023.08:  🎉🎉 Zhanyuan Yang received the “Top 100 Excellent Master’s Theses” Award from Shenzhen University.
  • 2023.07:  🎉🎉 Dafeng Li and Zemian Guo gave oral presentations as first authors at the flagship multimedia conference ICME 2023 (CCF B).
  • 2022.08:  🎉🎉 Hongji Yang was recommended by his advisor for an internship at Tencent AI Lab (Algorithm Position).
  • 2022.07:  🎉🎉 Dafeng Li was recommended for an internship at the Infrastructure R&D Department of ByteDance.
  • 2022.07:  🎉🎉 Zhanyuan Yang published a paper as the first author titled Few-Shot Classification with Contrastive Learning at the flagship computer vision conference ECCV 2022 (CCF B).

📝 Academic Research

Zhu’s research focuses on deep learning, reinforcement learning, computer vision, AIGC, etc. As the project leader, he has presided over nearly 20 National Natural Science Foundation projects, Guangdong Natural Science Foundation projects, Shenzhen Science and Technology Innovation Basic Research Discipline Layout Projects and Basic Research General Projects. Zhu has published nearly 70 papers in computer TOP conferences, international TOP journals, domestic TOP journals, SCI journals, EI conferences, etc., and has authorized more than 10 Chinese and American patents and software copyrights. He serves as a program committee member (PC Member/PC Committee) of top international conferences such as CVPR, ECCV, ICCV, ICLR, ICML, AAAI, IJCAI, NeurIPS, ACM MM, ICRA, and serves as a reviewer for many important international and domestic professional journals (TPAMI, IJCV, TIP, TNNLS, TC, TMM, TCSVT, TGRS, KBS, EWSA, Neurocomputing, Journal of Software, Journal of Computers, etc.).

🔬 Industrial R&D

Closely cooperate with many high-tech IT companies, presided over 15 horizontal projects, has strong project R&D experience, developed multiple multimedia application systems and software, and has been put into use to generate benefits, such as Shenzhen Metro Group and Nasdaq-listed group companies. Teacher Zhu has cooperated with high-tech IT companies for many years, is familiar with the employment needs of enterprises, and has rich experience in cultivating high-end talents urgently needed by enterprises.

🛠 Cooperation Team

Teacher Zhu Yingying and American professor Qi Tian (IEEE Fellow), chief scientist in the field of artificial intelligence of Huawei Cloud, have in-depth scientific research cooperation in the fields of artificial intelligence and computer vision, and provide joint training and internship opportunities for outstanding students with Huawei, ByteDance, Tencent, DJI, Obi Zhongguang, etc., and have recommended many students to enter Tencent AI Lab (algorithm position), Huawei Cloud, etc. for internship and work.

At the same time, it has in-depth scientific research cooperation with the Department of Computer Science at the University of Texas and the Australian National University in the direction of multimedia data mining research. In addition, it has close academic exchanges and scientific research cooperation with famous universities such as the University of Sydney, the Chinese University of Hong Kong, Wuhan University, Huazhong University of Science and Technology, Zhejiang University, and the University of Science and Technology of China.

📚 Student Cultivating

More than 30 graduate students have been trained, and they have been guided to publish papers in top conferences in the field of artificial intelligence (NeurIPS, AAAI), computer vision (ECCV, ICCV), multimedia (ACM MM, ICME), information retrieval (ACM SIGIR, ICMR) and TOP journals. Many graduates have won outstanding graduates from Shenzhen University and national scholarships. Many graduates have entered Zhejiang University, Fudan University, Nanyang Technological University, Sun Yat-sen University and other famous universities for further studies, and many have entered well-known companies such as Alibaba, ByteDance, Huawei, Tencent, Meituan, DJI, ZTE, Shopee, Oracle, etc.

Students who are interested in investing in cutting-edge research in artificial intelligence, computer vision, multimedia, high-tech IT enterprise engineering project development, internships at Huawei, ByteDance, Tencent, or further studies in the United States, Australia, Hong Kong, and Singapore are welcome to join our team.

Cultivation philosophy: We fully respect students’ personal scientific research interests. Through research activities, we are committed to cultivating students’ ability to analyze and solve problems and sufficient teamwork opportunities, providing novices with personalized learning routes, integrating echelon training, creating an active and mutual academic atmosphere, and providing competitive and high scientific research rewards.

💻 Research Support

The laboratory is located on the 4th floor of Zhiteng Building, School of Computer Science, equipped with multiple high-performance deep learning servers (NVIDIA Tesla A100, V100, P100, etc., more than 20 units), multiple graphics workstations, providing each student with an independent work space and high-performance work computer.

📚 Recently Publications

NeurIPS 2025
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CVGL: Causal Learning and Geometric Topology

Songsong Ouyang, Yingying Zhu

Project

  • Extensive experiments on CVUSA, CVACT, and their robustness-enhanced variants (CVUSA-C-ALL and CVACT-C-ALL) demonstrate that CLGT achieves state-of-the-art performance, particularly under challenging real-world corruptions.
ACM MM 2025
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PLGeo: A Patch-level Framework to Overcome Orientation Discrepancies in Cross-view Geo-localization

Yiru Li, Yingying Zhu

Project

  • PLGeo is the first work to explore patch-level alignment for unknown orientation cross-view geo-localization..
ICCV 2025
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Breaking Rectangular Shackles: Cross-View Object Segmentation for Fine-Grained Object Geo-Localization

Qingwang Zhang, Yingying Zhu

Project

  • Extensive experiments on both CVOGL and CVOGL-Seg datasets demonstrate that our approach achieves state-of-the-art performance, effectively breaking the rectangular shackles and unlocking new possibilities for fine-grained object geo-localization.
AAAI 2025
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BGHR: Bridging the Gap Between HBox-Supervised and RBox-Supervised Oriented Object Detection via Adaptive Fine-Grained Sample Mining

Chenlin Fu, Yingying Zhu

Project

  • BGHR achieves state-of-the-art performance compared to HBox-supervised methods without additional overhead.
ECCV 2024
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Benchmarking the Robustness of Cross-View Geo-Localization Models

Qingwang Zhang, Yingying Zhu

Project

  • Created a new benchmark for robust evaluation of cross-view geolocation.