Projects per year
Personal profile
Personal profile
Dr. Jinyi Xu is a Ph.D. graduate in Software Engineering from East China Normal University. She has two years of international research experience at INRIA, France, specializing in multi-source data fusion and task scheduling for heterogeneous systems. Her research interests span machine learning, artificial intelligence, multimodal algorithms, and high-performance computing, with a focus on integrating theory and application for real-world problem-solving.
Research interests
- Multi-source Data Fusion / Multimodal Algorithms
- Machine Learning / Artificial Intelligence
- Task Scheduling for Heterogeneous Systems
- High-performance Computing / Hardware-Software Co-Design
Experience
Visiting Researcher, INRIA, France, 2021 - 2023
Developed multi-view information fusion algorithms and real-time task scheduling methods for heterogeneous platforms.
Awards and honours
- "Huawei Cup" 16th China Graduate Mathematical Modeling Competition, Second Prize
- China FPGA Innovation Design Competition, National Second Prize
- National College Electronics Design Competition, National Second Prize
- Microsoft Research Asia Hackathon, Best Design Award
- National College Robotics Competition (DJI RoboMasters), East Regional Third Prize
Teaching
- Intelligent System Software and Hardware Co-design
- Optimization and Parallelization of Compilers
- Fundamentals of Artificial Intelligence and Machine Learning
Expertise related to UN Sustainable Development Goals
In 2015, UN member states agreed to 17 global Sustainable Development Goals (SDGs) to end poverty, protect the planet and ensure prosperity for all. This person’s work contributes towards the following SDG(s):
Research areas
- Multi-source Data Fusion
- Multimodal Algorithms
- Machine Learning
- Artificial Intelligence
- Task Scheduling for Heterogeneous Systems
- Hardware-Software Co-Design
Person Types
- Staff
Fingerprint
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Collaborations and top research areas from the last five years
Recent external collaboration on country/territory level. Dive into details by clicking on the dots or
Projects
- 1 Active
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Multi-View Clustering Optimization under Uncertainty
1/07/25 → 30/06/28
Project: Internal Research Project
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How to Characterize Imprecision in Multi-View Clustering?
Xu, J., Zhang, Z., Lin, Z., Chen, Y., Liu, Z. & Ding, W., 2025, (Accepted/In press) In: IEEE Transactions on Emerging Topics in Computational Intelligence.Research output: Contribution to journal › Article › peer-review
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Multi-View Dynamic Kernelized Evidential Clustering
Xu, J., Zhang, Z., Lin, Z., Chen, Y. & Ding, W., 2024, In: IEEE/CAA Journal of Automatica Sinica. 11, 12, p. 2435-2450 16 p.Research output: Contribution to journal › Article › peer-review
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Efficient tasks scheduling in multicore systems integrated with hardware accelerators
Xu, J., Shi, H. & Chen, Y., May 2023, In: Journal of Supercomputing. 79, 7, p. 7244-7271 28 p.Research output: Contribution to journal › Article › peer-review
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Quantitative BAN Logic Based on Belief Degree
Li, K., Wu, H., Xu, J. & Chen, Y., 2022, Artificial Intelligence Logic and Applications - The 2nd International Conference, AILA 2022, Proceedings. Chen, Y. & Zhang, S. (eds.). Springer Science and Business Media Deutschland GmbH, p. 19-34 16 p. (Communications in Computer and Information Science; vol. 1657 CCIS).Research output: Chapter in Book or Report/Conference proceeding › Conference Proceeding › peer-review
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Real-time task scheduling for FPGA-based multicore systems with communication delay
Xu, J., Li, K. & Chen, Y., Apr 2022, In: Microprocessors and Microsystems. 90, 104468.Research output: Contribution to journal › Article › peer-review