 | Zhiying Jiang Associate Professor
Master’s Supervisor BUCT Distinguished Young Teacher Standing Committee Member
Technical Committee on Embodied Intelligence
Chinese Institute of Command and Control | PROFILE Zhiying Jiang has taught and conducted research at Beijing University of Chemical Technology since 2012. His work combines modelling, experimental analysis and system development to address practical problems. In the classroom, he draws on this experience to help students analyse problems and develop independent solutions. Full academic profile ↗ |
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Research
His research covers graph learning, large language models and agents, and multimodal perception and embodied intelligence. He has led more than 10 projects, supported by the Beijing Natural Science Foundation, State Key Laboratory research funds, and commissions from enterprises and public institutions. As first or corresponding author, he has more than 10 published or accepted papers in journals and conferences, including Expert Systems with Applications and IEEE Transactions on Intelligent Transportation Systems. 01 | Diagnosing Learning Authenticity and Designing Interventions in LLM-Assisted Programming Education Project · Beijing Natural Science Foundation · Principal investigator · RMB 300,000 | 02 | Identification and Analysis of Critical Nodes in Energy Networks Project · State Key Laboratory Research Fund · Principal investigator · RMB 300,000 | 03 | Development of Engineering Modules and Models for Domain-Specific Big Data Project · Commissioned by a research institute · Principal investigator · RMB 2,015,000 | 04 | JIANG Z, JI G, DAI Y, DOYLE P, GU W. Learning multilayer network representation via rotational graph convolutional networks[J]. Expert Systems with Applications, 2027, 333: 134080. RT-GCN · First author · Published online in 2026 Publication details ↗ | 05 | YANG H, LIU W, QIAO Y, YANG L, ZENG X, WANG L, LI Z, ZENG Z, JIANG Z, LIU H, WANG K. CrossRay3D: Geometry and Distribution Guidance for Efficient Multimodal 3D Detection[J]. IEEE Transactions on Intelligent Transportation Systems, 2026, 27(5): 6027–6039. CrossRay3D · Corresponding author Publication details ↗ |
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Teaching & Educational Research
He teaches Data Structures and Object-Oriented Programming. His AI in education research uses multilayer heterogeneous graphs to model the relationships between knowledge, behaviour and cognition. It focuses on learning authenticity, cognitive repair and instructional intervention in generative AI environments. He develops and applies the CHL teaching system in his classes. In 2026, Data Structures received university support for smart-course development. 01 | LLM-Based Intelligent Teaching: A Study in Data Structures Project · University Key Teaching Reform Project · Principal investigator · RMB 20,000 | 02 | Global Innovation Teams (GIT) Project · European Union Erasmus+ · Participant (listed 5th) · Total funding: RMB 2,070,000; personal allocation: RMB 150,000 | 03 | Practical Training in Storm Parallel Computing Project · Ministry of Education Industry–University Collaborative Education Programme · Principal investigator · RMB 30,000 | 04 | JIANG Z, LIU Y, LU G, HE Y. CHL Teaching Practice for Data Structures with Generative AI[J]. Computer Education. Accepted (in Chinese). First author Publication details ↗ | 05 | JIANG Z, LIU Y, GU W. Mechanisms and Practice of Cognitive Structure Repair in Emerging Engineering Education: A Case Study of Data Structures[J]. Journal of Beijing University of Chemical Technology (Social Sciences Edition). Accepted (in Chinese). First author Publication details ↗ |
Courses, Student Development & Textbooks His students have won five first prizes in national competitions. He has also supervised three projects under the National College Student Innovation and Entrepreneurship Training Programme. He is a deputy editor of University Computer Laboratory Guide (5th ed., Tsinghua University Press, 2025). |
Academic Service
Academic appointment | Standing Committee Member Technical Committee on Embodied Intelligence, Chinese Institute of Command and Control. | International exchange | Executive Chair, Summit on Digital Education and Industry Partnerships Presented “Reforming Sino-International Collaborative Teaching Models”, sharing experience in international joint classrooms and curriculum cooperation. | International cooperation | Erasmus+ Global Innovation Teams Contributed to collaborative teaching and virtual-internship research involving seven universities across six countries. The project received a final assessment score of 88 and was recognised as good practice for dissemination. |
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Honours & Awards
2024 | BUCT Distinguished Young Teacher | 2022 | Second Prize, Beijing Higher Education Teaching Achievement Award (8th contributor) | 2021 | Third Prize, Beijing Young University Teachers’ Teaching Skills Competition (Engineering Division A) | 2015 | Third Prize, Beijing Division, Second National University Micro-Lecture Competition | 2020 | First Prize, BUCT Young Teachers’ Teaching Skills Competition (Best Live Presentation Award; Students’ Choice Award) | 2020 | BUCT Outstanding Young Lecturer |
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