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Yu Liang, pronounced as "yoo (falling tone)- lyahng (rising
tone)", is currently an Assistant Professor
of the College of Computer
Science, Beijing University of
Technology, China. He received a Ph.D. degree in 2022 from the School of
Computer Science and Engineering and the Shen Yuan
Honors College (an elite program), Beihang University, China,
supervised by Prof. Wenjun
Wu. He also received a B.Sc. degree in 2017 from Beihang University.
Google Scholar | ResearchGate | Github | 学院官网 | 研究生招生 |
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My research interests include artificial intelligence and deep learning, intelligent software engineering, educational information technology, and multimodal human-computer interaction. |
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[Top] Join our lab and code your future! 欢迎有兴趣在北京工业大学 (双一流&211工程) 计算机学院攻读硕士研究生的同学联系我. [Top][2025.07] Call for Paper: Applied Sciences (JCR Q2, IF 2.5) — Special Issue "Artificial Intelligence Technologies for Education: Advancements, Challenges, and Impacts, 2nd Edition". Deadline: 31 March 2026. [2025.06] One co-authored paper on EEG-based emotion recognition accepted by 2025 IEEE International Conference on Systems, Man, and Cybernetics (SMC). [2025.03] One corresponding-authored paper on power cable detection accepted by 2025 IEEE 6th International Seminar on Artificial Intelligence, Networking and Information Technology (AINIT). [2025.03] One co-authored paper on student performance prediction accepted by Scientific Reports. [2025.01] One co-authored paper on few-shot learning accepted by Pattern Recognition. [2025.01] Awarded the Beijing Natural Science Foundation. [2024.11] One co-authored paper on multi label text classification accepted by Scientific Reports. [2024.10] One co-authored paper on automatic text summarization accepted by CCF Transactions on Pervasive Computing and Interaction. [2024.09] Elected to be an Executive Member of the Technical Committee on Intelligent Robot, China Computer Federation (CCF TCIR). [2024.07] One co-authored paper on medical image segmentation accepted by Neurocomputing. [2024.04] One first-authored paper on EEG-based emotion classification accepted by Journal of Neural Engineering (JNE). [2024.04] One co-authored paper on vision-fused attack accepted by IJCAI 2024. [2024.03] One corresponding-authored paper on knowledge graph accepted by Applied Sciences. [2023.12] One co-authored paper on reinforcement learning and graph neural network accepted by ICDE 2024. [2023.12] Awarded funding from by the Science and Technology Project of the State Grid Corporation of China (SGCC). [2023.11] One corresponding-authored and one co-authored papers on smart education accepted by Applied Sciences. [2023.09] One corresponding-authored paper on educational knowledge graph accepted by 2023 IEEE Frontiers in Education Conference (FIE). [2023.07] Call for Paper: Applied Sciences (JCR Q1, IF 2.5) — Special Issue "Artificial Intelligence Technologies for Education: Advancements, Challenges, and Impacts". Deadline: 30 June 2025. [2023.06] One co-authored paper on IoT and edge computing accepted by the IEEE 48th Conference on Local Computer Networks (LCN). [2023.04] Awarded the Beijing Postdoctoral Research Foundation. [2023.02] One corresponding-authored paper on graph transformer accepted by AAAI 2023. [2022.11] Awarded the Open Research Fund of the State Key Lab. of Software Development Environment. [2022.11] One co-authored paper on peer grading accepted by IEEE Transactions on Learning Technologies. [2022.11] Received the Ph.D degree with a certificate of honor from Beihang University. [2022.10] One co-authored paper on interpretable deep knowledge tracing accepted by Scientific Reports. [2022.03] One first-authored paper on deep knowledge tracing accepted by Scientific Reports. More... |
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†: co-supervised |
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You can find the full list on Google Scholar. |
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