Yu liang 梁 堉

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.

Email: yuliang@bjut.edu.cn | yliang@buaa.edu.cn

Google Scholar | ResearchGate | Github | 学院官网 | 研究生招生


Research

My research interests include artificial intelligence and deep learing, intelligent software engineering, educational information technology, and multimodal human-computer interaction.


News

[Top] Join our lab and code your future! 欢迎有兴趣在北京工业大学(双一流&211)计算机学院攻读硕士研究生的同学联系我.

[Top][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.

[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).

[2023.06] 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...


Students

  • Master Students
    • 2025: Jiayan Ma
    • 2024: Yongbin Wang (1 paper under review in IEEE JSTARS), Rongqi Cao†
    • 2023: Shuang Niu† (1 paper under review in IEEE TNNLS)
    • 2022: Chenlong Zhang† (2 papers in JNE, Applied Sciences), Zaitian Wang† (1 paper under review in Neurocomputing)
  • Undergraduate Students
    • Lexin Yang, Shuyi Sun, Ziteng Zhang, Zelong Li.

  • †: co-supervised


Selected Publications

You can find the full list on Google Scholar.

USENIX2023

FetchEEG: a hybrid approach combining feature extraction and temporal-channel joint attention for EEG-based emotion classification
Yu Liang, Chenlong Zhang, Shan An, et al.

Accepted by Journal of Neural Engineering
pdf | code

USENIX2023

CLGT: A Graph Transformer for Student Performance Prediction in Collaborative Learning
Tianhao Peng, Yu Liang*, Wenjun Wu, et al.

Accepted by AAAI 2023
pdf | code

USENIX2023

HELP-DKT: An Interpretable Cognitive Model of How Students Learn Programming Based on Deep Knowledge Tracing
Yu Liang, Tianhao Peng, Yanjun Pu, et al.

Accepted by Scientific Report
pdf | code

USENIX2023

Peer Grading Eliciting Truthfulness Based on Autograder
Yong Han, Wenjun Wu, Yu Liang, et al.

Accepted by IEEE Transactions on Learning Technologies
pdf


Fundings and Projects

  • Beijing Natural Science Foundation, China, 2025.01 to 2026.12.
  • Science and Technology Project of the State Grid Corporation of China (SGCC), China, 2023.12 to 2025.12.
  • Beijing Postdoctoral Research Foundation, China, 2023.05 to 2025.01.
  • Open Research Fund of the State Key Lab. of Software Development Environment, China, 2022.11 to 2023.10.


Services

  • PC/Reviewer for AAAI, IJCAI, ICCV, KDD, DSAA, FIE.
  • Guest Editor of Applied Sciences.
  • Journal Reviewers of IEEE Transactions on Affective Computing, Applied Soft Computing Journal, International Journal of Machine Learning and Cybernetics, International Journal of Intelligent Networks, Communications and Mobile Computing, PLOS ONE, IEEE Access.


Teaching

  • Design and Analysis of Algorithms, Software Requirement Analysis and Modeling, Freshmen Seminar in Beijing University of Technology.
  • C Language Programming, Scientific Writing, MOOC as a teaching assistant in Beihang University.