Zu Lizheng

Zu Lizheng

Assistant Professor at Shenzhen University

About Me

Hi, I am an Assistant Professor at the College of Electronics and Information Engineering, Shenzhen University (SZU). I received my Ph.D. from the School of Mechatronics Engineering, Harbin Institute of Technology (HIT), and was a joint Ph.D. student at the College of Computing and Data Science, Nanyang Technological University (NTU), Singapore.
During my Ph.D., I was fortunate to be supervised by Prof. Lin Lin and Prof. Song Fu at HIT, and Prof. Siu Cheung Hui at NTU. I have also closely collaborated with Prof. Pan Zhou.

🤖 Research Interests

  • LLM-based Agents: multi-agent cooperation, gui agent
  • Knowledge Graph: graphrag, knowledge representation
  • Time Series: anomaly detection, remaining life prediction

🔥 News

  • 2026.07: đź’Ľ Joined Shenzhen University as an Assistant Professor.
  • 2026.07: đź“„ Paper on image quality assessment accepted to ACM MM 2026 (CCF A).
  • 2026.05: đź“„ Paper on VLLM hallucination accepted to ICML 2026 (CCF A).
  • 2026.01: đź“„ Paper on story visualization accepted to ICASSP 2026 (CCF B).
  • 2025.10: đź’Ľ Joined Guangming Laboratory as a research intern, working with Dr. Ming Li.
  • 2025.04: 🏆 Awarded Outstanding Graduate of Heilongjiang Province.
  • 2025.02: đź“„ Paper on multi-agent collaboration accepted to CVPR 2025 (CCF A).
  • 2024.12: đź“„ Paper on remaining useful life prediction accepted to IEEE/CAA JAS (IF: 19.2).
  • 2024.11: 🏆 Awarded China National Scholarship.
  • 2024.09: 🎓 Started joint Ph.D. program at NTU, Singapore, under Prof. Siu Cheung Hui.
  • 2024.08: đź“„ Paper on entity linking accepted to Information Systems (IF: 3.4, CCF B).
  • 2024.06: đź“„ Paper on time-series anomaly detection accepted to EAAI (IF: 8).
  • 2024.03: 🎓 Started visiting research at SMU, Singapore, working with Prof. Pan Zhou.
  • 2024.03: đź“„ Paper on knowledge graph embedding accepted to ESWA (IF: 7.5).
  • 2024.02: đź’Ľ Joined TAL as a research intern, working with Dr. Jianjin Xu.
  • 2024.02: đź“„ Paper on knowledge graph representation learning accepted to KBS (IF: 7.6).
  • 2023.10: đź“„ Paper on entity linking accepted to ESWA (IF: 7.5).
  • 2023.09: đź’Ľ Joined Zhipu AI as a research intern, working with Dr. Dingxiao Liu.
  • 2023.09: đź“„ Paper on entity alignment accepted to Neurocomputing (IF: 6.5).
  • 2021.09: 🚀 Started Ph.D. at Harbin Institute of Technology, under Prof. Lin Lin and Prof. Song Fu.

đź“ť Publications

$^{\star}$ denotes corresponding author

  • [1] Zu L., Li X., Suo S., Lan X., Li Y., Deductive Evidence-Guided Visual Expert Modulation for AI-Generated Image Quality Assessment, Proceedings of the ACM International Conference on Multimedia (ACM MM), 2026.

  • [2] Xing W., Zha Q., Zu L., Li M., Li M., Yan J., Learning to Decode Against Compositional Hallucination in Video Multimodal Large Language Models, International Conference on Machine Learning (ICML), 2026.

  • [3] Zu L., Lin L.$^{\star}$, Fu S.$^{\star}$, et al., Collaborative Tree Search for Enhancing Embodied Multi‑Agent Collaboration, Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR), 2025: 29513–29522.

  • [4] Zu L., Lin L.$^{\star}$, Liu J., et al., SRSCL: A Strong‑Relatedness‑Sequence‑Based Fine‑Grained Collective Entity Linking Method for Heterogeneous Information Networks, Expert Systems with Applications, 2024, 238: 121759.

  • [5] Zu L., Lin L.$^{\star}$, Fu S., et al., SelectE: Multi‑Scale Adaptive Selection Network for Knowledge Graph Representation Learning, Knowledge-Based Systems, 2024, 288: 111554.

  • [6] Zu L., Lin L.$^{\star}$, Fu S., Liu J., et al., PathEL: A Novel Collective Entity Linking Method Based on Relationship Paths in Heterogeneous Information Networks, Information Systems, 2024, 126: 102433.

  • [7] Zu L., Jin Y., Cao S., Suo S., et al., End-to-end story visualization framework with penalty-based evaluation using vision-language models, IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP), 2026.

  • [8] Fu S.$^{\star}$, Lin L., Zu L.$^{\star}$, et al., DKAMFormer: Domain Knowledge‑Augmented Multiscale Transformer for Remaining Useful Life Prediction of Aeroengine, IEEE/CAA Journal of Automatica Sinica, 2024, 11(5): 1001–1015.

  • [9] Lin L., Zu L.$^{\star}$, Fu S.$^{\star}$, et al., Integrating Adversarial Training Strategies into Deep Autoencoders: A Novel Aeroengine Anomaly Detection Framework, Engineering Applications of Artificial Intelligence, 2024, 128: 107456.

  • [10] Liu J., Zu L.$^{\star}$, Yan Y., et al., Multi‑Filter Soft Shrinkage Network for Knowledge Graph Embedding, Expert Systems with Applications, 2024, 250: 123875.

  • [11] Lin L.$^{\star}$, Zu L., Guo F., et al., Using Combinatorial Optimization to Solve Entity Alignment: An Efficient Unsupervised Model, Neurocomputing, 2023, 545: 126802.

  • [12] Yao J.$^{\star}$, Zu L., Ruan H., et al., A Heavy Load Miniature Six‑Component Force Sensing Mechanism with Hybrid Branches, Measurement, 2020, 157: 107623.

  • [13] Yao J.$^{\star}$, Zu L., Ruan H., et al., Stiffness Modeling and Force Mapping Analysis of Hybrid‑Limb Six‑Axis Force Sensor, Proceedings of the Institution of Mechanical Engineers, Part C: Journal of Mechanical Engineering Science, 2020, 234(22): 4401–4413.

đź“– Educations

  • 2024.09 – 2025.09, Joint Ph.D. in the College of Computing and Data Science, Nanyang Technological University, Singapore
  • 2021.09 – 2026.06, Ph.D. in the School of Mechatronics Engineering, Harbin Institute of Technology, China

đź’» Internships

  • 2023.09 – 2023.12, Research Intern, Zhipu AI
  • 2024.02 – 2025.06, Research Intern, TAL
  • 2025.10 – Present, Research Intern, Guangming Laboratory

🎖 Honors and Awards

  • 2025: Provincial Outstanding Graduate (Ph.D.)
  • 2024: China National Scholarship (Ph.D.)
  • 2024: Outstanding Student Award, Harbin Institute of Technology
  • 2024: Provincial Silver Award, 5th China “Internet+” Innovation & Entrepreneurship Competition
  • 2021: Provincial Outstanding Graduate (M.S.)
  • 2021: Excellent Thesis Award (M.S.)
  • 2020: China National Scholarship (M.S.)