Lecturer, Department of Artificial Intelligence School of Artificial Intelligence Xiamen University of Technology Xiamen, Fujian, China Email: zhaoriguo@xmut.edu.cn [Official Homepage] [Google Scholar]

Biography

I am currently a Lecturer and Master's supervisor in the Department of Artificial Intelligence, School of Artificial Intelligence, Xiamen University of Technology. I am an Executive Committee Member of the CCF Technical Committee on Multi-Agent Systems and a Category C High-Level Talent of Xiamen. I serve as an Area Chair for the 2026 International Conference on Distributed Artificial Intelligence (DAI 2026) and as a Program Committee Member for the 2027 AAAI Conference on Artificial Intelligence (AAAI 2027). I have also served as a Program Committee Member for the European Conference on Artificial Intelligence (ECAI) and as a reviewer for international journals, including IEEE Transactions on Systems, Man, and Cybernetics: Systems and Applied Soft Computing. My research interests include large-language-model-based medical decision-making, graph-neural-network-based bioinformatics identification, multi-agent decision-making, and interactive reinforcement learning.

I received my Ph.D. in Computer Science from the University of Southampton in 2023, M.Sc. in Artificial Intelligence from the University of Southampton in 2020, Master of Management in Business Administration from Dalian University of Technology in 2021, and B.Sc. in Geographic Information Systems from Liaoning Normal University in 2014.

Student Supervision and Teaching

I welcome undergraduate and master's students who are interested in large language models, medical AI, graph neural networks, bioinformatics identification, multi-agent systems, and interactive reinforcement learning to contact me for research discussion and collaboration.

Courses taught include: Natural Language Processing and Knowledge Representation, Game Theory and Reinforcement Learning, and Multi-Agent and Human-Machine Hybrid Intelligence.

Education and Experience

• 2024.01 - Present, Department of Artificial Intelligence, School of Artificial Intelligence, Xiamen University of Technology.
• 2020.09 - 2023.11, Ph.D. in Computer Science, University of Southampton, UK.
• 2019.09 - 2020.11, M.Sc. in Artificial Intelligence, University of Southampton, UK.
• 2018.09 - 2021.06, Master of Management in Business Administration, Dalian University of Technology, China.
• 2010.09 - 2014.06, B.Sc. in Geographic Information Systems, Liaoning Normal University, China.

Publications

• [ASOC] Adaptive Confidence-Guided Graph Representation Learning for Reliable Truth Inference in Crowdsourcing
  Haitao Y, Xueqin Z, Chi X, Ping Z, Zhongqi C, Zhaori G*
  Applied Soft Computing, 2026. JCR Q1 TOP Journal (2026 IF = 7.8).
• [IS] Graph-level contrastive learning algorithm based on multi-layer views and clustering information
  Ping L, Tao Z, Zhaori G*, Rende H*, Kaibiao L
  Information Sciences, 2026: 124242. JCR Q1 TOP Journal (2026 IF = 6.0).
• [AAMAS] Scalable Knothe-Rosenblatt-like Heuristic Transportation Plans for Imaging Problems
  Gennaro A, Min L, Lingxuan Z, Zhaori G*, Zhongqi C*
  The 2026 International Conference on Autonomous Agents and Multiagent Systems, 2026: 977-985. CORE-A* Conference, Oral.
• [NN] DiffGAT-DDI: Asymmetric Drug-Drug Interaction Prediction Based on Diffusion-Augmented Graph Attention Network
  Lei Z, Fan Y, Jie X, Kaibiao L*, Zhaori G*
  Neural Networks, 2026: 109134. JCR Q1 TOP Journal (2026 IF = 6.3).
• [ESWA] A Cautious Multi-Advisor Sequential Decision-Making Strategy without Ground Truth for Maximizing the Profits
  Zhaori G, Haitao Y, Timothy J. N, Enrico H. G, Gennaro A, Zhongqi C*
  Expert Systems with Applications, 2025, 286: 128004. JCR Q1 TOP Journal (2026 IF = 7.5).
• [ASOC] Multi-Scale Sub-Graph Contrastive Learning based on Siamese Network
  Rende H, Kaibiao L, Binsheng H, Zhaori G*, Fan Y*
  Applied Soft Computing, 2025, 182: 113608. JCR Q1 TOP Journal (2026 IF = 7.8).
• [AMAI] Multi-trainer Binary Feedback Interactive Reinforcement Learning
  Zhaori G*, Timothy J. N, Enrico H. G
  Annals of Mathematics and Artificial Intelligence, 2024, 93(4): 491-516. JCR Q3 Journal (2026 IF = 1).
• [AAMAS] MADDM: Multi-Advisor Dynamic Binary Decision-Making by Maximizing the Utility
  Zhaori G*, Timothy J. N, Enrico H. G
  The 2023 International Conference on Autonomous Agents and Multiagent Systems, 2023: 2013-2021. CORE-A* Conference, Oral.
• [AAMAS] Multi-advisor Dynamic Decision Making
  Zhaori G*
  The 2023 International Conference on Autonomous Agents and Multiagent Systems, 2023: 2949-2951. CORE-A* Conference.
• [PRIMA] MTIRL: Multi-trainer Interactive Reinforcement Learning System
  Zhaori G*, Timothy J. N, Enrico H. G
  International Conference on Principles and Practice of Multi-Agent Systems, 2022: 227-242. EI Conference, Best Paper Nomination.
• [EAAI] Simultaneously Local and Global Contrastive Learning of Graph Representations
  Shuai A, Binsheng H, Zhaori G, Shunzhi Z, Kaibiao L*, Fan Y*
  Engineering Applications of Artificial Intelligence, 2025, 145: 110203. JCR Q1 TOP Journal (2026 IF = 8).

Patents

• Confidence-guided adaptive graph representation enhancement learning method, device, and medium, Zhaori Guo, Haitao Yu, Zhongqi Cai, Xueqin Zheng, Kaibiao Lin, et al.
• Method and apparatus for legal judgment prediction addressing confusion among similar labels, Zhongqi Cai, Huaqing Zhao, Xiaozhu Xie, Kaibiao Lin, Zhaori Guo, et al.
• System and method for asymmetric drug-drug interaction prediction based on diffusion graph attention networks, Kaibiao Lin, Lei Zhang, Zhaori Guo.

Research Projects

• Fujian Provincial Science and Technology Plan General Program: Argumentation-based multi-agent game and preference alignment framework for doctor-patient shared decision-making, RMB 100,000, 2026-2028, Principal Investigator.
• Xiamen Natural Science Foundation: Multimodal evidence fusion and interpretable hypergraph neural network methods for complex disease diagnosis and treatment, RMB 50,000, 2026-2028, Principal Investigator.
• XMUT High-Level Talent Project: Development of multi-advisor sequential decision-making models without ground truth / YKJ24016R, RMB 150,000, 2024-2027, Principal Investigator.
• Industry Collaboration Project: Research on E-Commerce Digital System Development, RMB 500,000, 2026–2027, Principal Investigator.
• Industry Collaboration Project: Integrated System for the Digital and Intelligent Transformation of Cultural and Creative Enterprisest, RMB 250,000, 2026–2027, Principal Investigator.
• Industry Collaboration Project: Research and development of key technologies for efficient and intelligent real-review inference of products, RMB 40,000, 2026–2027, Principal Investigator.
• Fujian Provincial Science and Technology Plan General Program: Continuous structural counterfactual hypergraph explanation methods for metabolic networks, RMB 100,000, 2026-2028, Participant.
• Xiamen Natural Science Foundation: Multi-omics disentangled interpretable learning methods for causal analysis of cancer gene modules, RMB 50,000, 2025-2027, Participant.
• XMUT High-Level Talent Project: Multi-influence propagation optimization based on heterogeneous mean field and heterogeneous graph neural networks, RMB 150,000, 2025-2027, Participant.
• Industry Collaboration Project: Research and development of key technologies for product marketing based on social-network influence maximization, RMB 20,000, 2026-2028, Participant.

Contact

Zhaori Guo
Department of Artificial Intelligence
School of Electrical Engineering and Automation
Xiamen University of Technology
Email: zhaoriguo@xmut.edu.cn