Springer CCIS · Volume 3221

Proceedings

Knowledge and Systems Sciences — the refereed papers of KSS 2026, now online

Cover of Knowledge and Systems Sciences, KSS 2026 proceedings, Springer CCIS volume 3221
Published online · 3 November 2026

Knowledge and Systems Sciences

25th International Symposium, KSS 2026, Auckland, New Zealand, November 13–15, 2026, Proceedings

Edited by Xijin Tang · Haoxiang Xia · Quan Bai · Tek Tjing Lie · Weihua Li

Series
Communications in Computer and Information Science (CCIS), volume 3221
Publisher
Springer Nature Singapore
Papers
21 full papers
DOI
10.1007/978-981-92-7652-3
ISBN
978-981-92-7651-6 (print)
eISBN
978-981-92-7652-3 (online)
Access the proceedings on SpringerLink

Opens link.springer.com in a new tab

Free access for KSS 2026 participants

Springer has granted all conference participants complimentary access to the full proceedings for a limited period of about four to six weeks after publication. Access is unlocked automatically when you open the volume through the link on this page — no login, code or payment is needed.

If SpringerLink asks you to purchase a chapter, return to this page and click the button above again. Authors also receive their own access from Springer directly.

In this volume

Twenty-one full papers, carefully reviewed and selected for presentation at KSS 2026, spanning knowledge creation, systems engineering, learning and intelligent systems, medical and social applications, and the dynamics of opinion and misinformation.

  1. 01

    Towards Harmonic Intelligence in Human-AI Collaborative Knowledge Creation

    Shuangling Luo, Siyao Jiang, Haoxiang Xia

    pp. 3–17
  2. 02

    Combination of Systems Engineering and Model-Based Systems Engineering Ontologies: IOF Approach

    Mengru Dong, Guoxin Wang, Jinzhi Lu, Aoting Yu

    pp. 18–31
  3. 03

    Making Building Sustainable and Resilient Digital Futures: A UTAUT-Based Cybersecurity Intervention Protocol and Synthetic Analytical Demonstration

    Md Rajib Hasan, Noor H. S. Alani, Nurul I. Sarkar

    pp. 32–46
  4. 04

    Benchmarking KARMA Inspired Semantic Structuring for LLM Based Retrieval of UAV Propulsion Components

    Tianning Liu, Xiaodu Hu, Bangjun Guo, Yifan Bai, Ye An, Jinzhi Lu

    pp. 47–60
  5. 05

    A Three-Stage Pareto Decision Support Framework for Sustainable Computing Scheduling: Bridging the Optimization–Decision Gap

    Ming Sun

    pp. 61–75
  6. 06

    In-Batch Global-Objective-Preserving Candidate-Listwise Dual-Tower Learning for Fine-Grained Intent Recognition

    Jingchao Wang, Xingfen Wang

    pp. 79–93
  7. 07

    Episodic Progress Reward Models for LLM-Based Reward Generation in Reinforcement Learning

    Ruiyuan Zhang, Xianchao Zhu, Van-Nam Huynh

    pp. 94–109
  8. 08

    What the Agent Inherits: Auditing Epistemic Hazards in Clinical Screening Benchmarks for Agentic AI

    Phuong H. N. Dang, Khang Dang, Minh Nguyen, Samaneh Madanian

    pp. 110–124
  9. 09

    PECA: A Position-Exchange Conversational Agent for Mutual Understanding in Left-Behind Families

    Yilin Zhang, Ziying Zhao, Changxue Wu, Weihua Li

    pp. 125–139
  10. 10

    ConXCLIP: Concept-Enhanced Vision-Language Learning for Chest X-Ray Classification

    Dang-Man Nguyen, Toan Nguyen-Mau, Duc-Vinh Vo, Van-Nam Huynh

    pp. 140–154
  11. 11

    Prototype-Guided Cross-Behavior State Interaction for Mobile Sensing-Based Depression Risk Detection

    Bo Zhu, Zhu Zhang, Zhijun Yan, Fei Peng

    pp. 155–170
  12. 12

    Dynamic Label Assignment via Reinforcement Learning for Tiny Object Detection

    Xingke Li, Jue Wang, Zhongzhao Zhang, Deqiang Hu, Junyi Qu, Yitao Wang, Xianneng Li

    pp. 171–185
  13. 13

    Fake News Detection via Key-Entities Knowledge-Enhanced Prompt Learning

    Yanxuan Wang, Jindong Chen, Wen Zhang

    pp. 186–201
  14. 14

    Measuring What RAG Reranking Hides: A Behavioral Framework and the Fragility of Correctness Metrics

    Gehad Abdullah Amran, Shihang Sun, Junyi Qu, Yitao Wang, Xianneng Li

    pp. 202–217
  15. 15

    Discovering Causal Graphs and Interpretable Structural Equations in Nonlinear Time Series

    Bing Yan, Guangfei Yang, Wenli Li

    pp. 218–232
  16. 16

    Research on the Network Public Opinion Characteristics and Risks of “Deepfake” Image Incidents in Natural Disaster Scenarios

    Yuxue Chi, Mingzhu Wang

    pp. 235–250
  17. 17

    Rumor Propagation in Higher-Order Networks with Trust-Skepticism Dual Cognitive Mechanisms

    Zhihua Yan, Xijin Tang, Zhenpeng Li

    pp. 251–264
  18. 18

    Conformity Dynamics in LLM Multi-agent Systems: The Roles of Topology and Self–social Weighting

    Chen Han, Xijin Tang

    pp. 265–280
  19. 19

    Discovering Later-Life Volunteer Participation Patterns Through Latent Class Analysis: Evidence from Older Adults in Beijing

    Aihua Li, Sifan Chen, Juxiang Hu

    pp. 281–297
  20. 20

    Access to Peer Review! EASE: An LLM-Enabled Evidence-Augmented Screening Engine

    Yijia Ma, Xijin Tang

    pp. 298–313
  21. 21

    Automated Identification of Systemically Important Banks with Graph Representation Learning and Graph Classification

    Yi Qu, Muyang Li, Shuyang Peng, Yong Shi

    pp. 314–324

How to cite

Reference the volume as a whole, or cite individual papers using their chapter DOIs on SpringerLink.

Tang, X., Xia, H., Bai, Q., Lie, T.T., Li, W. (eds.): Knowledge and Systems Sciences. 25th International Symposium, KSS 2026, Auckland, New Zealand, November 13–15, 2026, Proceedings. Communications in Computer and Information Science, vol. 3221. Springer, Singapore (2027). https://doi.org/10.1007/978-981-92-7652-3