Kaijie Xu

According to our database, Kaijie Xu authored at least 13 papers between 2024 and 2026.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of four.

2026

How Far Can We Go with Pixels Alone? A Pilot Study on Screen-Only Navigation in Commercial 3D ARPGs.

Kaijie Xu, Mustafa Bugti, Clark Verbrugge

CoRR, February, 2026

(Perlin) Noise as AI coordinator.

Kaijie Xu, Clark Verbrugge

CoRR, February, 2026

High Dimensional Procedural Content Generation.

Kaijie Xu, Clark Verbrugge

CoRR, February, 2026

Deconstructing Open-World Game Mission Design Formula: A Thematic Analysis Using an Action-Block Framework.

Kaijie Xu, Yiwei Zhang, Brian Yang, Clark Verbrugge

Proceedings of the 2026 CHI Conference on Human Factors in Computing Systems, 2026

CSP4SDG: Constraint and Information-Theory Based Role Identification in Social Deduction Games with LLM-Enhanced Inference.

Kaijie Xu, Fandi Meng, Clark Verbrugge, Simon Mark Lucas

Proceedings of the Fortieth AAAI Conference on Artificial Intelligence, 2026

2025

Adaptive Visual Navigation Assistant in 3D RPGs.

Kaijie Xu, Clark Verbrugge

CoRR, August, 2025

A Database-Driven Framework for 3D Level Generation with LLMs.

Kaijie Xu, Clark Verbrugge

CoRR, August, 2025

Generic Guard AI in Stealth Game with Composite Potential Fields.

Kaijie Xu, Clark Verbrugge

CoRR, August, 2025

Constraint Is All You Need: Optimization-Based 3D Level Generation with LLMs.

Kaijie Xu, Clark Verbrugge

Proceedings of the 20th International Conference on the Foundations of Digital Games, 2025

Action Window Planning for Stealth Missions.

Kaijie Xu, Clark Verbrugge

Proceedings of the IEEE Conference on Games, 2025

Quantitative Analysis of Visual Guidance in Level Transitions Using Multimodal Visual Metrics.

Kaijie Xu, Clark Verbrugge

Proceedings of the IEEE Conference on Games, 2025

Constraint Propagation for Reasoning in Single-Player Deduction Games.

Fandi Meng, Kaijie Xu, Simon M. Lucas

Proceedings of the IEEE Conference on Games, 2025

2024

FedFDD: Federated Learning with Frequency Domain Decomposition for Low-Dose CT Denoising.

Xuhang Chen, Zeju Li, Zikun Xu, Kaijie Xu, Cheng Ouyang, Chen Qin

Proceedings of the Medical Imaging with Deep Learning, 3-5 July 2024, Paris, France., 2024