Automorphism-Induced Non-Canonicity in Top-k Explanations of Graph Neural Networks

Xin Xu, Siru Tao, Kaizhen Tan

The paper shows that gradient‑based explainers for graph neural networks can produce arbitrary top‑k edge explanations when the input graph has nontrivial automorphisms, and provid…

What Can Latent World Models Know? Physical Parameter Identifiability in Multimodal Predictive Representations

Kaizhen Tan, Xin Xu, Siru Tao +4

The paper investigates which physical properties (mass, drag, stiffness) are encoded in latent world models by using controlled interventions in a simulated multimodal environment…

How Many Bits Can an Adapter Write? Measuring the Capacity and Memorization of Parameter-Efficient Fine-Tuning

Kaizhen Tan, Heqing Du, Yang Feng

Decoding Tourist Perception in Historic Urban Quarters with Multimodal Social Media Data: An AI-Based Framework and Evidence from Shanghai

Kaizhen Tan, Yufan Wu, Yuxuan Liu +1

UrbanVGGT: Scalable Sidewalk Width Estimation from Street View Images

Kaizhen Tan, Fan Zhang

A Spatiotemporal Adaptive Local Search Method for Tracking Congestion Propagation in Dynamic Networks

Weihua Huan, Kaizhen Tan, Xintao Liu +4

GeoFidelity-Bench: Evaluating Segment-Level Geographic Fidelity in Text-to-Image Street-View Generation

Kaizhen Tan, Hanzhe Hong, Siru Tao

When Does Visual Token Pruning Improve Calibration? The Role of Evidence Coverage in MLLMs

Kaizhen Tan, Yang Feng, Heqing Du +3

Multimodal Deep Learning for ATCO Command Lifecycle Modeling and Workload Prediction

Kaizhen Tan

CREG: Compass Relational Evidence Graph for Characterizing Directional Structure in VLM Spatial-Reasoning Attribution

Kaizhen Tan, Yang Feng, Heqing Du

Collusion with Competitive Marginals: Price-Level Audits Are Blind by Construction

Xin Xu, Chengrui Wu, Jiayu Lu +3

CacheWeaver: Cache-Aware Evidence Ordering for Efficient Grounded RAG Inference

Kaizhen Tan, Rong Gu, Mingyuan Li