activity
20232026
most citedGenerating Traffic Scenarios via In-Context Learning to Learn Better Motion Planner

4 citations · 5 across the 15 of their papers we have counts for

collaborators

15 papers

cs.GR2026

Benchmarking Federated Learning and Knowledge Distillation for Point Cloud Classification

Aizierjiang Aiersilan

Deploying 3D point cloud analysis in privacy-sensitive, resource-constrained settings faces two barriers: data cannot be centralized, and models must run on limited edge hardware.…

cs.CY2026

Algorithmic Authority and the Clinical Standard of Care

Aizierjiang Aiersilan

The integration of artificial intelligence into clinical medicine creates a fundamental tension between algorithmic probabilistic reasoning and the experiential intuition of expert…

cs.LG2026

Hallucination Is Linearly Decodable from Mid-Layer Hidden States in Quantized LLMs

Aizierjiang Aiersilan

We investigate whether open-source LLMs encode a linearly separable truthfulness signal in their hidden states, and at which network depth this signal is strongest. Across three $7…

cs.CR2026

On Seeding Watermarks to Detect Verbatim LLM Copy-Paste Responses

Aizierjiang Aiersilan, Artin Yousefi, Robert Pless

Large language models (LLMs) have made fluent essay writing, code drafting, and quiz answering instantly available to students at every level, from secondary school through graduat…

cs.GR2026

Representations of 3D Rotations: Mathematical Foundations and Comparative Analysis

Aizierjiang Aiersilan, Haochen Liu, James Hahn

Rotation representations are foundational in fields such as computer graphics, robotics, and machine learning, where precise and efficient modeling of 3D orientations is critical.…

cs.NI2026

Training-Free Adaptive 360-degree Video Streaming via Semantic Potential Fields

Aizierjiang Aiersilan, Zhangfei Yang

Adaptive 360° video streaming for teleoperation faces two coupled challenges: viewport prediction under uncertain gaze patterns and bitrate adaptation over fluctuating wireless cha…