collaborators

10 papers

cs.LG2026

Flag Varieties: A Geometric Framework for Deep Network Alignment

Jingchuan Xiao, Xinyi Sui, Cihan Ruan

Alignment, the tendency of adjacent weight matrices in deep networks to develop compatible subspace orientations, underlies gradient flow, Neural Collapse, and representation simil…

cs.LG2026

Geometric and Spectral Alignment for Deep Neural Network II

Ziran Liu, Wei Wang, Jinhao Wang +5

This paper develops the angular and static-channel component of Geometric and Spectral Alignment for residual Jacobian chains. Starting from Cartan-coordinate rigidity and fitted e…

cs.LG2026

Geometric and Spectral Alignment for Deep Neural Network I

Ziran Liu, Wei Wang, Jinhao Wang +5

Deep residual architectures are modeled as products of near-identity Jacobians. This paper proves deterministic quotient-geometric estimates for singular spectra of Frobenius-norma…

cs.HC2026

What Did They Mean? How LLMs Resolve Ambiguous Social Situations across Perspectives and Roles

Qiming Yuan, Linyi Han, Nam Ling +1

People increasingly turn to large language models (LLMs) to interpret ambiguous social situations: a delayed text reply, an unusually cold supervisor, a teacher's mixed signals, or…

cs.CV2026

From Pixels to Nucleotides: End-to-End Token-Based Video Compression for DNA Storage

Cihan Ruan, Lebin Zhou, Bingqing Zhao +8

DNA-based storage has emerged as a promising approach to the global data crisis, offering molecular-scale density and millennial-scale stability at low maintenance cost. Over the p…

cs.CV2026

Analysis of Converged 3D Gaussian Splatting Solutions: Density Effects and Prediction Limit

Zhendong Wang, Cihan Ruan, Jingchuan Xiao +5

We investigate what structure emerges in 3D Gaussian Splatting (3DGS) solutions from standard multi-view optimization. We term these Rendering-Optimal References (RORs) and analyze…

cs.LG2026

SCONE: A Practical, Constraint-Aware Plug-in for Latent Encoding in Learned DNA Storage

Cihan Ruan, Lebin Zhou, Rongduo Han +6

DNA storage has matured from concept to practical stage, yet its integration with neural compression pipelines remains inefficient. Early DNA encoders applied redundancy-heavy cons…

cs.CV2026

Thinking Like Van Gogh: Structure-Aware Style Transfer via Flow-Guided 3D Gaussian Splatting

Lebin Zhou, Jingchuan Xiao, Zhendong Wang +4

In 1888, Vincent van Gogh wrote, "I am seeking exaggeration in the essential." This principle, amplifying structural form while suppressing photographic detail, lies at the core of…

cs.CV2025

ISCS: Parameter-Guided Feature Pruning for Resource-Constrained Embodied Perception

Jinhao Wang, Nam Ling, Wei Wang +1

Prior studies in embodied AI consistently show that robust perception is critical for human-robot interaction, yet deploying high-fidelity visual models on resource-constrained age…

eess.IV2025

TVC: Tokenized Video Compression with Ultra-Low Bit Rate

Lebin Zhou, Cihan Ruan, Nam Ling +3

Tokenized visual representations have shown promise in image compression, yet their extension to video remains underexplored due to the challenges posed by complex temporal dynamic…