collaborators

12 papers

stat.ML2026

CORA: Per-Slice Coherent Orthogonal Rotation for SVD-based Low-Rank Adaptation

Pengcheng Wang, Ziran Liu, Wei Wang +1

Parameter-Efficient Fine-Tuning (PEFT) commonly adapts pretrained weights through low-rank updates, and recent methods further exploit the singular value decomposition (SVD) of the…

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.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.CL2026

Efficient Post-Training Pruning of Large Language Models with Statistical Correction

Peiqi Yu, Jinhao Wang, Xinyi Sui +3

Post-training pruning is an effective approach for reducing the size and inference cost of large language models (LLMs), but existing methods often face a trade-off between pruning…

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…