collaborators

8 papers

cs.AI2026

DecodeShare: Tracing the Shared Subspace of LLM Decode-Time Decisions

Zishan Shao, Lixun Zhang, Kangning Cui +10

Large language models (LLMs) handle many tasks with one set of parameters, but under KV-cached inference it is unclear what task-general structure, if any, is used at decode time r…

cs.CV2026

ELDOR: A Dataset and Benchmark for Illegal Gold Mining in the Amazon Rainforest

Kangning Cui, Surendra Bohara, Suraj Prasai +12

Illegal gold mining in the Amazon rainforest causes deforestation, water contamination, and long-term ecosystem disruption, yet remains difficult to monitor at fine spatial scales.…

cs.LG2026

FlashSVD v1.5: Making Low-Rank Transformers Inference Actually Fast

Wenhao Wu, Zishan Shao, Kangning Cui +5

SVD-based Low-rank compression reduces transformer parameters and nominal FLOPs, but these savings often translate poorly into real LLM serving speedups. We show that this gap is l…

cs.LG2026

ZEUS: Accelerating Diffusion Models with Only Second-Order Predictor

Yixiao Wang, Ting Jiang, Zishan Shao +6

Denoising generative models deliver high-fidelity generation but remain bottlenecked by inference latency due to the many iterative denoiser calls required during sampling. Trainin…

cs.CL2026

T2S-Bench & Structure-of-Thought: Benchmarking and Prompting Comprehensive Text-to-Structure Reasoning

Qinsi Wang, Hancheng Ye, Jinhee Kim +12

Think about how human handles complex reading tasks: marking key points, inferring their relationships, and structuring information to guide understanding and responses. Likewise,…

stat.ML2025

Enhanced Cyclic Coordinate Descent Methods for Elastic Net Penalized Linear Models

Yixiao Wang, Zishan Shao, Ting Jiang +1

We present a novel enhanced cyclic coordinate descent (ECCD) framework for solving generalized linear models with elastic net constraints that reduces training time in comparison t…