14 citations · 14 across the 4 of their papers we have counts for
5 papers
Competition Domains Matter: Selective Head Globalization for Training-Free Sparse Attention in Video Diffusion Transformers
Tiantian Liu, Meng Wan, Zhiqiang Liang +3
Training-free sparse attention is a practical route to efficient video diffusion transformer inference, yet existing methods typically fix the competition domain at each query row…
DN-Hypo-Pipeline: An AI-Driven Workflow for Generating Hypotheses using Large Language Models and Scientific Explanations
Lei Lin, Xinlong Pan, Ronghao Wang +4
Modern artificial intelligence excels at prediction but cannot explain. From large language models to AI-for-science systems, today's machines answer what by recombining patterns a…
Lossless Compression: A New Benchmark for Time Series Model Evaluation
Meng Wan, Benxi Tian, Jue Wang +7
The evaluation of time series models has traditionally focused on four canonical tasks: forecasting, imputation, anomaly detection, and classification. While these tasks have drive…
Neutron particle transport 3D method of characteristic Multi GPU platform Parallel Computing
Faguo Zhou, Shunde Li, Rong Xue +9
Three-dimensional neutron transport calculations using the Method of Characteristics (MOC) are highly regarded for their exceptional computational efficiency, precision, and stabil…
Acc-SpMM: Accelerating General-purpose Sparse Matrix-Matrix Multiplication with GPU Tensor Cores
Haisha Zhao, San Li, Jiaheng Wang +10
General-purpose Sparse Matrix-Matrix Multiplication (SpMM) is a fundamental kernel in scientific computing and deep learning. The emergence of new matrix computation units such as…