4 citations · 10 across the 12 of their papers we have counts for
4 papers · 1 filter
Kalman Delta Networks: Uncertainty-aware Associative Memory
Ngoc Bui, Tinglin Huang, Rex Ying
Linear attention enables efficient long-context inference by compressing token history into a fixed-size recurrent memory. This compression makes each update a trade-off between in…
Predicting Immune Biomarkers with MultiModal Mixture-of-Expert Pathology Foundation Models Empowers Precision Oncology
Tianyu Liu, Ziqing Wang, Zhaokang Liang +12
Predicting immune biomarkers associated with the tumor immune microenvironment (TIME) is critical for advancing precision oncology, yet existing approaches are largely limited to s…
Steerable Instruction Following Coding Data Synthesis with Actor-Parametric Schema Co-Evolution
Tinglin Huang, Bo Chen, Xiao Zhang +2
Interpreting and following human instructions is a critical capability of large language models (LLMs) in automatic programming. However, synthesizing large-scale instruction-paire…
Efficient Long-Horizon Vision-Language-Action Models via Static-Dynamic Disentanglement
Weikang Qiu, Huashuo Lei, Tinglin Huang +1
Vision-Language-Action (VLA) models have recently emerged as a promising paradigm for generalist robotic control. Built upon vision-language model (VLM) architectures, VLAs predict…