30 citations · 32 across the 23 of their papers we have counts for
9 papers · 1 filter
SCP: Accelerating Discovery with a Global Web of Autonomous Scientific Agents
Yankai Jiang, Wenjie Lou, Lilong Wang +17
We introduce SCP: the Science Context Protocol, an open-source standard designed to accelerate discovery by enabling a global network of autonomous scientific agents. SCP is built…
MemMamba: Rethinking Memory Patterns in State Space Model
Youjin Wang, Yangjingyi Chen, Jiahao Yan +2
With the explosive growth of data, long-sequence modeling has become increasingly important in tasks such as natural language processing and bioinformatics. However, existing metho…
From What to Why: A Multi-Agent System for Evidence-based Chemical Reaction Condition Reasoning
Cheng Yang, Jiaxuan Lu, Haiyuan Wan +2
The chemical reaction recommendation is to select proper reaction condition parameters for chemical reactions, which is pivotal to accelerating chemical science. With the rapid dev…
DeepResearch Arena: The First Exam of LLMs' Research Abilities via Seminar-Grounded Tasks
Haiyuan Wan, Chen Yang, Junchi Yu +10
Deep research agents have attracted growing attention for their potential to orchestrate multi-stage research workflows, spanning literature synthesis, methodological design, and e…
MSGM: A Multi-Scale Spatiotemporal Graph Mamba for EEG Emotion Recognition
Hanwen Liu, Yifeng Gong, Zuwei Yan +2
EEG-based emotion recognition struggles with capturing multi-scale spatiotemporal dynamics and ensuring computational efficiency for real-time applications. Existing methods often…
HyDRA: A Hybrid Dual-Mode Network for Closed- and Open-Set RFFI with Optimized VMD
Hanwen Liu, Yuhe Huang, Yifeng Gong +2
Device recognition is vital for security in wireless communication systems, particularly for applications like access control. Radio Frequency Fingerprint Identification (RFFI) off…
Hypergraph Mamba for Efficient Whole Slide Image Understanding
Jiaxuan Lu, Yuhui Lin, Junyan Shi +4
Whole Slide Images (WSIs) in histopathology pose a significant challenge for extensive medical image analysis due to their ultra-high resolution, massive scale, and intricate spati…
PathOrchestra: A Comprehensive Foundation Model for Computational Pathology with Over 100 Diverse Clinical-Grade Tasks
Fang Yan, Jianfeng Wu, Jiawen Li +24
The complexity and variability inherent in high-resolution pathological images present significant challenges in computational pathology. While pathology foundation models leveragi…
MV-GMN: State Space Model for Multi-View Action Recognition
Yuhui Lin, Jiaxuan Lu, Yue Yong +1
Recent advancements in multi-view action recognition have largely relied on Transformer-based models. While effective and adaptable, these models often require substantial computat…