Papers
FreeAskWorld: An Interactive and Closed-Loop Simulator for Human-Centric Embodied AI
Yuhang Peng, Yizhou Pan, Xinning He et al.
Resilient UAV Swarm with Fast Connectivity Recovery and Extensive Coverage
Yabin Peng, Chenyu Zhou, Hainan Cui et al.
Refinement Contrastive Learning of Cell–Gene Associations for Unsupervised Cell Type Identification
Liang Peng, Haopeng Liu, Yixuan Ye et al.
Improving Large Molecular Language Model via Relation-aware Multimodal Collaboration
Jinyoung Park, Minseong Bae, Jeehye Na et al.
Tracing the Heart’s Pathways: ECG Representation Learning from a Cardiac Conduction Perspective
Tan Pan, Yixuan Sun, Chen Jiang et al.
Interpretable and Robust Behavior Abstraction via Environment-Disentangled Heterogeneous Graph
Zhibin Ni, Hai Wan, Xibin Zhao
The GATTACA Framework: Graph Neural Network-Based Reinforcement Learning for Controlling Biological Networks
Andrzej Mizera, Jakub Zarzycki
BDD2Seq: Enabling Scalable Reversible-Circuit Synthesis via Graph-to-Sequence Learning
Mingkai Miao, Jianheng Tang, Guangyu Hu et al.
DRMD: Deep Reinforcement Learning for Malware Detection Under Concept Drift
Shae McFadden, Myles Foley, Mario D'Onghia et al.
MedLA: A Logic-Driven Multi-Agent Framework for Complex Medical Reasoning with Large Language Models
Siqi Ma, Jiajie Huang, Fan Zhang et al.
DynamicRTL: RTL Representation Learning for Dynamic Circuit Behavior
Ruiyang Ma, Yunhao Zhou, Yipeng Wang et al.
PHPFND: Detecting Fake News via Post-Hoc Processing of LLMs Hallucination
Jinke Ma, Jiachen Ma, Wei Zhang et al.
LLMs Unleashed: Generating Protocol Code from RFC Specifications
Junfeng Long, Jinshu Su, Biao Han
When Genes Speak: A Semantic-Guided Framework for Spatially Resolved Transcriptomics Data Clustering
Jiangkai Long, Yanran Zhu, Chang Tang et al.
CLM-Access: A Specialized Foundation Model for High-Dimensional Single-Cell ATAC-Seq Analysis
Ziqiang Liu, Bowen Li, Zhenyu Xu et al.
Predict and Resist: Long-Term Accident Anticipation Under Sensor Noise
Xingcheng Liu, Bin Rao, Yanchen Guan et al.
ProtSAE: Disentangling and Interpreting Protein Language Models via Semantically-Guided Sparse Autoencoders
Xiangyu Liu, Haodi Lei, Yi Liu et al.
NOTAM-Evolve: A Knowledge-Guided Self-Evolving Optimization Framework with LLMs for NOTAM Interpretation
Maoqi Liu, Quan Fang, Yuhao Wu et al.
Multimodal Table Understanding with Difficulty-aware Reinforcement Learning
Chaohu Liu, Haoyu Cao, YongXiang Hua et al.
CellStream: Dynamical Optimal Transport Informed Embeddings for Reconstructing Cellular Trajectories from Snapshots Data
Yue Ling, Peiqi Zhang, Zhenyi Zhang et al.
Benchmarking LLMs for Political Science: A United Nations Perspective
Yueqing Liang, Liangwei Yang, Chen Wang et al.
Factorization-in-Loop:Proximal Fill-in Minimization for Sparse Matrix Reordering
Ziwei Li, Shuzi Niu, Tao Yuan et al.
Uncovering Pretraining Code in LLMs: A Syntax-Aware Attribution Approach
Yuanheng Li, Zhuoyang Chen, Xiaoyun Liu et al.
DS-ProGen: A Dual-Structure Deep Language Model for Functional Protein Design
Yanting Li, Zikang Wang, Jiyue Jiang et al.