Papers
Guided Distillation and Risk Adaptive Evolution for Multi-Robot Navigation
Xuyang Li, Jianwu Fang, Lin Li et al.
Adaptive Fidelity Estimation for Quantum Programs with Graph-Guided Noise Awareness
Tingting Li, Ziming Zhao, Jianwei Yin
RFF-TTA: Physical Information-Aware Prototype for Temporally Varying RF Fingerprinting Online Test-Time-Adaptation
Taotao Li, Yiyang Li, Zhenyu Wen et al.
Beyond Fully Supervised Pixel Annotations: Scribble-Driven Weakly-Supervised Framework for Image Manipulation Localization
Songlin Li, Guofeng Yu, Zhiqing Guo et al.
MergeDNA: Context-Aware Genome Modeling with Dynamic Tokenization Through Token Merging
Siyuan Li, Kai Yu, Anna Wang et al.
PLA-MGRA: Multi-Granularity and Relation-Aware Learning for Efficient and Generalizable Protein-Ligand Binding Affinity Prediction
Shunfan Li, Jiangkai Long, Xin Zou et al.
Intention Chain-of-Thought Prompting with Dynamic Routing for Code Generation
Shen Li, Li Huang, Shaoxiong Zhan et al.
WeightFlow: Learning Stochastic Dynamics via Evolving Weight of Neural Network
Ruikun Li, Jiazhen Liu, Huandong Wang et al.
Detecting Fake News in Short Videos Through Multi-View Aggregation
Nuo Li, Yuan Xiong, Chengliang Liu et al.
Learning Cell-Aware Hierarchical Multi-Modal Representations for Robust Molecular Modeling
Mengran Li, Zelin Zang, Wenbin Xing et al.
Scalable Vision-Guided Crop Yield Estimation
Harrison H Li, Medhanie Irgau, Nabil Janmohamed et al.
MetaDiT: Enabling Fine-grained Constraints in High-degree-of Freedom Metasurface Design
Hao Li, Andrey Bogdanov
anyECG-chat: A Generalist ECG-MLLM for Flexible ECG Input and Multi-Task Understanding
Haitao Li, Ziyu Li, Yiheng Mao et al.
Drifting Away from Truth: GenAI-Driven News Diversity Challenges LVLM-Based Misinformation Detection
Fanxiao Li, Jiaying Wu, Tingchao Fu et al.
Do Large Language Models Think like the Brain? Sentence-Level Evidences from Layer-Wise Embeddings and fMRI
Yu Lei, Xingyang Ge, Yi Zhang et al.
BugSweeper: Function-Level Detection of Smart Contract Vulnerabilities Using Graph Neural Networks
Uisang Lee, Changhoon Chung, Junmo Lee et al.
RAG-Enhanced Collaborative LLM Agents for Drug Discovery
Namkyeong Lee, Edward De Brouwer, Ehsan Hajiramezanali et al.
OneFont: A Unified Agent for End-to-End Font Creation
Yingxin Lai, Yufei Liu, Guoqing Yang et al.
RLSLM: A Hybrid Framework Combining Reinforcement Learning and a Rule-based Social Locomotion Model for Socially-aware Navigation
Yitian Kou, Yihe Gu, Chen Zhou et al.
Targeted Pathway Inference for Biological Knowledge Bases via Graph Learning and Explanation
Rikuto Kotoge, Ziwei Yang, Zheng Chen et al.
SVD-NO: Learning PDE Solution Operators with SVD Integral Kernels
Noam Koren, Ralf J. J. Mackenbach, Ruud J. G. van Sloun et al.
Stochastic Universal Adversarial Perturbations with Fixed Optimization Constraint and Ensured High-probability Transferability
Yulin Jin, Xiaoyu Zhang, Haoyu Tong et al.
FinRpt: Dataset, Evaluation System and LLM-based Multi-agent Framework for Equity Research Report Generation
Song Jin, Shuqi Li, Shukun Zhang et al.
Magnitude-Modulated Equivariant Adapter for Parameter-Efficient Fine-Tuning of Equivariant Graph Neural Networks
Dian Jin, Yancheng Yuan, Xiaoming Tao
RMSAGen: Integrating Multiple Sequence Alignment for Function RNA Design
Jiyue Jiang, Yanyu Chen, Qingchuan Zhang et al.