output
20102025
most citedExperimental observation of information flow in the anti--symmetric system

51 citations

43 papers

cs.RO2025

Safe Path Planning and Observation Quality Enhancement Strategy for Unmanned Aerial Vehicles in Water Quality Monitoring Tasks

Yuanshuang Fu, Qianyao Wang, Qihao Wang +4

Unmanned Aerial Vehicle (UAV) spectral remote sensing technology is widely used in water quality monitoring. However, in dynamic environments, varying illumination conditions, such…

cs.AI2025

LocalSearchBench: Benchmarking Agentic Search in Real-World Local Life Services

Hang He, Chuhuai Yue, Chengqi Dong +12

Recent advances in large reasoning models LRMs have enabled agentic search systems to perform complex multi-step reasoning across multiple sources. However, most studies focus on g…

cs.CV2025

MolCLIP: A Molecular-Auxiliary CLIP Framework for Identifying Drug Mechanism of Action Based on Time-Lapsed Mitochondrial Images

Fengqian Pang, Chunyue Lei, Hongfei Zhao +4

Drug Mechanism of Action (MoA) mainly investigates how drug molecules interact with cells, which is crucial for drug discovery and clinical application. Recently, deep learning mod…

cs.RO2025★ 1 cited

LPVIMO-SAM: Tightly-coupled LiDAR/Polarization Vision/Inertial/Magnetometer/Optical Flow Odometry via Smoothing and Mapping

Derui Shan, Peng Guo, Wenshuo Li +1

We propose a tightly-coupled LiDAR/Polarization Vision/Inertial/Magnetometer/Optical Flow Odometry via Smoothing and Mapping (LPVIMO-SAM) framework, which integrates LiDAR, polariz…

cs.CR2025

A Secure Remote Password Protocol From The Learning With Errors Problem

Huapeng Li, Baocheng Wang

Secure Remote Password (SRP) protocol is an essential password-authenticated key exchange (PAKE) protocol based on the discrete logarithm problem (DLP). The protocol is specificall…

cs.CL2024★ 2 cited

An Entailment Tree Generation Approach for Multimodal Multi-Hop Question Answering with Mixture-of-Experts and Iterative Feedback Mechanism

Qing Zhang, Haocheng Lv, Jie Liu +5

With the rise of large-scale language models (LLMs), it is currently popular and effective to convert multimodal information into text descriptions for multimodal multi-hop questio…