collaborators

8 papers

cs.CV2026

Embedding Large Language Models into Flow Controls: An Agentic Framework for Adaptive and Trustworthy Automated Cooking

Zihan Song, Hongwei Huang, Yueshuo Sun +3

Automated cooking robots have traditionally relied on predefined procedures and rule-based control, ensuring stable execution but offering limited personalization, whereas recent l…

cs.AI2026

Breaking Bad Molecules: Are MLLMs Ready for Structure-Level Molecular Detoxification?

Fei Lin, Ziyang Gong, Cong Wang +9

Toxicity remains a leading cause of early-stage drug development failure. Despite advances in molecular design and property prediction, the task of molecular toxicity repair, gener…

cs.CR2025

ToxiEval-ZKP: A Structure-Private Verification Framework for Molecular Toxicity Repair Tasks

Fei Lin, Tengchao Zhang, Ziyang Gong +1

In recent years, generative artificial intelligence (GenAI) has demonstrated remarkable capabilities in high-stakes domains such as molecular science. However, challenges related t…

cs.RO2025

CoordField: Coordination Field for Agentic UAV Task Allocation In Low-altitude Urban Scenarios

Tengchao Zhang, Yonglin Tian, Fei Lin +6

With the increasing demand for heterogeneous Unmanned Aerial Vehicle (UAV) swarms to perform complex tasks in urban environments, system design now faces major challenges, includin…

eess.SP2025

A Comprehensive Survey on Underwater Acoustic Target Positioning and Tracking: Progress, Challenges, and Perspectives

Zhong Yang, Zhengqiu Zhu, Yong Zhao +16

Underwater target tracking technology plays a pivotal role in marine resource exploration, environmental monitoring, and national defense security. Given that acoustic waves repres…

cs.RO2025

LogisticsVLN: Vision-Language Navigation For Low-Altitude Terminal Delivery Based on Agentic UAVs

Xinyuan Zhang, Yonglin Tian, Fei Lin +4

The growing demand for intelligent logistics, particularly fine-grained terminal delivery, underscores the need for autonomous UAV (Unmanned Aerial Vehicle)-based delivery systems.…