papers

Publications (6)

cs.RO2020

Online State-Time Trajectory Planning Using Timed-ESDF in Highly Dynamic Environments

Delong Zhu, Tong Zhou, Jiahui Lin +2

Online state-time trajectory planning in highly dynamic environments remains an unsolved problem due to the unpredictable motions of moving obstacles and the curse of dimensionalit…

hep-ph2026

AI-Driven Discovery of Information-Efficient Collider Observables for Interference Measurements

Jiahui Lin, Yandong Liu

Optimal observables provide statistically powerful probes of small deformations from a reference theory, but in realistic collider measurements they are rarely available in compact…

cs.CV2026

GLM-5V-Turbo: Toward a Native Foundation Model for Multimodal Agents

V Team, Wenyi Hong, Xiaotao Gu +94

We present GLM-5V-Turbo, a step toward native foundation models for multimodal agents. As foundation models are increasingly deployed in real environments, agentic capability depen…

cs.RO2020

Search-Based Online Trajectory Planning for Car-like Robots in Highly Dynamic Environments

Jiahui Lin, Tong Zhou, Delong Zhu +2

This paper presents a search-based partial motion planner to generate dynamically feasible trajectories for car-like robots in highly dynamic environments. The planner searches for…

q-bio.QM2020

How initial distribution affects symmetry breaking induced by panic in ants: experiment and flee-pheromone model

Geng Li, Weijia Wang, Jiahui Lin +7

Collective escaping is a ubiquitous phenomenon in animal groups. Symmetry breaking caused by panic escape exhibits a shared feature across species that one exit is used more than t…

cs.CL2026

Can Deep Research Agents Retrieve and Organize? Evaluating the Synthesis Gap with Expert Taxonomies

Ming Zhang, Jiabao Zhuang, Wenqing Jing +18

Deep Research Agents increasingly automate survey writing, yet existing benchmarks do not jointly test whether they retrieve the papers experts consider essential and organize thos…