activity
20142024
most citedCompositional Structure Learning for Action Understanding

2 citations · 2 across the 5 of their papers we have counts for

collaborators

5 papers

cs.RO2024

Decentralized Multi-Agent Trajectory Planning in Dynamic Environments with Spatiotemporal Occupancy Grid Maps

Siyuan Wu, Gang Chen, Moji Shi +1

This paper proposes a decentralized trajectory planning framework for the collision avoidance problem of multiple micro aerial vehicles (MAVs) in environments with static and dynam…

cs.RO2024

Evaluating Dynamic Environment Difficulty for Obstacle Avoidance Benchmarking

Moji Shi, Gang Chen, Álvaro Serra Gómez +2

Dynamic obstacle avoidance is a popular research topic for autonomous systems, such as micro aerial vehicles and service robots. Accurately evaluating the performance of dynamic ob…

q-bio.QM2024

Physical formula enhanced multi-task learning for pharmacokinetics prediction

Ruifeng Li, Dongzhan Zhou, Ancheng Shen +9

Artificial intelligence (AI) technology has demonstrated remarkable potential in drug dis-covery, where pharmacokinetics plays a crucial role in determining the dosage, safety, and…

math.CO2023

Minimizing the number of edges in -co-critical graphs

Gang Chen, Chenchen Ren, Zi-Xia Song

Given graphs , a {red, blue}-coloring of the edges of a graph is a critical coloring if has neither a red nor a blue . A non-complete graph is $(H…

cs.CV20142 cited

Compositional Structure Learning for Action Understanding

Ran Xu, Gang Chen, Caiming Xiong +2

The focus of the action understanding literature has predominately been classification, how- ever, there are many applications demanding richer action understanding such as mobile…