Shuaijun Liu, Ningxin Su#
Manuscript under review 2026
Models long-horizon robot task planning as hierarchical concept prediction, symbolic dependency repair, and behavior-tree compilation for more executable and logically consistent plans.
Shuaijun Liu, Ningxin Su#
Manuscript under review 2026
Models long-horizon robot task planning as hierarchical concept prediction, symbolic dependency repair, and behavior-tree compilation for more executable and logically consistent plans.
Shuaijun Liu, Ningxin Su#
Manuscript under review 2026
Improves object selection, spatial-relation understanding, and history-conditioned manipulation through structured representations of task semantics and interaction context.
Shuaijun Liu, Ningxin Su#
Manuscript under review 2026
Improves object selection, spatial-relation understanding, and history-conditioned manipulation through structured representations of task semantics and interaction context.
Shuaijun Liu, Ningxin Su#
Manuscript under review 2026
Studies action reliability under appearance shifts and task-semantic changes, aiming to preserve stable behavior under semantic invariance while separating actions correctly when goals, constraints, or order change.
Shuaijun Liu, Ningxin Su#
Manuscript under review 2026
Studies action reliability under appearance shifts and task-semantic changes, aiming to preserve stable behavior under semantic invariance while separating actions correctly when goals, constraints, or order change.
Shuaijun Liu, Ningxin Su#
Manuscript under review 2026
Builds reproducible simulation tasks for marine robots by integrating bathymetry, currents, tides, and pollution-field information across navigation, inspection, scanning, cleanup, and collaboration settings.
Shuaijun Liu, Ningxin Su#
Manuscript under review 2026
Builds reproducible simulation tasks for marine robots by integrating bathymetry, currents, tides, and pollution-field information across navigation, inspection, scanning, cleanup, and collaboration settings.
Shuaijun Liu, Feiyang You, Xingwei Chen, Ningxin Su#
International Conference on Machine Learning (ICML) 2026 Main (Regular)
Studies replanning overhead in long-horizon embodied agents and introduces a budgeted replanning framework with adaptive replanning decisions, token budgets, latency SLOs, and context compression.
Shuaijun Liu, Feiyang You, Xingwei Chen, Ningxin Su#
International Conference on Machine Learning (ICML) 2026 Main (Regular)
Studies replanning overhead in long-horizon embodied agents and introduces a budgeted replanning framework with adaptive replanning decisions, token budgets, latency SLOs, and context compression.
Shuaijun Liu, Jinqiu Du, Yaxin Zheng, Yuhui Deng, Jingjin Wu#
Computer Networks 2026
Integrates UAV attitude control, 3D trajectory planning, and task assignment into an energy-aware optimization framework for UAV-assisted fog computing.
Shuaijun Liu, Jinqiu Du, Yaxin Zheng, Yuhui Deng, Jingjin Wu#
Computer Networks 2026
Integrates UAV attitude control, 3D trajectory planning, and task assignment into an energy-aware optimization framework for UAV-assisted fog computing.
Shuaijun Liu, Jiaying Yin, Yuhui Deng, Jingjin Wu#
International Telecommunication Networks and Applications Conference (ITNAC) 2024
Uses meteorological and topographical data to assess UAV flight risk and adjust trajectories for safer and more efficient deployment.
Shuaijun Liu, Jiaying Yin, Yuhui Deng, Jingjin Wu#
International Telecommunication Networks and Applications Conference (ITNAC) 2024
Uses meteorological and topographical data to assess UAV flight risk and adjust trajectories for safer and more efficient deployment.
Shuaijun Liu, Jiaying Yin, Zishu Zeng, Jingjin Wu#
IEEE 24th International Conference on High Performance Computing and Communications (HPCC) 2022
Studies UAV trajectory planning, resource allocation, and task assignment for UAV-assisted fog computing, improving energy-delay efficiency over baseline algorithms.
Shuaijun Liu, Jiaying Yin, Zishu Zeng, Jingjin Wu#
IEEE 24th International Conference on High Performance Computing and Communications (HPCC) 2022
Studies UAV trajectory planning, resource allocation, and task assignment for UAV-assisted fog computing, improving energy-delay efficiency over baseline algorithms.