5 papers
Automated Functional Testing for Malleable Mobile Application Driven from User Intent
Yuying Wang, Kaifeng Huang, Hao Deng +3
Software malleability allows applications to be easily changed, configured, and adapted even after deployment. While prior work has explored configurable systems, adaptive recommen…
SiMO: Single-Modality-Operable Multimodal Collaborative Perception
Jiageng Wen, Shengjie Zhao, Bing Li +3
Collaborative perception integrates multi-agent perspectives to enhance the sensing range and overcome occlusion issues. While existing multimodal approaches leverage complementary…
Learning from Rendering: Realistic and Controllable Extreme Rainy Image Synthesis for Autonomous Driving Simulation
Kaibin Zhou, Kaifeng Huang, Hao Deng +4
Autonomous driving simulators provide an effective and low-cost alternative for evaluating or enhancing visual perception models. However, the reliability of evaluation depends on…
H2-MARL: Multi-Agent Reinforcement Learning for Pareto Optimality in Hospital Capacity Strain and Human Mobility during Epidemic
Xueting Luo, Hao Deng, Jihong Yang +6
The necessity of achieving an effective balance between minimizing the losses associated with restricting human mobility and ensuring hospital capacity has gained significant atten…
PVBF: A Framework for Mitigating Parameter Variation Imbalance in Online Continual Learning
Zelin Tao, Hao Deng, Mingqing Liu +2
Online continual learning (OCL), which enables AI systems to adaptively learn from non-stationary data streams, is commonly achieved using experience replay (ER)-based methods that…