29 citations · 76 across the 28 of their papers we have counts for
8 papers · 1 filter
Differentiable Adaptive Kalman Filtering via Optimal Transport
Yangguang He, Wenhao Li, Minzhe Li +3
Learning-based filtering has demonstrated strong performance in non-linear dynamical systems, particularly when the statistics of noise are unknown. However, in real-world deployme…
Optimization Problem Solving Can Transition to Evolutionary Agentic Workflows
Wenhao Li, Bo Jin, Mingyi Hong +2
This position paper argues that optimization problem solving can transition from expert-dependent to evolutionary agentic workflows. Traditional optimization practices rely on huma…
A Survey of Automatic Prompt Engineering: An Optimization Perspective
Wenwu Li, Xiangfeng Wang, Wenhao Li +1
The rise of foundation models has shifted focus from resource-intensive fine-tuning to prompt engineering, a paradigm that steers model behavior through input design rather than we…
Generative Multi-Agent Collaboration in Embodied AI: A Systematic Review
Di Wu, Xian Wei, Guang Chen +4
Embodied multi-agent systems (EMAS) have attracted growing attention for their potential to address complex, real-world challenges in areas such as logistics and robotics. Recent a…
SkyRover: A Modular Simulator for Cross-Domain Pathfinding
Wenhui Ma, Wenhao Li, Bo Jin +2
Unmanned Aerial Vehicles (UAVs) and Automated Guided Vehicles (AGVs) increasingly collaborate in logistics, surveillance, inspection tasks and etc. However, existing simulators oft…
TrackDiffuser: Nearly Model-Free Bayesian Filtering with Diffusion Model
Yangguang He, Wenhao Li, Minzhe Li +3
State estimation remains a fundamental challenge across numerous domains, from autonomous driving, aircraft tracking to quantum system control. Although Bayesian filtering has been…
Verbalized Bayesian Persuasion
Wenhao Li, Yue Lin, Xiangfeng Wang +3
Information design (ID) explores how a sender influence the optimal behavior of receivers to achieve specific objectives. While ID originates from everyday human communication, exi…
GraphThought: Graph Combinatorial Optimization with Thought Generation
Zixiao Huang, Lifeng Guo, Wenhao Li +6
Graph combinatorial optimization (GCO) problems are central to domains like logistics and bioinformatics. While traditional solvers dominate, large language models (LLMs) offer new…