1 citations · 3 across the 9 of their papers we have counts for
4 papers · 1 filter
FARM: Fundamental Agentic Reward Model For Multi-task Wireless Network Optimization
Feiran You, Changxu Ni, Haozhe Ma +2
Future wireless networks require learning agents to adapt across heterogeneous channel conditions, traffic patterns, quality-of-service (QoS) requirements, objectives, and operatio…
UI-Mate: Advancing Open-Weight Foundation GUI Agents with In-Context Demonstrations
Zihan Ding, Longxu Dou, Qi Gao +26
Foundation GUI agents can automate complex digital tasks, but deployment is hindered by scarce and biased training data, ambiguous prompts, and unreliable execution. Routine workfl…
JEDI: Joint Embedding Diffusion World Model for Online Model-Based Reinforcement Learning
Jing Yu Lim, Rushi Shah, Zarif Ikram +4
Diffusion world models have recently become competitive for online model-based reinforcement learning, but current approaches expose a tension: pixel diffusion is effective but com…
Hierarchical Molecular Representation Learning via Fragment-Based Self-Supervised Embedding Prediction
Jiele Wu, Haozhe Ma, Zhihan Guo +2
Graph self-supervised learning (GSSL) has demonstrated strong potential for generating expressive graph embeddings without the need for human annotations, making it particularly va…