papers

Publications (7)

cs.RO2026

Predictive Training with Latent Imagination for Visual Quadruped Navigation

Yancheng Zhu, Wanli Ma, Chen Han +3

Reinforcement-learning navigation policies for legged robots select actions reactively from current observations and short-term memory, with limited capacity to anticipate how movi…

eess.SP2025

Joint Hybrid Beamforming and Artificial Noise Design for Secure Multi-UAV ISAC Networks

Runze Dong, Buhong Wang, Cunqian Feng +3

Integrated sensing and communication (ISAC) emerges as a key enabler for next-generation applications such as smart cities and autonomous systems. Its integration with unmanned aer…

cs.CL2026

PReM: Learning What to Preserve and When to Refresh for Context Compression

Bohan Yu, Lei Shen, Chenxi Zhou +5

The paper proposes PReM, a framework that lets language models dynamically decide which parts of a long context to keep and when to refresh stored information, improving efficiency…

#context compression#long-context inference#memory selection#kv cache
eess.IV2025

Label-free Prediction of Vascular Connectivity in Perfused Microvascular Networks in vitro

Liang Xu, Pengwu Song, Shilu Zhu +10

Continuous monitoring and in-situ assessment of microvascular connectivity have significant implications for culturing vascularized organoids and optimizing the therapeutic strateg…

cs.MA2026

Conformity Dynamics in LLM Multi-Agent Systems: The Roles of Topology and Self-Social Weighting

Chen Han, Jin Tan, Bohan Yu +2

Large Language Models (LLMs) are increasingly instantiated as interacting agents in multi-agent systems (MAS), where collective decisions emerge through social interaction rather t…

cs.AI2026

Beyond Detection: Exploring Evidence-based Multi-Agent Debate for Misinformation Intervention and Persuasion

Chen Han, Yijia Ma, Jin Tan +2

Multi-agent debate (MAD) frameworks have emerged as promising approaches for misinformation detection by simulating adversarial reasoning. While prior work has focused on detection…