375 citations
- China Telecom46 papers
- Beijing University of Posts and TelecommunicationsCN20 papers
- Northwestern Polytechnical UniversityCN6 papers
- Beihang UniversityCN5 papers
- University of Science and Technology of ChinaCN5 papers
- Southeast UniversityCN4 papers
- Beijing Academy of Artificial IntelligenceCN3 papers
- China Mobile (China)CN3 papers
- Peking UniversityCN3 papers
- QuantumCTek (China)CN3 papers
- State Key Laboratory of Wireless Mobile Communications3 papers
- University of SouthamptonGB3 papers
62 papers
WAND: Learning Robust Navigation under Complex Wind Disturbances and Dense Obstacles for Quadrotors
Zhonghan Tang, Chenhui Li, Shuai Liang +5
Robust navigation in cluttered environments remains a fundamental challenge for quadrotors, particularly when strong wind disturbances arise, which perturb vehicle dynamics, limit…
Toward Quantum Advantage in Learning Parities with Structured Noise via Lower Bound Optimization of the Condition Number
Yusen Han, Xuelian Li, Juntao Gao +1
Learning Parities with Structured Noise (LPSN) can be reduced to solving nonlinear Boolean systems. In quantum computing, such systems are typically transformed into Macaulay linea…
Proper Sea Surface Roughness Enhances the Performance of Near-Shore Maritime Networks
Wen-Yu Dong, Shaoshi Yang, Song Zhao +5
Accurate performance analysis for near-shore maritime wireless communication is essential for ensuring robust and reliable operations. However, existing analytical models often rel…
Digital Tides: A Fluid-Dynamic Framework for Flux-Aware Infrastructure Provisioning in UAV Logistics Networks
Wen-Yu Dong, Song Zhao, Rui-Si Han +2
The emergence of high-frequency pulsating logistics unmanned aerial vehicle (UAV) swarms gives rise to ``Digital Tides'', i.e., complex traffic dynamics that challenge sustainable…
Vorticity Dissipation Based Routing: A Fluid-Kinetic Framework for Loop-Free Transport in Ultra-Dense Networks
Wen-Yu Dong, Weiwei Jiang, Song Zhao +3
Discrete routing protocols in ultra-dense wireless networks are constrained by signaling overhead and transient routing loops that degrade radio-resource efficiency. While continuu…
FM-LLM: A frequency-enhanced mixture-of-experts framework for adapting LLMs to time series forecasting
Rentao Gu, Yihang Ding, Junjie Li +5
Recent advances in Large Language Models (LLMs) have spurred cross-modal solutions for time-series forecasting. However, existing methods rely heavily on textual prompts for modali…