21 citations · 22 across the 60 of their papers we have counts for
69 papers
AlphaPilot: Multi-Turn Tool-Using LLM Agents for Adaptive Alpha Mining with Reinforcement Learning
Peiqi Jiang, Fan Zhang, Xin Xu +2
Formulaic alpha mining seeks interpretable expressions that rank assets by future returns. The task is challenging because it demands simultaneous processing of unstructured market…
Radiomap Blind Prediction under Incomplete Observation: Error Characterization and Correctable Propagation-Prior Learning
Xiaojie Li, Yu Han, Han Fang +4
Radiomap blind prediction aims to infer radiomaps from observable representations of the propagation environment and base station configuration without field measurements. In pract…
Rethinking Radiomap Blind Prediction with Limited Environment and Configuration Representations
Xiaojie Li, Yu Han, Han Fang +3
Radiomap blind prediction infers radiomaps from observable representations of the propagation environment and base station (BS) configuration without field measurements. These repr…
A Graph Foundation Model for Large-Scale MIMO Detection
Xingyu Zhou, Le Liang, Hao Ye +5
Large-scale multiple-input multiple-output (MIMO) detection is fundamental to modern wireless networks but constrained by performance-complexity trade-offs. Existing detectors, whe…
Foundation Models for Wireless Localization: Pretraining, Adaptation, and Utilization
Guangjin Pan, Jiajia Guo, Zheng Xing +4
Accurate wireless localization is a key enabler for 6G networks, yet remains challenging under diverse and rapidly changing propagation conditions. Model-based methods degrade when…
Learnware for CSI Feedback: Scene-specific Small Models Can Do Big
Xiangyi Li, Jiajia Guo, Chao-Kai Wen +3
Intelligent channel state information (CSI) feedback is essential for realizing the high capacity and spectral efficiency goals of future 6G systems, yet existing deep learning sol…
CORF-GS: Real-Time Wireless Radiance Field Reconstruction via Coupled Optical-RF Gaussian Splatting
Jinya Zhang, Jiajia Guo, Chao-Kai Wen +1
Recent advances in 3D Gaussian Splatting (3DGS)-based wireless radiance field (WRF) reconstruction provide an efficient solution for wireless channel modeling. However, existing WR…
Radar-Aided Near-Field Beam Prediction via Beam Map Learning for XL-MIMO V2I Communications
Jiali Nie, Yu Han, Yuanhao Cui +3
Near-field beam training in extremely large-scale multiple-input multiple-output (XL-MIMO) vehicle-to-infrastructure (V2I) systems incurs high overhead due to large range-angle cod…
Wireless Imaging for Low-Altitude Surveillance: A New Paradigm for ISAC Networks
Yixuan Huang, Jie Yang, Chao-Kai Wen +1
The rapid growth of the low-altitude economy calls for integrated sensing and communication (ISAC) networks capable of robust flight monitoring. This article advocates wireless ima…
Physics-Informed Path-Parametric Learning for Efficient and Lightweight CSI Feedback
Chunyu Ling, Jiajia Guo, Yiming Cui +4
Channel State Information (CSI) feedback is vital for high spectral efficiency in wireless systems, yet high-dimensional CSI introduce significant feedback overhead. Recent deep le…
XL-ChannelDiff: An Efficient Diffusion-Based Multi-Domain Near-Field Channel Extrapolation Framework for XL-MIMO Systems
Mengyuan Li, Yu Han, Hao Xu +3
Accurate channel state information (CSI) acquisition is essential for unleashing the performance gains of extremely large-scale multiple-input multiple-output (XL-MIMO) systems. Ho…
Digital Twin-Based Channel Generation Toolchain and Foundation Model for Low-Altitude XL-MIMO
Mengyuan Li, Yu Han, Jiachen Tian +2
The rapid development of the low-altitude economy (LAE) has created growing demand for reliable aerial communication systems. Extremely large-scale multiple-input multiple-output (…
Vision-Based Efficient Joint Trajectory and Channel Tracking in Near-Field XL-MIMO Systems
Mengyuan Li, Yu Han, Hao Xu +3
Accurate joint tracking of mobile users, surrounding scatterers, and dynamic channels is a critical task for sixth-generation (6G) wireless systems, essential for both ensuring hig…
Low-Overhead Receiver Design for Data-Dependent Superimposed Training via Deep Learning
Xinjie Li, Xingyu Zhou, Jing Zhang +3
Superimposed pilot (SIP) transmission improves spectral efficiency by eliminating the dedicated pilot overhead required in orthogonal pilot (OP)-based schemes. However, SIP suffers…
Propagation-Consistent Wireless Environment Digital Twin Construction Under Sparse Measurements
Junjie Ai, Shurui Xu, Yanqing Ren +6
Digital twins (DTs) are promising for wireless deployment, optimization, and data generation, but building a propagation-faithful twin from sparse real measurements remains difficu…
AI-Empowered Low-Altitude Economy: Cooperative Sensing With Fixed Wireless Access
Jinya Zhang, Jiajia Guo, Xiangyi Li +2
The rapid growth of the low-altitude economy has intensified safety concerns arising from unauthorized unmanned aerial vehicles (UAVs), positioning UAV supervision as a key use cas…
Intention-Aware Semantic Agent Communications for AI Glasses
Peiwen Jiang, Fangyu Liu, Jiajia Guo +3
Smart glasses are emerging as a promising interface between humans and artificial intelligence (AI) agents, enabling first-person perception, contextual awareness, and real-time as…
AgentComm: Semantic Communication for Embodied Agents
Peiwen Jiang, Yushuo Feng, Jiajia Guo +2
The increasing deployment of agentic artificial intelligence (AI) systems has intensified the demand for efficient agent to agent communication, particularly over bandwidth limited…
U6G XL-MIMO Radiomap Prediction: Multi-Config Dataset and Beam Map Approach
Xiaojie Li, Yu Han, Zhizheng Lu +2
The upper 6 GHz (U6G) band with XL-MIMO is a key enabler for sixth-generation wireless systems, yet intelligent radiomap prediction for such systems remains challenging. Existing d…
Multimodal-NF: A Wireless Dataset for Near-Field Low-Altitude Sensing and Communications
Mengyuan Li, Qianfan Lu, Jiachen Tian +5
Environment-aware 6G wireless networks demand the deep integration of multimodal and wireless data. However, most existing datasets are confined to 2D terrestrial far-field scenari…
Deep Learning-based Low-Overhead Beam Alignment for mmWave Massive MIMO Systems
Weijie Jin, Jing Zhang, Hengtao He +3
Millimeter-wave massive multiple-input multiple-output systems employ highly directional beamforming to overcome severe path loss, and their performance critically depends on accur…
FPNet: Joint Wi-Fi Beamforming Matrix Feedback and Anomaly-Aware Indoor Positioning
Ran Tao, Jiajia Guo, Yiming Cui +3
Channel State Information (CSI) provides a detailed description of the wireless channel and has been widely adopted for Wi-Fi sensing, particularly for high-precision indoor positi…
Physics-Informed Implicit Neural Representation for Wireless Imaging in RIS-Aided ISAC System
Yixuan Huang, Jie Yang, Chao-Kai Wen +1
Wireless imaging has become a vital function in future integrated sensing and communication (ISAC) systems. However, traditional model-based and data-driven deep learning imaging m…
AI-Driven Subcarrier-Level CQI Feedback
Chengyong Jiang, Jiajia Guo, Yuqing Hua +2
The Channel Quality Indicator (CQI) is a fundamental component of channel state information (CSI) that enables adaptive modulation and coding by selecting the optimal modulation an…