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🏢 Beijing Jiaotong University

PGN: The RNN's New Successor is Effective for Long-Range Time Series Forecasting
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Machine Learning Deep Learning 🏢 Beijing Jiaotong University
TPGN, a novel framework for long-range time series forecasting, uses Parallel Gated Networks (PGN) to efficiently capture long-term dependencies, achieving state-of-the-art results on multiple dataset…
Mobility-LLM: Learning Visiting Intentions and Travel Preference from Human Mobility Data with Large Language Models
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AI Generated Natural Language Processing Large Language Models 🏢 Beijing Jiaotong University
Mobility-LLM leverages LLMs to analyze human mobility data from check-in sequences, significantly outperforming existing models in location prediction, user identification, and time prediction tasks.
Mobile-Agent-v2: Mobile Device Operation Assistant with Effective Navigation via Multi-Agent Collaboration
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AI Generated Multimodal Learning Vision-Language Models 🏢 Beijing Jiaotong University
Mobile-Agent-v2 uses a three-agent collaborative framework (planning, decision, reflection) to improve mobile device operation accuracy by over 30%, overcoming the limitations of single-agent architec…
Generated and Pseudo Content guided Prototype Refinement for Few-shot Point Cloud Segmentation
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Large Language Models 🏢 Beijing Jiaotong University
LLM-powered prototype refinement boosts few-shot 3D point cloud segmentation accuracy.
DiffLight: A Partial Rewards Conditioned Diffusion Model for Traffic Signal Control with Missing Data
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AI Applications Smart Cities 🏢 Beijing Jiaotong University
DiffLight: a novel conditional diffusion model for traffic signal control effectively addresses data-missing scenarios by unifying traffic data imputation and decision-making, demonstrating superior p…
DFA-GNN: Forward Learning of Graph Neural Networks by Direct Feedback Alignment
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Machine Learning Semi-Supervised Learning 🏢 Beijing Jiaotong University
DFA-GNN: A novel forward learning framework for GNNs enhances training efficiency and robustness by directly aligning feedback signals, outperforming traditional methods.
DenoiseRep: Denoising Model for Representation Learning
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Image Classification 🏢 Beijing Jiaotong University
DenoiseRep: A novel denoising model enhances feature discrimination in computer vision tasks by integrating feature extraction and denoising within a single backbone, achieving impressive improvements…