Hae Jin Song

ORCID: 0000-0002-0467-7399
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About
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Research Areas
  • Transportation Planning and Optimization
  • Generative Adversarial Networks and Image Synthesis
  • Digital Media Forensic Detection
  • Traffic Prediction and Management Techniques
  • Traffic control and management
  • Millimeter-Wave Propagation and Modeling
  • Power Line Communications and Noise
  • Data Analysis with R
  • Semantic Web and Ontologies
  • Optimization and Search Problems
  • Image Processing and 3D Reconstruction
  • Music and Audio Processing
  • Simulation Techniques and Applications
  • Advanced MIMO Systems Optimization
  • Scientific Computing and Data Management
  • Data Management and Algorithms

Southern California University for Professional Studies
2024

University of Southern California
2020-2024

Major societal and environmental challenges involve complex systems that have diverse multi-scale interacting processes. Consider, for example, how droughts water reserves affect crop production agriculture industrial needs quality availability. Preventive measures, such as delaying planting dates adopting new agricultural practices in response to changing weather patterns, can reduce the damage caused by natural Understanding these human processes one another allows forecasting effects of...

10.1145/3453172 article EN ACM Transactions on Interactive Intelligent Systems 2021-06-30

Recent works have shown that generative models leave traces of their underlying process on the generated samples, broadly referred to as fingerprints a model, and studied utility in detecting synthetic images from real ones. However, extend which these can distinguish between various types image help identify remain under-explored. In particular, very definition fingerprint remains unclear, our knowledge. To end, this work, we formalize artifact models, propose an algorithm for computing...

10.48550/arxiv.2402.10401 preprint EN arXiv (Cornell University) 2024-02-15

Geospatial data come from various sources, such as satellites, aircraft, and LiDAR. The variability of the source is not limited to types acquisition techniques, we have maps different time periods. To incorporate these for a coherent analysis, it essential first align "styles" geospatial its matching images that point same location on surface Earth. In this paper, approach image registration two-step process (1) extracting contents invariant visual (and any other non-content-related)...

10.48550/arxiv.2408.14152 preprint EN arXiv (Cornell University) 2024-08-26

10.1109/cvpr52733.2024.01026 article EN 2022 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR) 2024-06-16

In this letter we consider the coordination of connected and autonomous vehicles (CAVs) with intelligent traffic control signalization to improve performance at intersections. We propose a method based on gradient-based multi-agent system. Specifically, both light approaching as smart agents define suitable edge tension function for each connection between agents. The then run decentralized gradient descent policy that drives them towards desirable sequence intersection crossings....

10.1109/lcsys.2020.3047332 article EN IEEE Control Systems Letters 2020-12-24

With recent progress in deep generative models, the problem of identifying synthetic data and comparing their underlying processes has become an imperative task for various reasons, including fighting visual misinformation source attribution. Existing methods often approximate distance between models via sample distributions. In this paper, we approach fingerprinting by learning representations that encode residual artifacts left as unique signals identify models. We consider these traces...

10.48550/arxiv.2206.02067 preprint EN cc-by arXiv (Cornell University) 2022-01-01

Knowing the wireless channel characteristics, particularly existence of a line-of-sight (LOS) connection from user equipment (UE) to base station (BS), is key in system development and deployments. The LOS becomes even more important high frequency systems such as fifth generation (5G) mm-wave terahertz (THz) where difference characteristics varies greatly non-LOS (NLOS) situations. While existing models 3GPP model others literature are valuable, they lack cell-by-cell specificity and/or do...

10.1109/globecom48099.2022.10001179 article EN GLOBECOM 2022 - 2022 IEEE Global Communications Conference 2022-12-04

In this letter we consider the coordination of connected and autonomous vehicles (CAVs) with intelligent traffic control signalization to improve performance at intersections. We propose a method based on gradient-based multi-agent system. Specifically, both light approaching as smart agents define suitable edge tension function for each connection between agents. The then run decentralized gradient descent policy that drives them towards desirable sequence intersection crossings....

10.23919/acc50511.2021.9483298 article EN 2022 American Control Conference (ACC) 2021-05-25
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