Average Co-Inventor Count = 2.4
Location History:
- Incheon, KR (2023)
- Seoul, KR (2024)
Company Filing History:
Years Active: 2023-2024
: The Innovations of Chae Eun Rhee: Pioneering Virtual Space and Deep Learning Solutions</p><p></p><p><b>Introduction</b></p><p>Chae Eun Rhee is a notable inventor based in Incheon, South Korea, known for his contributions to the fields of virtual space construction and deep learning technology. With two patents to his name, Rhee is pushing the boundaries of innovation in modern technology.</p><p></p><p><b>Latest Patents</b></p><p><b>Rhee's latest patents include:</b></p><p></p><p>1. **Method and apparatus for virtual space constructing based on stackable light field**: This invention pertains to an electronic apparatus that features a memory containing a multiple light field unit (LFU) structure, organized in a lattice configuration. The processor within the apparatus generates a 360-degree image based on a determined view position within this structure. It selects the appropriate LFU based on the view position, allocates a rendering field-of-view (FOV), and constructs a series of view images that culminate in the generation of the 360-degree image.</p><p></p><p>2. **Near-memory processing of embeddings method and system for reducing memory size and energy in deep learning-based recommendation systems**: In this innovation, Rhee details a hybrid near-memory processing system that incorporates a GPU, a PIM-HBM, a CPU, and main memory. This system efficiently manages embedding vectors for training and inference in recommendation systems, significantly improving memory efficiency and energy consumption.</p><p></p><p><b>Career Highlights</b></p><p>Chae Eun Rhee is currently affiliated with the Inha University Research and Business Foundation, where he applies his expertise in technology and innovation. His work at the foundation emphasizes advanced research in computing and data processing systems.</p><p></p><p><b>Collaborations</b></p><p>Throughout his career, Rhee has collaborated with esteemed colleagues, including Myungkeun Cho and Hyunmin Jung. Together, they contribute to significant advancements in their respective fields, fostering a dynamic research environment.</p><p></p><p><b>Conclusion</b></p><p>Chae Eun Rhee exemplifies the spirit of innovation with his groundbreaking inventions and collaborations. 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KR","_uniqUrl":"inha-university-research-and-business-foundation","numPatentsByFilter":2,"numInventors":123,"ranking":1}],"IAI":0.4167,"pH":1,"numPatentsByFilingYear":{"2020":1,"2023":1},"_uniqUrl":"chae-eun-rhee-bid4rvo0","locationHistory":[{"location":"Incheon, KR","years":[2023]},{"location":"Seoul, KR","years":[2024]}],"gender":"male","pgpubs":4,"bio":"\u003ctitle\u003e: The Innovations of Chae Eun Rhee: Pioneering Virtual Space and Deep Learning Solutions\n\n\u003cb\u003eIntroduction\u003c/b\u003e \nChae Eun Rhee is a notable inventor based in Incheon, South Korea, known for his contributions to the fields of virtual space construction and deep learning technology. With two patents to his name, Rhee is pushing the boundaries of innovation in modern technology.\n\n\u003cb\u003eLatest Patents\u003c/b\u003e \nRhee's latest patents include:\n\n1. **Method and apparatus for virtual space constructing based on stackable light field**: This invention pertains to an electronic apparatus that features a memory containing a multiple light field unit (LFU) structure, organized in a lattice configuration. The processor within the apparatus generates a 360-degree image based on a determined view position within this structure. It selects the appropriate LFU based on the view position, allocates a rendering field-of-view (FOV), and constructs a series of view images that culminate in the generation of the 360-degree image.\n\n2. **Near-memory processing of embeddings method and system for reducing memory size and energy in deep learning-based recommendation systems**: In this innovation, Rhee details a hybrid near-memory processing system that incorporates a GPU, a PIM-HBM, a CPU, and main memory. This system efficiently manages embedding vectors for training and inference in recommendation systems, significantly improving memory efficiency and energy consumption.\n\n\u003cb\u003eCareer Highlights\u003c/b\u003e \nChae Eun Rhee is currently affiliated with the Inha University Research and Business Foundation, where he applies his expertise in technology and innovation. His work at the foundation emphasizes advanced research in computing and data processing systems.\n\n\u003cb\u003eCollaborations\u003c/b\u003e \nThroughout his career, Rhee has collaborated with esteemed colleagues, including Myungkeun Cho and Hyunmin Jung. Together, they contribute to significant advancements in their respective fields, fostering a dynamic research environment.\n\n\u003cb\u003eConclusion\u003c/b\u003e \nChae Eun Rhee exemplifies the spirit of innovation with his groundbreaking inventions and collaborations. As he continues to explore new frontiers in technology, Rhee's work highlights the vital intersection of academic research and practical applications in our increasingly digital world.","numCanadianPatents":0,"numCanadianPatentsByYear":{},"numEuropeanPatents":0,"numEuropeanPatentsByYear":{},"activeYears":"2023-2024","companyBy":{"630051f8172a06ab8ddf2799":40}},"_numPatentsFromCompanies":2,"initialPatents":[{"_id":"659cdfcd1b65e60b8a9f9aed","patentTitle":"Method and apparatus for virtual space constructing based on stackable light field","patentNumber":"11869137","abstract":null,"publicationDate":"2024-01-09T00:00:00.000Z","numReferences":0},{"_id":"64ffe99f9f9083f41ee3b183","patentTitle":"Near-memory processing of embeddings method and system for reducing memory size and energy in deep learning-based recommendation systems","patentNumber":"11755898","abstract":null,"publicationDate":"2023-09-12T00:00:00.000Z","numReferences":0}]},"__N_SSG":true},"page":"/inventor/[id]","query":{"id":"chae-eun-rhee-bid4rvo0"},"buildId":"wifuWCAFtSJTf_WGASi5Q","isFallback":false,"isExperimentalCompile":false,"gsp":true,"scriptLoader":[]}</script></body></html> 
