Sanggeon Yun

According to our database, Sanggeon Yun authored at least 48 papers between 2023 and 2026.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2026

FusionSense: Tri-Stage Near-Sensor Learning for Runtime-Adaptive Multimodal Edge Intelligence.

Sanggeon Yun, Ryozo Masukawa, Minhyoung Na, Hyunwoo Oh, Yoshiki Yamaguchi, Wenjun Huang, Sungheon Jeong, Mohsen Imani

CoRR, May, 2026

State-Centric Decision Process.

Sungheon Jeong, Ryozo Masukawa, Sanggeon Yun, Mahdi Imani, Mohsen Imani

CoRR, May, 2026

TRINE: A Token-Aware, Runtime-Adaptive FPGA Inference Engine for Multimodal AI.

Hyunwoo Oh, Hanning Chen, Sanggeon Yun, Yang Ni, Suyeon Jang, Behnam Khaleghi, Fei Wen, Mohsen Imani

CoRR, March, 2026

TorR: Towards Brain-Inspired Task-Oriented Reasoning via Cache-Oriented Algorithm-Architecture Co-design.

Hyunwoo Oh, Sungheon Jeong, Suyeon Jang, Hanning Chen, Sanggeon Yun, Tamoghno Das, Mohsen Imani

CoRR, March, 2026

MERIT: Multi-domain Efficient RAW Image Translation.

Wenjun Huang, Shenghao Fu, Yian Jin, Yang Ni, Ziteng Cui, Hanning Chen, Yirui He, Yezi Liu, Sanggeon Yun, Sungheon Jeong, Ryozo Masukawa, William Youngwoo Chung, Mohsen Imani

CoRR, March, 2026

<i>n</i>-Musketeers: Reinforcement Learning Shapes Collaboration Among Language Models.

Ryozo Masukawa, Sanggeon Yun, Hyunwoo Oh, SuhgHeon Jeong, Raheeb Hassan, Hanning Chen, Wenjun Huang, Mahdi Imani, Pietro Mercati, Nathaniel D. Bastian, Mohsen Imani

CoRR, February, 2026

Fair Context Learning for Evidence-Balanced Test-Time Adaptation in Vision-Language Models.

Sanggeon Yun, Ryozo Masukawa, SungHeon Jeong, Wenjun Huang, Hanning Chen, Mohsen Imani

CoRR, February, 2026

HopFormer: Sparse Graph Transformers with Explicit Receptive Field Control.

Sanggeon Yun, Raheeb Hassan, Ryozo Masukawa, Sungheon Jeong, Mohsen Imani

CoRR, February, 2026

Internal Flow Signatures for Self-Checking and Refinement in LLMs.

Sungheon Jeong, Sanggeon Yun, Ryozo Masukawa, Wenjun Haung, Hanning Chen, Mohsen Imani

CoRR, February, 2026

Optimal hyperdimensional representation for learning and cognitive computation.

Prathyush Poduval, Hamza Errahmouni Barkam, Xiangjian Liu, Sanggeon Yun, Yang Ni, Zhuowen Zou, Nathaniel D. Bastian, Mohsen Imani

Frontiers Artif. Intell., 2026

Contextual Fusion Strategies for Multimodal GNN-Based Reasoning: Performance and Computational Trade-Offs.

Sanggeon Yun, Ryozo Masukawa, Raheeb Hassan, Minhyoung Na, Mohsen Imani

IEEE Access, 2026

Cross-Modal Event Encoder: Bridging Image-Text Knowledge to Event Streams.

Sungheon Jeong, Hanning Chen, Sanggeon Yun, Suhyeon Cho, Wenjun Huang, Xiangjian Liu, Mohsen Imani

Proceedings of the IEEE/CVF Winter Conference on Applications of Computer Vision, 2026

LogHD: Robust Compression of Hyperdimensional Classifiers via Logarithmic Class-Axis Reduction.

Sanggeon Yun, Hyunwoo Oh, Ryozo Masukawa, Pietro Mercati, Nathaniel D. Bastian, Mohsen Imani

Proceedings of the Design, Automation & Test in Europe Conference, 2026

DecoHD: Decomposed Hyperdimensional Classification under Extreme Memory Budgets.

Sanggeon Yun, Hyunwoo Oh, Ryozo Masukawa, Mohsen Imani

Proceedings of the Design, Automation & Test in Europe Conference, 2026

T-SAR: A Full-Stack Co-design for CPU-Only Ternary LLM Inference via In-Place SIMD ALU Reorganization.

Hyunwoo Oh, KyungIn Nam, Rajat Bhattacharjya, Hanning Chen, Tamoghno Das, Sanggeon Yun, Suyeon Jang, Andrew Ding, Nikil D. Dutt, Mohsen Imani

Proceedings of the Design, Automation & Test in Europe Conference, 2026

RIFT: A Single-Bitstream, Runtime-Adaptive FPGA-Based Accelerator for Multimodal AI.

Hyunwoo Oh, Hanning Chen, Sanggeon Yun, Yang Ni, Suyeon Jang, Behnam Khaleghi, Fei Wen, Mohsen Imani

Proceedings of the Design, Automation & Test in Europe Conference, 2026

QUILL: An Algorithm-Architecture Co-Design for Cache-Local Deformable Attention.

Hyunwoo Oh, Hanning Chen, Sanggeon Yun, Yang Ni, Wenjun Huang, Tamoghno Das, Suyeon Jang, Mohsen Imani

Proceedings of the Design, Automation & Test in Europe Conference, 2026

2025

Draft and Refine with Visual Experts.

Sungheon Jeong, Ryozo Masukawa, Jihong Park, Sanggeon Yun, Wenjun Huang, Hanning Chen, Mahdi Imani, Mohsen Imani

CoRR, November, 2025

MissionHD: Data-Driven Refinement of Reasoning Graph Structure through Hyperdimensional Causal Path Encoding and Decoding.

Sanggeon Yun, Raheeb Hassan, Ryozo Masukawa, Mohsen Imani

CoRR, August, 2025

A Few Large Shifts: Layer-Inconsistency Based Minimal Overhead Adversarial Example Detection.

Sanggeon Yun, Ryozo Masukawa, Hyunwoo Oh, Nathaniel D. Bastian, Mohsen Imani

CoRR, May, 2025

Lipschitz-based robustness estimation for hyperdimensional learning.

Calvin Yeung, Hamza Errahmouni Barkam, Zhuowen Zou, Sanggeon Yun, Nathaniel D. Bastian, Mohsen Imani

Frontiers Artif. Intell., 2025

PACKETCLIP: multi-modal embedding of network traffic and language for cybersecurity reasoning.

Ryozo Masukawa, Sanggeon Yun, SungHeon Evan Jeong, Wenjun Huang, Yang Ni, Ian Bryant, Nathaniel D. Bastian, Mohsen Imani

Frontiers Artif. Intell., 2025

Hyperdimensional Intelligent Sensing for Efficient Real-Time Audio Processing on Extreme Edge.

Sanggeon Yun, Ryozo Masukawa, Hanning Chen, Sungheon Jeong, Wenjun Huang, Arghavan Rezvani, Minhyoung Na, Yoshiki Yamaguchi, Mohsen Imani

IEEE Access, 2025

TriageHD: A Hyper-Dimensional Learning-to-Rank Framework for Dynamic Micro-Segmentation in Zero-Trust Network Security.

Ryozo Masukawa, Sanggeon Yun, Sungheon Jeong, Nathaniel D. Bastian, Mohsen Imani

IEEE Access, 2025

Missiongnn: Hierarchical Multimodal GNN-Based Weakly Supervised Video Anomaly Recognition with Mission-Specific Knowledge Graph Generation.

Sanggeon Yun, Ryozo Masukawa, Minhyoung Na, Mohsen Imani

Proceedings of the IEEE/CVF Winter Conference on Applications of Computer Vision, 2025

PV-VTT: A Privacy-Centric Dataset for Mission-Specific Anomaly Detection and Natural Language Interpretation.

Ryozo Masukwa, Sanggeon Yun, Yoshiki Yamaguchi, Mohsen Imani

Proceedings of the IEEE/CVF Winter Conference on Applications of Computer Vision, 2025

A Multimodal AI Acceleration with Dynamic Pruning and Run-Time Configuration.

Hyun Woo Oh, Hanning Chen, Sanggeon Yun, Yang Ni, Behnam Khaleghi, Fei Wen, Mohsen Imani

Proceedings of the 33rd IEEE Annual International Symposium on Field-Programmable Custom Computing Machines, 2025

Continuous GNN-Based Anomaly Detection on Edge Using Efficient Adaptive Knowledge Graph Learning.

Sanggeon Yun, Ryozo Masukawa, William Youngwoo Chung, Minhyoung Na, Nathaniel D. Bastian, Mohsen Imani

Proceedings of the Design, Automation & Test in Europe Conference, 2025

Exploiting Boosting in Hyperdimensional Computing for Enhanced Reliability in Healthcare.

Sungheon Jeong, Hamza Errahmouni Barkam, Sanggeon Yun, Yeseong Kim, Shaahin Angizi, Mohsen Imani

Proceedings of the Design, Automation & Test in Europe Conference, 2025

2024

HyperSense: Hyperdimensional Intelligent Sensing for Energy-Efficient Sparse Data Processing.

Sanggeon Yun, Hanning Chen, Ryozo Masukawa, Hamza Errahmouni Barkam, Andrew Ding, Wenjun Huang, Arghavan Rezvani, Shaahin Angizi, Mohsen Imani

Adv. Intell. Syst., December, 2024

In-Memory Acceleration of Hyperdimensional Genome Matching on Unreliable Emerging Technologies.

Hamza Errahmouni Barkam, Sanggeon Yun, Paul R. Genssler, Che-Kai Liu, Zhuowen Zou, Hussam Amrouch, Mohsen Imani

IEEE Trans. Circuits Syst. I Regul. Pap., April, 2024

Expanding Event Modality Applications through a Robust CLIP-Based Encoder.

Sungheon Jeong, Hanning Chen, Sanggeon Yun, Suhyeon Cho, Wenjun Huang, Xiangjian Liu, Mohsen Imani

CoRR, 2024

Scalable Readability Evaluation for Graph Layouts: 2D Geometric Distributed Algorithms.

Sanggeon Yun

CoRR, 2024

PV-VTT: A Privacy-Centric Dataset for Mission-Specific Anomaly Detection and Natural Language Interpretation.

Ryozo Masukawa, Sanggeon Yun, Yoshiki Yamaguchi, Mohsen Imani

CoRR, 2024

Spatial-Aware Image Retrieval: A Hyperdimensional Computing Approach for Efficient Similarity Hashing.

Sanggeon Yun, Ryozo Masukawa, Sungheon Jeong, Mohsen Imani

CoRR, 2024

EcoSense: Energy-Efficient Intelligent Sensing for In-Shore Ship Detection through Edge-Cloud Collaboration.

Wenjun Huang, Hanning Chen, Yang Ni, Arghavan Rezvani, Sanggeon Yun, Sungheon Jeong, Eric Pedley, Mohsen Imani

CoRR, 2024

TaskCLIP: Extend Large Vision-Language Model for Task Oriented Object Detection.

Hanning Chen, Wenjun Huang, Yang Ni, Sanggeon Yun, Fei Wen, Hugo Latapie, Mohsen Imani

CoRR, 2024

HDReason: Algorithm-Hardware Codesign for Hyperdimensional Knowledge Graph Reasoning.

Hanning Chen, Yang Ni, Ali Zakeri, Zhuowen Zou, Sanggeon Yun, Fei Wen, Behnam Khaleghi, Narayan Srinivasa, Hugo Latapie, Mohsen Imani

CoRR, 2024

A Plug-in Tiny AI Module for Intelligent and Selective Sensor Data Transmission.

Wenjun Huang, Arghavan Rezvani, Hanning Chen, Yang Ni, Sanggeon Yun, Sungheon Jeong, Mohsen Imani

CoRR, 2024

HyperSense: Accelerating Hyper-Dimensional Computing for Intelligent Sensor Data Processing.

Sanggeon Yun, Hanning Chen, Ryozo Masukawa, Hamza Errahmouni Barkam, Andrew Ding, Wenjun Huang, Arghavan Rezvani, Shaahin Angizi, Mohsen Imani

CoRR, 2024

TaskCLIP: Extend Large Vision-Language Model for Task Oriented Object Detection.

Hanning Chen, Wenjun Huang, Yang Ni, Sanggeon Yun, Yezi Liu, Fei Wen, Alvaro Velasquez, Hugo Latapie, Mohsen Imani

Proceedings of the Computer Vision - ECCV 2024 Workshops, 2024

2023

BERT-Based Logits Ensemble Model for Gender Bias and Hate Speech Detection.

Sanggeon Yun, Seung-Shik Kang, Hyeokman Kim

J. Inf. Process. Syst., October, 2023

Towards Efficient Hyperdimensional Computing Using Photonics.

Farbin Fayza, Cansu Demirkiran, Hanning Chen, Che-Kai Liu, Avi Mohan, Hamza Errahmouni Barkam, Sanggeon Yun, Mohsen Imani, David Zhang, Darius Bunandar, Ajay Joshi

CoRR, 2023

SEE-MCAM: Scalable Multi-Bit FeFET Content Addressable Memories for Energy Efficient Associative Search.

Shengxi Shou, Che-Kai Liu, Sanggeon Yun, Zishen Wan, Kai Ni, Mohsen Imani, X. Sharon Hu, Jianyi Yang, Cheng Zhuo, Xunzhao Yin

Proceedings of the IEEE/ACM International Conference on Computer Aided Design, 2023

Reliable Hyperdimensional Reasoning on Unreliable Emerging Technologies.

Hamza Errahmouni Barkam, Sanggeon Yun, Hanning Chen, Paul Gensler, Albi Mema, Andrew Ding, George Michelogiannakis, Hussam Amrouch, Mohsen Imani

Proceedings of the IEEE/ACM International Conference on Computer Aided Design, 2023

Invited Paper: Hyperdimensional Computing for Resilient Edge Learning.

Hamza Errahmouni Barkam, SungHeon Evan Jeong, Sanggeon Yun, Calvin Yeung, Zhuowen Zou, Xun Jiao, Narayan Srinivasa, Mohsen Imani

Proceedings of the IEEE/ACM International Conference on Computer Aided Design, 2023

HDGIM: Hyperdimensional Genome Sequence Matching on Unreliable highly scaled FeFET.

Hamza Errahmouni Barkam, Sanggeon Yun, Paul R. Genssler, Zhuowen Zou, Che-Kai Liu, Hussam Amrouch, Mohsen Imani

Proceedings of the Design, Automation & Test in Europe Conference & Exhibition, 2023

Hyperdimensional Computing for Robust and Efficient Unsupervised Learning.

Sanggeon Yun, Hamza Errahmouni Barkam, Paul R. Genssler, Hugo Latapie, Hussam Amrouch, Mohsen Imani

Proceedings of the 57th Asilomar Conference on Signals, Systems, and Computers, ACSSC 2023, Pacific Grove, CA, USA, October 29, 2023