Seunghyun Hwang

Orcid: 0000-0002-5900-6445

According to our database1, Seunghyun Hwang authored at least 12 papers between 2021 and 2026.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

Legend:

Book  In proceedings  Article  PhD thesis  Dataset  Other 

Links

On csauthors.net:

Bibliography

2026
DEO: Training-Free Direct Embedding Optimization for Negation-Aware Retrieval.
CoRR, March, 2026

2025
Unsupervised Defect Detection for Surgical Instruments.
CoRR, September, 2025

Exploring Diffusion Models for Generative Forecasting of Financial Charts.
CoRR, September, 2025

Real-Time 3-D Thermal Simulation of Advanced Packages via Generative Adversarial Networks.
IEEE Trans. Comput. Aided Des. Integr. Circuits Syst., July, 2025

Mitigating Language Confusion for Multimodal Foundation Models via Confusion-Aware Preference Optimization Pipeline.
Proceedings of the IEEE/CVF International Conference on Computer Vision, ICCV 2025, 2025

Sarcasm Subtype-Specific Reasoning in Dialogue with Multimodal Cues Using Large Language Models.
Proceedings of the 34th ACM International Conference on Information and Knowledge Management, 2025

2024
Rainfall Observation Leveraging Raindrop Sounds Acquired Using Waterproof Enclosure: Exploring Optimal Length of Sounds for Frequency Analysis.
Sensors, July, 2024

Kiss up, Kick down: Exploring Behavioral Changes in Multi-modal Large Language Models with Assigned Visual Personas.
Proceedings of the 2024 Conference on Empirical Methods in Natural Language Processing, 2024

2023
Adapting Text-based Dialogue State Tracker for Spoken Dialogues.
CoRR, 2023

2021
Large-Scale Flight Frequency Optimization with Global Convergence in the US Domestic Air Passenger Markets.
Proceedings of the 2021 SIAM International Conference on Data Mining, 2021

Image Generation using Continuous Filter Atoms.
Proceedings of the Advances in Neural Information Processing Systems 34: Annual Conference on Neural Information Processing Systems 2021, 2021

Refine Myself by Teaching Myself: Feature Refinement via Self-Knowledge Distillation.
Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2021


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