Taesik Gong

Orcid: 0000-0002-8967-3652

According to our database¹, Taesik Gong authored at least 32 papers between 2017 and 2024.

Collaborative distances:

Dijkstra number² of four.
Erdős number³ of three.

Timeline

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In proceedings

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PhD thesis

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Links

On csauthors.net:

Bibliography

2024

DEX: Data Channel Extension for Efficient CNN Inference on Tiny AI Accelerators.

[BibT_eX]

[DOI]

Taesik Gong

Fahim Kawsar

Chulhong Min

CoRR, 2024

ADAPT^2: Adapting Pre-Trained Sensing Models to End-Users via Self-Supervision Replay.

[BibT_eX]

[DOI]

Hyungjun Yoon

Jae Hyun Kwak

Biniyam Aschalew Tolera

CoRR, 2024

An AI-Native Runtime for Multi-Wearable Environments.

[BibT_eX]

[DOI]

CoRR, 2024

Collaborative Inference via Dynamic Composition of Tiny AI Accelerators on MCUs.

[BibT_eX]

[DOI]

CoRR, 2024

Poster: Time-Efficient Sparse and Lightweight Adaptation for Real-Time Mobile Application.

[BibT_eX]

[DOI]

Hyeongheon Cha

Taesik Gong

Sung-Ju Lee

Proceedings of the 22nd Annual International Conference on Mobile Systems, 2024

Energy Characterization of Tiny AI Accelerator-Equipped Microcontrollers.

[BibT_eX]

[DOI]

Proceedings of the 2nd International Workshop on Human-Centered Sensing, 2024

By My Eyes: Grounding Multimodal Large Language Models with Sensor Data via Visual Prompting.

[BibT_eX]

[DOI]

Hyungjun Yoon

Biniyam Aschalew Tolera

Taesik Gong

Kimin Lee

Sung-Ju Lee

Proceedings of the 2024 Conference on Empirical Methods in Natural Language Processing, 2024

AETTA: Label-Free Accuracy Estimation for Test-Time Adaptation.

[BibT_eX]

[DOI]

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2024

2023

MIRROR: Towards Generalizable On-Device Video Virtual Try-On for Mobile Shopping.

[BibT_eX]

[DOI]

Proc. ACM Interact. Mob. Wearable Ubiquitous Technol., December, 2023

MiCrowd: Vision-Based Deep Crowd Counting on MCU.

[BibT_eX]

[DOI]

Sensors, April, 2023

DAPPER: Label-Free Performance Estimation after Personalization for Heterogeneous Mobile Sensing.

[BibT_eX]

[DOI]

Proc. ACM Interact. Mob. Wearable Ubiquitous Technol., 2023

SoTTA: Robust Test-Time Adaptation on Noisy Data Streams.

[BibT_eX]

[DOI]

Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

LanSER: Language-Model Supported Speech Emotion Recognition.

[BibT_eX]

[DOI]

Proceedings of the 24th Annual Conference of the International Speech Communication Association, 2023

Tailoring Interactions: Exploring the Opportune Moment for Remote Computer-mediated Interactions with Home-alone Dogs.

[BibT_eX]

[DOI]

Yewon Kim

Taesik Gong

Sung-Ju Lee

Proceedings of the Extended Abstracts of the 2023 CHI Conference on Human Factors in Computing Systems, 2023

2022

Adapting to Unknown Conditions in Learning-Based Mobile Sensing.

[BibT_eX]

[DOI]

IEEE Trans. Mob. Comput., 2022

IMG2IMU: Applying Knowledge from Large-Scale Images to IMU Applications via Contrastive Learning.

[BibT_eX]

[DOI]

CoRR, 2022

Robust Continual Test-time Adaptation: Instance-aware BN and Prediction-balanced Memory.

[BibT_eX]

[DOI]

CoRR, 2022

NOTE: Robust Continual Test-time Adaptation Against Temporal Correlation.

[BibT_eX]

[DOI]

Proceedings of the Advances in Neural Information Processing Systems 35: Annual Conference on Neural Information Processing Systems 2022, 2022

MyDJ: Sensing Food Intakes with an Attachable on Your Eyeglass Frame.

[BibT_eX]

[DOI]

Proceedings of the CHI '22: CHI Conference on Human Factors in Computing Systems, New Orleans, LA, USA, 29 April 2022, 2022

2021

DAPPER: Performance Estimation of Domain Adaptation in Mobile Sensing.

[BibT_eX]

[DOI]

CoRR, 2021

2020

No More One Liners: Bringing Context into Emoji Recommendations.

[BibT_eX]

[DOI]

ACM Trans. Soc. Comput., 2020

Messaging Beyond Texts with Real-time Image Suggestions.

[BibT_eX]

[DOI]

Proceedings of the MobileHCI '20: 22nd International Conference on Human-Computer Interaction with Mobile Devices and Services, 2020

2019

Knocker: Vibroacoustic-based Object Recognition with Smartphones.

[BibT_eX]

[DOI]

Proc. ACM Interact. Mob. Wearable Ubiquitous Technol., 2019

Use MU-MIMO at your own risk - Why we don't get Gb/s Wi-Fi.

[BibT_eX]

[DOI]

Ad Hoc Networks, 2019

MetaSense: few-shot adaptation to untrained conditions in deep mobile sensing.

[BibT_eX]

[DOI]

Proceedings of the 17th Conference on Embedded Networked Sensor Systems, 2019

Bringing Context into Emoji Recommendations.

[BibT_eX]

[DOI]

Proceedings of the 17th Annual International Conference on Mobile Systems, 2019

Towards Condition-Independent Deep Mobile Sensing.

[BibT_eX]

[DOI]

Proceedings of the 17th Annual International Conference on Mobile Systems, 2019

Real-Time Object Identification with a Smartphone Knock.

[BibT_eX]

[DOI]

Proceedings of the 17th Annual International Conference on Mobile Systems, 2019

Dissecting 802.11ac Performance - Why You Should Turn Off MU-MIMO.

[BibT_eX]

[DOI]

Proceedings of the 17th Annual International Conference on Mobile Systems, 2019

AudiDoS: Real-Time Denial-of-Service Adversarial Attacks on Deep Audio Models.

[BibT_eX]

[DOI]

Taesik Gong

Alberto Gil C. P. Ramos

Sourav Bhattacharya

Akhil Mathur

Fahim Kawsar

Proceedings of the 18th IEEE International Conference On Machine Learning And Applications, 2019

2018

Identifying Everyday Objects with a Smartphone Knock.

[BibT_eX]

[DOI]

Proceedings of the Extended Abstracts of the 2018 CHI Conference on Human Factors in Computing Systems, 2018

2017

Enjoy the Silence: Noise Control with Smartphones.

[BibT_eX]

[DOI]

Proceedings of the 26th International Conference on Computer Communication and Networks, 2017

Taesik Gong

Timeline

Legend:

Links

On csauthors.net:

Bibliography

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