Taesik Gong
@Taesik_MobileAI
Assistant Professor at UNIST (CSE & AIGS) | Prev: @Cambridge_Uni @BellLabs @GoogleAI @MSFTResearch @kaistcsdept | Google PhD Fellow
Excited to share that our work on test-time adaptation with binary feedback has been accepted to #ICML2025! Huge thanks to my amazing collaborators! #ICML #ICML2025 #TTA
We're happy to announce that our work on test-time adaptation with binary feedback has been accepted to #ICML2025! We will discuss how we can utilize human feedback for TTA. Special thanks to collaborators @sornswgn @JunsuKim97 @jinwoos0417 @Taesik_MobileAI @wewantsj !!
Thrilled to share that our paper “SelfReplay: Adapting Self-Supervised Sensory Models via Adaptive Meta-Task Replay” has been accepted to ACM #SenSys2025! Grateful to collaborate with such an incredible team!🎉
Pleased to share that our paper, “SelfReplay: Adapting Self-Supervised Sensory Models via Adaptive Meta-Task Replay,” is accepted to #SenSys2025! Huge thanks to my collaborators, Jaehyun, Biniyam, @GaoleDai4, Prof. Mo Li, @Taesik_MobileAI, @kimin_le2, and @wewantsj! (1/2)
📄Join me for my #NeurIPS2024 poster presentation on 11th Dec! "DEX: Data Channel Extension for Efficient CNN Inference on Tiny AI Accelerators" 📆 When: Wed 11 Dec 4:30 pm- 7:30 pm 📍 Where: East Exhibit Hall A-C 1405 #NeurIPS #NeurIPS24 #MachineLearning #AI #AIAccelerator
Excited to see our work on MLLMs with sensor data has been accepted at #EMNLP2024 (main, long)! Proud to be part of an incredible team. I look forward to continuing our journey in exploring how we can push the boundaries of AI with sensor data and MLLMs. 🎉
🎉 Thrilled to share our paper “By My Eyes: Grounding Multimodal Large Language Models with Sensor Data via Visual Prompting” is accepted at #EMNLP2024 Main! 🙌 Huge thanks to Biniyam, Prof. @Taesik_MobileAI, @kimin_le2, and @wewantsj! 📄 Preprint: arxiv.org/abs/2407.10385 (1/2)
📄 I am thrilled to share that our work from my time at Bell Labs has been accepted to NeurIPS 2024! Huge thanks to my amazing collaborators, @raswak and @ChulhongM ! 👏 Stay tuned for the camera-ready version! #NeurIPS2024 @NeurIPSConf
📢 I am thrilled to start as an Assistant Professor at UNIST in the Department of CSE & AI Graduate School! Huge thanks to Bell Labs, my amazing colleagues, and my advisor Prof. @wewantsj for the unconditional support throughout my journey.
Curious about *estimating test-time adaptation (TTA) accuracy* without labeled data or source data access? Check out our #CVPR2024 paper on AETTA, a novel method for TTA accuracy estimation. 📄 Paper: arxiv.org/abs/2404.01351 💻 Code: github.com/taeckyung/AETTA (1/3)
📢I'm thrilled to announce my new role as a visiting scholar at the @Cambridge_Uni, hosted by Prof. Cecilia Mascolo (@cecim)! Excited to collaborate with the world-class research groups and brilliant students here! 🌟
📄 Thrilled to announce that our research, "ATTA: Label-Free Accuracy Estimation for Test-Time Adaptation," has been accepted at #CVPR2024! Kudos to the awesome team: @taeckyung_lee, @sornswgn, and @wewantsj 👏 Stay tuned for our camera-ready version and code!
🔥 Only 5 days left to apply – so act fast! Let's turn this summer into an unforgettable one! It's all about breaking things for research's sake! 🚀 ⏰ Deadline: January 15, 2024 📝 Apply here: lnkd.in/eHHMyZ-2 Details in the comments 👇
📢 Hello, future rockstars! It's that exciting time of year again when I invite you to join my Cambridge Lab for an unforgettable summer experience. If you're keen to make, shake, and break while engaging in curiosity-driven research, consider this your call. Reach out! 🤙🧑🔬🚀
Join us for a research internship this summer in Cambridge! Topics: self-supervised learning, federated learning, parameter-efficient fine-tuning, multimodal health (and more!) 🌟 Past interns have published works in top venues ⏰ Deadline: January 15
📄Join me for my #NeurIPS2023 poster presentation tomorrow! "SoTTA: Robust Test-Time Adaptation on Noisy Data Streams" 📆 When: Tue 12 Dec 10:45 am- 12:45 pm 📍 Where: Great Hall & Hall B1+B2 (level 1) # 1707 @NeurIPSConf #NeurIPS #NeurIPS23 #MachineLearning #AI #TTA
📢 Looking for wonderful research internship opportunities? Join us at Nokia Bell Labs (Cambridge, UK)! We have multiple research internship positions available.
📢 Hello, future rockstars! It's that exciting time of year again when I invite you to join my Cambridge Lab for an unforgettable summer experience. If you're keen to make, shake, and break while engaging in curiosity-driven research, consider this your call. Reach out! 🤙🧑🔬🚀
Excited to announce that our research on robust test-time adaptation for noisy streams has been accepted at #NeurIPS2023! Huge thanks to my incredible collaborators: @hai_yewon, @taeckyung_lee, @sornswgn, and @wewantsj. 🙌 Stay tuned for the code and camera-ready version!
