09.23
BugComp is accepted to NeurIPS 2023.
05.23
Joined UCSF as a Postdoc Scholar!
03.23
Defended Ph.D. Thanks Kangwook and everyone!
10.22
Happy to receive the NeurIPS Scholar Award
10.22
BugComp is accepted to AMLC (ML for Code)
10.22
WALIP is accepted to EMNLP 2022 (Findings)
09.22
LIFT is accepted to NeurIPS 2022.
08.22
PROS is accepted to MobiCom 2022.
06.22
Starts internship at AWS AI Research and Education
06.22
LIFT is available on Arxiv
06.22
WALIP is available on Arxiv
05.21
CodedInvnet is accepted to ICML-21
04.20
I’m fortunate to be supervised by Prof. Kangwook Lee
| Link | Topic | Title | Summary | Github | |
|---|---|---|---|---|---|
| NeurIPS'23 | LLM | Large Language Models of Code Fail at Completing Code with Potential Bugs | summary | code | |
| TL;DR: | LLMs may fail drastically at completing functional code when potential bugs (aka anti-flow pattens) exist in the context. | ||||
| EMNLP'22 (Findings) | Multimodal | Utilizing Language-Image Pretraining for Efficient and Robust Bilingual Word Alignment | summary | code | |
| TL;DR: | Text-Image correlation (via CLIP embedding) can be effeciently utilized with static embedding for robust word translation. | ||||
| NeurIPS'22 | LLM | LIFT: Language-Interfaced Fine-Tuning for Non-Language Machine Learning Tasks | summary | code | |
| TL;DR: | Pretrained LLMs, via language-interface, can be useful for learning non-language tasks, e.g., tabular data classification. | ||||
| ICMLW'22 | GAN, PEFT | Improved Input Reprogramming for GAN Conditioning | summary | code | |
| TL;DR: | Pretrained GANs can be efficiently repurposed (without modification) to conditionally generate samples in their support. | ||||
| ICML'21 (Oral) | MLSys, GAN | Coded-InvNet for Resilient Prediction Serving Systems | summary | code | |
| TL;DR: | Coded-InvNet is a coded computation method combined with image-to-image translation to improve resilience of MLSS. | ||||
| TPAMI'20 | GAN, Medical Imaging | Performing Group Difference Testing on Graph Structured Data from GANs: Analysis and Applications in Neuroimaging | code | ||
| TL;DR: | Analyzing when GAN-based data can obtain the similar conclusions with trained data in scientific or biomedical studies. | ||||
| AAAI'20 (Oral) | Optimization, GAN | The Promise of Conditional Gradient Methods for Training Deep Models | code | ||
| TL;DR: | Conditional gradients can be utilized to faster training of deep networks with provably better generalization guarantees. | ||||
| Link | Topic | Title | Summary | Github |
|---|---|---|---|---|
| MobiCom'22 | Healthcare | PROS: an Efficient Pattern-Driven Compressive Sensing Framework for Low-Power Biopotentialbased Wearables with On-chip Intelligence | code | |
| MobiSys'21 | Healthcare | WAKE: A Behind-the-ear Wearable System for Microsleep Detection | ||
| IEEE TMC'21 | Healthcare | Detection of Microsleep Events with a Behind-the-ear Wearable System | ||
| Oxford Journal'18 | Epidemiology | Forecasting Dengue Incidences: Statistical and Dynamic Models | ||
| CtaD'17 | Medical Imaging | Graph Imputation techniques for estimating amyloid positivity from longitudinal cognitive and MRI measurements for efficient secondary prevention trials | ||
| ACIIDS'16 (Oral) | Epidemiology | Forecasting the Magnitude of Dengue in Southern Vietnam |
| Link | Topic | Title |
|---|---|---|
| US 11087525 | AI Framework, Inverse Graphics | Unsupervised learning of three dimensional visual alphabet |
| US 16186121 | Algorithm, Training Framework | Training System for Artificial Neural Networks Having a Global Weight Constrainer |