05.25
Submitted our work on ESM for variant effect prediction
05.25
TabFlex is accepted to ICML 2025 (Spotlight). Thanks Yuchen and colaborators at Microsoft.
05.25
The two collaborated works on protein language models are under review
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
| ICML'25 (Spotlight) | LLM | TabFlex: Scaling Tabular Learning to Millions with Linear Attention | summary | code |
| NeurIPS'23 | LLM | Large Language Models of Code Fail at Completing Code with Potential Bugs | summary | code |
| EMNLP'22 (Findings) | Multimodal | Utilizing Language-Image Pretraining for Efficient and Robust Bilingual Word Alignment | summary | code |
| NeurIPS'22 | LLM | LIFT: Language-Interfaced Fine-Tuning for Non-Language Machine Learning Tasks | summary | code |
| ICMLW'22 | GAN, PEFT | Improved Input Reprogramming for GAN Conditioning | summary | code |
| ICML'21 (Oral) | MLSys, GAN | Coded-InvNet for Resilient Prediction Serving Systems | summary | code |
| TPAMI'20 | GAN, Medical Imaging | Performing Group Difference Testing on Graph Structured Data from GANs: Analysis and Applications in Neuroimaging | code | |
| AAAI'20 (Oral) | Optimization, GAN | The Promise of Conditional Gradient Methods for Training Deep Models | code |
| MobiCom'22 | Healthcare | PROS: an Efficient Pattern-Driven Compressive Sensing Framework for Low-Power Biopotentialbased Wearables with On-chip Intelligence | summary | code |
| MobiSys'21 | Healthcare | WAKE: A Behind-the-ear Wearable System for Microsleep Detection | summary | code |
| 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 |
| 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 |