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Hi there, I am Jiaxin 👋!

🔭 I am a Staff Research Scientist at Intuit AI Research where my focus is Generative AI (large language models (LLMs), and diffusion models), and AI Robustness & Safety (uncertainty, reliability, and trustworthiness) with extensive applications to complex real-world tasks. Previously, I was a Research Staff in the Computer Science and Mathematics Division at Oak Ridge National Laboratory where my research aims at accelerating AI for Science on supercomputers, such as Summit and Frontier. I received my Ph.D. from the Johns Hopkins University with an emphasis on uncertainty quantification (UQ).

📫 You may find more information through my personal website and feel free to contact me via email at [email protected].

😄 Some recent publications in LLMs (full publication list in Google Scholar)

Jiaxin's GitHub stats

Jiaxin Zhang's Projects

structurednoiseinjection icon structurednoiseinjection

TensorFlow implementation of the CVPR2020 paper: Disentangled Image Generation Through Structured Noise Injection

stylegan_xl icon stylegan_xl

[SIGGRAPH'22] StyleGAN-XL: Scaling StyleGAN to Large Diverse Datasets

suod icon suod

(MLSys' 21) An Acceleration System for Large-scare Unsupervised Heterogeneous Outlier Detection (Anomaly Detection)

survae_flows icon survae_flows

Code for paper "SurVAE Flows: Surjections to Bridge the Gap between VAEs and Flows"

swa_gaussian icon swa_gaussian

Code repo for "A Simple Baseline for Bayesian Uncertainty in Deep Learning"

symbolic-learning-to-optimize icon symbolic-learning-to-optimize

[ICLR 2022] "Symbolic Learning to Optimize: Towards Interpretability and Scalability" by Wenqing Zheng, Tianlong Chen, Ting-Kuei Hu, Zhangyang Wang

taadpapers icon taadpapers

Must-read Papers on Textual Adversarial Attack and Defense

taichi icon taichi

Productive & portable programming language for high-performance, sparse & differentiable computing

taichi_mpm icon taichi_mpm

High-performance moving least squares material point method (MLS-MPM) solver. (ACM Transactions on Graphics, SIGGRAPH 2018)

tods icon tods

TODS: An Automated Time-series Outlier Detection System

torchdrug icon torchdrug

A powerful and flexible machine learning platform for drug discovery

tosse icon tosse

An Efficient 51 lines Matlab code for topology optimization.

toy_gradlogp icon toy_gradlogp

Some toy examples of score matching algorithms written in PyTorch

trumpets icon trumpets

official repo for Trumpets: Injective Flows for Inference and Inverse Problems

uaml icon uaml

Uncertainty-aware classification.

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