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Hi there 👋

I'm now a fourth-year PhD candidate at the National University of Singapore supervised by Prof. Dong Jin Song.

My research focuses on robust and trustworthy machine learning techniques, emphasizing understanding, debugging, and ensuring the behavior of machine learning models. I've particularly created a visual interactive system that vividly depicts the internal evolution of deep neural networks, allowing for the inspection of ML pipelines and the identification of potential issues.

My research is always evolving, and I'm always looking for new perspectives and collaboration opportunities. Please feel free to contact me if you're interested in connecting.

Please see my homepage for my recent activities!

xianglin's Projects

active_learning_coreset icon active_learning_coreset

Source code for ICLR 2018 Paper: Active Learning for Convolutional Neural Networks: A Core-Set Approach

backdoor_attack_nlp icon backdoor_attack_nlp

An open-source toolkit for textual backdoor attack and defense (NeurIPS 2022 D&B, Spotlight)

chatrooms icon chatrooms

The final project for course Computer Network

continual-learning icon continual-learning

PyTorch implementation of various methods for continual learning (XdG, EWC, SI, LwF, FROMP, DGR, BI-R, ER, A-GEM, iCaRL, Generative Classifier) in three different scenarios.

cs-books icon cs-books

📚 Computer Science Books 计算机技术类书籍 PDF

data-structure icon data-structure

This repository contains weekly course work and a final project.

deepdebugger icon deepdebugger

Official source code for ESEC/FSE 2023 Paper: DeepDebugger: An Interactive Time-Travelling Debugging Approach for Deep Classifiers

deeplearning icon deeplearning

深度学习入门教程, 优秀文章, Deep Learning Tutorial

deepview icon deepview

This is an implementation of the DeepView framework that was presented in the paper Schulz, A., Hinder, F., & Hammer, B. (2020): https://www.ijcai.org/Proceedings/2020/319. Also available on Arxiv (2019 version): https://arxiv.org/abs/1909.09154.

deepvisualinsight icon deepvisualinsight

DeepVisualInsight (DVI) is a time-travelling visualization solution for how the classification boundaries of a learned model is trained in two-dimensional space.

discriminativeactivelearning icon discriminativeactivelearning

Code and website for DAL (Discriminative Active Learning) - a new active learning algorithm for neural networks in the batch setting. For the blog:

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