Title: Understanding and Bridging the Gap Between Unsupervised Network Representation Learning and Security Analytics Author: Jiacen Xu, Xiaokui Shu and Zhou Li Conference: 2024 IEEE Symposiu...

Title: On Adversarial Robustness of Point Cloud Semantic Segmentation Author: Jiacen Xu, Zhe Zhou, Boyuan Feng, Yufei Ding and Zhou Li Conference: The 53rd Annual IEEE/IFIP International Conf...

In the blog, I would like to talk about my exploiting of Large Language Deployment in a linux server. TL; DR: I use LMDeploy to deploy the large language models like llama2 with the TurboMind b...

1. Attention is All You Need Paper/TF_code/Torch_code Main Idea The paper is the first to propose a parallel Transformer in the sequence transduction models. Key insight The problems of the RNN (...

1. Transformer[1] I start it by following the video[1] from Andrej Karpathy and check the code from the repo. In the video, he shows how to build a GPT by oneself step by step which also shows the...

The note is for the course: DeepLearning.AI ChatGPT Prompt Engineering Course. ChatGPT Prompt Engineering for Developers Course link: https://learn.deeplearning.ai/chatgpt-prompt-eng/lesson/1/intr...

I use the blog to record my learning procedures of reinforcement learning course from Hugging Face Unit 1: Introduction to Deep Reinforcement Learning Concepts: Reinforcement Learning is a com...

1. GPT-GNN: Generative Pre-Training of Graph Neural Networks Paper/Code Main Idea The paper considers the generative pretrained model (GPT) and combine it with Graph Neural Network (GNN) to introd...

1. Pytorch Reproducibility There is a official page talking about the logic of the reproducibility of PyTorch. Basically, the following snippet support the reproducibility: import numpy as np impor...

Interview Preparation 1. Top 10 mistakes Practicing on a computer: Use pen and paper Not rehearsing Behavioral Questions Not doing a mock interview Trying to Memorize Solutions Not solu...