404 Page Not Found
Page not found. Your pixels are in another canvas.
Sitemap
A list of all the posts and pages found on the site. For you robots out there is an XML version available for digesting as well.
Pages
About Me
About me
Page not in menu
This is a page not in th emain menu
Posts
PyTorch from Scratch
Published:
Use PyTorch to build your neural network.
Neural Architecture Search: A Survey
Published:
Elsken, Thomas, Jan Hendrik Metzen, and Frank Hutter. “Neural architecture search: A survey.” The Journal of Machine Learning Research 20.1 (2019): 1997-2017.
Sequence Models
Published:
RNN, GRU, and LSTM
Deep Learning from Scratch
Published:
Neural Networks and Deep Learning & Improving Deep Neural Networks: Hyperparameter, Tuning, Regularization and Optimization
portfolio
Portfolio item number 1
Short description of portfolio item number 1
Portfolio item number 2
Short description of portfolio item number 2
publications
A Parallel Gannet Optimization Algorithm with Communication Strategies (PGOA)
Published in The 18th International Conference on Intelligent Information Hiding and Multimedia Signal Processing, 2023
Meta-heuristic algorithms have gained remarkable success in solving complex and large-scale problems. However, as the dimension of the problem increases, their elaborate implementations may lead to lower convergence speed and struggle with local optima easily. In this paper, a parallel Gannet Optimization Algorithm (GOA) with two novel communication strategies is proposed, and comparisons with the original GOA on 13 100-dimension benchmark functions are committed. Comprehensive experimental results indicate that the improved algorithm outperforms the original algorithm in not only better escaping local optima but also shorter running time.
Recommended citation: Su, Jing-Bo, et al. "A Parallel Gannet Optimization Algorithm with Communication Strategies (PGOA)." International Conference on Intelligent Information Hiding and Multimedia Signal Processing. Singapore: Springer Nature Singapore, 2022.
Enhancing Adversarial Attacks through Chain of Thought
Published in , 2024
This paper enhances adversarial attacks on aligned LLMs by integrating chain of thought prompts with the greedy coordinate gradient technique, improving attack robustness and transferability, and evaluating harmful interactions using Llama Guard.
Recommended citation: Jingbo Su. "Enhancing Adversarial Attacks through Chain of Thought."
talks
Talk 1 on Relevant Topic in Your Field
Published:
This is a description of your talk, which is a markdown files that can be all markdown-ified like any other post. Yay markdown!
Conference Proceeding talk 3 on Relevant Topic in Your Field
Published:
This is a description of your conference proceedings talk, note the different field in type. You can put anything in this field.
teaching
Teaching experience 1
Undergraduate course, University 1, Department, 2014
This is a description of a teaching experience. You can use markdown like any other post.
Teaching experience 2
Workshop, University 1, Department, 2015
This is a description of a teaching experience. You can use markdown like any other post.