no code implementations • 3 Feb 2024 • Le Chen, Nesreen K. Ahmed, Akash Dutta, Arijit Bhattacharjee, Sixing Yu, Quazi Ishtiaque Mahmud, Waqwoya Abebe, Hung Phan, Aishwarya Sarkar, Branden Butler, Niranjan Hasabnis, Gal Oren, Vy A. Vo, Juan Pablo Munoz, Theodore L. Willke, Tim Mattson, Ali Jannesari
Recently, language models (LMs), especially large language models (LLMs), have revolutionized the field of deep learning.
no code implementations • 9 Aug 2023 • Hung Phan, Ali Jannesari
Our NMT models of learning ASTTrans Representation can boost the Mean Reciprocal Rank of these state-of-the-art code search processes by up to 3. 08% and improve 23. 08% of queries' results over the CAT benchmark.
no code implementations • 9 May 2023 • Le Chen, Quazi Ishtiaque Mahmud, Hung Phan, Nesreen K. Ahmed, Ali Jannesari
However, applying machine learning techniques to parallelism detection presents several challenges, such as the lack of an adequate dataset for training, an effective code representation with rich information, and a suitable machine learning model to learn the latent features of code for diverse analyses.
no code implementations • 22 Jun 2022 • Hung Phan, Ali Jannesari
For time performance, we achieve about 570 seconds as the time performance in both three processes: node embedding initialization, model construction, and story point estimation.
3 code implementations • 17 Mar 2022 • Dat Vu, Bao Ngo, Hung Phan
Based on these optimizations, we have developed an end-to-end perception network to perform multi-tasking, including traffic object detection, drivable area segmentation and lane detection simultaneously, called HybridNets, which achieves better accuracy than prior art.
Ranked #2 on Lane Detection on BDD100K val
no code implementations • 6 Mar 2022 • Hung Phan, Ali Jannesari
In this paper, we show the potential and possible challenges of Graph Neural Network text classification in story point level estimation.
no code implementations • 6 Sep 2019 • Hung Phan
Automatically generating code from a textual description of method invocation confronts challenges.