activity
20172026
most citedSelf-Supervised Contrastive Learning for Code Retrieval and Summarization via Semantic-Preserving Transformations

98 citations · 287 across the 45 of their papers we have counts for

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7 papers · 1 filter

cs.LG2026

GRAIN: Group Aggregation via Min-Norm Objective

Nghia Bui, Jiarui Yao, Lijing Wang

Learning instability is a long-standing problem across machine learning, but it is especially acute in the overparameterized regime that defines modern deep learning: large models…

cs.LG2025

On DeepSeekMoE: Statistical Benefits of Shared Experts and Normalized Sigmoid Gating

Huy Nguyen, Thong T. Doan, Quang Pham +3

Mixture of experts (MoE) methods are a key component in most large language model architectures, including the recent series of DeepSeek models. Compared to other MoE implementatio…

cs.LG2021

Energy-bounded Learning for Robust Models of Code

Nghi D. Q. Bui, Yijun Yu

In programming, learning code representations has a variety of applications, including code classification, code search, comment generation, bug prediction, and so on. Various repr…

cs.LG2019★ 3 cited

TreeCaps: Tree-Structured Capsule Networks for Program Source Code Processing

Vinoj Jayasundara, Nghi Duy Quoc Bui, Lingxiao Jiang +1

Program comprehension is a fundamental task in software development and maintenance processes. Software developers often need to understand a large amount of existing code before t…

cs.LG2019★ 2 cited

SAR: Learning Cross-Language API Mappings with Little Knowledge

Nghi D. Q. Bui, Yijun Yu, Lingxiao Jiang

To save manual effort, developers often translate programs from one programming language to another, instead of implementing it from scratch. Translating application program interf…

cs.LG2018★ 10 cited

Hierarchical Learning of Cross-Language Mappings through Distributed Vector Representations for Code

Nghi D. Q. Bui, Lingxiao Jiang

Translating a program written in one programming language to another can be useful for software development tasks that need functionality implementations in different languages. Al…

cs.LG2017★ 12 cited

Cross-Language Learning for Program Classification using Bilateral Tree-Based Convolutional Neural Networks

Nghi D. Q. Bui, Lingxiao Jiang, Yijun Yu

Towards the vision of translating code that implements an algorithm from one programming language into another, this paper proposes an approach for automated program classification…