Jin Liu

Method for operating mode identification of multi‐function radars based on predictive state representations

2016 · IET Radar Sonar & Navigation

Operating mode identification of multi‐function radars (MFRs) is critical in radar threat evaluation and electronic jamming decisions. The hidden Markov model (HMM) in conventional methods relies on the MFR prior knowledge and cannot accurately describe …

Domain-specific Knowledge Guided Self-supervised Learning for Pathological Image Segmentation

2023

Self-supervised learning provides a possible solution to extract effective visual representations from unlabeled pathological images. However, most of the existing methods either do not effectively utilize domain-specific information or are designed and optimized for image …

Where Is Self-admitted Code Generated by Large Language Models on GitHub?

2024 · arXiv (Cornell University)

The increasing use of Large Language Models (LLMs) in software development has garnered significant attention from researchers evaluating the capabilities and limitations of LLMs for code generation. However, much of the research focuses on controlled …

Self-Supervised Text-Centric Sentiment Analysis via Sparse Cross-Modal Interactions

2024

Multi-modal sentiment analysis serves as a crucial research sub-topic within the field of multi-modal learning. Significant advancements have been achieved with the emergence of transformers and attention mechanisms, yet several prominent issues remain. Firstly, existing …

SynCoBERT: Syntax-Guided Multi-Modal Contrastive Pre-Training for Code Representation

2021 · arXiv (Cornell University)

Code representation learning, which aims to encode the semantics of source code into distributed vectors, plays an important role in recent deep-learning-based models for code intelligence. Recently, many pre-trained language models for source code (e.g., …