Hui Liu

Enhancing Automated Requirements Traceability by Resolving Polysemy

2018

Requirements traceability provides critical support throughout all phases of software engineering. Automated tracing based on information retrieval (IR) reduces the effort required to perform a manual trace. Unfortunately, IR-based trace recovery suffers from low precision …

A study of individual identification of radiation source based on feature extraction and deep learning

2021 · Journal of Physics Conference Series

Abstract Emitter identification technology can distinguish the types of radiation sources and identify the identity of emitter. It has broad application prospects in both military and civilian fields. The article mainly reviews the radiation source …

AutoEmb: Automated Embedding Dimensionality Search in Streaming Recommendations

2021

Deep learning-based recommender systems (DLRSs) often have embedding layers, which are utilized to lessen the dimension of categorical variables (e.g., user/item identifiers) and meaningfully transform them in the low-dimensional space. The majority of existing DLRSs …

Research on problems and countermeasures in reading skills training of boys majoring in preschool education

2022 · SHS Web of Conferences

At present, reading teaching is a very important content in preschool education teaching, which plays an important role in improving the comprehensive quality of students. But at present, there are still many problems in reading …

Enhancing Graph Representations Learning with Decorrelated Propagation

2023

In recent years, graph neural networks (GNNs) have been widely used in many domains due to their powerful capability in representation learning on graph-structured data. While a majority of extant studies focus on mitigating the …

Ensemble Knowledge Distillation for Federated Semi-Supervised Image Classification

2024 · Tsinghua Science & Technology

Federated learning is an emerging privacy-preserving distributed learning paradigm, in which many clients collaboratively train a shared global model under the orchestration of a remote server. Most current works on federated learning have focused on …

Node Attention-Embedded Broad Learning Method for Few-Shot Specific Emitter Identification

2025 · IEEE Communications Letters

In non-cooperative communication reconnaissance scenarios, the limited number of intercepted signals introduces the few-shot specific emitter identification (SEI) problem. Deep learning-based SEI methods are prone to overfitting, resulting in poor recognition performance under few-shot conditions. …

Evidential Reasoning Rule Learning

2025 · IEEE Transactions on Artificial Intelligence

In recent decades, artificial intelligence (AI), particularly machine learning (ML), has achieved remarkable advancements. However, the practical implementation of ML in critical real-world applications remains constrained due to the concerns on building reliable ML model. …

SimRAG: Self-Improving Retrieval-Augmented Generation for Adapting Large Language Models to Specialized Domains

2025

Ran Xu, Hui Liu, Sreyashi Nag, Zhenwei Dai, Yaochen Xie, Xianfeng Tang, Chen Luo, Yang Li, Joyce C. Ho, Carl Yang, Qi He. Proceedings of the 2025 Conference of the Nations of the Americas Chapter …