A Survey on Neural Network Language Models. - Kun Jing; Jungang Xu (CoRR, 2019)

NASABN: A Neural Architecture Search Framework for Attention-Based Networks. - Kun Jing; Jungang Xu; Hui Xu (IJCNN, 2020)

Graph Masked Autoencoder Enhanced Predictor for Neural Architecture Search. - Kun Jing; Jungang Xu; Pengfei Li (IJCAI, 2022)

A Graph Architecture Search Method Based On Grouped Operations. - Luoyu Chen; Jungang Xu; Kun Jing; Yingfei Sun (IJCNN, 2022)

A neural architecture generator for efficient search space. - Kun Jing; Jungang Xu; Zhen Zhang (Neurocomputing, 2022)

An architecture entropy regularizer for differentiable neural architecture search. - Kun Jing; Luoyu Chen; Jungang Xu (Neural Networks, 2023)

A Neural Architecture Predictor based on GNN-Enhanced Transformer. - Xunzhi Xiang; Kun Jing; Jungang Xu (AISTATS, 2024)

NAS-Bench-Compre: A Comprehensive Neural Architecture Search Benchmark with Customizable Components. - Di Wang; Kun Jing; Jungang Xu (ICANN (1), 2024)

Feature Activation-Driven Zero-Shot NAS: A Contrastive Learning Framework. - Di Wang; Xunzhi Xiang; Kun Jing; Jungang Xu (ICANN (1), 2024)

Improving Image Captioning with Image Concepts of Words. - Yiyu Wang; Xunzhi Xiang; Kun Jing; Jungang Xu; Yingfei Sun (KSEM (2), 2024)

Zero-shot neural architecture search with weighted response correlation. - Kun Jing; Luoyu Chen; Jungang Xu; Jianwei Tai; Yiyu Wang; Shuaimin Li (Neurocomputing, 2025)