Mapping Bug Reports to Relevant Source Code Files Based on the Vector Space Model and Word Embedding. - Guangliang Liu; Yang Lu 015; Ke Shi 004; Jingfei Chang; Xing Wei 002 (IEEE Access, 2019)

Convolutional Neural Networks-Based Locating Relevant Buggy Code Files for Bug Reports Affected by Data Imbalance. - Guangliang Liu; Yang Lu 015; Ke Shi 004; Jingfei Chang; Xing Wei 002 (IEEE Access, 2019)

UCP: Uniform Channel Pruning for Deep Convolutional Neural Networks Compression and Acceleration. - Jingfei Chang; Yang Lu 015; Ping Xue 012; Xing Wei 002; Zhen Wei (CoRR, 2020)

Coarse and fine-grained automatic cropping deep convolutional neural network. - Jingfei Chang (CoRR, 2020)

PathPair2Vec: An AST path pair-based code representation method for defect prediction. - Ke Shi 004; Yang Lu 015; Jingfei Chang; Zhen Wei (J. Comput. Lang., 2020)

ACP: Automatic Channel Pruning via Clustering and Swarm Intelligence Optimization for CNN. - Jingfei Chang; Yang Lu 015; Ping Xue 012; Yiqun Xu; Zhen Wei (CoRR, 2021)

AIP: Adversarial Iterative Pruning Based on Knowledge Transfer for Convolutional Neural Networks. - Jingfei Chang; Yang Lu 015; Ping Xue 012; Yiqun Xu; Zhen Wei (CoRR, 2021)

Compressing convolutional neural networks via intermediate features. - Jingfei Chang; Yang Lu 015; Ping Xue 012; Xing Wei 002; Zhen Wei (J. Intell. Fuzzy Syst., 2021)

MPT-embedding: An unsupervised representation learning of code for software defect prediction. - Ke Shi 004; Yang Lu 015; Guangliang Liu; Zhenchun Wei; Jingfei Chang (J. Softw. Evol. Process., 2021)

Automatic channel pruning via clustering and swarm intelligence optimization for CNN. - Jingfei Chang; Yang Lu 015; Ping Xue 012; Yiqun Xu; Zhen Wei (Appl. Intell., 2022)

Self-distribution binary neural networks. - Ping Xue 012; Yang Lu 015; Jingfei Chang; Xing Wei 002; Zhen Wei (Appl. Intell., 2022)

IR2Net: Information Restriction and Information Recovery for Accurate Binary Neural Networks. - Ping Xue 012; Yang Lu 015; Jingfei Chang; Xing Wei 002; Zhen Wei (CoRR, 2022)

Global balanced iterative pruning for efficient convolutional neural networks. - Jingfei Chang; Yang Lu 015; Ping Xue 012; Yiqun Xu; Zhen Wei (Neural Comput. Appl., 2022)

Fast and Accurate Binary Neural Networks Based on Depth-Width Reshaping. - Ping Xue 012; Yang Lu 015; Jingfei Chang; Xing Wei 002; Zhen Wei (AAAI, 2023)

CLIP Multi-modal Hashing: A new baseline CLIPMH. - Jian Zhu; Mingkai Sheng; Mingda Ke; Zhangmin Huang; Jingfei Chang (CoRR, 2023)

Iterative clustering pruning for convolutional neural networks. - Jingfei Chang; Yang Lu 015; Ping Xue 012; Yiqun Xu; Zhen Wei (Knowl. Based Syst., 2023)

IR2Net: information restriction and information recovery for accurate binary neural networks. - Ping Xue 012; Yang Lu 015; Jingfei Chang; Xing Wei 002; Zhen Wei (Neural Comput. Appl., 2023)

Enhancing BERT Performance: Multi-teacher Adversarial Distillation with Clean and Robust Guidance. - Xunjin Wu; Jingfei Chang; Wen Cheng; Yunxiang Wu; Yong Li; Lingfang Zeng (ER, 2024)

Deep Prompt Multi-task Network for Abuse Language Detection. - Jian Zhu; Yuping Ruan; Jingfei Chang; Wenhui Sun; Hui Wan; Jian Long; Cheng Luo (ICPR (1), 2024)

Deep Prompt Multi-task Network for Abuse Language Detection. - Jian Zhu; Yuping Ruan; Jingfei Chang; Cheng Luo (CoRR, 2024)

BAP: Bilateral asymptotic pruning for optimizing CNNs on image tasks. - Jingfei Chang; Liping Tao; Bo Lyu; Xiangming Zhu 001; Shanyun Liu; Qiaosha Zou; Hongyang Chen (Inf. Sci., 2024)

Efficient multi-objective neural architecture search framework via policy gradient algorithm. - Bo Lyu; Yin Yang 001; Yuting Cao; Pengcheng Wang; Jian Zhu; Jingfei Chang; Shiping Wen 001 (Inf. Sci., 2024)

CLIP Multi-modal Hashing for Multimedia Retrieval. - Jian Zhu; Mingkai Sheng; Zhangmin Huang; Jingfei Chang; Jinling Jiang; Jian Long; Cheng Luo; Lei Liu 029 (MMM (1), 2025)