Jingfei Chang - RankMe

27 papers A* 1A 1Journal 22Unranked 3

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	Distributed Two-Tier Edge Computing in Integrated Satellite-Terrestrial Networks: A Multiagent Deep Deterministic Policy Gradient Approach. IEEE Internet Things J. Shanyun Liu, Xiangming Zhu, Jingfei Chang, Tao Xu, Hongyang Chen, Zhu Han
2025	—	`conf`	CLIP Multi-modal Hashing for Multimedia Retrieval. MMM (1) Jian Zhu, Mingkai Sheng, Zhangmin Huang, Jingfei Chang, Jinling Jiang, Jian Long, Cheng Luo, Lei Liu
2025	—	`conf`	Cooperative Two-Dimensional Hierarchical All-Reduce for Large Language Model Training with Heterogeneous Communication Links. VTC2025-Spring Xiangming Zhu, Shanyun Liu, Jingfei Chang, Hongyang Chen
2024	J	`jnl`	BAP: Bilateral asymptotic pruning for optimizing CNNs on image tasks. Inf. Sci. Jingfei Chang, Liping Tao, Bo Lyu, Xiangming Zhu, Shanyun Liu, Qiaosha Zou, Hongyang Chen
2024	J	`jnl`	CLIP Multi-modal Hashing for Multimedia Retrieval. CoRR Jian Zhu, Mingkai Sheng, Zhangmin Huang, Jingfei Chang, Jinling Jiang, Jian Long, Cheng Luo, Lei Liu
2024	—	`conf`	Deep Prompt Multi-task Network for Abuse Language Detection. ICPR (1) Jian Zhu, Yuping Ruan, Jingfei Chang, Wenhui Sun, Hui Wan, Jian Long, Cheng Luo
2024	J	`jnl`	Deep Prompt Multi-task Network for Abuse Language Detection. CoRR Jian Zhu, Yuping Ruan, Jingfei Chang, Cheng Luo
2024	J	`jnl`	Efficient multi-objective neural architecture search framework via policy gradient algorithm. Inf. Sci. Bo Lyu, Yin Yang, Yuting Cao, Pengcheng Wang, Jian Zhu, Jingfei Chang, Shiping Wen
2024	A	`conf`	Enhancing BERT Performance: Multi-teacher Adversarial Distillation with Clean and Robust Guidance. ER Xunjin Wu, Jingfei Chang, Wen Cheng, Yunxiang Wu, Yong Li, Lingfang Zeng
2023	J	`jnl`	CLIP Multi-modal Hashing: A new baseline CLIPMH. CoRR Jian Zhu, Mingkai Sheng, Mingda Ke, Zhangmin Huang, Jingfei Chang
2023	A*	`conf`	Fast and Accurate Binary Neural Networks Based on Depth-Width Reshaping. AAAI Ping Xue, Yang Lu, Jingfei Chang, Xing Wei, Zhen Wei
2023	J	`jnl`	IR Neural Comput. Appl. Ping Xue, Yang Lu, Jingfei Chang, Xing Wei, Zhen Wei
2023	J	`jnl`	Iterative clustering pruning for convolutional neural networks. Knowl. Based Syst. Jingfei Chang, Yang Lu, Ping Xue, Yiqun Xu, Zhen Wei
2022	J	`jnl`	Automatic channel pruning via clustering and swarm intelligence optimization for CNN. Appl. Intell. Jingfei Chang, Yang Lu, Ping Xue, Yiqun Xu, Zhen Wei
2022	J	`jnl`	Global balanced iterative pruning for efficient convolutional neural networks. Neural Comput. Appl. Jingfei Chang, Yang Lu, Ping Xue, Yiqun Xu, Zhen Wei
2022	J	`jnl`	IR2Net: Information Restriction and Information Recovery for Accurate Binary Neural Networks. CoRR Ping Xue, Yang Lu, Jingfei Chang, Xing Wei, Zhen Wei
2022	J	`jnl`	Self-distribution binary neural networks. Appl. Intell. Ping Xue, Yang Lu, Jingfei Chang, Xing Wei, Zhen Wei
2021	J	`jnl`	ACP: Automatic Channel Pruning via Clustering and Swarm Intelligence Optimization for CNN. CoRR Jingfei Chang, Yang Lu, Ping Xue, Yiqun Xu, Zhen Wei
2021	J	`jnl`	AIP: Adversarial Iterative Pruning Based on Knowledge Transfer for Convolutional Neural Networks. CoRR Jingfei Chang, Yang Lu, Ping Xue, Yiqun Xu, Zhen Wei
2021	J	`jnl`	Compressing convolutional neural networks via intermediate features. J. Intell. Fuzzy Syst. Jingfei Chang, Yang Lu, Ping Xue, Xing Wei, Zhen Wei
2021	J	`jnl`	MPT-embedding: An unsupervised representation learning of code for software defect prediction. J. Softw. Evol. Process. Ke Shi, Yang Lu, Guangliang Liu, Zhenchun Wei, Jingfei Chang
2021	J	`jnl`	Self-Distribution Binary Neural Networks. CoRR Ping Xue, Yang Lu, Jingfei Chang, Xing Wei, Zhen Wei
2020	J	`jnl`	Coarse and fine-grained automatic cropping deep convolutional neural network. CoRR Jingfei Chang
2020	J	`jnl`	PathPair2Vec: An AST path pair-based code representation method for defect prediction. J. Comput. Lang. Ke Shi, Yang Lu, Jingfei Chang, Zhen Wei
2020	J	`jnl`	UCP: Uniform Channel Pruning for Deep Convolutional Neural Networks Compression and Acceleration. CoRR Jingfei Chang, Yang Lu, Ping Xue, Xing Wei, Zhen Wei
2019	J	`jnl`	Convolutional Neural Networks-Based Locating Relevant Buggy Code Files for Bug Reports Affected by Data Imbalance. IEEE Access Guangliang Liu, Yang Lu, Ke Shi, Jingfei Chang, Xing Wei
2019	J	`jnl`	Mapping Bug Reports to Relevant Source Code Files Based on the Vector Space Model and Word Embedding. IEEE Access Guangliang Liu, Yang Lu, Ke Shi, Jingfei Chang, Xing Wei