Particle swarm optimization using multi-level adaptation and purposeful detection operators. - Xuewen Xia; Chengwang Xie; Bo Wei 004; Zhongbo Hu; Bojian Wang; Chang Jin (Inf. Sci., 2017)

A sophisticated PSO based on multi-level adaptation and purposeful detection. - Xuewen Xia; Bojian Wang; Chengwang Xie; Zhongbo Hu; Bo Wei 004; Chang Jin (Soft Comput., 2018)

AdMix: A Mixed Sample Data Augmentation Method for Neural Machine Translation. - Chang Jin; Shigui Qiu; Nini Xiao; Hao Jia (IJCAI, 2022)

Random Concatenation: A Simple Data Augmentation Method for Neural Machine Translation. - Nini Xiao; Huaao Zhang; Chang Jin; Xiangyu Duan (NLPCC (1), 2022)

Manifold's English-Chinese System at WMT22 General MT Task. - Chang Jin; Tingxun Shi; Zhengshan Xue; Xiaodong Lin (WMT, 2022)

Enhanced Adaptive Graph Convolutional Network for Long-Term Fine-Grained SST Prediction. - Han Peng; Chang Jin; Wengen Li; Jihong Guan (IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens., 2023)

On Evaluating the Predictability of Sea Surface Temperature Using Entropy. - Chang Jin; Han Peng; Hanchen Yang; Wengen Li; Jihong Guan (Remote. Sens., 2023)

M3-20M: A large-scale multi-modal molecule dataset for AI-driven drug design and discovery. - Siyuan Guo; Lexuan Wang; Chang Jin; Jinxian Wang; Han Peng; Huayang Shi; Wengen Li; Jihong Guan; Shuigeng Zhou (J. Bioinform. Comput. Biol., 2025)

Effective and Explainable Molecular Property Prediction by Chain-of-Thought Enabled Large Language Models and Multi-Modal Molecular Information Fusion. - Chang Jin; Siyuan Guo; Shuigeng Zhou; Jihong Guan (J. Chem. Inf. Model., 2025)