[1]Tonglai Liu, Bohao Zhang, Qinyue Zheng, Chengqing Cai, Xuekai Gao, Caijian Xie, Yu Wu, Hassan Shahbaz Gul, Shuangyin Liu*,Longqin Xu*. A method for fusing attention mechanism-based ResNet and improved ConvNeXt for analyzing fish feeding behavior[J]. Aquaculture International, 2025, 33(3): 193.( SCI, JCR 2区) [2]Tonglai Liu, Min He, Zhuhong Che, Shuangyin Liu, Longqin Xu, A Hybrid Enhanced Optimization Architecture-Based Model for Long-Term Water Temperature Prediction in Aquaculture[J], Aquaculture International. 33, 276 (2025). https://doi.org/10.1007/s10499-025-01958-1( SCI, JCR 2区) [3]Tonglai Liu,Weijie Guo,Mingguang Liu,Xuanzhou Chen,Wanzhen Zhang* &Shuangyin Liu*. An Adaptive Canny Edge detection architecture with dual attention for precise segmentation of individual aquaculture ponds[J]. International Journal of Image and Data Fusion, 17(1). https://doi.org/10.1080/19479832.2026.2621046( SCI, JCR 2区) [4]Tonglai Liu, Yixuan Wang,Chengcheng Yang,Youliu Zhang, Wanzhen Zhang. A lightweight hybrid CNN-ViT network for weed recognition in paddy fields[J]. Mathematics. 2025, 13(17), 2899; https://doi.org/10.3390/math13172899(SCI, JCR 1区). [5]Liu Tonglai, Mingguang Liu, Chengcheng Yang, Ancong Wu, Xiaodong Li, and Wenzhao Wei. Lightweight Model Improvement and Application for Rice Disease Classification[J]. Electronics, 14, no. 16: 3331. https://doi.org/10.3390/electronics14163331 [6]Tonglai Liu, Xuanzhou Chen, Wanzhen Zhang, Xuekai Gao, Liqiong Lu *, Shuangyin Liu *. Early plant classification model based on dual attention mechanism and multi-scale module[J].AgriEngineering. 2025, 7(3), 66. [7]Jianjun Guo, Yiyou Kong, Lijun Lin, Longqin Xu, Dachun Feng, Liang Gao, Jiexin Chen, Junwei Ye, Shuqing Ye, Zhaozhong Yao, Yue Liu, Tonglai Liu*, Shuangyin Liu. Lightweight Network based on Fourth Order Runge-Kutta Scheme and Hybrid Attention Module for Pig Face Recognition[J]. Computers and Electronics in Agriculture, 223 (2024) 109099. ( SCI, JCR 1区) [8]Liqiong Lu, Dong Wu, Liuyin Wang, Wanzhen Zhang and Tonglai Liu*, Underwater Image Enhancement Based on Transformer, Attention, and Multi-Color-Space Inputs[J]. IEEE Access, 2025(13):103682-103696 [9]Tonglai Liu,Ronghai Luo, Longqin Xu, Dachun Feng, Liang Cao,Shuangyin Liu, and Jianjun Guo. Spatial Channel Attention for Deep Convolutional Neural Networks[J]. Mathematics. 2022; 10(10):1750. https://doi.org/10.3390/math10101750.( SCI, JCR 2区) [10]Tonglai Liu, Jigang Wu, Jiaxing Li, Jingyi Li and Zikai Zhang. Efficient Algorithms for Storage Load Balancing of Outsourced Data In Blockchain Network[J]. The Computer Journal. 2022, 65(6). (SCI, CCF B类) [11]Tonglai Liu, Jigang Wu, Jiaxing Li, Jingyi Li and Yidong Li. Efficient Decentralized Access Control for Secure Data Sharing in Cloud Computing[J]. Concurrency and Computation: Practice and Experience,2021(3). (SCI, CCF C类) [12]Tonglai Liu, Jigang Wu, Long Chen, Yalan Wu, Yinan Li. Smart Contract-Based Long-Term Auction for Mobile Blockchain Computation Offloading[J]. IEEE Access, 2020, 8: 36029-36042. (JCR 1区) [13]Tonglai Liu, Mingguang Liu, Chengcheng Yang, Ancong Wu, Xiaodong Li, and Wenzhao Wei. Lightweight Model Improvement and Application for Rice Disease Classification[J]. Electronics, 14, no. 16: 3331. https://doi.org/10.3390/electronics14163331 [14]Longqin Xu, Hao Deng, Yingying Cao, Wenjun Liu, Guohuang He,Wenting Fan, Tangliang Wei, Liang Cao, Tonglai Liu*, Shuangyin Liu*.Bass Detection Model Based on Improved YOLOv5 in Circulating Water System[J]. PLOS ONE. 2023, 18(3): e0283671. (SCI 1区) [15]Dachun Feng, Bing Zhou, Qianyu Han, Longqin Xu, Jianjun Guo, Liang Cao, Lvhan Zhuang, Shuangyin Liu, Tonglai Liu*.A Novel Combined Model for Predicting Humidity in Sheep Housing Facilities[J]. Animals 2022, 12, 3300. (SCI 1区) [16]Yuqing Miao, Ronghai Luo, Lin Zhu, Tonglai Liu*, Wanzhen Zhang, Guoyong Cai, and Ming Zhou. Contextual Graph Attention Network for Aspect-Level Sentiment Classification[J]. Mathematics. 2022;10(14): 2473. ( SCI, JCR 2区) [17]Mingyuan Fan, Shuangyin Liu, Longqin Xu, Dachun Feng, Jianjun Guo, Liang Cao, Tonglai Liu*, and Hassan Shahbaz Gul*. Credible pigeon permissioned blockchain traceability platform integrated with IoT based on HACCP[J]. Scientific Reports, 2022, 12(1): 22363. (SCI 2区) [18]Wenjun Liu, Shuangying Liu, Shahbaz Gul Hassan, Yingying Cao,Longqin Xu, Dachan Feng, Liang Cao, Weijun Chen, Yaocong Chen, Jianjun Guo, Tonglai Liu*, Hang Zhang*. A novel hybrid model to predict dissolved oxygen for efficient water quality in intensive aquaculture[J]. IEEE Access, 2023, 11: 29162-29174. [19]Chengcheng Yang,Zhiyao liang, Tonglai Liu∗, Zeng Hu, Dashun Yan. MGMR-Net: Mamba-Guided Multimodal Reconstruction and Fusion Network for Sentiment Analysis with Incomplete Modalities[J].Electronics,2025.7 [20]Xie, Caijian, Mingguang Liu, Wanzhen Zhang, Yuting Zhang, Shahbaz Gul Hassan, Weijie Guo, Tonglai Liu*, Shuangyin Liu, and Xuekai Gao. RDT-YOLO: An Improved Lightweight Model for Fish Maw Authenticity Detection[J]. Electronics. 2025; 14(23):4588. [21]Moyixi Lei, Longqin Xu, Tonglai Liu, Shuangyin Liu*, Chuanheng Sun*. Blockchain-based traceability for food safety: potentials and challenges[J].Foods. 2022; 11(15):2262. https://doi.org/10.3390/foods11152262 ( SCI2 区) [22]Tieyuan Liu, Yi Chen, Hongjie Shen, Rupeng Zhou, Meng Zhang, Tonglai Liu*.A novel diabetic retinopathy detection approach based on deep symmetric convolutional neural network[J]. IEEE Access, 2021(9):160552-160558, 2021 (SCI 2区) [23]Pingan Jiang, Xuelin Zhou, Tonglai Liu*, Xiaohu Guo, Deying Ma, Cong Zhang, Yan Li, Shuangyin Liu. Prediction Dynamics in Cotton Aphid Using Unmanned Aerial Vehicle Multispectral Images and Vegetation Indices[J]. IEEE Access, 2023(11): 5908-5918, 2023. (SCI 2区) [24]Tonglai Liu, Yi Xu, Zikai Zhang, Jigang Wu. Long-term Auction for Inner-Dependent Task Offloading in Blockchain-Enabled Mobile Edge Computing[C]. The 40th Chinese Control Conference (CCC). IEEE, 2021: 1881-1886.. (EI) [25]Tonglai Liu, Jigang Wu, Jiaxing Li, Jingyi Li. Secure and Balanced Scheme for Non-Local Data Storage in Blockchain Network[C]//2019 IEEE 21st International Conference on High Performance Computing and Communications (HPCC). IEEE, 2019: 2424-2427. (EI) [26]Tonglai Liu, Jigang Wu, Xinpeng Zhang, Zhihao Peng, Jingyi Li. Blockchain-Based Access Control Schemes for Medical Image Analysis System[C]//International Symposium on Parallel Architectures, Algorithms and Programming. Springer, Singapore (PAAP), 2019: 357-367. (EI) [27]Liu Tonglai, Jiang Hua, Wen Jing. A binary classification method based on class space model[C]//2010 International Conference on Intelligent Computing and Integrated Systems. IEEE, 2010: 807-809. (EI) [28]Liu Tonglai, Jiang Hua, Zhang Wanzhen. Research on network content audit based on information fingerprint[C]//2009 3th International Conference on Genetic and Evolutionary Computing. IEEE, 2009: 185-187. (EI) [29]Daxi Qiu, Wanzhen Zhang, Shuangyin Liu, Tonglai Liu*. AI-Empowered College English Teaching in Agricultural Universities[J]. Journal of Higher Education Research. Vol.6 No. 2 issue, 2025. [30]刘同来,陈子昂,崔猛,庞惠元,刘双印,徐龙琴*.基于 MCB-Mamba-FECA 的水产养殖溶解氧长期预测模型[J].农业工程学报.2025,41(15):215-224.(EI源刊) [31]刘同来,章子凯,武继刚.面向医疗图像协同分析的系统模型及访问控制[J].计算机科学与探索,2022,16(08):1779-1791.(核心期刊) [32]刘同来,刘伟强.无线传感器网络中基于扇形的非匀均分簇路由协议[J].微电子学与计算机,2015,32(02):100-104. (核心期刊) [33]武继刚,刘同来*,李境一等.移动边缘计算中的区块链技术研究进展[J].计算机工程,2020,46(08):1-13. (核心期刊) [34]缪裕青,杨爽,刘同来*,张万桢,朱林,周明.基于跨模态门控机制和改进融合方法的多模态情感分析[J/OL].计算机应用研究,2023,40(07):2025-2030+2038. (核心期刊) [35]甘卓浩,缪裕青,刘同来*,张万桢,周明.基于跨模态交互Transformer的多模态方面级情感分析[J].计算机应用研究,2025,42(09):2707-2713.DOI:10.19734/j.issn.1001-3695.2024.11.0517. [36]黄俊光,缪裕青,刘同来*,张万桢,蔡国永.思维链推理的方面级情感分析模型[J/OL].小型微型计算机系统,1-12[2025-11-03].https://link.cnki.net/urlid/21.1106.TP.20250326.1736.005. [37]李尚往,缪裕青,刘同来*,等.基于超图学习与成对跨模态融合的多模态对话情绪识别[J/OL].计算机应用研究,1-10[2025-11-03].https://doi.org/10.19734/j.issn.1001-3695.2025.07.0233. [38]汤泽辉,缪裕青,刘同来*,等.基于BART的渐进式信息融合的情感对话生成[J/OL].计算机应用研究,1-9[2025-11-03].https://doi.org/10.19734/j.issn.1001-3695.2025.07.0240. [39]郑明洲,缪裕青,刘同来*,张万桢,蔡国永,模态缺失下基于提示学习的多模态情感分析[J].计算机应用研究.(已录用) |