Selected papers：

[46] Liu X, Sun G（通讯作者）, et al. MPCL: Multimodal Prompt Learning for Continual Relation Extraction with Type-Aware Inter-Modality Alignment [J]. Information Fusion, 104025, 2025.（SCI已检索，影响因子：15.5，中科院一区TOP）

[45] Zhu S, Jin J, Yao W, Sun G（通讯作者）, et al. A Class-aware Calibration and Balanced Consistency Weighting Framework for Federated Semi-Supervised Learning [J]. Engineering Applications of Artificial Intelligence, 164, 113213, 2026.（SCI已检索，影响因子：8，中科院一区TOP）

[44] Gao C, Sun G（通讯作者）, Liu X, et al. Fooling Machine's Eyes: Unicode Modifier Letter Evasion Attack[J]. Proceedings of Annual Computer Security Applications Conference（ACSAC'25）.（CCF推荐B类会议）

[43] Liu X, Sun G（通讯作者）, Jin J, et al. CITR: Context-driven implicit triple reasoning for joint multimodal entity-relation extraction[J]. Information Processing and Management, 2025.（SCI已检索，影响因子：7.4，中科院一区TOP）

[42] Sun G, Kong W, Yu L, et al. A novel infrared and visible image fusion method via adaptive offsets enhanced hybrid attention. Infrared Physics & Technology, 2025,106269. （SCI已检索，影响因子：3.4，中科院二区）

[41] Liu X, Sun G（通讯作者）, Lang F, et al. HiTIMI: Hierarchical type-driven inter-modality interaction framework for multimodal named entity recognition. Neurocomputing, 2025, 132131.（SCI已检索，影响因子：7，中科院二区）

[40] Wang X, Sun G（通讯作者）, Liu X. FGLIoT: IoT device identification via federated graph learning and spatio-temporal feature fusion[J]. Internet of Things, 2025: 101785.（SCI已检索，影响因子：7.6，中科院二区）

[39] Liu X, Lang F, Gao C, Sun G（通讯作者）. ProMNER: Prompt-Guided Unimodal and Multimodal Named Entity Recognition in a Generative Way [J]. IEEE Transactions on Computational Social Systems, 2025.（SCI已检索，影响因子：5.1，JCR一区）

[38] Yang Y, Zhu S, Sun G（通讯作者）, et al. AHFL: A resource-adaptive approach for data-heterogeneity-aware federated learning[J]. IEEE Internet of Things Journal, 2025.（SCI已检索，影响因子：9.6，中科院一区TOP）

[37] Yao W, Sun G, Zhu S, et al. FedRDA: Representation Deviation Alignment in Heterogeneous Federated Learning[J]. IEEE Transactions on Industrial Informatics, 2025.（SCI已检索，影响因子：10.7，中科院一区TOP）

[36] Zhu S, Yang Y, Sun G. FedLDR: Federated optimization with label distribution-aware representations[J]. Neurocomputing, 2025: 130802.（SCI已检索，影响因子：7，中科院二区）

[35] Zhou K, Sun G（通讯作者）, Wang J, et al. MH-FFNet: Leveraging mid-high frequency information for robust fine-grained face forgery detection[J]. Expert Systems with Applications, 2025: 127108.（SCI已检索，影响因子：7.5，中科院一区TOP）

[34] Tan T, Sun G（通讯作者）. Graph-based relational reasoning network for video question answering[J]. Machine Vision and Applications, 2025, 36(1): 1-13.（SCI已检索，影响因子：2.4，JCR 二区，CCF C类推荐期刊）

[33] Zhu S, Wang Y, Sun G（通讯作者）. Federated semi-supervised learning based on truncated Gaussian aggregation[J]. The Journal of Supercomputing, 2025, 81(1): 1-22.（SCI已检索，影响因子：2.5，JCR 二区，CCF C类推荐期刊）

[32] Liang L, Sun G（通讯作者）, Li T, et al. TLNet: Temporal Span Localization Network With Collaborative Graph Reasoning for Video Question Answering[J]. IEEE Transactions on Emerging Topics in Computational Intelligence, 2024.（SCI已检索，影响因子：5.3，JCR 一区）

[31] Zhu S, Ma X, Sun G（通讯作者）. Two-stage sampling with predicted distribution changes in federated semi-supervised learning[J]. Knowledge-Based Systems, 2024, 295: 111822.（SCI已检索，影响因子：7.2，中科院一区TOP）

[30] Sun G, Ji B, Liang L, et al. CeCR: Cross-entropy contrastive replay for online class-incremental continual learning[J]. Neural Networks, 2024, 173: 106163.（SCI已检索，影响因子：7.9，中科院一区TOP）

[29] 朱素霞,顾玢珂,孙广路（通讯作者）.基于相似度加速的自适应聚类联邦学习[J].通信学报,2024,45(03):197-207.（EI已检索，影响因子：2.2）

[28] 朱素霞,王金印,孙广路（通讯作者）.基于感知相似性的多目标优化隐蔽图像后门攻击[J].计算机研究与发展,2024,61(05):1182-1192.（EI已检索，影响因子：2.4）

[27] Zhu S, Liu T, Sun G Sun G（通讯作者）. Layer-wise personalized federated learning with hypernetwork[J]. Neural Processing Letters, 2023, 55(9): 12273-12287.（SCI检索，影响因子：2.6，JCR 三区，CCF C类推荐期刊）

[26] Li X, Sun G（通讯作者）, Liu X. ESPVR: entity spans position visual regions for multimodal named entity recognition[C]//Findings of the Association for Computational Linguistics: EMNLP 2023. 2023: 7785-7794. （CCF推荐B类会议）

[25] Li T, Sun G（通讯作者）, Yu L, et al. HRBUST-LLPED: a benchmark dataset for wearable low-light pedestrian detection[J]. Micromachines, 2023, 14(12): 2164.（SCI已检索，影响因子：3.0，JCR二区）

[24] Sun G, Li C, Ma Y, et al. End-to-end tcp congestion control as a classification problem[J]. IEEE Transactions on Reliability, 2022, 72(1): 384-394.（SCI已检索，影响因子：5.0，JCR 一区）

[23] 朱素霞,王蕾,孙广路（通讯作者）.满足本地差分隐私的分类变换扰动机制[J].计算机研究与发展,2022,59(02):430-439.（EI已检索，影响因子：2.4）

[22] Li A, Chen J, Chen D, Sun G. Tensor-based reliable multiview similarity learning for robust spectral clustering on uncertain data[J]. IEEE Transactions on Reliability, 2021, 70(3): 916-930.（SCI已检索，影响因子：5.0，JCR一区）

[21] 孙广路,吴猛,邱景,等.针对长视频问答的深度记忆融合模型[J].哈尔滨理工大学学报,2021,26(01):1-8+172.DOI:10.15938/j.jhust.2021.01.001.（影响因子：1.2）

[20] 朱素霞, 刘抒伦, 孙广路. 基于相对熵和K-means的形状相似差分隐私轨迹保护机制[J].通信学报,2021,42(02):113-123.（EI已检索，影响因子：2.2）

[19] Sun G, Liang L, Li T, et al. Video question answering: a survey of models and datasets[J]. Mobile Networks and Applications, 2021: 1-34.（SCI已检索，影响因子：2.3，JCR二区，CCF C类推荐期刊）

[18] 韩明明,孙广路,朱素霞.自适应概念漂移问题的增量集成分类算法[J].计算机科学与探索,2020,14(07):1200-1210.（影响因子：2.5）

[17] Zhu S, Chen Z, Sun G. Tuning lock-based multicore program based on sliding windows to tolerate data race. Journal of Supercomputing 2019, 75(12): 7872-7894.（SCI已检索，影响因子：2.4，JCR二区，CCF C类推荐期刊）

[16] 罗智勇, 杨旭, 孙广路, 等. 基于马尔可夫的有限自动机入侵容忍系统模型[J]. Journal on Communication/Tongxin Xuebao, 2019, 40(10).（EI已检索，影响因子：2.2）

[15] Sun G, Li J, Dai J, et al. Feature selection for IoT based on maximal information coefficient[J]. Future Generation Computer Systems, 2018, 89: 606-616.（SCI已检索，影响因子：7.5，中科院一区TOP）

[14] Song Y, Hu J, Chen D, Sun G. A resilience approach to state estimation for discrete neural networks subject to multiple missing measurements and mixed time-delays[J]. Neurocomputing, 2018, 272: 74-83.（SCI已检索，影响因子：5.7，中科院一区TOP）

[13] Sun G, Chen T, Su Y, et al. Internet traffic classification based on incremental support vector machines[J]. Mobile Networks and Applications, 2018, 23: 789-796.（SCI已检索，影响因子：2.3，JCR二区，CCF C类推荐期刊）

[12] Sun G, Liang L, Chen T, et al. Network traffic classification based on transfer learning[J]. Computers & electrical engineering, 2018, 69: 920-927. （SCI已检索，影响因子：4.0，JCR一区）

[11] Tian Chunwei, Zhang Qi, Sun Guanglu, et al. FFT Consolidated Sparse and Collaborative Representation for Image classification [J]. Arabian Journal for Science and Engineering, 2018, 43(2): 741-758.（SCI已检索，影响因子：2.6，JCR二区）

[10] 孙广路, 宋智超, 刘金来, 朱素霞, 何勇军. 基于最大信息系数和近似马尔科夫毯的特征选择方法. 自动化学报, 2017, 43(5): 795-805. （EI已检索，影响因子：2.8，2021年度领跑者5000中国精品科技期刊顶尖学术论文）

[9] Li A, Chen D, Lin K, Sun Guanglu. Hyperspectral Image Denoising with Composite Regularization Models [J]. Journal of Sensors, 2016, Artical 6586032, pp:1-10.（SCI已检索，影响因子：1.4，JCR三区）

[8] Li A, Chen D, Lin K, Sun G. Nonlocal joint regularizations framework with application to image denoising[J]. Circuits, Systems, and Signal Processing, 2016, 35: 2932-2942.（SCI已检索，影响因子：1.8，JCR二区）

[7] He Yongjun, Sun Guanglu, Han Jiqing. Optimization of learned dictionary for sparse coding in speech processing[J]. Neurocomputing, 2016, 173: 471-482.（SCI已检索，影响因子：5.5，中科院一区TOP）

[6] He Y, Chen D, Sun G, et al. Dictionary evaluation and optimization for sparse coding based speech processing[J]. Information Sciences, 2015, 310: 77-96.（SCI已检索，影响因子：6.7，中科院一区TOP）

[5] He Yongjun, Sun Guanglu, Han Jiqing. Spectrum enhancement with sparse coding for robust speech recognition[J]. Digital Signal Processing, 2015, 43: 59-70.（SCI已检索，影响因子：3.3，JCR二区）

[4] 孙广路, 齐浩亮. 基于在线顺序逻辑回归的垃圾邮件过滤. 清华大学学报, 2013,53(5): 734-740.（EI已检索，影响因子：5.2）

[3] 孙广路, 郎非, 薛一波. 基于条件随机域和语义类的中文组块分析方法, 哈尔滨工业大学学报, 2011.43(7): 135-139. （EI已检索，影响因子：1.9）

[2] Sun Guanglu, Xue Y, Dong Y, et al. A Novel Hybrid Method for Effectively Classifying Encrypted Traffic [C]. Proceedings of IEEE Globecom 2010, December 7-9, Miami, USA. （CCF推荐C类会议）

[1] 孙广路, 王晓龙, 刘秉权, 关毅. 基于词聚类特征的统计中文组块分析模型. 电子学报, 2008, (12): 2450-2454.（EI已检索，影响因子：1.2）