色情论坛

[1] Shiwei Zhang, Changxin Gao, Feifei. Chen, Sihui Luo, Nong Sang*. Group Sparse-Based Mid-Level Representation for Action Recognition. IEEE Transactions on Systems, Man, and Cybernetics: Systems, 47(4): 660-672, 2017. （排序4/5，SCI）

[2] Sihui Luo, Yezhou Yang, Yanling Yin, Chengchao Shen, Ya Zhao, Mingli Song*. DeepSIC: Deep Semantic Image Compression, International Conference on Neural Information Processing, 2018. (排序1/6，EI)

[3] Sihui Luo, Xinchao Wang, Gongfan Fang, Yao Hu, Mingli Song*. Knowledge Amalgamation from Heterogeneous Networks by Common Feature Learning. International Joint Conferences on Artificial Intelligence (IJCAI), 2019. (排序1/5，CCF A类，EI)

[4] Sihui Luo, Wenwen Pan, Xinchao Wang, Mingli Song*. Collaboration by Competition: Self-coordinated Knowledge Amalgamation for Multi-talent Student Learning. European Conference on Computer Vision (ECCV), 2020. (排序1/4，EI)

[5] Sihui Luo*, Gongfan Fang, Mingli Song. Deep Semantic Image Compression via Cooperative Network Pruning. Journal of Visual Communication and Image Representation. 95(2023): 103897. (排序1/3，SCI)

[6] Yiling Gong, Sihui Luo*, Chong Wang, Yujie Zheng. Feature Differentiation Reconstruction Network for Weakly-Supervised Video Anomaly Detection. IEEE Signal Processing Letters, 30: 1462-1466, 2023. (排序2/4，通讯，SCI)

[7] Yinhui Jiang, Sihui Luo*, Lijun Guo, Rong Zhang. MCT-VHD: Multi-modal Contrastive Transformer for Video Highlight Detection. Journal of Visual Communication and Image Representation, 2024. (排序2/4，通讯，SCI)

[8] Ruijie Zhao, Pinyan Tang, Sihui Luo*. Improving Domain Generalization on Gaze Estimation via Branch-Out Auxiliary Regularization[J]. IEEE Signal Processing Letters. 2025, 32(11):276-280. (排序3/3，通讯，SCI)

[9] Yihui Jiang, Sihui Luo*, Lijun Guo, Rong Zhang. Multimodal Video Highlight Detection with Noise-Robust Learning[C]//International Joint Conference on Neural Networks(IJCNN), 2024. (排序2/4，通讯，SCI)

1. 面向含噪标签数据的深度神经网络鲁棒学习方法，，起止年限：2022-01-01 至 2024-12-31, 省基金, 主持

2. 不确定环境下小样本目标识别理论和方法, 联合基金项目，起止年限：2021-01-01 至 2024-12-31, 国自然基金，参与

3. 面向灵活可配的视觉深度模型重组理论与关键算法，面上项目，起止年限：2020年至2023年，国自然基金，参与

1. 蒋银辉, 罗思惠, 郭立君, 张荣. 一种噪声鲁棒的多模态视频高光检测学习方法[P].中国专利: CN202310850066.9, 2023-7-12.

2.宋明黎, 罗思惠, 方共凡. 基于知识重组的语义图像压缩方法[P]. 中国专利: CN201910980491.3, 2021-6-18.