姓名：宿通通

性别：男

职称：讲师、研究生导师

研究领域：CV领域 轻（羽）量级神经网络（知识蒸馏、模型剪枝、紧凑型结构等）；迁移学习；大数据建模和分析理论与技术；生物医学图像分析；机器学习的模型、算法及其应用。特别在面向大数据的数据挖掘、深度学习理论与技术、知识蒸馏等方向取得一定成果。

联系方式：sutt@nbjl.nankai.edu.cn

个人简介：

2024年博士毕业于南开大学计算机学院计算机应用技术专业。截止目前， 申请人在相关领域发表学术论文 11 篇，其中以第一作者或者通讯作者发表 SCI 一区检索国际期刊及会议论文 7 篇，相关研究发表在 IEEE TNNLS、 IEEE TCSVT、 NeurIPS 等高水平期刊与会议；同时作为主要研究人员参与国家自然科学基金面上项目、天津市自然科学青年基金等多个科研项目。

代表性论文：

[1] Su T, Yan C, Liu H, et al. Holistic prediction comparison for knowledge distillation[J]. Neurocomputing, 2026: 132754. (期刊论文) (本人标注：唯一第一作者)

[2] Su T, Liao Y, Zheng F. SDPGO: Effcient Self-Distillation Training Meets Proximal Gradient Optimization[C]//The Thirty-ninth Annual Conference on Neural Information Processing Systems. 2025. (会议论文) (本人标注：唯一第一作者)

[3] Tongtong Su, Jinsong Zhang, Zhaoyang Yu, Gang Wang, Xiaoguang Liu; STKD: Distilling knowledge from synchronous teaching for effcient model compression[J]. IEEE Transactions on Neural Networks and Learning Systems, 2022, 34(12): 10051-10064. (期刊论文) (本人标注：唯一第一作者)

[4] Tongtong Su, Qiyu Liang, Jinsong Zhang, Zhaoyang Yu, Ziyue Xu, Gang Wang, Xiaoguang Liu; Deep cross-layer collaborative learning network for online knowledge distillation[J]. IEEE Transactions on Circuits and Systems for Video Technology, 2022, 33(5): 2075-2087. (期刊论文) (本人标注：唯一第一作者)

[5] Tongtong Su, Jinsong Zhang, Ziyue Xu, Gang Wang, Xiaoguang Liu; Self-supervised learning with explorative knowledge distillation[C]//ICASSP 2023. IEEE, 2023: 1-5. (会议论文) (本人标注：唯一第一作者)

[6] Tongtong Su, Qiyu Liang, Jinsong Zhang, Zhaoyang Yu, Gang Wang, Xiaoguang Liu; Attentionbased feature interaction for effcient online knowledge distillation[C]//2021 IEEE ICDM. IEEE, 2021: 579-588. (会议论文) (本人标注：共同第一作者)

[7] Tongtong Su, Huazhi Sun, Chunmei Ma, Lifen Jiang, Tongtong Xu; HDL: Hierarchical deep learning model based human activity recognition using smartphone sensors[C]//2019 IJCNN. IEEE, 2019: 1-8. (会议论文) (本人标注：唯一第一作者)

[8] Yan Wang, Tongtong Su, Yusen Li, Jiuwen Cao, Gang Wang, Xiaoguang Liu; DDistill-SR: Reparameterized dynamic distillation network for lightweight image super-resolution[J]. IEEE Transactions on Multimedia, 2022, 25: 7222-7234. (期刊论文) (本人标注：其他作者)

[9] Zhaoyang Yu, Sinong Zhao, Tongtong Su, et al.; DeepSCJD: an online deep learning-based model for secure collaborative job dispatching in edge computing[C]//ICSOC. 2022: 481-497. (会议论文) (本人标注：其他作者)

[10] Zhaoyang Yu, Sinong Zhao, Tongtong Su, et al.; RADEAN: A Resource Allocation Model Based on Deep Reinforcement Learning and Generative Adversarial Networks[C]//MobileQuitous. 2023:257-277. (会议论文) (本人标注：其他作者)