基本信息

博士，计算机学院，讲师，硕士研究生导师。2020年毕业于北京邮电大学获博士学位，2018-2019年在美国雪城大学联合培养，2015年毕业于北京邮电大学获学士学位。

研究方向

研究兴趣包括多模态大模型、AI4Science、模型压缩等。

科研项目

（1）国家自然科学基金青年项目，2025.01-2027.12，在研，负责人。

（2）国企委托项目，工业数据集，在研，负责人。

（3）中国博士后科学基金面上项目，结题，负责人。

（4）朝阳区博士后科研经费资助项目，结题，负责人。

代表性成果

近年来，以第一作者/通讯作者发表学术论文10余篇，包括CCF A类会议CVPR和中科院一区期刊IEEE TCSVT、IEEE JBHI、NN等。代表作如下：

[1] Tongtong Yuan; Xuange Zhang; Kun Liu; Bo Liu; Chen Chen; Jian Jin; Zhenzhen Jiao; Towards Surveillance Video-and-Language Understanding: New Dataset, Baselines, and Challenges, IEEE Conference on Computer Vision and Pattern Recognition 2024, Seattle WA, USA, 2024 (CCF-A 会议论文)

[2] Tongtong Yuan; Xuange Zhang; Bo Liu; Kun Liu, Jian Jin; Zhenzhen Jiao. Surveillance Video-and-Language Understanding: from Small to Large Multimodal Models[J]. IEEE Transactions on Circuits and Systems for Video Technology, 2024（中科院一区期刊论文）

[3] Tongtong Yuan ; Zulin Li; Bo Liu; Yinan Tang; Yujia Liu ; ARPruning: An automatic channel pruning based on attention map ranking, Neural Networks, 2024 (中科院一区期刊论文)

[4] Tongtong Yuan; Weihong Deng; Jian Tang; Yinan Tang; Binghui Chen ; Signal-to-Noise Ratio:A Robust Distance Metric for Deep Metric Learning, IEEE Computer Vision and Pattern Recognition,Long Beach, California, America, 2019 (CCF-A 会议论文)

[5] Tongtong Yuan ; Weihong Deng; Jiani Hu; Zhanfu An; Yinan Tang ; Unsupervised adaptive hashing based on feature clustering, Neurocomputing, 2019.1月, 323: 373-382 (中科院二区期刊论文)

[6] Junsheng Mu, Michel Kadoch, Tongtong Yuan*, et al. Explainable federated medical image analysis through causal learning and blockchain. IEEE Journal of Biomedical and Health Informatics, 2024. (中科院一区期刊论文 )

[7] Peng Xu, Yongye Huang,Tongtong Yuan, et al. Sketchmate: Deep hashing for million-scale human sketch retrieval[C]//Proceedings of the IEEE conference on computer vision and pattern recognition. 2018: 8090-8098. (CCF-A 会议论文)

[8] Chengxiang Yin, Jian Tang,Tongtong Yuan, et al. Bridging the gap between semantic segmentation and instance segmentation[J]. IEEE Transactions on Multimedia, 2021, 24: 4183-4196. (中科院一区期刊论文)

[9] Peng Xu, Yongye Huang,Tongtong Yuan, et al. On learning semantic representations for large-scale abstract sketches[J]. IEEE Transactions on Circuits and Systems for Video Technology, 2020, 31(9): 3366-3379. (中科院一区期刊论文 )

[10] Jian Jin, Zhenzhen Jiao, Junsheng Mu, Wenzhe Lv, Yinan Tang, Tongtong Yuan*. Decentralized Communication-assisted Sensing based on Federated Learning Framework for IIoT[C]//Proceedings of the 3rd ACM MobiCom Workshop on Integrated Sensing and Communications Systems. 2023: 37-42. (CCF-A 会议论文)

[11] Zhenhua Guo, Yinan Tang, Jidong Zhai, Tongtong Yuan, et al. A Survey on Performance Modeling and Prediction for Distributed DNN Training[J]. IEEE Transactions on Parallel and Distributed Systems, 2024 (CCF-A 期刊论文）

招生寄语

热忱欢迎各地的优秀学生报考本组的学术型/专业型硕士，也欢迎对科研创新有兴趣的优秀本科生加入，让我们一同在人工智能的舞台上释放创新活力。