Tongtong Yuan

According to our database, Tongtong Yuan authored at least 27 papers between 2016 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of three.

2024

A Survey on Performance Modeling and Prediction for Distributed DNN Training.

Zhenhua Guo, Yinan Tang, Jidong Zhai, Tongtong Yuan, Jian Jin, Li Wang, Yaqian Zhao, Rengang Li

IEEE Trans. Parallel Distributed Syst., December, 2024

Leveraging Blockchain Based Federated Learning for Trustworthy 6G IoMT Image Analysis.

Junsheng Mu, Qiang Liu, Ziwei Wang, Tongtong Yuan, Hongyu Sun, Peng Yu

IEEE Wirel. Commun., August, 2024

Explainable Federated Medical Image Analysis Through Causal Learning and Blockchain.

Junsheng Mu, Michel Kadoch, Tongtong Yuan, Wenzhe Lv, Qiang Liu, Bohan Li

IEEE J. Biomed. Health Informatics, June, 2024

ARPruning: An automatic channel pruning based on attention map ranking.

Tongtong Yuan, Zulin Li, Bo Liu, Yinan Tang, Yujia Liu

Neural Networks, 2024

Simulating LLM Training in CXL-Based Heterogeneous Computing Cluster.

Yinan Tang, Tongtong Yuan, Fang Cao, Li Wang, Zhenhua Guo, Yaqian Zhao, Rengang Li

Proceedings of the IEEE INFOCOM 2024, 2024

Towards Surveillance Video-and-Language Understanding: New Dataset, Baselines, and Challenges.

Tongtong Yuan, Xuange Zhang, Kun Liu, Bo Liu, Chen Chen, Jian Jin, Zhenzhen Jiao

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2024

2023

AI-Enabled Experience-Driven Networking: Vision, State-of-the-Art and Future Directions.

Yinan Tang, Tongtong Yuan, Zhiyuan Xu, Weiyi Zhang, Jian Tang, Guoliang Xue, Yanzhi Wang

IEEE Netw., 2023

UCF-Crime Annotation: A Benchmark for Surveillance Video-and-Language Understanding.

Tongtong Yuan, Xuange Zhang, Kun Liu, Bo Liu, Jian Jin, Zhenzhen Jiao

CoRR, 2023

Decentralized Communication-assisted Sensing based on Federated Learning Framework for IIoT.

Jian Jin, Zhenzhen Jiao, Junsheng Mu, Wenzhe Lv, Yinan Tang, Tongtong Yuan

Proceedings of the 3rd ACM MobiCom Workshop on Integrated Sensing and Communications Systems, 2023

2022

Bridging the Gap Between Semantic Segmentation and Instance Segmentation.

Chengxiang Yin, Jian Tang, Tongtong Yuan, Zhiyuan Xu, Yanzhi Wang

IEEE Trans. Multim., 2022

Deep Metric Learning by Exploring Confusing Triplet Embeddings for COVID-19 Medical Images Diagnosis.

Tongtong Yuan, Lingmei Dong, Bo Liu, Jialiang Huang, Chuangbai Xiao

Proceedings of the 1st Workshop on Healthcare AI and COVID-19, 2022

Compound Label Learning for Affective Image Content Analysis.

Qingzhu Zhang, Tongtong Yuan

Proceedings of the Artificial Intelligence - Second CAAI International Conference, 2022

2021

An Actor-Critic-Based Transfer Learning Framework for Experience-Driven Networking.

Zhiyuan Xu, Dejun Yang, Jian Tang, Yinan Tang, Tongtong Yuan, Yanzhi Wang, Guoliang Xue

IEEE/ACM Trans. Netw., 2021

On Learning Semantic Representations for Large-Scale Abstract Sketches.

Peng Xu, Yongye Huang, Tongtong Yuan, Tao Xiang, Timothy M. Hospedales, Yi-Zhe Song, Liang Wang

IEEE Trans. Circuits Syst. Video Technol., 2021

Non-differentiable saddle points and sub-optimal local minima exist for deep ReLU networks.

Bo Liu, Zhaoying Liu, Ting Zhang, Tongtong Yuan

Neural Networks, 2021

Effective *-flow schedule for optical circuit switching based data center networks: A comprehensive survey.

Yinan Tang, Tongtong Yuan, Bo Liu, Chuangbai Xiao

Comput. Networks, 2021

2020

On Learning Semantic Representations for Million-Scale Free-Hand Sketches.

Peng Xu, Yongye Huang, Tongtong Yuan, Tao Xiang, Timothy M. Hospedales, Yi-Zhe Song, Liang Wang

CoRR, 2020

Temporal Segment Connection Network for Action Recognition.

Qian Li, Wenzhu Yang, Xiangyang Chen, Tongtong Yuan, Yuxia Wang

IEEE Access, 2020

2019

Unsupervised adaptive hashing based on feature clustering.

Tongtong Yuan, Weihong Deng, Jiani Hu, Zhanfu An, Yinan Tang

Neurocomputing, 2019

Flow Splitter: A Deep Reinforcement Learning-Based Flow Scheduler for Hybrid Optical-Electrical Data Center Network.

Yinan Tang, Hongxiang Guo, Tongtong Yuan, Xiong Gao, Xiaobin Hong, Yan Li, Jifang Qiu, Yong Zuo, Jian Wu

IEEE Access, 2019

Signal-To-Noise Ratio: A Robust Distance Metric for Deep Metric Learning.

Tongtong Yuan, Weihong Deng, Jian Tang, Yinan Tang, Binghui Chen

Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2019

2018

OEHadoop: Accelerate Hadoop Applications by Co-Designing Hadoop With Data Center Network.

Yinan Tang, Hongxiang Guo, Tongtong Yuan, Qi Wu, Xiang Li, Cen Wang, Xiong Gao, Jian Wu

IEEE Access, 2018

Deep Transfer Network with 3D Morphable Models for Face Recognition.

Zhanfu An, Weihong Deng, Tongtong Yuan, Jiani Hu

Proceedings of the 13th IEEE International Conference on Automatic Face & Gesture Recognition, 2018

SketchMate: Deep Hashing for Million-Scale Human Sketch Retrieval.

Peng Xu, Yongye Huang, Tongtong Yuan, Kaiyue Pang, Yi-Zhe Song, Tao Xiang, Timothy M. Hospedales, Zhanyu Ma, Jun Guo

Proceedings of the 2018 IEEE Conference on Computer Vision and Pattern Recognition, 2018

2017

Distortion Minimization Hashing.

Tongtong Yuan, Weihong Deng, Jiani Hu

IEEE Access, 2017

Supervised hashing with extreme learning machine.

Tongtong Yuan, Weihong Deng, Jiani Hu

Proceedings of the 2017 IEEE Visual Communications and Image Processing, 2017

2016

Robust Supervised Hashing.

Tongtong Yuan, Weihong Deng

Proceedings of the Pattern Recognition - 7th Chinese Conference, 2016