Tongtong Yuan

Orcid: 0000-0002-8224-9891

According to our database1, Tongtong Yuan authored at least 21 papers between 2016 and 2023.

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Bibliography

2023
AI-Enabled Experience-Driven Networking: Vision, State-of-the-Art and Future Directions.
IEEE Netw., 2023

UCF-Crime Annotation: A Benchmark for Surveillance Video-and-Language Understanding.
CoRR, 2023

Decentralized Communication-assisted Sensing based on Federated Learning Framework for IIoT.
Proceedings of the 3rd ACM MobiCom Workshop on Integrated Sensing and Communications Systems, 2023

2022
Bridging the Gap Between Semantic Segmentation and Instance Segmentation.
IEEE Trans. Multim., 2022

Deep Metric Learning by Exploring Confusing Triplet Embeddings for COVID-19 Medical Images Diagnosis.
Proceedings of the 1st Workshop on Healthcare AI and COVID-19, 2022

Compound Label Learning for Affective Image Content Analysis.
Proceedings of the Artificial Intelligence - Second CAAI International Conference, 2022

2021
An Actor-Critic-Based Transfer Learning Framework for Experience-Driven Networking.
IEEE/ACM Trans. Netw., 2021

On Learning Semantic Representations for Large-Scale Abstract Sketches.
IEEE Trans. Circuits Syst. Video Technol., 2021

Non-differentiable saddle points and sub-optimal local minima exist for deep ReLU networks.
Neural Networks, 2021

Effective *-flow schedule for optical circuit switching based data center networks: A comprehensive survey.
Comput. Networks, 2021

2020
On Learning Semantic Representations for Million-Scale Free-Hand Sketches.
CoRR, 2020

Temporal Segment Connection Network for Action Recognition.
IEEE Access, 2020

2019
Unsupervised adaptive hashing based on feature clustering.
Neurocomputing, 2019

Flow Splitter: A Deep Reinforcement Learning-Based Flow Scheduler for Hybrid Optical-Electrical Data Center Network.
IEEE Access, 2019

Signal-To-Noise Ratio: A Robust Distance Metric for Deep Metric Learning.
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.
IEEE Access, 2018

Deep Transfer Network with 3D Morphable Models for Face Recognition.
Proceedings of the 13th IEEE International Conference on Automatic Face & Gesture Recognition, 2018

SketchMate: Deep Hashing for Million-Scale Human Sketch Retrieval.
Proceedings of the 2018 IEEE Conference on Computer Vision and Pattern Recognition, 2018

2017
Distortion Minimization Hashing.
IEEE Access, 2017

Supervised hashing with extreme learning machine.
Proceedings of the 2017 IEEE Visual Communications and Image Processing, 2017

2016
Robust Supervised Hashing.
Proceedings of the Pattern Recognition - 7th Chinese Conference, 2016


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