Tongtong Yuan

Publication Activity (10 Years)

Years Active: 2016-2024
Publications (10 Years): 27

Top Topics

Image Content Analysis

Metric Learning

Semantic Representations

Top Venues

Neural Networks

Publications

Tongtong Yuan, Zulin Li, Bo Liu, Yinan Tang, Yujia Liu
ARPruning: An automatic channel pruning based on attention map ranking. Neural Networks 174 (2024)
Junsheng Mu, Michel Kadoch, Tongtong Yuan, Wenzhe Lv, Qiang Liu, Bohan Li
Explainable Federated Medical Image Analysis Through Causal Learning and Blockchain. IEEE J. Biomed. Health Informatics 28 (6) (2024)
Yinan Tang, Tongtong Yuan, Fang Cao, Li Wang, Zhenhua Guo, Yaqian Zhao, Rengang Li
Simulating LLM Training in CXL-Based Heterogeneous Computing Cluster. INFOCOM (Workshops) (2024)
Junsheng Mu, Qiang Liu, Ziwei Wang, Tongtong Yuan, Hongyu Sun, Peng Yu
Leveraging Blockchain Based Federated Learning for Trustworthy 6G IoMT Image Analysis. IEEE Wirel. Commun. 31 (4) (2024)
Tongtong Yuan, Xuange Zhang, Kun Liu, Bo Liu, Jian Jin, Zhenzhen Jiao
UCF-Crime Annotation: A Benchmark for Surveillance Video-and-Language Understanding. CoRR (2023)
Yinan Tang, Tongtong Yuan, Zhiyuan Xu, Weiyi Zhang, Jian Tang, Guoliang Xue, Yanzhi Wang
AI-Enabled Experience-Driven Networking: Vision, State-of-the-Art and Future Directions. IEEE Netw. 37 (3) (2023)
Jian Jin, Zhenzhen Jiao, Junsheng Mu, Wenzhe Lv, Yinan Tang, Tongtong Yuan
Decentralized Communication-assisted Sensing based on Federated Learning Framework for IIoT. ISACom@MobiCom (2023)
Qingzhu Zhang, Tongtong Yuan
Compound Label Learning for Affective Image Content Analysis. CICAI (1) (2022)
Chengxiang Yin, Jian Tang, Tongtong Yuan, Zhiyuan Xu, Yanzhi Wang
Bridging the Gap Between Semantic Segmentation and Instance Segmentation. IEEE Trans. Multim. 24 (2022)
Tongtong Yuan, Lingmei Dong, Bo Liu, Jialiang Huang, Chuangbai Xiao
Deep Metric Learning by Exploring Confusing Triplet Embeddings for COVID-19 Medical Images Diagnosis. Healthcare AI and COVID-19 Workshop (2022)
Bo Liu, Zhaoying Liu, Ting Zhang, Tongtong Yuan
Non-differentiable saddle points and sub-optimal local minima exist for deep ReLU networks. Neural Networks 144 (2021)
Peng Xu, Yongye Huang, Tongtong Yuan, Tao Xiang, Timothy M. Hospedales, Yi-Zhe Song, Liang Wang
On Learning Semantic Representations for Large-Scale Abstract Sketches. IEEE Trans. Circuits Syst. Video Technol. 31 (9) (2021)
Zhiyuan Xu, Dejun Yang, Jian Tang, Yinan Tang, Tongtong Yuan, Yanzhi Wang, Guoliang Xue
An Actor-Critic-Based Transfer Learning Framework for Experience-Driven Networking. IEEE/ACM Trans. Netw. 29 (1) (2021)
Yinan Tang, Tongtong Yuan, Bo Liu, Chuangbai Xiao
Effective *-flow schedule for optical circuit switching based data center networks: A comprehensive survey. Comput. Networks 197 (2021)
Peng Xu, Yongye Huang, Tongtong Yuan, Tao Xiang, Timothy M. Hospedales, Yi-Zhe Song, Liang Wang
On Learning Semantic Representations for Million-Scale Free-Hand Sketches. CoRR (2020)
Qian Li, Wenzhu Yang, Xiangyang Chen, Tongtong Yuan, Yuxia Wang
Temporal Segment Connection Network for Action Recognition. IEEE Access 8 (2020)
Tongtong Yuan, Weihong Deng, Jian Tang, Yinan Tang, Binghui Chen
Signal-to-Noise Ratio: A Robust Distance Metric for Deep Metric Learning. CoRR (2019)
Tongtong Yuan, Weihong Deng, Jiani Hu, Zhanfu An, Yinan Tang
Unsupervised adaptive hashing based on feature clustering. Neurocomputing 323 (2019)
Yinan Tang, Hongxiang Guo, Tongtong Yuan, Xiong Gao, Xiaobin Hong, Yan Li, Jifang Qiu, Yong Zuo, Jian Wu
Flow Splitter: A Deep Reinforcement Learning-Based Flow Scheduler for Hybrid Optical-Electrical Data Center Network. IEEE Access 7 (2019)
Tongtong Yuan, Weihong Deng, Jian Tang, Yinan Tang, Binghui Chen
Signal-To-Noise Ratio: A Robust Distance Metric for Deep Metric Learning. CVPR (2019)
Peng Xu, Yongye Huang, Tongtong Yuan, Kaiyue Pang, Yi-Zhe Song, Tao Xiang, Timothy M. Hospedales, Zhanyu Ma, Jun Guo
SketchMate: Deep Hashing for Million-Scale Human Sketch Retrieval. CVPR (2018)
Yinan Tang, Hongxiang Guo, Tongtong Yuan, Qi Wu, Xiang Li, Cen Wang, Xiong Gao, Jian Wu
OEHadoop: Accelerate Hadoop Applications by Co-Designing Hadoop With Data Center Network. IEEE Access 6 (2018)
Peng Xu, Yongye Huang, Tongtong Yuan, Kaiyue Pang, Yi-Zhe Song, Tao Xiang, Timothy M. Hospedales, Zhanyu Ma, Jun Guo
SketchMate: Deep Hashing for Million-Scale Human Sketch Retrieval. CoRR (2018)
Zhanfu An, Weihong Deng, Tongtong Yuan, Jiani Hu
Deep Transfer Network with 3D Morphable Models for Face Recognition. FG (2018)
Tongtong Yuan, Weihong Deng, Jiani Hu
Distortion Minimization Hashing. IEEE Access 5 (2017)
Tongtong Yuan, Weihong Deng, Jiani Hu
Supervised hashing with extreme learning machine. VCIP (2017)
Tongtong Yuan, Weihong Deng
Robust Supervised Hashing. CCPR (1) (2016)