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ORCIDTongtong Yuan
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2020 – today
- 2024
[j15]Tongtong Yuan, Zulin Li, Bo Liu
, Yinan Tang, Yujia Liu:
ARPruning: An automatic channel pruning based on attention map ranking. Neural Networks 174: 106220 (2024)- [j14]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): 3206-3218 (2024) - [j13]Zhenhua Guo, Yinan Tang, Jidong Zhai, Tongtong Yuan, Jian Jin, Li Wang, Yaqian Zhao, Rengang Li:
A Survey on Performance Modeling and Prediction for Distributed DNN Training. IEEE Trans. Parallel Distributed Syst. 35(12): 2463-2478 (2024) - [j12]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): 192-198 (2024) - [c10]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. CVPR 2024: 22052-22061 - [c9]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: 1-6 - 2023
- [j11]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): 60-66 (2023) - [c8]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: 37-42 - [i4]Tongtong Yuan, Xuange Zhang, Kun Liu, Bo Liu, Jian Jin, Zhenzhen Jiao:
UCF-Crime Annotation: A Benchmark for Surveillance Video-and-Language Understanding. CoRR abs/2309.13925 (2023) - 2022
- [j10]Chengxiang Yin, Jian Tang, Tongtong Yuan, Zhiyuan Xu, Yanzhi Wang:
Bridging the Gap Between Semantic Segmentation and Instance Segmentation. IEEE Trans. Multim. 24: 4183-4196 (2022) - [c7]Qingzhu Zhang, Tongtong Yuan:
Compound Label Learning for Affective Image Content Analysis. CICAI (1) 2022: 380-391 - [c6]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: 1-10 - 2021
- [j9]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: 108321 (2021) - [j8]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: 75-89 (2021) - [j7]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): 3366-3379 (2021) - [j6]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): 360-371 (2021) - 2020
- [j5]Qian Li, Wenzhu Yang, Xiangyang Chen, Tongtong Yuan, Yuxia Wang:
Temporal Segment Connection Network for Action Recognition. IEEE Access 8: 179118-179127 (2020) - [i3]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 abs/2007.04101 (2020)
2010 – 2019
- 2019
- [j4]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: 129955-129965 (2019) - [j3]Tongtong Yuan, Weihong Deng, Jiani Hu, Zhanfu An, Yinan Tang:
Unsupervised adaptive hashing based on feature clustering. Neurocomputing 323: 373-382 (2019) - [c5]Tongtong Yuan, Weihong Deng, Jian Tang, Yinan Tang, Binghui Chen:
Signal-To-Noise Ratio: A Robust Distance Metric for Deep Metric Learning. CVPR 2019: 4815-4824 - [i2]Tongtong Yuan, Weihong Deng, Jian Tang, Yinan Tang, Binghui Chen:
Signal-to-Noise Ratio: A Robust Distance Metric for Deep Metric Learning. CoRR abs/1904.02616 (2019) - 2018
- [j2]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: 25849-25860 (2018) - [c4]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: 8090-8098 - [c3]Zhanfu An, Weihong Deng, Tongtong Yuan, Jiani Hu:
Deep Transfer Network with 3D Morphable Models for Face Recognition. FG 2018: 416-422 - [i1]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 abs/1804.01401 (2018) - 2017
- [j1]Tongtong Yuan, Weihong Deng, Jiani Hu:
Distortion Minimization Hashing. IEEE Access 5: 23425-23435 (2017) - [c2]Tongtong Yuan, Weihong Deng, Jiani Hu:
Supervised hashing with extreme learning machine. VCIP 2017: 1-4 - 2016
- [c1]Tongtong Yuan, Weihong Deng:
Robust Supervised Hashing. CCPR (1) 2016: 574-585
Coauthor Index
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