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Tingting Wu

Orcid: 0000-0003-3437-8899

Affiliations:
  • Harbin Engineering University, Harbin, China
  • Harbin Institute of Technology, Faculty of Computing, Research Center for Social Computing and Information Retrieval, Harbin, China
  • University of Science and Technology of China, Key Laboratory of Electromagnetic Space Information, Hefei, China


According to our database1, Tingting Wu authored at least 16 papers between 2014 and 2026.

Collaborative distances:
  • Dijkstra number2 of five.
  • Erdős number3 of four.

Timeline

Legend:

Book  In proceedings  Article  PhD thesis  Dataset  Other 

Links

Online presence:

On csauthors.net:

Bibliography

2026
Model-Heterogeneous Federated Learning With Bidirectional Knowledge Distillation.
[BibTeX]
[DOI]
Hao Zhang
,
Yaolin Zhu
,
Tingting Wu
,
Siyao Cheng
,
Jie Liu
IEEE Trans. Mob. Comput., January, 2026

Chain-of-Detection enables robust and efficient jailbreak defense.
[BibTeX]
[DOI]
Tingting Wu
,
Hao Zhang
Neural Networks, 2026

2024
Reasoning subevent relation over heterogeneous event graph.
[BibTeX]
[DOI]
Tingting Wu
,
Xiao Ding
,
Li Du
,
Bing Qin
,
Ting Liu
Knowl. Inf. Syst., September, 2024

CC-FedAvg: Computationally Customized Federated Averaging.
[BibTeX]
[DOI]
Hao Zhang
,
Tingting Wu
,
Siyao Cheng
,
Jie Liu
IEEE Internet Things J., February, 2024

DiscrimLoss: A Universal Loss for Hard Samples and Incorrect Samples Discrimination.
[BibTeX]
[DOI]
Tingting Wu
,
Xiao Ding
,
Hao Zhang
,
Jinglong Gao
,
Minji Tang
,
Li Du
,
Bing Qin
,
Ting Liu
IEEE Trans. Multim., 2024

Uncertainty-guided label correction with wavelet-transformed discriminative representation enhancement.
[BibTeX]
[DOI]
Tingting Wu
,
Xiao Ding
,
Hao Zhang
,
Minji Tang
,
Bing Qin
,
Ting Liu
Neural Networks, 2024

2023
FedCos: A Scene-Adaptive Enhancement for Federated Learning.
[BibTeX]
[DOI]
Hao Zhang
,
Tingting Wu
,
Siyao Cheng
,
Jie Liu
IEEE Internet Things J., March, 2023

Data-Augmentation-Based Federated Learning.
[BibTeX]
[DOI]
Hao Zhang
,
Qingying Hou
,
Tingting Wu
,
Siyao Cheng
,
Jie Liu
IEEE Internet Things J., 2023

Dynamic layer-wise sparsification for distributed deep learning.
[BibTeX]
[DOI]
Hao Zhang
,
Tingting Wu
,
Zhifeng Ma
,
Feng Li
,
Jie Liu
Future Gener. Comput. Syst., 2023

NoisywikiHow: A Benchmark for Learning with Real-world Noisy Labels in Natural Language Processing.
[BibTeX]
[DOI]
Tingting Wu
,
Xiao Ding
,
Minji Tang
,
Hao Zhang
,
Bing Qin
,
Ting Liu
Proceedings of the Findings of the Association for Computational Linguistics: ACL 2023, 2023

2022
CCFL: Computationally Customized Federated Learning.
[BibTeX]
[DOI]
Hao Zhang
,
Tingting Wu
,
Siyao Cheng
,
Jie Liu
CoRR, 2022

DiscrimLoss: A Universal Loss for Hard Samples and Incorrect Samples Discrimination.
[BibTeX]
[DOI]
Tingting Wu
,
Xiao Ding
,
Hao Zhang
,
Jinglong Gao
,
Li Du
,
Bing Qin
,
Ting Liu
CoRR, 2022

FedCos: A Scene-adaptive Federated Optimization Enhancement for Performance Improvement.
[BibTeX]
[DOI]
Hao Zhang
,
Tingting Wu
,
Siyao Cheng
,
Jie Liu
CoRR, 2022

Aperiodic Local SGD: Beyond Local SGD.
[BibTeX]
[DOI]
Hao Zhang
,
Tingting Wu
,
Siyao Cheng
,
Jie Liu
Proceedings of the 51st International Conference on Parallel Processing, 2022

STGN: an Implicit Regularization Method for Learning with Noisy Labels in Natural Language Processing.
[BibTeX]
[DOI]
Tingting Wu
,
Xiao Ding
,
Minji Tang
,
Hao Zhang
,
Bing Qin
,
Ting Liu
Proceedings of the 2022 Conference on Empirical Methods in Natural Language Processing, 2022

2014
Quadtree-based optimal path routing with the smallest routing table size.
[BibTeX]
[DOI]
Tingting Wu
,
Chi Zhang
,
Nenghai Yu
,
Miao Pan
Proceedings of the IEEE Global Communications Conference, 2014


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