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Ting Shu 0001
Person information
- affiliation: Shenzhen University, Shenzhen, China
Other persons with the same name
- Ting Shu — disambiguation page
- Ting Shu 0002
— Zhejiang Sci-Tech University, Hangzhou, China - Ting Shu 0003
— Shanghai Jiao Tong University, Shanghai, China - Ting Shu 0004
— National University of Defense Technology, Changsha, China
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2020 – today
- 2025
[j15]Yuji Cao
, Huan Zhao
, Yuheng Cheng
, Ting Shu
, Yue Chen
, Guolong Liu, Gaoqi Liang
, Junhua Zhao
, Jinyue Yan
, Yun Li
:
Survey on Large Language Model-Enhanced Reinforcement Learning: Concept, Taxonomy, and Methods. IEEE Trans. Neural Networks Learn. Syst. 36(6): 9737-9757 (2025)
[j14]Shuyi Wang
, Huan Zhao
, Ting Shu
, Zibin Pan, Gaoqi Liang, Junhua Zhao
:
Power Smoothing Control for Wind-Storage Integrated Systems With Hierarchical Safe Reinforcement Learning and Curriculum Learning. IEEE Trans. Smart Grid 16(6): 4606-4619 (2025)
[c4]Shengchao Chen
, Ting Shu
:
Restyled, Tuning, and Alignment: Taming VLMs for Federated Non-IID Medical Image Analysis. MICCAI (5) 2025: 530-540- 2024
[j13]Xiangrui Meng, Huan Zhao, Ting Shu
, Junhua Zhao, Qilin Wan:
Machine learning-based spatial downscaling and bias-correction framework for high-resolution temperature forecasting. Appl. Intell. 54(17-18): 8399-8414 (2024)
[j12]Shengchao Chen
, Ting Shu
, Huan Zhao
, Jiahao Wang, Sufen Ren, Lina Yang:
Free lunch for federated remote sensing target fine-grained classification: A parameter-efficient framework. Knowl. Based Syst. 294: 111694 (2024)
[i6]Shengchao Chen, Ting Shu, Huan Zhao
, Jiahao Wang, Sufen Ren, Lina Yang:
Free Lunch for Federated Remote Sensing Target Fine-Grained Classification: A Parameter-Efficient Framework. CoRR abs/2401.01493 (2024)
[i5]Xiang Fei, Huan Zhao, Xiyuan Zhou, Junhua Zhao, Ting Shu, Fushuan Wen
:
Power System Fault Diagnosis with Quantum Computing and Efficient Gate Decomposition. CoRR abs/2401.09800 (2024)
[i4]Yuji Cao, Huan Zhao, Yuheng Cheng, Ting Shu, Guolong Liu, Gaoqi Liang, Junhua Zhao, Yun Li:
Survey on Large Language Model-Enhanced Reinforcement Learning: Concept, Taxonomy, and Methods. CoRR abs/2404.00282 (2024)- 2023
[j11]Shengchao Chen
, Ting Shu
, Huan Zhao
, Yuan Yan Tang:
MASK-CNN-Transformer for real-time multi-label weather recognition. Knowl. Based Syst. 278: 110881 (2023)
[j10]Shengchao Chen
, Ting Shu
, Huan Zhao
, Guo Zhong
, Xunlai Chen
:
TempEE: Temporal-Spatial Parallel Transformer for Radar Echo Extrapolation Beyond Autoregression. IEEE Trans. Geosci. Remote. Sens. 61: 1-14 (2023)
[i3]Shengchao Chen, Ting Shu, Huan Zhao
, Guo Zhong, Xunlai Chen:
TempEE: Temporal-Spatial Parallel Transformer for Radar Echo Extrapolation Beyond Auto-Regression. CoRR abs/2304.14131 (2023)
[i2]Shengchao Chen, Ting Shu, Huan Zhao
, Yuan Yan Tang:
MASK-CNN-Transformer For Real-Time Multi-Label Weather Recognition. CoRR abs/2304.14857 (2023)- 2022
[j9]Guo Zhong
, Ting Shu, Guoheng Huang
, Xueming Yan
:
Multi-view spectral clustering by simultaneous consensus graph learning and discretization. Knowl. Based Syst. 235: 107632 (2022)
[j8]Shengchao Chen
, Ting Shu, Huan Zhao
, Qilin Wan, Jincan Huang, Cailing Li:
Dynamic Multiscale Fusion Generative Adversarial Network for Radar Image Extrapolation. IEEE Trans. Geosci. Remote. Sens. 60: 1-11 (2022)- 2020
[j7]Shi-Xun Lin
, Guo Zhong, Ting Shu:
Simultaneously learning feature-wise weights and local structures for multi-view subspace clustering. Knowl. Based Syst. 205: 106280 (2020)
[j6]Ting Shu
, Bob Zhang
, Yuan Yan Tang:
Sparse Supervised Representation-Based Classifier for Uncontrolled and Imbalanced Classification. IEEE Trans. Neural Networks Learn. Syst. 31(8): 2847-2856 (2020)
[i1]Shi-Xun Lin, Guo Zhong, Ting Shu:
Joint Featurewise Weighting and Lobal Structure Learning for Multi-view Subspace Clustering. CoRR abs/2007.12829 (2020)
2010 – 2019
- 2019
[j5]Ting Shu
, Bob Zhang
, Yuan Yan Tang:
Multi-View Classification via a Fast and Effective Multi-View Nearest-Subspace Classifier. IEEE Access 7: 49669-49679 (2019)- 2018
[j4]Ting Shu, Bob Zhang
, Yuan Yan Tang:
An improved noninvasive method to detect Diabetes Mellitus using the Probabilistic Collaborative Representation based Classifier. Inf. Sci. 467: 477-488 (2018)- 2017
[j3]Ting Shu, Bob Zhang
, Yuan Yan Tang:
An extensive analysis of various texture feature extractors to detect Diabetes Mellitus using facial specific regions. Comput. Biol. Medicine 83: 69-83 (2017)
[j2]Ting Shu, Bob Zhang
, Yuan Yan Tang:
Novel Noninvasive Brain Disease Detection System Using a Facial Image Sensor. Sensors 17(12): 2843 (2017)- 2015
[j1]Ting Shu
, Bob Zhang
:
Non-invasive Health Status Detection System Using Gabor Filters Based on Facial Block Texture Features. J. Medical Syst. 39(4): 41 (2015)
[c3]Ting Shu
, Bob Zhang
, Yuan Yan Tang:
Simplified and Improved Patch Ordering for Diabetes Mellitus detection. CYBCONF 2015: 371-376
[c2]Lina Yang, Yuan Yan Tang, Yulong Wang, Huiwu Luo, Jianjia Pan, Haoliang Yuan, Xianwei Zheng, Chunli Li, Ting Shu:
Similarity analysis based on sparse representation for protein sequence comparison. CYBCONF 2015: 382-387- 2014
[c1]Ting Shu
, Bob Zhang
:
Diabetes Mellitus Detection Based on Facial Block Texture Features Using the Gabor Filter. CSE 2014: 1-6
Coauthor Index

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last updated on 2026-01-18 02:06 CET by the dblp team
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