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Yongchao Liu
This is just a disambiguation page, and is not intended to be the bibliography of an actual person. The links to all actual bibliographies of persons of the same or a similar name can be found below. Any publication listed on this page has not been assigned to an actual author yet. If you know the true author of one of the publications listed below, you are welcome to contact us.
Person information
Other persons with the same name
- Yongchao Liu 0001
— Dalian University of Technology, Dalian, China - Yongchao Liu 0002
— Qingdao University, Qingdao, China - Yongchao Liu 0003
— University of Rochester, NY, USA - Yongchao Liu 0004
— Ant Group, Hangzhou, China - Yongchao Liu 0005
— Hunan Institute of Traffic Engineering, Hengyang, China - Yongchao Liu 0006
— Ningbo University, Ningbo, China - Yongchao Liu 0007
— Southeast University, Nanjing, China - Yongchao Liu 0008
— State Grid Chongqing Economic and Technological Research Institute Co. Ltd., China
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2020 – today
- 2025
[j22]Zixiang Zhao, Liang Zhang, Shuyi Yang, Ning Zhao, Yongchao Liu:
Dual-triggered scheme for adaptive neural control of MIMO nonlinear switched systems against sensor and actuator attacks. Commun. Nonlinear Sci. Numer. Simul. 147: 108811 (2025)
[j21]Liumeng Chen, Yongchao Liu, Jialin Li, Chao Ying, Peng Tian, Wenfei Kuang, Qiyu Huang, Tian Zheng:
Divergent dynamics of surface water patterns and structures in Europe's coastal-zone basins. Ecol. Informatics 87: 103089 (2025)
[j20]Yufan Wang, Huiyan Zhang, Yongchao Liu, Ning Zhao:
Event-triggered fuzzy intermittent control for nonlinear DDPS with unknown spatiotemporal disturbances. J. Frankl. Inst. 362(18): 108121 (2025)
[j19]Chen Wu
, Guibing Zhu
, Yongchao Liu, Feng Li:
Self-triggered adaptive neural control for USVs with sensor measurement sensitivity under deception attacks. J. Field Robotics 42(1): 153-168 (2025)
[j18]Yaxin An, Yongchao Liu:
Observer-based self-triggered adaptive decentralized control for uncertain interconnected nonlinear systems. Math. Comput. Simul. 231: 19-31 (2025)
[j17]Yongchao Liu:
Application of fusing Bézier curves and 3D models in VR stereo vision. Multim. Syst. 31(3): 207 (2025)
[j16]Shengchao Zhao, Yongchao Liu:
Numerical methods for distributed stochastic compositional optimization problems with aggregative structure. Optim. Methods Softw. 40(1): 192-223 (2025)
[j15]Junhao Qin
, Ziyi Zou, Liu Liu, Yongchao Liu:
Piecewise affine decision rules for contextual chance-constrained stochastic programming. Oper. Res. Lett. 61: 107296 (2025)
[i14]Runlin Lei, Jiarui Ji, Haipeng Ding, Lu Yi, Zhewei Wei, Yongchao Liu, Chuntao Hong:
Exploring the Potential of Large Language Models as Predictors in Dynamic Text-Attributed Graphs. CoRR abs/2503.03258 (2025)
[i13]Xiabao Wu, Yongchao Liu, Wei Qin, Chuntao Hong:
Distributed Graph Neural Network Inference With Just-In-Time Compilation For Industry-Scale Graphs. CoRR abs/2503.06208 (2025)
[i12]Yue Jin, Yongchao Liu, Chuntao Hong:
GraphGen+: Advancing Distributed Subgraph Generation and Graph Learning On Industrial Graphs. CoRR abs/2503.06212 (2025)
[i11]Jie Peng, Jiarui Ji, Runlin Lei, Zhewei Wei, Yongchao Liu, Chuntao Hong:
GDGB: A Benchmark for Generative Dynamic Text-Attributed Graph Learning. CoRR abs/2507.03267 (2025)
[i10]Yuwei Hu, Xinyi Huang, Zhewei Wei, Yongchao Liu, Chuntao Hong:
Rethinking and Benchmarking Large Language Models for Graph Reasoning. CoRR abs/2509.24260 (2025)
[i9]Runlin Lei, Lu Yi, Mingguo He, Pengyu Qiu, Zhewei Wei, Yongchao Liu, Chuntao Hong:
Robustness in Text-Attributed Graph Learning: Insights, Trade-offs, and New Defenses. CoRR abs/2510.17185 (2025)- 2024
[j14]Shengchao Zhao, Yongchao Liu:
Confidence region for distributed stochastic optimization problem via stochastic gradient tracking method. Autom. 159: 111352 (2024)
[j13]Junwen Xiao
, Yongchao Liu, Yaxin An:
Adaptive dynamic event-triggered fault tolerant control for uncertain strict-feedback nonlinear systems. Eur. J. Control 79: 101096 (2024)
[j12]Baozeng Fu, Weiwei Che
, Qingzhi Wang
, Yongchao Liu, Haisheng Yu:
Improved sliding-mode control for a class of disturbed systems based on a disturbance observer. J. Frankl. Inst. 361(6): 106699 (2024)
[i8]Yuwei Hu, Runlin Lei, Xinyi Huang, Zhewei Wei, Yongchao Liu:
Scalable and Accurate Graph Reasoning with LLM-based Multi-Agents. CoRR abs/2410.05130 (2024)
[i7]Boci Peng, Yongchao Liu, Xiaohe Bo, Sheng Tian, Baokun Wang, Chuntao Hong, Yan Zhang:
Subgraph Retrieval Enhanced by Graph-Text Alignment for Commonsense Question Answering. CoRR abs/2411.06866 (2024)- 2023
[j11]Chengkun Jia, Yongchao Liu, Yaling Chen:
Face morphing attack detection based on high-frequency features and progressive enhancement learning. Frontiers Neurorobotics 17 (2023)
[j10]Yongchao Liu, Ziping Zhao:
New media interaction in art design based on deep learning binocular stereo vision. Int. J. Comput. Intell. Stud. 12(3/4): 238-254 (2023)
[j9]Yongchao Liu, Tao Zhang, Wenfang Li, Tingting Cheng, Yaping Zhang:
Towards swarm optimization techniques for power communication systems and smart grid environments. J. High Speed Networks 29(3): 237-249 (2023)
[j8]Haitao Zhang, Peng Tian
, Jie Zhong, Yongchao Liu, Jialin Li:
Mapping Photovoltaic Panels in Coastal China Using Sentinel-1 and Sentinel-2 Images and Google Earth Engine. Remote. Sens. 15(15): 3712 (2023)
[c9]Wenxiang Bai, Yongchao Liu, Wei Zhang, Lijuan Zhang:
A Windowed Stochastic Learning Automaton Algorithm for Directional Neighbor Discovery. ICCT 2023: 875-879
[c8]Lu Zhang, Lejie Li, Benjie Dong, Yanwei Ma, Yongchao Liu:
Understanding the Trend of Internet of Things Data Prediction. ICMTEL (4) 2023: 308-318
[c7]Yongchao Liu, Qingzhi Wang, Baozeng Fu:
Adaptive Neural Network Asymptotic Tracking Control for Autonomous Surface Vehicles. ICPS 2023: 1-5
[c6]Yun Yue, Zhiling Ye, Jiadi Jiang, Yongchao Liu, Ke Zhang:
AGD: an Auto-switchable Optimizer using Stepwise Gradient Difference for Preconditioning Matrix. NeurIPS 2023
[i6]Yun Yue, Jiadi Jiang, Zhiling Ye, Ning Gao, Yongchao Liu, Ke Zhang:
Sharpness-Aware Minimization Revisited: Weighted Sharpness as a Regularization Term. CoRR abs/2305.15817 (2023)
[i5]Yun Yue, Zhiling Ye, Jiadi Jiang, Yongchao Liu, Ke Zhang:
AGD: an Auto-switchable Optimizer using Stepwise Gradient Difference for Preconditioning Matrix. CoRR abs/2312.01658 (2023)- 2022
[j7]Qing-dao-er-ji Ren, Yuan Li, Shi Bao
, Yongchao Liu, Xiu-hong Chen:
Research on Mongolian-Chinese Translation Model Based on Transformer with Soft Context Data Augmentation Technique. IEICE Trans. Fundam. Electron. Commun. Comput. Sci. 105-A(5): 871-876 (2022)
[j6]Peng Tian
, Yongchao Liu, Jialin Li, Ruiliang Pu
, Luodan Cao, Haitao Zhang, Shunyi Ai, Yunze Yang:
Mapping Coastal Aquaculture Ponds of China Using Sentinel SAR Images in 2020 and Google Earth Engine. Remote. Sens. 14(21): 5372 (2022)- 2021
[c5]Tianchu Guo, Hui Zhang, ByungIn Yoo, Yongchao Liu, Youngjun Kwak, Jae-Joon Han:
Order Regularization on Ordinal Loss for Head Pose, Age and Gaze Estimation. AAAI 2021: 1496-1504
[i4]Houyi Li, Yongchao Liu, Yongyong Li, Bin Huang, Peng Zhang, Guowei Zhang, Xintan Zeng, Kefeng Deng, Wenguang Chen, Changhua He:
GraphTheta: A Distributed Graph Neural Network Learning System With Flexible Training Strategy. CoRR abs/2104.10569 (2021)
[i3]Qinkai Zheng, Houyi Li, Peng Zhang, Zhixiong Yang, Guowei Zhang, Xintan Zeng, Yongchao Liu:
GIPA: General Information Propagation Algorithm for Graph Learning. CoRR abs/2105.06035 (2021)- 2020
[j5]Chao Sun, Jialin Li, Luodan Cao, Yongchao Liu, Song Jin, Bingxue Zhao:
Evaluation of Vegetation Index-Based Curve Fitting Models for Accurate Classification of Salt Marsh Vegetation Using Sentinel-2 Time-Series. Sensors 20(19): 5551 (2020)
[i2]Yongchao Liu, Yue Jin, Yong Chen, Teng Teng, Hang Ou, Rui Zhao, Yao Zhang:
Woodpecker-DL: Accelerating Deep Neural Networks via Hardware-Aware Multifaceted Optimizations. CoRR abs/2008.04567 (2020)
2010 – 2019
- 2019
[j4]Bingxue Zhao, Yongxue Liu
, Wenxuan Xu
, Yongchao Liu, Jiaqi Sun, Lei Wang:
Morphological Characteristics of Tidal Creeks in the Central Coastal Region of Jiangsu, China, Using LiDAR. Remote. Sens. 11(20): 2426 (2019)
[c4]Tianchu Guo, Yongchao Liu, Hui Zhang, Xiabing Liu, Youngjun Kwak, ByungIn Yoo, Jae-Joon Han, Changkyu Choi:
A Generalized and Robust Method Towards Practical Gaze Estimation on Smart Phone. ICCV Workshops 2019: 1131-1139
[i1]Tianchu Guo, Yongchao Liu, Hui Zhang, Xiabing Liu, Youngjun Kwak, ByungIn Yoo, Jae-Joon Han, Changkyu Choi:
A Generalized and Robust Method Towards Practical Gaze Estimation on Smart Phone. CoRR abs/1910.07331 (2019)- 2018
[j3]Yongchao Liu, Jialu Du, Xin Hu:
Synchronisation control for ships in underway replenishment based on dynamic surface control. Int. J. Autom. Control. 12(2): 220-236 (2018)
[c3]Weirong Zhou, Yunjie Zhang, Yongchao Liu:
Bilateral Linear Operator for Period Noise Image De-noising. CSAE 2018: 105:1-105:5- 2017
[c2]Zhunga Liu, Yongchao Liu, Kuang Zhou, You He:
Pattern classification based on the combination of the selected sources of evidence. FUSION 2017: 1-8- 2014
[j2]Guoqiang Li, Peifeng Niu, Huaibao Wang, Yongchao Liu:
Least Square Fast Learning Network for modeling the combustion efficiency of a 300WM coal-fired boiler. Neural Networks 51: 57-66 (2014)
[c1]Yongchao Liu, Yusuke Sakumoto, Chisa Takano, Masaki Aida:
Parameter Design for Efficient Link Utilization in Chaos-Based Transmission Rate Control. CANDAR 2014: 300-303- 2012
[b1]Yongchao Liu:
Design and implementation of parallel bioinformatics algorithms on heterogeneous computing architectures. Nanyang Technological University, Singapore, 2012
[j1]Yaqiang Wang
, Zhonghua Yu, Yongguang Jiang, Yongchao Liu, Li Chen, Yiguang Liu:
A framework and its empirical study of automatic diagnosis of traditional Chinese medicine utilizing raw free-text clinical records. J. Biomed. Informatics 45(2): 210-223 (2012)
Coauthor Index

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last updated on 2025-12-04 01:44 CET by the dblp team
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