Yongchao Liu

ORCID

Publication Activity (10 Years)

Years Active: 2007-2024
Publications (10 Years): 101

Top Venues

Publications

Yongjie Tian, Huiyan Zhang, Yongchao Liu, Ning Zhao, Kalidass Mathiyalagan
Event-triggered adaptive secure tracking control for nonlinear cyber-physical systems against unknown deception attacks. Math. Comput. Simul. 221 (2024)
Shengchao Zhao, Yongchao Liu
Distributed stochastic compositional optimization problems over directed networks. Comput. Optim. Appl. 87 (1) (2024)
Pengyu Qiu, Yuwen Pu, Yongchao Liu, Wenyan Liu, Yun Yue, Xiaowei Zhu, Lichun Li, Jinbao Li, Shouling Ji
Integer Is Enough: When Vertical Federated Learning Meets Rounding. AAAI (2024)
Ning Zhao, Dongke Zhao, Yongchao Liu
Resilient event-triggering adaptive neural network control for networked systems under mixed cyber attacks. Neural Networks 174 (2024)
Chengying Huan, Yongchao Liu, Heng Zhang, Shuaiwen Song, Santosh Pandey, Shiyang Chen, Xiangfei Fang, Yue Jin, Baptiste Lepers, Yanjun Wu, Hang Liu
: A Novel Temporal Graph Random Walk Engine with Hybrid Storage Architecture. ACM Trans. Archit. Code Optim. 21 (2) (2024)
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) (2024)
Junwen Xiao, Yongchao Liu, Yaxin An
Adaptive dynamic event-triggered fault tolerant control for uncertain strict-feedback nonlinear systems. Eur. J. Control 79 (2024)
Yongchao Liu, Guanjun Wang, Peng Liu
: G systems. Reliab. Eng. Syst. Saf. 241 (2024)
Pengyu Qiu, Yongchao Liu, Xintan Zeng
DiVerFed: Distribution-Aware Vertical Federated Learning for Missing Information. KSEM (3) (2024)
Xiaotang Wang, Yun Zhu, Haizhou Shi, Yongchao Liu, Chuntao Hong
UniGAP: A Universal and Adaptive Graph Upsampling Approach to Mitigate Over-Smoothing in Node Classification Tasks. CoRR (2024)
Yaxin An, Yongchao Liu
Observer-based dynamic event-triggered adaptive control for uncertain nonlinear strict-feedback systems. Syst. Control. Lett. 183 (2024)
Shengchao Zhao, Yongchao Liu
Asymptotic Properties of $\mathcal {S}$-$\mathcal {AB}$ Method With Diminishing Step-Size. IEEE Trans. Autom. Control. 69 (5) (2024)
Shengchao Zhao, Yongchao Liu
Confidence region for distributed stochastic optimization problem via stochastic gradient tracking method. Autom. 159 (2024)
Chengying Huan, Yongchao Liu, Heng Zhang, Hang Liu, Shiyang Chen, Shuaiwen Leon Song, Yanjun Wu
TeGraph+: Scalable Temporal Graph Processing Enabling Flexible Edge Modifications. IEEE Trans. Parallel Distributed Syst. 35 (8) (2024)
Yue Jin, Chengying Huan, Heng Zhang, Yongchao Liu, Shuaiwen Leon Song, Rui Zhao, Yao Zhang, Changhua He, Wenguang Chen
G-Sparse: Compiler-Driven Acceleration for Generalized Sparse Computation for Graph Neural Networks on Modern GPUs. PACT (2023)
Yun Yue, Jiadi Jiang, Zhiling Ye, Ning Gao, Yongchao Liu, Ke Zhang
Sharpness-Aware Minimization Revisited: Weighted Sharpness as a Regularization Term. KDD (2023)
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) (2023)
Yongchao Liu, Qingzhi Wang, Baozeng Fu
Adaptive Neural Network Asymptotic Tracking Control for Autonomous Surface Vehicles. ICPS (2023)
Tinghui Cao, Liansun Zeng, Yongchao Liu, Wu Ling
Research on Freight Volume Prediction of Express Transportation Based on BP Neural Network + Time Series. BDEIM (2023)
Yun Yue, Zhiling Ye, Jiadi Jiang, Yongchao Liu, Ke Zhang
AGD: an Auto-switchable Optimizer using Stepwise Gradient Difference for Preconditioning Matrix. CoRR (2023)
Yongchao Liu, Qidan Zhu, Xing Fan, Lipeng Wang
Neural network-based adaptive asymptotic tracking of nonstrict feedback nonlinear systems with state constraints. Int. J. Control 96 (2) (2023)
Uday Kumar Reddy Vengalam, Yongchao Liu, Tong Geng, Hui Wu, Michael C. Huang
Supporting Energy-Based Learning With An Ising Machine Substrate: A Case Study on RBM. CoRR (2023)
Yongchao Liu, Qidan Zhu, Xing Fan
Event-triggered adaptive fuzzy control for stochastic nonlinear time-delay systems. Fuzzy Sets Syst. 452 (2023)
Guibing Zhu, Yongchao Liu
Dynamic event-triggered adaptive neural control for MIMO nonlinear systems via a single parameter learning method. Inf. Sci. 635 (2023)
Yongchao Liu, Qidan Zhu
Event-triggered adaptive fuzzy asymptotic control design for uncertain stochastic nonlinear systems. Trans. Inst. Meas. Control 45 (11) (2023)
Lu Zhang, Lejie Li, Benjie Dong, Yanwei Ma, Yongchao Liu
Understanding the Trend of Internet of Things Data Prediction. ICMTEL (4) (2023)
Yongchao Liu, Bowen Zeng, Qidan Zhu, Lipeng Wang
Adaptive fuzzy asymptotic control design for MIMO nonlinear systems with state constraints. J. Control. Decis. 10 (4) (2023)
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) (2023)
Yuchen Zhou, Yanan Cao, Yongchao Liu, Yanmin Shang, Peng Zhang, Zheng Lin, Yun Yue, Baokun Wang, Xing Fu, Weiqiang Wang
Multi-Aspect Heterogeneous Graph Augmentation. WWW (2023)
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) (2023)
Uday Kumar Reddy Vengalam, Yongchao Liu, Tong Geng, Hui Wu, Michael C. Huang
Supporting Energy-based Learning with an Ising Machine substrate: a Case Study on RBM. MICRO (2023)
Yongchao Liu, Qidan Zhu
Event-Triggered Adaptive Neural Network Control for Stochastic Nonlinear Systems With State Constraints and Time-Varying Delays. IEEE Trans. Neural Networks Learn. Syst. 34 (4) (2023)
Uday Kumar Reddy Vengalam, Andrew Hahn, Yongchao Liu, Anshujit Sharma, Hui Wu, Michael C. Huang
Efficient LDPC Decoding using Physical Computation. CoRR (2023)
Yice Luo, Guannan Wang, Yongchao Liu, Jiaxin Yue, Weihong Cheng, Binjie Fei
FAF: A Risk Detection Framework on Industry-Scale Graphs. CIKM (2023)
Chengying Huan, Shuaiwen Leon Song, Santosh Pandey, Hang Liu, Yongchao Liu, Baptiste Lepers, Changhua He, Kang Chen, Jinlei Jiang, Yongwei Wu
TEA: A General-Purpose Temporal Graph Random Walk Engine. EuroSys (2023)
Guoxing Wen, Yongchao Liu
Tracking control based on adaptive Bernstein polynomial approximation for a class of unknown nonlinear dynamic systems. J. Frankl. Inst. 360 (7) (2023)
Yun Yue, Zhiling Ye, Jiadi Jiang, Yongchao Liu, Ke Zhang
AGD: an Auto-switchable Optimizer using Stepwise Gradient Difference for Preconditioning Matrix. NeurIPS (2023)
Yun Yue, Jiadi Jiang, Zhiling Ye, Ning Gao, Yongchao Liu, Ke Zhang
Sharpness-Aware Minimization Revisited: Weighted Sharpness as a Regularization Term. CoRR (2023)
Wenxiang Bai, Yongchao Liu, Wei Zhang, Lijuan Zhang
A Windowed Stochastic Learning Automaton Algorithm for Directional Neighbor Discovery. ICCT (2023)
Yongchao Liu, Qidan Zhu, Zixuan Liu
Event-based adaptive neural network asymptotic control design for nonstrict feedback nonlinear system with state constraints. Neural Comput. Appl. 34 (17) (2022)
Yongchao Liu, Qidan Zhu
Adaptive Fuzzy Finite-Time Control for Nonstrict-Feedback Nonlinear Systems. IEEE Trans. Cybern. 52 (10) (2022)
Yongchao Liu, Qidan Zhu
Adaptive neural network asymptotic control design for MIMO nonlinear systems based on event-triggered mechanism. Inf. Sci. 603 (2022)
Yongchao Liu, Qidan Zhu, Guo-Xing Wen
Adaptive Tracking Control for Perturbed Strict-Feedback Nonlinear Systems Based on Optimized Backstepping Technique. IEEE Trans. Neural Networks Learn. Syst. 33 (2) (2022)
Yongchao Liu, Qidan Zhu
Event-Triggered Adaptive Fuzzy Tracking Control for Uncertain Nonlinear Systems with Time-Delay and State Constraints. Circuits Syst. Signal Process. 41 (2) (2022)
Chengying Huan, Shuaiwen Leon Song, Yongchao Liu, Heng Zhang, Hang Liu, Charles He, Kang Chen, Jinlei Jiang, Yongwei Wu
T-GCN: A Sampling Based Streaming Graph Neural Network System with Hybrid Architecture. PACT (2022)
Yongchao Liu, Wuwenqing Yan, Shengchao Zhao
Confidence regions of two-stage stochastic linear complementarity problems. Int. Trans. Oper. Res. 29 (1) (2022)
Yongsheng He, Sen Li, Qian Zhou, Haoyu Wang, Yongchao Liu, Wei Wang, Xin Chen
Parameter Design and Stability Analysis of Virtual Synchronous Generator for Integrated Energy System. ICITEE (2022)
Heng Zhang, Lingda Li, Hang Liu, Donglin Zhuang, Rui Liu, Chengying Huan, Shuang Song, Dingwen Tao, Yongchao Liu, Charles He, Yanjun Wu, Shuaiwen Leon Song
Bring orders into uncertainty: enabling efficient uncertain graph processing via novel path sampling on multi-accelerator systems. ICS (2022)
Yongchao Liu, Qidan Zhu
Adaptive fuzzy asymptotic control for switched nonlinear systems with state constraints. Int. J. Syst. Sci. 53 (5) (2022)
Shengchao Zhao, Xing-Min Chen, Yongchao Liu
Asymptotic properties of dual averaging algorithm for constrained distributed stochastic optimization. Syst. Control. Lett. 165 (2022)
Chengying Huan, Hang Liu, Mengxing Liu, Yongchao Liu, Changhua He, Kang Chen, Jinlei Jiang, Yongwei Wu, Shuaiwen Leon Song
TeGraph: A Novel General-Purpose Temporal Graph Computing Engine. ICDE (2022)
Lin Chen, Yongchao Liu, Xinmin Yang, Jin Zhang
Stochastic Approximation Methods for the Two-Stage Stochastic Linear Complementarity Problem. SIAM J. Optim. 32 (3) (2022)
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) (2022)
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)
Yongchao Liu, Qidan Zhu
Adaptive neural network asymptotic tracking control for nonstrict feedback stochastic nonlinear systems. Neural Networks 143 (2021)
Yang Gao, Peng Zhang, Zhao Li, Chuan Zhou, Yongchao Liu, Yue Hu
Heterogeneous Graph Neural Architecture Search. ICDM (2021)
Yongchao Liu, Qidan Zhu
Adaptive fuzzy event-triggered control for nonstrict-feedback switched stochastic nonlinear systems with state constraints. Int. J. Syst. Sci. 52 (14) (2021)
Qinkai Zheng, Houyi Li, Peng Zhang, Zhixiong Yang, Guowei Zhang, Xintan Zeng, Yongchao Liu
GIPA: General Information Propagation Algorithm for Graph Learning. CoRR (2021)
Yongchao Liu, Qidan Zhu
Neural network-based asymptotic tracking control design for stochastic nonlinear systems. Int. J. Syst. Sci. 52 (14) (2021)
Yongchao Liu, Qidan Zhu, Ning Zhao, Lipeng Wang
Fuzzy approximation-based adaptive finite-time control for nonstrict feedback nonlinear systems with state constraints. Inf. Sci. 548 (2021)
Xiaowei Zhu, Zhisong Fu, Zhenxuan Pan, Jin Jiang, Chuntao Hong, Yongchao Liu, Yang Fang, Wenguang Chen, Changhua He
Taking the Pulse of Financial Activities with Online Graph Processing. ACM SIGOPS Oper. Syst. Rev. 55 (1) (2021)
Houyi Li, Zhihong Chen, Chenliang Li, Rong Xiao, Hongbo Deng, Peng Zhang, Yongchao Liu, Haihong Tang
Path-based Deep Network for Candidate Item Matching in Recommenders. SIGIR (2021)
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 (2021)
Houyi Li, Zhihong Chen, Chenliang Li, Rong Xiao, Hongbo Deng, Peng Zhang, Yongchao Liu, Haihong Tang
Path-based Deep Network for Candidate Item Matching in Recommenders. CoRR (2021)
Yongchao Liu, Qidan Zhu
Adaptive Neural Network Asymptotic Tracking for Nonstrict-Feedback Switched Nonlinear Systems. SPAC (2021)
Yun Yue, Yongchao Liu, Suo Tong, Minghao Li, Zhen Zhang, Chunyang Wen, Huanjun Bao, Lihong Gu, Jinjie Gu, Yixiang Mu
Adaptive Optimizers with Sparse Group Lasso for Neural Networks in CTR Prediction. CoRR (2021)
Yongchao Liu, Qidan Zhu, Ning Zhao, Lipeng Wang
Adaptive fuzzy backstepping control for nonstrict feedback nonlinear systems with time-varying state constraints and backlash-like hysteresis. Inf. Sci. 574 (2021)
Yun Yue, Yongchao Liu, Suo Tong, Minghao Li, Zhen Zhang, Chunyang Wen, Huanjun Bao, Lihong Gu, Jinjie Gu, Yixiang Mu
Adaptive Optimizers with Sparse Group Lasso for Neural Networks in CTR Prediction. ECML/PKDD (3) (2021)
Yongchao Liu, Qidan Zhu, Ning Zhao
Event-triggered adaptive fuzzy control for switched nonlinear systems with state constraints. Inf. Sci. 562 (2021)
Qidan Zhu, Yongchao Liu, Guo-Xing Wen
Adaptive neural network control for time-varying state constrained nonlinear stochastic systems with input saturation. Inf. Sci. 527 (2020)
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) (2020)
Yongchao Liu, Qidan Zhu
Adaptive neural network finite-time tracking control of full state constrained pure feedback stochastic nonlinear systems. J. Frankl. Inst. 357 (11) (2020)
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 (2020)
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)
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) (2019)
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 (2019)
Yongchao Liu, Alois Pichler, Huifu Xu
Discrete Approximation and Quantification in Distributionally Robust Optimization. Math. Oper. Res. 44 (1) (2019)
Tony Pan, Patrick Flick, Chirag Jain, Yongchao Liu, Srinivas Aluru
Kmerind: A Flexible Parallel Library for K-mer Indexing of Biological Sequences on Distributed Memory Systems. IEEE ACM Trans. Comput. Biol. Bioinform. 16 (4) (2019)
Weirong Zhou, Yunjie Zhang, Yongchao Liu
Bilateral Linear Operator for Period Noise Image De-noising. CSAE (2018)
Yongchao Liu, Jialu Du, Xin Hu
Synchronisation control for ships in underway replenishment based on dynamic surface control. Int. J. Autom. Control. 12 (2) (2018)
Huifu Xu, Yongchao Liu, Hailin Sun
Distributionally robust optimization with matrix moment constraints: Lagrange duality and cutting plane methods. Math. Program. 169 (2) (2018)
Yongchao Liu, Bertil Schmidt
LightSpMV: Faster CUDA-Compatible Sparse Matrix-Vector Multiplication Using Compressed Sparse Rows. J. Signal Process. Syst. 90 (1) (2018)
Yongchao Liu, Xiaoming Yuan, Shangzhi Zeng, Jin Zhang
Partial Error Bound Conditions and the Linear Convergence Rate of the Alternating Direction Method of Multipliers. SIAM J. Numer. Anal. 56 (4) (2018)
Yongchao Liu, Huifu Xu, Shu-Jung Sunny Yang, Jin Zhang
Distributionally robust equilibrium for continuous games: Nash and Stackelberg models. Eur. J. Oper. Res. 265 (2) (2018)
Yongchao Liu, Tony Pan, Oded Green, Srinivas Aluru
Parallelized Kendall's Tau Coefficient Computation via SIMD Vectorized Sorting On Many-Integrated-Core Processors. CoRR (2017)
Yongchao Liu, Xiaoming Yuan, Shangzhi Zeng, Jin Zhang
Primal-dual hybrid gradient method for distributionally robust optimization problems. Oper. Res. Lett. 45 (6) (2017)
Haidong Lan, Weiguo Liu, Yongchao Liu, Bertil Schmidt
SWhybrid: A Hybrid-Parallel Framework for Large-Scale Protein Sequence Database Search. IPDPS (2017)
Zhunga Liu, Yongchao Liu, Kuang Zhou, You He
Pattern classification based on the combination of the selected sources of evidence. FUSION (2017)
Sharma V. Thankachan, Sriram P. Chockalingam, Yongchao Liu, Ambujam Krishnan, Srinivas Aluru
A greedy alignment-free distance estimator for phylogenetic inference. BMC Bioinform. 18 (8) (2017)
Yuandong Chan, Kai Xu, Haidong Lan, Weiguo Liu, Yongchao Liu, Bertil Schmidt
PUNAS: A Parallel Ungapped-Alignment-Featured Seed Verification Algorithm for Next-Generation Sequencing Read Alignment. IPDPS (2017)
Yongchao Liu, Rudabeh Meskarian, Huifu Xu
Distributionally Robust Reward-Risk Ratio Optimization with Moment Constraints. SIAM J. Optim. 27 (2) (2017)
Yongchao Liu, Fabian Ripp, Rene Koeppel, Hanno Schmidt, Sören Lukas Hellmann, Mathias Weber, Christopher Felix Krombholz, Bertil Schmidt, Thomas Hankeln
AFS: identification and quantification of species composition by metagenomic sequencing. Bioinform. 33 (9) (2017)
Tony Pan, Patrick Flick, Chirag Jain, Yongchao Liu, Srinivas Aluru
Kmerind: A Flexible Parallel Library for K-mer Indexing of Biological Sequences on Distributed Memory Systems. BCB (2016)
Jorge González-Domínguez, Yongchao Liu, Juan Touriño, Bertil Schmidt
MSAProbs-MPI: parallel multiple sequence aligner for distributed-memory systems. Bioinform. 32 (24) (2016)
Sharma V. Thankachan, Sriram P. Chockalingam, Yongchao Liu, Alberto Apostolico, Srinivas Aluru
ALFRED: A Practical Method for Alignment-Free Distance Computation. J. Comput. Biol. 23 (6) (2016)
Yongchao Liu, Martin Loewer, Srinivas Aluru, Bertil Schmidt
SNVSniffer: an integrated caller for germline and somatic single-nucleotide and indel mutations. BMC Syst. Biol. 10 (S-2) (2016)
Yongchao Liu, Thomas Hankeln, Bertil Schmidt
Parallel and Space-Efficient Construction of Burrows-Wheeler Transform and Suffix Array for Big Genome Data. IEEE ACM Trans. Comput. Biol. Bioinform. 13 (3) (2016)
Yongchao Liu, Tony Pan, Srinivas Aluru
Parallel Pairwise Correlation Computation on Intel Xeon Phi Clusters. SBAC-PAD (2016)
Tuan Tu Tran, Yongchao Liu, Bertil Schmidt
Bit-parallel approximate pattern matching: Kepler GPU versus Xeon Phi. Parallel Comput. 54 (2016)
Yongchao Liu, Srinivas Aluru
LightScan: Faster Scan Primitive on CUDA Compatible Manycore Processors. CoRR (2016)

Yongchao Liu.css-eqlu8i{font-size:small;padding-left:4px;}

Publication Activity (10 Years)

Top Topics

Top Venues

Yongchao Liu