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Yongchao Liu
This is just a disambiguation page, and is not intended to be the bibliography of an actual person. 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.
2020 – today
- 2025
- [j92]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) - [j91]Chen Wu
, Guibing Zhu
Self-triggered adaptive neural control for USVs with sensor measurement sensitivity under deception attacks. J. Field Robotics 42(1): 153-168 (2025) - [j90]Yaxin An, Yongchao Liu:
Observer-based self-triggered adaptive decentralized control for uncertain interconnected nonlinear systems. Math. Comput. Simul. 231: 19-31 (2025) - [j89]Di Lun, Huiyan Zhang
Improved event-based fault detection filter for networked fuzzy systems under DoS attacks. Signal Process. 227: 109699 (2025) - [j88]Daohui Zeng
Adaptive Output Feedback Control of Underactuated Marine Surface Vehicles Under Input Saturation. IEEE Trans. Intell. Transp. Syst. 26(1): 1101-1112 (2025) - 2024
- [j87]Yongchao Liu
Divergent dynamics of coastal wetlands in the world's major river deltas during 1990-2019. Int. J. Appl. Earth Obs. Geoinformation 134: 104218 (2024) - [j86]Shengchao Zhao, Yongchao Liu:
Confidence region for distributed stochastic optimization problem via stochastic gradient tracking method. Autom. 159: 111352 (2024) - [j85]Shengchao Zhao, Yongchao Liu
Distributed stochastic compositional optimization problems over directed networks. Comput. Optim. Appl. 87(1): 249-288 (2024) - [j84]Chengkun Jia, Min Long, Yongchao Liu
Enhanced face morphing attack detection using error-level analysis and efficient selective kernel network. Comput. Secur. 137: 103640 (2024) - [j83]Junwen Xiao
Adaptive dynamic event-triggered fault tolerant control for uncertain strict-feedback nonlinear systems. Eur. J. Control 79: 101096 (2024) - [j82]Baozeng Fu, Weiwei Che
Improved sliding-mode control for a class of disturbed systems based on a disturbance observer. J. Frankl. Inst. 361(6): 106699 (2024) - [j81]Yongjie Tian
Event-triggered adaptive secure tracking control for nonlinear cyber-physical systems against unknown deception attacks. Math. Comput. Simul. 221: 79-93 (2024) - [j80]Yongchao Liu, Bowen Zeng, Haiyu Wang:
Dynamic event-triggered adaptive control for state-constrained strict-feedback nonlinear systems with guaranteed feasibility conditions. Neural Comput. Appl. 36(28): 17689-17697 (2024) - [j79]Ning Zhao, Dongke Zhao, Yongchao Liu:
Resilient event-triggering adaptive neural network control for networked systems under mixed cyber attacks. Neural Networks 174: 106249 (2024) - [j78]Yongchao Liu
A condition-based maintenance policy with non-periodic inspection for k-out-of-n: G systems. Reliab. Eng. Syst. Saf. 241: 109640 (2024) - [j77]Yaxin An, Yongchao Liu
Observer-based dynamic event-triggered adaptive control for uncertain nonlinear strict-feedback systems. Syst. Control. Lett. 183: 105700 (2024) - [j76]Shengchao Zhao
Asymptotic Properties of $\mathcal {S}$-$\mathcal {AB}$ Method With Diminishing Step-Size. IEEE Trans. Autom. Control. 69(5): 3222-3229 (2024) - [j75]Chengying Huan
TEA+: A Novel Temporal Graph Random Walk Engine with Hybrid Storage Architecture. ACM Trans. Archit. Code Optim. 21(2): 37 (2024) - [j74]Daohui Zeng
Practical Prescribed-Time Trajectory Tracking Control for Marine Surface Vehicles. IEEE Trans. Circuits Syst. II Express Briefs 71(12): 4899-4903 (2024) - [j73]Chengying Huan
TeGraph+: Scalable Temporal Graph Processing Enabling Flexible Edge Modifications. IEEE Trans. Parallel Distributed Syst. 35(8): 1469-1487 (2024) - [c45]Pengyu Qiu, Yuwen Pu, Yongchao Liu
Integer Is Enough: When Vertical Federated Learning Meets Rounding. AAAI 2024: 14704-14712 - [c44]Pengyu Qiu
DiVerFed: Distribution-Aware Vertical Federated Learning for Missing Information. KSEM (3) 2024: 299-311 - [c43]Boci Peng, Yongchao Liu
Subgraph Retrieval Enhanced by Graph-Text Alignment for Commonsense Question Answering. ECML/PKDD (6) 2024: 39-56 - [c42]Sheng Tian, Xintan Zeng, Yifei Hu, Baokun Wang, Yongchao Liu
GraphRPM: Risk Pattern Mining on Industrial Large Attributed Graphs. ECML/PKDD (10) 2024: 133-149 - [i24]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 abs/2407.19420 (2024) - [i23]Xiaotang Wang, Yun Zhu, Haizhou Shi, Yongchao Liu, Chuntao Hong:
Graph Triple Attention Network: A Decoupled Perspective. CoRR abs/2408.07654 (2024) - [i22]Boci Peng, Yun Zhu, Yongchao Liu, Xiaohe Bo, Haizhou Shi, Chuntao Hong, Yan Zhang, Siliang Tang:
Graph Retrieval-Augmented Generation: A Survey. CoRR abs/2408.08921 (2024) - [i21]Yang Liu, Chuan Zhou, Peng Zhang
CL4KGE: A Curriculum Learning Method for Knowledge Graph Embedding. CoRR abs/2408.14840 (2024) - [i20]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) - [i19]Yun Zhu, Haizhou Shi, Xiaotang Wang, Yongchao Liu, Yaoke Wang, Boci Peng, Chuntao Hong, Siliang Tang:
GraphCLIP: Enhancing Transferability in Graph Foundation Models for Text-Attributed Graphs. CoRR abs/2410.10329 (2024) - [i18]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) - [i17]Sheng Tian, Xintan Zeng, Yifei Hu, Baokun Wang, Yongchao Liu, Yue Jin, Changhua Meng, Chuntao Hong, Tianyi Zhang, Weiqiang Wang:
GraphRPM: Risk Pattern Mining on Industrial Large Attributed Graphs. CoRR abs/2411.06878 (2024) - [i16]Chuan He, Yongchao Liu, Qiang Li, Weiqiang Wang, Xin Fu, Xinyi Fu, Chuntao Hong, Xin Yao:
Multi-Grained Preference Enhanced Transformer for Multi-Behavior Sequential Recommendation. CoRR abs/2411.12179 (2024) - [i15]Bin Dou, Baokun Wang, Yun Zhu, Xiaotong Lin, Yike Xu, Xiaorui Huang, Yang Chen, Yun Liu, Shaoshuai Han, Yongchao Liu, Tianyi Zhang, Yu Cheng, Weiqiang Wang, Chuntao Hong:
Transferable and Forecastable User Targeting Foundation Model. CoRR abs/2412.12468 (2024) - 2023
- [j72]Chengkun Jia, Yongchao Liu, Yaling Chen:
Face morphing attack detection based on high-frequency features and progressive enhancement learning. Frontiers Neurorobotics 17 (2023) - [j71]Yongchao Liu, Qidan Zhu, Xing Fan:
Event-triggered adaptive fuzzy control for stochastic nonlinear time-delay systems. Fuzzy Sets Syst. 452: 42-60 (2023) - [j70]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) - [j69]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): 321-331 (2023) - [j68]Guibing Zhu, Yongchao Liu
Dynamic event-triggered adaptive neural control for MIMO nonlinear systems via a single parameter learning method. Inf. Sci. 635: 195-207 (2023) - [j67]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): 610-623 (2023) - [j66]Guoxing Wen
Tracking control based on adaptive Bernstein polynomial approximation for a class of unknown nonlinear dynamic systems. J. Frankl. Inst. 360(7): 5082-5091 (2023) - [j65]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) - [j64]Haitao Zhang, Peng Tian
Mapping Photovoltaic Panels in Coastal China Using Sentinel-1 and Sentinel-2 Images and Google Earth Engine. Remote. Sens. 15(15): 3712 (2023) - [j63]Yongchao Liu
Event-triggered adaptive fuzzy asymptotic control design for uncertain stochastic nonlinear systems. Trans. Inst. Meas. Control 45(11): 2168-2181 (2023) - [j62]Yongchao Liu
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): 1932-1944 (2023) - [c41]Yue Jin, Chengying Huan, Heng Zhang, Yongchao Liu
G-Sparse: Compiler-Driven Acceleration for Generalized Sparse Computation for Graph Neural Networks on Modern GPUs. PACT 2023: 137-149 - [c40]Tinghui Cao
Research on Freight Volume Prediction of Express Transportation Based on BP Neural Network + Time Series. BDEIM 2023: 10-15 - [c39]Yice Luo
FAF: A Risk Detection Framework on Industry-Scale Graphs. CIKM 2023: 4717-4723 - [c38]Chengying Huan
TEA: A General-Purpose Temporal Graph Random Walk Engine. EuroSys 2023: 182-198 - [c37]Wenxiang Bai, Yongchao Liu, Wei Zhang, Lijuan Zhang:
A Windowed Stochastic Learning Automaton Algorithm for Directional Neighbor Discovery. ICCT 2023: 875-879 - [c36]Lu Zhang, Lejie Li, Benjie Dong, Yanwei Ma, Yongchao Liu:
Understanding the Trend of Internet of Things Data Prediction. ICMTEL (4) 2023: 308-318 - [c35]Yongchao Liu, Qingzhi Wang, Baozeng Fu:
Adaptive Neural Network Asymptotic Tracking Control for Autonomous Surface Vehicles. ICPS 2023: 1-5 - [c34]Yun Yue
Sharpness-Aware Minimization Revisited: Weighted Sharpness as a Regularization Term. KDD 2023: 3185-3194 - [c33]Uday Kumar Reddy Vengalam
Supporting Energy-based Learning with an Ising Machine substrate: a Case Study on RBM. MICRO 2023: 465-478 - [c32]Yun Yue, Zhiling Ye, Jiadi Jiang, Yongchao Liu, Ke Zhang:
AGD: an Auto-switchable Optimizer using Stepwise Gradient Difference for Preconditioning Matrix. NeurIPS 2023 - [c31]Yuchen Zhou
Multi-Aspect Heterogeneous Graph Augmentation. WWW 2023: 39-48 - [i14]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 abs/2304.02525 (2023) - [i13]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) - [i12]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) - [i11]Uday Kumar Reddy Vengalam, Andrew Hahn, Yongchao Liu, Anshujit Sharma, Hui Wu, Michael C. Huang:
Efficient LDPC Decoding using Physical Computation. CoRR abs/2312.02161 (2023) - 2022
- [j61]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): 636-660 (2022) - [j60]Qing-dao-er-ji Ren, Yuan Li, Shi Bao
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) - [j59]Yongchao Liu, Qidan Zhu:
Adaptive fuzzy asymptotic control for switched nonlinear systems with state constraints. Int. J. Syst. Sci. 53(5): 922-933 (2022) - [j58]Yongchao Liu, Qidan Zhu:
Adaptive neural network asymptotic control design for MIMO nonlinear systems based on event-triggered mechanism. Inf. Sci. 603: 91-105 (2022) - [j57]Yongchao Liu
Confidence regions of two-stage stochastic linear complementarity problems. Int. Trans. Oper. Res. 29(1): 48-62 (2022) - [j56]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): 14451-14462 (2022) - [j55]Peng Tian
Mapping Coastal Aquaculture Ponds of China Using Sentinel SAR Images in 2020 and Google Earth Engine. Remote. Sens. 14(21): 5372 (2022) - [j54]Shengchao Zhao, Xing-Min Chen, Yongchao Liu
Asymptotic properties of dual averaging algorithm for constrained distributed stochastic optimization. Syst. Control. Lett. 165: 105252 (2022) - [j53]Lin Chen
Stochastic Approximation Methods for the Two-Stage Stochastic Linear Complementarity Problem. SIAM J. Optim. 32(3): 2129-2155 (2022) - [j52]Yongchao Liu
Adaptive Fuzzy Finite-Time Control for Nonstrict-Feedback Nonlinear Systems. IEEE Trans. Cybern. 52(10): 10420-10429 (2022) - [j51]Yongchao Liu
Adaptive Tracking Control for Perturbed Strict-Feedback Nonlinear Systems Based on Optimized Backstepping Technique. IEEE Trans. Neural Networks Learn. Syst. 33(2): 853-865 (2022) - [c30]Chengying Huan, Shuaiwen Leon Song, Yongchao Liu
T-GCN: A Sampling Based Streaming Graph Neural Network System with Hybrid Architecture. PACT 2022: 69-82 - [c29]Chengying Huan, Hang Liu, Mengxing Liu, Yongchao Liu
TeGraph: A Novel General-Purpose Temporal Graph Computing Engine. ICDE 2022: 578-592 - [c28]Yongsheng He
Parameter Design and Stability Analysis of Virtual Synchronous Generator for Integrated Energy System. ICITEE 2022: 682-689 - [c27]Heng Zhang, Lingda Li, Hang Liu, Donglin Zhuang, Rui Liu, Chengying Huan, Shuang Song, Dingwen Tao
Bring orders into uncertainty: enabling efficient uncertain graph processing via novel path sampling on multi-accelerator systems. ICS 2022: 11:1-11:14 - 2021
- [j50]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): 2889-2903 (2021) - [j49]Yongchao Liu, Qidan Zhu:
Neural network-based asymptotic tracking control design for stochastic nonlinear systems. Int. J. Syst. Sci. 52(14): 2947-2960 (2021) - [j48]Yongchao Liu
Fuzzy approximation-based adaptive finite-time control for nonstrict feedback nonlinear systems with state constraints. Inf. Sci. 548: 101-117 (2021) - [j47]Yongchao Liu, Qidan Zhu, Ning Zhao
Event-triggered adaptive fuzzy control for switched nonlinear systems with state constraints. Inf. Sci. 562: 28-43 (2021) - [j46]Yongchao Liu, Qidan Zhu, Ning Zhao
Adaptive fuzzy backstepping control for nonstrict feedback nonlinear systems with time-varying state constraints and backlash-like hysteresis. Inf. Sci. 574: 606-624 (2021) - [j45]Yongchao Liu, Qidan Zhu:
Adaptive neural network asymptotic tracking control for nonstrict feedback stochastic nonlinear systems. Neural Networks 143: 283-290 (2021) - [j44]Xiaowei Zhu
Taking the Pulse of Financial Activities with Online Graph Processing. ACM SIGOPS Oper. Syst. Rev. 55(1): 84-87 (2021) - [c26]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 - [c25]Yang Gao, Peng Zhang
Heterogeneous Graph Neural Architecture Search. ICDM 2021: 1066-1071 - [c24]Yun Yue, Yongchao Liu
Adaptive Optimizers with Sparse Group Lasso for Neural Networks in CTR Prediction. ECML/PKDD (3) 2021: 314-329 - [c23]Houyi Li, Zhihong Chen, Chenliang Li, Rong Xiao, Hongbo Deng, Peng Zhang
Path-based Deep Network for Candidate Item Matching in Recommenders. SIGIR 2021: 1493-1502 - [c22]Yongchao Liu, Qidan Zhu:
Adaptive Neural Network Asymptotic Tracking for Nonstrict-Feedback Switched Nonlinear Systems. SPAC 2021: 25-30 - [i10]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) - [i9]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) - [i8]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 abs/2105.08246 (2021) - [i7]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 abs/2107.14432 (2021) - 2020
- [j43]Qidan Zhu, Yongchao Liu
Adaptive neural network control for time-varying state constrained nonlinear stochastic systems with input saturation. Inf. Sci. 527: 191-209 (2020) - [j42]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): 6738-6759 (2020) - [j41]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) - [i6]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
- [j40]Yongchao Liu
Discrete Approximation and Quantification in Distributionally Robust Optimization. Math. Oper. Res. 44(1): 19-37 (2019) - [j39]Bingxue Zhao, Yongxue Liu
Morphological Characteristics of Tidal Creeks in the Central Coastal Region of Jiangsu, China, Using LiDAR. Remote. Sens. 11(20): 2426 (2019) - [j38]Tony Pan
Kmerind: A Flexible Parallel Library for K-mer Indexing of Biological Sequences on Distributed Memory Systems. IEEE ACM Trans. Comput. Biol. Bioinform. 16(4): 1117-1131 (2019) - [c21]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 - [i5]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
- [j37]Yongchao Liu
Distributionally robust equilibrium for continuous games: Nash and Stackelberg models. Eur. J. Oper. Res. 265(2): 631-643 (2018) - [j36]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) - [j35]Huifu Xu
Distributionally robust optimization with matrix moment constraints: Lagrange duality and cutting plane methods. Math. Program. 169(2): 489-529 (2018) - [j34]Yongchao Liu
Partial Error Bound Conditions and the Linear Convergence Rate of the Alternating Direction Method of Multipliers. SIAM J. Numer. Anal. 56(4): 2095-2123 (2018) - [j33]Yongchao Liu
LightSpMV: Faster CUDA-Compatible Sparse Matrix-Vector Multiplication Using Compressed Sparse Rows. J. Signal Process. Syst. 90(1): 69-86 (2018) - [c20]Weirong Zhou, Yunjie Zhang, Yongchao Liu:
Bilateral Linear Operator for Period Noise Image De-noising. CSAE 2018: 105:1-105:5 - 2017
- [j32]Yongchao Liu
AFS: identification and quantification of species composition by metagenomic sequencing. Bioinform. 33(9): 1396-1398 (2017) - [j31]Sharma V. Thankachan, Sriram P. Chockalingam, Yongchao Liu
A greedy alignment-free distance estimator for phylogenetic inference. BMC Bioinform. 18(8): 238:1-238:8 (2017) - [j30]Yongchao Liu
Primal-dual hybrid gradient method for distributionally robust optimization problems. Oper. Res. Lett. 45(6): 625-630 (2017) - [j29]Yongchao Liu
Distributionally Robust Reward-Risk Ratio Optimization with Moment Constraints. SIAM J. Optim. 27(2): 957-985 (2017) - [c19]Zhunga Liu, Yongchao Liu, Kuang Zhou, You He:
Pattern classification based on the combination of the selected sources of evidence. FUSION 2017: 1-8 - [c18]Haidong Lan, Weiguo Liu, Yongchao Liu, Bertil Schmidt
SWhybrid: A Hybrid-Parallel Framework for Large-Scale Protein Sequence Database Search. IPDPS 2017: 42-51 - [c17]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: 52-61 - [p1]Yongchao Liu
CUSHAW Suite: Parallel and Efficient Algorithms for NGS Read Alignment. Algorithms for Next-Generation Sequencing Data 2017: 203-233 - [i4]Yongchao Liu, Tony Pan, Oded Green, Srinivas Aluru:
Parallelized Kendall's Tau Coefficient Computation via SIMD Vectorized Sorting On Many-Integrated-Core Processors. CoRR abs/1704.03767 (2017) - 2016
- [j28]Jorge González-Domínguez
MSAProbs-MPI: parallel multiple sequence aligner for distributed-memory systems. Bioinform. 32(24): 3826-3828 (2016) - [j27]Yongchao Liu
SNVSniffer: an integrated caller for germline and somatic single-nucleotide and indel mutations. BMC Syst. Biol. 10(S-2): 47 (2016) - [j26]Sharma V. Thankachan, Sriram P. Chockalingam, Yongchao Liu
ALFRED: A Practical Method for Alignment-Free Distance Computation. J. Comput. Biol. 23(6): 452-460 (2016) - [j25]Tuan Tu Tran, Yongchao Liu
Bit-parallel approximate pattern matching: Kepler GPU versus Xeon Phi. Parallel Comput. 54: 128-138 (2016) - [j24]Yongchao Liu
Parallel and Space-Efficient Construction of Burrows-Wheeler Transform and Suffix Array for Big Genome Data. IEEE ACM Trans. Comput. Biol. Bioinform. 13(3): 592-598 (2016) - [c16]Tony Pan
Kmerind: A Flexible Parallel Library for K-mer Indexing of Biological Sequences on Distributed Memory Systems. BCB 2016: 422-433 - [c15]Yongchao Liu, Tony Pan
Parallel Pairwise Correlation Computation on Intel Xeon Phi Clusters. SBAC-PAD 2016: 141-149 - [i3]Yongchao Liu, Srinivas Aluru:
LightScan: Faster Scan Primitive on CUDA Compatible Manycore Processors. CoRR abs/1604.04815 (2016) - [i2]Yongchao Liu, Tony Pan, Srinivas Aluru:
Parallel Pairwise Correlation Computation On Intel Xeon Phi Clusters. CoRR abs/1605.01584 (2016) - 2015
- [j23]Yongchao Liu
GSWABE: faster GPU-accelerated sequence alignment with optimal alignment retrieval for short DNA sequences. Concurr. Comput. Pract. Exp. 27(4): 958-972 (2015) - [c14]Yongchao Liu
LightSpMV: Faster CSR-based sparse matrix-vector multiplication on CUDA-enabled GPUs. ASAP 2015: 82-89 - [c13]Yongchao Liu, Martin Loewer, Srinivas Aluru, Bertil Schmidt:
SNVSniffer: An integrated caller for germline and somatic SNVs based on Bayesian models. BIBM 2015: 83-90 - [c12]Sharma V. Thankachan, Sriram P. Chockalingam, Yongchao Liu, Ambujam Krishnan, Srinivas Aluru:
A greedy alignment-free distance estimator for phylogenetic inference (extended abstract). ICCABS 2015: 1 - 2014
- [j22]Adrianto Wirawan, Robert S. Harris, Yongchao Liu
HECTOR: a parallel multistage homopolymer spectrum based error corrector for 454 sequencing data. BMC Bioinform. 15: 131 (2014) - [j21]Yongchao Liu
CUSHAW2-GPU: Empowering Faster Gapped Short-Read Alignment Using GPU Computing. IEEE Des. Test 31(1): 31-39 (2014) - [j20]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) - [j19]Yongchao Liu
Quantitative Stability Analysis of Stochastic Generalized Equations. SIAM J. Optim. 24(1): 467-497 (2014) - [j18]Yongchao Liu
Entropic Approximation for Mathematical Programs with Robust Equilibrium Constraints. SIAM J. Optim. 24(3): 933-958 (2014) - [c11]Yongchao Liu
SWAPHI: Smith-waterman protein database search on Xeon Phi coprocessors. ASAP 2014: 184-185 - [c10]Yongchao Liu
SWAPHI-LS: Smith-Waterman Algorithm on Xeon Phi coprocessors for Long DNA Sequences. CLUSTER 2014: 257-265 - [c9]Yongchao Liu, Yusuke Sakumoto, Chisa Takano, Masaki Aida:
Parameter Design for Efficient Link Utilization in Chaos-Based Transmission Rate Control. CANDAR 2014: 300-303 - [c8]Tuan Tu Tran, Simon Schindel, Yongchao Liu
Bit-Parallel Approximate Pattern Matching on the Xeon Phi Coprocessor. SBAC-PAD 2014: 81-88 - [i1]Yongchao Liu, Bertil Schmidt:
SWAPHI: Smith-Waterman Protein Database Search on Xeon Phi Coprocessors. CoRR abs/1404.4152 (2014) - 2013
- [j17]Yongchao Liu
Stability Analysis of parametric generalized equations and Applications. Asia Pac. J. Oper. Res. 30(5) (2013) - [j16]Yongchao Liu
Musket: a multistage k-mer spectrum-based error corrector for Illumina sequence data. Bioinform. 29(3): 308-315 (2013) - [j15]Yongchao Liu
CUDASW++ 3.0: accelerating Smith-Waterman protein database search by coupling CPU and GPU SIMD instructions. BMC Bioinform. 14: 117 (2013) - [j14]Yongchao Liu
Stability analysis of stochastic programs with second order dominance constraints. Math. Program. 142(1-2): 435-460 (2013) - [c7]Yongchao Liu
Faster GPU-Accelerated Smith-Waterman Algorithm with Alignment Backtracking for Short DNA Sequences. PPAM (2) 2013: 247-257 - 2012
- [b1]Yongchao Liu:
Design and implementation of parallel bioinformatics algorithms on heterogeneous computing architectures. Nanyang Technological University, Singapore, 2012 - [j13]Yongchao Liu
CUSHAW: a CUDA compatible short read aligner to large genomes based on the Burrows-Wheeler transform. Bioinform. 28(14): 1830-1837 (2012) - [j12]Yongchao Liu
Long read alignment based on maximal exact match seeds. Bioinform. 28(18): 318-324 (2012) - [j11]Yaqiang Wang
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) - [j10]Yongchao Liu
Stability Analysis of One Stage Stochastic Mathematical Programs with Complementarity Constraints. J. Optim. Theory Appl. 152(2): 537-555 (2012) - [c6]Yongchao Liu
Evaluation of GPU-based Seed Generation for Computational Genomics Using Burrows-Wheeler Transform. IPDPS Workshops 2012: 684-690 - 2011
- [j9]Yongchao Liu
Convergence Analysis of a Regularized Sample Average Approximation Method for Stochastic Mathematical Programs with complementarity Constraints. Asia Pac. J. Oper. Res. 28(6): 755-771 (2011) - [j8]Lakshmi Kuttippurathu
CompleteMOTIFs: DNA motif discovery platform for transcription factor binding experiments. Bioinform. 27(5): 715-717 (2011) - [j7]Yongchao Liu
DecGPU: distributed error correction on massively parallel graphics processing units using CUDA and MPI. BMC Bioinform. 12: 85 (2011) - [j6]Yongchao Liu
Parallelized short read assembly of large genomes using de Bruijn graphs. BMC Bioinform. 12: 354 (2011) - [j5]Yongchao Liu, Jin Zhang
Stochastic mathematical programs with hybrid equilibrium constraints. J. Comput. Appl. Math. 235(13): 3870-3882 (2011) - [j4]Yongchao Liu
Penalized Sample Average Approximation Methods for Stochastic Mathematical Programs with Complementarity Constraints. Math. Oper. Res. 36(4): 670-694 (2011) - [j3]Yongchao Liu
Stability Analysis of Two-Stage Stochastic Mathematical Programs with Complementarity Constraints via NLP Regularization. SIAM J. Optim. 21(3): 669-705 (2011) - [c5]Weiguo Liu, Bertil Schmidt
Mapping of BLASTP Algorithm onto GPU Clusters. ICPADS 2011: 236-243 - [c4]Yongchao Liu
An Ultrafast Scalable Many-Core Motif Discovery Algorithm for Multiple GPUs. IPDPS Workshops 2011: 428-434 - 2010
- [j2]Yongchao Liu
MSAProbs: multiple sequence alignment based on pair hidden Markov models and partition function posterior probabilities. Bioinform. 26(16): 1958-1964 (2010) - [j1]Yongchao Liu
CUDA-MEME: Accelerating motif discovery in biological sequences using CUDA-enabled graphics processing units. Pattern Recognit. Lett. 31(14): 2170-2177 (2010)
2000 – 2009
- 2009
- [c3]Yongchao Liu
MSA-CUDA: Multiple Sequence Alignment on Graphics Processing Units with CUDA. ASAP 2009: 121-128 - [c2]Yongchao Liu
Parallel reconstruction of neighbor-joining trees for large multiple sequence alignments using CUDA. IPDPS 2009: 1-8 - 2007
- [c1]Yongchao Liu
Optimizing Parameters of Fuzzy c-Means Clustering Algorithm. FSKD (1) 2007: 633-638
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