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ORCIDYongchao 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.
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2020 – today
- 2025
[j99]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)- [j98]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) - [j97]Di Lun, Huiyan Zhang, Yongchao Liu, Ning Zhao, Wudhichai Assawinchaichote:
Event-Based Finite-Time L2 Filter Design for Networked Interconnected Fuzzy Systems Under Denial-of-Service Attacks. Int. J. Fuzzy Syst. 27(2): 433-450 (2025) - [j96]Yihui Xu
, Huiyan Zhang, Yongchao Liu, Ning Zhao, Imre J. Rudas:
DoS-resilient event-triggering control of connected vehicles: An attack-parameter-dependent functional method. Inf. Sci. 712: 122118 (2025) - [j95]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) - [j94]Yaxin An, Yongchao Liu:
Observer-based self-triggered adaptive decentralized control for uncertain interconnected nonlinear systems. Math. Comput. Simul. 231: 19-31 (2025) - [j93]Yongchao Liu, Guanjun Wang, Peng Liu:
Joint Optimization of Preventive Replacement and Spare Part Ordering for Single-Unit Systems With Mixed Inspections. Qual. Reliab. Eng. Int. 41(3): 919-932 (2025) - [j92]Di Lun, Huiyan Zhang, Yongchao Liu, Ning Zhao, Wudhichai Assawinchaichote:
Improved event-based fault detection filter for networked fuzzy systems under DoS attacks. Signal Process. 227: 109699 (2025) - [j91]Daohui Zeng, Chengtao Cai, Yongchao Liu, Jie Zhao, Chenming Li:
Practical Prescribed-Time Control for Underactuated Marine Surface Vessels: Theory and Experiment. IEEE Trans Autom. Sci. Eng. 22: 14074-14083 (2025) - [j90]Daohui Zeng, Chengtao Cai, Yongchao Liu, Jie Zhao:
Adaptive Output Feedback Control of Underactuated Marine Surface Vehicles Under Input Saturation. IEEE Trans. Intell. Transp. Syst. 26(1): 1101-1112 (2025) - [j89]Li Ma, Yongchao Liu, Xiaofeng Gao, Peng Zhang, Chuntao Hong:
Building Robust and Trustworthy HGNN Models: A Learnable Threshold Approach for Node Classification. ACM Trans. Knowl. Discov. Data 19(2): 50:1-50:17 (2025) - [j88]Xiangfei Fang, Chengying Huan, Heng Zhang, Yongchao Liu, Shaonan Ma, Yanjun Wu, Chen Zhao:
OTM: Efficient k-Order-Based Core Maintenance in Large-Scale Dynamic Hypergraphs. ACM Trans. Knowl. Discov. Data 19(3): 79:1-79:33 (2025) - [c47]Xiaotang Wang, Yun Zhu, Haizhou Shi, Yongchao Liu, Chuntao Hong:
Graph Triple Attention Networks: A Decoupled Perspective. KDD (1) 2025: 1527-1538 - [c46]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. WWW 2025: 2183-2197 - [i27]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) - [i26]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) - [i25]Yue Jin, Yongchao Liu, Chuntao Hong:
GraphGen+: Advancing Distributed Subgraph Generation and Graph Learning On Industrial Graphs. CoRR abs/2503.06212 (2025) - 2024
- [j87]Yongchao Liu, Jialin Li, Xinxin Wang, Chao Sun, Peng Tian, Gaili He:
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, Yongchao Liu, Yaxin An:
Adaptive dynamic event-triggered fault tolerant control for uncertain strict-feedback nonlinear systems. Eur. J. Control 79: 101096 (2024) - [j82]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) - [j81]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: 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, Guanjun Wang, Peng 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, Yongchao Liu:
Asymptotic Properties of $\mathcal {S}$-$\mathcal {AB}$ Method With Diminishing Step-Size. IEEE Trans. Autom. Control. 69(5): 3222-3229 (2024) - [j75]Chengying Huan, Yongchao Liu, Heng Zhang, Shuaiwen Song, Santosh Pandey, Shiyang Chen, Xiangfei Fang, Yue Jin, Baptiste Lepers, Yanjun Wu, Hang Liu:
TEA+: A Novel Temporal Graph Random Walk Engine with Hybrid Storage Architecture. ACM Trans. Archit. Code Optim. 21(2): 37 (2024) - [j74]Daohui Zeng, Bowen Zeng, Yongchao Liu, Jie Zhao, Chengtao Cai:
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, 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): 1469-1487 (2024) - [c45]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: 14704-14712 - [c44]Pengyu Qiu, Yongchao Liu, Xintan Zeng:
DiVerFed: Distribution-Aware Vertical Federated Learning for Missing Information. KSEM (3) 2024: 299-311 - [c43]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. ECML/PKDD (6) 2024: 39-56 - [c42]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. 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, Yanan Cao, Yongchao Liu, Zhao Li, Hongyang Chen:
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, Yongchao Liu:
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, 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) - [j63]Yongchao Liu, Qidan Zhu:
Event-triggered adaptive fuzzy asymptotic control design for uncertain stochastic nonlinear systems. Trans. Inst. Meas. Control 45(11): 2168-2181 (2023) - [j62]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): 1932-1944 (2023) - [c41]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: 137-149 - [c40]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: 10-15 - [c39]Yice Luo, Guannan Wang, Yongchao Liu, Jiaxin Yue, Weihong Cheng, Binjie Fei:
FAF: A Risk Detection Framework on Industry-Scale Graphs. CIKM 2023: 4717-4723 - [c38]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: 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, Jiadi Jiang, Zhiling Ye, Ning Gao, Yongchao Liu, Ke Zhang:
Sharpness-Aware Minimization Revisited: Weighted Sharpness as a Regularization Term. KDD 2023: 3185-3194 - [c33]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: 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, 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: 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, 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) - [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, Wuwenqing Yan, Shengchao Zhao:
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, 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) - [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, Yongchao Liu, Xinmin Yang, Jin Zhang:
Stochastic Approximation Methods for the Two-Stage Stochastic Linear Complementarity Problem. SIAM J. Optim. 32(3): 2129-2155 (2022) - [j52]Yongchao Liu, Qidan Zhu:
Adaptive Fuzzy Finite-Time Control for Nonstrict-Feedback Nonlinear Systems. IEEE Trans. Cybern. 52(10): 10420-10429 (2022) - [j51]Yongchao Liu, Qidan Zhu, Guoxing Wen:
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, 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: 69-82 - [c29]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: 578-592 - [c28]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: 682-689 - [c27]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: 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, Qidan Zhu, Ning Zhao, Lipeng Wang:
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, Lipeng Wang:
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, 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): 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, Zhao Li, Chuan Zhou, Yongchao Liu, Yue Hu:
Heterogeneous Graph Neural Architecture Search. ICDM 2021: 1066-1071 - [c24]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: 314-329 - [c23]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: 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, Guoxing Wen:
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, Alois Pichler, Huifu Xu:
Discrete Approximation and Quantification in Distributionally Robust Optimization. Math. Oper. Res. 44(1): 19-37 (2019) - [j39]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) - [j38]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): 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, Huifu Xu, Shu-Jung Sunny Yang, Jin Zhang:
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, Yongchao Liu, Hailin Sun:
Distributionally robust optimization with matrix moment constraints: Lagrange duality and cutting plane methods. Math. Program. 169(2): 489-529 (2018) - [j34]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): 2095-2123 (2018) - [j33]Yongchao Liu, Bertil Schmidt:
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, 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): 1396-1398 (2017) - [j31]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): 238:1-238:8 (2017) - [j30]Yongchao Liu, Xiaoming Yuan, Shangzhi Zeng, Jin Zhang:
Primal-dual hybrid gradient method for distributionally robust optimization problems. Oper. Res. Lett. 45(6): 625-630 (2017) - [j29]Yongchao Liu, Rudabeh Meskarian, Huifu Xu:
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, Bertil Schmidt:
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, Yongchao Liu, Juan Touriño, Bertil Schmidt:
MSAProbs-MPI: parallel multiple sequence aligner for distributed-memory systems. Bioinform. 32(24): 3826-3828 (2016) - [j27]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): 47 (2016) - [j26]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): 452-460 (2016) - [j25]Tuan Tu Tran, Yongchao Liu, Bertil Schmidt:
Bit-parallel approximate pattern matching: Kepler GPU versus Xeon Phi. Parallel Comput. 54: 128-138 (2016) - [j24]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): 592-598 (2016) - [c16]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: 422-433 - [c15]Yongchao Liu, Tony Pan, Srinivas Aluru:
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, Bertil Schmidt:
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, Bertil Schmidt:
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, Bertil Schmidt, Jan Schröder:
HECTOR: a parallel multistage homopolymer spectrum based error corrector for 454 sequencing data. BMC Bioinform. 15: 131 (2014) - [j21]Yongchao Liu, Bertil Schmidt:
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, Werner Römisch, Huifu Xu:
Quantitative Stability Analysis of Stochastic Generalized Equations. SIAM J. Optim. 24(1): 467-497 (2014) - [j18]Yongchao Liu, Huifu Xu:
Entropic Approximation for Mathematical Programs with Robust Equilibrium Constraints. SIAM J. Optim. 24(3): 933-958 (2014) - [c11]Yongchao Liu, Bertil Schmidt:
SWAPHI: Smith-waterman protein database search on Xeon Phi coprocessors. ASAP 2014: 184-185 - [c10]Yongchao Liu, Tuan Tu Tran, Felix Lauenroth, Bertil Schmidt:
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, Bertil Schmidt:
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, Jan Schröder, Bertil Schmidt:
Musket: a multistage k-mer spectrum-based error corrector for Illumina sequence data. Bioinform. 29(3): 308-315 (2013) - [j15]Yongchao Liu, Adrianto Wirawan, Bertil Schmidt:
CUDASW++ 3.0: accelerating Smith-Waterman protein database search by coupling CPU and GPU SIMD instructions. BMC Bioinform. 14: 117 (2013) - [j14]Yongchao Liu, Huifu Xu:
Stability analysis of stochastic programs with second order dominance constraints. Math. Program. 142(1-2): 435-460 (2013) - [c7]Yongchao Liu, Bertil Schmidt:
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, Bertil Schmidt, Douglas L. Maskell:
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, Bertil Schmidt:
Long read alignment based on maximal exact match seeds. Bioinform. 28(18): 318-324 (2012) - [j11]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) - [j10]Yongchao Liu, Huifu Xu, Gui-Hua Lin:
Stability Analysis of One Stage Stochastic Mathematical Programs with Complementarity Constraints. J. Optim. Theory Appl. 152(2): 537-555 (2012) - [c6]Yongchao Liu, Bertil Schmidt:
Evaluation of GPU-based Seed Generation for Computational Genomics Using Burrows-Wheeler Transform. IPDPS Workshops 2012: 684-690 - 2011
- [j9]Yongchao Liu, Gui-Hua Lin:
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, Michael Hsing, Yongchao Liu, Bertil Schmidt, Douglas L. Maskell, Kyungjoon Lee, Aibin He, William T. Pu, Sek Won Kong:
CompleteMOTIFs: DNA motif discovery platform for transcription factor binding experiments. Bioinform. 27(5): 715-717 (2011) - [j7]Yongchao Liu, Bertil Schmidt, Douglas L. Maskell:
DecGPU: distributed error correction on massively parallel graphics processing units using CUDA and MPI. BMC Bioinform. 12: 85 (2011) - [j6]Yongchao Liu, Bertil Schmidt, Douglas L. Maskell:
Parallelized short read assembly of large genomes using de Bruijn graphs. BMC Bioinform. 12: 354 (2011) - [j5]Yongchao Liu, Jin Zhang, Gui-Hua Lin:
Stochastic mathematical programs with hybrid equilibrium constraints. J. Comput. Appl. Math. 235(13): 3870-3882 (2011) - [j4]Yongchao Liu, Huifu Xu, Jane J. Ye:
Penalized Sample Average Approximation Methods for Stochastic Mathematical Programs with Complementarity Constraints. Math. Oper. Res. 36(4): 670-694 (2011) - [j3]Yongchao Liu, Huifu Xu, Gui-Hua Lin:
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, Yongchao Liu, Gerrit Voss, Wolfgang Müller-Wittig:
Mapping of BLASTP Algorithm onto GPU Clusters. ICPADS 2011: 236-243 - [c4]Yongchao Liu, Bertil Schmidt, Douglas L. Maskell:
An Ultrafast Scalable Many-Core Motif Discovery Algorithm for Multiple GPUs. IPDPS Workshops 2011: 428-434 - 2010
- [j2]Yongchao Liu, Bertil Schmidt, Douglas L. Maskell:
MSAProbs: multiple sequence alignment based on pair hidden Markov models and partition function posterior probabilities. Bioinform. 26(16): 1958-1964 (2010) - [j1]Yongchao Liu, Bertil Schmidt, Weiguo Liu, Douglas L. Maskell:
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, Bertil Schmidt, Douglas L. Maskell:
MSA-CUDA: Multiple Sequence Alignment on Graphics Processing Units with CUDA. ASAP 2009: 121-128 - [c2]Yongchao Liu, Bertil Schmidt, Douglas L. Maskell:
Parallel reconstruction of neighbor-joining trees for large multiple sequence alignments using CUDA. IPDPS 2009: 1-8 - 2007
- [c1]Yongchao Liu, Yunjie Zhang:
Optimizing Parameters of Fuzzy c-Means Clustering Algorithm. FSKD (1) 2007: 633-638
Coauthor Index
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