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ORCIDXinwei 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.
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Other persons with the same name
- Xinwei Liu 0001
![[0000-0001-6152-1422]](https://dblp.uni-trier.de/img/orcid-mark.12x12.png "0000-0001-6152-1422")
— NTNU - Norwegian University of Science and Technology, Gjøvik, Norway
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2020 – today
- 2024
[j37]Shuai Niu, Yecui Hu, Jie Chen, Xinwei Liu, Yuping Bai:
Does ecological network affect the construction land spatial development intensity? -An empirical study based on the main urban area of Jinan, China. Ecol. Informatics 81: 102609 (2024)- [j36]Chengqing Yu, Guangxi Yan, Chengming Yu, Xinwei Liu, Xiwei Mi:
MRIformer: A multi-resolution interactive transformer for wind speed multi-step prediction. Inf. Sci. 661: 120150 (2024) - [j35]Ziyi Jiang, Dan Wang, Xinwei Liu:
A fast primal-dual algorithm via dynamical system with variable mass for linearly constrained convex optimization. Optim. Lett. 18(8): 1855-1880 (2024) - [j34]Yuan Xun, Xiaojun Jia, Jindong Gu, Xinwei Liu, Qing Guo, Xiaochun Cao:
Minimalism is King! High-Frequency Energy-Based Screening for Data-Efficient Backdoor Attacks. IEEE Trans. Inf. Forensics Secur. 19: 4560-4571 (2024) - [j33]Jindong Gu, Xiaojun Jia, Pau de Jorge, Wenqian Yu, Xinwei Liu, Avery Ma, Yuan Xun, Anjun Hu, Ashkan Khakzar, Zhijiang Li, Xiaochun Cao, Philip Torr:
A Survey on Transferability of Adversarial Examples Across Deep Neural Networks. Trans. Mach. Learn. Res. 2024 (2024) - [c17]Xinwei Liu, Xiaojun Jia, Jindong Gu, Yuan Xun, Siyuan Liang, Xiaochun Cao:
Does Few-Shot Learning Suffer from Backdoor Attacks? AAAI 2024: 19893-19901 - [c16]Zhao Liu, Merrill Warkentin, Jutong Wen, Xinwei Liu:
Humanizing AI Customer Service: Want to Switch to Human Agents? AMCIS 2024 - [c15]Xinwei Liu, Xiaojun Jia, Yuan Xun, Siyuan Liang, Xiaochun Cao:
Multimodal Unlearnable Examples: Protecting Data against Multimodal Contrastive Learning. ACM Multimedia 2024: 8024-8033 - [i6]Xinwei Liu, Xiaojun Jia, Jindong Gu, Yuan Xun, Siyuan Liang, Xiaochun Cao:
Does Few-shot Learning Suffer from Backdoor Attacks? CoRR abs/2401.01377 (2024) - [i5]Xinwei Liu, Xiaojun Jia, Yuan Xun, Siyuan Liang, Xiaochun Cao:
Multimodal Unlearnable Examples: Protecting Data against Multimodal Contrastive Learning. CoRR abs/2407.16307 (2024) - 2023
- [j32]Juan Gao, Xinwei Liu, Yu-Hong Dai, Yakui Huang, Junhua Gu:
Distributed stochastic gradient tracking methods with momentum acceleration for non-convex optimization. Comput. Optim. Appl. 84(2): 531-572 (2023) - [j31]Juan Gao, Xinwei Liu, Yu-Hong Dai, Yakui Huang, Peng Yang:
A Family of Distributed Momentum Methods Over Directed Graphs With Linear Convergence. IEEE Trans. Autom. Control. 68(2): 1085-1092 (2023) - [c14]Jianbo Chen, Xinwei Liu, Siyuan Liang, Xiaojun Jia, Yuan Xun:
Universal Watermark Vaccine: Universal Adversarial Perturbations for Watermark Protection. CVPR Workshops 2023: 2322-2329 - [c13]Xinwei Liu, Tao Lu, Jiaming Wang, Wenhua Fang, Shichang Fu:
CFTracker: Object Tracking by Channel Filtering. ICRSA 2023 - [i4]Jindong Gu, Xiaojun Jia, Pau de Jorge, Wenqian Yu, Xinwei Liu, Avery Ma, Yuan Xun, Anjun Hu, Ashkan Khakzar, Zhijiang Li, Xiaochun Cao, Philip H. S. Torr:
A Survey on Transferability of Adversarial Examples across Deep Neural Networks. CoRR abs/2310.17626 (2023) - 2022
- [j30]Mengqi Duan, Xiangyun Song, Xinwei Liu, Dejie Cui, Xiaoguang Zhang:
Mapping the soil types combining multi-temporal remote sensing data with texture features. Comput. Electron. Agric. 200: 107230 (2022) - [j29]Pan Shang, Xinwei Liu, Chengqing Yu, Guangxi Yan, Qingqing Xiang, Xiwei Mi:
A new ensemble deep graph reinforcement learning network for spatio-temporal traffic volume forecasting in a freeway network. Digit. Signal Process. 123: 103419 (2022) - [j28]Xinwei Liu, Marius Pedersen, Renfang Wang:
Survey of natural image enhancement techniques: Classification, evaluation, challenges, and perspectives. Digit. Signal Process. 127: 103547 (2022) - [j27]Xiwei Mi, Chengqing Yu, Xinwei Liu, Guangxi Yan, Fuhao Yu, Pan Shang:
A dynamic ensemble deep deterministic policy gradient recursive network for spatiotemporal traffic speed forecasting in an urban road network. Digit. Signal Process. 129: 103643 (2022) - [j26]Tiewei Wang, Longgang Zhao, Baohua Li, Xinwei Liu, Wenkai Xu, Juan Li:
Recognition and counting of typical apple pests based on deep learning. Ecol. Informatics 68: 101556 (2022) - [j25]Yakui Huang, Yu-Hong Dai, Xinwei Liu, Hongchao Zhang:
On the Asymptotic Convergence and Acceleration of Gradient Methods. J. Sci. Comput. 90(1): 7 (2022) - [j24]Xinwei Liu, Yu-Hong Dai, Yakui Huang, Jie Sun:
A novel augmented Lagrangian method of multipliers for optimization with general inequality constraints. Math. Comput. 92(341): 1301-1330 (2022) - [c12]Xinwei Liu, Jian Liu, Yang Bai, Jindong Gu, Tao Chen, Xiaojun Jia, Xiaochun Cao:
Watermark Vaccine: Adversarial Attacks to Prevent Watermark Removal. ECCV (14) 2022: 1-17 - [c11]Jun Guo, Xinwei Liu, Chen Liu, Zixuan Zhao, Bin Zhang:
An Evaluation Model of Traffic Abnormal Probability of Adjacent Freeway Nodes Based on Space-time Constraints. ICACT 2022: 58-62 - [c10]Xinwei Liu, Chuanqi Tao:
A Dead Code Evaluation Method based on Complex Network. QRS Companion 2022: 431-436 - [c9]Xinwei Liu, Li Huang, Jian Xiao:
UM-Net: An MLP-based Image Segmentation Network. WCSP 2022: 89-94 - [i3]Xinwei Liu, Jian Liu, Yang Bai, Jindong Gu, Tao Chen, Xiaojun Jia, Xiaochun Cao:
Watermark Vaccine: Adversarial Attacks to Prevent Watermark Removal. CoRR abs/2207.08178 (2022) - 2021
- [j23]Tengteng Yu, Xinwei Liu, Yu-Hong Dai, Jie Sun:
Stochastic Variance Reduced Gradient Methods Using a Trust-Region-Like Scheme. J. Sci. Comput. 87(1): 5 (2021) - [j22]Yakui Huang, Yu-Hong Dai, Xinwei Liu:
Equipping the Barzilai-Borwein Method with the Two Dimensional Quadratic Termination Property. SIAM J. Optim. 31(4): 3068-3096 (2021) - [j21]Tengteng Yu, Xinwei Liu, Yu-Hong Dai, Jie Sun:
A Minibatch Proximal Stochastic Recursive Gradient Algorithm Using a Trust-Region-Like Scheme and Barzilai-Borwein Stepsizes. IEEE Trans. Neural Networks Learn. Syst. 32(10): 4627-4638 (2021) - [j20]Xinwei Liu, Jinhui Zhang, Yuanqing Xia:
Co-Design of Quantization and Event-Driven Control for Networked Control Systems. IEEE Trans. Syst. Man Cybern. Syst. 51(5): 3103-3110 (2021) - [c8]Jun Guo, Xinwei Liu, Chen Liu, Zixuan Zhao, Bin Zhang:
An Evaluation Model of Traffic Abnormal Probability of Adjacent Freeway Nodes Based on Space-time Constraints. ICACT 2021: 58-62 - [c7]Xiaoman Zhao, Xinwei Liu, Xuansheng Cao:
Research on Real Estate Appraisal Method Based on Feature Engineering and BP Neural Network. ICAIIS 2021: 165:1-165:7 - 2020
- [j19]Xinwei Liu, Yu-Hong Dai:
A globally convergent primal-dual interior-point relaxation method for nonlinear programs. Math. Comput. 89(323): 1301-1329 (2020) - [j18]Yakui Huang, Yu-Hong Dai, Xinwei Liu, Hongchao Zhang:
Gradient methods exploiting spectral properties. Optim. Methods Softw. 35(4): 681-705 (2020) - [j17]Yulian Zhang, Lihong Guo, Zengfa Wang, Yang Yu, Xinwei Liu, Fang Xu:
Intelligent Ship Detection in Remote Sensing Images Based on Multi-Layer Convolutional Feature Fusion. Remote. Sens. 12(20): 3316 (2020) - [i2]Tengteng Yu, Xinwei Liu, Yu-Hong Dai, Jie Sun:
A variable metric mini-batch proximal stochastic recursive gradient algorithm with diagonal Barzilai-Borwein stepsize. CoRR abs/2010.00817 (2020)
2010 – 2019
- 2019
- [j16]Wenjun Li, Dagang Li, Xinwei Liu, Ting Huang, Xianfeng Li, Wenxia Le, Hui Li:
A power-saving pre-classifier for TCAM-based IP lookup. Comput. Networks 164 (2019) - [j15]Yu-Hong Dai, Yakui Huang, Xinwei Liu:
A family of spectral gradient methods for optimization. Comput. Optim. Appl. 74(1): 43-65 (2019) - [j14]Xinwei Liu, Yuchao Tang, Yixuan Yang:
Primal-dual algorithm to solve the constrained second-order total generalized variational model for image denoising. J. Electronic Imaging 28(4): 043017 (2019) - [c6]Xinwei Liu, Chuanhao Sun, Xing Zhang:
Context-Aware Caching with Social Behavior in MEC-Enabled Wireless Cellular Networks. PerCom Workshops 2019: 1004-1008 - [c5]Wenjun Li, Xinwei Liu, Wenxia Le, Hui Li, Huayu Zhang:
A Practical Range Encoding Scheme for TCAMs. SIGCOMM Posters and Demos 2019: 163-165 - [i1]Hui Li, Jiangxing Wu, Kaixuan Xing, Peng Yi, Julong Lan, Xinsheng Ji, Qinrang Liu, Shisheng Chen, Wei Liang, Jinwu Wei, Wei Li, Fusheng Zhu, Kaiyan Tian, Jiang Zhu, Yiqin Lu, Ke Xu, Jiaxing Song, Yijun Liu, Junfeng Ma, Rui Xu, Jianming Que, Weihao Yang, Weihao Miu, Zefeng Zheng, Guohua Wei, Jiuhua Qi, Yongjie Bai, Chonghui Ning, Han Wang, Xinchun Zhang, Xin Yang, Jiansen Huang, Sai Lv, Xinwei Liu, Gengxin Li:
The Prototype of Decentralized Multilateral Co-Governing Post-IP Internet Architecture and Its Testing on Operator Networks. CoRR abs/1906.06901 (2019) - 2017
- [j13]Xinwei Liu, Jiaxin Zhang, Xing Zhang, Wenbo Wang:
Mobility-Aware Coded Probabilistic Caching Scheme for MEC-Enabled Small Cell Networks. IEEE Access 5: 17824-17833 (2017) - [c4]Jinggong Liu, Shiguang Deng, Xiufeng Tian, Xinwei Liu, Kunxiu Liu:
Combination of Human Reliability Analysis and Task Analysis in Human Factors Engineering. AHFE (5) 2017: 96-103 - [c3]Danyang Wang, Hailing Li, Shuo Wang, Juwo Yang, Xinwei Liu, Xing Zhang:
Mobility aware caching incentive scheme for D2D cellular networks. PIMRC 2017: 1-6 - 2016
- [j12]Yan Sun, Tin-Yu Wu, Xinwei Liu, Mohammad S. Obaidat:
Multilayered Impact Evaluation Model for Attacking Missions. IEEE Syst. J. 10(4): 1304-1315 (2016) - [j11]Jinhui Zhang, Xinwei Liu, Yuanqing Xia, Zhiqiang Zuo, Yijing Wang:
Disturbance Observer-Based Integral Sliding-Mode Control for Systems With Mismatched Disturbances. IEEE Trans. Ind. Electron. 63(11): 7040-7048 (2016) - 2014
- [c2]Xinwei Liu, Yan Sun, Jie Liu:
Security Analysis for UHF RFID Tags. IIH-MSP 2014: 770-774 - 2012
- [c1]Boris Brimkov, Jae-Hun Jung, Jim Kotary, Xinwei Liu, Jing Zheng:
A spectral and radial basis function hybrid method for visualizing vascular flows. CompIMAGE 2012: 205-208 - 2011
- [j10]Xinwei Liu, Yaxiang Yuan:
A Sequential Quadratic Programming Method Without A Penalty Function or a Filter for Nonlinear Equality Constrained Optimization. SIAM J. Optim. 21(2): 545-571 (2011) - 2010
- [j9]Xinwei Liu, Kim-Chuan Toh, Gongyun Zhao:
On the implementation of a log-barrier progressive hedging method for multistage stochastic programs. J. Comput. Appl. Math. 234(2): 579-592 (2010) - [j8]Xinwei Liu, Yaxiang Yuan:
A null-space primal-dual interior-point algorithm for nonlinear optimization with nice convergence properties. Math. Program. 125(1): 163-193 (2010)
2000 – 2009
- 2006
- [j7]Xinwei Liu, Georgia Perakis, Jie Sun:
A Robust SQP Method for Mathematical Programs with Linear Complementarity Constraints. Comput. Optim. Appl. 34(1): 5-33 (2006) - [j6]Jie Sun, Xinwei Liu:
Scenario Formulation of Stochastic Linear Programs and the Homogeneous Self-Dual Interior-Point Method. INFORMS J. Comput. 18(4): 444-454 (2006) - 2004
- [j5]Xinwei Liu, Jie Sun:
A New Decomposition Technique in Solving Multistage Stochastic Linear Programs by Infeasible Interior Point Methods. J. Glob. Optim. 28(2): 197-215 (2004) - [j4]Xinwei Liu, Jie Sun:
Generalized stationary points and an interior-point method for mathematical programs with equilibrium constraints. Math. Program. 101(1): 231-261 (2004) - [j3]Xinwei Liu, Jie Sun:
A Robust Primal-Dual Interior-Point Algorithm for Nonlinear Programs. SIAM J. Optim. 14(4): 1163-1186 (2004) - 2003
- [j2]Xinwei Liu, Gongyun Zhao:
A Decomposition Method Based on SQP for a Class of Multistage Stochastic Nonlinear Programs. SIAM J. Optim. 14(1): 200-222 (2003) - 2000
- [j1]Xinwei Liu, Yaxiang Yuan:
A Robust Algorithm for Optimization with General Equality and Inequality Constraints. SIAM J. Sci. Comput. 22(2): 517-534 (2000)
Coauthor Index
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