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ORCIDXinwang Liu
This is just a disambiguation page, and is not intended to be the bibliography of an actual person. The links to all actual bibliographies of persons of the same or a similar name can be found below. Any publication listed on this page has not been assigned to an actual author yet. If you know the true author of one of the publications listed below, you are welcome to contact us.
Person information
Other persons with the same name
- Xinwang Liu 0001
![[0000-0001-8230-8380]](https://dblp.uni-trier.de/img/orcid-mark.12x12.png "0000-0001-8230-8380")
(aka: Xin-Wang Liu 0001) — Southeast University, School of Economics and Management, Nanjing, China - Xinwang Liu 0002 — National University of Defense Technology (NUDT), School of Computer, Changsha, China
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2020 – today
- 2024
[j8]Xiaoqing Chen, Xinwang Liu, Qingyuan Zhu, Zhiwei Wang:
DEA cross-efficiency models with prospect theory and distance entropy: An empirical study on high-tech industries. Expert Syst. Appl. 244: 122941 (2024)- [j7]Wenhao Shao, Praboda Rajapaksha, Noël Crespi, Xuechen Zhao, Mengzhu Wang, Nan Yin, Xinwang Liu, Zhigang Luo:
Consistency-constrained unsupervised video anomaly detection framework based on Co-teaching. Neurocomputing 610: 128589 (2024) - [j6]Jian Li, Chuankun Li, Xiao Zheng, Xinwang Liu, Chang Tang:
Global Context Relation-Guided Feature Aggregation Network for Salient Object Detection in Optical Remote Sensing Images. Remote. Sens. 16(16): 2978 (2024) - [i9]Yue Liu, Shihao Zhu, Jun Xia, Yingwei Ma, Jian Ma, Wenliang Zhong, Guannan Zhang, Kejun Zhang, Xinwang Liu:
Online Differentiable Clustering for Intent Learning in Recommendation. CoRR abs/2401.05975 (2024) - [i8]Wei Ju, Siyu Yi, Yifan Wang, Zhiping Xiao, Zhengyang Mao, Hourun Li, Yiyang Gu, Yifang Qin, Nan Yin, Senzhang Wang, Xinwang Liu, Xiao Luo, Philip S. Yu, Ming Zhang:
A Survey of Graph Neural Networks in Real world: Imbalance, Noise, Privacy and OOD Challenges. CoRR abs/2403.04468 (2024) - [i7]Yuheng Ji, Yue Liu, Zhicheng Zhang, Zhao Zhang, Yuting Zhao, Gang Zhou, Xingwei Zhang, Xinwang Liu, Xiaolong Zheng:
AdvLoRA: Adversarial Low-Rank Adaptation of Vision-Language Models. CoRR abs/2404.13425 (2024) - 2023
- [j5]Xiang Wang, Junxing Zhu, Zichen Xu, Kaijun Ren, Xinwang Liu, Fengyun Wang:
Local nonlinear dimensionality reduction via preserving the geometric structure of data. Pattern Recognit. 143: 109663 (2023) - [c10]Yufeng Zhang, Jialu Pan, Li Ken Li, Wanwei Liu, Zhenbang Chen, Xinwang Liu, Ji Wang:
On the Properties of Kullback-Leibler Divergence Between Multivariate Gaussian Distributions. NeurIPS 2023 - [c9]Siqi Shen, Chennan Ma, Chao Li, Weiquan Liu, Yongquan Fu, Songzhu Mei, Xinwang Liu, Cheng Wang:
RiskQ: Risk-sensitive Multi-Agent Reinforcement Learning Value Factorization. NeurIPS 2023 - [i6]Tao Sun, Congliang Chen, Peng Qiao, Li Shen, Xinwang Liu, Dongsheng Li:
Rethinking SIGN Training: Provable Nonconvex Acceleration without First- and Second-Order Gradient Lipschitz. CoRR abs/2310.14616 (2023) - [i5]Siqi Shen, Chennan Ma, Chao Li, Weiquan Liu, Yongquan Fu, Songzhu Mei, Xinwang Liu, Cheng Wang:
RiskQ: Risk-sensitive Multi-Agent Reinforcement Learning Value Factorization. CoRR abs/2311.01753 (2023) - 2022
- [c8]Siqi Shen, Mengwei Qiu, Jun Liu, Weiquan Liu, Yongquan Fu, Xinwang Liu, Cheng Wang:
ResQ: A Residual Q Function-based Approach for Multi-Agent Reinforcement Learning Value Factorization. NeurIPS 2022 - 2021
- [j4]Guang Yang, Mei Cai, Jindong Qin, Xinwang Liu, Xu Zhang:
Analytical Reduction Method for New Type-2 Fuzzy Chance-Constrained Portfolio Selection Model. Int. J. Comput. Intell. Syst. 14(1): 1617-1632 (2021) - [c7]Li Cheng, Yijie Wang, Xinwang Liu:
Neighborhood Consensus Networks for Unsupervised Multi-view Outlier Detection. AAAI 2021: 7099-7106 - [c6]Xiang Wang, Xiaoyong Li, Junxing Zhu, Zichen Xu, Kaijun Ren, Weiming Zhang, Xinwang Liu, Kui Yu:
A Local Similarity-Preserving Framework for Nonlinear Dimensionality Reduction with Neural Networks. DASFAA (2) 2021: 376-391 - [i4]Xiang Wang, Xiaoyong Li, Junxing Zhu, Zichen Xu, Kaijun Ren, Weiming Zhang, Xinwang Liu, Kui Yu:
A Local Similarity-Preserving Framework for Nonlinear Dimensionality Reduction with Neural Networks. CoRR abs/2103.06383 (2021) - 2020
- [j3]Mingxing Tang, Linbo Qiao, Zhen Huang, Xinwang Liu, Yuxing Peng, Xueliang Liu:
Accelerating SGD using flexible variance reduction on large-scale datasets. Neural Comput. Appl. 32(12): 8089-8100 (2020) - [c5]Li Cheng, Yijie Wang, Xinwang Liu, Bin Li:
Outlier Detection Ensemble with Embedded Feature Selection. AAAI 2020: 3503-3512 - [c4]Jinglin Xu, Wenbin Li, Xinwang Liu, Dingwen Zhang, Ji Liu, Junwei Han:
Deep Embedded Complementary and Interactive Information for Multi-View Classification. AAAI 2020: 6494-6501 - [c3]Jinglin Xu, Xiangsen Zhang, Wenbin Li, Xinwang Liu, Junwei Han:
Joint Multi-view 2D Convolutional Neural Networks for 3D Object Classification. IJCAI 2020: 3202-3208 - [i3]Li Cheng, Yijie Wang, Xinwang Liu, Bin Li:
Outlier Detection Ensemble with Embedded Feature Selection. CoRR abs/2001.05492 (2020) - [i2]Jinglin Xu, Wenbin Li, Jiantao Shen, Xinwang Liu, Peicheng Zhou, Xiangsen Zhang, Xiwen Yao, Junwei Han:
Embedded Deep Bilinear Interactive Information and Selective Fusion for Multi-view Learning. CoRR abs/2007.06143 (2020) - [i1]Jingyuan Xia, Shengxi Li, Jun-Jie Huang, Imad M. Jaimoukha, Xinwang Liu:
Meta-learning for Multi-variable Non-convex Optimization Problems: Iterating Non-optimums Makes Optimum Possible. CoRR abs/2009.04899 (2020)
2010 – 2019
- 2017
- [j2]Hang Gao, Songlei Jian, Yuxing Peng, Xinwang Liu:
A subspace ensemble framework for classification with high dimensional missing data. Multidimens. Syst. Signal Process. 28(4): 1309-1324 (2017) - [c2]Ting Li, Yiming Zhang, Dongsheng Li, Xinwang Liu, Yuxing Peng:
Fast Compressive Spectral Clustering. ICDM 2017: 949-954 - 2011
- [j1]Yubin Zhan, Jianping Yin, Xinwang Liu:
A Convergent Solution to Matrix Bidirectional Projection Based Feature Extraction with Application to Face Recognition. Int. J. Comput. Intell. Syst. 4(5): 863-873 (2011) - 2010
- [c1]Ni Lao, Jun Zhu, Xinwang Liu, Yandong Liu, William W. Cohen:
Efficient Relational Learning with Hidden Variable Detection. NIPS 2010: 1234-1242
Coauthor Index
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