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Xinwang 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
(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
- 2026
[j7]Yuqing Xiao, Shilian Han, Xinwang Liu:
A hybrid risk assessment method combining CatBoost and FAHP-Grid search optimized risk matrix for container ship accident. Expert Syst. Appl. 298: 129763 (2026)- 2025
[j6]Qiaohong Zheng
, Xinwang Liu:
A consensus-based multi-criteria decision making method integrating GLDS method and quantum probability theory for risk analysis of human errors. Comput. Ind. Eng. 200: 110847 (2025)
[j5]Qiaohong Zheng
, Xinwang Liu:
Analysis of interrelationships of human errors using linguistic decision-making trial and evaluation laboratory with consensus reaching process. Eng. Appl. Artif. Intell. 140: 109676 (2025)
[j4]Jing Tang
, Xinwang Liu, Weizhong Wang:
An Integrated Interval Type-2 Fuzzy PROMETHEE-II Decision Model for the Selection of Medical Waste Treatment Techniques. Int. J. Inf. Technol. Decis. Mak. 24(4): 1035-1065 (2025)
[j3]Yun-Ning You, Chang Tang, Xiao Zheng, Xin-Wang Liu, Yuan-Yuan Liu, Xian-Ju Li, Liang-Xiao Jiang
:
Discriminative Binary Multi-View Clustering. J. Comput. Sci. Technol. 40(4): 1064-1078 (2025)
[i9]Yuhan Kang, Zhongdi Luo, Mei Wen, Yang Shi, Jun He, Jianchao Yang, Zeyu Xue, Jing Feng, Xinwang Liu:
HWPQ: Hessian-free Weight Pruning-Quantization For LLM Compression And Acceleration. CoRR abs/2501.16376 (2025)
[i8]Xiao Chen, Sihang Zhou, Ke Liang, Xiaoyu Sun, Xinwang Liu:
Skip-Thinking: Chunk-wise Chain-of-Thought Distillation Enable Smaller Language Models to Reason Better and Faster. CoRR abs/2505.18642 (2025)
[i7]Yulin Sun, Qisheng Xu, Yi Su, Qian Zhu, Yong Dou, Xinwang Liu, Kele Xu:
AudioSet-R: A Refined AudioSet with Multi-Stage LLM Label Reannotation. CoRR abs/2508.15429 (2025)
[i6]Xiaoshu Chen, Sihang Zhou, Ke Liang, Duanyang Yuan, Haoyuan Chen, Xiaoyu Sun, Linyuan Meng, Xinwang Liu:
Putting on the Thinking Hats: A Survey on Chain of Thought Fine-tuning from the Perspective of Human Reasoning Mechanism. CoRR abs/2510.13170 (2025)- 2024
[c10]Haoyuan Qin, Chennan Ma, Mian Deng, Zhengzhu Liu, Songzhu Mei, Xinwang Liu, Cheng Wang, Siqi Shen:
The Dormant Neuron Phenomenon in Multi-Agent Reinforcement Learning Value Factorization. NeurIPS 2024
[i5]Tao Sun, Xinwang Liu, Kun Yuan:
Gradient Normalization with(out) Clipping Ensures Convergence of Nonconvex SGD under Heavy-Tailed Noise with Improved Results. CoRR abs/2410.16561 (2024)- 2023
[j2]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)
[c9]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
[c8]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
[i4]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
[c7]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
[c6]Li Cheng, Yijie Wang, Xinwang Liu:
Neighborhood Consensus Networks for Unsupervised Multi-view Outlier Detection. AAAI 2021: 7099-7106
[c5]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
[i3]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
[c4]Li Cheng, Yijie Wang, Xinwang Liu, Bin Li:
Outlier Detection Ensemble with Embedded Feature Selection. AAAI 2020: 3503-3512
[c3]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
[c2]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
[i2]Li Cheng, Yijie Wang, Xinwang Liu, Bin Li:
Outlier Detection Ensemble with Embedded Feature Selection. CoRR abs/2001.05492 (2020)
[i1]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)
2010 – 2019
- 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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