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ORCIDYuxuan Liang
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
- Yuxuan Liang 0001
![[0000-0001-8707-152X]](https://dblp.dagstuhl.de/img/orcid-mark.12x12.png "0000-0001-8707-152X")
— ShanghaiTech University, Shanghai, China (and 1 more) - Yuxuan Liang 0002 — Hong Kong University of Science and Technology (Guangzhou), China (and 1 more)
- Yuxuan Liang 0003 — Harbin Engineering University, Harbin, Heilongjiang, China
- Yuxuan Liang 0004 — Fudan University, Shanghai, China
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2020 – today
- 2026
[j5]Ming Liu, Yuxuan Liang, Siwei Chen, Junjie Wang, Yang Na:
SV-2DGS: Optimization of sparse view 3D reconstruction based on 2DGS models. Expert Syst. Appl. 297: 129334 (2026)- 2025
- [j4]Fobao Zhou, Xueyan Wang, Zhenxiao Yin, Yang Shen, Yuxuan Liang, Hang Zhao:
Optimized Robust Observer-Based Encoderless Control for SPMSM. IEEE Trans. Ind. Electron. 72(12): 12632-12643 (2025) - [c7]Zaige Fei, Fan Xu, Junyuan Mao, Yuxuan Liang, Qingsong Wen, Kun Wang, Hao Wu, Yang Wang:
Open-CK: A Large Multi-Physics Fields Coupling benchmarks in Combustion Kinetics. ICLR 2025 - [i15]Qingxiang Liu, Chenghao Liu, Sheng Sun, Di Yao, Yuxuan Liang:
GDformer: Going Beyond Subsequence Isolation for Multivariate Time Series Anomaly Detection. CoRR abs/2501.18196 (2025) - [i14]Yuxuan Yang, Dalin Zhang, Yuxuan Liang, Hua Lu, Gang Chen, Huan Li:
Not All Data are Good Labels: On the Self-supervised Labeling for Time Series Forecasting. CoRR abs/2502.14704 (2025) - [i13]Ninghui Feng, Songning Lai, Xin Zhou, Jiayu Yang, Kunlong Feng, Zhenxiao Yin, Fobao Zhou, Zhangyi Hu, Yutao Yue, Yuxuan Liang, Boyu Wang, Hang Zhao:
Towards Reliable Time Series Forecasting under Future Uncertainty: Ambiguity and Novelty Rejection Mechanisms. CoRR abs/2503.19656 (2025) - [i12]Ziran Liang, Rui An, Wenqi Fan, Yanghui Rao, Yuxuan Liang:
iTFKAN: Interpretable Time Series Forecasting with Kolmogorov-Arnold Network. CoRR abs/2504.16432 (2025) - [i11]Rui An, Yifeng Zhang, Ziran Liang, Wenqi Fan, Yuxuan Liang, Xuequn Shang, Qing Li:
Damba-ST: Domain-Adaptive Mamba for Efficient Urban Spatio-Temporal Prediction. CoRR abs/2506.18939 (2025) - [i10]Weigao Sun, Jiaxi Hu, Yucheng Zhou, Jusen Du, Disen Lan, Kexin Wang, Tong Zhu, Xiaoye Qu, Yu Zhang, Xiaoyu Mo, Daizong Liu, Yuxuan Liang, Wenliang Chen, Guoqi Li, Yu Cheng:
Speed Always Wins: A Survey on Efficient Architectures for Large Language Models. CoRR abs/2508.09834 (2025) - [i9]Xin Wu, Fei Teng, Ji Zhang, Xingwang Li, Yuxuan Liang:
ERIS: An Energy-Guided Feature Disentanglement Framework for Out-of-Distribution Time Series Classification. CoRR abs/2508.14134 (2025) - [i8]Lin Xu, Xinyun Yuan, Yuxuan Liang, Suwan Yin, Yuankai Wu:
Aeolus: A Multi-structural Flight Delay Dataset. CoRR abs/2510.26616 (2025) - [i7]Yuxuan Liang, Marwa Mahmoud:
Cross-Language Bias Examination in Large Language Models. CoRR abs/2512.16029 (2025) - 2024
- [j3]Yuxuan Liang, Chuang Niu, Pingkun Yan, Ge Wang:
Flipover outperforms dropout in deep learning. Vis. Comput. Ind. Biomed. Art 7(1): 4 (2024) - [c6]Wanlin Cai, Yuxuan Liang, Xianggen Liu, Jianshuai Feng, Yuankai Wu:
MSGNet: Learning Multi-Scale Inter-series Correlations for Multivariate Time Series Forecasting. AAAI 2024: 11141-11149 - [c5]Kun Wang, Hao Wu, Yifan Duan, Guibin Zhang, Kai Wang, Xiaojiang Peng, Yu Zheng, Yuxuan Liang, Yang Wang:
NuwaDynamics: Discovering and Updating in Causal Spatio-Temporal Modeling. ICLR 2024 - [c4]Kuo Yang, Zhengyang Zhou, Qihe Huang, Limin Li, Yuxuan Liang, Yang Wang:
Improving Generalization of Dynamic Graph Learning via Environment Prompt. NeurIPS 2024 - [i6]Wanlin Cai, Yuxuan Liang, Xianggen Liu, Jianshuai Feng, Yuankai Wu:
MSGNet: Learning Multi-Scale Inter-Series Correlations for Multivariate Time Series Forecasting. CoRR abs/2401.00423 (2024) - [i5]Hao Wu, Fan Xu, Yifan Duan, Ziwei Niu, Weiyan Wang, Gaofeng Lu, Kun Wang, Yuxuan Liang, Yang Wang:
Spatio-Temporal Fluid Dynamics Modeling via Physical-Awareness and Parameter Diffusion Guidance. CoRR abs/2403.13850 (2024) - [i4]Jinguo Cheng, Chunwei Yang, Wanlin Cai, Yuxuan Liang, Yuankai Wu:
NuwaTS: a Foundation Model Mending Every Incomplete Time Series. CoRR abs/2405.15317 (2024) - [i3]Ziyang Wu, Fan Liu, Jindong Han, Yuxuan Liang, Hao Liu:
Spatial-Temporal Mixture-of-Graph-Experts for Multi-Type Crime Prediction. CoRR abs/2409.15764 (2024) - 2023
- [j2]Yu Zhang, Yuxuan Liang, Jin Zhao, Fubing Mao, Lin Gu, Xiaofei Liao, Hai Jin, Haikun Liu, Song Guo, Yangqing Zeng, Hang Hu, Chen Li, Ji Zhang, Biao Wang:
EGraph: Efficient Concurrent GPU-Based Dynamic Graph Processing. IEEE Trans. Knowl. Data Eng. 35(6): 5823-5836 (2023) - [c3]Yanchuan Chang, Jianzhong Qi, Yuxuan Liang, Egemen Tanin:
Contrastive Trajectory Similarity Learning with Dual-Feature Attention. ICDE 2023: 2933-2945 - 2022
- [j1]Beibei Si, Yuxuan Liang, Jin Zhao, Yu Zhang, Xiaofei Liao, Hai Jin, Haikun Liu, Lin Gu:
GGraph: An Efficient Structure-Aware Approach for Iterative Graph Processing. IEEE Trans. Big Data 8(5): 1182-1194 (2022) - [c2]Yuxuan Liang, Juntian Su, Yufan Hu, Yang Shen:
Optimal battery selection for solar storage system. CIPAE 2022: 73-79 - [i2]Yanchuan Chang, Jianzhong Qi, Yuxuan Liang, Egemen Tanin:
Contrastive Trajectory Similarity Learning with Dual-Feature Attention. CoRR abs/2210.05155 (2022) - 2021
- [i1]Yuxuan Liang, Chuang Niu, Chen Wei, Shenghan Ren, Wenxiang Cong, Ge Wang:
Phase function estimation from a diffuse optical image via deep learning. CoRR abs/2111.08227 (2021)
2010 – 2019
- 2017
- [c1]Yuyan Sun, Yuxuan Liang, Zizhen Zhang, Jiahai Wang:
M-NSGA-II: A Memetic Algorithm for Vehicle Routing Problem with Route Balancing. IEA/AIE (1) 2017: 61-71
Coauthor Index
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