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Yusong Wang
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Journal Articles
- 2024
- [j14]Yunlong Cui, Zhao Li, Yusong Wang, Danhuang Dong, Chenlin Gu, Xiaowei Lou, Peng Zhang:
Informer model with season-aware block for efficient long-term power time series forecasting. Comput. Electr. Eng. 119: 109492 (2024) - [j13]Jinfei Ma, Yusong Wang, Maosheng Xia, Zizheng Guo, Zhe Li, Jun Zhang, Jun Zhang:
The influence of train driver's foreign body penetration experience on hazard perception sensitivity: the mediating role of sustained attention. Cogn. Technol. Work. 26(1): 153-168 (2024) - [j12]Yusong Wang, Yidi Wang, Kun Jiang, Wei Zheng, Minzhang Song:
Adaptive Grid Search Based Pulse Phase and Doppler Frequency Estimation for XNAV. IEEE Trans. Aerosp. Electron. Syst. 60(3): 3707-3717 (2024) - [j11]Zheng Zong, Yusong Wang, Siyuan He, Yongjian Zhu, Zhun Wei:
A Compressive Learning-Based Scheme for Nonlinear Reconstructions in Electrical Impedance Tomography. IEEE Trans. Instrum. Meas. 73: 1-13 (2024) - 2023
- [j10]Jun Zhang, Nanning Zheng, Mingyu Liu, Dingyi Yao, Yusong Wang, Jianji Wang, Jingmin Xin:
Multi-weight susceptible-infected model for predicting COVID-19 in China. Neurocomputing 534: 161-170 (2023) - [j9]Yusong Wang, Zheng Zong, Siyuan He, Rencheng Song, Zhun Wei:
Push the Generalization Limitation of Learning Approaches by Multidomain Weight-Sharing for Full-Wave Inverse Scattering. IEEE Trans. Geosci. Remote. Sens. 61: 1-14 (2023) - [j8]Yusong Wang, Zheng Zong, Siyuan He, Zhun Wei:
Multiple-Space Deep Learning Schemes for Inverse Scattering Problems. IEEE Trans. Geosci. Remote. Sens. 61: 1-11 (2023) - 2022
- [j7]Siyuan Liu, Yusong Wang, Yifan Deng, Liang He, Bin Shao, Jian Yin, Nanning Zheng, Tie-Yan Liu, Tong Wang:
Improved drug-target interaction prediction with intermolecular graph transformer. Briefings Bioinform. 23(5) (2022) - [j6]Zheng Zong, Yusong Wang, Siyuan He, Zhun Wei:
Adaptively Regularized Bases-Expansion Subspace Optimization Methods for Electrical Impedance Tomography. IEEE Trans. Biomed. Eng. 69(10): 3098-3108 (2022) - [j5]Zheng Zong, Yusong Wang, Zhun Wei:
A Wavelet-Based Compressive Deep Learning Scheme for Inverse Scattering Problems. IEEE Trans. Geosci. Remote. Sens. 60: 1-11 (2022) - [j4]Jinhua Zhu, Yingce Xia, Chang Liu, Lijun Wu, Shufang Xie, Yusong Wang, Tong Wang, Tao Qin, Wengang Zhou, Houqiang Li, Haiguang Liu, Tie-Yan Liu:
Direct Molecular Conformation Generation. Trans. Mach. Learn. Res. 2022 (2022) - 2021
- [j3]Zhun Wei, Zheng Zong, Yusong Wang:
A Reliable Deep Learning Scheme for Nonlinear Reconstructions in Electrical Impedance Tomography. IEEE Trans. Computational Imaging 7: 789-798 (2021) - 2010
- [j2]Upender Subramanian, Jagmohan S. Raju, Sanjay K. Dhar, Yusong Wang:
Competitive Consequences of Using a Category Captain. Manag. Sci. 56(10): 1739-1765 (2010) - 2004
- [j1]Jan Verschelde, Yusong Wang:
Computing dynamic output feedback laws. IEEE Trans. Autom. Control. 49(8): 1393-1397 (2004)
Conference and Workshop Papers
- 2024
- [c9]Yusong Wang, Dongyuan Li, Jialun Shen:
Inter-Modality and Intra-Sample Alignment for Multi-Modal Emotion Recognition. ICASSP 2024: 8301-8305 - [c8]Yunyang Li, Yusong Wang, Lin Huang, Han Yang, Xinran Wei, Jia Zhang, Tong Wang, Zun Wang, Bin Shao, Tie-Yan Liu:
Long-Short-Range Message-Passing: A Physics-Informed Framework to Capture Non-Local Interaction for Scalable Molecular Dynamics Simulation. ICLR 2024 - [c7]Chunkai Wang, Bianping Su, Yusong Wang, Longqing Zhang, Yantao He:
Research on Classification Method of Construction Laws and Regulations Data. ICSI 2024: 258-268 - 2023
- [c6]Dongyuan Li, Yusong Wang, Kotaro Funakoshi, Manabu Okumura:
After: Active Learning Based Fine-Tuning Framework for Speech Emotion Recognition. ASRU 2023: 1-8 - [c5]Dongyuan Li, Shiyin Tan, Yusong Wang, Kotaro Funakoshi, Manabu Okumura:
Temporal and Topological Augmentation-based Cross-view Contrastive Learning Model for Temporal Link Prediction. CIKM 2023: 4059-4063 - [c4]Dongyuan Li, Yusong Wang, Kotaro Funakoshi, Manabu Okumura:
Joyful: Joint Modality Fusion and Graph Contrastive Learning for Multimoda Emotion Recognition. EMNLP 2023: 16051-16069 - [c3]Yusong Wang, Dongyuan Li, Kotaro Funakoshi, Manabu Okumura:
EMP: Emotion-guided Multi-modal Fusion and Contrastive Learning for Personality Traits Recognition. ICMR 2023: 243-252 - [c2]Yusong Wang, Shaoning Li, Tong Wang, Bin Shao, Nanning Zheng, Tie-Yan Liu:
Geometric Transformer with Interatomic Positional Encoding. NeurIPS 2023 - 2004
- [c1]Jan Verschelde, Yusong Wang:
Computing Feedback Laws for Linear Systems with a Parallel Pieri Homotopy. ICPP Workshops 2004: 222-229
Informal and Other Publications
- 2024
- [i10]Dongyuan Li, Ying Zhang, Yusong Wang, Funakoshi Kataro, Manabu Okumura:
Active Learning with Task Adaptation Pre-training for Speech Emotion Recognition. CoRR abs/2405.00307 (2024) - [i9]Shaoning Li, Yusong Wang, Mingyu Li, Jian Zhang, Bin Shao, Nanning Zheng, Jian Tang:
F3low: Frame-to-Frame Coarse-grained Molecular Dynamics with SE(3) Guided Flow Matching. CoRR abs/2405.00751 (2024) - [i8]Ziqing Xing, Zhaoyang Zhang, Zirui Chen, Yusong Wang, Haoran Ma, Zhun Wei, Gang Bao:
VBIM-Net: Variational Born Iterative Network for Inverse Scattering Problems. CoRR abs/2405.18731 (2024) - [i7]Yicheng Xu, Yuxin Chen, Jiahao Nie, Yusong Wang, Huiping Zhuang, Manabu Okumura:
Advancing Cross-domain Discriminability in Continual Learning of Vison-Language Models. CoRR abs/2406.18868 (2024) - [i6]Shaoning Li, Mingyu Li, Yusong Wang, Xinheng He, Nanning Zheng, Jian Zhang, Pheng-Ann Heng:
Improving AlphaFlow for Efficient Protein Ensembles Generation. CoRR abs/2407.12053 (2024) - 2023
- [i5]Dongyuan Li, Yusong Wang, Kotaro Funakoshi, Manabu Okumura:
Active Learning Based Fine-Tuning Framework for Speech Emotion Recognition. CoRR abs/2310.00283 (2023) - [i4]Dongyuan Li, Yusong Wang, Kotaro Funakoshi, Manabu Okumura:
Joyful: Joint Modality Fusion and Graph Contrastive Learning for Multimodal Emotion Recognition. CoRR abs/2311.11009 (2023) - 2022
- [i3]Jinhua Zhu, Yingce Xia, Chang Liu, Lijun Wu, Shufang Xie, Tong Wang, Yusong Wang, Wengang Zhou, Tao Qin, Houqiang Li, Tie-Yan Liu:
Direct Molecular Conformation Generation. CoRR abs/2202.01356 (2022) - [i2]Yusong Wang, Shaoning Li, Tong Wang, Zun Wang, Xinheng He, Bin Shao, Tie-Yan Liu:
An ensemble of VisNet, Transformer-M, and pretraining models for molecular property prediction in OGB Large-Scale Challenge @ NeurIPS 2022. CoRR abs/2211.12791 (2022) - 2021
- [i1]Siyuan Liu, Yusong Wang, Tong Wang, Yifan Deng, Liang He, Bin Shao, Jian Yin, Nanning Zheng, Tie-Yan Liu:
Improved Drug-target Interaction Prediction with Intermolecular Graph Transformer. CoRR abs/2110.07347 (2021)
Coauthor Index
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