- Alexei Baevski, Arun Babu, Wei-Ning Hsu, Michael Auli:
Efficient Self-supervised Learning with Contextualized Target Representations for Vision, Speech and Language. ICML 2023: 1416-1429 - Alexander Cong Li, Ellis Langham Brown, Alexei A. Efros, Deepak Pathak:
Internet Explorer: Targeted Representation Learning on the Open Web. ICML 2023: 19385-19406 - Arne Bruns, Anika A. Spiesberger, Andreas Triantafyllopoulos, Patric Müller, Björn W. Schuller:
"Do touch!" - 3D Scanning and Printing Technologies for the Haptic Representation of Cultural Assets: A Study with Blind Target Users. SUMAC @ ACM Multimedia 2023: 21-28 - Xiaoyu Yang, Yun Ge, Haokang Peng, Lu Leng:
Circle Representation Network for Specific Target Detection in Remote Sensing Images. PRCV (4) 2023: 455-464 - Jinjiang Guo, Jie Li:
Predicting Molecule-Target Interaction by Learning Biomedical Network and Molecule Representations. CoRR abs/2302.00981 (2023) - Jiachen Lian, Alexei Baevski, Wei-Ning Hsu, Michael Auli:
AV-data2vec: Self-supervised Learning of Audio-Visual Speech Representations with Contextualized Target Representations. CoRR abs/2302.06419 (2023) - Alexander C. Li, Ellis Brown, Alexei A. Efros, Deepak Pathak:
Internet Explorer: Targeted Representation Learning on the Open Web. CoRR abs/2302.14051 (2023) - Bowen Peng, Jianyue Xie, Bo Peng, Li Liu:
Learning Invariant Representation via Contrastive Feature Alignment for Clutter Robust SAR Target Recognition. CoRR abs/2304.01747 (2023) - Kangjun Liu, Ke Chen, Yaowei Wang, Kui Jia:
Improving Deep Representation Learning via Auxiliary Learnable Target Coding. CoRR abs/2305.18680 (2023) - Nhat Khang Ngo, Truong Son Hy:
Target-aware Variational Auto-encoders for Ligand Generation with Multimodal Protein Representation Learning. CoRR abs/2309.16685 (2023) - Zhaoxi Mu, Xinyu Yang, Sining Sun, Qing Yang:
Self-Supervised Disentangled Representation Learning for Robust Target Speech Extraction. CoRR abs/2312.10305 (2023) - (Withdrawn) Improving Source-Free Target Adaptation with Vision Transformers Leveraging Domain Representation Images. CoRR abs/2311.12589 (2023)
- 2022
- Li Zhang, Chun-Chun Wang, Xing Chen:
Predicting drug-target binding affinity through molecule representation block based on multi-head attention and skip connection. Briefings Bioinform. 23(6) (2022) - Nelson R. C. Monteiro, Carlos J. V. Simões, Henrique V. Ávila, Maryam Abbasi, José Luís Oliveira, Joel P. Arrais:
Explainable deep drug-target representations for binding affinity prediction. BMC Bioinform. 23(1): 237 (2022) - Yuni Zeng, Xiangru Chen, Dezhong Peng, Lijun Zhang, Haixiao Huang:
Multi-scaled self-attention for drug-target interaction prediction based on multi-granularity representation. BMC Bioinform. 23(1): 314 (2022) - Yiwei Yang, Rui Huang, Guofeng Lv, Zhiqiang Hu, Guoping Shan, Jie Zhang, Xue Bai, Peng Liu, Hongsheng Li, Ming Chen:
Automatic segmentation of the clinical target volume and organs at risk for rectal cancer radiotherapy using structure-contextual representations based on 3D high-resolution network. Biomed. Signal Process. Control. 73: 103362 (2022) - Jiansheng Wu, Chuangchuang Lan, Zheming Mei, Xiaohuyan Chen, Yanxiang Zhu, Haifeng Hu, Yemin Diao:
Transfer learning with molecular graph convolutional networks for accurate modeling and representation of bioactivities of ligands targeting GPCRs without sufficient data. Comput. Biol. Chem. 98: 107664 (2022) - Yushu Sun, Jichao Zhou, Yibo Sun, Yang Zhou, Yunfeng Yu, Zhe Sun:
Non-negative discriminative collective target nearest-neighbor representation. Int. J. Intell. Robotics Appl. 6(1): 1-9 (2022) - Zhaoyang Chu, Feng Huang, Haitao Fu, Yuan Quan, Xionghui Zhou, Shichao Liu, Wen Zhang:
Hierarchical graph representation learning for the prediction of drug-target binding affinity. Inf. Sci. 613: 507-523 (2022) - Cong Lin, Zhoujian Chen, Yiquan Huang, Haoyu Jiang, Wencai Du, Qiong Chen:
A Deep Neural Network Based on Circular Representation for Target Detection. J. Sensors 2022: 1-10 (2022) - Qingping Liu, Yongqiang Cheng, Kaicheng Cao, Kang Liu, Hongqiang Wang:
Radar Forward-Looking Imaging for Complex Targets Based on Sparse Representation With Dictionary Learning. IEEE Geosci. Remote. Sens. Lett. 19: 1-5 (2022) - Xiao Wang, Lamei Zhang, Bin Zou:
Man-Made Target Detection of PolSAR Image Based on Local Convolution Sparse Representation. IEEE Geosci. Remote. Sens. Lett. 19: 1-5 (2022) - Yang Yang, Yongqiang Cheng, Hao Wu, Zheng Yang, Hongqiang Wang:
Time-Frequency Feature Enhancement of Moving Target Based on Adaptive Short-Time Sparse Representation. IEEE Geosci. Remote. Sens. Lett. 19: 1-5 (2022) - Guangjiao Zhou, Ye Zhang, Shaoqi Shi:
A Target-Oriented Multisource Association Model Based on Triple-Unit-Graph and Feature Constraint Representation Learning for SAR Target Detection Tasks. IEEE Geosci. Remote. Sens. Lett. 19: 1-5 (2022) - Xiangxiang Zeng, Hongxin Xiang, Linhui Yu, Jianmin Wang, Kenli Li, Ruth Nussinov, Feixiong Cheng:
Accurate prediction of molecular properties and drug targets using a self-supervised image representation learning framework. Nat. Mac. Intell. 4(11): 1004-1016 (2022) - Shuping Zhao, Jigang Wu, Bob Zhang, Lunke Fei:
Low-rank inter-class sparsity based semi-flexible target least squares regression for feature representation. Pattern Recognit. 123: 108346 (2022) - Shengli Liu, Xiaowen Zhu, Zewei Cao, Gang Wang:
Deep 1D Landmark Representation Learning for Space Target Pose Estimation. Remote. Sens. 14(16): 4035 (2022) - Qiang Ling, Kun Li, Zhaoxu Li, Zaiping Lin, Jiawen Wang:
Hyperspectral Detection and Unmixing of Subpixel Target Using Iterative Constrained Sparse Representation. IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens. 15: 1049-1063 (2022)