| Vision-Language Pre-Training with Triple Contrastive Learning J Yang, J Duan, S Tran, Y Xu, S Chanda, L Chen, B Zeng, T Chilimbi, ... CVPR 2022, 2022 | 298 | 2022 |
| Tvt: Transferable vision transformer for unsupervised domain adaptation J Yang, J Liu, N Xu, J Huang WACV 2023, 2021 | 157 | 2021 |
| Retroxpert: Decompose retrosynthesis prediction like a chemist C Yan, Q Ding, P Zhao, S Zheng, J Yang, Y Yu, J Huang NeurIPS 2020 (Spotlight), 2020 | 117 | 2020 |
| Label-Driven Reconstruction for Domain Adaptation in Semantic Segmentation J Yang, W An, S Wang, X Zhu, C Yan, J Huang ECCV 2020, 2020 | 109 | 2020 |
| Context-Aware Domain Adaptation in Semantic Segmentation J Yang, W An, C Yan, P Zhao, J Huang WACV 2021, 2020 | 92 | 2020 |
| Bioinformatics tools for quantitative and functional metagenome and metatranscriptome data analysis in microbes SY Niu, J Yang, A McDermaid, J Zhao, Y Kang, Q Ma Briefings in bioinformatics 19 (6), 1415-1429, 2018 | 89 | 2018 |
| Multi-modal Alignment using Representation Codebook J Duan, L Chen, S Tran, J Yang, Y Xu, B Zeng, C Tao, T Chilimbi CVPR 2022, 2022 | 69 | 2022 |
| Prediction of regulatory motifs from human Chip-sequencing data using a deep learning framework J Yang, A Ma, AD Hoppe, C Wang, Y Li, C Zhang, Y Wang, B Liu, Q Ma Nucleic acids research 47 (15), 7809-7824, 2019 | 68 | 2019 |
| QUBIC: a bioconductor package for qualitative biclustering analysis of gene co-expression data Y Zhang, J Xie, J Yang, A Fennell, C Zhang, Q Ma Bioinformatics 33 (3), 450-452, 2017 | 67 | 2017 |
| DMINDA 2.0: integrated and systematic views of regulatory DNA motif identification and analyses J Yang, X Chen, A McDermaid, Q Ma Bioinformatics 33 (16), 2586-2588, 2017 | 59 | 2017 |
| An algorithmic perspective of de novo cis-regulatory motif finding based on ChIP-seq data B Liu, J Yang, Y Li, A McDermaid, Q Ma Briefings in bioinformatics 19 (5), 1069-1081, 2018 | 52 | 2018 |
| Exploring Robustness of Unsupervised Domain Adaptation in Semantic Segmentation J Yang, C Li, W An, H Ma, Y Guo, Y Rong, P Zhao, J Huang ICCV 2021 (Oral), 2021 | 44 | 2021 |
| Hierarchical Graph Capsule Network J Yang, P Zhao, Y Rong, C Yan, C Li, H Ma, J Huang AAAI 2021, 2020 | 43 | 2020 |
| Re-balancing Variational Autoencoder Loss for Molecule Sequence Generation C Yan, S Wang, J Yang, T Xu, J Huang ACM BCB 2020, 2019 | 42 | 2019 |
| MoDNA: motif-oriented pre-training for DNA language model W An, Y Guo, Y Bian, H Ma, J Yang, C Li, J Huang Proceedings of the 13th ACM international conference on bioinformatics …, 2022 | 17 | 2022 |
| Vision-language pre-training with triple contrastive learning, 2022 J Yang, J Duan, S Tran, Y Xu, S Chanda, L Chen, B Zeng, T Chilimbi, ... URL https://arxiv. org/abs/2202.10401, 2022 | 6 | 2022 |
| Molecule sequence generation with rebalanced variational autoencoder loss C Yan, J Yang, H Ma, S Wang, J Huang Journal of Computational Biology 30 (1), 82-94, 2023 | 4 | 2023 |
| Weightaln: Weighted homologous alignment for protein structure property prediction Y Guo, J Wu, H Ma, J Yang, X Zhu, J Huang 2020 IEEE International Conference on Bioinformatics and Biomedicine (BIBM …, 2020 | 4 | 2020 |
| Unsupervised multi-modal representation learning for high quality retrieval of similar products at e-commerce scale K Kumar, T Arici, T Neiman, J Yang, S Sam, Y Xu, H Ferhatosmanoglu, ... Proceedings of the 32nd ACM International Conference on Information and …, 2023 | 3 | 2023 |
| Bringing multimodality to Amazon visual search system X Zhu, SW Huang, H Ding, J Yang, K Chen, T Zhou, T Neiman, O Xie, ... Proceedings of the 30th ACM SIGKDD Conference on Knowledge Discovery and …, 2024 | 2 | 2024 |
Junzhou HuangJenkins Garrett Professor, Computer Science and Engineering, the University of Texas at ArlingtonVerified email at uta.edu
