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Author search results
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- Tao Jiang 0001
University of California, Riverside, Department of Computer Science and Engineering, CA, USA
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Publication search results
found 271 matches
- 2023
- Yuanpeng Xiong, Xuan He, Dan Zhao, Tao Jiang, Jianyang Zeng:
DeepRCI: predicting RNA-chromatin interactions via deep learning with multi-omics data. Quant. Biol. 11(3): 275-286 (2023) - 2022
- Zhiwei Hong, Jianxing Feng, Tao Jiang:
Truly Unsupervised Image-to-Image Translation with Contrastive Representation Learning. ACCV (3) 2022: 239-255 - 2021
- Hailin Hu, Xianggen Liu, An Xiao, Yangyang Li, Chengdong Zhang, Tao Jiang, Dan Zhao, Sen Song, Jianyang Zeng:
Riboexp: an interpretable reinforcement learning framework for ribosome density modeling. Briefings Bioinform. 22(5) (2021) - Dipan Shaw, Hao Chen, Minzhu Xie, Tao Jiang:
DeepLPI: a multimodal deep learning method for predicting the interactions between lncRNAs and protein isoforms. BMC Bioinform. 22(1): 24 (2021) - Xuan He, Sai Zhang, Yanqing Zhang, Zhixin Lei, Tao Jiang, Jianyang Zeng:
Characterizing RNA Pseudouridylation by Convolutional Neural Networks. Genom. Proteom. Bioinform. 19(5): 815-833 (2021) - 2020
- Chencheng Xu, Qiao Liu, Jianyu Zhou, Minzhu Xie, Jianxing Feng, Tao Jiang:
Quantifying functional impact of non-coding variants with multi-task Bayesian neural network. Bioinform. 36(5): 1397-1404 (2020) - Weihua Pan, Tao Jiang, Stefano Lonardi:
OMGS: Optical Map-Based Genome Scaffolding. J. Comput. Biol. 27(4): 519-533 (2020) - Lixiang Hong, Jinjian Lin, Shuya Li, Fangping Wan, Hui Yang, Tao Jiang, Dan Zhao, Jianyang Zeng:
A novel machine learning framework for automated biomedical relation extraction from large-scale literature repositories. Nat. Mach. Intell. 2(6): 347-355 (2020) - Jie Shi, Xiangrui Zeng, Rui Jiang, Tao Jiang, Min Xu:
A simulated annealing approach for resolution guided homogeneous cryo-electron microscopy image selection. Quant. Biol. 8(1): 51-63 (2020) - Jianyu Zhou, Pan Li, Wanwen Zeng, Wenxiu Ma, Zhipeng Lu, Rui Jiang, Qiangfeng Cliff Zhang, Tao Jiang:
IRIS: A method for predicting in vivo RNA secondary structures using PARIS data. Quant. Biol. 8(4): 369-381 (2020) - Zhiwei Hong, Xiaocheng Fan, Tao Jiang, Jianxing Feng:
End-to-End Unpaired Image Denoising with Conditional Adversarial Networks. AAAI 2020: 4140-4149 - Chencheng Xu, Qiao Liu, Minlie Huang, Tao Jiang:
Reinforced Molecular Optimization with Neighborhood-Controlled Grammars. NeurIPS 2020 - Shuya Li, Fangping Wan, Hantao Shu, Tao Jiang, Dan Zhao, Jianyang Zeng:
MONN: A Multi-objective Neural Network for Predicting Pairwise Non-covalent Interactions and Binding Affinities Between Compounds and Proteins. RECOMB 2020: 259-260 - Chencheng Xu, Qiao Liu, Minlie Huang, Tao Jiang:
Reinforced Molecular Optimization with Neighborhood-Controlled Grammars. CoRR abs/2011.07225 (2020) - 2019
- Ashraful Arefeen, Xinshu Xiao, Tao Jiang:
DeepPASTA: deep neural network based polyadenylation site analysis. Bioinform. 35(22): 4577-4585 (2019) - Hao Chen, Dipan Shaw, Jianyang Zeng, Dongbo Bu, Tao Jiang:
DIFFUSE: predicting isoform functions from sequences and expression profiles via deep learning. Bioinform. 35(14): i284-i294 (2019) - Hailin Hu, An Xiao, Sai Zhang, Yangyang Li, Xuanling Shi, Tao Jiang, Linqi Zhang, Lei Zhang, Jianyang Zeng:
DeepHINT: understanding HIV-1 integration via deep learning with attention. Bioinform. 35(10): 1660-1667 (2019) - Dipan Shaw, Hao Chen, Tao Jiang:
DeepIsoFun: a deep domain adaptation approach to predict isoform functions. Bioinform. 35(15): 2535-2544 (2019) - Fangping Wan, Lixiang Hong, An Xiao, Tao Jiang, Jianyang Zeng:
NeoDTI: neural integration of neighbor information from a heterogeneous network for discovering new drug-target interactions. Bioinform. 35(1): 104-111 (2019) - Weihua Pan, Tao Jiang, Stefano Lonardi:
OMGS: Optical Map-Based Genome Scaffolding. RECOMB 2019: 190-207 - 2018
- Peng Zhang, Yao Xu, Tao Jiang, Angsheng Li, Guohui Lin, Eiji Miyano:
Improved Approximation Algorithms for the Maximum Happy Vertices and Edges Problems. Algorithmica 80(5): 1412-1438 (2018) - Ashraful Arefeen, Juntao Liu, Xinshu Xiao, Tao Jiang:
TAPAS: tool for alternative polyadenylation site analysis. Bioinform. 34(15): 2521-2529 (2018) - 2017
- Sai Zhang, Hailin Hu, Tao Jiang, Lei Zhang, Jianyang Zeng:
TITER: predicting translation initiation sites by deep learning. Bioinform. 33(14): i234-i242 (2017) - Sai Zhang, Hailin Hu, Jingtian Zhou, Xuan He, Tao Jiang, Jianyang Zeng:
ROSE: A Deep Learning Based Framework for Predicting Ribosome Stalling. RECOMB 2017: 402-403 - 2016
- Minzhu Xie, Qiong Wu, Jianxin Wang, Tao Jiang:
H-PoP and H-PoPG: heuristic partitioning algorithms for single individual haplotyping of polyploids. Bioinform. 32(24): 3735-3744 (2016) - Ei-Wen Yang, Tao Jiang:
SDEAP: a splice graph based differential transcript expression analysis tool for population data. Bioinform. 32(23): 3593-3602 (2016) - 2015
- Shining Ma, Tao Jiang, Rui Jiang:
Differential regulation enrichment analysis via the integration of transcriptional regulatory network and gene expression data. Bioinform. 31(4): 563-571 (2015) - Masruba Tasnim, Shining Ma, Ei-Wen Yang, Tao Jiang, Wei Li:
Accurate inference of isoforms from multiple sample RNA-Seq data. BMC Genom. 16(S-2): S15 (2015) - Yang Yang, Zhimin Zhang, Tao Jiang, Dongya Cheng:
Uniformly asymptotic behavior of ruin probabilities in a time-dependent renewal risk model with stochastic return. J. Comput. Appl. Math. 287: 32-43 (2015) - Peng Zhang, Tao Jiang, Angsheng Li:
Improved Approximation Algorithms for the Maximum Happy Vertices and Edges Problems. COCOON 2015: 159-170
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