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Ran Su
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2020 – today
- 2024
- [j46]Ding Wang, Junru Jin, Zhongshen Li, Yu Wang, Mushuang Fan, Sirui Liang, Ran Su, Leyi Wei:
StructuralDPPIV: a novel deep learning model based on atom structure for predicting dipeptidyl peptidase-IV inhibitory peptides. Bioinform. 40(2) (2024) - [j45]Ran Su, Jingyi Han, Changming Sun, Degan Zhang, Jie Geng, Ping Wang, Xiaoyan Zeng:
Prediction of anti-cancer drug synergy based on cross-matching network and cancer molecular subtypes. Comput. Biol. Medicine 175: 108441 (2024) - [j44]Qiangguo Jin, Hui Cui, Changming Sun, Yang Song, Jiangbin Zheng, Leilei Cao, Leyi Wei, Ran Su:
Inter- and intra-uncertainty based feature aggregation model for semi-supervised histopathology image segmentation. Expert Syst. Appl. 238(Part E): 122093 (2024) - [j43]Cheng Xu, Ran Su, Ran Wang, Shihong Duan:
Self-Attention Factor Graph Neural Network for Multiagent Collaborative Target Tracking. IEEE Internet Things J. 11(20): 32381-32392 (2024) - [j42]Haoyu Gong, Qian Sun, Chenrong Fang, Le Sun, Ran Su:
TreeDetector: Using Deep Learning for the Localization and Reconstruction of Urban Trees from High-Resolution Remote Sensing Images. Remote. Sens. 16(3): 524 (2024) - [c15]Siqi Chen, Jianing Zhao, Kai Zhao, Gerhard Weiss, Fengyun Zhang, Ran Su, Yang Dong, Daqian Li, Kaiyou Lei:
ANOTO: Improving Automated Negotiation via Offline-to-Online Reinforcement Learning. AAMAS 2024: 2195-2197 - [c14]Qiangguo Jin, Jiapeng Huang, Changming Sun, Hui Cui, Ping Xuan, Ran Su, Leyi Wei, Yu-Jie Wu, Chia-An Wu, Henry B. L. Duh, Yueh-Hsun Lu:
Location Embedding Based Pairwise Distance Learning for Fine-Grained Diagnosis of Urinary Stones. MICCAI (11) 2024: 405-414 - [i9]Qiangguo Jin, Hui Cui, Changming Sun, Yang Song, Jiangbin Zheng, Leilei Cao, Leyi Wei, Ran Su:
Inter- and intra-uncertainty based feature aggregation model for semi-supervised histopathology image segmentation. CoRR abs/2403.12767 (2024) - [i8]Qiangguo Jin, Jiapeng Huang, Changming Sun, Hui Cui, Ping Xuan, Ran Su, Leyi Wei, Yu-Jie Wu, Chia-An Wu, Henry B. L. Duh, Yueh-Hsun Lu:
Location embedding based pairwise distance learning for fine-grained diagnosis of urinary stones. CoRR abs/2407.00431 (2024) - 2023
- [j41]Qingxin Wei, Ruheng Wang, Yi Jiang, Leyi Wei, Yu Sun, Jie Geng, Ran Su:
ConPep: Prediction of peptide contact maps with pre-trained biological language model and multi-view feature extracting strategy. Comput. Biol. Medicine 167: 107631 (2023) - [j40]Fengyun Zhang, Jie Geng, Degan Zhang, Jinglong Gui, Ran Su:
Prediction of cancer recurrence based on compact graphs of whole slide images. Comput. Biol. Medicine 167: 107663 (2023) - [c13]Qiangguo Jin, Hui Cui, Changming Sun, Jiapeng Huang, Ping Xuan, Yiyue Xu, Linlin Wang, Leilei Cao, Leyi Wei, Ran Su:
Shape-aware contrastive deep supervision for esophageal tumor segmentation from CT scans. BIBM 2023: 1188-1193 - [c12]Gaochao Song, Qian Sun, Luo Zhang, Ran Su, Jianfeng Shi, Ying He:
OPE-SR: Orthogonal Position Encoding for Designing a Parameter-free Upsampling Module in Arbitrary-scale Image Super-Resolution. CVPR 2023: 10009-10020 - [c11]Qiangguo Jin, Changjiang Zou, Hui Cui, Changming Sun, Shu-Wei Huang, Yi-Jie Kuo, Ping Xuan, Leilei Cao, Ran Su, Leyi Wei, Henry B. L. Duh, Yu-Pin Chen:
Multi-modality Contrastive Learning for Sarcopenia Screening from Hip X-rays and Clinical Information. MICCAI (6) 2023: 85-94 - [c10]Siqi Chen, Jianing Zhao, Gerhard Weiss, Ran Su, Kaiyou Lei:
An effective negotiating agent framework based on deep offline reinforcement learning. UAI 2023: 324-335 - [i7]Gaochao Song, Luo Zhang, Ran Su, Jianfeng Shi, Ying He, Qian Sun:
OPE-SR: Orthogonal Position Encoding for Designing a Parameter-free Upsampling Module in Arbitrary-scale Image Super-Resolution. CoRR abs/2303.01091 (2023) - 2022
- [j39]Wenjia He, Yi Jiang, Junru Jin, Zhongshen Li, Jiaojiao Zhao, Balachandran Manavalan, Ran Su, Xin Gao, Leyi Wei:
Accelerating bioactive peptide discovery via mutual information-based meta-learning. Briefings Bioinform. 23(1) (2022) - [j38]Ran Su, Yingying Zhu, Quan Zou, Leyi Wei:
Distant metastasis identification based on optimized graph representation of gene interaction patterns. Briefings Bioinform. 23(1) (2022) - [j37]Ran Su, Yixuan Huang, De-gan Zhang, Guobao Xiao, Leyi Wei:
SRDFM: Siamese Response Deep Factorization Machine to improve anti-cancer drug recommendation. Briefings Bioinform. 23(2) (2022) - [j36]Tianling Liu, Ran Su, Changming Sun, Xiuting Li, Leyi Wei:
EOCSA: Predicting prognosis of Epithelial ovarian cancer with whole slide histopathological images. Expert Syst. Appl. 206: 117643 (2022) - [j35]Ran Su, Haitang Yang, Leyi Wei, Siqi Chen, Quan Zou:
A multi-label learning model for predicting drug-induced pathology in multi-organ based on toxicogenomics data. PLoS Comput. Biol. 18(9): 1010402 (2022) - [c9]Qiangguo Jin, Hui Cui, Changming Sun, Jiangbin Zheng, Leyi Wei, Zhenyu Fang, Zhaopeng Meng, Ran Su:
Semi-supervised Histological Image Segmentation via Hierarchical Consistency Enforcement. MICCAI (2) 2022: 3-13 - [c8]Siqi Chen, Qisong Sun, Ran Su:
An Intelligent Chatbot for Negotiation Dialogues. SmartWorld/UIC/ScalCom/DigitalTwin/PriComp/Meta 2022: 1172-1177 - [i6]Tianling Liu, Ran Su, Changming Sun, Xiuting Li, Leyi Wei:
EOCSA: Predicting Prognosis of Epithelial Ovarian Cancer with Whole Slide Histopathological Images. CoRR abs/2210.05258 (2022) - [i5]Chao Pang, Yu Wang, Yi Jiang, Ruheng Wang, Ran Su, Leyi Wei:
Multi-view deep learning based molecule design and structural optimization accelerates the SARS-CoV-2 inhibitor discovery. CoRR abs/2212.01575 (2022) - 2021
- [j34]Qiangguo Jin, Hui Cui, Changming Sun, Zhaopeng Meng, Ran Su:
Cascade knowledge diffusion network for skin lesion diagnosis and segmentation. Appl. Soft Comput. 99: 106881 (2021) - [j33]Ran Su, Huichen Wu, Xinyi Liu, Leyi Wei:
Predicting drug-induced hepatotoxicity based on biological feature maps and diverse classification strategies. Briefings Bioinform. 22(1): 428-437 (2021) - [j32]Chichi Dai, Pengmian Feng, Lizhen Cui, Ran Su, Wei Chen, Leyi Wei:
Iterative feature representation algorithm to improve the predictive performance of N7-methylguanosine sites. Briefings Bioinform. 22(4) (2021) - [j31]Ran Su, Linlin He, Tianling Liu, Xiaofeng Liu, Leyi Wei:
Protein subcellular localization based on deep image features and criterion learning strategy. Briefings Bioinform. 22(4) (2021) - [j30]Leyi Wei, Wenjia He, Adeel Malik, Ran Su, Lizhen Cui, Balachandran Manavalan:
Computational prediction and interpretation of cell-specific replication origin sites from multiple eukaryotes by exploiting stacking framework. Briefings Bioinform. 22(4) (2021) - [j29]Jin Liu, Ran Su, Jiahang Zhang, Leyi Wei:
Classification and gene selection of triple-negative breast cancer subtype embedding gene connectivity matrix in deep neural network. Briefings Bioinform. 22(5) (2021) - [j28]Xiao Cao, Wenjia He, Zitan Chen, Yifan Li, Kexin Wang, Hongbo Zhang, Lesong Wei, Lizhen Cui, Ran Su, Leyi Wei:
PSSP-MVIRT: peptide secondary structure prediction based on a multi-view deep learning architecture. Briefings Bioinform. 22(6) (2021) - [j27]Wenjia He, Yu Wang, Lizhen Cui, Ran Su, Leyi Wei:
Learning embedding features based on multisense-scaled attention architecture to improve the predictive performance of anticancer peptides. Bioinform. 37(24): 4684-4693 (2021) - [j26]Qiangguo Jin, Hui Cui, Changming Sun, Zhaopeng Meng, Leyi Wei, Ran Su:
Domain adaptation based self-correction model for COVID-19 infection segmentation in CT images. Expert Syst. Appl. 176: 114848 (2021) - [j25]Qiangguo Jin, Hui Cui, Changming Sun, Zhaopeng Meng, Ran Su:
Free-form tumor synthesis in computed tomography images via richer generative adversarial network. Knowl. Based Syst. 218: 106753 (2021) - [j24]Ran Su, Xiaoying Liu, Qiangguo Jin, Xiaofeng Liu, Leyi Wei:
Identification of glioblastoma molecular subtype and prognosis based on deep MRI features. Knowl. Based Syst. 232: 107490 (2021) - [c7]Fanfan Zhu, Bingke Zhu, Ran Su, Jingxin Chen:
Discussion on the Curriculum of Information Resource Management in Medical Colleges under the "New Engineering". IMMS 2021: 326-332 - [i4]Qiangguo Jin, Hui Cui, Changming Sun, Zhaopeng Meng, Leyi Wei, Ran Su:
Domain adaptation based self-correction model for COVID-19 infection segmentation in CT images. CoRR abs/2104.09699 (2021) - [i3]Qiangguo Jin, Hui Cui, Changming Sun, Zhaopeng Meng, Ran Su:
Free-form tumor synthesis in computed tomography images via richer generative adversarial network. CoRR abs/2104.09701 (2021) - 2020
- [j23]Xiaoli Qiang, Chen Zhou, Xiucai Ye, Pufeng Du, Ran Su, Leyi Wei:
CPPred-FL: a sequence-based predictor for large-scale identification of cell-penetrating peptides by feature representation learning. Briefings Bioinform. 21(1): 11-23 (2020) - [j22]Leyi Wei, Jie Hu, Fuyi Li, Jiangning Song, Ran Su, Quan Zou:
Comparative analysis and prediction of quorum-sensing peptides using feature representation learning and machine learning algorithms. Briefings Bioinform. 21(1): 106-119 (2020) - [j21]Ran Su, Jie Hu, Quan Zou, Balachandran Manavalan, Leyi Wei:
Empirical comparison and analysis of web-based cell-penetrating peptide prediction tools. Briefings Bioinform. 21(2): 408-420 (2020) - [j20]Ran Su, Xinyi Liu, Leyi Wei:
MinE-RFE: determine the optimal subset from RFE by minimizing the subset-accuracy-defined energy. Briefings Bioinform. 21(2): 687-698 (2020) - [j19]Ran Su, Xinyi Liu, Guobao Xiao, Leyi Wei:
Meta-GDBP: a high-level stacked regression model to improve anticancer drug response prediction. Briefings Bioinform. 21(3): 996-1005 (2020) - [j18]Bing Rao, Chen Zhou, Guoying Zhang, Ran Su, Leyi Wei:
ACPred-Fuse: fusing multi-view information improves the prediction of anticancer peptides. Briefings Bioinform. 21(5): 1846-1855 (2020) - [j17]Ran Su, Jiahang Zhang, Xiaofeng Liu, Leyi Wei:
Identification of expression signatures for non-small-cell lung carcinoma subtype classification. Bioinform. 36(2): 339-346 (2020) - [j16]Ran Su, Tianling Liu, Changming Sun, Qiangguo Jin, Rachid Jennane, Leyi Wei:
Fusing convolutional neural network features with hand-crafted features for osteoporosis diagnoses. Neurocomputing 385: 300-309 (2020) - [j15]Qiangguo Jin, Qi Chen, Zhaopeng Meng, Bing Wang, Ran Su:
Construction of Retinal Vessel Segmentation Models Based on Convolutional Neural Network. Neural Process. Lett. 52(2): 1005-1022 (2020) - [j14]Shihong Duan, Ran Su, Cheng Xu, Yulin Chen, Jie He:
Ultra-Wideband Radio Channel Characteristics for Near-Ground Swarm Robots Communication. IEEE Trans. Wirel. Commun. 19(7): 4715-4726 (2020) - [c6]Cheng Xu, Ran Su, Yulin Chen, Shihong Duan:
Towards Human Motion Tracking: An Open-source Platform based on Multi-sensory Fusion Methods. SMC 2020: 774-779
2010 – 2019
- 2019
- [j13]Leyi Wei, Shasha Luan, Luis Augusto Eijy Nagai, Ran Su, Quan Zou:
Exploring sequence-based features for the improved prediction of DNA N4-methylcytosine sites in multiple species. Bioinform. 35(8): 1326-1333 (2019) - [j12]Leyi Wei, Chen Zhou, Ran Su, Quan Zou:
PEPred-Suite: improved and robust prediction of therapeutic peptides using adaptive feature representation learning. Bioinform. 35(21): 4272-4280 (2019) - [j11]Leyi Wei, Ran Su, Shasha Luan, Zhijun Liao, Balachandran Manavalan, Quan Zou, Xiaolong Shi:
Iterative feature representations improve N4-methylcytosine site prediction. Bioinform. 35(23): 4930-4937 (2019) - [j10]Leyi Wei, Ran Su, Bing Wang, Xiuting Li, Quan Zou, Xing Gao:
Integration of deep feature representations and handcrafted features to improve the prediction of N6-methyladenosine sites. Neurocomputing 324: 3-9 (2019) - [j9]Qiangguo Jin, Zhaopeng Meng, Tuan D. Pham, Qi Chen, Leyi Wei, Ran Su:
DUNet: A deformable network for retinal vessel segmentation. Knowl. Based Syst. 178: 149-162 (2019) - [j8]Ran Su, Huichen Wu, Bo Xu, Xiaofeng Liu, Leyi Wei:
Developing a Multi-Dose Computational Model for Drug-Induced Hepatotoxicity Prediction Based on Toxicogenomics Data. IEEE ACM Trans. Comput. Biol. Bioinform. 16(4): 1231-1239 (2019) - 2018
- [j7]Leyi Wei, Chen Zhou, Huangrong Chen, Jiangning Song, Ran Su:
ACPred-FL: a sequence-based predictor using effective feature representation to improve the prediction of anti-cancer peptides. Bioinform. 34(23): 4007-4016 (2018) - [j6]Leyi Wei, Yijie Ding, Ran Su, Jijun Tang, Quan Zou:
Prediction of human protein subcellular localization using deep learning. J. Parallel Distributed Comput. 117: 212-217 (2018) - [c5]Ran Su, Weijun Chen, Leyi Wei, Xiuting Li, Qiangguo Jin, Wenyuan Tao:
Encoded Texture Features to Characterize Bone Radiograph Images. ICPR 2018: 3856-3861 - [i2]Qiangguo Jin, Zhao-Peng Meng, Tuan D. Pham, Qi Chen, Leyi Wei, Ran Su:
DUNet: A deformable network for retinal vessel segmentation. CoRR abs/1811.01206 (2018) - [i1]Qiangguo Jin, Zhao-Peng Meng, Changming Sun, Leyi Wei, Ran Su:
RA-UNet: A hybrid deep attention-aware network to extract liver and tumor in CT scans. CoRR abs/1811.01328 (2018) - 2017
- [j5]Leyi Wei, Pengwei Xing, Jian-Cang Zeng, Jin-Xiu Chen, Ran Su, Fei Guo:
Improved prediction of protein-protein interactions using novel negative samples, features, and an ensemble classifier. Artif. Intell. Medicine 83: 67-74 (2017) - 2014
- [j4]Ran Su, Yao Li, Daniele Zink, Lit-Hsin Loo:
Supervised prediction of drug-induced nephrotoxicity based on interleukin-6 and -8 expression levels. BMC Bioinform. 15(S-16): S16 (2014) - [j3]Ran Su, Changming Sun, Chao Zhang, Tuan D. Pham:
A novel method for dendritic spines detection based on directional morphological filter and shortest path. Comput. Medical Imaging Graph. 38(8): 793-802 (2014) - [j2]Ran Su, Changming Sun, Chao Zhang, Tuan D. Pham:
A new method for linear feature and junction enhancement in 2D images based on morphological operation, oriented anisotropic Gaussian function and Hessian information. Pattern Recognit. 47(10): 3193-3208 (2014) - 2013
- [b1]Ran Su:
Image analysis techniques for linear features. University of New South Wales, Canbera, Australia, 2013 - [c4]Chao Zhang, Changming Sun, Rhonda Davey, Ran Su, Leanne Bischof, Pascal Vallotton, David Lovell, Shelly Hope, Sigrid A. Lehnert, Tuan D. Pham:
Tubule detection in testis images using boundary weighting and circular shortest path. EMBC 2013: 3319-3322 - 2012
- [j1]Ran Su, Changming Sun, Tuan D. Pham:
Junction detection for linear structures based on Hessian, correlation and shape information. Pattern Recognit. 45(10): 3695-3706 (2012) - [c3]Ran Su, Changming Sun, Tuan D. Pham:
Dendritic spines detection based on directional morphological filter and shortest path. EMBC 2012: 5343-5346 - [c2]Chao Zhang, Changming Sun, Ran Su, Tuan D. Pham:
Segmentation of clustered nuclei based on curvature weighting. IVCNZ 2012: 49-54 - [c1]Ran Su, Changming Sun, Chao Zhang, Tuan D. Pham:
Linear feature enhancement based on morphological operation and Gabor function. IVCNZ 2012: 91-96
Coauthor Index
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last updated on 2024-10-23 20:36 CEST by the dblp team
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