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This is just a disambiguation page, and is not intended to be the bibliography of an actual person. Any publication listed on this page has not been assigned to an actual author yet. If you know the true author of one of the publications listed below, you are welcome to contact us.
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2020 – today
- 2024
[j24]Xinyan Wang, Kuo Yang, Ting Jia, Fanghui Gu, Chongyu Wang, Kuan Xu, Zixin Shu, Jianan Xia, Qiang Zhu, Xuezhong Zhou
:
KDGene: knowledge graph completion for disease gene prediction using interactional tensor decomposition. Briefings Bioinform. 25(3) (2024)- [j23]Yugui Tang, Kuo Yang, Shujing Zhang, Zhen Zhang:
Photovoltaic power forecasting: A dual-attention gated recurrent unit framework incorporating weather clustering and transfer learning strategy. Eng. Appl. Artif. Intell. 130: 107691 (2024) - [j22]Xin Dong, Chenxi Zhao, Xinpeng Song, Lei Zhang, Yu Liu, Jun Wu, Yiran Xu, Ning Xu, Jialing Liu, Haibin Yu, Kuo Yang, Xuezhong Zhou:
PresRecST: a novel herbal prescription recommendation algorithm for real-world patients with integration of syndrome differentiation and treatment planning. J. Am. Medical Informatics Assoc. 31(6): 1268-1279 (2024) - [j21]Kuo Yang, Xinhui Liu, Bingwei Cao, Wei Chen, Peng Tan, Xin Cheng:
Articulated vehicle rollover detection and active control based on center of gravity position metric. J. Syst. Control. Eng. 238(3): 465-478 (2024) - [j20]Haoyu Tian, Xiong He, Kuo Yang, Xinyu Dai, Yiming Liu, Fengjin Zhang, Zixin Shu, Qiguang Zheng, Shihua Wang, Jianan Xia, Tiancai Wen, Baoyan Liu, Jian Yu, Xuezhong Zhou:
DAPNet: multi-view graph contrastive network incorporating disease clinical and molecular associations for disease progression prediction. BMC Medical Informatics Decis. Mak. 24(1): 345 (2024) - [j19]Zhengyang Zhou, Kuo Yang, Yuxuan Liang, Binwu Wang, Hongyang Chen, Yang Wang:
Predicting Collective Human Mobility via Countering Spatiotemporal Heterogeneity. IEEE Trans. Mob. Comput. 23(5): 4723-4738 (2024) - [c24]Kai Chen, Chunwei Wang, Kuo Yang, Jianhua Han, Lanqing Hong, Fei Mi, Hang Xu, Zhengying Liu, Wenyong Huang, Zhenguo Li, Dit-Yan Yeung, Lifeng Shang:
Gaining Wisdom from Setbacks: Aligning Large Language Models via Mistake Analysis. ICLR 2024 - [c23]Qihe Huang, Zhengyang Zhou, Kuo Yang, Gengyu Lin, Zhongchao Yi, Yang Wang:
LeRet: Language-Empowered Retentive Network for Time Series Forecasting. IJCAI 2024: 4165-4173 - [c22]Fenghui Zhang, Kuo Yang, Chenqian Zhao, Haixu Li, Xin Dong, Haoyu Tian, Xuezhong Zhou:
Benchmarking Biomedical Relation Knowledge in Large Language Models. ISBRA (2) 2024: 482-495 - [i15]Kuo Yang, Duo Li, Menghan Hu, Guangtao Zhai, Xiaokang Yang, Xiao-Ping Zhang:
Uncertainty-aware Sampling for Long-tailed Semi-supervised Learning. CoRR abs/2401.04435 (2024) - [i14]Zhengyang Zhou, Qihe Huang, Binwu Wang, Jianpeng Hou, Kuo Yang, Yuxuan Liang, Yang Wang:
ComS2T: A complementary spatiotemporal learning system for data-adaptive model evolution. CoRR abs/2403.01738 (2024) - [i13]Gengyu Lin, Zhengyang Zhou, Qihe Huang, Kuo Yang, Shifen Cheng, Yang Wang:
FairSTG: Countering performance heterogeneity via collaborative sample-level optimization. CoRR abs/2403.12391 (2024) - 2023
- [j18]Kuo Yang, Yuxia Yang, Shuyue Fan, Jianan Xia, Qiguang Zheng, Xin Dong, Jun Liu, Qiong Liu, Lei Lei, Yingying Zhang, Bing Li, Zhuye Gao, Runshun Zhang, Baoyan Liu, Zhong Wang, Xuezhong Zhou:
DRONet: effectiveness-driven drug repositioning framework using network embedding and ranking learning. Briefings Bioinform. 24(1) (2023) - [j17]Siqin Zhang, Kuo Yang, Zhenhong Liu, Xinxing Lai, Zhen Yang, Jianyang Zeng, Shao Li:
DrugAI: a multi-view deep learning model for predicting drug-target activating/inhibiting mechanisms. Briefings Bioinform. 24(1) (2023) - [j16]Kezhi Lu, Kuo Yang, Hailong Sun, Qian Zhang, Qiguang Zheng, Kuan Xu, Jianxin Chen, Xuezhong Zhou:
SympGAN: A systematic knowledge integration system for symptom-gene associations network. Knowl. Based Syst. 276: 110752 (2023) - [j15]Eli Verwimp, Kuo Yang, Sarah Parisot, Lanqing Hong, Steven McDonagh, Eduardo Pérez-Pellitero, Matthias De Lange, Tinne Tuytelaars:
CLAD: A realistic Continual Learning benchmark for Autonomous Driving. Neural Networks 161: 659-669 (2023) - [c21]Lifeng Fa, Kuo Yang, Jinlong Yu, Ning Xu, Zhenzhen Han, Hongtao Guo, Lei Zhang:
Analysis of the effect of the interaction between medical and comorbidities on hospital readmission in patients with rheumatoid arthritis based on case data. BIBM 2023: 4547-4554 - [c20]Jinlong Yu, Lei Zhang, Ning Xu, Lifeng Fa, Kuo Yang:
Application of constraint-based frequent closed itemsets Mining in TCM Clinical data Analysis. BIBM 2023: 4689-4696 - [c19]Kuo Yang, Wenhao Jiang, Yiqiao Shi, Rui Qin, Wanli Bai, Duo Li, Yue Wu, Menghan Hu:
Cup-Disk Ratio Segmentation Joint with Key Retinal Vascular Information Under Diagnostic and Screening Scenarios. CGI (4) 2023: 313-326 - [c18]Zhengyang Zhou, Qihe Huang, Gengyu Lin, Yang Kuo, Lei Bai, Yang Wang:
GReTo: Remedying dynamic graph topology-task discordance via target homophily. ICLR 2023 - [c17]Kuo Yang, Zhengyang Zhou, Wei Sun, Pengkun Wang, Xu Wang, Yang Wang:
EXTRACT and REFINE: Finding a Support Subgraph Set for Graph Representation. KDD 2023: 2953-2964 - [c16]Zhengyang Zhou, Qihe Huang, Kuo Yang, Kun Wang, Xu Wang, Yudong Zhang, Yuxuan Liang, Yang Wang:
Maintaining the Status Quo: Capturing Invariant Relations for OOD Spatiotemporal Learning. KDD 2023: 3603-3614 - [c15]Zhengyang Zhou, Kuo Yang, Wei Sun, Binwu Wang, Min Zhou, Yunan Zong, Yang Wang:
Towards Learning in Grey Spatiotemporal Systems: A Prophet to Non-consecutive Spatiotemporal Dynamics. SDM 2023: 190-198 - [i12]Kuan Xu, Kuo Yang, Hanyang Dong, Xinyan Wang, Xuezhong Zhou:
A Pre-training Framework for Knowledge Graph Completion. CoRR abs/2302.02614 (2023) - [i11]Xinyan Wang, Ting Jia, Chongyu Wang, Kuan Xu, Zixin Shu, Kuo Yang, Xuezhong Zhou:
Knowledge Graph Completion based on Tensor Decomposition for Disease Gene Prediction. CoRR abs/2302.09335 (2023) - [i10]Kuo Yang, Zecong Yu, Xin Su, Xiong He, Ning Wang, Qiguang Zheng, Feidie Yu, Zhuang Liu, Tiancai Wen, Xuezhong Zhou:
A optimization framework for herbal prescription planning based on deep reinforcement learning. CoRR abs/2304.12828 (2023) - [i9]Kai Chen, Chunwei Wang, Kuo Yang, Jianhua Han, Lanqing Hong, Fei Mi, Hang Xu, Zhengying Liu, Wenyong Huang, Zhenguo Li, Dit-Yan Yeung, Lifeng Shang, Xin Jiang, Qun Liu:
Gaining Wisdom from Setbacks: Aligning Large Language Models via Mistake Analysis. CoRR abs/2310.10477 (2023) - 2022
- [j14]Siyu Hou, Peng Zhang, Kuo Yang, Lan Wang, Changzheng Ma, Yanda Li, Shao Li:
Decoding multilevel relationships with the human tissue-cell-molecule network. Briefings Bioinform. 23(5) (2022) - [j13]Ting Jia, Yuxia Yang, Xi Lu, Qiang Zhu, Kuo Yang, Xuezhong Zhou:
Link Prediction based on Tensor Decomposition for the Knowledge Graph of COVID-19 Antiviral Drug. Data Intell. 4(1): 134-148 (2022) - [j12]Kuo Yang, Yi Zheng, Kezhi Lu, Kai Chang, Ning Wang, Zixin Shu, Jian Yu, Baoyan Liu, Zhuye Gao, Xuezhong Zhou:
PDGNet: Predicting Disease Genes Using a Deep Neural Network With Multi-View Features. IEEE ACM Trans. Comput. Biol. Bioinform. 19(1): 575-584 (2022) - [c14]Qiguang Zheng, Qifan Shen, Xin Su, Kuo Yang, Zixin Shu, Xuezhong Zhou:
RESurv: A Deep Survival Analysis Model to Reveal Population Heterogeneity by Individual Risk. BIBM 2022: 2751-2758 - [c13]Eli Verwimp, Kuo Yang, Sarah Parisot, Lanqing Hong, Steven McDonagh, Eduardo Pérez-Pellitero, Matthias De Lange, Tinne Tuytelaars:
Re-examining Distillation for Continual Object Detection. BMVC 2022: 807 - [c12]Liyuan Wang, Xingxing Zhang, Kuo Yang, Longhui Yu, Chongxuan Li, Lanqing Hong, Shifeng Zhang, Zhenguo Li, Yi Zhong, Jun Zhu:
Memory Replay with Data Compression for Continual Learning. ICLR 2022 - [i8]Liyuan Wang, Xingxing Zhang, Kuo Yang, Longhui Yu, Chongxuan Li, Lanqing Hong, Shifeng Zhang, Zhenguo Li, Yi Zhong, Jun Zhu:
Memory Replay with Data Compression for Continual Learning. CoRR abs/2202.06592 (2022) - [i7]Eli Verwimp, Kuo Yang, Sarah Parisot, Lanqing Hong, Steven McDonagh, Eduardo Pérez-Pellitero, Matthias De Lange, Tinne Tuytelaars:
Re-examining Distillation For Continual Object Detection. CoRR abs/2204.01407 (2022) - [i6]Zhengyang Zhou, Yang Kuo, Wei Sun, Binwu Wang, Min Zhou, Yunan Zong, Yang Wang:
Towards Learning in Grey Spatiotemporal Systems: A Prophet to Non-consecutive Spatiotemporal Dynamics. CoRR abs/2208.08878 (2022) - [i5]Eli Verwimp, Kuo Yang, Sarah Parisot, Lanqing Hong, Steven McDonagh, Eduardo Pérez-Pellitero, Matthias De Lange, Tinne Tuytelaars:
CLAD: A realistic Continual Learning benchmark for Autonomous Driving. CoRR abs/2210.03482 (2022) - 2021
- [j11]Kuo Yang, Zhonghua Liang, Ren Liu, Wei Li:
RSS-Based Indoor Localization Using Min-Max Algorithm With Area Partition Strategy. IEEE Access 9: 125561-125568 (2021) - [c11]Xin Dong, Yi Zheng, Zixin Shu, Kai Chang, Dengying Yan, Jianan Xia, Qiang Zhu, Kunyu Zhong, Xinyan Wang, Kuo Yang, Xuezhong Zhou:
TCMPR: TCM Prescription recommendation based on subnetwork term mapping and deep learning. BIBM 2021: 3776-3783 - [c10]Qunsheng Zou, Kuo Yang, Kai Chang, Xiaoping Zhang, Xiaodong Li, Xuezhong Zhou:
Phenonizer: A fine-grained phenotypic named entity recognizer for Chinese clinical texts. BIBM 2021: 3963-3970 - [c9]Liyuan Wang, Kuo Yang, Chongxuan Li, Lanqing Hong, Zhenguo Li, Jun Zhu:
ORDisCo: Effective and Efficient Usage of Incremental Unlabeled Data for Semi-Supervised Continual Learning. CVPR 2021: 5383-5392 - [c8]Kuo Yang, Emad A. Mohammed, Behrouz H. Far:
Detection of Alzheimer's Disease Using Graph-Regularized Convolutional Neural Network Based on Structural Similarity Learning of Brain Magnetic Resonance Images. IRI 2021: 326-333 - [i4]Liyuan Wang, Kuo Yang, Chongxuan Li, Lanqing Hong, Zhenguo Li, Jun Zhu:
ORDisCo: Effective and Efficient Usage of Incremental Unlabeled Data for Semi-supervised Continual Learning. CoRR abs/2101.00407 (2021) - [i3]Qijun Luo, Zhili Liu, Lanqing Hong, Chongxuan Li, Kuo Yang, Liyuan Wang, Fengwei Zhou, Guilin Li, Zhenguo Li, Jun Zhu:
Relaxed Conditional Image Transfer for Semi-supervised Domain Adaptation. CoRR abs/2101.01400 (2021) - [i2]Kuo Yang, Emad A. Mohammed:
A Review of Artificial Intelligence Technologies for Early Prediction of Alzheimer's Disease. CoRR abs/2101.01781 (2021) - [i1]Kuo Yang, Emad A. Mohammed, Behrouz H. Far:
Detection of Alzheimer's Disease Using Graph-Regularized Convolutional Neural Network Based on Structural Similarity Learning of Brain Magnetic Resonance Images. CoRR abs/2102.13517 (2021) - 2020
- [j10]Bingwei Cao, Xinhui Liu, Wei Chen, Kuo Yang, Peng Tan:
Skid-Proof Operation of Wheel Loader Based on Model Prediction and Electro-Hydraulic Proportional Control Technology. IEEE Access 8: 81-92 (2020) - [j9]Shiwen Ma, Kuo Yang, Ning Wang, Qiang Zhu, Zhuye Gao, Runshun Zhang, Baoyan Liu, Xuezhong Zhou:
Disease phenotype synonymous prediction through network representation learning from PubMed database. Artif. Intell. Medicine 102: 101745 (2020) - [j8]Kezhi Lu, Kuo Yang, Edouard Niyongabo, Zixin Shu, Jingjing Wang, Kai Chang, Qunsheng Zou, Jiyue Jiang, Caiyan Jia, Baoyan Liu, Xuezhong Zhou:
Integrated network analysis of symptom clusters across disease conditions. J. Biomed. Informatics 107: 103482 (2020) - [j7]Zhen Zhang, Changxin He, Kuo Yang:
A Novel Surface Electromyographic Signal-Based Hand Gesture Prediction Using a Recurrent Neural Network. Sensors 20(14): 3994 (2020) - [c7]Kuo Yang, Pingen Chen:
Ammonia Distribution Control for a Two-cell SCR System in a New Configuration. ACC 2020: 282-287 - [c6]Yinyan Wang, Kuo Yang, Zixin Shu, Dengying Yan, Xuezhong Zhou:
Network-based gene prediction for TCM symptoms. BIBM 2020: 2847-2854 - [c5]Kuo Yang:
Research and Design of a High Isolation 5G Antenna for Smart Phone. ICICT 2020: 507-510
2010 – 2019
- 2019
- [j6]Yang Wu, Feilong Zhang, Kuo Yang, Shuangsang Fang, Dechao Bu, Hui Li, Liang Sun, Hairuo Hu, Kuo Gao, Wei Wang, Xuezhong Zhou, Yi Zhao, Jianxin Chen:
SymMap: an integrative database of traditional Chinese medicine enhanced by symptom mapping. Nucleic Acids Res. 47(Database-Issue): D1110-D1117 (2019) - [j5]Zhen Zhang, Kuo Yang, Jinwu Qian, Lunwei Zhang:
Real-Time Surface EMG Pattern Recognition for Hand Gestures Based on an Artificial Neural Network. Sensors 19(14): 3170 (2019) - [j4]Kuo Yang, Ruyu Wang, Guangming Liu, Zixin Shu, Ning Wang, Runshun Zhang, Jian Yu, Jianxin Chen, Xiaodong Li, Xuezhong Zhou:
HerGePred: Heterogeneous Network Embedding Representation for Disease Gene Prediction. IEEE J. Biomed. Health Informatics 23(4): 1805-1815 (2019) - 2018
- [j3]Kuo Yang, Ning Wang, Guangming Liu, Ruyu Wang, Jian Yu, Runshun Zhang, Jianxin Chen, Xuezhong Zhou:
Heterogeneous network embedding for identifying symptom candidate genes. J. Am. Medical Informatics Assoc. 25(11): 1452-1459 (2018) - [j2]Kuo Yang, Guangming Liu, Ning Wang, Runshun Zhang, Jian Yu, Jianxin Chen, Xuezhong Zhou:
Heterogeneous network propagation for herb target identification. BMC Medical Informatics Decis. Mak. 18(S-1): 27-37 (2018) - 2017
- [c4]Guangming Liu, Bianfang Chai, Kuo Yang, Xuezhong Zhou, Jian Yu:
Overlapping Functional Modules Detection in PPI Network with Pairwise Constrained Nonnegative Matrix Tri-Factorization. BCB 2017: 756-757 - 2016
- [c3]Shiwen Ma, Kuo Yang, Xuezhong Zhou, Xue Xu, Wenwen Liu:
Similarity-based algorithms for Disease Terminology Mapping. BIBM 2016: 1378-1384 - 2015
- [c2]Kuo Yang, Xuezhong Zhou, Runshun Zhang, Baoyan Liu, Lei Lei, Xiaoping Zhang, Hongwei Chu, Changkai Sun, Zhuye Gao, Hao Xu:
Integrating herb effect similarity for network-based herb target prediction. BMEI 2015: 483-488 - 2013
- [j1]Mei Song Tong, Kuo Yang, Wei Tian Sheng, Zhen Ying Zhu:
Efficient Reconstruction of Dielectric Objects Based on Integral Equation Approach With Gauss-Newton Minimization. IEEE Trans. Image Process. 22(12): 4930-4937 (2013) - 2011
- [c1]Xiaojun Lin, Shang Jiang, Xiangzhu Liu, Kuo Yang:
The CMM Measurement Path Planning for Blade Surface Based on the Contour Measurement. ICDMA 2011: 1228-1232
Coauthor Index
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