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ORCIDYi Pan 0001
Person information
- affiliation: Chinese Academy of Sciences, Center for High Performance Computing, Shenzhen Institutes of Advanced Technology, Shenzhen, China
- affiliation: Georgia State University, Department of Computer Science, Atlanta, GA, USA
- affiliation (former): Central South University, School of Information Science and Engineering, Changsha, China
- affiliation (former): University of Dayton, Department of Computer Science, OH, USA
- affiliation (former): University of Pittsburgh, USA
Other persons with the same name
- Yi Pan — disambiguation page
- Yi Pan 0002 — Sheffield University, Sheffield, UK
- Yi Pan 0003
![[0000-0001-7965-5058]](https://dblp.dagstuhl.de/img/orcid-mark.12x12.png "0000-0001-7965-5058")
— Chongqing University of Posts and Telecommunications, School of Telecommunication and Information Engineering, China - Yi Pan 0004 — North China Electric Power University, Beijing, China
- Yi Pan 0005 — Nanjing University of Science and Technology, Nanjing, China
- Yi Pan 0006 — Southeast University, Nanjing, China
- Yi Pan 0007 — Harbin Medical University, China
- Yi Pan 0008 — LinkedIn, USA
- Yi Pan 0009 — Institute of Automation, Chinese Academy of Sciences, Beijing, China
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2020 – today
- 2026
[j368]Wei Ruan, Yanjun Lyu, Jing Zhang, Jiazhang Cai, Peng Shu, Yang Ge, Yao Lu, Shang Gao, Yue Wang, Peilong Wang, Lin Zhao, Tao Wang, Yufang Liu, Luyang Fang, Ziyu Liu, Zhengliang Liu, Yiwei Li, Zihao Wu, Junhao Chen, Hanqi Jiang, Yi Pan, Zhenyuan Yang, Jingyuan Chen, Shizhe Liang, Wei Zhang, Terry Ma, Yuan Dou, Jianli Zhang, Xinyu Gong, Qi Gan, Yusong Zou, Zebang Chen, Yuanxin Qian, Shuo Yu, Jin Lu, Kenan Song, Xianqiao Wang, Andrea Sikora, Gang Li, Xiang Li, Quanzheng Li, Yingfeng Wang, Lu Zhang, Yohannes Abate, Lifang He, Wenxuan Zhong, Rongjie Liu, Chao Huang, Wei Liu, Ye Shen, Ping Ma, Hongtu Zhu, Yajun Yan, Dajiang Zhu, Tianming Liu:
Large language models for bioinformatics. Quant. Biol. 14(1) (2026)- 2025
- [j367]Limai Jiang, Ruitao Xie, Bokai Yang, Juan He, Huazhen Huang, Yi Pan, Yunpeng Cai:
Weakly supervised lesion localization and attribution for OCT images with a guided counterfactual explainer model. Expert Syst. Appl. 287: 128129 (2025) - [j366]Mini Han Wang, Jiazheng Cui, Simon Ming-Yuen Lee, Zhiyuan Lin, Peijin Zeng, Xinyue Li, Haoyang Liu, Yunxiao Liu, Yang Xu, Yapeng Wang, José Lopes Camilo Da Costa Alves, Guanghui Hou, Junbin Fang, Xiangrong Yu, Kelvin Kam Lung Chong, Yi Pan:
Applied machine learning in intelligent systems: knowledge graph-enhanced ophthalmic contrastive learning with "clinical profile" prompts. Frontiers Artif. Intell. 8 (2025) - [j365]Mini Han Wang, Xudong Jiang, Peijin Zeng, Xinyue Li, Kelvin Kam Lung Chong, Guanghui Hou, Xiaoxiao Fang, Yang Yu, Xiangrong Yu, Junbin Fang, Yi Pan:
Balancing accuracy and user satisfaction: the role of prompt engineering in AI-driven healthcare solutions. Frontiers Artif. Intell. 8 (2025) - [j364]Yulian Ding, Yi Pan, Ronald C. Geyer, Franco J. Vizeacoumar, Frederick S. Vizeacoumar, Fang-Xiang Wu:
Unraveling bladder cancer-related circRNA biomarkers: a hybrid model combining deep learning and statistics. Health Inf. Sci. Syst. 13(1): 53 (2025) - [j363]Yiheng Liu, Hao He, Tianle Han, Xu Zhang, Mengyuan Liu, Jiaming Tian, Yutong Zhang, Jiaqi Wang, Xiaohui Gao, Tianyang Zhong, Yi Pan, Shaochen Xu, Zihao Wu, Zhengliang Liu, Xin Zhang, Shu Zhang, Xintao Hu, Tuo Zhang, Ning Qiang, Tianming Liu, Bao Ge:
Understanding LLMs: A comprehensive overview from training to inference. Neurocomputing 620: 129190 (2025) - [j362]Abdur Rasool, Saba Aslam, Yongjie Xu, Yishan Wang, Yi Pan, Weiyang Chen:
Deep neurocomputational fusion for ASD diagnosis using multi-domain EEG analysis. Neurocomputing 641: 130353 (2025) - [j361]Ya Lv, Jin Liu, Xu Tian, Pei Yang, Yi Pan:
CFINet: Cross-Modality MRI Feature Interaction Network for Pseudoprogression Prediction of Glioblastoma. J. Comput. Biol. 32(2): 212-224 (2025) - [j360]Jovial Niyogisubizo, Keliang Zhao, Jintao Meng, Yi Pan, Didi Rosiyadi, Yanjie Wei:
Attention-Guided Residual U-Net with SE Connection and ASPP for Watershed-Based Cell Segmentation in Microscopy Images. J. Comput. Biol. 32(2): 225-237 (2025) - [j359]Xiujuan Lei, Ya-Li Chen, Yi Pan:
Multi-Source Data with Laplacian Eigenmaps and Denoising Autoencoder for Predicting Microbe-Disease Associations via Convolutional Neural Network. J. Comput. Sci. Technol. 40(2): 588-604 (2025) - [j358]Yajing Guo, Xiujuan Lei, Zhengfeng Wang, Ling Guo, Fang-Xiang Wu, Yi Pan:
Nucleotide-level circRNA-RBP binding sites prediction based on hybrid encoding scheme and enhanced feature extraction. Neural Networks 192: 107923 (2025) - [j357]Ming Chen, Yunhan Pan, Xiujuan Lei, Chunyan Ji, Yinglong Dai, Yi Pan:
MKMGCN-DDI: Predicting Drug-Drug Interactions via Magnetic Graph Convolutional Network With Multiple Kernels. IEEE Trans. Comput. Biol. Bioinform. 22(2): 469-480 (2025) - [j356]Jin Liu, Junbin Mao, Hanhe Lin, Hulin Kuang, Shirui Pan, Xusheng Wu, Shan Xie, Fei Liu, Yi Pan:
Multi-Modal Multi-Kernel Graph Learning for Autism Prediction and Biomarker Discovery. IEEE Trans. Comput. Biol. Bioinform. 22(2): 842-854 (2025) - [j355]Wenyue Zhan, Weiyang Chen, Yi Pan:
Automated Recognition and Analysis of Escape Response in Caenorhabditis Elegans. IEEE Trans. Comput. Biol. Bioinform. 22(3): 1201-1210 (2025) - [j354]Lin Guo, Xiujuan Lei, Lian Liu, Ming Chen, Yi Pan:
DualC: Drug-Drug Interaction Prediction Based on Dual Latent Feature Extractions. IEEE Trans. Emerg. Top. Comput. Intell. 9(1): 946-960 (2025) - [j353]Xiaoqing Zhang, Zunjie Xiao, Jingzhe Ma, Xiao Wu, Jilu Zhao, Shuai Zhang, Runzhi Li, Yi Pan, Jiang Liu:
Adaptive Dual-Axis Style-Based Recalibration Network With Class-Wise Statistics Loss for Imbalanced Medical Image Classification. IEEE Trans. Image Process. 34: 2081-2096 (2025) - [j352]Wei Lan, Zhentao Tang, Mingyang Liu, Qingfeng Chen, Wei Peng, Yi-Ping Phoebe Chen, Yi Pan:
The Large Language Models on Biomedical Data Analysis: A Survey. IEEE J. Biomed. Health Informatics 29(6): 4486-4497 (2025) - [j351]Junbin Mao, Jin Liu, Xu Tian, Yi Pan, Emanuele Trucco, Hanhe Lin:
Toward Integrating Federated Learning With Split Learning via Spatio-Temporal Graph Framework for Brain Disease Prediction. IEEE Trans. Medical Imaging 44(3): 1334-1346 (2025) - [j350]Yuzhong Chen, Zhenxiang Xiao, Yi Pan, Lin Zhao, Haixing Dai, Zihao Wu, Changhe Li, Tuo Zhang, Changying Li, Dajiang Zhu, Tianming Liu, Xi Jiang:
Mask-Guided Vision Transformer for Few-Shot Learning. IEEE Trans. Neural Networks Learn. Syst. 36(5): 9636-9647 (2025) - [j349]Tianyang Zhong, Yi Pan, Yutong Zhang, Yaonai Wei, Li Yang, Zhengliang Liu, Xiaozheng Wei, Wenjun Li, Junjie Yao, Chong Ma, Xi Jiang, Dinggang Shen, Junwei Han, Tuo Zhang:
ChatABL: Abductive Learning via Natural Language Interaction With ChatGPT. IEEE Trans. Neural Networks Learn. Syst. 36(10): 17635-17649 (2025) - [j348]Wei Lan, Guoxian Zhou, Qingfeng Chen, Wenguang Wang, Shirui Pan, Yi Pan, Shichao Zhang:
Contrastive Clustering Learning for Multi-Behavior Recommendation. ACM Trans. Inf. Syst. 43(1): 18:1-18:23 (2025) - [j347]Tangtao Luo, Mianjie Zheng, Yan Zhou, Xiuchun Xiao, Yi Pan:
An AUV-TTN Scheme Applied to AUV Trajectory Tracking Under Noise Disturbance. IEEE Trans. Veh. Technol. 74(10): 15178-15192 (2025) - [c243]Yiwei Li, Sekeun Kim, Zihao Wu, Hanqi Jiang, Yi Pan, Pengfei Jin, Sifan Song, Yucheng Shi, Xiaowei Yu, Tianze Yang, Tianming Liu, Quanzheng Li, Xiang Li:
ECHOPulse: ECG Controlled Echocardio-gram Video Generation. ICLR 2025 - [c242]Yang Wei, Yi Pan, Limai Jiang, Juan He, Bokai Yang, Yufu Huo, Yunpeng Cai, Ruitao Xie:
Lesion Localization for Medical Imaging Using Counter-factual Generation Prompt Learning. ICME 2025: 1-6 - [c241]Cong Ma, Du Wu, Zhelang Deng, Jiang Chen, Xiaowen Huang, Jintao Meng, Wenxi Zhu, Bingqiang Wang, Amelie Chi Zhou, Peng Chen, Minwen Deng, Yanjie Wei, Shengzhong Feng, Yi Pan:
NM-SpMM: Accelerating Matrix Multiplication Using N: M Sparsity with GPGPU. IPDPS 2025: 926-937 - [c240]Yi Pan, Hanqi Jiang, Junhao Chen, Yiwei Li, Huaqin Zhao, Yifan Zhou, Peng Shu, Zihao Wu, Zhengliang Liu, Dajiang Zhu, Xiang Li, Yohannes Abate, Tianming Liu:
EG-SpikeFormer: Eye-Gaze Guided Transformer on Spiking Neural Networks for Medical Image Analysis. ISBI 2025: 1-5 - [c239]Yang Jiao, Mingzhe Cui, Tao Chen, Ruibin Bai, Yi Pan:
TSCF-Net: A Temporal-Spectral Cross-Fusion Network for Low-Channel EEG Motor Imagery Classification. ISBRA (2) 2025: 26-37 - [c238]Juan He, Xiaoyan Wang, Yi Pan, Zhengshan Wang, Bokai Yang, Zhiming Zhang, Tzu-Ming Liu, Yunpeng Cai, Long Chen, Ruitao Xie:
Accurate and Interpretable Wound Healing Progress Detection Based on a Task-Related Knowledge Refinement Learning Method. ISBRA (2) 2025: 73-85 - [c237]Lei Chu, Hongyan Wu, Yi Pan:
Autonomous Generation of an Autism Knowledge Question-and-Answer Dataset Using Large Language Models. ISBRA (2) 2025: 123-138 - [c236]Anqi Liang, Xiujuan Lei, Ming Chen, Yi Pan:
Multi-task Learning with Cross-Stitch for Synergistic Effect of Drug Combination Prediction. ISBRA (1) 2025: 135-147 - [c235]Dong Xu, Tao Chen, Yang Jiao, Zhaoze Xian, Xiaoli Liu, Lei Xie, Yi Pan:
Spindle-UMamba: A Mamba-Based Attention-Unet Framework for Effective Sleep Spindle Detection. ISBRA (1) 2025: 276-287 - [i53]Wei Ruan, Yanjun Lyu, Jing Zhang, Jiazhang Cai, Peng Shu, Yang Ge, Yao Lu, Shang Gao, Yue Wang, Peilong Wang, Lin Zhao, Tao Wang, Yufang Liu, Luyang Fang, Ziyu Liu, Zhengliang Liu, Yiwei Li, Zihao Wu, Junhao Chen, Hanqi Jiang, Yi Pan, Zhenyuan Yang, Jingyuan Chen, Shizhe Liang, Wei Zhang, Terry Ma, Yuan Dou, Jianli Zhang, Xinyu Gong, Qi Gan, Yusong Zou, Zebang Chen, Yuanxin Qian, Shuo Yu, Jin Lu, Kenan Song, Xianqiao Wang, Andrea Sikora, Gang Li, Xiang Li, Quanzheng Li, Yingfeng Wang, Lu Zhang, Yohannes Abate, Lifang He, Wenxuan Zhong, Rongjie Liu, Chao Huang, Wei Liu, Ye Shen, Ping Ma, Hongtu Zhu, Yajun Yan, Dajiang Zhu, Tianming Liu:
Large Language Models for Bioinformatics. CoRR abs/2501.06271 (2025) - [i52]Cong Ma, Du Wu, Zhelang Deng, Jiang Chen, Xiaowen Huang, Jintao Meng, Wenxi Zhu, Bingqiang Wang, Amelie Chi Zhou, Peng Chen, Minwen Deng, Yanjie Wei, Shengzhong Feng, Yi Pan:
NM-SpMM: Accelerating Matrix Multiplication Using N:M Sparsity with GPGPU. CoRR abs/2503.01253 (2025) - [i51]Sohan Shankar, Yi Pan, Hanqi Jiang, Zhengliang Liu, Mohammad R. Darbandi, Agustin Lorenzo, Junhao Chen, Md Mehedi Hasan, Arif Hassan Zidan, Eliana Gelman, Joshua A. Konfrst, Jillian Y. Russell, Katelyn Fernandes, Tianze Yang, Yiwei Li, Huaqin Zhao, Afrar Jahin, Triparna Ganguly, Shair Dinesha, Yifan Zhou, Zihao Wu, Xinliang Li, Lokesh Adusumilli, Aziza Hussein, Sagar Nookarapu, Jixin Hou, Kun Jiang, Jiaxi Li, Brenden Heinel, XianShen Xi, Hailey Hubbard, Zayna Khan, Levi Whitaker, Ivan Cao, Max Allgaier, Andrew Darby, Lin Zhao, Lu Zhang, Xiaoqiao Wang, Xiang Li, Wei Zhang, Xiaowei Yu, Dajiang Zhu, Yohannes Abate, Tianming Liu:
Bridging Brains and Machines: A Unified Frontier in Neuroscience, Artificial Intelligence, and Neuromorphic Systems. CoRR abs/2507.10722 (2025) - [i50]Haoran Lu, Luyang Fang, Ruidong Zhang, Xinliang Li, Jiazhang Cai, Huimin Cheng, Lin Tang, Ziyu Liu, Zeliang Sun, Tao Wang, Yingchuan Zhang, Arif Hassan Zidan, Jinwen Xu, Jincheng Yu, Meizhi Yu, Hanqi Jiang, Xilin Gong, Weidi Luo, Bolun Sun, Yongkai Chen, Terry Ma, Shushan Wu, Yifan Zhou, Junhao Chen, Haotian Xiang, Jing Zhang, Afrar Jahin, Wei Ruan, Ke Deng, Yi Pan, Peilong Wang, Jiahui Li, Zhengliang Liu, Lu Zhang, Lin Zhao, Wei Liu, Dajiang Zhu, Xin Xing, Fei Dou, Wei Zhang, Chao Huang, Rongjie Liu, Mengrui Zhang, Yiwen Liu, Xiaoxiao Sun, Qin Lu, Zhen Xiang, Wenxuan Zhong, Tianming Liu, Ping Ma:
Alignment and Safety in Large Language Models: Safety Mechanisms, Training Paradigms, and Emerging Challenges. CoRR abs/2507.19672 (2025) - [i49]Afrar Jahin, Yi Pan, Yingfeng Wang, Tianming Liu, Wei Zhang:
Quantum-Classical Hybrid Molecular Autoencoder for Advancing Classical Decoding. CoRR abs/2508.19394 (2025) - [i48]Junhao Chen, Yifan Zhou, Hanqi Jiang, Yi Pan, Yiwei Li, Huaqin Zhao, Wei Zhang, Yingfeng Wang, Tianming Liu:
CLAQS: Compact Learnable All-Quantum Token Mixer with Shared-ansatz for Text Classification. CoRR abs/2510.06532 (2025) - [i47]Peng Shu, Junhao Chen, Zhengliang Liu, Hanqi Jiang, Yi Pan, Khanh Nhu Nguyen, Zihao Wu, Huaqin Zhao, Yiwei Li, Enze Shi, Shaochen Xu:
MoMoE: A Mixture of Expert Agent Model for Financial Sentiment Analysis. CoRR abs/2511.13983 (2025) - [i46]Shihao Zou, Jingjing Li, Wei Ji, Jincai Huang, Kai Wang, Guo Dan, Weixin Si, Yi Pan:
Surgical Scene Segmentation using a Spike-Driven Video Transformer with Real-Time Potential. CoRR abs/2512.21284 (2025) - 2024
- [j346]Yang Jiao, Qian Zheng, Dan Qiao, Xun Lang, Lei Xie, Yi Pan:
EEG rhythm separation and time-frequency analysis of fast multivariate empirical mode decomposition for motor imagery BCI. Biol. Cybern. 118(1-2): 21-37 (2024) - [j345]Wenjing Li, Bin Wang, Jin Dai, Yan Kou, Xiaojun Chen, Yi Pan, Shuangwei Hu, Zhenjiang Zech Xu:
Partial order relation-based gene ontology embedding improves protein function prediction. Briefings Bioinform. 25(2) (2024) - [j344]Wei Lan, Haibo Liao, Qingfeng Chen, Lingzhi Zhu, Yi Pan, Yi-Ping Phoebe Chen:
DeepKEGG: a multi-omics data integration framework with biological insights for cancer recurrence prediction and biomarker discovery. Briefings Bioinform. 25(3) (2024) - [j343]Zhongyin Xu, Xiujuan Lei, Mei Ma, Yi Pan:
Molecular Generation and Optimization of Molecular Properties Using a Transformer Model. Big Data Min. Anal. 7(1): 142-155 (2024) - [j342]Mini Han Wang, Lumin Xing, Yi Pan, Feng Gu, Junbin Fang, Xiangrong Yu, Chi Pui Pang, Kelvin Kam Lung Chong, Carol Yim-lui Cheung, Xu-Lin Liao, Xiaoxiao Fang, Jie Yang, Ruoyu Zhou, Xiaoshu Zhou, Fengling Wang, Wenjian Liu:
AI-Based Advanced Approaches and Dry Eye Disease Detection Based on Multi-Source Evidence: Cases, Applications, Issues, and Future Directions. Big Data Min. Anal. 7(2): 445-484 (2024) - [j341]Ruimin Ma, Ruitao Xie, Yanlin Wang, Jintao Meng, Yanjie Wei, Yunpeng Cai, Wenhui Xi, Yi Pan:
Autism Spectrum Disorder Classification with Interpretability in Children Based on Structural MRI Features Extracted Using Contrastive Variational Autoencoder. Big Data Min. Anal. 7(3): 781-793 (2024) - [j340]Jin Liu, Xu Tian, Hanhe Lin, Hong-Dong Li, Yi Pan:
Multi-Task Learning for Alzheimer's Disease Diagnosis and Mini-Mental State Examination Score Prediction. Big Data Min. Anal. 7(3): 828-842 (2024) - [j339]Xuelei Li, Zhichao Wang, Yi Pan, Jintao Meng, Shengzhong Feng, Yanjie Wei:
Distributed Heterogeneous Spiking Neural Network Simulator Using Sunway Accelerators. Big Data Min. Anal. 7(4): 1301-1320 (2024) - [j338]Yi Pan, Lei Xie, Hongye Su:
Importance-Weighted Transfer Learning for Fault Classification under Covariate Shift. Intell. Autom. Soft Comput. 39(4): 683-696 (2024) - [j337]Zhenxiang Xiao, Yuzhong Chen, Junjie Yao, Lu Zhang, Zhengliang Liu, Zihao Wu, Xiaowei Yu, Yi Pan, Lin Zhao, Chong Ma, Xinyu Liu, Wei Liu, Xiang Li, Yixuan Yuan, Dinggang Shen, Dajiang Zhu, Dezhong Yao, Tianming Liu, Xi Jiang:
Instruction-ViT: Multi-modal prompts for instruction learning in vision transformer. Inf. Fusion 104: 102204 (2024) - [j336]Xiaokang Zhou, Wang Huang, Wei Liang, Zheng Yan, Jianhua Ma, Yi Pan, Kevin I-Kai Wang:
Federated distillation and blockchain empowered secure knowledge sharing for Internet of medical Things. Inf. Sci. 662: 120217 (2024) - [j335]Mikail Mohammed Salim, Yi Pan, Jong Hyuk Park:
Energy-efficient resource allocation in blockchain-based Cybertwin-driven 6G. J. Ambient Intell. Humaniz. Comput. 15(1): 103-114 (2024) - [j334]Xiaokang Zhou, Qiuyue Yang, Xuzhe Zheng, Wei Liang, Kevin I-Kai Wang, Jianhua Ma, Yi Pan, Qun Jin:
Personalized Federated Learning With Model-Contrastive Learning for Multi-Modal User Modeling in Human-Centric Metaverse. IEEE J. Sel. Areas Commun. 42(4): 817-831 (2024) - [j333]Tian Lan, Shuquan Su, Pengyao Ping, Gyorgy Hutvagner, Tao Liu, Yi Pan, Jinyan Li:
Generating mutants of monotone affinity towards stronger protein complexes through adversarial learning. Nat. Mac. Intell. 6(3): 315-325 (2024) - [j332]Wei Lan, Tongsheng Ling, Qingfeng Chen, Ruiqing Zheng, Min Li, Yi Pan:
scMoMtF: An interpretable multitask learning framework for single-cell multi-omics data analysis. PLoS Comput. Biol. 20(12): 1012679 (2024) - [j331]Wei Lan, Chunling Li, Qingfeng Chen, Ning Yu, Yi Pan, Yu Zheng, Yi-Ping Phoebe Chen:
LGCDA: Predicting CircRNA-Disease Association Based on Fusion of Local and Global Features. IEEE ACM Trans. Comput. Biol. Bioinform. 21(5): 1413-1422 (2024) - [j330]Changhong Jing, Yanyan Shen, Shen Zhao, Yi Pan, C. L. Philip Chen, Baiying Lei, Shuqiang Wang:
Estimating Addiction-Related Brain Connectivity by Prior-Embedding Graph Generative Adversarial Networks. IEEE Trans. Cybern. 54(9): 5026-5039 (2024) - [j329]Zhengmin Jiang, Jia Liu, Peng Sun, Ming Sang, Huiyun Li, Yi Pan:
Generation of Risky Scenarios for Testing Automated Driving Visual Perception Based on Causal Analysis. IEEE Trans. Intell. Transp. Syst. 25(11): 15991-16004 (2024) - [j328]Zhengmin Jiang, Wenbo Pan, Jia Liu, Yunjie Han, Zhongming Pan, Huiyun Li, Yi Pan:
Enhancing Autonomous Vehicle Safety Based on Operational Design Domain Definition, Monitoring, and Functional Degradation: A Case Study on Lane Keeping System. IEEE Trans. Intell. Veh. 9(10): 6552-6566 (2024) - [j327]Zheyu Zhao, Hao Cheng, Xiaohua Xu, Yi Pan:
Graph Partition and Multiple Choice-UCB Based Algorithms for Edge Server Placement in MEC Environment. IEEE Trans. Mob. Comput. 23(5): 4050-4061 (2024) - [j326]Wei Lan, Tianchuan Yang, Qingfeng Chen, Shichao Zhang, Yi Dong, Huiyu Zhou, Yi Pan:
Multiview Subspace Clustering via Low-Rank Symmetric Affinity Graph. IEEE Trans. Neural Networks Learn. Syst. 35(8): 11382-11395 (2024) - [c234]Yulian Ding, Yi Pan, Ronald C. Geyer, Franco J. Vizeacoumar, Frederick S. Vizeacoumar, Fang-Xiang Wu:
Deciphering Bladder Cancer-Related circRNA Biomarkers: An Ensemble Model Integrating Deep Learning and Statistics for circRNA Analysis. BCB 2024: 2:1-2:10 - [c233]Wei Lan, Wenyi Chen, Chunling Li, Qingfeng Chen, Yi-Ping Phoebe Chen, Yi Pan:
GCLNSTDA: Predicting tsRNA-Disease Association Based on Contrastive Learning and Negative Sampling. BCB 2024: 8:1-8:7 - [c232]Yuchen Zhang, Xiujuan Lei, Zhengfeng Wang, Yi Pan:
ICDFGF: Identification of potential circRNA-disease associations based on feature graph factorization. BCB 2024: 9:1-9:10 - [c231]Ying Shi, Shifu Luo, Yi Pan, Hao Wu, Wenjian Wang, Jinyan Li:
Spatiotemporal attention boosts calling of complicated variations from long reads' alignment data. BCB 2024: 19:1-19:10 - [c230]Hui Peng, Xiaocai Zhang, Yuansheng Liu, Yi Pan, Wilson Wen Bin Goh, Jinyan Li:
Optimal protospacer sequences recommended by ensemble deep learning for high-efficiency base editing. BCB 2024: 31:1-31:10 - [c229]Lei Chu, Hongyan Wu, Yi Pan:
ChatASD: A Dialogue Framework for LLMs Enhanced by Autism Knowledge Graph Retrieval. BCB 2024: 36:1-36:8 - [c228]Mingzhe Cui, Tao Chen, Yang Jiao, Qian Zheng, Yi Pan, Lei Xie:
PMSA-Net: A parallel multi-scale attention network for MI-BCI classification. BCB 2024: 54:1-54:6 - [c227]Wondimagegn Bekele Munto, Mengying Zhou, Yi Pan, Yanjie Wei, Wenhui Xi:
Deep Learning for Autism Spectrum Disorder Identification Based on Children's Facial Images: A Multi-Feature Fusion Perspective. BCB 2024: 74:1 - [c226]Ruimin Ma, Ying Huang, Yi Pan, Yanlin Wang, Yanjie Wei:
Meta-data Study in Autism Spectrum Disorder Classification Based on Structural MRI. BCB 2024: 75:1 - [c225]Hanqi Jiang, Xixuan Hao, Yuzhou Huang, Chong Ma, Jiaxun Zhang, Yi Pan, Ruimao Zhang:
Advancing Medical Radiograph Representation Learning: A Hybrid Pre-training Paradigm with Multilevel Semantic Granularity. ECCV Workshops (16) 2024: 16-33 - [c224]Ming Chen, Zitao Hu, Xiujuan Lei, Chunyan Ji, Zhao Tong, Yi Pan:
Multi-filter Based Signed Graph Convolutional Networks for Predicting Interactions on Drug Networks. ISBRA (2) 2024: 315-326 - [c223]Wei Lan, Weihao Zhou, Qingfeng Chen, Ruiqing Zheng, Yi Pan, Yi-Ping Phoebe Chen:
Modeling Single-Cell ATAC-Seq Data Based on Contrastive Learning. ISBRA (1) 2024: 473-482 - [c222]Zhengmin Jiang, Jia Liu, Ming Sang, Huiyun Li, Yi Pan:
Critical Test Cases Generalization for Autonomous Driving Object Detection Algorithms. IV 2024: 1149-1156 - [c221]Zhengmin Jiang, Jia Liu, Huiyun Li, Yi Pan:
Efficient and Unbiased Safety Test for Autonomous Driving Systems. IV 2024: 3156 - [e17]Hai Jin, Yi Pan, Jianfeng Lu:
Artificial Intelligence and Machine Learning - First International Artificial Intelligence Conference, IAIC 2023, Nanjing, China, November 25-27, 2023, Revised Selected Papers, Part I. Communications in Computer and Information Science 2058, Springer 2024, ISBN 978-981-97-1276-2 [contents] - [e16]Hai Jin, Yi Pan, Jianfeng Lu:
Data Science and Information Security - First International Artificial Intelligence Conference, IAIC 2023, Nanjing, China, November 25-27, 2023, Revised Selected Papers, Part II. Communications in Computer and Information Science 2059, Springer 2024, ISBN 978-981-97-1279-3 [contents] - [e15]Hai Jin, Yi Pan, Jianfeng Lu:
Computer Networks and IoT - First International Artificial Intelligence Conference, IAIC 2023, Nanjing, China, November 25-27, 2023, Revised Selected Papers, Part III. Communications in Computer and Information Science 2060, Springer 2024, ISBN 978-981-97-1331-8 [contents] - [i45]Yiheng Liu, Hao He, Tianle Han, Xu Zhang, Mengyuan Liu, Jiaming Tian, Yutong Zhang, Jiaqi Wang, Xiaohui Gao, Tianyang Zhong, Yi Pan, Shaochen Xu, Zihao Wu, Zhengliang Liu, Xin Zhang, Shu Zhang, Xintao Hu, Tuo Zhang, Ning Qiang, Tianming Liu, Bao Ge:
Understanding LLMs: A Comprehensive Overview from Training to Inference. CoRR abs/2401.02038 (2024) - [i44]Peng Shu, Huaqin Zhao, Hanqi Jiang, Yiwei Li, Shaochen Xu, Yi Pan, Zihao Wu, Zhengliang Liu, Guoyu Lu, Le Guan, Gong Chen, Xianqiao Wang, Tianming Liu:
LLMs for Coding and Robotics Education. CoRR abs/2402.06116 (2024) - [i43]Yutong Zhang, Yi Pan, Tianyang Zhong, Peixin Dong, Kangni Xie, Yuxiao Liu, Hanqi Jiang, Zhengliang Liu, Shijie Zhao, Tuo Zhang, Xi Jiang, Dinggang Shen, Tianming Liu, Xin Zhang:
Potential of Multimodal Large Language Models for Data Mining of Medical Images and Free-text Reports. CoRR abs/2407.05758 (2024) - [i42]Jiaqi Wang, Hanqi Jiang, Yiheng Liu, Chong Ma, Xu Zhang, Yi Pan, Mengyuan Liu, Peiran Gu, Sichen Xia, Wenjun Li, Yutong Zhang, Zihao Wu, Zhengliang Liu, Tianyang Zhong, Bao Ge, Tuo Zhang, Ning Qiang, Xintao Hu, Xi Jiang, Xin Zhang, Wei Zhang, Dinggang Shen, Tianming Liu, Shu Zhang:
A Comprehensive Review of Multimodal Large Language Models: Performance and Challenges Across Different Tasks. CoRR abs/2408.01319 (2024) - [i41]Tianyang Zhong, Zhengliang Liu, Yi Pan, Yutong Zhang, Yifan Zhou, Shizhe Liang, Zihao Wu, Yanjun Lyu, Peng Shu, Xiaowei Yu, Chao Cao, Hanqi Jiang, Hanxu Chen, Yiwei Li, Junhao Chen, Huawen Hu, Yihen Liu, Huaqin Zhao, Shaochen Xu, Haixing Dai, Lin Zhao, Ruidong Zhang, Wei Zhao, Zhenyuan Yang, Jingyuan Chen, Peilong Wang, Wei Ruan, Hui Wang, Huan Zhao, Jing Zhang, Yiming Ren, Shihuan Qin, Tong Chen, Jiaxi Li, Arif Hassan Zidan, Afrar Jahin, Minheng Chen, Sichen Xia, Jason Holmes, Yan Zhuang, Jiaqi Wang, Bochen Xu, Weiran Xia, Jichao Yu, Kaibo Tang, Yaxuan Yang, Bolun Sun, Tao Yang, Guoyu Lu, Xianqiao Wang, Lilong Chai, He Li, Jin Lu, Lichao Sun, Xin Zhang, Bao Ge, Xintao Hu, Lian Zhang, Hua Zhou, Lu Zhang, Shu Zhang, Ninghao Liu, Bei Jiang, Linglong Kong, Zhen Xiang, Yudan Ren, Jun Liu, Xi Jiang, Yu Bao, Wei Zhang, Xiang Li, Gang Li, Wei Liu, Dinggang Shen, Andrea Sikora, Xiaoming Zhai, Dajiang Zhu, Tianming Liu:
Evaluation of OpenAI o1: Opportunities and Challenges of AGI. CoRR abs/2409.18486 (2024) - [i40]Hanqi Jiang, Xixuan Hao, Yuzhou Huang, Chong Ma, Jiaxun Zhang, Yi Pan, Ruimao Zhang:
Advancing Medical Radiograph Representation Learning: A Hybrid Pre-training Paradigm with Multilevel Semantic Granularity. CoRR abs/2410.00448 (2024) - [i39]Yiwei Li, Sekeun Kim, Zihao Wu, Hanqi Jiang, Yi Pan, Pengfei Jin, Sifan Song, Yucheng Shi, Tianming Liu, Quanzheng Li, Xiang Li:
ECHOPulse: ECG controlled echocardio-grams video generation. CoRR abs/2410.03143 (2024) - [i38]Yi Pan, Hanqi Jiang, Junhao Chen, Yiwei Li, Huaqin Zhao, Yifan Zhou, Peng Shu, Zihao Wu, Zhengliang Liu, Dajiang Zhu, Xiang Li, Yohannes Abate, Tianming Liu:
EG-SpikeFormer: Eye-Gaze Guided Transformer on Spiking Neural Networks for Medical Image Analysis. CoRR abs/2410.09674 (2024) - [i37]Wei Lan, Wenyi Chen, Qingfeng Chen, Shirui Pan, Huiyu Zhou, Yi Pan:
A Survey of Hallucination in Large Visual Language Models. CoRR abs/2410.15359 (2024) - [i36]Yiwei Li, Huaqin Zhao, Hanqi Jiang, Yi Pan, Zhengliang Liu, Zihao Wu, Peng Shu, Jie Tian, Tianze Yang, Shaochen Xu, Yanjun Lyu, Parker Blenk, Jacob Pence, Jason Rupram, Eliza Banu, Ninghao Liu, Linbing Wang, Wen-Zhan Song, Xiaoming Zhai, Kenan Song, Dajiang Zhu, Beiwen Li, Xianqiao Wang, Tianming Liu:
Large Language Models for Manufacturing. CoRR abs/2410.21418 (2024) - [i35]Huaqin Zhao, Jiaxi Li, Yi Pan, Shizhe Liang, Xiaofeng Yang, Wei Liu, Xiang Li, Fei Dou, Tianming Liu, Jin Lu:
HELENE: Hessian Layer-wise Clipping and Gradient Annealing for Accelerating Fine-tuning LLM with Zeroth-order Optimization. CoRR abs/2411.10696 (2024) - [i34]Peng Shu, Junhao Chen, Zhengliang Liu, Hui Wang, Zihao Wu, Tianyang Zhong, Yiwei Li, Huaqin Zhao, Hanqi Jiang, Yi Pan, Yifan Zhou, Constance Owl, Xiaoming Zhai, Ninghao Liu, Claudio Saunt, Tianming Liu:
Transcending Language Boundaries: Harnessing LLMs for Low-Resource Language Translation. CoRR abs/2411.11295 (2024) - [i33]Shaochen Xu, Yifan Zhou, Zhengliang Liu, Zihao Wu, Tianyang Zhong, Huaqin Zhao, Yiwei Li, Hanqi Jiang, Yi Pan, Junhao Chen, Jin Lu, Wei Zhang, Tuo Zhang, Lu Zhang, Dajiang Zhu, Xiang Li, Wei Liu, Quanzheng Li, Andrea Sikora, Xiaoming Zhai, Zhen Xiang, Tianming Liu:
Towards Next-Generation Medical Agent: How o1 is Reshaping Decision-Making in Medical Scenarios. CoRR abs/2411.14461 (2024) - [i32]Hanqi Jiang, Yi Pan, Junhao Chen, Zhengliang Liu, Yifan Zhou, Peng Shu, Yiwei Li, Huaqin Zhao, Stephen Mihm, Lewis C. Howe, Tianming Liu:
OracleSage: Towards Unified Visual-Linguistic Understanding of Oracle Bone Scripts through Cross-Modal Knowledge Fusion. CoRR abs/2411.17837 (2024) - [i31]Tianyang Zhong, Zhenyuan Yang, Zhengliang Liu, Ruidong Zhang, Yiheng Liu, Haiyang Sun, Yi Pan, Yiwei Li, Yifan Zhou, Hanqi Jiang, Junhao Chen, Tianming Liu:
Opportunities and Challenges of Large Language Models for Low-Resource Languages in Humanities Research. CoRR abs/2412.04497 (2024) - [i30]Junhao Chen, Peng Shu, Yiwei Li, Huaqin Zhao, Hanqi Jiang, Yi Pan, Yifan Zhou, Zhengliang Liu, Lewis C. Howe, Tianming Liu:
QueEn: A Large Language Model for Quechua-English Translation. CoRR abs/2412.05184 (2024) - 2023
- [j325]Jingjing Zhang, Huiling Zhang, Zhen Ju, Yin Peng, Yi Pan, Wenhui Xi, Yanjie Wei:
JCcirc: circRNA full-length sequence assembly through integrated junction contigs. Briefings Bioinform. 24(6) (2023) - [j324]Jiancheng Zhong, Zuohang Qu, Ying Zhong, Chao Tang, Yi Pan:
Continuous and Discrete Similarity Coefficient for Identifying Essential Proteins Using Gene Expression Data. Big Data Min. Anal. 6(2): 185-200 (2023) - [j323]Xuehong Wu, Junwen Duan, Yi Pan, Min Li:
Medical Knowledge Graph: Data Sources, Construction, Reasoning, and Applications. Big Data Min. Anal. 6(2): 201-217 (2023) - [j322]Jianping Liu, Xiujuan Lei, Yuchen Zhang, Yi Pan:
The prediction of molecular toxicity based on BiGRU and GraphSAGE. Comput. Biol. Medicine 153: 106524 (2023) - [j321]Nilesh Chakraborty, Jianqiang Li, Victor C. M. Leung, Samrat Mondal, Yi Pan, Chengwen Luo, Mithun Mukherjee:
Honeyword-based Authentication Techniques for Protecting Passwords: A Survey. ACM Comput. Surv. 55(8): 169:1-169:37 (2023) - [j320]Yajing Guo, Xiujuan Lei, Lian Liu, Yi Pan:
circ2CBA: prediction of circRNA-RBP binding sites combining deep learning and attention mechanism. Frontiers Comput. Sci. 17(5): 175904 (2023) - [j319]Yuchen Zhang, Xiujuan Lei, Cai Dai, Yi Pan, Fang-Xiang Wu:
Identify potential circRNA-disease associations through a multi-objective evolutionary algorithm. Inf. Sci. 647: 119437 (2023) - [j318]Zhichao Wang, Xuelei Li, Jianping Fan, Jintao Meng, Zhenli Lin, Yi Pan, Yanjie Wei:
SWsnn: A Novel Simulator for Spiking Neural Networks. J. Comput. Biol. 30(9): 951-960 (2023) - [j317]Haiping Zhang, Konda Mani Saravanan, Yanjie Wei, Yang Jiao, Yang Yang, Yi Pan, Xuli Wu, John Z. H. Zhang:
Deep Learning-Based Bioactive Therapeutic Peptide Generation and Screening. J. Chem. Inf. Model. 63(3): 835-845 (2023) - [j316]Wei Peng, Ming Liu, Wei Dai, Tielin Chen, Yu Fu, Yi Pan:
Multi-View Feature Aggregation for Predicting Microbe-Disease Association. IEEE ACM Trans. Comput. Biol. Bioinform. 20(5): 2748-2758 (2023) - [j315]Yueyue Wang, Xiujuan Lei, Yi Pan:
Microbe-Disease Association Prediction Using RGCN Through Microbe-Drug-Disease Network. IEEE ACM Trans. Comput. Biol. Bioinform. 20(6): 3353-3362 (2023) - [j314]Yu-Dong Zhang, Juan Manuel Górriz, Yi Pan, Oscar Cordón:
Guest Editorial Special Issue on Explainable Deep Learning for Medical Image Processing and Analysis. IEEE Trans. Emerg. Top. Comput. Intell. 7(1): 2-4 (2023) - [j313]Zhengmin Jiang, Wenbo Pan, Jia Liu, Shaobo Dang, Zhiheng Yang, Huiyun Li, Yi Pan:
Efficient and Unbiased Safety Test for Autonomous Driving Systems. IEEE Trans. Intell. Veh. 8(5): 3336-3348 (2023) - [c220]Junbin Mao, Hanhe Lin, Xu Tian, Yi Pan, Jin Liu:
FedGST: Federated Graph Spatio-Temporal Framework for Brain Functional Disease Prediction. BIBM 2023: 1356-1361 - [c219]Keliang Zhao, Jovial Niyogisubizo, Linxia Xiao, Yi Pan, Dongqing Wei, Didi Rosiyadi, Yanjie Wei:
A Novel Deep Learning Approach Featuring Graph-Based Algorithm for Cell Segmentation and Tracking. BIBM 2023: 1752-1757 - [c218]Laizhong Cui, Sudipta Acharya, Sumit Mishra, Yi Pan, Joshua Zhexue Huang:
MMCo-Clus - An Evolutionary Co-clustering Algorithm for Gene Selection (Extended abstract). ICDE 2023: 3875-3876 - [c217]Jin Liu, Jianchun Zhu, Xu Tian, Junbin Mao, Yi Pan:
Multi-atlas Representations Based on Graph Convolutional Networks for Autism Spectrum Disorder Diagnosis. PRCV (13) 2023: 460-471 - [i29]Junbin Mao, Jin Liu, Hanhe Lin, Hulin Kuang, Shirui Pan, Yi Pan:
Multi-modal Multi-kernel Graph Learning for Autism Prediction and Biomarker Discovery. CoRR abs/2303.03388 (2023) - [i28]Zhenxiang Xiao, Yuzhong Chen, Lu Zhang, Junjie Yao, Zihao Wu, Xiaowei Yu, Yi Pan, Lin Zhao, Chong Ma, Xinyu Liu, Wei Liu, Xiang Li, Yixuan Yuan, Dinggang Shen, Dajiang Zhu, Tianming Liu, Xi Jiang:
Instruction-ViT: Multi-Modal Prompts for Instruction Learning in ViT. CoRR abs/2305.00201 (2023) - [i27]Qiankun Zuo, Baiying Lei, Ning Zhong, Yi Pan, Shuqiang Wang:
Brain Structure-Function Fusing Representation Learning using Adversarial Decomposed-VAE for Analyzing MCI. CoRR abs/2305.14404 (2023) - [i26]Sunitha Basodi, Krishna Pusuluri, Xueli Xiao, Yi Pan:
Intelligent gradient amplification for deep neural networks. CoRR abs/2305.18445 (2023) - [i25]Jiaqi Wang, Zhengliang Liu, Lin Zhao, Zihao Wu, Chong Ma, Sigang Yu, Haixing Dai, Qiushi Yang, Yiheng Liu, Songyao Zhang, Enze Shi, Yi Pan, Tuo Zhang, Dajiang Zhu, Xiang Li, Xi Jiang, Bao Ge, Yixuan Yuan, Dinggang Shen, Tianming Liu, Shu Zhang:
Review of Large Vision Models and Visual Prompt Engineering. CoRR abs/2307.00855 (2023) - [i24]Ruimin Ma, Ruitao Xie, Yanlin Wang, Jintao Meng, Yanjie Wei, Wenhui Xi, Yi Pan:
Autism Spectrum Disorder Classification in Children based on Structural MRI Features Extracted using Contrastive Variational Autoencoder. CoRR abs/2307.00976 (2023) - [i23]Zhengliang Liu, Tianyang Zhong, Yiwei Li, Yutong Zhang, Yi Pan, Zihao Zhao, Peixin Dong, Chao Cao, Yuxiao Liu, Peng Shu, Yaonai Wei, Zihao Wu, Chong Ma, Jiaqi Wang, Sheng Wang, Mengyue Zhou, Zuowei Jiang, Chunlin Li, Jason Holmes, Shaochen Xu, Lu Zhang, Haixing Dai, Kai Zhang, Lin Zhao, Yuanhao Chen, Xu Liu, Peilong Wang, Pingkun Yan, Jun Liu, Bao Ge, Lichao Sun, Dajiang Zhu, Xiang Li, Wei Liu, Xiaoyan Cai, Xintao Hu, Xi Jiang, Shu Zhang, Xin Zhang, Tuo Zhang, Shijie Zhao, Quanzheng Li, Hongtu Zhu, Dinggang Shen, Tianming Liu:
Evaluating Large Language Models for Radiology Natural Language Processing. CoRR abs/2307.13693 (2023) - [i22]Tianyang Zhong, Wei Zhao, Yutong Zhang, Yi Pan, Peixin Dong, Zuowei Jiang, Xiaoyan Kui, Youlan Shang, Li Yang, Yaonai Wei, Longtao Yang, Hao Chen, Huan Zhao, Yuxiao Liu, Ning Zhu, Yiwei Li, Yisong Wang, Jiaqi Yao, Jiaqi Wang, Ying Zeng, Lei He, Chao Zheng, Zhixue Zhang, Ming Li, Zhengliang Liu, Haixing Dai, Zihao Wu, Lu Zhang, Shu Zhang, Xiaoyan Cai, Xintao Hu, Shijie Zhao, Xi Jiang, Xin Zhang, Xiang Li, Dajiang Zhu, Lei Guo, Dinggang Shen, Junwei Han, Tianming Liu, Jun Liu, Tuo Zhang:
ChatRadio-Valuer: A Chat Large Language Model for Generalizable Radiology Report Generation Based on Multi-institution and Multi-system Data. CoRR abs/2310.05242 (2023) - [i21]Huan Zhao, Qian Ling, Yi Pan, Tianyang Zhong, Jinyu Hu, Junjie Yao, Fengqian Xiao, Zhenxiang Xiao, Yutong Zhang, San-Hua Xu, Shi-Nan Wu, Min Kang, Zihao Wu, Zhengliang Liu, Xi Jiang, Tianming Liu, Yi Shao:
Ophtha-LLaMA2: A Large Language Model for Ophthalmology. CoRR abs/2312.04906 (2023) - [i20]Zhengliang Liu, Hanqi Jiang, Tianyang Zhong, Zihao Wu, Chong Ma, Yiwei Li, Xiaowei Yu, Yutong Zhang, Yi Pan, Peng Shu, Yanjun Lyu, Lu Zhang, Junjie Yao, Peixin Dong, Chao Cao, Zhenxiang Xiao, Jiaqi Wang, Huan Zhao, Shaochen Xu, Yaonai Wei, Jingyuan Chen, Haixing Dai, Peilong Wang, Hao He, Zewei Wang, Xinyu Wang, Xu Zhang, Lin Zhao, Yiheng Liu, Kai Zhang, Liheng Yan, Lichao Sun, Jun Liu, Ning Qiang, Bao Ge, Xiaoyan Cai, Shijie Zhao, Xintao Hu, Yixuan Yuan, Gang Li, Shu Zhang, Xin Zhang, Xi Jiang, Tuo Zhang, Dinggang Shen, Quanzheng Li, Wei Liu, Xiang Li, Dajiang Zhu, Tianming Liu:
Holistic Evaluation of GPT-4V for Biomedical Imaging. CoRR abs/2312.05256 (2023) - 2022
- [j312]Wei Lan, Yi Dong, Qingfeng Chen, Ruiqing Zheng, Jin Liu, Yi Pan, Yi-Ping Phoebe Chen:
KGANCDA: predicting circRNA-disease associations based on knowledge graph attention network. Briefings Bioinform. 23(1) (2022) - [j311]Haiping Zhang, Konda Mani Saravanan, Yang Yang, Yanjie Wei, Yi Pan, John Z. H. Zhang:
Generating and screening de novo compounds against given targets using ultrafast deep learning models as core components. Briefings Bioinform. 23(4) (2022) - [j310]Fangyu Zhang, Yanjie Wei, Jin Liu, Yanlin Wang, Wenhui Xi, Yi Pan:
Identification of Autism spectrum disorder based on a novel feature selection method and Variational Autoencoder. Comput. Biol. Medicine 148: 105854 (2022) - [j309]Sushil Kumar Singh, Jong Hyuk Park, Pradip Kumar Sharma, Yi Pan:
BIIoVT: Blockchain-Based Secure Storage Architecture for Intelligent Internet of Vehicular Things. IEEE Consumer Electron. Mag. 11(6): 75-82 (2022) - [j308]Zhipeng Cai, Zuobin Xiong, Honghui Xu, Peng Wang, Wei Li, Yi Pan:
Generative Adversarial Networks: A Survey Toward Private and Secure Applications. ACM Comput. Surv. 54(6): 132:1-132:38 (2022) - [j307]Zhen Ju, Huiling Zhang, Jintao Meng, Jingjing Zhang, Jianping Fan, Yi Pan, Weiguo Liu, Xuelei Li, Yanjie Wei:
nGIA: A novel Greedy Incremental Alignment based algorithm for gene sequence clustering. Future Gener. Comput. Syst. 136: 221-230 (2022) - [j306]Chunyan Fan, Xiujuan Lei, Jiaojiao Tie, Yuchen Zhang, Fang-Xiang Wu, Yi Pan:
CircR2Disease v2.0: An Updated Web Server for Experimentally Validated circRNA-disease Associations and Its Application. Genom. Proteom. Bioinform. 20(3): 435-445 (2022) - [j305]Ming Yan, Jianxi Yang, Cen Chen, Joey Tianyi Zhou, Yi Pan, Zeng Zeng:
Enhanced gradient learning for deep neural networks. IET Image Process. 16(2): 365-377 (2022) - [j304]Yang Li, Yi Pan:
A novel ensemble deep learning model for stock prediction based on stock prices and news. Int. J. Data Sci. Anal. 13(2): 139-149 (2022) - [j303]Ming Yan, Yi Pan:
Meta-learning for compressed language model: A multiple choice question answering study. Neurocomputing 487: 181-189 (2022) - [j302]Nilesh Chakraborty, Mithun Mukherjee, Jianqiang Li, Mohammad Shojafar, Yi Pan:
Cryptanalysis of a Honeyword System in the IoT Platform. IEEE Internet Things J. 9(4): 2614-2626 (2022) - [j301]Nilesh Chakraborty, Yao Chao, Jianqiang Li, Sumit Mishra, Chengwen Luo, Ying He, Jie Chen, Yi Pan:
RTT-Based Rogue UAV Detection in IoV Networks. IEEE Internet Things J. 9(8): 5909-5919 (2022) - [j300]Zhongxing Ming, Jinshen Chen, Laizhong Cui, Shu Yang, Yi Pan, Wei Xiao, Lixin Zhou:
Edge-Based Video Surveillance With Graph-Assisted Reinforcement Learning in Smart Construction. IEEE Internet Things J. 9(12): 9249-9265 (2022) - [j299]Ming Chen, Wei Jiang, Yi Pan, Jianhua Dai, Yunwen Lei, Chunyan Ji:
SGFNNs: Signed Graph Filtering-based Neural Networks for Predicting Drug-Drug Interactions. J. Comput. Biol. 29(10): 1104-1116 (2022) - [j298]Xin Zhang, Siyuan Lu, Shui-Hua Wang, Xiang Yu, Su-Jing Wang, Lun Yao, Yi Pan, Yu-Dong Zhang:
Diagnosis of COVID-19 Pneumonia via a Novel Deep Learning Architecture. J. Comput. Sci. Technol. 37(2): 330-343 (2022) - [j297]Zhenkun Yang, Chuanhui Yang, Fusheng Han, Mingqiang Zhuang, Bing Yang, Zhifeng Yang, Xiaojun Cheng, Yuzhong Zhao, Wenhui Shi, Huafeng Xi, Huang Yu, Bin Liu, Yi Pan, Boxue Yin, Junquan Chen, Quanqing Xu:
OceanBase: A 707 Million tpmC Distributed Relational Database System. Proc. VLDB Endow. 15(12): 3385-3397 (2022) - [j296]Abir El Azzaoui, Haotian Chen, So Hyeon Kim, Yi Pan, Jong Hyuk Park:
Blockchain-Based Distributed Information Hiding Framework for Data Privacy Preserving in Medical Supply Chain Systems. Sensors 22(4): 1371 (2022) - [j295]Cheng Yan, Guihua Duan, Yayan Zhang, Fang-Xiang Wu, Yi Pan, Jianxin Wang:
Predicting Drug-Drug Interactions Based on Integrated Similarity and Semi-Supervised Learning. IEEE ACM Trans. Comput. Biol. Bioinform. 19(1): 168-179 (2022) - [j294]Sudipta Acharya, Laizhong Cui, Yi Pan:
A Refined 3-in-1 Fused Protein Similarity Measure: Application in Threshold-Free Hub Detection. IEEE ACM Trans. Comput. Biol. Bioinform. 19(1): 192-206 (2022) - [j293]Xiujuan Lei, Jiaojiao Tie, Yi Pan:
Inferring Metabolite-Disease Association Using Graph Convolutional Networks. IEEE ACM Trans. Comput. Biol. Bioinform. 19(2): 688-698 (2022) - [j292]Jianhong Cheng, Jin Liu, Hailin Yue, Harrison X. Bai, Yi Pan, Jianxin Wang:
Prediction of Glioma Grade Using Intratumoral and Peritumoral Radiomic Features From Multiparametric MRI Images. IEEE ACM Trans. Comput. Biol. Bioinform. 19(2): 1084-1095 (2022) - [j291]Yueyue Wang, Xiujuan Lei, Cheng Lu, Yi Pan:
Predicting Microbe-Disease Association Based on Multiple Similarities and LINE Algorithm. IEEE ACM Trans. Comput. Biol. Bioinform. 19(4): 2399-2408 (2022) - [j290]Zhe Sun, Shuangjia Zheng, Huiying Zhao, Zhangming Niu, Yutong Lu, Yi Pan, Yuedong Yang:
To Improve Prediction of Binding Residues With DNA, RNA, Carbohydrate, and Peptide Via Multi-Task Deep Neural Networks. IEEE ACM Trans. Comput. Biol. Bioinform. 19(6): 3735-3743 (2022) - [j289]Wei Liang, Yiyong Hu, Xiaokang Zhou, Yi Pan, Kevin I-Kai Wang:
Variational Few-Shot Learning for Microservice-Oriented Intrusion Detection in Distributed Industrial IoT. IEEE Trans. Ind. Informatics 18(8): 5087-5095 (2022) - [j288]Laizhong Cui, Sudipta Acharya, Sumit Mishra, Yi Pan, Joshua Zhexue Huang:
MMCo-Clus - An Evolutionary Co-clustering Algorithm for Gene Selection. IEEE Trans. Knowl. Data Eng. 34(9): 4371-4384 (2022) - [j287]Yulei Wu, Yi Pan, Payam M. Barnaghi, Zhiyuan Tan, Jingguo Ge, Hao Wang:
Editorial: Big data technologies and applications. Wirel. Networks 28(3): 1163-1167 (2022) - [c216]Chunyan Ji, Yang Jiao, Ming Chen, Yi Pan:
Infant Cry Classification Based-On Feature Fusion and Mel-Spectrogram Decomposition with CNNs. AIMS 2022: 126-134 - [c215]Wei Lan, Jin Ye, Xun Sun, Xiaoshu Zhu, Qingfeng Chen, Yi Pan:
scIAC: clustering scATAC-seq data based on Student's t-distribution similarity imputation and denoising autoencoder. BIBM 2022: 206-211 - [c214]Wei Peng, Piaofang Yu, Wei Dai, Xiaodong Fu, Li Liu, Yi Pan:
Identification of personalized driver genes for individuals using graph convolution network. BIBM 2022: 523-528 - [c213]Jiancheng Zhong, Jiedong Kang, Xingran Song, Qiu Xiao, Yi Pan:
Prediction of miRNA and Disease Association based on Graph Convolution Network using Latent Feature Vector by Positive Samples. BIBM 2022: 706-711 - [c212]Jin Liu, Hao Du, Qian Bi, Haiyan Liao, Yi Pan:
MEST: Multi-plane Embedding and Spatial-temporal Transformer for Parkinson's disease diagnosis. BIBM 2022: 1072-1077 - [c211]Junbin Mao, Yu Sheng, Wei Lan, Xu Tian, Jin Liu, Yi Pan:
Graph Convolutional Networks Based on Relational Attention Mechanism for Autism Spectrum Disorders Diagnosis. ICIRA (1) 2022: 341-348 - [c210]Ping Han, Jingwei Hong, Abdur Rasool, Hui Chen, Yi Pan, Qingshan Jiang:
A Hybrid Recommendation Model for Social Network Services Using Twitter Data. ICWS 2022: 122-129 - [c209]Zhichao Wang, Xuelei Li, Jintao Meng, Yi Pan, Yanjie Wei:
Simulating Spiking Neural Networks Based on SW26010pro. ISBRA 2022: 356-368 - [e14]Yi Pan, Zhi-Hong Mao, Lei Luo, Jing Zeng, Liang-Jie Zhang:
Artificial Intelligence and Mobile Services - AIMS 2021 - 10th International Conference, Held as Part of the Services Conference Federation, SCF 2021, Virtual Event, December 10-14, 2021, Proceedings. Lecture Notes in Computer Science 12987, Springer 2022, ISBN 978-3-030-96032-2 [contents] - [e13]Joshua Zhexue Huang, Yi Pan, Barbara Hammer, Muhammad Khurram Khan, Xing Xie, Laizhong Cui, Yulin He:
9th IEEE International Conference on Data Science and Advanced Analytics, DSAA 2022, Shenzhen, China, October 13-16, 2022. IEEE 2022, ISBN 978-1-6654-7330-9 [contents] - [i19]Fangyu Zhang, Yanjie Wei, Jin Liu, Yanlin Wang, Wenhui Xi, Yi Pan:
Identification of Autism spectrum disorder based on a novel feature selection method and Variational Autoencoder. CoRR abs/2204.03654 (2022) - [i18]Ruimin Ma, Yanlin Wang, Yanjie Wei, Yi Pan:
Meta-data Study in Autism Spectrum Disorder Classification Based on Structural MRI. CoRR abs/2206.05052 (2022) - 2021
- [j286]Xiujuan Lei, Thosini Bamunu Mudiyanselage, Yuchen Zhang, Chen Bian, Wei Lan, Ning Yu, Yi Pan:
A comprehensive survey on computational methods of non-coding RNA and disease association prediction. Briefings Bioinform. 22(4) (2021) - [j285]Chunyan Ji, Thosini Bamunu Mudiyanselage, Yutong Gao, Yi Pan:
A review of infant cry analysis and classification. EURASIP J. Audio Speech Music. Process. 2021(1): 1-17 (2021) - [j284]Nilesh Chakraborty, Jian-Qiang Li, Samrat Mondal, Chengwen Luo, Huihui Wang, Mamoun Alazab, Fei Chen, Yi Pan:
On Designing a Lesser Obtrusive Authentication Protocol to Prevent Machine-Learning-Based Threats in Internet of Things. IEEE Internet Things J. 8(5): 3255-3267 (2021) - [j283]Xueli Xiao, Guanhao Wei, Li Zhou, Yi Pan, Huan Jing, Emily Zhao, Yilian Yuan:
Treatment initiation prediction by EHR mapped PPD tensor based convolutional neural networks boosting algorithm. J. Biomed. Informatics 120: 103840 (2021) - [j282]Yi Pan, De-Shuang Huang, Jian-Xin Wang, Fa Zhang:
Preface. J. Comput. Sci. Technol. 36(2): 231-233 (2021) - [j281]Xiujuan Lei, Chen Bian, Yi Pan:
Predicting CircRNA-Disease Associations Based on Improved Weighted Biased Meta-Structure. J. Comput. Sci. Technol. 36(2): 288-298 (2021) - [j280]Dohyun Kim, Jungho Kang, Tae Woo Kim, Yi Pan, Jong Hyuk Park:
The Future of Quantum Information: Challenges and Vision. J. Inf. Process. Syst. 17(1): 151-162 (2021) - [j279]Laizhong Cui, Xiaoxin Su, Yipeng Zhou, Yi Pan:
Slashing Communication Traffic in Federated Learning by Transmitting Clustered Model Updates. IEEE J. Sel. Areas Commun. 39(8): 2572-2589 (2021) - [j278]Yuchen Zhang, Xiujuan Lei, Yi Pan, Witold Pedrycz:
Prediction of disease-associated circRNAs via circRNA-disease pair graph and weighted nuclear norm minimization. Knowl. Based Syst. 214: 106694 (2021) - [j277]Min Zeng, Min Li, Zhihui Fei, Fang-Xiang Wu, Yaohang Li, Yi Pan, Jianxin Wang:
A Deep Learning Framework for Identifying Essential Proteins by Integrating Multiple Types of Biological Information. IEEE ACM Trans. Comput. Biol. Bioinform. 18(1): 296-305 (2021) - [j276]Ruiqing Zheng, Min Li, Xiang Chen, Siyu Zhao, Fang-Xiang Wu, Yi Pan, Jianxin Wang:
An Ensemble Method to Reconstruct Gene Regulatory Networks Based on Multivariate Adaptive Regression Splines. IEEE ACM Trans. Comput. Biol. Bioinform. 18(1): 347-354 (2021) - [j275]Yunpei Xu, Hong-Dong Li, Yi Pan, Feng Luo, Fang-Xiang Wu, Jianxin Wang:
A Gene Rank Based Approach for Single Cell Similarity Assessment and Clustering. IEEE ACM Trans. Comput. Biol. Bioinform. 18(2): 431-442 (2021) - [j274]Huimin Luo, Jianxin Wang, Cheng Yan, Min Li, Fang-Xiang Wu, Yi Pan:
A Novel Drug Repositioning Approach Based on Collaborative Metric Learning. IEEE ACM Trans. Comput. Biol. Bioinform. 18(2): 463-471 (2021) - [j273]Cheng Yan, Guihua Duan, Fang-Xiang Wu, Yi Pan, Jianxin Wang:
MCHMDA: Predicting Microbe-Disease Associations Based on Similarities and Low-Rank Matrix Completion. IEEE ACM Trans. Comput. Biol. Bioinform. 18(2): 611-620 (2021) - [j272]Zhen Zhang, Junwei Luo, Juan Shang, Min Li, Fang-Xiang Wu, Yi Pan, Jianxin Wang:
Deletion Detection Method Using the Distribution of Insert Size and a Precise Alignment Strategy. IEEE ACM Trans. Comput. Biol. Bioinform. 18(3): 1070-1081 (2021) - [j271]Dong-Qing Wei, Aman Chandra Kaushik, Gurudeeban Selvaraj, Yi Pan:
Editorial: Computational Genomics and Molecular Medicine for Emerging COVID-19. IEEE ACM Trans. Comput. Biol. Bioinform. 18(4): 1227-1229 (2021) - [j270]Aman Chandra Kaushik, Aamir Mehmood, Gurudeeban Selvaraj, Xiaofeng Dai, Yi Pan, Dong-Qing Wei:
CoronaPep: An Anti-Coronavirus Peptide Generation Tool. IEEE ACM Trans. Comput. Biol. Bioinform. 18(4): 1299-1304 (2021) - [j269]Xingyu Liao, Min Li, Junwei Luo, You Zou, Fang-Xiang Wu, Yi Pan, Feng Luo, Jianxin Wang:
EPGA-SC : A Framework for de novo Assembly of Single-Cell Sequencing Reads. IEEE ACM Trans. Comput. Biol. Bioinform. 18(4): 1492-1503 (2021) - [j268]Fuhao Zhang, Hong Song, Min Zeng, Fang-Xiang Wu, Yaohang Li, Yi Pan, Min Li:
A Deep Learning Framework for Gene Ontology Annotations With Sequence- and Network-Based Information. IEEE ACM Trans. Comput. Biol. Bioinform. 18(6): 2208-2217 (2021) - [j267]Xiaokang Zhou, Wei Liang, Zijia Luo, Yi Pan:
Periodic-Aware Intelligent Prediction Model for Information Diffusion in Social Networks. IEEE Trans. Netw. Sci. Eng. 8(2): 894-904 (2021) - [j266]Laizhong Cui, Zhe Xiao, Jiahao Wang, Fei Chen, Yi Pan, Hua Dai, Jing Qin:
Improving Vaccine Safety Using Blockchain. ACM Trans. Internet Techn. 21(2): 38:1-38:24 (2021) - [c208]Haiping Zhang, Tingting Zhang, Konda Mani Saravanan, Linbu Liao, Hao Wu, Haishan Zhang, Huiling Zhang, Yi Pan, Xuli Wu, Yanjie Wei:
A novel virtual drug screening pipeline with deep-leaning as core component identifies inhibitor of pancreatic alpha-amylase. BIBM 2021: 104-111 - [c207]Qiming Chen, Xun Lang, Yi Pan, Yao Shi, Lei Xie, Hongye Su:
Detecting Multiple Plant-wide Oscillations in Process Control Systems Based on Multivariate Intrinsic Chirp Component Decomposition. CAA SAFEPROCESS 2021: 1-6 - [c206]Chunyan Ji, Ming Chen, Bin Li, Yi Pan:
Infant Cry Classification with Graph Convolutional Networks. ICCCS 2021: 322-327 - [c205]Zi Ye, Weichen Liu, Qiang Qu, Qingshan Jiang, Yi Pan:
A Cryptocurrency Price Prediction Model Based on Twitter Sentiment Indicators. ICBDS 2021: 411-425 - [c204]Yueyue Wang, Xiujuan Lei, Yi Pan:
Predicting Microbe-Disease Association via Tripartite Network and Relation Graph Convolutional Network. ISBRA 2021: 92-104 - [c203]Ming Chen, Yi Pan, Chunyan Ji:
Predicting Drug Drug Interactions by Signed Graph Filtering-Based Convolutional Networks. ISBRA 2021: 375-387 - [c202]Zhen Ju, Huiling Zhang, Jingtao Meng, Jingjing Zhang, Xuelei Li, Jianping Fan, Yi Pan, Weiguo Liu, Yanjie Wei:
An Efficient Greedy Incremental Sequence Clustering Algorithm. ISBRA 2021: 596-607 - [c201]Anish Acharya, Suranjit Adhikari, Sanchit Agarwal, Vincent Auvray, Nehal Belgamwar, Arijit Biswas, Shubhra Chandra, Tagyoung Chung, Maryam Fazel-Zarandi, Raefer Gabriel, Shuyang Gao, Rahul Goel, Dilek Hakkani-Tür, Jan Jezabek, Abhay Jha, Jiun-Yu Kao, Prakash Krishnan, Peter Ku, Anuj Goyal, Chien-Wei Lin, Qing Liu, Arindam Mandal, Angeliki Metallinou, Vishal Ishwar Naik, Yi Pan, Shachi Paul, Vittorio Perera, Abhishek Sethi, Minmin Shen, Nikko Strom, Eddie Wang:
Alexa Conversations: An Extensible Data-driven Approach for Building Task-oriented Dialogue Systems. NAACL-HLT (Demonstrations) 2021: 125-132 - [c200]Chunyan Ji, Yi Pan:
Infant Vocal Tract Development Analysis and Diagnosis by Cry Signals with CNN Age Classification. SpeD 2021: 37-41 - [i17]Chunyan Ji, Ming Chen, Bin Li, Yi Pan:
Infant Cry Classification with Graph Convolutional Networks. CoRR abs/2102.02909 (2021) - [i16]Anish Acharya, Suranjit Adhikari, Sanchit Agarwal, Vincent Auvray, Nehal Belgamwar, Arijit Biswas, Shubhra Chandra, Tagyoung Chung, Maryam Fazel-Zarandi, Raefer Gabriel, Shuyang Gao, Rahul Goel, Dilek Hakkani-Tür, Jan Jezabek, Abhay Jha, Jiun-Yu Kao, Prakash Krishnan, Peter Ku, Anuj Goyal, Chien-Wei Lin, Qing Liu, Arindam Mandal, Angeliki Metallinou, Vishal Ishwar Naik, Yi Pan, Shachi Paul, Vittorio Perera, Abhishek Sethi, Minmin Shen, Nikko Strom, Eddie Wang:
Alexa Conversations: An Extensible Data-driven Approach for Building Task-oriented Dialogue Systems. CoRR abs/2104.09088 (2021) - [i15]Chunyan Ji, Yi Pan:
Infant Vocal Tract Development Analysis and Diagnosis by Cry Signals with CNN Age Classification. CoRR abs/2104.11395 (2021) - [i14]Laizhong Cui, Xiaoxin Su, Yipeng Zhou, Yi Pan:
Slashing Communication Traffic in Federated Learning by Transmitting Clustered Model Updates. CoRR abs/2105.04153 (2021) - [i13]Thosini Bamunu Mudiyanselage, Nipuna Senanayake, Chunyan Ji, Yi Pan, Yanqing Zhang:
Covid-19 Detection from Chest X-ray and Patient Metadata using Graph Convolutional Neural Networks. CoRR abs/2105.09720 (2021) - [i12]Zhipeng Cai, Zuobin Xiong, Honghui Xu, Peng Wang, Wei Li, Yi Pan:
Generative Adversarial Networks: A Survey Towards Private and Secure Applications. CoRR abs/2106.03785 (2021) - 2020
- [j265]Abir El Azzaoui, Sushil Kumar Singh, Yi Pan, Jong Hyuk Park:
Block5GIntell: Blockchain for AI-Enabled 5G Networks. IEEE Access 8: 145918-145935 (2020) - [j264]Liangxiu Han, Daoqiang Zhang, Omer F. Rana, Yi Pan, Sohail Jabbar, Mazin Yousif, Moayad Aloqaily:
IEEE Access Special Section Editorial: Scalable Deep Learning for Big Data. IEEE Access 8: 216617-216622 (2020) - [j263]Dohyun Kim, Yi Pan, Jong Hyuk Park:
A Study on the Digital Forensic Investigation Method of Clever Malware in IoT Devices. IEEE Access 8: 224487-224499 (2020) - [j262]Sunitha Basodi, Chunyan Ji, Haiping Zhang, Yi Pan:
Gradient amplification: An efficient way to train deep neural networks. Big Data Min. Anal. 3(3): 196-207 (2020) - [j261]Yuchen Zhang, Xiujuan Lei, Zengqiang Fang, Yi Pan:
CircRNA-disease associations prediction based on metapath2vec++ and matrix factorization. Big Data Min. Anal. 3(4): 280-291 (2020) - [j260]Sudipta Acharya, Laizhong Cui, Yi Pan:
A consensus multi-view multi-objective gene selection approach for improved sample classification. BMC Bioinform. 21-S(13): 386 (2020) - [j259]Sudipta Acharya, Laizhong Cui, Yi Pan:
Multi-view feature selection for identifying gene markers: a diversified biological data driven approach. BMC Bioinform. 21-S(18): 483 (2020) - [j258]Chang Ruan, Jianxin Wang, Wanchun Jiang, Geyong Min, Yi Pan:
PTCP: A priority-based transport control protocol for timeout mitigation in commodity data center. Future Gener. Comput. Syst. 102: 619-632 (2020) - [j257]Jin Liu, Yi Pan, Fang-Xiang Wu, Jianxin Wang:
Enhancing the feature representation of multi-modal MRI data by combining multi-view information for MCI classification. Neurocomputing 400: 322-332 (2020) - [j256]Sunitha Basodi, Song Tan, WenZhan Song, Yi Pan:
Data integrity attack detection in smart grid: a deep learning approach. Int. J. Secur. Networks 15(1): 15-24 (2020) - [j255]Laizhong Cui, Shu Yang, Ziteng Chen, Yi Pan, Zhong Ming, Mingwei Xu:
A Decentralized and Trusted Edge Computing Platform for Internet of Things. IEEE Internet Things J. 7(5): 3910-3922 (2020) - [j254]Xiuchun Xiao, Chengze Jiang, Huiyan Lu, Long Jin, Dazhao Liu, Haoen Huang, Yi Pan:
A parallel computing method based on zeroing neural networks for time-varying complex-valued matrix Moore-Penrose inversion. Inf. Sci. 524: 216-228 (2020) - [j253]Zhao Tong, Xiaomei Deng, Feng Ye, Sunitha Basodi, Xueli Xiao, Yi Pan:
Adaptive computation offloading and resource allocation strategy in a mobile edge computing environment. Inf. Sci. 537: 116-131 (2020) - [j252]Shu Yang, Lu Bai, Laizhong Cui, Zhongxing Ming, Yulei Wu, Shui Yu, Hongfei Shen, Yi Pan:
An efficient pipeline processing scheme for programming Protocol-independent Packet Processors. J. Netw. Comput. Appl. 171: 102806 (2020) - [j251]Liangliang Liu, Shaowu Chen, Fuhao Zhang, Fang-Xiang Wu, Yi Pan, Jianxin Wang:
Deep convolutional neural network for automatically segmenting acute ischemic stroke lesion in multi-modality MRI. Neural Comput. Appl. 32(11): 6545-6558 (2020) - [j250]Haiping Zhang, Yang Yang, Junxin Li, Min Wang, Konda Mani Saravanan, Jinli Wei, Justin Tze-Yang Ng, Md. Tofazzal Hossain, Maoxuan Liu, Huiling Zhang, Xiaohu Ren, Yi Pan, Yin Peng, Yi Shi, Xiaochun Wan, Yingxia Liu, Yanjie Wei:
A novel virtual screening procedure identifies Pralatrexate as inhibitor of SARS-CoV-2 RdRp and it reduces viral replication in vitro. PLoS Comput. Biol. 16(12) (2020) - [j249]Xingyu Liao, Min Li, Junwei Luo, You Zou, Fang-Xiang Wu, Yi Pan, Feng Luo, Jianxin Wang:
Improving de novo Assembly Based on Read Classification. IEEE ACM Trans. Comput. Biol. Bioinform. 17(1): 177-188 (2020) - [j248]Xingyu Liao, Min Li, You Zou, Fang-Xiang Wu, Yi Pan, Jianxin Wang:
An Efficient Trimming Algorithm based on Multi-Feature Fusion Scoring Model for NGS Data. IEEE ACM Trans. Comput. Biol. Bioinform. 17(3): 728-738 (2020) - [j247]Min Li, Xiangmao Meng, Ruiqing Zheng, Fang-Xiang Wu, Yaohang Li, Yi Pan, Jianxin Wang:
Identification of Protein Complexes by Using a Spatial and Temporal Active Protein Interaction Network. IEEE ACM Trans. Comput. Biol. Bioinform. 17(3): 817-827 (2020) - [j246]Binbin Wu, Min Li, Xingyu Liao, Junwei Luo, Fang-Xiang Wu, Yi Pan, Jianxin Wang:
MEC: Misassembly Error Correction in Contigs based on Distribution of Paired-End Reads and Statistics of GC-contents. IEEE ACM Trans. Comput. Biol. Bioinform. 17(3): 847-857 (2020) - [j245]Junwei Luo, Jianxin Wang, Juan Shang, Huimin Luo, Min Li, Fang-Xiang Wu, Yi Pan:
GapReduce: A Gap Filling Algorithm Based on Partitioned Read Sets. IEEE ACM Trans. Comput. Biol. Bioinform. 17(3): 877-886 (2020) - [j244]Peng Ni, Jianxin Wang, Ping Zhong, Yaohang Li, Fang-Xiang Wu, Yi Pan:
Constructing Disease Similarity Networks Based on Disease Module Theory. IEEE ACM Trans. Comput. Biol. Bioinform. 17(3): 906-915 (2020) - [j243]Hui Jiang, Jianxin Wang, Min Li, Wei Lan, Fang-Xiang Wu, Yi Pan:
miRTRS: A Recommendation Algorithm for Predicting miRNA Targets. IEEE ACM Trans. Comput. Biol. Bioinform. 17(3): 1032-1041 (2020) - [j242]Gaoshi Li, Min Li, Jianxin Wang, Yaohang Li, Yi Pan:
United Neighborhood Closeness Centrality and Orthology for Predicting Essential Proteins. IEEE ACM Trans. Comput. Biol. Bioinform. 17(4): 1451-1458 (2020) - [j241]