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ORCIDXin Gao 0001
Person information
- affiliation: King Abdullah University of Science and Technology, Computer, Electrical and Mathematical Sciences and Engineering Division, Thuwal, Saudi Arabia
- affiliation (2009 - 2010): Carnegie Mellon University, School of Computer Science, Pittsburgh, PA, USA
- affiliation (PhD 2009): University of Waterloo, ON, Canada
Other persons with the same name
- Xin Gao — disambiguation page
- Xin Gao 0002 — University of Pennsylvania, Center for Bioinformatics / Department of Biology, Philadelphia, PA, USA (and 1 more)
- Xin Gao 0003
![[0000-0001-9906-0596]](https://dblp1.uni-trier.de/img/orcid-mark.12x12.png "0000-0001-9906-0596")
— Chinese Academy of Sciences, Suzhou Institute of Biomedical Engineering and Technology, Department of Medical Imaging, China (and 2 more) - Xin Gao 0004 — New Jersey Institute of Technology, Department of Computer Science, Newark, NJ, USA
- Xin Gao 0005 — University of Arizona, Department of Electrical and Computer Engineering, Tucson, AZ, USA
- Xin Gao 0006 — University of Western Ontario, Department of Electrical and Computer Engineering, London, ON, Canada
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2020 – today
- 2024
[j160]Qiang Yang, Long Xu, Weihe Dong, Xiaokun Li, Kuanquan Wang, Suyu Dong, Xianyu Zhang, Tiansong Yang, Feng Jiang, Bin Zhang, Gongning Luo, Xin Gao, Guohua Wang:
HLAIImaster: a deep learning method with adaptive domain knowledge predicts HLA II neoepitope immunogenic responses. Briefings Bioinform. 25(4) (2024)- [j159]Junkang Wei, Jin Xiao, Siyuan Chen, Licheng Zong, Xin Gao, Yu Li:
ProNet DB: a proteome-wise database for protein surface property representations and RNA-binding profiles. Database J. Biol. Databases Curation 2024 (2024) - [j158]Kexin Shi, Yuanpeng Xiong, Yu Wang, Yifan Deng, Wenjia Wang, Bingyi Jing, Xin Gao:
PractiCPP: a deep learning approach tailored for extremely imbalanced datasets in cell-penetrating peptide prediction. Bioinform. 40(2) (2024) - [j157]Xiaopeng Xu, Chencheng Xu, Wenjia He, Lesong Wei, Haoyang Li, Juexiao Zhou, Ruochi Zhang, Yu Wang, Yuanpeng Xiong, Xin Gao:
HELM-GPT: de novo macrocyclic peptide design using generative pre-trained transformer. Bioinform. 40(6) (2024) - [j156]Juexiao Zhou, Longxi Zhou, Di Wang, Xiaopeng Xu, Haoyang Li, Yuetan Chu, Wenkai Han, Xin Gao:
Personalized and privacy-preserving federated heterogeneous medical image analysis with PPPML-HMI. Comput. Biol. Medicine 169: 107861 (2024) - [j155]Siyuan Chen, Kaichuang Zhang, Jingdong Hu, Na Li, Ao Xu, Haoyang Li, Juexiao Zhou, Chao Huang, Yongguo Yu, Xin Gao:
KaryoXpert: An accurate chromosome segmentation and classification framework for karyotyping analysis without training with manually labeled metaphase-image mask annotations. Comput. Biol. Medicine 177: 108601 (2024) - [j154]Xin Xia, Yiping Liu, Chunhou Zheng, Xingyi Zhang, Qingwen Wu, Xin Gao, Xiangxiang Zeng, Yansen Su:
Evolutionary Multiobjective Molecule Optimization in an Implicit Chemical Space. J. Chem. Inf. Model. 64(13): 5161-5174 (2024) - [j153]Xiuying Chen, Shen Gao, Mingzhe Li, Qingqing Zhu, Xin Gao, Xiangliang Zhang:
Write Summary Step-by-Step: A Pilot Study of Stepwise Summarization. IEEE ACM Trans. Audio Speech Lang. Process. 32: 1406-1415 (2024) - [c69]Changyu Chen, Xiting Wang, Ting-En Lin, Ang Lv, Yuchuan Wu, Xin Gao, Ji-Rong Wen, Rui Yan, Yongbin Li:
Masked Thought: Simply Masking Partial Reasoning Steps Can Improve Mathematical Reasoning Learning of Language Models. ACL (1) 2024: 5872-5900 - [c68]Quan Tu, Shilong Fan, Zihang Tian, Tianhao Shen, Shuo Shang, Xin Gao, Rui Yan:
CharacterEval: A Chinese Benchmark for Role-Playing Conversational Agent Evaluation. ACL (1) 2024: 11836-11850 - [c67]Changsheng Ma, Taicheng Guo, Qiang Yang, Xiuying Chen, Xin Gao, Shangsong Liang, Nitesh V. Chawla, Xiangliang Zhang:
A Property-Guided Diffusion Model For Generating Molecular Graphs. ICASSP 2024: 2365-2369 - [c66]Qiang Yang, Xiaodong Wu, Xiuying Chen, Xin Gao, Xiangliang Zhang:
Think as People: Context-Driven Multi-Image News Captioning with Adaptive Dual Attention. ICASSP 2024: 4430-4434 - [c65]Qingqing Zhu, Xiuying Chen, Qiao Jin, Benjamin Hou, Tejas Sudharshan Mathai, Pritam Mukherjee, Xin Gao, Ronald M. Summers, Zhiyong Lu:
Leveraging Professional Radiologists' Expertise to Enhance LLMs' Evaluation for AI-generated Radiology Reports. ICHI 2024: 402-411 - [c64]Yuetan Chu, Changchun Yang, Gongning Luo, Zhaowen Qiu, Xin Gao:
Anatomic-Constrained Medical Image Synthesis via Physiological Density Sampling. MICCAI (11) 2024: 69-79 - [c63]Xinghua Ma, Mingye Zou, Xinyan Fang, Yang Liu, Gongning Luo, Wei Wang, Kuanquan Wang, Zhaowen Qiu, Xin Gao, Shuo Li:
Spatio-Temporal Contrast Network for Data-Efficient Learning of Coronary Artery Disease in Coronary CT Angiography. MICCAI (11) 2024: 645-655 - [c62]Xiuying Chen, Mingzhe Li, Shen Gao, Xin Cheng, Qingqing Zhu, Rui Yan, Xin Gao, Xiangliang Zhang:
Flexible and Adaptable Summarization via Expertise Separation. SIGIR 2024: 2018-2027 - [c61]Hongda Sun, Yuxuan Liu, Chengwei Wu, Haiyu Yan, Cheng Tai, Xin Gao, Shuo Shang, Rui Yan:
Harnessing Multi-Role Capabilities of Large Language Models for Open-Domain Question Answering. WWW 2024: 4372-4382 - [i57]Ruochi Zhang, Haoran Wu, Chang Liu, Huaping Li, Yuqian Wu, Kewei Li, Yifan Wang, Yifan Deng, Jiahui Chen, Fengfeng Zhou, Xin Gao:
PepHarmony: A Multi-View Contrastive Learning Framework for Integrated Sequence and Structure-Based Peptide Encoding. CoRR abs/2401.11360 (2024) - [i56]Qingqing Zhu, Xiuying Chen, Qiao Jin, Benjamin Hou, Tejas Sudharshan Mathai, Pritam Mukherjee, Xin Gao, Ronald M. Summers, Zhiyong Lu:
Leveraging Professional Radiologists' Expertise to Enhance LLMs' Evaluation for Radiology Reports. CoRR abs/2401.16578 (2024) - [i55]Xiuying Chen, Tairan Wang, Qingqing Zhu, Taicheng Guo, Shen Gao, Zhiyong Lu, Xin Gao, Xiangliang Zhang:
Rethinking Scientific Summarization Evaluation: Grounding Explainable Metrics on Facet-aware Benchmark. CoRR abs/2402.14359 (2024) - [i54]Changyu Chen, Xiting Wang, Ting-En Lin, Ang Lv, Yuchuan Wu, Xin Gao, Ji-Rong Wen, Rui Yan, Yongbin Li:
Masked Thought: Simply Masking Partial Reasoning Steps Can Improve Mathematical Reasoning Learning of Language Models. CoRR abs/2403.02178 (2024) - [i53]Hongda Sun, Yuxuan Liu, Chengwei Wu, Haiyu Yan, Cheng Tai, Xin Gao, Shuo Shang, Rui Yan:
Harnessing Multi-Role Capabilities of Large Language Models for Open-Domain Question Answering. CoRR abs/2403.05217 (2024) - [i52]Xiaoqing Zhang, Xiuying Chen, Shen Gao, Shuqi Li, Xin Gao, Ji-Rong Wen, Rui Yan:
Selecting Query-bag as Pseudo Relevance Feedback for Information-seeking Conversations. CoRR abs/2404.04272 (2024) - [i51]Yuetan Chu, Gongning Luo, Longxi Zhou, Shaodong Cao, Guolin Ma, Xianglin Meng, Juexiao Zhou, Changchun Yang, Dexuan Xie, Ricardo Henao, Xigang Xiao, Lianming Wu, Zhaowen Qiu, Xin Gao:
Deep learning-driven pulmonary arteries and veins segmentation reveals demography-associated pulmonary vasculature anatomy. CoRR abs/2404.07671 (2024) - [i50]Yuxiang Zheng, Zhongyi Han, Yilong Yin, Xin Gao, Tongliang Liu:
Can We Treat Noisy Labels as Accurate? CoRR abs/2405.12969 (2024) - [i49]Juexiao Zhou, Liyuan Sun, Yan Xu, Wenbin Liu, Shawn Afvari, Zhongyi Han, Jiaoyan Song, Yongzhi Ji, Xiaonan He, Xin Gao:
SkinCAP: A Multi-modal Dermatology Dataset Annotated with Rich Medical Captions. CoRR abs/2405.18004 (2024) - [i48]Hongda Sun, Hongzhan Lin, Haiyu Yan, Chen Zhu, Yang Song, Xin Gao, Shuo Shang, Rui Yan:
Facilitating Multi-Role and Multi-Behavior Collaboration of Large Language Models for Online Job Seeking and Recruiting. CoRR abs/2405.18113 (2024) - [i47]Xiuying Chen, Mingzhe Li, Shen Gao, Xin Cheng, Qingqing Zhu, Rui Yan, Xin Gao, Xiangliang Zhang:
Flexible and Adaptable Summarization via Expertise Separation. CoRR abs/2406.05360 (2024) - [i46]Xiuying Chen, Shen Gao, Mingzhe Li, Qingqing Zhu, Xin Gao, Xiangliang Zhang:
Write Summary Step-by-Step: A Pilot Study of Stepwise Summarization. CoRR abs/2406.05361 (2024) - [i45]Yuetan Chu, Yilan Zhang, Zhongyi Han, Changchun Yang, Longxi Zhou, Gongning Luo, Xin Gao:
Improving Representation of High-frequency Components for Medical Foundation Models. CoRR abs/2407.14651 (2024) - [i44]Xiuying Chen, Tairan Wang, Taicheng Guo, Kehan Guo, Juexiao Zhou, Haoyang Li, Mingchen Zhuge, Jürgen Schmidhuber, Xin Gao, Xiangliang Zhang:
ScholarChemQA: Unveiling the Power of Language Models in Chemical Research Question Answering. CoRR abs/2407.16931 (2024) - [i43]Mingjin Zhang, Chi Zhang, Qiming Zhang, Yunsong Li, Xin Gao, Jing Zhang:
Unleashing the Power of Generic Segmentation Models: A Simple Baseline for Infrared Small Target Detection. CoRR abs/2409.04714 (2024) - 2023
- [j152]Weihe Dong, Qiang Yang, Jian Wang, Long Xu, Xiaokun Li, Gongning Luo, Xin Gao:
Multi-modality attribute learning-based method for drug-protein interaction prediction based on deep neural network. Briefings Bioinform. 24(3) (2023) - [j151]Hongli Gao, Bin Zhang, Long Liu, Shan Li, Xin Gao, Bin Yu:
A universal framework for single-cell multi-omics data integration with graph convolutional networks. Briefings Bioinform. 24(3) (2023) - [j150]Yang Li, Zihou Guo, Keqi Wang, Xin Gao, Guohua Wang:
End-to-end interpretable disease-gene association prediction. Briefings Bioinform. 24(3) (2023) - [j149]Xin Wang, Xin Gao, Guohua Wang, Dan Li:
miProBERT: identification of microRNA promoters based on the pre-trained model BERT. Briefings Bioinform. 24(3) (2023) - [j148]Pengju Ding, Yifei Wang, Xinyu Zhang, Xin Gao, Guozhu Liu, Bin Yu:
DeepSTF: predicting transcription factor binding sites by interpretable deep neural networks combining sequence and shape. Briefings Bioinform. 24(4) (2023) - [j147]Zhongshen Li, Junru Jin, Wenjia He, Wentao Long, Haoqing Yu, Xin Gao, Kenta Nakai, Quan Zou, Leyi Wei:
CoraL: interpretable contrastive meta-learning for the prediction of cancer-associated ncRNA-encoded small peptides. Briefings Bioinform. 24(6) (2023) - [j146]Haonan Wu, Jiyun Han, Shizhuo Zhang, Xin Gao, Chaozhou Mou, Juntao Liu:
Spatom: a graph neural network for structure-based protein-protein interaction site prediction. Briefings Bioinform. 24(6) (2023) - [j145]Jiani Ma, Chen Li, Yiwen Zhang, Zhikang Wang, Shanshan Li, Yuming Guo, Lin Zhang, Hui Liu, Xin Gao, Jiangning Song:
MULGA, a unified multi-view graph autoencoder-based approach for identifying drug-protein interaction and drug repositioning. Bioinform. 39(9) (2023) - [j144]Yang Li, Zihou Guo, Xin Gao, Guohua Wang:
MMCL-CDR: enhancing cancer drug response prediction with multi-omics and morphology images contrastive representation learning. Bioinform. 39(12) (2023) - [j143]Jiahao Gong, Sanyuan Zhao, Kin-Man Lam, Xin Gao, Jianbing Shen:
Spectrum-irrelevant fine-grained representation for visible-infrared person re-identification. Comput. Vis. Image Underst. 232: 103703 (2023) - [j142]Xiaopeng Xu, Tiantian Xu, Juexiao Zhou, Xingyu Liao, Ruochi Zhang, Yu Wang, Lu Zhang, Xin Gao:
AB-Gen: Antibody Library Design with Generative Pre-Trained Transformer and Deep Reinforcement Learning. Genom. Proteom. Bioinform. 21(5): 1043-1053 (2023) - [j141]Hao Wang, Chengcheng Yang, Xiangliang Zhang, Xin Gao:
Efficient locality-sensitive hashing over high-dimensional streaming data. Neural Comput. Appl. 35(5): 3753-3766 (2023) - [j140]Gengjie Jia, Yu Li, Xue Zhong, Kanix Wang, Milton Pividori, Rabab Alomairy, Aniello Esposito, Hatem Ltaief, Chikashi Terao, Masato Akiyama, Koichi Matsuda, David E. Keyes, Hae Kyung Im, Takashi Gojobori, Yoichiro Kamatani, Michiaki Kubo, Nancy J. Cox, James A. Evans, Xin Gao, Andrey Rzhetsky:
The high-dimensional space of human diseases built from diagnosis records and mapped to genetic loci. Nat. Comput. Sci. 3(5): 403-417 (2023) - [j139]Gengjie Jia, Yu Li, Xue Zhong, Kanix Wang, Milton Pividori, Rabab Alomairy, Aniello Esposito, Hatem Ltaief, Chikashi Terao, Masato Akiyama, Koichi Matsuda, David E. Keyes, Hae Kyung Im, Takashi Gojobori, Yoichiro Kamatani, Michiaki Kubo, Nancy J. Cox, James A. Evans, Xin Gao, Andrey Rzhetsky:
Author Correction: The high-dimensional space of human diseases built from diagnosis records and mapped to genetic loci. Nat. Comput. Sci. 3(7): 658 (2023) - [j138]Junbo Yin, Jianbing Shen, Xin Gao, David J. Crandall, Ruigang Yang:
Graph Neural Network and Spatiotemporal Transformer Attention for 3D Video Object Detection From Point Clouds. IEEE Trans. Pattern Anal. Mach. Intell. 45(8): 9822-9835 (2023) - [j137]Wanyun Zhou, Yufei Liu, Yingxin Li, Siqi Kong, Weilin Wang, Boyun Ding, Jiyun Han, Chaozhou Mou, Xin Gao, Juntao Liu:
TriNet: A tri-fusion neural network for the prediction of anticancer and antimicrobial peptides. Patterns 4(3): 100702 (2023) - [j136]Yifei Wang, Xue Wang, Cheng Chen, Hongli Gao, Adil Salhi, Xin Gao, Bin Yu:
RPI-CapsuleGAN: Predicting RNA-protein interactions through an interpretable generative adversarial capsule network. Pattern Recognit. 141: 109626 (2023) - [j135]Xiaolin Wang, Hongli Gao, Ren Qi, Ruiqing Zheng, Xin Gao, Bin Yu:
scBKAP: A Clustering Model for Single-Cell RNA-Seq Data Based on Bisecting K-Means. IEEE ACM Trans. Comput. Biol. Bioinform. 20(3): 2007-2015 (2023) - [j134]Ming Fan, Guangyao Huang, Junhong Lou, Xin Gao, Tieyong Zeng, Lihua Li:
Cross-Parametric Generative Adversarial Network-Based Magnetic Resonance Image Feature Synthesis for Breast Lesion Classification. IEEE J. Biomed. Health Informatics 27(11): 5495-5505 (2023) - [j133]Xiuying Chen, Mingzhe Li, Shen Gao, Zhangming Chan, Dongyan Zhao, Xin Gao, Xiangliang Zhang, Rui Yan:
Follow the Timeline! Generating an Abstractive and Extractive Timeline Summary in Chronological Order. ACM Trans. Inf. Syst. 41(1): 9:1-9:30 (2023) - [c60]Hongyan Bao, Yufei Han, Yujun Zhou, Xin Gao, Xiangliang Zhang:
Towards Efficient and Domain-Agnostic Evasion Attack with High-Dimensional Categorical Inputs. AAAI 2023: 6753-6761 - [c59]Xiuying Chen, Mingzhe Li, Jiayi Zhang, Xiaoqiang Xia, Chen Wei, Jianwei Cui, Xin Gao, Xiangliang Zhang, Rui Yan:
Learning towards Selective Data Augmentation for Dialogue Generation. AAAI 2023: 12673-12681 - [c58]Xiuying Chen, Guodong Long, Chongyang Tao, Mingzhe Li, Xin Gao, Chengqi Zhang, Xiangliang Zhang:
Improving the Robustness of Summarization Systems with Dual Augmentation. ACL (1) 2023: 6846-6857 - [c57]Changsheng Ma, Qiang Yang, Shangsong Liang, Xin Gao:
A Distribution Preserving Model for Molecular Graph Generation. BIBM 2023: 379-386 - [c56]Zheng Yang, Bing Han, Weiming Chen, Xin Gao:
Learn to Encode Heterogeneous Data: A Heterogeneous Aware Network for Multi-Future Trajectory Prediction. IJCNN 2023: 1-8 - [c55]Qiang Yang, Changsheng Ma, Qiannan Zhang, Xin Gao, Chuxu Zhang, Xiangliang Zhang:
Counterfactual Learning on Heterogeneous Graphs with Greedy Perturbation. KDD 2023: 2988-2998 - [c54]Yuetan Chu, Longxi Zhou, Gongning Luo, Zhaowen Qiu, Xin Gao:
Topology-Preserving Computed Tomography Super-Resolution Based on Dual-Stream Diffusion Model. MICCAI (10) 2023: 260-270 - [c53]Xiuying Chen, Mingzhe Li, Shen Gao, Xin Cheng, Qiang Yang, Qishen Zhang, Xin Gao, Xiangliang Zhang:
A Topic-aware Summarization Framework with Different Modal Side Information. SIGIR 2023: 1416-1425 - [c52]Qiang Yang, Changsheng Ma, Qiannan Zhang, Xin Gao, Chuxu Zhang, Xiangliang Zhang:
Interpretable Research Interest Shift Detection with Temporal Heterogeneous Graphs. WSDM 2023: 321-329 - [i42]Xiuying Chen, Mingzhe Li, Shen Gao, Zhangming Chan, Dongyan Zhao, Xin Gao, Xiangliang Zhang, Rui Yan:
Follow the Timeline! Generating Abstractive and Extractive Timeline Summary in Chronological Order. CoRR abs/2301.00867 (2023) - [i41]Zhihang Hu, Qinze Yu, Yucheng Guo, Taifeng Wang, Irwin King, Xin Gao, Le Song, Yu Li:
Drug Synergistic Combinations Predictions via Large-Scale Pre-Training and Graph Structure Learning. CoRR abs/2301.05931 (2023) - [i40]Juexiao Zhou, Haoyang Li, Xingyu Liao, Bin Zhang, Wenjia He, Zhongxiao Li, Longxi Zhou, Xin Gao:
Audit to Forget: A Unified Method to Revoke Patients' Private Data in Intelligent Healthcare. CoRR abs/2302.09813 (2023) - [i39]Juexiao Zhou, Longxi Zhou, Di Wang, Xiaopeng Xu, Haoyang Li, Yuetan Chu, Wenkai Han, Xin Gao:
Personalized and privacy-preserving federated heterogeneous medical image analysis with PPPML-HMI. CoRR abs/2302.11571 (2023) - [i38]Xiuying Chen, Mingzhe Li, Jiayi Zhang, Xiaoqiang Xia, Chen Wei, Jianwei Cui, Xin Gao, Xiangliang Zhang, Rui Yan:
Learning towards Selective Data Augmentation for Dialogue Generation. CoRR abs/2303.09719 (2023) - [i37]Gongning Luo, Kuanquan Wang, Jun Liu, Shuo Li, Xinjie Liang, Xiangyu Li, Shaowei Gan, Wei Wang, Suyu Dong, Wenyi Wang, Pengxin Yu, Enyou Liu, Hongrong Wei, Na Wang, Jia Guo, Huiqi Li, Zhao Zhang, Ziwei Zhao, Na Gao, Nan An, Ashkan Pakzad, Bojidar Rangelov, Jiaqi Dou, Song Tian, Zeyu Liu, Yi Wang, Ampatishan Sivalingam, Kumaradevan Punithakumar, Zhaowen Qiu, Xin Gao:
Efficient automatic segmentation for multi-level pulmonary arteries: The PARSE challenge. CoRR abs/2304.03708 (2023) - [i36]Juexiao Zhou, Xin Gao:
SkinGPT: A Dermatology Diagnostic System with Vision Large Language Model. CoRR abs/2304.10691 (2023) - [i35]Xiuying Chen, Mingzhe Li, Shen Gao, Xin Cheng, Qiang Yang, Qishen Zhang, Xin Gao, Xiangliang Zhang:
A Topic-aware Summarization Framework with Different Modal Side Information. CoRR abs/2305.11503 (2023) - [i34]Xiuying Chen, Guodong Long, Chongyang Tao, Mingzhe Li, Xin Gao, Chengqi Zhang, Xiangliang Zhang:
Improving the Robustness of Summarization Systems with Dual Augmentation. CoRR abs/2306.01090 (2023) - [i33]Shubo Tian, Qiao Jin, Lana Yeganova, Po-Ting Lai, Qingqing Zhu, Xiuying Chen, Yifan Yang, Qingyu Chen, Won Kim, Donald C. Comeau, Rezarta Islamaj, Aadit Kapoor, Xin Gao, Zhiyong Lu:
Opportunities and Challenges for ChatGPT and Large Language Models in Biomedicine and Health. CoRR abs/2306.10070 (2023) - [i32]Juexiao Zhou, Xiuying Chen, Xin Gao:
Path to Medical AGI: Unify Domain-specific Medical LLMs with the Lowest Cost. CoRR abs/2306.10765 (2023) - [i31]Juexiao Zhou, Bin Zhang, Xiuying Chen, Haoyang Li, Xiaopeng Xu, Siyuan Chen, Xin Gao:
Automated Bioinformatics Analysis via AutoBA. CoRR abs/2309.03242 (2023) - [i30]Bintao He, Fa Zhang, Chenjie Feng, Jianyi Yang, Xin Gao, Renmin Han:
CryoAlign: feature-based method for global and local 3D alignment of EM density maps. CoRR abs/2309.09217 (2023) - [i29]Ruochi Zhang, Haoran Wu, Yuting Xiu, Kewei Li, Ningning Chen, Yu Wang, Yan Wang, Xin Gao, Fengfeng Zhou:
PepLand: a large-scale pre-trained peptide representation model for a comprehensive landscape of both canonical and non-canonical amino acids. CoRR abs/2311.04419 (2023) - 2022
- [j132]Satish Chandra, Mahendra Kumar Gourisaria, Harshvardhan GM, Debanjan Konar, Xin Gao, Tianyang Wang, Min Xu:
Prolificacy Assessment of Spermatozoan via State-of-the-Art Deep Learning Frameworks. IEEE Access 10: 13715-13727 (2022) - [j131]Bin Yu, Xue Wang, Yaqun Zhang, Hongli Gao, Yifei Wang, Yushuang Liu, Xin Gao:
RPI-MDLStack: Predicting RNA-protein interactions through deep learning with stacking strategy and LASSO. Appl. Soft Comput. 120: 108676 (2022) - [j130]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) - [j129]Neng Huang, Fan Nie, Peng Ni, Xin Gao, Feng Luo, Jianxin Wang:
BlockPolish: accurate polishing of long-read assembly via block divide-and-conquer. Briefings Bioinform. 23(1) (2022) - [j128]Francesco Napolitano, Xiaopeng Xu, Xin Gao:
Impact of computational approaches in the fight against COVID-19: an AI guided review of 17 000 studies. Briefings Bioinform. 23(1) (2022) - [j127]Junkang Wei, Siyuan Chen, Licheng Zong, Xin Gao, Yu Li:
Protein-RNA interaction prediction with deep learning: structure matters. Briefings Bioinform. 23(1) (2022) - [j126]Xinxin Peng, Xiaoyu Wang, Yuming Guo, Zongyuan Ge, Fuyi Li, Xin Gao, Jiangning Song:
RBP-TSTL is a two-stage transfer learning framework for genome-scale prediction of RNA-binding proteins. Briefings Bioinform. 23(4) (2022) - [j125]Renchu Guan, Haoyu Pang, Yanchun Liang, Zhongjun Shao, Xin Gao, Dong Xu, Xiaoyue Feng:
Discovering trends and hotspots of biosafety and biosecurity research via machine learning. Briefings Bioinform. 23(5) (2022) - [j124]Wenkai Han, Yuqi Cheng, Jiayang Chen, Huawen Zhong, Zhihang Hu, Siyuan Chen, Licheng Zong, Liang Hong, Ting-Fung Chan, Irwin King, Xin Gao, Yu Li:
Self-supervised contrastive learning for integrative single cell RNA-seq data analysis. Briefings Bioinform. 23(5) (2022) - [j123]Kai Zheng, Haochen Zhao, Qichang Zhao, Bin Wang, Xin Gao, Jianxin Wang:
NASMDR: a framework for miRNA-drug resistance prediction using efficient neural architecture search and graph isomorphism networks. Briefings Bioinform. 23(5) (2022) - [j122]Yu Li, Siyuan Chen, Trisevgeni Rapakoulia, Hiroyuki Kuwahara, Kevin Y. Yip, Xin Gao:
Deep learning identifies and quantifies recombination hotspot determinants. Bioinform. 38(10): 2683-2691 (2022) - [j121]Yang Li, Guanyu Qiao, Xin Gao, Guohua Wang:
Supervised graph co-contrastive learning for drug-target interaction prediction. Bioinform. 38(10): 2847-2854 (2022) - [j120]Haoyang Li, Hanmin Li, Juexiao Zhou, Xin Gao:
SD2: spatially resolved transcriptomics deconvolution through integration of dropout and spatial information. Bioinform. 38(21): 4878-4884 (2022) - [j119]Bin Yu, Yaqun Zhang, Xue Wang, Hongli Gao, Jianqiang Sun, Xin Gao:
Identification of DNA modification sites based on elastic net and bidirectional gated recurrent unit with convolutional neural network. Biomed. Signal Process. Control. 75: 103566 (2022) - [j118]Yuhong Liu, Chunyan Han, Lin Zhang, Xin Gao:
Pedestrian Detection with Multi-View Convolution Fusion Algorithm. Entropy 24(2): 165 (2022) - [j117]Zhongxiao Li, Yisheng Li, Bin Zhang, Yu Li, Yongkang Long, Juexiao Zhou, Xudong Zou, Min Zhang, Yuhui Hu, Wei Chen, Xin Gao:
DeeReCT-APA: Prediction of Alternative Polyadenylation Site Usage Through Deep Learning. Genom. Proteom. Bioinform. 20(3): 483-495 (2022) - [j116]Juexiao Zhou, Bin Zhang, Haoyang Li, Longxi Zhou, Zhongxiao Li, Yongkang Long, Wenkai Han, Meng-Ran Wang, Huanhuan Cui, Jingjing Li, Wei Chen, Xin Gao:
Annotating TSSs in Multiple Cell Types Based on DNA Sequence and RNA-seq Data via DeeReCT-TSS. Genom. Proteom. Bioinform. 20(5): 959-973 (2022) - [j115]Xu Yan, Yingfeng Lu, Zhen Li, Qing Wei, Xin Gao, Sheng Wang, Song Wu, Shuguang Cui:
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