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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://dblp.dagstuhl.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
Other persons with a similar name
- De-xin Gao
- Guang-Xin Gao
- Jinxin Gao (aka: Jin-xin Gao) — disambiguation page
- Kai-Xin Gao
- Qin-Xin Gao
- Xin-Yi Gao
- Xin-bao Gao
- Xin-Gao Gong
- Gao Xin
- Gao Wei Xin
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2020 – today
- 2024
[j159]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)- [j158]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) - [j157]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) - [j156]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) - [j155]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) - [j154]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) - [j153]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) - [j152]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
- [j151]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) - [j150]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) - [j149]Yang Li, Zihou Guo, Keqi Wang, Xin Gao, Guohua Wang:
End-to-end interpretable disease-gene association prediction. Briefings Bioinform. 24(3) (2023) - [j148]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) - [j147]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) - [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:
PointSite: A Point Cloud Segmentation Tool for Identification of Protein Ligand Binding Atoms. J. Chem. Inf. Model. 62(11): 2835-2845 (2022) - [j114]Yongbiao Xue, Yiming Bao, Zhang Zhang, Wenming Zhao, Jing-Fa Xiao, Shunmin He, Guoqing Zhang, Yixue Li, Guoping Zhao, Runsheng Chen, Jingyao Zeng, Yadong Zhang, Yunfei Shang, Jialin Mai, Shuo Shi, Mingming Lu, Congfan Bu, Zhewen Zhang, Zhenglin Du, Yinying Wang, Hongen Kang, Tianyi Xu, Lili Hao, Peilin Jia, Shuai Jiang, Qiheng Qian, Tongtong Zhu, Wenting Zong, Tong Jin, Yuansheng Zhang, Dong Zou, Qiang Du, Changrui Feng, Lina Ma, Sisi Zhang, Anke Wang, Lili Dong, Yanqing Wang, Wan Liu, Xing Yan, Yunchao Ling, Zhihua Zhou, Wang Kang, Tao Zhang, Shuai Ma, Haoteng Yan, Zunpeng Liu, Zejun Ji, Yusheng Cai, Si Wang, Moshi Song, Jie Ren, Qi Zhou, Jing Qu, Weiqi Zhang, Guanghui Liu, Xu Chen, Tingting Chen, Yanling Sun, Caixia Yu, Bixia Tang, Junwei Zhu, Shuang Zhai, Yubin Sun, Qiancheng Chen, Xiaoyu Yang, Xin Zhang, Zhengqi Sang, Yonggang Wang, Yilin Zhao, Huanxin Chen, Li Lan, Yingke Ma, Yaokai Jia, Xinchang Zheng, Meili Chen, Ming Chen, Guangyi Niu, Rong Pan, Wei Jing, Jian Sang, Chang Liu, Yujia Xiong, Mochen Zhang, Guoliang Wang, Lizhi Yi, Wei Zhao, Song Wu, Zhuang Xiong, Rujiao Li, Zheng Gong, Lin Liu, Zhao Li, Qianpeng Li, Sicheng Luo, Jiajia Wang, Yirong Shi, Honghong Zhou, Peng Zhang, Tingrui Song, Yanyan Li, Fei Yang, Mengwei Li, Zhaohua Li, Dongmei Tian, Xiaonan Liu, Cuiping Li, Xufei Teng, Shuhui Song, Yang Zhang, Ruru Chen, Rongqin Zhang, Feng Xu, Yifan Wang, Chenfen Zhou, Haizhou Wang, Andrew E. Teschendorff, Yungang He, Zhen Yang, Lun Li, Na Li, Ying Cui, Guangya Duan, Gangao Wu, Tianhao Huang, Enhui Jin, Hailong Kang, Zhonghuang Wang, Hua Chen, Mingkun Li, Wanshan Ning, Yu Xue, Yanhu Liu, Qijun Zhou, Xingyan Liu, Longlong Zhang, Bingyu Mao, Shihua Zhang, Yaping Zhang, Guodong Wang, Qianghui Zhu, Xin Li, Menghua Li, Yuanming Liu, Hong Luo, Xiaoyuan Wu, Haichun Jing, Yitong Pan, Leisheng Shi, Zhixiang Zuo, Jian Ren, Xinxin Zhang, Yun Xiao, Xia Li, Dan Liu, Chi Zhang, Zheng Zhao, Tao Jiang, Wanying Wu, Fangqing Zhao, Xianwen Meng, Di Peng, Hao Luo, Feng Gao, Shaofeng Lin, Chuijie Liu, Anyuan Guo, Hao Yuan, Tianhan Su, Yong E. Zhang, Yincong Zhou, Guoji Guo, Shanshan Fu, Xiaodan Tan, Weizhi Zhang, Mei Luo, Yubin Xie, Chenwei Wang, Xingyu Liao, Xin Gao, Jianxin Wang, Guiyan Xie, Chunhui Yuan, Feng Tian, Dechang Yang, Ge Gao, Dachao Tang, Wenyi Wu, Yujie Gou, Cheng Han, Qinghua Cui, Xiangshang Li, Chuan-Yun Li, Xiaotong Luo:
Database Resources of the National Genomics Data Center, China National Center for Bioinformation in 2022. Nucleic Acids Res. 50(D1): 27-38 (2022) - [j113]Xingyu Liao, Kang Hu, Adil Salhi, You Zou, Jianxin Wang, Xin Gao:
msRepDB: a comprehensive repetitive sequence database of over 80 000 species. Nucleic Acids Res. 50(D1): 236-245 (2022) - [j112]Zhen Chen, Xuhan Liu, Pei Zhao, Chen Li, Yanan Wang, Fuyi Li, Tatsuya Akutsu, Chris Bain, Robin B. Gasser, Junzhou Li, Zuoren Yang, Xin Gao, Lukasz A. Kurgan, Jiangning Song:
iFeatureOmega: an integrative platform for engineering, visualization and analysis of features from molecular sequences, structural and ligand data sets. Nucleic Acids Res. 50(W1): 434-447 (2022) - [j111]Longxi Zhou, Xianglin Meng, Yuxin Huang, Kai Kang, Juexiao Zhou, Yuetan Chu, Haoyang Li, Dexuan Xie, Jiannan Zhang, Weizhen Yang, Na Bai, Yi Zhao, Mingyan Zhao, Guohua Wang, Lawrence Carin, Xigang Xiao, Kaijiang Yu, Zhaowen Qiu, Xin Gao:
An interpretable deep learning workflow for discovering subvisual abnormalities in CT scans of COVID-19 inpatients and survivors. Nat. Mach. Intell. 4(5): 494-503 (2022) - [j110]Francesco Napolitano, Xin Gao:
Special issue on computational biology and bioinformatic applications to the COVID-19 pandemic. Quant. Biol. 10(2): 123 (2022) - [j109]Dongming Wu, Mang Ye, Gaojie Lin, Xin Gao, Jianbing Shen:
Person Re-Identification by Context-Aware Part Attention and Multi-Head Collaborative Learning. IEEE Trans. Inf. Forensics Secur. 17: 115-126 (2022) - [j108]Ming Fan, Chengcheng Yuan, Guangyao Huang, Maosheng Xu, Shiwei Wang, Xin Gao, Lihua Li:
A Framework for Deep Multitask Learning With Multiparametric Magnetic Resonance Imaging for the Joint Prediction of Histological Characteristics in Breast Cancer. IEEE J. Biomed. Health Informatics 26(8): 3884-3895 (2022) - [j107]Dalin Zhang, Lina Yao, Kaixuan Chen, Zheng Yang, Xin Gao, Yunhao Liu:
Preventing Sensitive Information Leakage From Mobile Sensor Signals via Integrative Transformation. IEEE Trans. Mob. Comput. 21(12): 4517-4528 (2022) - [c51]Helene Orsini, Hongyan Bao, Yujun Zhou, Xiangrui Xu, Yufei Han, Longyang Yi, Wei Wang, Xin Gao, Xiangliang Zhang:
AdvCat: Domain-Agnostic Robustness Assessment for Cybersecurity-Critical Applications with Categorical Inputs. IEEE Big Data 2022: 1060-1069 - [c50]Changsheng Ma, Qiang Yang, Xin Gao, Xiangliang Zhang:
DEMO: Disentangled Molecular Graph Generation via an Invertible Flow Model. CIKM 2022: 1420-1429 - [c49]Xiuying Chen, Mingzhe Li, Shen Gao, Rui Yan, Xin Gao, Xiangliang Zhang:
Scientific Paper Extractive Summarization Enhanced by Citation Graphs. EMNLP 2022: 4053-4062 - [c48]Haoyi Zhu, Chuting Wang, Yuanxin Wang, Zhaoxin Fan, Mostofa Rafid Uddin, Xin Gao, Jing Zhang, Xiangrui Zeng, Min Xu:
Unsupervised Multi-Task Learning for 3D Subtomogram Image Alignment, Clustering and Segmentation. ICIP 2022: 2751-2755 - [c47]Xin Gao, Rui Yang, Eng Gee Lim:
Rolling Bearing Fault Diagnosis Based on Deep Adversarial Networks with Convolutional Layer and Wasserstein Distance. ICAC 2022: 1-6 - [c46]Xiuying Chen, Mingzhe Li, Xin Gao, Xiangliang Zhang:
Towards Improving Faithfulness in Abstractive Summarization. NeurIPS 2022 - [c45]Xiuying Chen, Hind Alamro, Mingzhe Li, Shen Gao, Rui Yan, Xin Gao, Xiangliang Zhang:
Target-aware Abstractive Related Work Generation with Contrastive Learning. SIGIR 2022: 373-383 - [i28]Xiuying Chen, Hind Alamro, Mingzhe Li, Shen Gao, Rui Yan, Xin Gao, Xiangliang Zhang:
Target-aware Abstractive Related Work Generation with Contrastive Learning. CoRR abs/2205.13339 (2022) - [i27]Junbo Yin, Jianbing Shen, Xin Gao, David Crandall, Ruigang Yang:
Graph Neural Network and Spatiotemporal Transformer Attention for 3D Video Object Detection from Point Clouds. CoRR abs/2207.12659 (2022) - [i26]Xiuying Chen, Mingzhe Li, Xin Gao, Xiangliang Zhang:
Towards Improving Faithfulness in Abstractive Summarization. CoRR abs/2210.01877 (2022) - [i25]Xiuying Chen, Mingzhe Li, Shen Gao, Rui Yan, Xin Gao, Xiangliang Zhang:
Scientific Paper Extractive Summarization Enhanced by Citation Graphs. CoRR abs/2212.04214 (2022) - [i24]Hongyan Bao, Yufei Han, Yujun Zhou, Xin Gao, Xiangliang Zhang:
Towards Efficient and Domain-Agnostic Evasion Attack with High-dimensional Categorical Inputs. CoRR abs/2212.06836 (2022) - [i23]Helene Orsini, Hongyan Bao, Yujun Zhou, Xiangrui Xu, Yufei Han, Longyang Yi, Wei Wang, Xin Gao, Xiangliang Zhang:
AdvCat: Domain-Agnostic Robustness Assessment for Cybersecurity-Critical Applications with Categorical Inputs. CoRR abs/2212.13989 (2022) - 2021
- [j106]Maxat Kulmanov, Fatima Zohra Smaili, Xin Gao, Robert Hoehndorf:
Semantic similarity and machine learning with ontologies. Briefings Bioinform. 22(4) (2021) - [j105]Renmin Han, Guojun Li, Xin Gao:
Robust and ultrafast fiducial marker correspondence in electron tomography by a two-stage algorithm considering local constraints. Bioinform. 37(1): 107-117 (2021) - [j104]Renmin Han, Lun Li, Peng Yang, Fa Zhang, Xin Gao:
A novel constrained reconstruction model towards high-resolution subtomogram averaging. Bioinform. 37(11): 1616-1626 (2021) - [j103]Neng Huang, Fan Nie, Peng Ni, Feng Luo, Xin Gao, Jianxin Wang:
NeuralPolish: a novel Nanopore polishing method based on alignment matrix construction and orthogonal Bi-GRU Networks. Bioinform. 37(19): 3120-3127 (2021) - [j102]Hammad Naveed, Corinna Reglin, Thomas Schubert, Xin Gao, Stefan T. Arold, Michael L. Maitland:
Identifying Novel Drug Targets by iDTPnd: A Case Study of Kinase Inhibitors. Genom. Proteom. Bioinform. 19(6): 986-997 (2021) - [j101]Fatima Zohra Smaili, Shuye Tian, Ambrish Roy, Meshari Alazmi, Stefan T. Arold, Srayanta Mukherjee, P. Scott Hefty, Wei Chen, Xin Gao:
QAUST: Protein Function Prediction Using Structure Similarity, Protein Interaction, and Functional Motifs. Genom. Proteom. Bioinform. 19(6): 998-1011 (2021) - [j100]Hiroyuki Kuwahara, Xin Gao:
Analysis of the effects of related fingerprints on molecular similarity using an eigenvalue entropy approach. J. Cheminformatics 13(1): 27 (2021) - [j99]Maha A. Thafar, Rawan S. Olayan, Somayah Albaradei, Vladimir B. Bajic, Takashi Gojobori, Magbubah Essack, Xin Gao:
DTi2Vec: Drug-target interaction prediction using network embedding and ensemble learning. J. Cheminformatics 13(1): 71 (2021) - [j98]Chengyan Li, Xin Gao, Qingquan Sun:
Introduction of Progress in Education under Recent Technology Revolution. Mob. Networks Appl. 26(5): 1881-1883 (2021) - [j97]Hiroyuki Kuwahara, Xin Gao:
Stable maintenance of hidden switches as a strategy to increase the gene expression stability. Nat. Comput. Sci. 1(1): 62-70 (2021) - [j96]Ramzan Umarov, Yu Li, Takahiro Arakawa, Satoshi Takizawa, Xin Gao, Erik Arner:
ReFeaFi: Genome-wide prediction of regulatory elements driving transcription initiation. PLoS Comput. Biol. 17(9) (2021) - [d10]Francesco Napolitano, Xiaopeng Xu, Xin Gao:
CSCoV: Computational Studies about COVID-19. Zenodo, 2021
- [d9]Francesco Napolitano, Xiaopeng Xu, Xin Gao:
CSCoV: Computational Studies about COVID-19. Zenodo, 2021 - [d8]Francesco Napolitano, Xiaopeng Xu, Xin Gao:
Fighting COVID-19 with computational tools: an AI guided review of 17,000 studies - The CSCoV database. Zenodo, 2021 - [d7]Francesco Napolitano, Xiaopeng Xu, Xin Gao:
Fighting COVID-19 with computational tools: an AI guided review of 17,000 studies - The CSCoV database. Zenodo, 2021 - [d6]Francesco Napolitano, Xiaopeng Xu, Xin Gao:
Fighting COVID-19 with computational tools: an AI guided review of 17,000 studies - The CSCoV database. Zenodo, 2021 - [d5]Francesco Napolitano, Xiaopeng Xu, Xin Gao:
Fighting COVID-19 with computational tools: an AI guided review of 17,000 studies - The CSCoV database. Zenodo, 2021 - [d4]Francesco Napolitano, Xiaopeng Xu, Xin Gao:
Fighting COVID-19 with computational tools: an AI guided review of 17,000 studies - The CSCoV database. Zenodo, 2021 - [d3]Francesco Napolitano, Xiaopeng Xu, Xin Gao:
Fighting COVID-19 with computational tools: an AI guided review of 17,000 studies - The CSCoV database. Zenodo, 2021 - [d2]Francesco Napolitano, Xiaopeng Xu, Xin Gao:
Fighting COVID-19 with computational tools: an AI guided review of 17,000 studies - The CSCoV database. Zenodo, 2021 - [d1]Francesco Napolitano, Xiaopeng Xu, Xin Gao:
Fighting COVID-19 with computational tools: an AI guided review of 17,000 studies - The CSCoV database. Zenodo, 2021 - [i22]Zhengzhong Liu, Guanxiong Ding, Avinash Bukkittu, Mansi Gupta, Pengzhi Gao, Atif Ahmed, Shikun Zhang, Xin Gao, Swapnil Singhavi, Linwei Li, Wei Wei, Zecong Hu, Haoran Shi, Xiaodan Liang, Teruko Mitamura, Eric P. Xing, Zhiting Hu:
A Data-Centric Framework for Composable NLP Workflows. CoRR abs/2103.01834 (2021) - [i21]Junkang Wei, Siyuan Chen, Licheng Zong, Xin Gao, Yu Li:
Protein-RNA interaction prediction with deep learning: Structure matters. CoRR abs/2107.12243 (2021) - [i20]Nanyi Fei, Zhiwu Lu, Yizhao Gao, Guoxing Yang, Yuqi Huo, Jingyuan Wen, Haoyu Lu, Ruihua Song, Xin Gao, Tao Xiang, Hao Sun, Ji-Rong Wen:
WenLan 2.0: Make AI Imagine via a Multimodal Foundation Model. CoRR abs/2110.14378 (2021) - 2020
- [j95]Somayah Albaradei, Francesco Napolitano, Mahmut Uludag, Maha A. Thafar, Sara Napolitano, Magbubah Essack, Vladimir B. Bajic, Xin Gao:
Automated Counting of Colony Forming Units Using Deep Transfer Learning From a Model for Congested Scenes Analysis. IEEE Access 8: 164340-164346 (2020) - [j94]Feiyang Chen, Ying Jiang, Xiangrui Zeng, Jing Zhang, Xin Gao, Min Xu:
PUB-SalNet: A Pre-Trained Unsupervised Self-Aware Backpropagation Network for Biomedical Salient Segmentation. Algorithms 13(5): 126 (2020) - [j93]Tanvir Alam, Meshari Alazmi, Rayan Naser, Franceline Huser, Afaque A. Momin, Veronica Astro, SeungBeom Hong, Katarzyna W. Walkiewicz, Christian G. Canlas, Raphaël Huser, Amal J. Ali, Jasmeen Merzaban, Antonio Adamo, Mariusz Jaremko, Lukasz Jaremko, Vladimir B. Bajic, Xin Gao, Stefan T. Arold:
Proteome-level assessment of origin, prevalence and function of leucine-aspartic acid (LD) motifs. Bioinform. 36(4): 1121-1128 (2020) - [j92]Renmin Han, Sheng Wang, Xin Gao:
Novel algorithms for efficient subsequence searching and mapping in nanopore raw signals towards targeted sequencing. Bioinform. 36(5): 1333-1343 (2020) - [j91]Francesco Napolitano, Diego Carrella, Xin Gao, Diego di Bernardo:
gep2pep: a bioconductor package for the creation and analysis of pathway-based expression profiles. Bioinform. 36(6): 1944-1945 (2020) - [j90]Fatima Zohra Smaili, Xin Gao, Robert Hoehndorf:
Formal axioms in biomedical ontologies improve analysis and interpretation of associated data. Bioinform. 36(7): 2229-2236 (2020) - [j89]Yu Li, Sheng Wang, Chongwei Bi, Zhaowen Qiu, Mo Li, Xin Gao:
DeepSimulator1.5: a more powerful, quicker and lighter simulator for Nanopore sequencing. Bioinform. 36(8): 2578-2580 (2020) - [j88]Ting Yu, Juntao Liu, Xin Gao, Guojun Li:
iPAC: a genome-guided assembler of isoforms via phasing and combing paths. Bioinform. 36(9): 2712-2717 (2020) - [j87]Sinuo Liu, Xiaojuan Ban, Xiangrui Zeng, Fengnian Zhao, Yuan Gao, Wenjie Wu, Hongpan Zhang, Feiyang Chen, Thomas Hall, Xin Gao, Min Xu:
A unified framework for packing deformable and non-deformable subcellular structures in crowded cryo-electron tomogram simulation. BMC Bioinform. 21(1): 399 (2020) - [j86]Chunxiang Wang, Xin Gao, Juntao Liu:
Impact of data preprocessing on cell-type clustering based on single-cell RNA-seq data. BMC Bioinform. 21(1): 440 (2020) - [j85]Xingyu Liao, Xin Gao, Xiankai Zhang, Fang-Xiang Wu, Jianxin Wang:
RepAHR: an improved approach for de novo repeat identification by assembly of the high-frequency reads. BMC Bioinform. 21(1): 463 (2020) - [j84]Yongchun Lü, Xiangrui Zeng, Xinhui Tian, Xiao Shi, Hui Wang, Xiaohui Zheng, Xiaodong Liu, Xiaofang Zhao, Xin Gao, Min Xu:
Spark-based parallel calculation of 3D fourier shell correlation for macromolecule structure local resolution estimation. BMC Bioinform. 21-S(13): 391 (2020) - [j83]Ke Niu, Jiayang Guo, Yijie Pan, Xin Gao, Xueping Peng, Ning Li, Hailong Li:
Multichannel Deep Attention Neural Networks for the Classification of Autism Spectrum Disorder Using Neuroimaging and Personal Characteristic Data. Complex. 2020: 1357853:1-1357853:9 (2020) - [j82]Maha A. Thafar, Rawan S. Olayan, Haitham Ashoor, Somayah Albaradei, Vladimir B. Bajic, Xin Gao, Takashi Gojobori, Magbubah Essack:
DTiGEMS+: drug-target interaction prediction using graph embedding, graph mining, and similarity-based techniques. J. Cheminformatics 12(1): 44 (2020) - [j81]Zhiqiang Xu, Yiping Ke, Xin Cao, Chunlai Zhou, Pengfei Wei, Xin Gao:
A unified linear convergence analysis of k-SVD. Memetic Comput. 12(4): 343-353 (2020) - [j80]Ran Li, Liangyong Yu, Bo Zhou, Xiangrui Zeng, Zhenyu Wang, Xiaoyan Yang, Jing Zhang, Xin Gao, Rui Jiang, Min Xu:
Few-shot learning for classification of novel macromolecular structures in cryo-electron tomograms. PLoS Comput. Biol. 16(11) (2020) - [j79]Yumin Zheng, Haohan Wang, Yang Zhang, Xin Gao, Eric P. Xing, Min Xu:
Poly(A)-DG: A deep-learning-based domain generalization method to identify cross-species Poly(A) signal without prior knowledge from target species. PLoS Comput. Biol. 16(11): 1008297 (2020) - [j78]Yufeng Yang, Yixiao Ma, Jing Zhang, Xin Gao, Min Xu:
AttPNet: Attention-Based Deep Neural Network for 3D Point Set Analysis. Sensors 20(19): 5455 (2020) - [j77]Da Yan, Xin Gao, Samah J. Fodeh, Jake Y. Chen:
Guest Editorial for Selected Papers from BIOKDD 2018 and DMBIH 2018. IEEE ACM Trans. Comput. Biol. Bioinform. 17(6): 1832-1834 (2020) - [j76]Fang Deng, Lele Zhang, Feng Gao, Huangbin Qiu, Xin Gao, Jie Chen:
Long-Range Binocular Vision Target Geolocation Using Handheld Electronic Devices in Outdoor Environment. IEEE Trans. Image Process. 29: 5531-5541 (2020) - [j75]Ming Fan, Wei Yuan, Wenrui Zhao, Maosheng Xu, Shiwei Wang, Xin Gao, Lihua Li:
Joint Prediction of Breast Cancer Histological Grade and Ki-67 Expression Level Based on DCE-MRI and DWI Radiomics. IEEE J. Biomed. Health Informatics 24(6): 1632-1642 (2020) - [j74]Longxi Zhou, Zhongxiao Li, Juexiao Zhou, Haoyang Li, Yupeng Chen, Yuxin Huang, Dexuan Xie, Lintao Zhao, Ming Fan, Shahrukh Hashmi, Faisal Abdelkareem, Riham Eiada, Xigang Xiao, Lihua Li, Zhaowen Qiu, Xin Gao:
A Rapid, Accurate and Machine-Agnostic Segmentation and Quantification Method for CT-Based COVID-19 Diagnosis. IEEE Trans. Medical Imaging 39(8): 2638-2652 (2020) - [j73]Lizhong Ding, Shizhong Liao, Yong Liu, Li Liu, Fan Zhu, Yazhou Yao, Ling Shao, Xin Gao:
Approximate Kernel Selection via Matrix Approximation. IEEE Trans. Neural Networks Learn. Syst. 31(11): 4881-4891 (2020) - [c44]Zhengzhong Liu, Guanxiong Ding, Avinash Bukkittu, Mansi Gupta, Pengzhi Gao, Atif Ahmed, Shikun Zhang, Xin Gao, Swapnil Singhavi, Linwei Li, Wei Wei, Zecong Hu, Haoran Shi, Xiaodan Liang, Teruko Mitamura, Eric P. Xing, Zhiting Hu:
A Data-Centric Framework for Composable NLP Workflows. EMNLP (Demos) 2020: 197-204 - [c43]Xinshi Chen, Yu Li, Ramzan Umarov, Xin Gao, Le Song:
RNA Secondary Structure Prediction By Learning Unrolled Algorithms. ICLR 2020 - [c42]Xinshi Chen, Hanjun Dai, Yu Li, Xin Gao, Le Song:
Learning To Stop While Learning To Predict. ICML 2020: 1520-1530 - [c41]Haoyang Li, Juexiao Zhou, Yi Zhou, Jie Chen, Feng Gao, Ying Xu, Xin Gao:
Automatic and Interpretable Model for Periodontitis Diagnosis in Panoramic Radiographs. MICCAI (2) 2020: 454-463 - [i19]Xinshi Chen, Yu Li, Ramzan Umarov, Xin Gao, Le Song:
RNA Secondary Structure Prediction By Learning Unrolled Algorithms. CoRR abs/2002.05810 (2020) - [i18]Xinshi Chen, Hanjun Dai, Yu Li, Xin Gao, Le Song:
Learning to Stop While Learning to Predict. CoRR abs/2006.05082 (2020) - [i17]Qiang Yang, Hind Alamro, Somayah Albaradei, Adil Salhi, Xiaoting Lv, Changsheng Ma, Manal Alshehri, Inji Jaber, Faroug Tifratene, Wei Wang, Takashi Gojobori, Carlos M. Duarte, Xin Gao, Xiangliang Zhang:
SenWave: Monitoring the Global Sentiments under the COVID-19 Pandemic. CoRR abs/2006.10842 (2020)
2010 – 2019
- 2019
- [j72]Renmin Han, Xiaohua Wan, Lun Li, Albert F. Lawrence, Peng Yang, Yu Li, Sheng Wang, Fei Sun, Zhiyong Liu, Xin Gao, Fa Zhang:
AuTom-dualx: a toolkit for fully automatic fiducial marker-based alignment of dual-axis tilt series with simultaneous reconstruction. Bioinform. 35(2): 319-328 (2019) - [j71]Sheng Wang, Shiyang Fei, Zongan Wang, Yu Li, Jinbo Xu, Feng Zhao, Xin Gao:
PredMP: a web server for de novo prediction and visualization of membrane proteins. Bioinform. 35(4): 691-693 (2019) - [j70]Fatima Zohra Smaili, Xin Gao, Robert Hoehndorf:
OPA2Vec: combining formal and informal content of biomedical ontologies to improve similarity-based prediction. Bioinform. 35(12): 2133-2140 (2019) - [j69]Zhihao Xia, Yu Li, Bin Zhang, Zhongxiao Li, Yuhui Hu, Wei Chen, Xin Gao:
DeeReCT-PolyA: a robust and generic deep learning method for PAS identification. Bioinform. 35(14): 2371-2379 (2019) - [j68]Renmin Han, Zhipeng Bao, Xiangrui Zeng, Tongxin Niu, Fa Zhang, Min Xu, Xin Gao:
A joint method for marker-free alignment of tilt series in electron tomography. Bioinform. 35(14): i249-i259 (2019) - [j67]Meshari Alazmi, Hiroyuki Kuwahara, Othman Soufan, Lizhong Ding, Xin Gao:
Systematic selection of chemical fingerprint features improves the Gibbs energy prediction of biochemical reactions. Bioinform. 35(15): 2634-2643 (2019) - [j66]Ramzan Umarov, Hiroyuki Kuwahara, Yu Li, Xin Gao, Victor V. Solovyev:
Promoter analysis and prediction in the human genome using sequence-based deep learning models. Bioinform. 35(16): 2730-2737 (2019) - [j65]Yongchun Lü, Xiangrui Zeng, Xiaofang Zhao, Shirui Li, Hua Li, Xin Gao, Min Xu:
Fine-grained alignment of cryo-electron subtomograms based on MPI parallel optimization. BMC Bioinform. 20(1): 443:1-443:13 (2019) - [j64]Xudong Zou, Xin Gao, Wei Chen:
Deep Learning Deepens the Analysis of Alternative Splicing. Genom. Proteom. Bioinform. 17(2): 219-221 (2019) - [j63]Zhang Zhang, Jun Yu, Frank Eisenhaber, Xin Gao, Takashi Gojobori:
In Memory of Vladimir B. Bajic (1952-2019). Genom. Proteom. Bioinform. 17(5): 473-474 (2019) - [j62]Yu Li, Tao Zhang, Shuyu Sun, Xin Gao:
Accelerating flash calculation through deep learning methods. J. Comput. Phys. 394: 153-165 (2019) - [j61]Jim Jing-Yan Wang, Xuefeng Cui, Ge Yu, Lili Guo, Xin Gao:
When sparse coding meets ranking: a joint framework for learning sparse codes and ranking scores. Neural Comput. Appl. 31(3): 701-710 (2019) - [j60]Fang Deng, Liqiu Ma, Xin Gao, Jie Chen:
The MR-CA Models for Analysis of Pollution Sources and Prediction of PM2.5. IEEE Trans. Syst. Man Cybern. Syst. 49(4): 814-820 (2019) - [c40]Lizhong Ding, Zhi Liu, Yu Li, Shizhong Liao, Yong Liu, Peng Yang, Ge Yu, Ling Shao, Xin Gao:
Linear Kernel Tests via Empirical Likelihood for High-Dimensional Data. AAAI 2019: 3454-3461 - [c39]Lizhong Ding, Yong Liu, Shizhong Liao, Yu Li, Peng Yang, Yijie Pan, Chao Huang, Ling Shao, Xin Gao:
Approximate Kernel Selection with Strong Approximate Consistency. AAAI 2019: 3462-3469 - [c38]Peng Yang, Peilin Zhao, Jiayu Zhou, Xin Gao:
Confidence Weighted Multitask Learning. AAAI 2019: 5636-5643 - [c37]Zhen Li, Chongming Ni, Jinbo Xu, Xin Gao, Shuguang Cui, Sheng Wang:
Transmembrane Topology Identification by Fusing Evolutionary and Co-evolutionary Information with Cascaded Bidirectional Transformers. BCB 2019: 136-143 - [c36]Zhen Li, Chongming Ni, Jinbo Xu, Xin Gao, Shuguang Cui, Sheng Wang:
Transmembrane Topology Identification by Fusing Evolutionary and Co-evolutionary Information with Cascaded Bidirectional Transformers. BCB 2019: 547 - [c35]Xindi Wu, Yijun Mao, Haohan Wang, Xiangrui Zeng, Xin Gao, Eric P. Xing, Min Xu:
Regularized Adversarial Training (RAT) for Robust Cellular Electron Cryo Tomograms Classification. BIBM 2019: 1-6 - [c34]Chengqian Che, Zhou Xian, Xiangrui Zeng, Xin Gao, Min Xu:
Domain Randomization for Macromolecule Structure Classification and Segmentation in Electron Cyro-tomograms. BIBM 2019: 6-11 - [c33]Peng Han, Peng Yang, Peilin Zhao, Shuo Shang, Yong Liu, Jiayu Zhou, Xin Gao, Panos Kalnis:
GCN-MF: Disease-Gene Association Identification By Graph Convolutional Networks and Matrix Factorization. KDD 2019: 705-713 - [c32]Keyang Xu, Mike Lam, Jingzhi Pang, Xin Gao, Charlotte Band, Piyush Mathur, Frank Papay, Ashish K. Khanna, Jacek B. Cywinski, Kamal Maheshwari, Pengtao Xie, Eric P. Xing:
Multimodal Machine Learning for Automated ICD Coding. MLHC 2019: 197-215 - [i16]Yu Li, Chao Huang, Lizhong Ding, Zhongxiao Li, Yijie Pan, Xin Gao:
Deep learning in bioinformatics: introduction, application, and perspective in big data era. CoRR abs/1903.00342 (2019) - 2018
- [j59]Yu Li, Sheng Wang, Ramzan Umarov, Bingqing Xie, Ming Fan, Lihua Li, Xin Gao:
DEEPre: sequence-based enzyme EC number prediction by deep learning. Bioinform. 34(5): 760-769 (2018) - [j58]Renmin Han, Fa Zhang, Xin Gao:
A fast fiducial marker tracking model for fully automatic alignment in electron tomography. Bioinform. 34(5): 853-863 (2018) - [j57]Yu Li, Fan Xu, Fa Zhang, Pingyong Xu, Mingshu Zhang, Ming Fan, Lihua Li, Xin Gao, Renmin Han:
DLBI: deep learning guided Bayesian inference for structure reconstruction of super-resolution fluorescence microscopy. Bioinform. 34(13): i284-i294 (2018) - [j56]Fatima Zohra Smaili, Xin Gao, Robert Hoehndorf:
Onto2Vec: joint vector-based representation of biological entities and their ontology-based annotations. Bioinform. 34(13): i52-i60 (2018) - [j55]Yu Li, Renmin Han, Chongwei Bi, Mo Li, Sheng Wang, Xin Gao:
DeepSimulator: a deep simulator for Nanopore sequencing. Bioinform. 34(17): 2899-2908 (2018) - [j54]Renmin Han, Yu Li, Xin Gao, Sheng Wang:
An accurate and rapid continuous wavelet dynamic time warping algorithm for end-to-end mapping in ultra-long nanopore sequencing. Bioinform. 34(17): i722-i731 (2018) - [j53]Alyaa M. Abdel-Haleem, Hooman Hefzi, Katsuhiko Mineta, Xin Gao, Takashi Gojobori, Bernhard O. Palsson, Nathan E. Lewis, Neema Jamshidi:
Functional interrogation of Plasmodium genus metabolism identifies species- and stage-specific differences in nutrient essentiality and drug targeting. PLoS Comput. Biol. 14(1) (2018) - [j52]Ji-Sung Kim, Xin Gao, Andrey Rzhetsky:
RIDDLE: Race and ethnicity Imputation from Disease history with Deep LEarning. PLoS Comput. Biol. 14(4) (2018) - [j51]Sheng Wang, Zhen Li, Yizhou Yu, Xin Gao:
WaveNano: a signal-level nanopore base-caller via simultaneous prediction of nucleotide labels and move labels through bi-directional WaveNets. Quant. Biol. 6(4): 359-368 (2018) - [j50]Xin Gao, Jake Y. Chen, Mohammed J. Zaki:
Multiscale and Multimodal Analysis for Computational Biology. IEEE ACM Trans. Comput. Biol. Bioinform. 15(6): 1951-1952 (2018) - [j49]Meshari Alazmi, Ahmed Abbas, Xianrong Guo, Ming Fan, Lihua Li, Xin Gao:
A Slice-based 13C-detected NMR Spin System Forming and Resonance Assignment Method. IEEE ACM Trans. Comput. Biol. Bioinform. 15(6): 1999-2008 (2018) - [c31]Lizhong Ding, Shizhong Liao, Yong Liu, Peng Yang, Xin Gao:
Randomized Kernel Selection With Spectra of Multilevel Circulant Matrices. AAAI 2018: 2910-2917 - [c30]Bo Zhou, Qiang Guo, Kaiwen Wang, Xiangrui Zeng, Xin Gao, Min Xu:
Feature Decomposition Based Saliency Detection in Electron Cryo-Tomograms. BIBM 2018: 2467-2473 - [c29]Zhiqiang Xu, Xin Cao, Xin Gao:
Convergence Analysis of Gradient Descent for Eigenvector Computation. IJCAI 2018: 2933-2939 - [c28]Peng Yang, Peilin Zhao, Xin Gao:
Bandit Online Learning on Graphs via Adaptive Optimization. IJCAI 2018: 2991-2997 - [c27]Peng Yang, Peilin Zhao, Yong Liu, Xin Gao:
Robust Cost-Sensitive Learning for Recommendation with Implicit Feedback. SDM 2018: 621-629 - [c26]Peng Yang, Peilin Zhao, Vincent W. Zheng, Lizhong Ding, Xin Gao:
Robust Asymmetric Recommendation via Min-Max Optimization. SIGIR 2018: 1077-1080 - [i15]Fatima Zohra Smaili, Xin Gao, Robert Hoehndorf:
Onto2Vec: joint vector-based representation of biological entities and their ontology-based annotations. CoRR abs/1802.00864 (2018) - [i14]Fatima Zohra Smaili, Xin Gao, Robert Hoehndorf:
OPA2Vec: combining formal and informal content of biomedical ontologies to improve similarity-based prediction. CoRR abs/1804.10922 (2018) - [i13]Yu Li, Fan Xu, Fa Zhang, Pingyong Xu, Mingshu Zhang, Ming Fan, Lihua Li, Xin Gao, Renmin Han:
DLBI: Deep learning guided Bayesian inference for structure reconstruction of super-resolution fluorescence microscopy. CoRR abs/1805.07777 (2018) - [i12]Yu Li, Zhongxiao Li, Lizhong Ding, Peng Yang, Yuhui Hu, Wei Chen, Xin Gao:
SupportNet: solving catastrophic forgetting in class incremental learning with support data. CoRR abs/1806.02942 (2018) - [i11]Yu Li, Lizhong Ding, Xin Gao:
On the Decision Boundary of Deep Neural Networks. CoRR abs/1808.05385 (2018) - [i10]Yu Li, Tao Zhang, Shuyu Sun, Xin Gao:
Accelerating Flash Calculation through Deep Learning Methods. CoRR abs/1809.07311 (2018) - [i9]Ramzan Umarov, Hiroyuki Kuwahara, Yu Li, Xin Gao, Victor V. Solovyev:
PromID: human promoter prediction by deep learning. CoRR abs/1810.01414 (2018) - [i8]Keyang Xu, Mike Lam, Jingzhi Pang, Xin Gao, Charlotte Band, Piyush Mathur, Frank Papay, Ashish K. Khanna, Jacek B. Cywinski, Kamal Maheshwari, Pengtao Xie, Eric P. Xing:
Multimodal Machine Learning for Automated ICD Coding. CoRR abs/1810.13348 (2018) - 2017
- [j48]Majed Alzahrani, Hiroyuki Kuwahara, Wei Wang, Xin Gao:
Gracob: a novel graph-based constant-column biclustering method for mining growth phenotype data. Bioinform. 33(16): 2523-2531 (2017) - [j47]Hanjun Dai, Ramzan Umarov, Hiroyuki Kuwahara, Yu Li, Le Song, Xin Gao:
Sequence2Vec: a novel embedding approach for modeling transcription factor binding affinity landscape. Bioinform. 33(22): 3575-3583 (2017) - [j46]Trisevgeni Rapakoulia, Xin Gao, Yi Huang, Michiel J. L. de Hoon, Mariko Okada-Hatakeyama, Harukazu Suzuki, Erik Arner:
Genome-scale regression analysis reveals a linear relationship for promoters and enhancers after combinatorial drug treatment. Bioinform. 33(23): 3696-3700 (2017) - [j45]Chisato Fujii, Hiroyuki Kuwahara, Ge Yu, Lili Guo, Xin Gao:
Learning gene regulatory networks from gene expression data using weighted consensus. Neurocomputing 220: 23-33 (2017) - [j44]Xuefeng Cui, Xin Gao:
K-nearest uphill clustering in the protein structure space. Neurocomputing 220: 52-59 (2017) - [j43]Zhiwu Lu, Zhenyong Fu, Tao Xiang, Peng Han, Liwei Wang, Xin Gao:
Learning from Weak and Noisy Labels for Semantic Segmentation. IEEE Trans. Pattern Anal. Mach. Intell. 39(3): 486-500 (2017) - [j42]Jim Jing-Yan Wang, Ivor Wai-Hung Tsang, Xuefeng Cui, Zhiwu Lu, Xin Gao:
Multi-instance dictionary learning via multivariate performance measure optimization. Pattern Recognit. 66: 448-459 (2017) - [j41]Peng Yang, Peilin Zhao, Xin Gao:
Robust Online Multi-Task Learning with Correlative and Personalized Structures. IEEE Trans. Knowl. Data Eng. 29(11): 2510-2521 (2017) - [c25]Yulei Niu, Zhiwu Lu, Songfang Huang, Xin Gao, Ji-Rong Wen:
FeaBoost: Joint Feature and Label Refinement for Semantic Segmentation. AAAI 2017: 1474-1480 - [c24]Xin Gao, Fumin Shen, Yang Yang, Xing Xu, Hanxi Li, Heng Tao Shen:
Asymmetric sparse hashing. ICME 2017: 127-132 - [c23]Fumin Shen, Xin Gao, Li Liu, Yang Yang, Heng Tao Shen:
Deep Asymmetric Pairwise Hashing. ACM Multimedia 2017: 1522-1530 - [c22]Zhiqiang Xu, Yiping Ke, Xin Gao:
A Fast Algorithm for Matrix Eigen-decompositionn. UAI 2017 - [i7]Peng Yang, Peilin Zhao, Xin Gao:
Robust Online Multi-Task Learning with Correlative and Personalized Structures. CoRR abs/1706.01824 (2017) - [i6]Peng Yang, Peilin Zhao, Xin Gao, Yong Liu:
Robust Cost-Sensitive Learning for Recommendation with Implicit Feedback. CoRR abs/1707.00536 (2017) - [i5]Yuan Yang, Pengtao Xie, Xin Gao, Carol Cheng, Christy Y. Li, Hongbao Zhang, Eric P. Xing:
Predicting Discharge Medications at Admission Time Based on Deep Learning. CoRR abs/1711.01386 (2017) - 2016
- [j40]Xuefeng Cui, Zhiwu Lu, Sheng Wang, Jim Jing-Yan Wang, Xin Gao:
CMsearch: simultaneous exploration of protein sequence space and structure space improves not only protein homology detection but also protein structure prediction. Bioinform. 32(12): 332-340 (2016) - [j39]Ibrahim M. Alabdulmohsin, Moustapha Cissé, Xin Gao, Xiangliang Zhang:
Large margin classification with indefinite similarities. Mach. Learn. 103(2): 215-237 (2016) - [j38]Adil Salhi, Magbubah Essack, Aleksandar Radovanovic, Benoit Marchand, Salim Bougouffa, André Antunes, Marta Filipa Simões, Feras F. Lafi, Olaa A. Motwalli, Ameerah Bokhari, Tariq Malas, Soha Al Amoudi, Ghofran Othum, Intikhab Alam, Katsuhiko Mineta, Xin Gao, Robert Hoehndorf, John A. C. Archer, Takashi Gojobori, Vladimir B. Bajic:
DESM: portal for microbial knowledge exploration systems. Nucleic Acids Res. 44(Database-Issue): 624-633 (2016) - [j37]Hiroyuki Kuwahara, Meshari Alazmi, Xuefeng Cui, Xin Gao:
MRE: a web tool to suggest foreign enzymes for the biosynthesis pathway design with competing endogenous reactions in mind. Nucleic Acids Res. 44(Webserver-Issue): W217-W225 (2016) - [j36]Peng Chen, ShanShan Hu, Jun Zhang, Xin Gao, Jinyan Li, Junfeng Xia, Bing Wang:
A Sequence-Based Dynamic Ensemble Learning System for Protein Ligand-Binding Site Prediction. IEEE ACM Trans. Comput. Biol. Bioinform. 13(5): 901-912 (2016) - [c21]Jim Jing-Yan Wang, Ivor Wai-Hung Tsang, Xin Gao:
Optimizing Multivariate Performance Measures from Multi-View Data. AAAI 2016: 2152-2158 - 2015
- [j35]Ming Fan, Hiroyuki Kuwahara, Xiaolei Wang, Suojin Wang, Xin Gao:
Parameter estimation methods for gene circuit modeling from time-series mRNA data: a comparative study. Briefings Bioinform. 16(6): 987-999 (2015) - [j34]Abdullah M. Khamis, Magbubah Essack, Xin Gao, Vladimir B. Bajic:
Distinct profiling of antimicrobial peptide families. Bioinform. 31(6): 849-856 (2015) - [j33]Xuefeng Cui, Hammad Naveed, Xin Gao:
Finding optimal interaction interface alignments between biological complexes. Bioinform. 31(12): 133-141 (2015) - [j32]Hammad Naveed, Umar S. Hameed, Deborah Harrus, William Bourguet, Stefan T. Arold, Xin Gao:
An integrated structure- and system-based framework to identify new targets of metabolites and known drugs. Bioinform. 31(24): 3922-3929 (2015) - [j31]Shiwei Sun, Xuetao Wang, Xin Gao, Lihui Ren, Xiaoquan Su, Dongbo Bu, Kang Ning:
Condensing Raman spectrum for single-cell phenotype analysis. BMC Bioinform. 16(S18): S15 (2015) - [j30]Jim Jing-Yan Wang, Yi Wang, Shiguang Zhao, Xin Gao:
Maximum mutual information regularized classification. Eng. Appl. Artif. Intell. 37: 1-8 (2015) - [j29]Jim Jing-Yan Wang, Jianhua Z. Huang, Yijun Sun, Xin Gao:
Feature selection and multi-kernel learning for adaptive graph regularized nonnegative matrix factorization. Expert Syst. Appl. 42(3): 1278-1286 (2015) - [j28]Jim Jing-Yan Wang, Yunji Wang, Bing-Yi Jing, Xin Gao:
Regularized maximum correntropy machine. Neurocomputing 160: 85-92 (2015) - [j27]Jim Jing-Yan Wang, Yijun Sun, Xin Gao:
Sparse structure regularized ranking. Multim. Tools Appl. 74(2): 635-654 (2015) - [j26]Jim Jing-Yan Wang, Xin Gao:
Max-min distance nonnegative matrix factorization. Neural Networks 61: 75-84 (2015) - [j25]Hanlun Jiang, Fu Kit Sheong, Lizhe Zhu, Xin Gao, Julie Bernauer, Xuhui Huang:
Markov State Models Reveal a Two-Step Mechanism of miRNA Loading into the Human Argonaute Protein: Selective Binding followed by Structural Re-arrangement. PLoS Comput. Biol. 11(7) (2015) - [c20]Ibrahim M. Alabdulmohsin, Xin Gao, Xiangliang Zhang:
Efficient Active Learning of Halfspaces via Query Synthesis. AAAI 2015: 2483-2489 - [c19]Zhiwu Lu, Xin Gao, Liwei Wang, Ji-Rong Wen, Songfang Huang:
Noise-Robust Semi-Supervised Learning by Large-Scale Sparse Coding. AAAI 2015: 2828-2834 - [c18]Xuefeng Cui, Hiroyuki Kuwahara, Shuai Cheng Li, Xin Gao:
Compare local pocket and global protein structure models by small structure patterns. BCB 2015: 355-365 - [c17]Xuefeng Cui, Hammad Naveed, Xin Gao:
Pairwise structure alignment specifically tuned for surface pockets and interaction interfaces. BCB 2015: 507-508 - [c16]Jim Jing-Yan Wang, Xin Gao:
Partially Labeled Data Tuple Can Optimize Multivariate Performance Measures. CIKM 2015: 1915-1918 - [c15]Zhiwu Lu, Xin Gao, Songfang Huang, Liwei Wang, Ji-Rong Wen:
Social Image Parsing by Cross-Modal Data Refinement. IJCAI 2015: 2169-2175 - [i4]Jim Jing-Yan Wang, Yunji Wang, Bing-Yi Jing, Xin Gao:
Regularized maximum correntropy machine. CoRR abs/1501.04282 (2015) - 2014
- [j24]Peng Chen, Jianhua Z. Huang, Xin Gao:
LigandRFs: random forest ensemble to identify ligand-binding residues from sequence information alone. BMC Bioinform. 15(S-15): S4 (2014) - [j23]Xiaolei Wang, Hiroyuki Kuwahara, Xin Gao:
Modeling DNA affinity landscape through two-round support vector regression with weighted degree kernels. BMC Syst. Biol. 8(S-5): S5 (2014) - [j22]Jim Jing-Yan Wang, Xin Gao:
Beyond cross-domain learning: Multiple-domain nonnegative matrix factorization. Eng. Appl. Artif. Intell. 28: 181-189 (2014) - [j21]Yichen Cheng, Xin Gao, Faming Liang:
Bayesian Peak Picking for NMR Spectra. Genom. Proteom. Bioinform. 12(1): 39-47 (2014) - [j20]Jim Jing-Yan Wang, Halima Bensmail, Xin Gao:
Feature selection and multi-kernel learning for sparse representation on a manifold. Neural Networks 51: 9-16 (2014) - [c14]Maruan Al-Shedivat, Jim Jing-Yan Wang, Majed Alzahrani, Jianhua Z. Huang, Xin Gao:
Supervised Transfer Sparse Coding. AAAI 2014: 1665-1672 - [c13]Ibrahim M. Alabdulmohsin, Xin Gao, Xiangliang Zhang:
Support vector machines with indefinite kernels. ACML 2014 - [c12]Ibrahim M. Alabdulmohsin, Xin Gao, Xiangliang Zhang:
Adding Robustness to Support Vector Machines Against Adversarial Reverse Engineering. CIKM 2014: 231-240 - [c11]Jim Jing-Yan Wang, Xin Gao:
Minimum Information Loss Based Multi-kernel Learning for Flagellar Protein Recognition in Trypanosoma Brucei. ICDM Workshops 2014: 133-141 - [c10]Islam Almasri, Xin Gao, Nina Fedoroff:
Quick Mining of Isomorphic Exact Large Patterns from Large Graphs. ICDM Workshops 2014: 517-524 - [c9]Jim Jing-Yan Wang, Xin Gao:
Semi-supervised sparse coding. IJCNN 2014: 1630-1637 - [c8]Jim Jing-Yan Wang, Majed Alzahrani, Xin Gao:
Large margin image set representation and classification. IJCNN 2014: 1797-1803 - [i3]Jim Jing-Yan Wang, Majed Alzahrani, Xin Gao:
Large Margin Image Set Representation and Classification. CoRR abs/1404.5588 (2014) - [i2]Jim Jing-Yan Wang, Yi Wang, Shiguang Zhao, Xin Gao:
Maximum mutual information regularized classification. CoRR abs/1409.7780 (2014) - [i1]Jim Jing-Yan Wang, Xin Gao:
Learning manifold to regularize nonnegative matrix factorization. CoRR abs/1410.2191 (2014) - 2013
- [j19]Mehdi Maadooliat, Xin Gao, Jianhua Z. Huang:
Assessing protein conformational sampling methods based on bivariate lag-distributions of backbone angles. Briefings Bioinform. 14(6): 724-736 (2013) - [j18]Hiroyuki Kuwahara, Ming Fan, Suojin Wang, Xin Gao:
A framework for scalable parameter estimation of gene circuit models using structural information. Bioinform. 29(13): 98-107 (2013) - [j17]Bo Xie, Boris R. Jankovic, Vladimir B. Bajic, Le Song, Xin Gao:
Poly(A) motif prediction using spectral latent features from human DNA sequences. Bioinform. 29(13): 316-325 (2013) - [j16]Jim Jing-Yan Wang, Xiaolei Wang, Xin Gao:
Non-negative matrix factorization by maximizing correntropy for cancer clustering. BMC Bioinform. 14: 107 (2013) - [j15]Xin Gao:
Recent Advances in Computational Methods for Nuclear Magnetic Resonance Data Processing. Genom. Proteom. Bioinform. 11(1): 29-33 (2013) - [j14]Jim Jing-Yan Wang, Halima Bensmail, Nan Yao, Xin Gao:
Discriminative sparse coding on multi-manifolds. Knowl. Based Syst. 54: 199-206 (2013) - [j13]Jim Jing-Yan Wang, Halima Bensmail, Xin Gao:
Multiple graph regularized nonnegative matrix factorization. Pattern Recognit. 46(10): 2840-2847 (2013) - [j12]Jim Jing-Yan Wang, Halima Bensmail, Xin Gao:
Joint learning and weighting of visual vocabulary for bag-of-feature based tissue classification. Pattern Recognit. 46(12): 3249-3255 (2013) - 2012
- [j11]Zhi Liu, Ahmed Abbas, Bing-Yi Jing, Xin Gao:
WaVPeak: picking NMR peaks through wavelet-based smoothing and volume-based filtering. Bioinform. 28(7): 914-920 (2012) - [j10]Mario Abdel Messih, Meghana Chitale, Vladimir B. Bajic, Daisuke Kihara, Xin Gao:
Protein domain recurrence and order can enhance prediction of protein functions. Bioinform. 28(18): 444-450 (2012) - [j9]Jingyan Wang, Halima Bensmail, Xin Gao:
Multiple graph regularized protein domain ranking. BMC Bioinform. 13: 307 (2012) - [j8]Richard Jang, Xin Gao, Ming Li:
Combining automated peak tracking in SAR by NMR with structure-based backbone assignment from 15N-NOESY. BMC Bioinform. 13(S-3): S4 (2012) - [j7]Jingyan Wang, Xin Gao, Quanquan Wang, Yongping Li:
ProDis-ContSHC: learning protein dissimilarity measures and hierarchical context coherently for protein-protein comparison in protein database retrieval. BMC Bioinform. 13(S-7): S2 (2012) - [j6]Jingyan Wang, Yongping Li, Quanquan Wang, Xinge You, Jiaju Man, Chao Wang, Xin Gao:
ProClusEnsem: Predicting membrane protein types by fusing different modes of pseudo amino acid composition. Comput. Biol. Medicine 42(5): 564-574 (2012) - [c7]Jingyan Wang, Islam Almasri, Xin Gao:
Adaptive graph regularized Nonnegative Matrix Factorization via feature selection. ICPR 2012: 963-966 - 2011
- [j5]Md Shariful Bhuyan, Xin Gao:
A protein-dependent side-chain rotamer library. BMC Bioinform. 12(S-14): S10 (2011) - [j4]Babak Alipanahi, Xin Gao, Emre Karakoç, Shuai Cheng Li, Frank J. Balbach, Guangyu Feng, Logan Donaldson, Ming Li:
Error Tolerant NMR Backbone Resonance Assignment and Automated Structure Generation. J. Bioinform. Comput. Biol. 9(1): 15-41 (2011) - [j3]Richard Jang, Xin Gao, Ming Li:
Towards Fully Automated Structure-Based NMR Resonance Assignment of 15N-Labeled Proteins From Automatically Picked Peaks. J. Comput. Biol. 18(3): 347-363 (2011) - [c6]Richard Jang, Xin Gao, Ming Li:
Combining ambiguous chemical shift mapping with structure-based backbone and NOE assignment from 15N-NOESY. BCB 2011: 76-86 - [c5]Hiroyuki Kuwahara, Xin Gao:
An efficient parallel stochastic simulation method for analysis of nonviral gene delivery systems. CMSB 2011: 83-93 - 2010
- [c4]Richard Jang, Xin Gao, Ming Li:
Towards Automated Structure-Based NMR Resonance Assignment. RECOMB 2010: 189-207
2000 – 2009
- 2009
- [b1]Xin Gao:
Towards Automating Protein Structure Determination from NMR Data. University of Waterloo, Ontario, Canada, 2009 - [j2]Babak Alipanahi, Xin Gao, Emre Karakoç, Logan Donaldson, Ming Li:
PICKY: a novel SVD-based NMR spectra peak picking method. Bioinform. 25(12) (2009) - [j1]Xin Gao, Jinbo Xu, Shuai Cheng Li, Ming Li:
Predicting Local Quality of a Sequence-Structure Alignment. J. Bioinform. Comput. Biol. 7(5): 789-810 (2009) - 2008
- [c3]Shuai Cheng Li, Dongbo Bu, Xin Gao, Jinbo Xu, Ming Li:
Designing succinct structural alphabets. ISMB 2008: 182-189 - [c2]Jing Zhang, Xin Gao, Jinbo Xu, Ming Li:
Rapid and Accurate Protein Side Chain Prediction with Local Backbone Information. RECOMB 2008: 285-299 - 2007
- [c1]Xin Gao, Shuaicheng Li, Yinan Lu:
New Algorithms for the Spaced Seeds. FAW 2007: 50-61
Coauthor Index