Shikui Tu

Publication Activity (10 Years)

Years Active: 2008-2024
Publications (10 Years): 73

Top Topics

Factor Analysis

Traveling Salesman

Top Venues

Publications

Yupei Yang, Biwei Huang, Shikui Tu, Lei Xu
Boosting Efficiency in Task-Agnostic Exploration through Causal Knowledge. CoRR (2024)
Tianxiang Qin, Shikui Tu, Lei Xu
IA-NGM: A bidirectional learning method for neural graph matching with feature fusion. Mach. Learn. 113 (4) (2024)
Zhousan Xie, Shikui Tu, Lei Xu
Multilevel Attention Network with Semi-supervised Domain Adaptation for Drug-Target Prediction. AAAI (2024)
Tengjie Li, Sicong Zang, Shikui Tu, Lei Xu
Lmser-pix2seq: Learning stable sketch representations for sketch healing. Comput. Vis. Image Underst. 240 (2024)
Peiying Li, Yongchang Liu, Jiafeng Zhou, Shikui Tu, Bing Zhao, Jieqing Wan, Yunjun Yang, Lei Xu
A deep-learning method for the end-to-end prediction of intracranial aneurysm rupture risk. Patterns 4 (4) (2023)
Peiying Li, Yongchang Liu, Shikui Tu, Lei Xu
GLPocket: A Multi-Scale Representation Learning Approach for Protein Binding Site Prediction. IJCAI (2023)
Mingfei Li, Shikui Tu, Lei Xu
Generalizing Graph Network Models for the Traveling Salesman Problem with Lin-Kernighan-Helsgaun Heuristics. ICONIP (1) (2023)
Dengwei Zhao, Shuai Yuan, Yanan Sun, Shikui Tu, Lei Xu
DeepTH: Chip Placement with Deep Reinforcement Learning Using a Three-Head Policy Network. DATE (2023)
Dengwei Zhao, Shikui Tu, Lei Xu
Generalized Weighted Path Consistency for Mastering Atari Games. NeurIPS (2023)
Hao Qian, Wenjing Huang, Shikui Tu, Lei Xu
KGDiff: towards explainable target-aware molecule generation with knowledge guidance. Briefings Bioinform. 25 (1) (2023)
Yongchang Liu, Peiying Li, Shikui Tu, Lei Xu
PEST: A General-Purpose Protein Embedding Model for Homology Search. BIBM (2023)
Wenqi Guo, Lin Zhang, Shikui Tu, Lei Xu
Self-Supervised Bidirectional Learning for Graph Matching. AAAI (2023)
Yao Zhou, Ruidan Su, Shikui Tu, Lei Xu
A Deep Temporal Factor Analysis Method for Large Scale Financial Portfolio Selection. ICASSP (2023)
Wenjing Huang, Shikui Tu, Lei Xu
IA-FaceS: A bidirectional method for semantic face editing. Neural Networks 158 (2023)
Lin Zhang, Yun Ren, Fang Yuan, Yangxin Zhu, Shikui Tu, Yucai Chen, Lei Xu
A Deep Learning Method with Multi-view Attention and Multi-branch GCN for BECT Diagnosis. BIBM (2023)
Yangxin Zhu, Shikui Tu, Lin Zhang, Lei Xu
Multi-source unsupervised domain-adaptation for automatic sleep staging. BIBM (2023)
Wenjing Huang, Shikui Tu, Lei Xu
PFB-Diff: Progressive Feature Blending Diffusion for Text-driven Image Editing. CoRR (2023)
Yongchang Liu, Peiying Li, Shikui Tu, Lei Xu
RefinePocket: An Attention-Enhanced and Mask-Guided Deep Learning Approach for Protein Binding Site Prediction. IEEE ACM Trans. Comput. Biol. Bioinform. 20 (5) (2023)
Sicong Zang, Shikui Tu, Lei Xu
Linking Sketch Patches by Learning Synonymous Proximity for Graphic Sketch Representation. AAAI (2023)
Tianpeng Wei, Biyang Zeng, Wenqi Guo, Zhenyu Guo, Shikui Tu, Lei Xu
A Dynamic Graph Convolutional Network for Anti-money Laundering. ICIC (5) (2023)
Peng Zhang, Shikui Tu
MGAE-DC: Predicting the synergistic effects of drug combinations through multi-channel graph autoencoders. PLoS Comput. Biol. 19 (3) (2023)
Lin Zhang, Yangxin Zhu, Shikui Tu, Lei Xu
A Feature Polymerized Based Two-Level Ensemble Model for Respiratory Sound Classification. BioCAS (2022)
Dengwei Zhao, Shikui Tu, Lei Xu
Efficient Learning for AlphaZero via Path Consistency. ICML (2022)
Shuai Yuan, Yanan Sun, Weifeng He, Qianrong Gu, Shi Xu, Zhigang Mao, Shikui Tu
MSLM-RF: A Spatial Feature Enhanced Random Forest for On-Board Hyperspectral Image Classification. IEEE Trans. Geosci. Remote. Sens. 60 (2022)
Lin Zeng, Haoran Ma, Long Xiang, Shikui Tu, Ying Wang, Liebin Zhao, Lei Xu
VentSR: A Self-Rectifying Deep Learning Method for Extubation Readiness Prediction. BIBM (2022)
Xiangzhe Guo, Ruidan Su, Shikui Tu, Lei Xu
Searching for Textual Adversarial Examples with Learned Strategy. ICONIP (4) (2022)
Sicong Zang, Shikui Tu, Lei Xu
Linking Sketch Patches by Learning Synonymous Proximity for Graphic Sketch Representation. CoRR (2022)
Peiying Li, Boheng Cao, Shikui Tu, Lei Xu
RecurPocket: Recurrent Lmser Network with Gating Mechanism for Protein Binding Site Detection. BIBM (2022)
Wenjing Huang, Shikui Tu, Lei Xu
IA-FaceS: A Bidirectional Method for Semantic Face Editing. CoRR (2022)
Peng Zhang, Shikui Tu, Wen Zhang, Lei Xu
Predicting cell line-specific synergistic drug combinations through a relational graph convolutional network with attention mechanism. Briefings Bioinform. 23 (6) (2022)
Wenjing Huang, Shikui Tu, Lei Xu
Box-FaceS: A Bidirectional Method for Box-Guided Face Component Editing. ACM Multimedia (2022)
Peiying Li, Shikui Tu, Lei Xu
Deep Rival Penalized Competitive Learning for low-resolution face recognition. Neural Networks 148 (2022)
Wenjing Huang, Shikui Tu, Lei Xu
Deep CNN Based Lmser and Strengths of Two Built-In Dualities. Neural Process. Lett. 54 (5) (2022)
Haoran Ma, Shikui Tu, Lei Xu
IA-CL: A Deep Bidirectional Competitive Learning Method for Traveling Salesman Problem. ICONIP (1) (2022)
Qin Ma, Lin Zeng, Shikui Tu, Lei Xu
Kernel Mean Matching with Mahalanobis Distance for Causal Inference of Time-to-event Outcome. BIBM (2022)
Xiangzhe Guo, Shikui Tu, Lei Xu
Learning to Generate Textual Adversarial Examples. ICANN (1) (2022)
Peng Zhang, Shikui Tu
A knowledge graph embedding-based method for predicting the synergistic effects of drug combinations. BIBM (2022)
Qingjie Sheng, Shikui Tu, Lei Xu
A Consistency Enhanced Deep Lmser Network for Face Sketch Synthesis. PRICAI (1) (2021)
Haodong Nie, Shikui Tu, Lei Xu
RecSleepNet: An Automatic Sleep Staging Model Based on Feature Reconstruction. BIBM (2021)
Jin-Xiong Lv, Shikui Tu, Lei Xu
Detection of Phenotype-Related Mutations of COVID-19 via the Whole Genomic Data. IEEE ACM Trans. Comput. Biol. Bioinform. 18 (4) (2021)
Rui Ma, Shikui Tu, Peiying Li, Jiafeng Zhou, Bing Zhao, Jieqing Wan, Lei Xu
Enriching computed tomography images by projection for robust automated cerebral aneurysm detection and segmentation. BIBM (2021)
Peiying Li, Shikui Tu, Lei Xu
Deep Rival Penalized Competitive Learning for Low-resolution Face Recognition. CoRR (2021)
Fucheng Deng, Shikui Tu, Lei Xu
Multi-source unsupervised domain adaptation for ECG classification. BIBM (2021)
Boheng Cao, Shikui Tu, Lei Xu
Flexible-CLmser: Regularized Feedback Connections for Biomedical Image Segmentation. BIBM (2021)
Sicong Zang, Shikui Tu, Lei Xu
Controllable stroke-based sketch synthesis from a self-organized latent space. Neural Networks 137 (2021)
Peng Zhang, Shikui Tu
DeepBSI: a multimodal deep learning framework for predicting the transcription factor binding site and intensity. BIBM (2021)
Zhicheng Wang, Biwei Huang, Shikui Tu, Kun Zhang, Lei Xu
DeepTrader: A Deep Reinforcement Learning Approach for Risk-Return Balanced Portfolio Management with Market Conditions Embedding. AAAI (2021)
Kaixuan Zhao, Shikui Tu, Lei Xu
IA-GM: A Deep Bidirectional Learning Method for Graph Matching. AAAI (2021)
Zhihao Xing, Shikui Tu, Lei Xu
Solve Traveling Salesman Problem by Monte Carlo Tree Search and Deep Neural Network. CoRR (2020)
Jin-Xiong Lv, Shikui Tu, Lei Xu
Two-variate phenotype-targeted tests for detecting phenotypic biomarkers in cancers. Int. J. Data Min. Bioinform. 24 (1) (2020)
Zhihao Xing, Shikui Tu
A Graph Neural Network Assisted Monte Carlo Tree Search Approach to Traveling Salesman Problem. IEEE Access 8 (2020)
Qingsong Xie, Shikui Tu, Guoxing Wang, Yong Lian, Lei Xu
Discrete Biorthogonal Wavelet Transform Based Convolutional Neural Network for Atrial Fibrillation Diagnosis from Electrocardiogram. IJCAI (2020)
Yuze Guo, Wenjing Huang, Yajing Chen, Shikui Tu
Regularize Network Skip Connections by Gating Mechanisms for Electron Microscopy Image Segmentation. ICME (2019)
Wenjing Huang, Shikui Tu, Lei Xu
Revisit Lmser from a Deep Learning Perspective. IScIDE (2) (2019)
Wenjing Huang, Shikui Tu, Lei Xu
Revisit Lmser and its further development based on convolutional layers. CoRR (2019)
Qingsong Xie, Shikui Tu, Guoxing Wang, Yong Lian, Lei Xu
Feature Enrichment Based Convolutional Neural Network for Heartbeat Classification From Electrocardiogram. IEEE Access 7 (2019)
Zhiwen Qiang, Shikui Tu, Lei Xu
A k-Dense-UNet for Biomedical Image Segmentation. IScIDE (1) (2019)
Peiying Li, Shikui Tu, Lei Xu
GAN Flexible Lmser for Super-resolution. ACM Multimedia (2019)
Wei-Sheng Wu, Jordan S. Brown, Tsung-Te Chen, Yu-Han Chu, Wei-Che Huang, Shikui Tu, Heng-Chi Lee
piRTarBase: a database of piRNA targeting sites and their roles in gene regulation. Nucleic Acids Res. 47 (Database-Issue) (2019)
Haote Yang, Shikui Tu
GLmser: A GAN-Lmser Network for Image-to-Image Translation. ICTAI (2019)
Jin-Xiong Lv, Shikui Tu, Lei Xu
A two-variate phenotype-targeted test for detection of phenotypic biomarkers on breast cancer. BIBM (2019)
Minchao Li, Shikui Tu, Lei Xu
Computational Decomposition of Style for Controllable and Enhanced Style Transfer. IScIDE (2) (2019)
Jin-Xiong Lv, Shikui Tu
Integration of Data-Space and Statistics-Space Boundary-Based Test to Control the False Positive Rate. ICIC (3) (2018)
Han-Chen Huang, Xianzi Wen, Shikui Tu, Jiafu Ji, Runsheng Chen, Lei Xu
An Enviro-Geno-Pheno State Analysis Framework for Biomarker Study. IScIDE (2018)
Minchao Li, Shikui Tu, Lei Xu
Computational Decomposition of Style for Controllable and Enhanced Style Transfer. CoRR (2018)
Wei-Sheng Wu, Wei-Che Huang, Jordan S. Brown, Donglei Zhang, Xiaoyan Song, Hao Chen, Shikui Tu, Zhiping Weng, Heng-Chi Lee
pirScan: a webserver to predict piRNA targeting sites and to avoid transgene silencing in C. elegans. Nucleic Acids Res. 46 (Webserver-Issue) (2018)
Yajing Chen, Shikui Tu, Lei Xu
Survival-Expression Map and Essential Forms of Survival-Expression Relations for Genes. IScIDE (2017)
Yajing Chen, Shikui Tu, Lei Xu
The Prognostic Role of Genes with Skewed Expression Distribution in Lung Adenocarcinoma. IScIDE (2017)
Jin-Xiong Lv, Shikui Tu, Lei Xu
A Comparative Study of Joint-SNVs Analysis Methods and Detection of Susceptibility Genes for Gastric Cancer in Korean Population. IScIDE (2017)
Wen Zhang, Xiang Yue, Feng Liu, Yanlin Chen, Shikui Tu, Xining Zhang
A unified frame of predicting side effects of drugs by using linear neighborhood similarity. BMC Syst. Biol. 11 (6) (2017)
Yajing Chen, Shikui Tu, Yuqi Yi, Lei Xu
Sketch-pix2seq: a Model to Generate Sketches of Multiple Categories. CoRR (2017)
Weijian Long, Shikui Tu, Lei Xu
A Comparative Study on Lagrange Ying-Yang Alternation Method in Gaussian Mixture-Based Clustering. IDEAL (2017)
Wen Zhang, Yanlin Chen, Shikui Tu, Feng Liu, Qianlong Qu
Drug side effect prediction through linear neighborhoods and multiple data source integration. BIBM (2016)
Shikui Tu, Lei Xu
Learning binary factor analysis with automatic model selection. Neurocomputing 134 (2014)
Lei Shi, Zhiyong Liu, Shikui Tu, Lei Xu
Learning local factor analysis versus mixture of factor analyzers with automatic model selection. Neurocomputing 139 (2014)
Zaihu Pang, Shikui Tu, Xihong Wu, Lei Xu
A comparative study of RPCL and MCE based discriminative training methods for LVCSR. Neurocomputing 134 (2014)
Shikui Tu, Dingsheng Luo, Runsheng Chen, Lei Xu
A non-Gaussian factor analysis approach to transcription Network Component Analysis. CIBCB (2012)
Shikui Tu, Runsheng Chen, Lei Xu
Transcription Network Analysis by A Sparse Binary Factor Analysis Algorithm. J. Integr. Bioinform. 9 (2) (2012)
Shikui Tu, Lei Xu
A theoretical investigation of several model selection criteria for dimensionality reduction. Pattern Recognit. Lett. 33 (9) (2012)
Zaihu Pang, Shikui Tu, Xihong Wu, Lei Xu
Discriminative GMM-HMM Acoustic Model Selection Using Two-Level Bayesian Ying-Yang Harmony Learning. IScIDE (2012)
Shikui Tu, Lei Xu, Runsheng Chen
A binary matrix factorization algorithm for protein complex prediction. BIBM Workshops (2010)
Lei Shi, Shikui Tu, Lei Xu
Gene clustering by structural prior based local factor analysis model under Bayesian Ying-Yang harmony learning. BIBM (2010)
Shikui Tu, Lei Xu
A study of several model selection criteria for determining the number of signals. ICASSP (2010)
Shikui Tu, Lei Xu
Theoretical Analysis and Comparison of Several Criteria on Linear Model Dimension Reduction. ICA (2009)
Ke Sun, Shikui Tu, David Yang Gao, Lei Xu
Canonical Dual Approach to Binary Factor Analysis. ICA (2009)
Shikui Tu, Lei Shi, Lei Xu
A Comparative Study on Data Smoothing Regularization for Local Factor Analysis. ICANN (1) (2008)