A Comparative Study on Data Smoothing Regularization for Local Factor Analysis. - Shikui Tu; Lei Shi 016; Lei Xu 001 (ICANN (1), 2008)

Canonical Dual Approach to Binary Factor Analysis. - Ke Sun 001; Shikui Tu; David Yang Gao; Lei Xu 001 (ICA, 2009)

Theoretical Analysis and Comparison of Several Criteria on Linear Model Dimension Reduction. - Shikui Tu; Lei Xu 001 (ICA, 2009)

Gene clustering by structural prior based local factor analysis model under Bayesian Ying-Yang harmony learning. - Lei Shi 016; Shikui Tu; Lei Xu 001 (BIBM, 2010)

A binary matrix factorization algorithm for protein complex prediction. - Shikui Tu; Lei Xu 001; Runsheng Chen (BIBM Workshops, 2010)

A study of several model selection criteria for determining the number of signals. - Shikui Tu; Lei Xu 001 (ICASSP, 2010)

A non-Gaussian factor analysis approach to transcription Network Component Analysis. - Shikui Tu; Dingsheng Luo; Runsheng Chen; Lei Xu 001 (CIBCB, 2012)

Discriminative GMM-HMM Acoustic Model Selection Using Two-Level Bayesian Ying-Yang Harmony Learning. - Zaihu Pang; Shikui Tu; Xihong Wu; Lei Xu 001 (IScIDE, 2012)

Transcription Network Analysis by A Sparse Binary Factor Analysis Algorithm. - Shikui Tu; Runsheng Chen; Lei Xu 001 (J. Integr. Bioinform., 2012)

A theoretical investigation of several model selection criteria for dimensionality reduction. - Shikui Tu; Lei Xu 001 (Pattern Recognit. Lett., 2012)

A comparative study of RPCL and MCE based discriminative training methods for LVCSR. - Zaihu Pang; Shikui Tu; Xihong Wu; Lei Xu 001 (Neurocomputing, 2014)

Learning local factor analysis versus mixture of factor analyzers with automatic model selection. - Lei Shi 016; Zhiyong Liu; Shikui Tu; Lei Xu 001 (Neurocomputing, 2014)

Learning binary factor analysis with automatic model selection. - Shikui Tu; Lei Xu 001 (Neurocomputing, 2014)

Drug side effect prediction through linear neighborhoods and multiple data source integration. - Wen Zhang 008; Yanlin Chen 002; Shikui Tu; Feng Liu; Qianlong Qu (BIBM, 2016)

A Comparative Study on Lagrange Ying-Yang Alternation Method in Gaussian Mixture-Based Clustering. - Weijian Long; Shikui Tu; Lei Xu 001 (IDEAL, 2017)

The Prognostic Role of Genes with Skewed Expression Distribution in Lung Adenocarcinoma. - Yajing Chen; Shikui Tu; Lei Xu 001 (IScIDE, 2017)

Survival-Expression Map and Essential Forms of Survival-Expression Relations for Genes. - Yajing Chen; Shikui Tu; Lei Xu 001 (IScIDE, 2017)

A Comparative Study of Joint-SNVs Analysis Methods and Detection of Susceptibility Genes for Gastric Cancer in Korean Population. - Jin-Xiong Lv; Shikui Tu; Lei Xu 001 (IScIDE, 2017)

A unified frame of predicting side effects of drugs by using linear neighborhood similarity. - Wen Zhang 008; Xiang Yue; Feng Liu; Yanlin Chen 002; Shikui Tu; Xining Zhang (BMC Syst. Biol., 2017)

Sketch-pix2seq: a Model to Generate Sketches of Multiple Categories. - Yajing Chen; Shikui Tu; Yuqi Yi; Lei Xu 001 (CoRR, 2017)

Integration of Data-Space and Statistics-Space Boundary-Based Test to Control the False Positive Rate. - Jin-Xiong Lv; Shikui Tu (ICIC (3), 2018)

An Enviro-Geno-Pheno State Analysis Framework for Biomarker Study. - Han-Chen Huang; Xianzi Wen; Shikui Tu; Jiafu Ji; Runsheng Chen; Lei Xu 001 (IScIDE, 2018)

pirScan: a webserver to predict piRNA targeting sites and to avoid transgene silencing in C. elegans. - Wei-Sheng Wu; Wei-Che Huang; Jordan S. Brown; Donglei Zhang; Xiaoyan Song; Hao Chen; Shikui Tu; Zhiping Weng; Heng-Chi Lee (Nucleic Acids Res., 2018)

A two-variate phenotype-targeted test for detection of phenotypic biomarkers on breast cancer. - Jin-Xiong Lv; Shikui Tu; Lei Xu 001 (BIBM, 2019)

Regularize Network Skip Connections by Gating Mechanisms for Electron Microscopy Image Segmentation. - Yuze Guo; Wenjing Huang; Yajing Chen; Shikui Tu (ICME, 2019)

GLmser: A GAN-Lmser Network for Image-to-Image Translation. - Haote Yang; Shikui Tu (ICTAI, 2019)

Revisit Lmser from a Deep Learning Perspective. - Wenjing Huang; Shikui Tu; Lei Xu 001 (IScIDE (2), 2019)

Computational Decomposition of Style for Controllable and Enhanced Style Transfer. - Minchao Li; Shikui Tu; Lei Xu 001 (IScIDE (2), 2019)

A k-Dense-UNet for Biomedical Image Segmentation. - Zhiwen Qiang; Shikui Tu; Lei Xu 001 (IScIDE (1), 2019)

GAN Flexible Lmser for Super-resolution. - Peiying Li; Shikui Tu; Lei Xu 001 (ACM Multimedia, 2019)

Feature Enrichment Based Convolutional Neural Network for Heartbeat Classification From Electrocardiogram. - Qingsong Xie; Shikui Tu; Guoxing Wang; Yong Lian 001; Lei Xu 001 (IEEE Access, 2019)

Revisit Lmser and its further development based on convolutional layers. - Wenjing Huang; Shikui Tu; Lei Xu 001 (CoRR, 2019)

piRTarBase: a database of piRNA targeting sites and their roles in gene regulation. - Wei-Sheng Wu; Jordan S. Brown; Tsung-Te Chen; Yu-Han Chu; Wei-Che Huang; Shikui Tu; Heng-Chi Lee (Nucleic Acids Res., 2019)

Discrete Biorthogonal Wavelet Transform Based Convolutional Neural Network for Atrial Fibrillation Diagnosis from Electrocardiogram. - Qingsong Xie; Shikui Tu; Guoxing Wang; Yong Lian 001; Lei Xu 001 (IJCAI, 2020)

A Graph Neural Network Assisted Monte Carlo Tree Search Approach to Traveling Salesman Problem. - Zhihao Xing; Shikui Tu (IEEE Access, 2020)

Solve Traveling Salesman Problem by Monte Carlo Tree Search and Deep Neural Network. - Zhihao Xing; Shikui Tu; Lei Xu 001 (CoRR, 2020)

Two-variate phenotype-targeted tests for detecting phenotypic biomarkers in cancers. - Jin-Xiong Lv; Shikui Tu; Lei Xu 001 (Int. J. Data Min. Bioinform., 2020)

DeepTrader: A Deep Reinforcement Learning Approach for Risk-Return Balanced Portfolio Management with Market Conditions Embedding. - Zhicheng Wang; Biwei Huang; Shikui Tu; Kun Zhang 001; Lei Xu 001 (AAAI, 2021)

IA-GM: A Deep Bidirectional Learning Method for Graph Matching. - Kaixuan Zhao; Shikui Tu; Lei Xu 001 (AAAI, 2021)

Flexible-CLmser: Regularized Feedback Connections for Biomedical Image Segmentation. - Boheng Cao; Shikui Tu; Lei Xu 001 (BIBM, 2021)

Multi-source unsupervised domain adaptation for ECG classification. - Fucheng Deng; Shikui Tu; Lei Xu 001 (BIBM, 2021)

Enriching computed tomography images by projection for robust automated cerebral aneurysm detection and segmentation. - Rui Ma; Shikui Tu; Peiying Li; Jiafeng Zhou; Bing Zhao; Jieqing Wan; Lei Xu 001 (BIBM, 2021)

RecSleepNet: An Automatic Sleep Staging Model Based on Feature Reconstruction. - Haodong Nie; Shikui Tu; Lei Xu 001 (BIBM, 2021)

DeepBSI: a multimodal deep learning framework for predicting the transcription factor binding site and intensity. - Peng Zhang; Shikui Tu (BIBM, 2021)

A Consistency Enhanced Deep Lmser Network for Face Sketch Synthesis. - Qingjie Sheng; Shikui Tu; Lei Xu 001 (PRICAI (1), 2021)

Controllable stroke-based sketch synthesis from a self-organized latent space. - Sicong Zang; Shikui Tu; Lei Xu 001 (Neural Networks, 2021)

Detection of Phenotype-Related Mutations of COVID-19 via the Whole Genomic Data. - Jin-Xiong Lv; Shikui Tu; Lei Xu 001 (IEEE ACM Trans. Comput. Biol. Bioinform., 2021)

RecurPocket: Recurrent Lmser Network with Gating Mechanism for Protein Binding Site Detection. - Peiying Li; Boheng Cao; Shikui Tu; Lei Xu 001 (BIBM, 2022)

Kernel Mean Matching with Mahalanobis Distance for Causal Inference of Time-to-event Outcome. - Qin Ma; Lin Zeng; Shikui Tu; Lei Xu 001 (BIBM, 2022)

VentSR: A Self-Rectifying Deep Learning Method for Extubation Readiness Prediction. - Lin Zeng; Haoran Ma; Long Xiang; Shikui Tu; Ying Wang; Liebin Zhao; Lei Xu 001 (BIBM, 2022)

A knowledge graph embedding-based method for predicting the synergistic effects of drug combinations. - Peng Zhang; Shikui Tu (BIBM, 2022)

A Feature Polymerized Based Two-Level Ensemble Model for Respiratory Sound Classification. - Lin Zhang; Yangxin Zhu; Shikui Tu; Lei Xu 001 (BioCAS, 2022)

Learning to Generate Textual Adversarial Examples. - Xiangzhe Guo; Shikui Tu; Lei Xu 001 (ICANN (1), 2022)

Efficient Learning for AlphaZero via Path Consistency. - Dengwei Zhao; Shikui Tu; Lei Xu 001 (ICML, 2022)

Searching for Textual Adversarial Examples with Learned Strategy. - Xiangzhe Guo; Ruidan Su; Shikui Tu; Lei Xu 001 (ICONIP (4), 2022)

IA-CL: A Deep Bidirectional Competitive Learning Method for Traveling Salesman Problem. - Haoran Ma; Shikui Tu; Lei Xu 001 (ICONIP (1), 2022)

Box-FaceS: A Bidirectional Method for Box-Guided Face Component Editing. - Wenjing Huang; Shikui Tu; Lei Xu 001 (ACM Multimedia, 2022)

Deep Rival Penalized Competitive Learning for low-resolution face recognition. - Peiying Li; Shikui Tu; Lei Xu 001 (Neural Networks, 2022)

Deep CNN Based Lmser and Strengths of Two Built-In Dualities. - Wenjing Huang; Shikui Tu; Lei Xu 001 (Neural Process. Lett., 2022)

MSLM-RF: A Spatial Feature Enhanced Random Forest for On-Board Hyperspectral Image Classification. - Shuai Yuan 016; Yanan Sun 003; Weifeng He; Qianrong Gu; Shi Xu; Zhigang Mao; Shikui Tu (IEEE Trans. Geosci. Remote. Sens., 2022)

Predicting cell line-specific synergistic drug combinations through a relational graph convolutional network with attention mechanism. - Peng Zhang 098; Shikui Tu; Wen Zhang; Lei Xu 001 (Briefings Bioinform., 2022)

Self-Supervised Bidirectional Learning for Graph Matching. - Wenqi Guo; Lin Zhang; Shikui Tu; Lei Xu 001 (AAAI, 2023)

Linking Sketch Patches by Learning Synonymous Proximity for Graphic Sketch Representation. - Sicong Zang; Shikui Tu; Lei Xu 001 (AAAI, 2023)

PEST: A General-Purpose Protein Embedding Model for Homology Search. - Yongchang Liu; Peiying Li; Shikui Tu; Lei Xu 001 (BIBM, 2023)

A Deep Learning Method with Multi-view Attention and Multi-branch GCN for BECT Diagnosis. - Lin Zhang; Yun Ren; Fang Yuan; Yangxin Zhu; Shikui Tu; Yucai Chen; Lei Xu 001 (BIBM, 2023)

Multi-source unsupervised domain-adaptation for automatic sleep staging. - Yangxin Zhu; Shikui Tu; Lin Zhang; Lei Xu 001 (BIBM, 2023)

DeepTH: Chip Placement with Deep Reinforcement Learning Using a Three-Head Policy Network. - Dengwei Zhao; Shuai Yuan 016; Yanan Sun 003; Shikui Tu; Lei Xu 001 (DATE, 2023)

A Deep Temporal Factor Analysis Method for Large Scale Financial Portfolio Selection. - Yao Zhou; Ruidan Su; Shikui Tu; Lei Xu 001 (ICASSP, 2023)

A Dynamic Graph Convolutional Network for Anti-money Laundering. - Tianpeng Wei; Biyang Zeng; Wenqi Guo; Zhenyu Guo; Shikui Tu; Lei Xu 001 (ICIC (5), 2023)

Generalizing Graph Network Models for the Traveling Salesman Problem with Lin-Kernighan-Helsgaun Heuristics. - Mingfei Li; Shikui Tu; Lei Xu 001 (ICONIP (1), 2023)

GLPocket: A Multi-Scale Representation Learning Approach for Protein Binding Site Prediction. - Peiying Li; Yongchang Liu; Shikui Tu; Lei Xu 001 (IJCAI, 2023)

Generalized Weighted Path Consistency for Mastering Atari Games. - Dengwei Zhao; Shikui Tu; Lei Xu 001 (NeurIPS, 2023)

RefinePocket: An Attention-Enhanced and Mask-Guided Deep Learning Approach for Protein Binding Site Prediction. - Yongchang Liu; Peiying Li; Shikui Tu; Lei Xu 001 (IEEE ACM Trans. Comput. Biol. Bioinform., 2023)

IA-FaceS: A bidirectional method for semantic face editing. - Wenjing Huang; Shikui Tu; Lei Xu 001 (Neural Networks, 2023)

MGAE-DC: Predicting the synergistic effects of drug combinations through multi-channel graph autoencoders. - Peng Zhang 098; Shikui Tu (PLoS Comput. Biol., 2023)

A deep-learning method for the end-to-end prediction of intracranial aneurysm rupture risk. - Peiying Li; Yongchang Liu; Jiafeng Zhou; Shikui Tu; Bing Zhao; Jieqing Wan; Yunjun Yang; Lei Xu 001 (Patterns, 2023)

KGDiff: towards explainable target-aware molecule generation with knowledge guidance. - Hao Qian; Wenjing Huang; Shikui Tu; Lei Xu 001 (Briefings Bioinform., 2023)

Multilevel Attention Network with Semi-supervised Domain Adaptation for Drug-Target Prediction. - Zhousan Xie; Shikui Tu; Lei Xu 001 (AAAI, 2024)

MulMol: Transformer-based Multi-Task Molecular Representation Learning. - Dengdeng Huang; Shikui Tu (BIBM, 2024)

A Multimodal Deep Neural Network for Causally Learning Chest X-ray Images. - Qin Ma; Lin Zeng; Shikui Tu; Lei Xu 001 (BIBM, 2024)

Novelty Encouraged Beam Clustering Search for Multi-Objective De Novo Diverse Drug Design. - Dengwei Zhao; Shikui Tu; Lei Xu 001 (BIBM, 2024)

SketchEdit: Editing Freehand Sketches at the Stroke-Level. - Tengjie Li; Shikui Tu; Lei Xu 001 (IJCAI, 2024)

Self-Supervised Learning for Enhancing Spatial Awareness in Free-Hand Sketches. - Xin Wang; Tengjie Li; Sicong Zang; Shikui Tu; Lei Xu 001 (IJCAI, 2024)

Boosting Efficiency in Task-Agnostic Exploration through Causal Knowledge. - Yupei Yang; Biwei Huang; Shikui Tu; Lei Xu 001 (IJCAI, 2024)

SeeA*: Efficient Exploration-Enhanced A* Search by Selective Sampling. - Dengwei Zhao; Shikui Tu; Lei Xu 001 (NeurIPS, 2024)

Lmser-pix2seq: Learning stable sketch representations for sketch healing. - Tengjie Li; Sicong Zang; Shikui Tu; Lei Xu 001 (Comput. Vis. Image Underst., 2024)

A Deep Reinforcement Learning Approach for Portfolio Management in Non-Short-Selling Market. - Ruidan Su; Chun Chi; Shikui Tu; Lei Xu 001 (IET Signal Process., 2024)

De Novo Drug Design by Multi-Objective Path Consistency Learning With Beam A* Search. - Dengwei Zhao; Jingyuan Zhou; Shikui Tu; Lei Xu 001 (IEEE ACM Trans. Comput. Biol. Bioinform., 2024)

IA-NGM: A bidirectional learning method for neural graph matching with feature fusion. - Tianxiang Qin; Shikui Tu; Lei Xu 001 (Mach. Learn., 2024)

Self-Organizing a Latent Hierarchy of Sketch Patterns for Controllable Sketch Synthesis. - Sicong Zang; Shikui Tu; Lei Xu 001 (IEEE Trans. Neural Networks Learn. Syst., 2024)

Towards Generalizable Reinforcement Learning via Causality-Guided Self-Adaptive Representations. - Yupei Yang; Biwei Huang; Fan Feng; Xinyue Wang; Shikui Tu; Lei Xu 001 (ICLR, 2025)

Cauchy-Schwarz bounded trade-off weighting for causal inference with small sample sizes. - Qin Ma; Shikui Tu; Lei Xu 001 (Int. J. Approx. Reason., 2025)

PFB-Diff: Progressive Feature Blending diffusion for text-driven image editing. - Wenjing Huang; Shikui Tu; Lei Xu 001 (Neural Networks, 2025)

Non-Linear Flow Matching for Full-Atom Peptide Design. - Dengdeng Huang; Shikui Tu (CoRR, 2025)

SketchMLP: effectively utilize rasterized images and drawing sequences for sketch recognition. - Tengjie Li; Shikui Tu; Lei Xu 001 (Mach. Learn., 2025)

DEPTH: Hallucination-Free Relation Extraction via Dependency-Aware Sentence Simplification and Two-tiered Hierarchical Refinement. - Yupei Yang; Fan Feng; Lin Yang; Wanxi Deng; Lin Qu; Biwei Huang; Shikui Tu; Lei Xu (CoRR, 2025)