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2020 – today
- 2025
[j26]Qin Ma, Shikui Tu, Lei Xu:
Cauchy-Schwarz bounded trade-off weighting for causal inference with small sample sizes. Int. J. Approx. Reason. 176: 109311 (2025)- 2024
- [j25]Tengjie Li
, Sicong Zang, Shikui Tu, Lei Xu:
Lmser-pix2seq: Learning stable sketch representations for sketch healing. Comput. Vis. Image Underst. 240: 103931 (2024) - [j24]Tianxiang Qin, Shikui Tu, Lei Xu:
IA-NGM: A bidirectional learning method for neural graph matching with feature fusion. Mach. Learn. 113(4): 1743-1769 (2024) - [j23]Sicong Zang, Shikui Tu, Lei Xu:
Self-Organizing a Latent Hierarchy of Sketch Patterns for Controllable Sketch Synthesis. IEEE Trans. Neural Networks Learn. Syst. 35(10): 14506-14518 (2024) - [c56]Zhousan Xie, Shikui Tu, Lei Xu:
Multilevel Attention Network with Semi-supervised Domain Adaptation for Drug-Target Prediction. AAAI 2024: 329-337 - [c55]Tengjie Li, Shikui Tu, Lei Xu:
SketchEdit: Editing Freehand Sketches at the Stroke-Level. IJCAI 2024: 4461-4469 - [c54]Xin Wang, Tengjie Li, Sicong Zang, Shikui Tu, Lei Xu:
Self-Supervised Learning for Enhancing Spatial Awareness in Free-Hand Sketches. IJCAI 2024: 5117-5125 - [c53]Yupei Yang, Biwei Huang, Shikui Tu, Lei Xu:
Boosting Efficiency in Task-Agnostic Exploration through Causal Knowledge. IJCAI 2024: 5344-5352 - [i9]Yupei Yang, Biwei Huang, Shikui Tu, Lei Xu:
Boosting Efficiency in Task-Agnostic Exploration through Causal Knowledge. CoRR abs/2407.20506 (2024) - 2023
- [j22]Hao Qian, Wenjing Huang, Shikui Tu, Lei Xu:
KGDiff: towards explainable target-aware molecule generation with knowledge guidance. Briefings Bioinform. 25(1) (2023) - [j21]Wenjing Huang, Shikui Tu, Lei Xu:
IA-FaceS: A bidirectional method for semantic face editing. Neural Networks 158: 272-292 (2023) - [j20]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): 100709 (2023) - [j19]Peng Zhang, Shikui Tu:
MGAE-DC: Predicting the synergistic effects of drug combinations through multi-channel graph autoencoders. PLoS Comput. Biol. 19(3) (2023) - [j18]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): 3314-3321 (2023) - [c52]Wenqi Guo, Lin Zhang, Shikui Tu, Lei Xu:
Self-Supervised Bidirectional Learning for Graph Matching. AAAI 2023: 7784-7792 - [c51]Sicong Zang, Shikui Tu, Lei Xu:
Linking Sketch Patches by Learning Synonymous Proximity for Graphic Sketch Representation. AAAI 2023: 11096-11103 - [c50]Yongchang Liu, Peiying Li, Shikui Tu, Lei Xu:
PEST: A General-Purpose Protein Embedding Model for Homology Search. BIBM 2023: 124-127 - [c49]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: 1718-1723 - [c48]Yangxin Zhu, Shikui Tu, Lin Zhang, Lei Xu:
Multi-source unsupervised domain-adaptation for automatic sleep staging. BIBM 2023: 2437-2440 - [c47]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: 1-2 - [c46]Yao Zhou, Ruidan Su, Shikui Tu, Lei Xu:
A Deep Temporal Factor Analysis Method for Large Scale Financial Portfolio Selection. ICASSP 2023: 1-5 - [c45]Tianpeng Wei, Biyang Zeng, Wenqi Guo, Zhenyu Guo, Shikui Tu, Lei Xu:
A Dynamic Graph Convolutional Network for Anti-money Laundering. ICIC (5) 2023: 493-502 - [c44]Mingfei Li, Shikui Tu, Lei Xu:
Generalizing Graph Network Models for the Traveling Salesman Problem with Lin-Kernighan-Helsgaun Heuristics. ICONIP (1) 2023: 528-539 - [c43]Peiying Li, Yongchang Liu, Shikui Tu, Lei Xu:
GLPocket: A Multi-Scale Representation Learning Approach for Protein Binding Site Prediction. IJCAI 2023: 4821-4828 - [c42]Dengwei Zhao, Shikui Tu, Lei Xu:
Generalized Weighted Path Consistency for Mastering Atari Games. NeurIPS 2023 - [i8]Wenjing Huang, Shikui Tu, Lei Xu:
PFB-Diff: Progressive Feature Blending Diffusion for Text-driven Image Editing. CoRR abs/2306.16894 (2023) - 2022
- [j17]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) - [j16]Peiying Li, Shikui Tu, Lei Xu:
Deep Rival Penalized Competitive Learning for low-resolution face recognition. Neural Networks 148: 183-193 (2022) - [j15]Wenjing Huang, Shikui Tu, Lei Xu:
Deep CNN Based Lmser and Strengths of Two Built-In Dualities. Neural Process. Lett. 54(5): 3565-3581 (2022) - [j14]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: 1-17 (2022) - [c41]Peiying Li, Boheng Cao, Shikui Tu, Lei Xu:
RecurPocket: Recurrent Lmser Network with Gating Mechanism for Protein Binding Site Detection. BIBM 2022: 334-339 - [c40]Qin Ma, Lin Zeng, Shikui Tu, Lei Xu:
Kernel Mean Matching with Mahalanobis Distance for Causal Inference of Time-to-event Outcome. BIBM 2022: 509-514 - [c39]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: 1369-1374 - [c38]Peng Zhang, Shikui Tu:
A knowledge graph embedding-based method for predicting the synergistic effects of drug combinations. BIBM 2022: 1974-1981 - [c37]Lin Zhang, Yangxin Zhu, Shikui Tu, Lei Xu:
A Feature Polymerized Based Two-Level Ensemble Model for Respiratory Sound Classification. BioCAS 2022: 238-242 - [c36]Xiangzhe Guo, Shikui Tu, Lei Xu:
Learning to Generate Textual Adversarial Examples. ICANN (1) 2022: 195-206 - [c35]Dengwei Zhao, Shikui Tu, Lei Xu:
Efficient Learning for AlphaZero via Path Consistency. ICML 2022: 26971-26981 - [c34]Xiangzhe Guo, Ruidan Su, Shikui Tu, Lei Xu:
Searching for Textual Adversarial Examples with Learned Strategy. ICONIP (4) 2022: 385-396 - [c33]Haoran Ma, Shikui Tu, Lei Xu:
IA-CL: A Deep Bidirectional Competitive Learning Method for Traveling Salesman Problem. ICONIP (1) 2022: 525-536 - [c32]Wenjing Huang, Shikui Tu, Lei Xu:
Box-FaceS: A Bidirectional Method for Box-Guided Face Component Editing. ACM Multimedia 2022: 6061-6071 - [i7]Wenjing Huang, Shikui Tu, Lei Xu:
IA-FaceS: A Bidirectional Method for Semantic Face Editing. CoRR abs/2203.13097 (2022) - [i6]Sicong Zang, Shikui Tu, Lei Xu:
Linking Sketch Patches by Learning Synonymous Proximity for Graphic Sketch Representation. CoRR abs/2211.16841 (2022) - 2021
- [j13]Sicong Zang, Shikui Tu, Lei Xu:
Controllable stroke-based sketch synthesis from a self-organized latent space. Neural Networks 137: 138-150 (2021) - [j12]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): 1242-1249 (2021) - [c31]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: 643-650 - [c30]Kaixuan Zhao, Shikui Tu, Lei Xu:
IA-GM: A Deep Bidirectional Learning Method for Graph Matching. AAAI 2021: 3474-3482 - [c29]Peng Zhang, Shikui Tu:
DeepBSI: a multimodal deep learning framework for predicting the transcription factor binding site and intensity. BIBM 2021: 785-788 - [c28]Boheng Cao, Shikui Tu, Lei Xu:
Flexible-CLmser: Regularized Feedback Connections for Biomedical Image Segmentation. BIBM 2021: 829-835 - [c27]Fucheng Deng, Shikui Tu, Lei Xu:
Multi-source unsupervised domain adaptation for ECG classification. BIBM 2021: 854-859 - [c26]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: 1026-1031 - [c25]Haodong Nie, Shikui Tu, Lei Xu:
RecSleepNet: An Automatic Sleep Staging Model Based on Feature Reconstruction. BIBM 2021: 1458-1461 - [c24]Qingjie Sheng, Shikui Tu, Lei Xu:
A Consistency Enhanced Deep Lmser Network for Face Sketch Synthesis. PRICAI (1) 2021: 127-138 - [i5]Peiying Li, Shikui Tu, Lei Xu:
Deep Rival Penalized Competitive Learning for Low-resolution Face Recognition. CoRR abs/2108.01286 (2021) - 2020
- [j11]Zhihao Xing, Shikui Tu:
A Graph Neural Network Assisted Monte Carlo Tree Search Approach to Traveling Salesman Problem. IEEE Access 8: 108418-108428 (2020) - [j10]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): 38-57 (2020) - [c23]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: 4403-4409 - [i4]Zhihao Xing, Shikui Tu, Lei Xu:
Solve Traveling Salesman Problem by Monte Carlo Tree Search and Deep Neural Network. CoRR abs/2005.06879 (2020)
2010 – 2019
- 2019
- [j9]Qingsong Xie, Shikui Tu, Guoxing Wang, Yong Lian, Lei Xu:
Feature Enrichment Based Convolutional Neural Network for Heartbeat Classification From Electrocardiogram. IEEE Access 7: 153751-153760 (2019) - [j8]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): D181-D187 (2019) - [c22]Jin-Xiong Lv, Shikui Tu, Lei Xu:
A two-variate phenotype-targeted test for detection of phenotypic biomarkers on breast cancer. BIBM 2019: 840-845 - [c21]Yuze Guo, Wenjing Huang, Yajing Chen, Shikui Tu:
Regularize Network Skip Connections by Gating Mechanisms for Electron Microscopy Image Segmentation. ICME 2019: 868-873 - [c20]Haote Yang, Shikui Tu:
GLmser: A GAN-Lmser Network for Image-to-Image Translation. ICTAI 2019: 582-589 - [c19]Minchao Li, Shikui Tu, Lei Xu:
Computational Decomposition of Style for Controllable and Enhanced Style Transfer. IScIDE (2) 2019: 15-39 - [c18]Wenjing Huang, Shikui Tu, Lei Xu:
Revisit Lmser from a Deep Learning Perspective. IScIDE (2) 2019: 197-208 - [c17]Zhiwen Qiang, Shikui Tu, Lei Xu:
A k-Dense-UNet for Biomedical Image Segmentation. IScIDE (1) 2019: 552-562 - [c16]Peiying Li, Shikui Tu, Lei Xu:
GAN Flexible Lmser for Super-resolution. ACM Multimedia 2019: 756-764 - [i3]Wenjing Huang, Shikui Tu, Lei Xu:
Revisit Lmser and its further development based on convolutional layers. CoRR abs/1904.06307 (2019) - 2018
- [j7]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): W43-W48 (2018) - [c15]Jin-Xiong Lv, Shikui Tu:
Integration of Data-Space and Statistics-Space Boundary-Based Test to Control the False Positive Rate. ICIC (3) 2018: 628-638 - [c14]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: 663-671 - [i2]Minchao Li, Shikui Tu, Lei Xu:
Computational Decomposition of Style for Controllable and Enhanced Style Transfer. CoRR abs/1811.08668 (2018) - 2017
- [j6]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): 23-34 (2017) - [c13]Weijian Long, Shikui Tu, Lei Xu:
A Comparative Study on Lagrange Ying-Yang Alternation Method in Gaussian Mixture-Based Clustering. IDEAL 2017: 489-499 - [c12]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: 619-630 - [c11]Yajing Chen, Shikui Tu, Lei Xu:
The Prognostic Role of Genes with Skewed Expression Distribution in Lung Adenocarcinoma. IScIDE 2017: 631-640 - [c10]Yajing Chen, Shikui Tu, Lei Xu:
Survival-Expression Map and Essential Forms of Survival-Expression Relations for Genes. IScIDE 2017: 641-649 - [i1]Yajing Chen, Shikui Tu, Yuqi Yi, Lei Xu:
Sketch-pix2seq: a Model to Generate Sketches of Multiple Categories. CoRR abs/1709.04121 (2017) - 2016
- [c9]Wen Zhang, Yanlin Chen, Shikui Tu, Feng Liu, Qianlong Qu:
Drug side effect prediction through linear neighborhoods and multiple data source integration. BIBM 2016: 427-434 - 2014
- [j5]Zaihu Pang, Shikui Tu, Xihong Wu, Lei Xu:
A comparative study of RPCL and MCE based discriminative training methods for LVCSR. Neurocomputing 134: 53-59 (2014) - [j4]Shikui Tu, Lei Xu:
Learning binary factor analysis with automatic model selection. Neurocomputing 134: 149-158 (2014) - [j3]Lei Shi, Zhiyong Liu, Shikui Tu, Lei Xu:
Learning local factor analysis versus mixture of factor analyzers with automatic model selection. Neurocomputing 139: 3-14 (2014) - 2012
- [j2]Shikui Tu, Runsheng Chen, Lei Xu:
Transcription Network Analysis by A Sparse Binary Factor Analysis Algorithm. J. Integr. Bioinform. 9(2) (2012) - [j1]Shikui Tu, Lei Xu:
A theoretical investigation of several model selection criteria for dimensionality reduction. Pattern Recognit. Lett. 33(9): 1117-1126 (2012) - [c8]Shikui Tu, Dingsheng Luo, Runsheng Chen, Lei Xu:
A non-Gaussian factor analysis approach to transcription Network Component Analysis. CIBCB 2012: 404-411 - [c7]Zaihu Pang, Shikui Tu, Xihong Wu, Lei Xu:
Discriminative GMM-HMM Acoustic Model Selection Using Two-Level Bayesian Ying-Yang Harmony Learning. IScIDE 2012: 719-726 - 2010
- [c6]Shikui Tu, Lei Xu, Runsheng Chen:
A binary matrix factorization algorithm for protein complex prediction. BIBM Workshops 2010: 113-118 - [c5]Lei Shi, Shikui Tu, Lei Xu:
Gene clustering by structural prior based local factor analysis model under Bayesian Ying-Yang harmony learning. BIBM 2010: 696-699 - [c4]Shikui Tu, Lei Xu:
A study of several model selection criteria for determining the number of signals. ICASSP 2010: 1966-1969
2000 – 2009
- 2009
- [c3]Shikui Tu, Lei Xu:
Theoretical Analysis and Comparison of Several Criteria on Linear Model Dimension Reduction. ICA 2009: 154-162 - [c2]Ke Sun, Shikui Tu, David Yang Gao, Lei Xu:
Canonical Dual Approach to Binary Factor Analysis. ICA 2009: 346-353 - 2008
- [c1]Shikui Tu, Lei Shi, Lei Xu:
A Comparative Study on Data Smoothing Regularization for Local Factor Analysis. ICANN (1) 2008: 265-274
Coauthor Index
[j26] [j25] [j24] [j23] [c56] [c55] [c54] [c53] [i9] [j22] [j21] [j20] [j18] [c52] [c51] [c50] [c49] [c48] [c47] [c46] [c45] [c44] [c43] [c42] [i8] [j17] [j16] [j15] [c41] [c40] [c39] [c37] [c36] [c35] [c34] [c33] [c32] [i7] [i6] [j13] [j12] [c31] [c30] [c28] [c27] [c26] [c25] [c24] [i5] [j10] [c23] [i4] [j9] [c22] [c19] [c18] [c17] [c16] [i3] [c14] [i2] [c13] [c12] [c11] [c10] [i1] [j5] [j4] [j3] [j2] [j1] [c8] [c7] [c6] [c5] [c4] [c3] [c2] [c1]
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