Shikui Tu - RankMe

120 papers A* 18A 2B 1C 2Misc 2Journal 52Unranked 43

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	An EEG-based dual-stream spatial-spectral-temporal large model for self-limited epilepsy with centrotemporal spikes. Expert Syst. Appl. Lin Zhang, Yun Ren, Fang Yuan, Xuqin Chen, Shikui Tu, Lei Xu
2026	J	`jnl`	DS2SC-Agent: A Multi-Agent Automated Pipeline for Rapid Chiplet Model Generation. CoRR Yiwei Wu, Yifan Wu, Yunhao Xiong, Dengwei Zhao, Jiaxuan Shen, Jianfei Jiang, Guanghui He, Shikui Tu, Yanan Sun
2026	J	`jnl`	Factored Causal Representation Learning for Robust Reward Modeling in RLHF. CoRR Yupei Yang, Lin Yang, Wanxi Deng, Lin Qu, Fan Feng, Biwei Huang, Shikui Tu, Lei Xu
2026	A*	`conf`	Full-Atom Peptide Design via Riemannian-Euclidean Bayesian Flow Networks. AAAI Hao Qian, Shikui Tu, Lei Xu
2026	J	`jnl`	PAIRNet: Predicting PIWI cleavage specificity via position-aware RNA interaction modeling. PLoS Comput. Biol. Lin Zeng, Zhenzhen Li, Enzhi Shen, Shikui Tu, Lei Xu
2026	A*	`conf`	SEBSFormer: A Spectral-Enhanced Bi-Stream Transformer for Robust EEG Decoding. AAAI Lin Zhang, Shikui Tu, Lei Xu
2026	J	`jnl`	UniRank: End-to-End Domain-Specific Reranking of Hybrid Text-Image Candidates. CoRR Yupei Yang, Lin Yang, Wanxi Deng, Lin Qu, Shikui Tu, Lei Xu
2025	—	`conf`	A Transform-Domain Approach with Symmetric and Edge Constraints for MRI Super-Resolution. BIBM Han Zhang, Yu Lu, Ran Wang, Dian Ding, Mengying Zhu, Shengyun He, Ling Ma, Yi-Chao Chen, Ruokun Li, Shikui Tu, Guangyu Wu, Guangtao Xue
2025	—	`conf`	CATSyn: Predicting Synergistic Drug Combinations Through Context-Aware Heterogeneous Graph Convolution Model. BIBM Biyang Zeng, Shikui Tu, Wen Zhang, Lei Xu
2025	J	`jnl`	Cauchy-Schwarz bounded trade-off weighting for causal inference with small sample sizes. Int. J. Approx. Reason. Qin Ma, Shikui Tu, Lei Xu
2025	J	`jnl`	DEPTH: Hallucination-Free Relation Extraction via Dependency-Aware Sentence Simplification and Two-tiered Hierarchical Refinement. CoRR Yupei Yang, Fan Feng, Lin Yang, Wanxi Deng, Lin Qu, Biwei Huang, Shikui Tu, Lei Xu
2025	—	`conf`	Enhancing piRNA Cleavage Prediction with piR-DANN: Integrating In Vitro and In Vivo Insights. BIBM Lin Zeng, Shikui Tu, Lei Xu
2025	J	`jnl`	Full-Atom Peptide Design via Riemannian-Euclidean Bayesian Flow Networks. CoRR Hao Qian, Shikui Tu, Lei Xu
2025	J	`jnl`	Generative design and validation of therapeutic peptides for glioblastoma based on a potential target ATP5A. CoRR Hao Qian, Pu You, Lin Zeng, Jingyuan Zhou, Dengdeng Huang, Kaicheng Li, Shikui Tu, Lei Xu
2025	J	`jnl`	GraphFusion: Integrative prediction of drug synergy using multi-scale graph representations and cell line contexts. J. Biomed. Informatics Biyang Zeng, Shikui Tu, Lei Xu
2025	J	`jnl`	Multi-Objective Structure-Based Drug Design Using Causal Discovery. IEEE Trans. Comput. Biol. Bioinform. Jingyuan Zhou, Dengwei Zhao, Hao Qian, Shikui Tu, Lei Xu
2025	J	`jnl`	Non-Linear Flow Matching for Full-Atom Peptide Design. CoRR Dengdeng Huang, Shikui Tu
2025	J	`jnl`	PFB-Diff: Progressive Feature Blending diffusion for text-driven image editing. Neural Networks Wenjing Huang, Shikui Tu, Lei Xu
2025	J	`jnl`	Prior-Guided Flow Matching for Target-Aware Molecule Design with Learnable Atom Number. CoRR Jingyuan Zhou, Hao Qian, Shikui Tu, Lei Xu
2025	—	`conf`	S3GA: Towards Scalable Self-Supervised Learning for Large Scale Graph Alignment. KDD (2) Wenqi Guo, Shikui Tu, Lei Xu
2025	J	`jnl`	SketchMLP: effectively utilize rasterized images and drawing sequences for sketch recognition. Mach. Learn. Tengjie Li, Shikui Tu, Lei Xu
2025	—	`conf`	THFlow: A Temporally Hierarchical Flow Matching Framework for 3D Peptide Design. BIBM Dengdeng Huang, Shikui Tu
2025	J	`jnl`	Text to Sketch Generation with Multi-Styles. CoRR Tengjie Li, Shikui Tu, Lei Xu
2025	A*	`conf`	Towards Generalizable Reinforcement Learning via Causality-Guided Self-Adaptive Representations. ICLR Yupei Yang, Biwei Huang, Fan Feng, Xinyue Wang, Shikui Tu, Lei Xu
2024	J	`jnl`	A Deep Reinforcement Learning Approach for Portfolio Management in Non-Short-Selling Market. IET Signal Process. Ruidan Su, Chun Chi, Shikui Tu, Lei Xu
2024	—	`conf`	A Multimodal Deep Neural Network for Causally Learning Chest X-ray Images. BIBM Qin Ma, Lin Zeng, Shikui Tu, Lei Xu
2024	A*	`conf`	Boosting Efficiency in Task-Agnostic Exploration through Causal Knowledge. IJCAI Yupei Yang, Biwei Huang, Shikui Tu, Lei Xu
2024	J	`jnl`	Boosting Efficiency in Task-Agnostic Exploration through Causal Knowledge. CoRR Yupei Yang, Biwei Huang, Shikui Tu, Lei Xu
2024	J	`jnl`	De Novo Drug Design by Multi-Objective Path Consistency Learning With Beam A IEEE ACM Trans. Comput. Biol. Bioinform. Dengwei Zhao, Jingyuan Zhou, Shikui Tu, Lei Xu
2024	J	`jnl`	IA-NGM: A bidirectional learning method for neural graph matching with feature fusion. Mach. Learn. Tianxiang Qin, Shikui Tu, Lei Xu
2024	J	`jnl`	KGDiff: towards explainable target-aware molecule generation with knowledge guidance. Briefings Bioinform. Hao Qian, Wenjing Huang, Shikui Tu, Lei Xu
2024	J	`jnl`	Lmser-pix2seq: Learning stable sketch representations for sketch healing. Comput. Vis. Image Underst. Tengjie Li, Sicong Zang, Shikui Tu, Lei Xu
2024	—	`conf`	MulMol: Transformer-based Multi-Task Molecular Representation Learning. BIBM Dengdeng Huang, Shikui Tu
2024	A*	`conf`	Multilevel Attention Network with Semi-supervised Domain Adaptation for Drug-Target Prediction. AAAI Zhousan Xie, Shikui Tu, Lei Xu
2024	—	`conf`	Novelty Encouraged Beam Clustering Search for Multi-Objective De Novo Diverse Drug Design. BIBM Dengwei Zhao, Shikui Tu, Lei Xu
2024	A*	`conf`	SeeA: Efficient Exploration-Enhanced A Search by Selective Sampling. NeurIPS Dengwei Zhao, Shikui Tu, Lei Xu
2024	J	`jnl`	Self-Organizing a Latent Hierarchy of Sketch Patterns for Controllable Sketch Synthesis. IEEE Trans. Neural Networks Learn. Syst. Sicong Zang, Shikui Tu, Lei Xu
2024	A*	`conf`	Self-Supervised Learning for Enhancing Spatial Awareness in Free-Hand Sketches. IJCAI Xin Wang, Tengjie Li, Sicong Zang, Shikui Tu, Lei Xu
2024	A*	`conf`	SketchEdit: Editing Freehand Sketches at the Stroke-Level. IJCAI Tengjie Li, Shikui Tu, Lei Xu
2023	—	`conf`	A Deep Learning Method with Multi-view Attention and Multi-branch GCN for BECT Diagnosis. BIBM Lin Zhang, Yun Ren, Fang Yuan, Yangxin Zhu, Shikui Tu, Yucai Chen, Lei Xu
2023	Misc	`conf`	A Deep Temporal Factor Analysis Method for Large Scale Financial Portfolio Selection. ICASSP Yao Zhou, Ruidan Su, Shikui Tu, Lei Xu
2023	—	`conf`	A Dynamic Graph Convolutional Network for Anti-money Laundering. ICIC (5) Tianpeng Wei, Biyang Zeng, Wenqi Guo, Zhenyu Guo, Shikui Tu, Lei Xu
2023	J	`jnl`	A deep-learning method for the end-to-end prediction of intracranial aneurysm rupture risk. Patterns Peiying Li, Yongchang Liu, Jiafeng Zhou, Shikui Tu, Bing Zhao, Jieqing Wan, Yunjun Yang, Lei Xu
2023	A	`conf`	DeepTH: Chip Placement with Deep Reinforcement Learning Using a Three-Head Policy Network. DATE Dengwei Zhao, Shuai Yuan, Yanan Sun, Shikui Tu, Lei Xu
2023	A*	`conf`	GLPocket: A Multi-Scale Representation Learning Approach for Protein Binding Site Prediction. IJCAI Peiying Li, Yongchang Liu, Shikui Tu, Lei Xu
2023	A*	`conf`	Generalized Weighted Path Consistency for Mastering Atari Games. NeurIPS Dengwei Zhao, Shikui Tu, Lei Xu
2023	—	`conf`	Generalizing Graph Network Models for the Traveling Salesman Problem with Lin-Kernighan-Helsgaun Heuristics. ICONIP (1) Mingfei Li, Shikui Tu, Lei Xu
2023	J	`jnl`	IA-FaceS: A bidirectional method for semantic face editing. Neural Networks Wenjing Huang, Shikui Tu, Lei Xu
2023	A*	`conf`	Linking Sketch Patches by Learning Synonymous Proximity for Graphic Sketch Representation. AAAI Sicong Zang, Shikui Tu, Lei Xu
2023	J	`jnl`	MGAE-DC: Predicting the synergistic effects of drug combinations through multi-channel graph autoencoders. PLoS Comput. Biol. Peng Zhang, Shikui Tu
2023	—	`conf`	Multi-source unsupervised domain-adaptation for automatic sleep staging. BIBM Yangxin Zhu, Shikui Tu, Lin Zhang, Lei Xu
2023	—	`conf`	PEST: A General-Purpose Protein Embedding Model for Homology Search. BIBM Yongchang Liu, Peiying Li, Shikui Tu, Lei Xu
2023	J	`jnl`	PFB-Diff: Progressive Feature Blending Diffusion for Text-driven Image Editing. CoRR Wenjing Huang, Shikui Tu, Lei Xu
2023	J	`jnl`	RefinePocket: An Attention-Enhanced and Mask-Guided Deep Learning Approach for Protein Binding Site Prediction. IEEE ACM Trans. Comput. Biol. Bioinform. Yongchang Liu, Peiying Li, Shikui Tu, Lei Xu
2023	A*	`conf`	Self-Supervised Bidirectional Learning for Graph Matching. AAAI Wenqi Guo, Lin Zhang, Shikui Tu, Lei Xu
2022	—	`conf`	A Feature Polymerized Based Two-Level Ensemble Model for Respiratory Sound Classification. BioCAS Lin Zhang, Yangxin Zhu, Shikui Tu, Lei Xu
2022	—	`conf`	A knowledge graph embedding-based method for predicting the synergistic effects of drug combinations. BIBM Peng Zhang, Shikui Tu
2022	A*	`conf`	Box-FaceS: A Bidirectional Method for Box-Guided Face Component Editing. ACM Multimedia Wenjing Huang, Shikui Tu, Lei Xu
2022	J	`jnl`	Deep CNN Based Lmser and Strengths of Two Built-In Dualities. Neural Process. Lett. Wenjing Huang, Shikui Tu, Lei Xu
2022	J	`jnl`	Deep Rival Penalized Competitive Learning for low-resolution face recognition. Neural Networks Peiying Li, Shikui Tu, Lei Xu
2022	A*	`conf`	Efficient Learning for AlphaZero via Path Consistency. ICML Dengwei Zhao, Shikui Tu, Lei Xu
2022	—	`conf`	IA-CL: A Deep Bidirectional Competitive Learning Method for Traveling Salesman Problem. ICONIP (1) Haoran Ma, Shikui Tu, Lei Xu
2022	J	`jnl`	IA-FaceS: A Bidirectional Method for Semantic Face Editing. CoRR Wenjing Huang, Shikui Tu, Lei Xu
2022	—	`conf`	Kernel Mean Matching with Mahalanobis Distance for Causal Inference of Time-to-event Outcome. BIBM Qin Ma, Lin Zeng, Shikui Tu, Lei Xu
2022	—	`conf`	Learning to Generate Textual Adversarial Examples. ICANN (1) Xiangzhe Guo, Shikui Tu, Lei Xu
2022	J	`jnl`	Linking Sketch Patches by Learning Synonymous Proximity for Graphic Sketch Representation. CoRR Sicong Zang, Shikui Tu, Lei Xu
2022	J	`jnl`	MSLM-RF: A Spatial Feature Enhanced Random Forest for On-Board Hyperspectral Image Classification. IEEE Trans. Geosci. Remote. Sens. Shuai Yuan, Yanan Sun, Weifeng He, Qianrong Gu, Shi Xu, Zhigang Mao, Shikui Tu
2022	J	`jnl`	Predicting cell line-specific synergistic drug combinations through a relational graph convolutional network with attention mechanism. Briefings Bioinform. Peng Zhang, Shikui Tu, Wen Zhang, Lei Xu
2022	—	`conf`	RecurPocket: Recurrent Lmser Network with Gating Mechanism for Protein Binding Site Detection. BIBM Peiying Li, Boheng Cao, Shikui Tu, Lei Xu
2022	—	`conf`	Searching for Textual Adversarial Examples with Learned Strategy. ICONIP (4) Xiangzhe Guo, Ruidan Su, Shikui Tu, Lei Xu
2022	—	`conf`	VentSR: A Self-Rectifying Deep Learning Method for Extubation Readiness Prediction. BIBM Lin Zeng, Haoran Ma, Long Xiang, Shikui Tu, Ying Wang, Liebin Zhao, Lei Xu
2021	—	`conf`	A Consistency Enhanced Deep Lmser Network for Face Sketch Synthesis. PRICAI (1) Qingjie Sheng, Shikui Tu, Lei Xu
2021	J	`jnl`	Controllable stroke-based sketch synthesis from a self-organized latent space. Neural Networks Sicong Zang, Shikui Tu, Lei Xu
2021	J	`jnl`	Deep Rival Penalized Competitive Learning for Low-resolution Face Recognition. CoRR Peiying Li, Shikui Tu, Lei Xu
2021	—	`conf`	DeepBSI: a multimodal deep learning framework for predicting the transcription factor binding site and intensity. BIBM Peng Zhang, Shikui Tu
2021	A*	`conf`	DeepTrader: A Deep Reinforcement Learning Approach for Risk-Return Balanced Portfolio Management with Market Conditions Embedding. AAAI Zhicheng Wang, Biwei Huang, Shikui Tu, Kun Zhang, Lei Xu
2021	J	`jnl`	Detection of Phenotype-Related Mutations of COVID-19 via the Whole Genomic Data. IEEE ACM Trans. Comput. Biol. Bioinform. Jin-Xiong Lv, Shikui Tu, Lei Xu
2021	—	`conf`	Enriching computed tomography images by projection for robust automated cerebral aneurysm detection and segmentation. BIBM Rui Ma, Shikui Tu, Peiying Li, Jiafeng Zhou, Bing Zhao, Jieqing Wan, Lei Xu
2021	—	`conf`	Flexible-CLmser: Regularized Feedback Connections for Biomedical Image Segmentation. BIBM Boheng Cao, Shikui Tu, Lei Xu
2021	A*	`conf`	IA-GM: A Deep Bidirectional Learning Method for Graph Matching. AAAI Kaixuan Zhao, Shikui Tu, Lei Xu
2021	—	`conf`	Multi-source unsupervised domain adaptation for ECG classification. BIBM Fucheng Deng, Shikui Tu, Lei Xu
2021	—	`conf`	RecSleepNet: An Automatic Sleep Staging Model Based on Feature Reconstruction. BIBM Haodong Nie, Shikui Tu, Lei Xu
2020	J	`jnl`	A Graph Neural Network Assisted Monte Carlo Tree Search Approach to Traveling Salesman Problem. IEEE Access Zhihao Xing, Shikui Tu
2020	A*	`conf`	Discrete Biorthogonal Wavelet Transform Based Convolutional Neural Network for Atrial Fibrillation Diagnosis from Electrocardiogram. IJCAI Qingsong Xie, Shikui Tu, Guoxing Wang, Yong Lian, Lei Xu
2020	J	`jnl`	Solve Traveling Salesman Problem by Monte Carlo Tree Search and Deep Neural Network. CoRR Zhihao Xing, Shikui Tu, Lei Xu
2020	J	`jnl`	Two-variate phenotype-targeted tests for detecting phenotypic biomarkers in cancers. Int. J. Data Min. Bioinform. Jin-Xiong Lv, Shikui Tu, Lei Xu
2019	—	`conf`	A k-Dense-UNet for Biomedical Image Segmentation. IScIDE (1) Zhiwen Qiang, Shikui Tu, Lei Xu
2019	—	`conf`	A two-variate phenotype-targeted test for detection of phenotypic biomarkers on breast cancer. BIBM Jin-Xiong Lv, Shikui Tu, Lei Xu
2019	—	`conf`	Computational Decomposition of Style for Controllable and Enhanced Style Transfer. IScIDE (2) Minchao Li, Shikui Tu, Lei Xu
2019	J	`jnl`	Feature Enrichment Based Convolutional Neural Network for Heartbeat Classification From Electrocardiogram. IEEE Access Qingsong Xie, Shikui Tu, Guoxing Wang, Yong Lian, Lei Xu
2019	A*	`conf`	GAN Flexible Lmser for Super-resolution. ACM Multimedia Peiying Li, Shikui Tu, Lei Xu
2019	B	`conf`	GLmser: A GAN-Lmser Network for Image-to-Image Translation. ICTAI Haote Yang, Shikui Tu
2019	A	`conf`	Regularize Network Skip Connections by Gating Mechanisms for Electron Microscopy Image Segmentation. ICME Yuze Guo, Wenjing Huang, Yajing Chen, Shikui Tu
2019	J	`jnl`	Revisit Lmser and its further development based on convolutional layers. CoRR Wenjing Huang, Shikui Tu, Lei Xu
2019	—	`conf`	Revisit Lmser from a Deep Learning Perspective. IScIDE (2) Wenjing Huang, Shikui Tu, Lei Xu
2019	J	`jnl`	piRTarBase: a database of piRNA targeting sites and their roles in gene regulation. Nucleic Acids Res. Wei-Sheng Wu, Jordan S. Brown, Tsung-Te Chen, Yu-Han Chu, Wei-Che Huang, Shikui Tu, Heng-Chi Lee
2018	—	`conf`	An Enviro-Geno-Pheno State Analysis Framework for Biomarker Study. IScIDE Han-Chen Huang, Xianzi Wen, Shikui Tu, Jiafu Ji, Runsheng Chen, Lei Xu
2018	J	`jnl`	Computational Decomposition of Style for Controllable and Enhanced Style Transfer. CoRR Minchao Li, Shikui Tu, Lei Xu
2018	—	`conf`	Integration of Data-Space and Statistics-Space Boundary-Based Test to Control the False Positive Rate. ICIC (3) Jin-Xiong Lv, Shikui Tu
2018	J	`jnl`	pirScan: a webserver to predict piRNA targeting sites and to avoid transgene silencing in C. elegans. Nucleic Acids Res. Wei-Sheng Wu, Wei-Che Huang, Jordan S. Brown, Donglei Zhang, Xiaoyan Song, Hao Chen, Shikui Tu, Zhiping Weng, Heng-Chi Lee
2017	—	`conf`	A Comparative Study of Joint-SNVs Analysis Methods and Detection of Susceptibility Genes for Gastric Cancer in Korean Population. IScIDE Jin-Xiong Lv, Shikui Tu, Lei Xu
2017	C	`conf`	A Comparative Study on Lagrange Ying-Yang Alternation Method in Gaussian Mixture-Based Clustering. IDEAL Weijian Long, Shikui Tu, Lei Xu
2017	J	`jnl`	A unified frame of predicting side effects of drugs by using linear neighborhood similarity. BMC Syst. Biol. Wen Zhang, Xiang Yue, Feng Liu, Yanlin Chen, Shikui Tu, Xining Zhang
2017	J	`jnl`	Sketch-pix2seq: a Model to Generate Sketches of Multiple Categories. CoRR Yajing Chen, Shikui Tu, Yuqi Yi, Lei Xu
2017	—	`conf`	Survival-Expression Map and Essential Forms of Survival-Expression Relations for Genes. IScIDE Yajing Chen, Shikui Tu, Lei Xu
2017	—	`conf`	The Prognostic Role of Genes with Skewed Expression Distribution in Lung Adenocarcinoma. IScIDE Yajing Chen, Shikui Tu, Lei Xu
2016	—	`conf`	Drug side effect prediction through linear neighborhoods and multiple data source integration. BIBM Wen Zhang, Yanlin Chen, Shikui Tu, Feng Liu, Qianlong Qu
2014	J	`jnl`	A comparative study of RPCL and MCE based discriminative training methods for LVCSR. Neurocomputing Zaihu Pang, Shikui Tu, Xihong Wu, Lei Xu
2014	J	`jnl`	Learning binary factor analysis with automatic model selection. Neurocomputing Shikui Tu, Lei Xu
2014	J	`jnl`	Learning local factor analysis versus mixture of factor analyzers with automatic model selection. Neurocomputing Lei Shi, Zhiyong Liu, Shikui Tu, Lei Xu
2012	C	`conf`	A non-Gaussian factor analysis approach to transcription Network Component Analysis. CIBCB Shikui Tu, Dingsheng Luo, Runsheng Chen, Lei Xu
2012	J	`jnl`	A theoretical investigation of several model selection criteria for dimensionality reduction. Pattern Recognit. Lett. Shikui Tu, Lei Xu
2012	—	`conf`	Discriminative GMM-HMM Acoustic Model Selection Using Two-Level Bayesian Ying-Yang Harmony Learning. IScIDE Zaihu Pang, Shikui Tu, Xihong Wu, Lei Xu
2012	J	`jnl`	Transcription Network Analysis by A Sparse Binary Factor Analysis Algorithm. J. Integr. Bioinform. Shikui Tu, Runsheng Chen, Lei Xu
2010	—	`conf`	A binary matrix factorization algorithm for protein complex prediction. BIBM Workshops Shikui Tu, Lei Xu, Runsheng Chen
2010	Misc	`conf`	A study of several model selection criteria for determining the number of signals. ICASSP Shikui Tu, Lei Xu
2010	—	`conf`	Gene clustering by structural prior based local factor analysis model under Bayesian Ying-Yang harmony learning. BIBM Lei Shi, Shikui Tu, Lei Xu
2009	—	`conf`	Canonical Dual Approach to Binary Factor Analysis. ICA Ke Sun, Shikui Tu, David Yang Gao, Lei Xu
2009	—	`conf`	Theoretical Analysis and Comparison of Several Criteria on Linear Model Dimension Reduction. ICA Shikui Tu, Lei Xu
2008	—	`conf`	A Comparative Study on Data Smoothing Regularization for Local Factor Analysis. ICANN (1) Shikui Tu, Lei Shi, Lei Xu