A low-power, 10GS/s track-and-hold amplifier in SiGe BiCMOS technology. - Yevgen Borokhovych; Hans Gustat; Bernd Tillack; Bernd Heinemann; Yuan Lu; Wei-Min Lance Kuo; Xiangtao Li; Ramkumar Krithivasan; John D. Cressler (ESSCIRC, 2005)

A 20 GS/sec Analog-to-Digital Sigma-Delta Modulator in SiGe HBT Technology. - Xiangtao Li; Wei-Min Lance Kuo; Yuan Lu; John D. Cressler (CICC, 2006)

An effective GSA based memetic algorithm for permutation flow shop scheduling. - Xiangtao Li; Jianan Wang; Junping Zhou; Minghao Yin (IEEE Congress on Evolutionary Computation, 2010)

A perturb biogeography based optimization with mutation for global numerical optimization. - Xiangtao Li; Jinyan Wang; Junping Zhou; Minghao Yin (Appl. Math. Comput., 2011)

A novel hybrid K-harmonic means and gravitational search algorithm approach for clustering. - Minghao Yin; Yanmei Hu; Fengqin Yang; Xiangtao Li; Wenxiang Gu (Expert Syst. Appl., 2011)

Multi-operator based biogeography based optimization with mutation for global numerical optimization. - Xiangtao Li; Minghao Yin (Comput. Math. Appl., 2012)

Phase Transitions of EXPSPACE-Complete Problems: a Further Step. - Junping Zhou; Minghao Yin; Xiangtao Li; Jinyan Wang (Int. J. Found. Comput. Sci., 2012)

Optimal synthesis of linear antenna array with composite differential evolution algorithm. - Xiangtao Li; Minghao Yin (Sci. Iran., 2012)

An opposition-based differential evolution algorithm for permutation flow shop scheduling based on diversity measure. - Xiangtao Li; Minghao Yin (Adv. Eng. Softw., 2013)

Enhancing the performance of cuckoo search algorithm using orthogonal learning method. - Xiangtao Li; Jianan Wang; Minghao Yin (Neural Comput. Appl., 2014)

Self-adaptive constrained artificial bee colony for constrained numerical optimization. - Xiangtao Li; Minghao Yin (Neural Comput. Appl., 2014)

Animal migration optimization: an optimization algorithm inspired by animal migration behavior. - Xiangtao Li; Jie Zhang; Minghao Yin (Neural Comput. Appl., 2014)

A genetic algorithm for the distributed assembly permutation flowshop scheduling problem. - Xiangtao Li; Xin Zhang; Minghao Yin; Jianan Wang (CEC, 2015)

Modified cuckoo search algorithm with self adaptive parameter method. - Xiangtao Li; Minghao Yin (Inf. Sci., 2015)

Multiobjective Local Search Algorithm-Based Decomposition for Multiobjective Permutation Flow Shop Scheduling Problem. - Xiangtao Li; Mingjie Li (IEEE Trans. Engineering Management, 2015)

BAMOKNN: A novel computational method for predicting the apoptosis protein locations. - Xiangtao Li; Shijing Ma; Yunhe Wang 002 (BIBM, 2016)

Multi-Objective Memetic Search Algorithm for Multi-Objective Permutation Flow Shop Scheduling Problem. - Xiangtao Li; Shijing Ma (IEEE Access, 2016)

Multi-Population Based Ensemble Mutation Method for Single Objective Bilevel Optimization Problem. - Xiangtao Li; Shijing Ma; Yunhe Wang 002 (IEEE Access, 2016)

Modified differential evolution with self-adaptive parameters method. - Xiangtao Li; Minghao Yin (J. Comb. Optim., 2016)

A particle swarm inspired cuckoo search algorithm for real parameter optimization. - Xiangtao Li; Minghao Yin (Soft Comput., 2016)

A Hybrid Chaotic Biogeography Based Optimization for the Sequence Dependent Setup Times Flowshop Scheduling Problem With Weighted Tardiness Objective. - Yunhe Wang 002; Xiangtao Li (IEEE Access, 2017)

Multi-search differential evolution algorithm. - Xiangtao Li; Shijing Ma; Jiehua Hu (Appl. Intell., 2017)

Local search algorithm with path relinking for single batch-processing machine scheduling problem. - Xin Zhang; Xiangtao Li; Jianan Wang (Neural Comput. Appl., 2017)

Multiobjective Discrete Artificial Bee Colony Algorithm for Multiobjective Permutation Flow Shop Scheduling Problem With Sequence Dependent Setup Times. - Xiangtao Li; Shijing Ma (IEEE Trans. Engineering Management, 2017)

Coherent Analog Low Power, Small Size 400/200/100Gb/s Receiver Based on Bipolar SiGe Technology. - Edem Ibragimov; Hong Jiang; Pushui Xu; Xiangtao Li (OFC, 2018)

A Comparative Study for Identifying the Chromosome-Wide Spatial Clusters from High-Throughput Chromatin Conformation Capture Data. - Xiangtao Li; Ka-Chun Wong (IEEE ACM Trans. Comput. Biol. Bioinform., 2018)

Multiobjective Patient Stratification Using Evolutionary Multiobjective Optimization. - Xiangtao Li; Ka-Chun Wong (IEEE J. Biomed. Health Informatics, 2018)

Single-cell RNA-seq interpretations using evolutionary multiobjective ensemble pruning. - Xiangtao Li; Shixiong Zhang 002; Ka-Chun Wong (Bioinform., 2019)

Synergizing CRISPR/Cas9 off-target predictions for ensemble insights and practical applications. - Shixiong Zhang 002; Xiangtao Li; Qiuzhen Lin; Ka-Chun Wong (Bioinform., 2019)

DNA Sequencing Technologies: Sequencing Data Protocols and Bioinformatics Tools. - Ka-Chun Wong; Jiao Zhang 003; Shankai Yan; Xiangtao Li; Qiuzhen Lin; Sam Kwong; Cheng Liang 001 (ACM Comput. Surv., 2019)

Elucidating Genome-Wide Protein-RNA Interactions Using Differential Evolution. - Xiangtao Li; Ka-Chun Wong (IEEE ACM Trans. Comput. Biol. Bioinform., 2019)

Evolutionary Multiobjective Clustering and Its Applications to Patient Stratification. - Xiangtao Li; Ka-Chun Wong (IEEE Trans. Cybern., 2019)

Review of Single-cell RNA-seq Data Clustering for Cell Type Identification and Characterization. - Shixiong Zhang 002; Xiangtao Li; Qiuzhen Lin; Ka-Chun Wong (CoRR, 2020)

Nature-inspired multiobjective patient stratification from cancer gene expression data. - Yunhe Wang 002; Zhiqiang Ma 003; Ka-Chun Wong; Xiangtao Li (Inf. Sci., 2020)

Cancer molecular subtype classification from hypervolume-based discrete evolutionary optimization. - Yunhe Wang 002; Shaochuan Li; Lei Wang; Zhiqiang Ma 003; Xiangtao Li (Neural Comput. Appl., 2020)

Single-Cell RNA Sequencing Data Interpretation by Evolutionary Multiobjective Clustering. - Xiangtao Li; Ka-Chun Wong (IEEE ACM Trans. Comput. Biol. Bioinform., 2020)

Nature-Inspired Multiobjective Epistasis Elucidation from Genome-Wide Association Studies. - Xiangtao Li; Shixiong Zhang 002; Ka-Chun Wong (IEEE ACM Trans. Comput. Biol. Bioinform., 2020)

Deleterious Non-Synonymous Single Nucleotide Polymorphism Predictions on Human Transcription Factors. - Ka-Chun Wong; Shankai Yan; Qiuzhen Lin; Xiangtao Li; Chengbin Peng 001 (IEEE ACM Trans. Comput. Biol. Bioinform., 2020)

Feature Selection and Feature Extraction: Highlights. - Hiu-Man Wong; Xingjian Chen; Hiu-Hin Tam; Jiecong Lin; Shixiong Zhang 002; Shankai Yan; Xiangtao Li; Ka-Chun Wong (ISMSI, 2021)

iDeepSubMito: identification of protein submitochondrial localization with deep learning. - Zilong Hou; Yuning Yang; Hui Li; Ka-Chun Wong; Xiangtao Li (Briefings Bioinform., 2021)

Identification of pan-cancer Ras pathway activation with deep learning. - Xiangtao Li; Shaochuan Li; Yunhe Wang 002; Shixiong Zhang 002; Ka-Chun Wong (Briefings Bioinform., 2021)

Deep embedded clustering with multiple objectives on scRNA-seq data. - Xiangtao Li; Shixiong Zhang 002; Ka-Chun Wong (Briefings Bioinform., 2021)

iCircRBP-DHN: identification of circRNA-RBP interaction sites using deep hierarchical network. - Yuning Yang; Zilong Hou; Zhiqiang Ma 003; Xiangtao Li; Ka-Chun Wong (Briefings Bioinform., 2021)

Identification of haploinsufficient genes from epigenomic data using deep forest. - Yuning Yang; Shaochuan Li; Yunhe Wang 002; Zhiqiang Ma 003; Ka-Chun Wong; Xiangtao Li (Briefings Bioinform., 2021)

Elucidating transcriptomic profiles from single-cell RNA sequencing data using nature-inspired compressed sensing. - Zhuohan Yu; Chuang Bian; Genggeng Liu; Shixiong Zhang 002; Ka-Chun Wong; Xiangtao Li (Briefings Bioinform., 2021)

CancerEMC: frontline non-invasive cancer screening from circulating protein biomarkers and mutations in cell-free DNA. - Saifur Rahaman; Xiangtao Li; Jun Yu 004; Ka-Chun Wong (Bioinform., 2021)

EGFI: Drug-Drug Interaction Extraction and Generation with Fusion of Enriched Entity and Sentence Information. - Lei Huang; Jiecong Lin; Xiangtao Li; Linqi Song; Ka-Chun Wong (CoRR, 2021)

Evolving Transcriptomic Profiles From Single-Cell RNA-Seq Data Using Nature-Inspired Multiobjective Optimization. - Xiangtao Li; Shixiong Zhang 002; Ka-Chun Wong (IEEE ACM Trans. Comput. Biol. Bioinform., 2021)

Evolving Multiobjective Cancer Subtype Diagnosis From Cancer Gene Expression Data. - Yunhe Wang 002; Zhiqiang Ma 003; Ka-Chun Wong; Xiangtao Li (IEEE ACM Trans. Comput. Biol. Bioinform., 2021)

Multiobjective Genome-Wide RNA-Binding Event Identification From CLIP-Seq Data. - Xiangtao Li; Shixiong Zhang 002; Ka-Chun Wong (IEEE Trans. Cybern., 2021)

Nature-Inspired Compressed Sensing for Transcriptomic Profiling From Random Composite Measurements. - Shixiong Zhang 002; Xiangtao Li; Qiuzhen Lin; Ka-Chun Wong (IEEE Trans. Cybern., 2021)

ZINB-Based Graph Embedding Autoencoder for Single-Cell RNA-Seq Interpretations. - Zhuohan Yu; Yifu Lu; Yunhe Wang 002; Fan Tang; Ka-Chun Wong; Xiangtao Li (AAAI, 2022)

EGFI: drug-drug interaction extraction and generation with fusion of enriched entity and sentence information. - Lei Huang; Jiecong Lin; Xiangtao Li; Linqi Song; Zetian Zheng; Ka-Chun Wong (Briefings Bioinform., 2022)

CoaDTI: multi-modal co-attention based framework for drug-target interaction annotation. - Lei Huang; Jiecong Lin; Rui Liu 038; Zetian Zheng; Lingkuan Meng; Xingjian Chen; Xiangtao Li; Ka-Chun Wong (Briefings Bioinform., 2022)

High-throughput single-cell RNA-seq data imputation and characterization with surrogate-assisted automated deep learning. - Xiangtao Li; Shaochuan Li; Lei Huang; Shixiong Zhang 002; Ka-Chun Wong (Briefings Bioinform., 2022)

Reducing healthcare disparities using multiple multiethnic data distributions with fine-tuning of transfer learning. - Muhammad Toseef; Xiangtao Li; Ka-Chun Wong (Briefings Bioinform., 2022)

HCRNet: high-throughput circRNA-binding event identification from CLIP-seq data using deep temporal convolutional network. - Yuning Yang; Zilong Hou; Yansong Wang; Hongli Ma; Pingping Sun; Zhiqiang Ma 003; Ka-Chun Wong; Xiangtao Li (Briefings Bioinform., 2022)

Colorectal cancer subtype identification from differential gene expression levels using minimalist deep learning. - Shaochuan Li; Yuning Yang; Xin Wang; Jun Li 051; Jun Yu 004; Xiangtao Li; Ka-Chun Wong (BioData Min., 2022)

GMHCC: high-throughput analysis of biomolecular data using graph-based multiple hierarchical consensus clustering. - Yifu Lu; Zhuohan Yu; Yunhe Wang 006; Zhiqiang Ma 003; Ka-Chun Wong; Xiangtao Li (Bioinform., 2022)

scWMC: weighted matrix completion-based imputation of scRNA-seq data via prior subspace information. - Yanchi Su; Fuzhou Wang; Shixiong Zhang 002; Yanchun Liang; Ka-Chun Wong; Xiangtao Li (Bioinform., 2022)

EDCNN: identification of genome-wide RNA-binding proteins using evolutionary deep convolutional neural network. - Yawei Wang; Yuning Yang; Zhiqiang Ma 003; Ka-Chun Wong; Xiangtao Li (Bioinform., 2022)

Exploring high-throughput biomolecular data with multiobjective robust continuous clustering. - Yunhe Wang 002; Ka-Chun Wong; Xiangtao Li (Inf. Sci., 2022)

A self-adaptive weighted differential evolution approach for large-scale feature selection. - Xubin Wang; Yunhe Wang 002; Ka-Chun Wong; Xiangtao Li (Knowl. Based Syst., 2022)

UCAV Path Planning for Avoiding Obstacles using Cooperative Co-evolution Spider Monkey Optimization. - Haoran Zhu; Yunhe Wang 002; Xiangtao Li (Knowl. Based Syst., 2022)

Evolutionary Multiobjective Clustering Algorithms With Ensemble for Patient Stratification. - Yunhe Wang 002; Xiangtao Li; Ka-Chun Wong; Yi Chang 001; Shengxiang Yang (IEEE Trans. Cybern., 2022)

Particle Swarm Optimized Gaussian Process Classifier for Treatment Discontinuation Prediction in Multicohort Metastatic Castration-Resistant Prostate Cancer Patients. - Olutomilayo Olayemi Petinrin; Xiangtao Li; Ka-Chun Wong (IEEE J. Biomed. Health Informatics, 2022)

Subclass-Specific Prognosis and Treatment Efficacy Inference in Head and Neck Squamous Carcinoma. - Zetian Zheng; Weidun Xie; Xingjian Chen; Fuzhou Wang; Lei Huang; Xiangtao Li; Qiuzhen Lin; Ka-Chun Wong (IEEE J. Biomed. Health Informatics, 2022)

Multiobjective Deep Clustering and its Applications in Single-cell RNA-seq Data. - Yunhe Wang 002; Chuang Bian; Ka-Chun Wong; Xiangtao Li; Shengxiang Yang (IEEE Trans. Syst. Man Cybern. Syst., 2022)

Genome-wide identification and characterization of DNA enhancers with a stacked multivariate fusion framework. - Yansong Wang; Zilong Hou; Yuning Yang; Ka-Chun Wong; Xiangtao Li (PLoS Comput. Biol., 2022)

Unsupervised Deep Embedded Fusion Representation of Single-Cell Transcriptomics. - Yue Cheng; Yanchi Su; Zhuohan Yu; Yanchun Liang; Ka-Chun Wong; Xiangtao Li (AAAI, 2023)

scBGEDA: deep single-cell clustering analysis via a dual denoising autoencoder with bipartite graph ensemble clustering. - Yunhe Wang 002; Zhuohan Yu; Shaochuan Li; Chuang Bian; Yanchun Liang; Ka-Chun Wong; Xiangtao Li (Bioinform., 2023)

GLAE: A graph-learnable auto-encoder for single-cell RNA-seq analysis. - Yixiang Shan; Jielong Yang; Xiangtao Li; Xionghu Zhong; Yi Chang 001 (Inf. Sci., 2023)

Hyperspectral Image Denoising via Weighted Multidirectional Low-Rank Tensor Recovery. - Yanchi Su; Haoran Zhu; Ka-Chun Wong; Yi Chang 001; Xiangtao Li (IEEE Trans. Cybern., 2023)

Deep transfer learning for clinical decision-making based on high-throughput data: comprehensive survey with benchmark results. - Muhammad Toseef; Olutomilayo Olayemi Petinrin; Fuzhou Wang; Saifur Rahaman; Zhe Liu; Xiangtao Li; Ka-Chun Wong (Briefings Bioinform., 2023)

Differential evolution based on network structure for feature selection. - Yanmei Hu; Min Lu; Xiangtao Li; Biao Cai (Inf. Sci., 2023)

Convex combination multiple populations competitive swarm optimization for moving target search using UAVs. - Tianxi Ma; Yunhe Wang 002; Xiangtao Li (Inf. Sci., 2023)

Automated exploitation of deep learning for cancer patient stratification across multiple types. - Pingping Sun; Shijie Fan; Shaochuan Li; Yingwei Zhao; Chang Lu; Ka-Chun Wong; Xiangtao Li (Bioinform., 2023)

Unsupervised Gene-Cell Collective Representation Learning with Optimal Transport. - Jixiang Yu; Nanjun Chen; Ming Gao 008; Xiangtao Li; Ka-Chun Wong (AAAI, 2024)

TP-LMMSG: a peptide prediction graph neural network incorporating flexible amino acid property representation. - Nanjun Chen; Jixiang Yu; Zhe Liu; Fuzhou Wang; Xiangtao Li; Ka-Chun Wong (Briefings Bioinform., 2024)

Evolving pathway activation from cancer gene expression data using nature-inspired ensemble optimization. - Xubin Wang; Yunhe Wang 002; Zhiqiang Ma 003; Ka-Chun Wong; Xiangtao Li (Expert Syst. Appl., 2024)

A graph convolutional network model based on regular equivalence for identifying influential nodes in complex networks. - Yihang Wu; Yanmei Hu; Siyuan Yin; Biao Cai; Xiaochuan Tang; Xiangtao Li (Knowl. Based Syst., 2024)

Exhaustive Exploitation of Nature-Inspired Computation for Cancer Screening in an Ensemble Manner. - Xubin Wang; Yunhe Wang 002; Zhiqiang Ma 003; Ka-Chun Wong; Xiangtao Li (IEEE ACM Trans. Comput. Biol. Bioinform., 2024)

MotifHub: Detection of trans-acting DNA motif group with probabilistic modeling algorithm. - Zhe Liu; Hiu-Man Wong; Xingjian Chen; Jiecong Lin; Shixiong Zhang 002; Shankai Yan; Fuzhou Wang; Xiangtao Li; Ka-Chun Wong (Comput. Biol. Medicine, 2024)

Has digital infrastructure accelerated enterprises' specialization? Evidence from China. - Xiaofang Jia; Xiangtao Li (Bus. Process. Manag. J., 2025)

Elucidating spatiotemporal chromatin dynamics with multi-stage differential variations from Hi-C. - Zhongshen Li; Jixiang Yu; Shen You; Leyi Wei; Qiuzhen Lin; Xiangtao Li; Ka-Chun Wong (Knowl. Based Syst., 2025)

An adaptive network construction for single-cell clustering. - Tianyu Yang; Yanmei Hu; Yihang Wu; Yingxi Zhang; Bin Duo; Xiaochuan Tang; Xiangtao Li (J. Supercomput., 2025)

A Comprehensive Evaluation of Arbitrary Image Style Transfer Methods. - Zijun Zhou; Fan Tang; Yuxin Zhang; Oliver Deussen; Juan Cao 001; Weiming Dong; Xiangtao Li; Tong-Yee Lee (IEEE Trans. Vis. Comput. Graph., 2025)