Knowledge Acquisition Based on Neural Networks for Performance Evaluation of Sugarcane Harvester. - Fanglan Ma; Shangping Li; Yulin He; Shi Liang; Shan-Shan Hu (ISNN (2), 2006)

Research on Case Retrieval of Case-Based Reasoning of Motorcycle Intelligent Design. - Fanglan Ma; Yulin He; Shangping Li; Yuanling Chen; Shi Liang (ISNN (4), 2009)

A new instance selection algorithm based on contribution for nearest neighbour classification. - Yong-Hua Cai; Bo Wu 017; Yu-Lin He; Ye Zhang (ICMLC, 2010)

A comparative study among different kernel functions in flexible naïve Bayesian classification. - James N. K. Liu; Yu-Lin He; Xizhao Wang; Yan-Xing Hu (ICMLC, 2011)

An approach to automatic development of interlocking logic based on Statechart. - Xiangxian Chen; Yulin He; Hai Huang (Enterp. Inf. Syst., 2011)

Particle swarm optimization for determining fuzzy measures from data. - Xizhao Wang; Yu-Lin He; Ling-Cai Dong; Huanyu Zhao (Inf. Sci., 2011)

Improving kernel incapability by equivalent probability in flexible naïve Bayesian. - James N. K. Liu; Yu-Lin He; Xizhao Wang (FUZZ-IEEE, 2012)

Naive Bayesian Classifier Based on Neighborhood Probability. - James N. K. Liu; Yu-Lin He; Xizhao Wang; Yan-Xing Hu (IPMU (3), 2012)

Optimal bandwidth selection for re-substitution entropy estimation. - Yu-Lin He; James N. K. Liu; Xizhao Wang; Yan-Xing Hu (Appl. Math. Comput., 2012)

Comparison of geometric and arithmetic means for bandwidth selection in Nadaraya-Watson kernel regression estimator. - Li-Yuan Xu; Min Zhang; Wei Zhu; Yu-Lin He (ICMLC, 2013)

A Combined Position Evaluation Function in Chinese Chess Computer Game. - Yu-Lin He; Xizhao Wang; Tingting Fu (Trans. Comput. Sci., 2013)

A New Method for Knowledge and Information Management Domain Ontology Graph Model. - James N. K. Liu; Yu-Lin He; Edward H. Y. Lim; Xizhao Wang (IEEE Trans. Syst. Man Cybern. Syst., 2013)

Regression ensemble with PSO algorithms based fuzzy integral. - James Nga-Kwok Liu; Yan-Xing Hu; Yu-Lin He; Xizhao Wang (IEEE Congress on Evolutionary Computation, 2014)

An advancing investigation on reduct and consistency for decision tables in Variable Precision Rough Set models. - James N. K. Liu; Jane Jia You; Yan-Xing Hu; Yu-Lin He (FUZZ-IEEE, 2014)

A Further Investigation on the Reliability of Extreme Learning Machines. - Yan-Xing Hu; Yuan Wang; Jane Jia You; James N. K. Liu; Yu-Lin He (ICDM Workshops, 2014)

Comparative Analysis of Density Estimation Based Kernel Regression. - Junying Chen; Yulin He (ICMLC (CCIS volume), 2014)

Integrating Local Information-based Link Prediction Algorithms with OWA Operator. - James N. K. Liu; Yu-Lin He; Yan-Xing Hu; Xi-Zhao Wang; Simon C. K. Shiu (ICPRAM, 2014)

A hybrid algorithm for recommendation twitter peers. - James N. K. Liu; Zongnong Meng; Yan-Xing Hu; Yu-Lin He; Simon C. K. Shiu; Vincent W. S. Cho (SAC, 2014)

A study on relationships between heuristics and optimal cuts in decision tree induction. - Hong-Yan Ji; Xi-Zhao Wang; Yu-Lin He; Wen-Liang Li (Comput. Electr. Eng., 2014)

A study on residence error of training an extreme learning machine and its application to evolutionary algorithms. - Ai-Min Fu; Xi-Zhao Wang; Yu-Lin He; Lai-Sheng Wang (Neurocomputing, 2014)

Bayesian classifiers based on probability density estimation and their applications to simultaneous fault diagnosis. - Yu-Lin He; Ran Wang 001; Sam Kwong; Xi-Zhao Wang (Inf. Sci., 2014)

A set covering based approach to find the reduct of variable precision rough set. - James N. K. Liu; Yan-Xing Hu; Yu-Lin He (Inf. Sci., 2014)

Domain ontology graph model and its application in Chinese text classification. - James N. K. Liu; Yu-Lin He; Edward H. Y. Lim; Xizhao Wang (Neural Comput. Appl., 2014)

Non-Naive Bayesian Classifiers for Classification Problems With Continuous Attributes. - Xi-Zhao Wang; Yu-Lin He; Debby Dan Wang (IEEE Trans. Cybern., 2014)

Use Correlation Coefficients in Gaussian Process to Train Stable ELM Models. - Yu-Lin He; Joshua Zhexue Huang; Xizhao Wang; Rana Aamir Raza (PAKDD (1), 2015)

OWA operator based link prediction ensemble for social network. - Yu-Lin He; James Nga-Kwok Liu; Yan-Xing Hu; Xi-Zhao Wang (Expert Syst. Appl., 2015)

Learning ELM-Tree from big data based on uncertainty reduction. - Ran Wang 001; Yu-Lin He; Chi-Yin Chow; Fang-Fang Ou; Jian Zhang (Fuzzy Sets Syst., 2015)

Empirical analysis of asymptotic ensemble learning for big data. - Salman Salloum; Joshua Zhexue Huang; Yu-Lin He (BDCAT, 2016)

Imbalanced ELM Based on Normal Density Estimation for Binary-Class Classification. - Yu-Lin He; Rana Aamir Raza Ashfaq; Joshua Zhexue Huang; Xizhao Wang (PAKDD Workshops, 2016)

An approach to sample selection from big data for classification. - Sheng Xing; Yu-Lin He; Hong Zhu 011; Xizhao Wang (SMC, 2016)

Fuzzy nonlinear regression analysis using a random weight network. - Yu-Lin He; Xizhao Wang; Joshua Zhexue Huang (Inf. Sci., 2016)

Exact and approximate algorithms for discounted {0-1} knapsack problem. - Yi-Chao He; Xi-Zhao Wang; Yu-Lin He; Shuliang Zhao; Wen-Bin Li (Inf. Sci., 2016)

An Improved Local Coupled Extreme Learning Machine. - Chong Liu; Bing-Qiang Wang; Xiao-Lan Wang 005; Yu-Lin He; Rana Aamir Raza Ashfaq (J. Softw., 2016)

Impact of Variances of Random Weights and Biases on Extreme Learning Machine. - Xiao Tao; Xu Zhou; Yu-Lin He; Rana Aamir Raza Ashfaq (J. Softw., 2016)

I-Sampling: A New Block-Based Sampling Method for Large-Scale Dataset. - Yu-Lin He; Joshua Zhexue Huang; Hao Long; Qiang Wang 053; Chenghao Wei (BigData Congress, 2017)

Improving Generalization Capability of Extreme Learning Machine with Synthetic Instances Generation. - Wei Ao; Yu-Lin He; Joshua Zhexue Huang; Yupeng He (ICONIP (1), 2017)

Self-adaptive Weighted Extreme Learning Machine for Imbalanced Classification Problems. - Hao Long; Yu-Lin He; Joshua Zhexue Huang; Qiang Wang 053 (PAKDD (Workshops), 2017)

A Random Sample Partition Data Model for Big Data Analysis. - Salman Salloum; Yu-Lin He; Joshua Zhexue Huang; Xiaoliang Zhang; Tamer Z. Emara (CoRR, 2017)

Fuzziness based semi-supervised learning approach for intrusion detection system. - Rana Aamir Raza Ashfaq; Xi-Zhao Wang; Joshua Zhexue Huang; Haider Abbas; Yu-Lin He (Inf. Sci., 2017)

Toward an efficient fuzziness based instance selection methodology for intrusion detection system. - Rana Aamir Raza Ashfaq; Yu-Lin He; De-gang Chen 002 (Int. J. Mach. Learn. Cybern., 2017)

Extreme learning machine with fuzzy input and fuzzy output for fuzzy regression. - Hai-Tao Liu; Jing Wang; Yu-Lin He; Rana Aamir Raza Ashfaq (Neural Comput. Appl., 2017)

Comments on "Local coupled extreme learning machine". - Wan-Guo Yu; Xu Zhou; Yu-Lin He; Rana Aamir Raza Ashfaq (Neural Comput. Appl., 2017)

A Two-Stage Data Processing Algorithm to Generate Random Sample Partitions for Big Data Analysis. - Chenghao Wei; Salman Salloum; Tamer Z. Emara; Xiaoliang Zhang; Joshua Zhexue Huang; Yu-Lin He (CLOUD, 2018)

Particle Swarm Optimization-Based Weighted-Nadaraya-Watson Estimator. - Jie Jiang; Yu-Lin He; Joshua Zhexue Huang (PAKDD (Workshops), 2018)

Random weight network-based fuzzy nonlinear regression for trapezoidal fuzzy number data. - Yu-Lin He; Chenghao Wei; Hao Long; Rana Aamir Raza Ashfaq; Joshua Zhexue Huang (Appl. Soft Comput., 2018)

Determining the optimal temperature parameter for Softmax function in reinforcement learning. - Yu-Lin He; Xiaoliang Zhang; Wei Ao; Joshua Zhexue Huang (Appl. Soft Comput., 2018)

SGB-ELM: An Advanced Stochastic Gradient Boosting-Based Ensemble Scheme for Extreme Learning Machine. - Hua Guo; Jikui Wang; Wei Ao; Yulin He (Comput. Intell. Neurosci., 2018)

Uncertain principal-agent models for providing information service with moral hazards. - Zhenhong Li; Bo Li 085; Yanfei Lan; Yulin He (J. Intell. Fuzzy Syst., 2018)

Further improvements on extreme learning machine for interval neural network. - Li-fen Yang; Chong Liu; Hao Long; Rana Aamir Raza Ashfaq; Yu-Lin He (Neural Comput. Appl., 2018)

A Quantitative Analysis Platform for PD-L1 Immunohistochemistry based on Point-level Supervision Model. - Haibo Mi; Kele Xu; Yang Xiang; Yulin He; Dawei Feng; Huaimin Wang; Chun Wu; Yanming Song; Xiaolei Sun (IJCAI, 2019)

Neural Network-Based Deep Encoding for Mixed-Attribute Data Classification. - Tinglin Huang; Yulin He; De-Xin Dai; Wenting Wang; Joshua Zhexue Huang (PAKDD (Workshops), 2019)

An Asymptotic Ensemble Learning Framework for Big Data Analysis. - Salman Salloum; Joshua Zhexue Huang; Yulin He; Xiaojun Chen 006 (IEEE Access, 2019)

Latent Feature Group Learning for High-Dimensional Data Clustering. - Wenting Wang; Yulin He; Liheng Ma; Joshua Zhexue Huang (Inf., 2019)

A new kernel density estimator based on the minimum entropy of data set. - Jie Jiang; Yu-Lin He; De-Xin Dai; Joshua Zhexue Huang (Inf. Sci., 2019)

Exploring and cleaning big data with random sample data blocks. - Salman Salloum; Joshua Zhexue Huang; Yulin He (J. Big Data, 2019)

Real-Time Global Ionospheric Map and Its Application in Single-Frequency Positioning. - Liang Zhang; Yibin Yao; Wenjie Peng; Lulu Shan; Yulin He; Jian Kong (Sensors, 2019)

Random Sample Partition: A Distributed Data Model for Big Data Analysis. - Salman Salloum; Joshua Zhexue Huang; Yulin He (IEEE Trans. Ind. Informatics, 2019)

A Generalized Denoising Method with an Optimized Loss Function for Automated Bird Sound Recognition. - Huangqiang Fang; Yulin He; Wanyang Xu; Yanyan Xu 001; Dengfeng Ke; Kaile Su (ICCCS, 2020)

Clustering Ensembles Based on Probability Density Function Estimation. - Yingyan Wu; Yulin He; Joshua Zhexue Huang (CSCloud/EdgeCom, 2020)

Observation Points-Based Particle Swarm Optimization Algorithm. - Shengsheng Xu; Yulin He; Joshua Zhexue Huang (CSCloud/EdgeCom, 2020)

Attribute Bagging-Based Extreme Learning Machine. - Xuan Ye; Yulin He; Joshua Zhexue Huang (ICA3PP (2), 2020)

CenterRepp: Predict Central Representative Point Set's Distribution For Detection. - Yulin He; Limeng Zhang; Wei Chen 009; Xin Luo 009; Xiaogang Jia; Chen Li 034 (ICPR, 2020)

Novel electricity pattern identification system based on improved I-nice algorithm. - Yu-Lin He; Honglian Qin; Joshua Zhexue Huang; Yi Jin (Comput. Ind. Eng., 2020)

ANU-Net: Attention-based nested U-Net to exploit full resolution features for medical image segmentation. - Chen Li 034; Yusong Tan; Wei Chen 009; Xin Luo 009; Yulin He; Yuanming Gao; Fei Li (Comput. Graph., 2020)

An Incremental Kernel Density Estimator for Data Stream Computation. - Yu-Lin He; Jie Jiang; De-Xin Dai; Klohoun Fabrice (Complex., 2020)

A Robust k-Means Clustering Algorithm Based on Observation Point Mechanism. - Xiaoliang Zhang; Yulin He; Yi Jin; Honglian Qin; Muhammad Azhar; Joshua Zhexue Huang (Complex., 2020)

A new approach to solve opinion dynamics on complex networks. - Wenting Wang; Yu-Lin He; Joshua Zhexue Huang; Liheng Ma (Expert Syst. Appl., 2020)

Application of Computed Tomographic Image Reconstruction Algorithms Based on Filtered Back-Projection in Diagnosis of Bone Trauma Diseases. - Xianyu Li; Yulin He; Qun Hua (J. Medical Imaging Health Informatics, 2020)

Tri-Directional Tasks Complementary Learning for Unsupervised Domain Adaptation of Cross-modality Medical Image Semantic Segmentation. - Chen Li 034; Wei Chen 009; Mingfei Wu; Xin Luo 009; Yulin He; Yusong Tan (BIBM, 2021)

AttENT: Domain-Adaptive Medical Image Segmentation via Attention-Aware Translation and Adversarial Entropy Minimization. - Chen Li 034; Xin Luo 009; Wei Chen 009; Yulin He; Mingfei Wu; Yusong Tan (BIBM, 2021)

Random Sample Partition-Based Clustering Ensemble Algorithm for Big Data. - Xueqin Du; Yulin He; Joshua Zhexue Huang (IEEE BigData, 2021)

A Two-Stage Missing Value Imputation Method Based on Autoencoder Neural Network. - Jiayin Yu; Yulin He; Joshua Zhexue Huang (IEEE BigData, 2021)

PATR: A Novel Poisoning Attack Based on Triangle Relations Against Deep Learning-Based Recommender Systems. - Meiling Chao; Min Gao 001; Junwei Zhang 004; Zongwei Wang 002; Quanwu Zhao; Yulin He (CollaborateCom (2), 2021)

A Compressed Hidden Naive Bayesian Classifier. - Guiliang Ou; Yulin He; Joshua Zhexue Huang (IJCNN, 2021)

Fast and Accurate Lane Detection via Frequency Domain Learning. - Yulin He; Wei Chen 009; Zhengfa Liang; Dan Chen 001; Yusong Tan; Xin Luo 009; Chen Li 034; Yulan Guo (ACM Multimedia, 2021)

Exploiting Negative Learning for Implicit Pseudo Label Rectification in Source-Free Domain Adaptive Semantic Segmentation. - Xin Luo 009; Wei Chen 009; Yusong Tan; Chen Li 034; Yulin He; Xiaogang Jia (CoRR, 2021)

Improved I-nice clustering algorithm based on density peaks mechanism. - Yulin He; Yingyan Wu; Honglian Qin; Joshua Zhexue Huang; Yi Jin (Inf. Sci., 2021)

Novel kernel density estimator based on ensemble unbiased cross-validation. - Yu-Lin He; Xuan Ye; De-Fa Huang; Joshua Zhexue Huang; Jun-Hai Zhai (Inf. Sci., 2021)

Fast and Accurate Lane Detection via Graph Structure and Disentangled Representation Learning. - Yulin He; Wei Chen 009; Chen Li 034; Xin Luo 009; Libo Huang (Sensors, 2021)

A Joint 2D-3D Complementary Network for Stereo Matching. - Xiaogang Jia; Wei Chen 009; Zhengfa Liang; Xin Luo 009; Mingfei Wu; Chen Li 034; Yulin He; Yusong Tan; Libo Huang (Sensors, 2021)

S-PDB: Analysis and Classification of SARS-CoV-2 Spike Protein Structures. - M. Saqib Nawaz; Philippe Fournier-Viger; Yulin He (BIBM, 2022)

FastTIRP: Efficient Discovery of Time-Interval Related Patterns. - Philippe Fournier-Viger; Yuechun Li; M. Saqib Nawaz; Yulin He (BDA, 2022)

A Novel Method to Create Synthetic Samples with Autoencoder Multi-layer Extreme Learning Machine. - Yulin He; Qihang Huang; Shengsheng Xu; Joshua Zhexue Huang (DASFAA (Workshops), 2022)

GCMK: Detecting Spam Movie Review Based on Graph Convolutional Network Embedding Movie Background Knowledge. - Hao Cao; Hanyue Li; Yulin He; Xu Yan; Fei Yang; Haizhou Wang 001 (ICANN (2), 2022)

Adaptive Pseudo Labeling for Source-Free Domain Adaptation in Medical Image Segmentation. - Chen Li 034; Wei Chen 009; Xin Luo 009; Yulin He; Yusong Tan (ICASSP, 2022)

DenMG: Density-Based Member Generation for Ensemble Clustering. - Xueqin Du; Yulin He; Philippe Fournier-Viger; Joshua Zhexue Huang (ICPP Workshops, 2022)

SCMT: Self-Correction Mean Teacher for Semi-supervised Object Detection. - Feng Xiong; Jiayi Tian; Zhihui Hao; Yulin He; Xiaofeng Ren (IJCAI, 2022)

Auto-Encoding Independent Attribute Transformation for Naive Bayesian Classifier. - Guiliang Ou; Yulin He; Philippe Fournier-Viger; Joshua Zhexue Huang (IJCNN, 2022)

MaxFEM: Mining Maximal Frequent Episodes in Complex Event Sequences. - Philippe Fournier-Viger; M. Saqib Nawaz; Yulin He; Youxi Wu; Farid Nouioua; Unil Yun (MIWAI, 2022)

LCIM: Mining Low Cost High Utility Itemsets. - M. Saqib Nawaz; Philippe Fournier-Viger; Naji Alhusaini; Yulin He; Youxi Wu; Debdatta Bhattacharya (MIWAI, 2022)

A novel dependency-oriented mixed-attribute data classification method. - Yu-Lin He; Guiliang Ou; Philippe Fournier-Viger; Joshua Zhexue Huang; Ponnuthurai Nagaratnam Suganthan (Expert Syst. Appl., 2022)

Recent advances in multiple criteria decision making techniques. - Yulin He; Xizhao Wang; Joshua Zhexue Huang (Int. J. Mach. Learn. Cybern., 2022)

Correction to: Recent advances in multiple criteria decision making techniques. - Yulin He; Xizhao Wang; Joshua Zhexue Huang (Int. J. Mach. Learn. Cybern., 2022)

Creating synthetic minority class samples based on autoencoder extreme learning machine. - Yu-Lin He; Shengsheng Xu; Joshua Zhexue Huang (Pattern Recognit., 2022)

Bayesian Attribute Bagging-Based Extreme Learning Machine for High-Dimensional Classification and Regression. - Yulin He; Xuan Ye; Joshua Zhexue Huang; Philippe Fournier-Viger (ACM Trans. Intell. Syst. Technol., 2022)

Adaptive Scale and Spatial Aggregation for Real-Time Object Detection. - Wei Chen 009; Yulin He; Zhengfa Liang; Yulan Guo (ICASSP, 2023)

Birds of a Feather Purchase Together: Accurate Social Network Inference using Transaction Data. - Jiaxing Shen; Yulin He; Yunfei Long; Jiaqi Wen; Yanwen Wang 001; Yu Yang 012 (ICDM (Workshops), 2023)

Reconstruction-Aware Prior Distillation for Semi-supervised Point Cloud Completion. - Zhaoxin Fan; Yulin He; Zhicheng Wang; Kejian Wu; Hongyan Liu 002; Jun He 008 (IJCAI, 2023)

Input Uncertainty Quantification Via Simulation Bootstrapping. - Manjing Zhang; Yulin He; Guangwu Liu; Shan Dai (WSC, 2023)

Random vector functional link network with subspace-based local connections. - Yu-Lin He; Zhen-Hao Yuan; Joshua Zhexue Huang (Appl. Intell., 2023)

Pseudo-label Correction and Learning For Semi-Supervised Object Detection. - Yulin He; Wei Chen 009; Ke Liang 006; Yusong Tan; Zhengfa Liang; Yulan Guo (CoRR, 2023)

USD: Unknown Sensitive Detector Empowered by Decoupled Objectness and Segment Anything Model. - Yulin He; Wei Chen 009; Yusong Tan; Siqi Wang 001 (CoRR, 2023)

Deep Learning on Monocular Object Pose Detection and Tracking: A Comprehensive Overview. - Zhaoxin Fan; Yazhi Zhu; Yulin He; Qi Sun; Hongyan Liu 002; Jun He 008 (ACM Comput. Surv., 2023)

Wireless Network Slice Assignment With Incremental Random Vector Functional Link Network. - Yulin He; Xuan Ye; Laizhong Cui; Philippe Fournier-Viger; Chengwen Luo 001; Joshua Zhexue Huang; Ponnuthurai Nagaratnam Suganthan (IEEE Trans. Netw. Sci. Eng., 2023)

A Hybrid Method to Measure Distribution Consistency of Mixed-Attribute Datasets. - Yulin He; Xuan Ye; De-Fa Huang; Philippe Fournier-Viger; Joshua Zhexue Huang (IEEE Trans. Artif. Intell., 2023)

PSAC-PDB: Analysis and classification of protein structures. - M. Saqib Nawaz; Philippe Fournier-Viger; Yulin He; Qin Zhang 011 (Comput. Biol. Medicine, 2023)

A novel correlation Gaussian process regression-based extreme learning machine. - Xuan Ye; Yulin He; Manjing Zhang; Philippe Fournier-Viger; Joshua Zhexue Huang (Knowl. Inf. Syst., 2023)

Survey of Distributed Computing Frameworks for Supporting Big Data Analysis. - Xudong Sun 004; Yulin He; Dingming Wu 001; Joshua Zhexue Huang (Big Data Min. Anal., 2023)

Observation points classifier ensemble for high-dimensional imbalanced classification. - Yulin He; Xu Li; Philippe Fournier-Viger; Joshua Zhexue Huang; Mianjie Li; Salman Salloum (CAAI Trans. Intell. Technol., 2023)

Using alignment-free and pattern mining methods for SARS-CoV-2 genome analysis. - M. Saqib Nawaz; Philippe Fournier-Viger; Memoona Aslam; Wenjin Li; Yulin He; Xinzheng Niu (Appl. Intell., 2023)

A novel observation points-based positive-unlabeled learning algorithm. - Yulin He; Xu Li; Manjing Zhang; Philippe Fournier-Viger; Joshua Zhexue Huang; Salman Salloum (CAAI Trans. Intell. Technol., 2023)

Image Coding for Analytics via Adversarially Augmented Adaptation. - Xuelin Shen; Kangsheng Yin; Xu Wang 006; Yulin He; Shiqi Wang 001; Wenhan Yang (ICASSP, 2024)

Don't Turn a Blind Eye to Localization Noise: Localization Pseudo-label Correction and Learning for Semi-Supervised Object Detection. - Yulin He; Wei Chen 009; Zhengfa Liang; Ke Liang 006; Yusong Tan; Tianrui Liu; Yulan Guo (ICME, 2024)

Sliced Maximal Information Coefficient: A Training-Free Approach for Image Quality Assessment Enhancement. - Kang Xiao; Xu Wang 006; Yulin He; Baoliang Chen; Xuelin Shen (ICME, 2024)

Distinguishing Textual Prompt Importance: Image-Guided Text Weighting for CLIP-Based Few-shot Learning. - Tianci Xun; Wei Chen 009; Yulin He; Di Wu; Yuanming Gao; Jiuyuan Zhu; Weiwei Zheng (ICME, 2024)

Sniffing Threatening Open-World Objects in Autonomous Driving by Open-Vocabulary Models. - Yulin He; Siqi Wang 001; Wei Chen 009; Tianci Xun; Yusong Tan (ACM Multimedia, 2024)

Cryogenic Oxide-VCSEL at 2.8 K Demonstrates Record Bandwidth f-3dB > 50 GHz, Pout > 14 mW and PAM-4 Data Rate up to 128 Gb/s. - Haonan Wu; Wenning Fu; Zetai Liu; Yulin He; Milton Feng (OFC, 2024)

Unleashing the Class-Incremental Learning Potential of Foundation Models by Virtual Feature Generation and Replay. - Tianci Xun; Zhong Zheng; Yulin He; Wei Chen 009; Weiwei Zheng (PRCV (5), 2024)

Analysis and Classification of Fake News Using Sequential Pattern Mining. - Muhammad Zohaib Nawaz; M. Saqib Nawaz; Philippe Fournier-Viger; Yulin He (Big Data Min. Anal., 2024)

A novel member enhancement-based clustering ensemble algorithm. - Yulin He; Jin Yang; Yingchao Cheng; Xueqin Du; Joshua Zhexue Huang (Concurr. Comput. Pract. Exp., 2024)

Real-Time 3D Occupancy Prediction via Geometric-Semantic Disentanglement. - Yulin He; Wei Chen 009; Tianci Xun; Yusong Tan (CoRR, 2024)

A multiple kernel-based kernel density estimator for multimodal probability density functions. - Jia-Qi Chen; Yu-Lin He; Yingchao Cheng; Philippe Fournier-Viger; Joshua Zhexue Huang (Eng. Appl. Artif. Intell., 2024)

Introduction to the special issue on recent advances on digital economy-oriented artificial intelligence. - Yu-Lin He; Philippe Fournier-Viger; Sebastián Ventura; Ling Zhang (Eng. Appl. Artif. Intell., 2024)

A novel and efficient risk minimisation-based missing value imputation algorithm. - Yu-Lin He; Jia-Yin Yu; Xu Li; Philippe Fournier-Viger; Joshua Zhexue Huang (Knowl. Based Syst., 2024)

A novel overlapping minimization SMOTE algorithm for imbalanced classification. - Yulin He; Xuan Lu; Philippe Fournier-Viger; Joshua Zhexue Huang (Frontiers Inf. Technol. Electron. Eng., 2024)

Density estimation-based method to determine sample size for random sample partition of big data. - Yulin He; Jiaqi Chen; Jiaxing Shen; Philippe Fournier-Viger; Joshua Zhexue Huang (Frontiers Comput. Sci., 2024)

Achieving Speed-Accuracy Balance in Vision-based 3D Occupancy Prediction via Geometric-Semantic Disentanglement. - Yulin He; Wei Chen 009; Siqi Wang 001; Tianci Xun; Yusong Tan (AAAI, 2025)

Unified Coding for Both Human Perception and Generalized Machine Analytics with CLIP Supervision. - Kangsheng Yin; Quan Liu; Xuelin Shen; Yulin He; Wenhan Yang; Shiqi Wang 001 (AAAI, 2025)

A Cost-effective Solution for Remote Sensing Image Segmentation via Train/Test-Time Adaptation. - Wei Chen 009; Xin Luo 009; Yulin He; Tianrui Liu; Di Wu; Tianhang Guo; Yuhang Li; Yuhua Tang (ICASSP, 2025)

KD-MedSAM: Lightweight Knowledge Distillation of Segment Anything Model for Multi-modality Medical Image Segmentation. - Wenjuan Zhou; Jiuyuan Zhu; Wei Chen 009; Chen Li 034; Yulin He; Mu He (ICIC (28), 2025)

Hierarchical Neural Architecture Search for Fast and Accurate Depth Completion. - Xiaogang Jia; Songlei Jian; Yusong Tan; Yonggang Che; Wei Chen 009; Zhengfa Liang; Yulin He (ICMR, 2025)

Discriminative local affine-hull clustering for high-dimensional data. - Yu-Feng Yu; Jiali Luo; Xuanyi Chen; Yingchao Cheng; Yulin He; Joshua Zhexue Huang (Array, 2025)

Attribute grouping-based naive Bayesian classifier. - Yulin He; Guiliang Ou; Philippe Fournier-Viger; Joshua Zhexue Huang (Sci. China Inf. Sci., 2025)

A comprehensive multimodal benchmark of neuromorphic training frameworks for spiking neural networks. - Yingchao Cheng; Wang-Xin Hu; Yu-Lin He; Joshua Zhexue Huang (Eng. Appl. Artif. Intell., 2025)

Relaxed naïve Bayesian classifier based on maximum dependent attribute groups. - Guiliang Ou; Yu-Lin He; Yingchao Cheng; Joshua Zhexue Huang (Inf. Sci., 2025)

A novel multi-source weighted naive Bayes classifier. - Guiliang Ou; Yu-Lin He; Philippe Fournier-Viger; Joshua Zhexue Huang (Inf. Sci., 2025)

An Improved Two-Scale Analytical Model for Bistatic Scattering of Wind-Driven Sea Surfaces. - Yulin He; Yue Chen; Yu Mao Wu; Peng Liu 019 (IEEE Geosci. Remote. Sens. Lett., 2025)

ASSMark: Dual Defense Against Speech Synthesis Attack via Adversarial Robust Watermarking. - Yulin He; Hongxia Wang 001; Yiqin Qiu; Hao Cao (IEEE Signal Process. Lett., 2025)

Recalling Unknowns Without Losing Precision: An Effective Solution to Large Model-Guided Open World Object Detection. - Yulin He; Wei Chen 009; Siqi Wang 001; Tianrui Liu 001; Meng Wang 001 (IEEE Trans. Image Process., 2025)

Breaking Boundaries: Unifying Imaging and Compression for HDR Image Compression. - Xuelin Shen; Linfeng Pan; Zhangkai Ni; Yulin He; Wenhan Yang; Shiqi Wang 001; Sam Kwong (IEEE Trans. Image Process., 2025)

A data-driven fused kernel density estimator for multi-modal distribution. - Yu-Lin He; Chun-Jia Chen; Jia-Qi Chen (Inf. Fusion, 2026)

HUF4WP: A data-fusion framework leveraging high-utility patterns for renewable energy classification. - M. Saqib Nawaz; Philippe Fournier-Viger; Muhammad Zohaib Nawaz; Yulin He; Unil Yun (Inf. Fusion, 2026)