An Analytic Expression of Thermal Diffusion Coefficient for the Hydrodynamic Simulation of Semiconductor Devices. - Ting-Wei Tang; Xinlin Wang; Haitao Gan; Mei-Kei Ieong (VLSI Design, 2001)

Integrated CMOS transmit-receive switch using LC-tuned substrate bias for 2.4-GHz and 5.2-GHz applications. - Niranjan A. Talwalkar; C. Patrick Yue; Haitao Gan; S. Simon Wong (IEEE J. Solid State Circuits, 2004)

A Dual-Band CMOS MIMO Radio SoC for IEEE 802.11n Wireless LAN. - Lalitkumar Nathawad; Masoud Zargari; Hirad Samavati; Srenik S. Mehta; Alireza Kheirkhahi; Phoebe Chen; Ke Gong; Babak Vakili-Amini; Justin A. Hwang; Mike Shuo-Wei Chen; Manolis Terrovitis; Brian J. Kaczynski; et al. (ISSCC, 2008)

A Single-Chip CMOS Bluetooth v2.1 Radio SoC. - William W. Si; David Weber; Shahram Abdollahi-Alibeik; MeeLan Lee; Richard Chang 003; Hakan Dogan; Haitao Gan; Yashar Rajavi; Susan Luschas; Soner Özgür; Paul J. Husted; Masoud Zargari (IEEE J. Solid State Circuits, 2008)

A Dual-Band CMOS MIMO Radio SoC for IEEE 802.11n Wireless LAN. - Masoud Zargari; Lalitkumar Nathawad; Hirad Samavati; Srenik S. Mehta; Alireza Kheirkhahi; Phoebe Chen; Ke Gong; Babak Vakili-Amini; Justin A. Hwang; Mike Shuo-Wei Chen; Manolis Terrovitis; Brian J. Kaczynski; et al. (IEEE J. Solid State Circuits, 2008)

A single-chip CMOS bluetooth v. 2.1 radio SoC. - Paul J. Husted; William W. Si; David Weber; Shahram Abdollahi-Alibeik; MeeLan Lee; Richard Chang 003; Hakan Dogan; Haitao Gan; Yashar Rajavi; Susan Luschas; Soner Özgür; Masoud Zargari (IEEE Commun. Mag., 2009)

Design and implementation of a CMO 802.11n SoC. - Sundar G. Sankaran; Brian J. Zargari; Lalitkumar Nathawad; Hirad Samavati; Srenik S. Mehta; Alireza Kheirkhahi; Phoebe Chen; Ke Gong; Babak Vakili-Amini; Justin A. Hwang; Mike Shuo-Wei Chen; Manolis Terrovitis; et al. (IEEE Commun. Mag., 2009)

A Nonlinear Camera Calibration Method Based on Area. - Wei Li; Xiaojun Tong; Haitao Gan (ICICA (1), 2010)

Locally Adaptive Shearlet Denoising Based on Bayesian MAP Estimate. - Zhiping Dan; Xi Chen; Haitao Gan; Changxin Gao (ICIG, 2011)

A 65nm dual-band 3-stream 802.11n MIMO WLAN SoC. - Shahram Abdollahi-Alibeik; David Weber; Hakan Dogan; William W. Si; Burcin Baytekin; Abbas Komijani; Richard Chang 003; Babak Vakili-Amini; MeeLan Lee; Haitao Gan; Yashar Rajavi; Hirad Samavati; et al. (ISSCC, 2011)

Manifold Regularized Gaussian Mixture Model for Semi-supervised Clustering. - Haitao Gan; Nong Sang; Rui Huang 001; Xi Chen (ACPR, 2013)

Medical Ultrasonography Denoising Using Sparse Coding Shrinkage. - Xi Chen; Nong Sang; Haitao Gan; Zhiping Dan; Yanfei Chen; Hexing Ren (ICIG, 2013)

An Improved Self-Training for Face Recognition. - Haitao Gan; Nong Sang; Xi Chen; Zhiping Dan; Hexing Ren (ICIG, 2013)

Semi-supervised Kernel Minimum Squared Error Based on Manifold Structure. - Haitao Gan; Nong Sang; Xi Chen (ISNN (1), 2013)

Using clustering analysis to improve semi-supervised classification. - Haitao Gan; Nong Sang; Rui Huang 001; Xiaojun Tong; Zhiping Dan (Neurocomputing, 2013)

Sparsity Based Feature Extraction for Kernel Minimum Squared Error. - Jiang Jiang; Xi Chen; Haitao Gan; Nong Sang (CCPR (1), 2014)

Towards designing risk-based safe Laplacian Regularized Least Squares. - Haitao Gan; Zhizeng Luo; Yao Sun; Xugang Xi; Nong Sang; Rui Huang 001 (Expert Syst. Appl., 2016)

Towards a probabilistic semi-supervised Kernel Minimum Squared Error algorithm. - Haitao Gan; Rui Huang 001; Zhizeng Luo; Yingle Fan; Farong Gao (Neurocomputing, 2016)

A risk degree-based safe semi-supervised learning algorithm. - Haitao Gan; Zhizeng Luo; Ming Meng; Yuliang Ma 002; Qingshan She (Int. J. Mach. Learn. Cybern., 2016)

Gait Recognition Using GA-SVM Method Based on Electromyography Signal. - Ying Li; Farong Gao; Xiao Zheng; Haitao Gan (ICIRA (1), 2017)

A multi-task collaborative learning method based on auxiliary training and geometric constraints. - Gaoyuan Mu; Qingshan She; Zhuo Tian; Haitao Gan; Peng Jiang (ICPS, 2018)

Dual Learning-Based Safe Semi-Supervised Learning. - Haitao Gan; Zhenhua Li; Yingle Fan; Zhizeng Luo (IEEE Access, 2018)

Safe Semi-Supervised Extreme Learning Machine for EEG Signal Classification. - Qingshan She; Bo Hu; Haitao Gan; Yingle Fan; Thinh Nguyen; Thomas Potter; Yingchun Zhang (IEEE Access, 2018)

Local homogeneous consistent safe semi-supervised clustering. - Haitao Gan; Yingle Fan; Zhizeng Luo; Qizhong Zhang (Expert Syst. Appl., 2018)

Safety-aware Graph-based Semi-Supervised Learning. - Haitao Gan; Zhenhua Li; Wei Wu; Zhizeng Luo; Rui Huang 001 (Expert Syst. Appl., 2018)

On using supervised clustering analysis to improve classification performance. - Haitao Gan; Rui Huang 001; Zhizeng Luo; Xugang Xi; Yunyuan Gao (Inf. Sci., 2018)

An entropy fusion method for feature extraction of EEG. - Shunfei Chen; Zhizeng Luo; Haitao Gan (Neural Comput. Appl., 2018)

Safe Semi-Supervised Fuzzy ${C}$ -Means Clustering. - Haitao Gan (IEEE Access, 2019)

Image-Dehazing Method Based on the Fusion Coding of Contours and Colors. - Mingming Tan; Tao Fang; Yingle Fan; Wei Wu; Qingshan She; Haitao Gan (IEEE Access, 2019)

Confidence-weighted safe semi-supervised clustering. - Haitao Gan; Yingle Fan; Zhizeng Luo; Rui Huang 001; Zhi Yang 006 (Eng. Appl. Artif. Intell., 2019)

Adaptive safety degree-based safe semi-supervised learning. - Nong Sang; Haitao Gan; Yingle Fan; Wei Wu 021; Zhi Yang 006 (Int. J. Mach. Learn. Cybern., 2019)

Generalization improvement for regularized least squares classification. - Haitao Gan; Qingshan She; Yuliang Ma 002; Wei Wu; Ming Meng (Neural Comput. Appl., 2019)

A hybrid safe semi-supervised learning method. - Haitao Gan; Li Guo; Siyu Xia; Tao Wang (Expert Syst. Appl., 2020)

Finite-time and fixed-time impulsive synchronization of chaotic systems. - Wengang Ao; Tiedong Ma; René-Vinicio Sánchez; Haitao Gan (J. Frankl. Inst., 2020)

Spatio-temporal SRU with global context-aware attention for 3D human action recognition. - Qingshan She; Gaoyuan Mu; Haitao Gan; Yingle Fan (Multim. Tools Appl., 2020)

A Multimodal Biomedical Image Registration Method Based on an Improved Genetic Algorithm Inspired by Hybrid Breeding. - Zeqing Qin; Zhiwei Ye; Zesong Wang; Haitao Gan; Furong Wang (SMC, 2021)

Joint exploring of risky labeled and unlabeled samples for safe semi-supervised clustering. - Li Guo; Haitao Gan; Siyu Xia; Xiaobin Xu 002; Tao Zhou (Expert Syst. Appl., 2021)

Capped ℓ1-norm regularized least squares classification with label noise. - Zhi Yang 006; Haitao Gan; Xuan Li; Cong Wu (J. Intell. Fuzzy Syst., 2021)

Developing a feature decoder network with low-to-high hierarchies to improve edge detection. - Tao Fang; Mingqi Zhang; Yingle Fan; Wei Wu; Haitao Gan; Qingshan She (Multim. Tools Appl., 2021)

TBC-Unet: U-net with Three-Branch Convolution for Gliomas MRI Segmentation. - Yongpu Yang; Haitao Gan; Zhi Yang 006 (ICIC (2), 2022)

Hierarchical Pooling Graph Convolutional Neural Network for Alzheimer's Disease Diagnosis. - Wenya Liu; Zhi Yang 006; Haitao Gan; Zhongwei Huang; Ran Zhou 002; Ming Shi 001 (PRICAI (1), 2022)

VaeSSC: Enhanced GRN Inference with Structural Similarity Constrained Beta-VAE. - Hongmin Zhang; Ming Shi 001; Zhongwei Huang; Zhi Yang 006; Ran Zhou 002; Haitao Gan (PRICAI (1), 2022)

A Safe Semi-supervised Graph Convolution Network. - Zhi Yang 006; Yadong Yan; Haitao Gan; Jing Zhao; Zhiwei Ye (CoRR, 2022)

SSTVC: Carotid Plaque Classification from Ultrasound Images Using Self-supervised Triple-View Contrast Learning. - Cheng Li; Xiaoyue Fang; Ran Zhou 002; Zhi Yang 006; Haitao Gan (ICIC (3), 2023)

LDW-RS Loss: Label Density-Weighted Loss with Ranking Similarity Regularization for Imbalanced Deep Fetal Brain Age Regression. - Yang Liu; Siru Wang; Wei Xia; Aaron Fenster; Haitao Gan; Ran Zhou 002 (ICONIP (10), 2023)

MView-DTI: A Multi-view Feature Fusion-Based Approach for Drug-Target Protein Interaction Prediction. - Jiahui Wen; Haitao Gan; Zhi Yang 006; Ming Shi 001; Ji Wang (ICONIP (10), 2023)

A Multi-scale and Multi-attention Network for Skin Lesion Segmentation. - Cong Wu; Hang Zhang; Ding-Sheng Chen; Haitao Gan (ICONIP (4), 2023)

SAL-Net: Semi-Supervised Auxiliary Learning Network for Carotid Plaques Classification. - Lingchao Fu; Haitao Gan; Weiyan Gan; Zhi Yang 006; Ran Zhou 002; Furong Wang (SMC, 2023)

HD-GCN: A Hybrid Diffusion Graph Convolutional Network. - Zhi Yang 006; Kang Li; Haitao Gan; Zhongwei Huang; Ming Shi 001 (CoRR, 2023)

Self-training with dual uncertainty for semi-supervised medical image segmentation. - Zhanhong Qiu; Haitao Gan; Ming Shi 001; Zhongwei Huang; Zhi Yang 006 (CoRR, 2023)

A multi-task learning framework for carotid plaque segmentation and classification from ultrasound images. - Haitao Gan; Ran Zhou 002; Yanghan Ou; Furong Wang; Xinyao Cheng; Xiaoyan Wu; Aaron Fenster (CoRR, 2023)

Safe semi-supervised clustering based on Dempster-Shafer evidence theory. - Haitao Gan; Zhi Yang 006; Ran Zhou 002; Li Guo; Zhiwei Ye; Rui Huang 001 (Eng. Appl. Artif. Intell., 2023)

Adaptive safety-aware semi-supervised clustering. - Haitao Gan; Zhi Yang 006; Ran Zhou 002 (Expert Syst. Appl., 2023)

An adaptively weighted ensemble of multiple CNNs for carotid ultrasound image segmentation. - Ran Zhou 002; Furong Wang; Xiaoyue Fang; Aaron Fenster; Haitao Gan (Biomed. Signal Process. Control., 2023)

BGMA-Net: A Boundary-Guided and Multi-attention Network for Skin Lesion Segmentation. - Cong Wu; Yao Li; Yuan Zhou; Haitao Gan; Yi Han (ICIC (3), 2024)

Contrastive pre-training of Soft-Clustering GCN for diagnosing Alzheimer's disease. - Sihui Ge; Zhi Yang 006; Haitao Gan; Zhongwei Huang; Ran Zhou 002; Ji Wang (IJCNN, 2024)

Adaptive Sparse Learning Based on Flexible Graph Embedding for Parkinson's Disease Diagnosis. - Zhongwei Huang; Jianqiang Li 005; Jiatao Yang; Ran Zhou 002; Jun Wan; Haitao Gan (IJCNN, 2024)

Parkinson's Disease Diagnosis with Sparse Learning of Multi-Modal Adaptive Similarity. - Jianqiang Li 005; Jiatao Yang; Haitao Gan; Zhongwei Huang (ISBI, 2024)

Self-training with dual uncertainty for semi-supervised MRI image segmentation. - Zhanhong Qiu; Haitao Gan; Ming Shi 001; Zhongwei Huang; Zhi Yang 006 (Biomed. Signal Process. Control., 2024)

Alzheimer's disease classification based on brain region-to-sample graph convolutional network. - Zhi Yang 006; Wenya Liu; Haitao Gan; Zhongwei Huang; Ran Zhou 002; Ming Shi 001 (Biomed. Signal Process. Control., 2024)

Tri-correcting: Label noise correction via triple CNN ensemble for carotid plaque ultrasound image classification. - Ran Zhou 002; Weiyan Gan; Furong Wang; Zhi Yang 006; Zhongwei Huang; Haitao Gan (Biomed. Signal Process. Control., 2024)

JoCoRank: Joint correlation learning with ranking similarity regularization for imbalanced fetal brain age regression. - Ran Zhou 002; Yang Liu; Wei Xia; Yu Guo; Zhongwei Huang; Haitao Gan; Aaron Fenster (Comput. Biol. Medicine, 2024)

An image registration-based self-supervised Su-Net for carotid plaque ultrasound image segmentation. - Jing Ding; Ran Zhou 002; Xiaoyue Fang; Furong Wang; Ji Wang; Haitao Gan; Aaron Fenster (Comput. Methods Programs Biomed., 2024)

WAL-Net: Weakly supervised auxiliary task learning network for carotid plaques classification. - Haitao Gan; Lingchao Fu; Ran Zhou 002; Weiyan Gan; Furong Wang; Xiaoyan Wu; Zhi Yang 006; Zhongwei Huang (Eng. Appl. Artif. Intell., 2024)

Discrimination-aware safe semi-supervised clustering. - Haitao Gan; Weiyan Gan; Zhi Yang 006; Ran Zhou 002 (Inf. Sci., 2024)

Incomplete Multimodal Alzheimer's Disease Classification via Bidirectional GAN and Spectral Graph Learning. - Bo Cheng; Zhi Yang 006; Haitao Gan; Zhongwei Huang; Ran Zhou 002; Ming Shi 001; Lei Cheng (ICIC (9), 2025)

A Multi-task Learning Framework for Carotid Plaque Area Measurement in Imbalanced Datasets. - Xinyan Fan; Zhenyu Gan; Jiyu Tao; Xinyao Cheng; Ji Wang; Ran Zhou 002; Zhongwei Huang; Haitao Gan (ICIC (17), 2025)

Localized Neighborhood Label Distribution Learning with Manifold-Regularization for Fetal Brain Age Estimation from MRI. - Yiyuan Zhou; Ran Zhou 002; Wei Xia; Yu Guo; Zhongwei Huang; Haitao Gan (ICIC (5), 2025)

Incomplete multi-view feature selection with adaptive consensus graph constraint for Parkinson's disease diagnosis. - Zhongwei Huang; Jianqiang Li 005; Jun Wan; Jianxia Chen; Zhi Yang 006; Ming Shi 001; Ran Zhou 002; Haitao Gan (Appl. Soft Comput., 2025)

Parkinson's disease classification and prediction via adaptive sparse learning from multiple modalities. - Zhongwei Huang; Jianqiang Li 005; Jiatao Yang; Jun Wan; Jianxia Chen; Zhi Yang 006; Ming Shi 001; Ran Zhou 002; Haitao Gan (Biomed. Signal Process. Control., 2025)

SML-Net: Semi-supervised multi-task learning network for carotid plaque segmentation and classification. - Haitao Gan; Liang Liu; Furong Wang; Zhi Yang 006; Zhongwei Huang; Ran Zhou 002 (Comput. Medical Imaging Graph., 2025)

FeaCL: Carotid plaque classification from ultrasound images using feature-level and instance-level contrast learning. - Cheng Li; Kai Wang; Haitao Gan; Ran Zhou 002; Xinyao Cheng; Zhi Yang 006 (Comput. Medical Imaging Graph., 2025)

Adaptive feature selection with flexible mapping for diagnosis and prediction of Parkinson's disease. - Zhongwei Huang; Jianqiang Li 005; Jiatao Yang; Jun Wan; Jianxia Chen; Zhi Yang 006; Ming Shi 001; Ran Zhou 002; Haitao Gan (Eng. Appl. Artif. Intell., 2025)