SPICE models for flicker noise in p-MOSFETs in the saturationregion. - Junlin Zhou; Mengzhang Cheng; Leonard Forbes (IEEE Trans. Comput. Aided Des. Integr. Circuits Syst., 2001)

Clustering High-Dimensional Data Using Growing SOM. - Junlin Zhou; Yan Fu (ISNN (2), 2005)

Scientific Data Lossless Compression Using Fast Neural Network. - Junlin Zhou; Yan Fu (ISNN (1), 2006)

A 100-dB CMRR CMOS Operational Amplifier With Single-Supply Capability. - Vadim Ivanov; Junlin Zhou; Igor M. Filanovsky (IEEE Trans. Circuits Syst. II Express Briefs, 2007)

Time series analysis based on enhanced NLCS. - Da-Cheng Nie; Yan Fu; Junlin Zhou; Yu Ke Fang; Hu Xia (ICIS, 2010)

Spectral clustering algorithm based on adaptive neighbor distance sort order. - Yifei Zhang; Junlin Zhou; Yan Fu (ICIS, 2010)

Research of Outlier Mining Based Adaptive Intrusion Detection Techniques. - Yu Ke Fang; Yan Fu; Junlin Zhou (WKDD, 2010)

Unsupervised Learning Based Distributed Detection of Global Anomalies. - Junlin Zhou; Aleksandar Lazarevic; Kuo-Wei Hsu; Jaideep Srivastava; Yan Fu; Yue Wu (Int. J. Inf. Technol. Decis. Mak., 2010)

From Popularity to Personality - A Heuristic Music Recommendation Method for Niche Market. - Junlin Zhou; Yan Fu; Hua Lu 007; Chong-Jing Sun (J. Comput. Sci. Technol., 2011)

Embedding a mesh of trees in the crossed cube. - Qiang Dong; Junlin Zhou; Yan Fu; Xiaofan Yang (Inf. Process. Lett., 2012)

Semantically enhanced Uyghur Information Retrieval Model. - Bo Ma 004; Yating Yang; Xi Zhou; Junlin Zhou (J. Softw., 2012)

Hamiltonian connectivity of restricted hypercube-like networks under the conditional fault model. - Qiang Dong; Junlin Zhou; Yan Fu; Hui Gao (Theor. Comput. Sci., 2013)

Information Filtering on Coupled Social Networks. - Da-Cheng Nie; Zi-Ke Zhang; Junlin Zhou; Yan Fu; Kui Zhang (CoRR, 2014)

A New Hybrid Approach for Privacy Preserving Distributed Data Mining. - Chong-Jing Sun; Hui Gao; Junlin Zhou; Yan Fu; Li She (IEICE Trans. Inf. Syst., 2014)

A Semisupervised Tag-Transition-Based Markovian Model for Uyghur Morphology Analysis. - Eziz Tursun; Debasis Ganguly; Osman Turghun; Yating Yang; Ghalip Abdukerim; Junlin Zhou; Qun Liu 001 (ACM Trans. Asian Low Resour. Lang. Inf. Process., 2016)

Tool Breakage Detection using Deep Learning. - Guang Li 007; Xin Yang; Duanbing Chen; Anxing Song; Yu Ke Fang; Junlin Zhou (BCD, 2018)

Speckle Reduction of Reconstructions of Digital Holograms Using Gamma-Correction and Filtering. - Xiaohui Huang 005; Zhenhong Jia; Junlin Zhou; Jie Yang 002; Nikola K. Kasabov (IEEE Access, 2018)

Predicting histopathological findings of gastric cancer via deep generalized multi-instance learning. - Mengjie Fang; Wenjuan Zhang; Di Dong; Junlin Zhou; Jie Tian 001 (Image Processing, 2019)

Deep Anomaly Detection for CNC Machine Cutting Tool Using Spindle Current Signals. - Guang Li 007; Yan Fu; Duanbing Chen; Lulu Shi; Junlin Zhou (Sensors, 2020)

Joint Multi-Task Learning for Survival Prediction of Gastric Cancer Patients using CT Images. - Liwen Zhang; Di Dong; Zaiyi Liu; Junlin Zhou; Jie Tian 001 (ISBI, 2021)

Classification and Design of HIV-1 Integrase Inhibitors Based on Machine Learning. - Junlin Zhou; Juan Hao; Lianxin Peng; Huaichuan Duan; Qing Luo; Hailian Yan; Hua Wan; Yichen Hu; Li Liang; Zhenjian Xie; Wei Liu; Gang Zhao; et al. (Comput. Math. Methods Medicine, 2021)

Predicting Critical Nodes in Temporal Networks by Dynamic Graph Convolutional Networks. - Enyu Yu; Yan Fu; Junlin Zhou; Hong-Liang Sun; Duan-Bing Chen (CoRR, 2021)

Finding critical edges in complex networks through local information. - Enyu Yu; Yan Fu; Junlin Zhou; Hong-Liang Sun; Duan-Bing Chen (CoRR, 2021)

Pruning with Compensation: Efficient Channel Pruning for Deep Convolutional Neural Networks. - Zhouyang Xie; Yan Fu; Shengzhao Tian; Junlin Zhou; Duanbing Chen (CoRR, 2021)

Satellite Multispectral and Hyperspectral Image De-Noising with Enhanced Adaptive Generalized Gaussian Distribution Threshold in the Wavelet Domain. - Noorbakhsh Amiri Golilarz; Hui Gao; Saied Pirasteh; Mohammad Yazdi; Junlin Zhou; Yan Fu (Remote. Sens., 2021)

Multi-Focus Network to Decode Imaging Phenotype for Overall Survival Prediction of Gastric Cancer Patients. - Liwen Zhang; Di Dong; Lianzhen Zhong; Cong Li; Chaoen Hu; Xin Yang 001; Zaiyi Liu; Rongpin Wang; Junlin Zhou; Jie Tian 001 (IEEE J. Biomed. Health Informatics, 2021)

Research on Performance Optimization of Alliance Chain Based on Caching Technology. - Xianke Zhou; Ziqiang Zhou; Junlin Zhou; Xin Sun; Qingyi Huang; Shuang Hu (ISCIPT, 2022)

Identifying sinus invasion in meningioma patients before surgery with deep learning. - Qi Qiu; Kai Sun; Jing Zhang; Panpan Liu; Liang Wang; Junting Zhang; Junlin Zhou; Zhenyu Liu; Jie Tian 001 (Computer-Aided Diagnosis, 2022)

Knowledge-guided multi-task attention network for survival risk prediction using multi-center computed tomography images. - Liwen Zhang; Lianzhen Zhong; Cong Li; Wenjuan Zhang; Chaoen Hu; Di Dong; Zaiyi Liu; Junlin Zhou; Jie Tian 001 (Neural Networks, 2022)

A Gaussian Process State Space Model Fusion Physical Model and Residual Analysis for Fatigue Evaluation. - Aijun Yin; Junlin Zhou; Tianyou Liang (Sensors, 2022)

Multiple Model Iterative Learning Control for FES-based Stroke Rehabilitation. - Junlin Zhou; Christopher T. Freeman; William Holderbaum (ACC, 2023)

TableGPT: Towards Unifying Tables, Nature Language and Commands into One GPT. - Liangyu Zha; Junlin Zhou; Liyao Li; Rui Wang 076; Qingyi Huang; Saisai Yang; Jing Yuan; Changbao Su; Xiang Li 106; Aofeng Su; Tao Zhang; Chen Zhou 001; et al. (CoRR, 2023)

Joint learning model for underwater acoustic target recognition. - Shengzhao Tian; Duan-Bing Chen; Yan Fu; Junlin Zhou (Knowl. Based Syst., 2023)

Joint Gaussian mixture model for versatile deep visual model explanation. - Zhouyang Xie; Tianxiang He; Shengzhao Tian; Yan Fu; Junlin Zhou; Duanbing Chen (Knowl. Based Syst., 2023)

SwapTrack: Enhancing RGB-T Tracking via Learning from Paired and Single-Modal Data. - Jianyu Xie; Zhuo Zeng; Zhijie Yang; Junlin Zhou; Di Bai 004; Duanbing Chen (CVIPPR, 2024)

TableGPT2: A Large Multimodal Model with Tabular Data Integration. - Aofeng Su; Aowen Wang; Chao Ye; Chen Zhou 001; Ga Zhang; Gang Chen 001; Guangcheng Zhu; Haobo Wang 001; Haokai Xu; Hao Chen 102; Haoze Li; Haoxuan Lan; et al. (CoRR, 2024)

MRI morphological features combined with apparent diffusion coefficient can predict brain invasion in meningioma. - Xiaoyu Huang; Yuntai Cao; Guojin Zhang; Fuqiang Tang; Dandan Sun; Jialiang Ren; Wenyi Li; Junlin Zhou; Jing Zhang (Comput. Biol. Medicine, 2025)

Multi-Granularity History Graph Network for temporal knowledge graph reasoning. - Jun Zhu; Yan Fu; Junlin Zhou; Duanbing Chen (Data Knowl. Eng., 2025)

Multi-dimension rotations based on quaternion system for modeling various patterns in temporal knowledge graphs. - Jun Zhu; Jiahui Hu; Di Bai 004; Yan Fu; Junlin Zhou; Duanbing Chen (Knowl. Based Syst., 2025)

Multi-Task-oriented Nighttime Haze Imaging Enhancer for Vision-driven Measurement Systems. - Ai Chen; Yuxu Lu; Dong Yang 003; Junlin Zhou; Yan Fu; Duanbing Chen (CoRR, 2025)

Mono: Is Your "Clean" Vulnerability Dataset Really Solvable? Exposing and Trapping Undecidable Patches and Beyond. - Zeyu Gao; Junlin Zhou; Bolun Zhang; Yi He; Chao Zhang; Yuxin Cui; Hao Wang (CoRR, 2025)

A short-term predictive model for disease progression in acute-on-chronic liver failure: integrating spectral CT extracellular liver volume and clinical characteristics. - Yuan Xu; Fukai Li; Bo Liu; Tiezhu Ren; Jiachen Sun; Yufeng Li; Hong Liu; Jianli Liu; Junlin Zhou (BMC Medical Imaging, 2025)