Long-Term Prediction of Discharges in Manwan Hydropower Using Adaptive-Network-Based Fuzzy Inference Systems Models. - Chuntian Cheng; Jianyi Lin; Yingguang Sun; Kwok-Wing Chau (ICNC (3), 2005)

Long-Term Prediction of Discharges in Manwan Reservoir Using Artificial Neural Network Models. - Chuntian Cheng; Kwok-Wing Chau; Yingguang Sun; Jianyi Lin (ISNN (3), 2005)

Short-Term Load Forecasting Using Support Vector Machine with SCE-UA Algorithm. - Gang Li; Chuntian Cheng; Jianyi Lin; Yun Zeng (ICNC (1), 2007)

A Pareto Strength SCE-UA Algorithm for Reservoir Optimization Operation. - Jianyi Lin; Chun-Tian Cheng; Tao Lin 009 (ICNC (1), 2008)

Design of Obstacle Modal Discrimination System Based on the Neural Network. - Hui Liu; Jianyi Lin; Qian Li (IJCBS, 2009)

Modeling neuronal ensemble firing activity through intermittent Chaos. - Riccardo Storchi; Antonio G. Zippo; Giancarlo Caramenti; Maurizio Valente; Jianyi Lin; Gabriele E. M. Biella (BIC-TA, 2010)

The application of spatial Lorenz curve (SLC) and Gini coefficient in measuring land use structure change. - Yu Song; Quanyi Qiu; Qinghai Guo; Jianyi Lin; Fangyi Li; Yuxian Yu; Xuanqi Li; Lina Tang (Geoinformatics, 2010)

Size Constrained Distance Clustering: Separation Properties and Some Complexity Results. - Alberto Bertoni; Massimiliano Goldwurm; Jianyi Lin; Francesco Saccà (Fundam. Informaticae, 2012)

STRING v9.1: protein-protein interaction networks, with increased coverage and integration. - Andrea Franceschini; Damian Szklarczyk; Sune Frankild; Michael Kuhn 004; Milan Simonovic; Alexander Roth 001; Jianyi Lin; Pablo Minguez; Peer Bork; Christian von Mering; Lars Juhl Jensen (Nucleic Acids Res., 2013)

Size-constrained 2-clustering in the plane with Manhattan distance. - Alberto Bertoni; Massimiliano Goldwurm; Jianyi Lin; Linda Pini (ICTCS, 2014)

A Selection Module for Large-Scale Face Recognition Systems. - Giuliano Grossi; Raffaella Lanzarotti; Jianyi Lin (ICIAP (2), 2015)

Exact Algorithms for 2-Clustering with Size Constraints in the Euclidean Plane. - Alberto Bertoni; Massimiliano Goldwurm; Jianyi Lin (SOFSEM, 2015)

ECG compression retaining the best natural basis k-coefficients via sparse decomposition. - Alessandro Adamo; Giuliano Grossi; Raffaella Lanzarotti; Jianyi Lin (Biomed. Signal Process. Control., 2015)

High-rate compression of ECG signals by an accuracy-driven sparsity model relying on natural basis. - Giuliano Grossi; Raffaella Lanzarotti; Jianyi Lin (Digit. Signal Process., 2015)

Robust face recognition using sparse representation in LDA space. - Alessandro Adamo; Giuliano Grossi; Raffaella Lanzarotti; Jianyi Lin (Mach. Vis. Appl., 2015)

On the Complexity of Clustering with Relaxed Size Constraints. - Massimiliano Goldwurm; Jianyi Lin; Francesco Saccà (AAIM, 2016)

Within network learning on big graphs using secondary memory-based random walk kernels. - Jianyi Lin; Marco Mesiti; Matteo Re; Giorgio Valentini (COMPLEX NETWORKS, 2016)

SVD-phy: improved prediction of protein functional associations through singular value decomposition of phylogenetic profiles. - Andrea Franceschini; Jianyi Lin; Christian von Mering; Lars Juhl Jensen (Bioinform., 2016)

RANKS: a flexible tool for node label ranking and classification in biological networks. - Giorgio Valentini; Giuliano Armano; Marco Frasca 001; Jianyi Lin; Marco Mesiti; Matteo Re (Bioinform., 2016)

Robust Face Recognition Providing the Identity and Its Reliability Degree Combining Sparse Representation and Multiple Features. - Giuliano Grossi; Raffaella Lanzarotti; Jianyi Lin (Int. J. Pattern Recognit. Artif. Intell., 2016)

Exact algorithms for size constrained 2-clustering in the plane. - Jianyi Lin; Alberto Bertoni; Massimiliano Goldwurm (Theor. Comput. Sci., 2016)

Relationship between sensible heat flux and landcover pattern in an urban area. - Xiaofeng Zhao; Feifei Wang; Xiuguang Liu; Jianyi Lin (Geoinformatics, 2017)

A Note on Modelling a Somatic Motor Space for Affective Facial Expressions. - Alessandro D'Amelio; Vittorio Cuculo; Giuliano Grossi; Raffaella Lanzarotti; Jianyi Lin (ICIAP Workshops, 2017)

Sparse decomposition by iterating Lipschitzian-type mappings. - Alessandro Adamo; Giuliano Grossi; Raffaella Lanzarotti; Jianyi Lin (Theor. Comput. Sci., 2017)

Single Sample Face Recognition by Sparse Recovery of Deep-Learned LDA Features. - Matteo Bodini; Alessandro D'Amelio; Giuliano Grossi; Raffaella Lanzarotti; Jianyi Lin (ACIVS, 2018)

A Local Limit Property for Pattern Statistics in Bicomponent Stochastic Models. - Massimiliano Goldwurm; Jianyi Lin; Marco Vignati (DCFS, 2018)

On the complexity of clustering with relaxed size constraints in fixed dimension. - Massimiliano Goldwurm; Jianyi Lin; Francesco Saccà (Theor. Comput. Sci., 2018)

Analysis of Symbol Statistics in Bicomponent Rational Models. - Massimiliano Goldwurm; Jianyi Lin; Marco Vignati (DLT, 2019)

A Parallel MCMC Algorithm for the Balanced Graph Coloring Problem. - Donatello Conte; Giuliano Grossi; Raffaella Lanzarotti; Jianyi Lin; Alessandro Petrini (GbRPR, 2019)

Saddle Point Method in the analysis of pattern statistics for regular languages. - Massimiliano Goldwurm; Jianyi Lin; Marco Vignati (ICTCS, 2019)

Robust Single-Sample Face Recognition by Sparsity-Driven Sub-Dictionary Learning Using Deep Features. - Vittorio Cuculo; Alessandro D'Amelio; Giuliano Grossi; Raffaella Lanzarotti; Jianyi Lin (Sensors, 2019)

Selection of Information Streams in Social Sensing: an Interdependence- and Cost-aware Ranking Method. - Gabriele Gianini; Corrado Mio; Francesco Viola; Jianyi Lin; Nawaf I. Almoosa (MEDES, 2020)

Hybrid Inspector-Inspectee-Agent Games in Mobile Cloud Computing. - Gabriele Gianini; Francesco Viola; Guido Lena Cota; Jianyi Lin (Q2SWinet, 2020)

A Vertex-centric Markov Chain Algorithm for Network Clustering based on b-Coloring. - Jianyi Lin; Corrado Mio (Q2SWinet, 2020)

Analysis of a parallel MCMC algorithm for graph coloring with nearly uniform balancing. - Donatello Conte; Giuliano Grossi; Raffaella Lanzarotti; Jianyi Lin; Alessandro Petrini (Pattern Recognit. Lett., 2021)

Sparse Logistic Maximum Likelihood Estimation for Optimal Well-Being Determinants. - Jianyi Lin; Emiliano Sironi (IEEE Trans. Emerg. Top. Comput., 2021)

Set-Based Counterfactuals in Partial Classification. - Gabriele Gianini; Jianyi Lin; Corrado Mio; Ernesto Damiani (IPMU (2), 2022)

Heterogeneous Transfer Learning from a Partial Information Decomposition Perspective. - Gabriele Gianini; Annalisa Barsotti; Corrado Mio; Jianyi Lin (MEDES, 2023)

Sparse Models for Machine Learning. - Jianyi Lin (CoRR, 2023)

Local limit laws for symbol statistics in bicomponent rational models. - Massimiliano Goldwurm; Jianyi Lin; Marco Vignati (Theor. Comput. Sci., 2023)

Guest Editorial Emerging Trends and Advances in Graph-Based Methods and Applications. - Alessandro D'Amelio; Jianyi Lin; Jean-Yves Ramel; Raffaella Lanzarotti (IEEE Trans. Emerg. Top. Comput., 2024)

A Decade of Churn Prediction Techniques in the TelCo Domain: A Survey. - Annalisa Barsotti; Gabriele Gianini; Corrado Mio; Jianyi Lin; Himanshi Babbar; Aman Singh; Fatma Taher; Ernesto Damiani (SN Comput. Sci., 2024)

Supervised Ensemble-based Causal DAG Selection. - Corrado Mio; Jianyi Lin; Ernesto Damiani; Gabriele Gianini (SAC, 2025)