A Global-Local Approach to Extracting Deformable Fashion Items from Web Images. - Lixuan Yang; Helena Rodriguez; Michel Crucianu; Marin Ferecatu (PCM (2), 2016)

Classification-driven Active Contour for Dress Segmentation. - Lixuan Yang; Helena Rodriguez; Michel Crucianu; Marin Ferecatu (VISIGRAPP (4: VISAPP), 2016)

Fully Convolutional Network with Superpixel Parsing for Fashion Web Image Segmentation. - Lixuan Yang; Helena Rodriguez; Michel Crucianu; Marin Ferecatu (MMM (1), 2017)

Structuring of image databases for the suggestion of products for online advertising. (Structuration des bases d'images pour la suggestion des produits pour la publicité en ligne). - Lixuan Yang (2017)

Heterogeneous Data-Aware Federated Learning. - Lixuan Yang; Cedric Beliard; Dario Rossi 001 (CoRR, 2020)

A First Look at Class Incremental Learning in Deep Learning Mobile Traffic Classification. - Giampaolo Bovenzi; Lixuan Yang; Alessandro Finamore; Domenico Ciuonzo; Giuseppe Aceto; Antonio Pescapè; Dario Rossi 001 (TMA, 2021)

Deep Learning and Traffic Classification: Lessons learned from a commercial-grade dataset with hundreds of encrypted and zero-day applications. - Lixuan Yang; Alessandro Finamore; Feng Jun; Dario Rossi 001 (CoRR, 2021)

Thinkback: Task-SpecificOut-of-Distribution Detection. - Lixuan Yang; Dario Rossi 001 (CoRR, 2021)

Quality Monitoring and Assessment of Deployed Deep Learning Models for Network AIOps. - Lixuan Yang; Dario Rossi 001 (IEEE Netw., 2021)

Deep Learning and Zero-Day Traffic Classification: Lessons Learned From a Commercial-Grade Dataset. - Lixuan Yang; Alessandro Finamore; Feng Jun; Dario Rossi 001 (IEEE Trans. Netw. Serv. Manag., 2021)

AppClassNet: a commercial-grade dataset for application identification research. - Chao Wang 103; Alessandro Finamore; Lixuan Yang; Kevin Fauvel; Dario Rossi 001 (Comput. Commun. Rev., 2022)

A Lightweight, Efficient and Explainable-by-Design Convolutional Neural Network for Internet Traffic Classification. - Kevin Fauvel; Alessandro Finamore; Lixuan Yang; Fuxing Chen; Dario Rossi 001 (CoRR, 2022)

How Much Is Enough? A Study on Diffusion Times in Score-Based Generative Models. - Giulio Franzese; Simone Rossi 001; Lixuan Yang; Alessandro Finamore; Dario Rossi 001; Maurizio Filippone; Pietro Michiardi (Entropy, 2023)

Benchmarking Class Incremental Learning in Deep Learning Traffic Classification. - Giampaolo Bovenzi; Alfredo Nascita; Lixuan Yang; Alessandro Finamore; Giuseppe Aceto; Domenico Ciuonzo; Antonio Pescapè; Dario Rossi 001 (IEEE Trans. Netw. Serv. Manag., 2024)