Accelerometer-based smartphone eavesdropping. - Zhongjie Ba; Tianhang Zheng; Zhan Qin; Hanlin Yu; Liu Liu; Baochun Li; Xue Liu 001; Kui Ren 001 (MobiCom, 2020)

PassFace: Enabling Practical Anti-Spoofing Facial Recognition with Camera Fingerprinting. - Liu Liu; Hanlin Yu; Zhongjie Ba; Li Lu 008; Feng Lin 004; Kui Ren 001 (ICC, 2021)

Warped geometric information on the optimisation of Euclidean functions. - Marcelo Hartmann; Bernardo Williams; Hanlin Yu; Mark Girolami; Alessandro Barp; Arto Klami (CoRR, 2023)

Scalable Stochastic Gradient Riemannian Langevin Dynamics in Non-Diagonal Metrics. - Hanlin Yu; Marcelo Hartmann; Bernardo Williams; Arto Klami (Trans. Mach. Learn. Res., 2023)

Riemannian Laplace Approximation with the Fisher Metric. - Hanlin Yu; Marcelo Hartmann; Bernardo Williams Moreno Sanchez; Mark Girolami; Arto Klami (AISTATS, 2024)

Frequency Nadir Solution of the Power System Considering Disturbance Probability Characteristics. - Hui Zeng; Chao Wang; Hanlin Yu; Xiangxu Wang; Hanran Wang; Tingqi Zhang; Wansong Liu; Qiang Zhang; Weidong Li (ICSRS, 2024)

Non-geodesically-convex optimization in the Wasserstein space. - Hoang Phuc Hau Luu; Hanlin Yu; Bernardo Williams; Petrus Mikkola; Marcelo Hartmann; Kai Puolamäki; Arto Klami (NeurIPS, 2024)

Geometric No-U-Turn Samplers: Concepts and Evaluation. - Bernardo Williams; Hanlin Yu; Marcelo Hartmann; Arto Klami (PGM, 2024)

Stochastic variance-reduced Gaussian variational inference on the Bures-Wasserstein manifold. - Hoang Phuc Hau Luu; Hanlin Yu; Bernardo Williams; Marcelo Hartmann; Arto Klami (ICLR, 2025)

Geodesic Slice Sampler for Multimodal Distributions with Strong Curvature. - Bernardo Williams; Hanlin Yu; Hoang Phuc Hau Luu; Georgios Arvanitidis; Arto Klami (UAI, 2025)

Efficient safe learning for controller tuning with experimental validation. - Marta A. Zagorowska; Christopher König; Hanlin Yu; Efe C. Balta; Alisa Rupenyan; John Lygeros (Eng. Appl. Artif. Intell., 2025)

Density Ratio Estimation with Conditional Probability Paths. - Hanlin Yu; Arto Klami; Aapo Hyvärinen; Anna Korba; Omar Chehab (CoRR, 2025)

Learning geometry and topology via multi-chart flows. - Hanlin Yu; Søren Hauberg; Marcelo Hartmann; Arto Klami; Georgios Arvanitidis (CoRR, 2025)

Connecting Neural Models Latent Geometries with Relative Geodesic Representations. - Hanlin Yu; Berfin Inal; Georgios Arvanitidis; Søren Hauberg; Francesco Locatello; Marco Fumero (CoRR, 2025)