Yanlei Zhang

20 papers A* 4A 2Misc 1Journal 13
YearRankTypeTitle / Venue / Authors
2026 J jnl
MIOFlow 2.0: A unified framework for inferring cellular stochastic dynamics from single cell and spatial transcriptomics data.
CoRR
Xingzhi Sun, João F. Rocha, Brett Phelan, Dhananjay Bhaskar, Guillaume Huguet, Yanlei Zhang, Daniel Sumner Magruder, Alexander Tong, Ke Xu, Oluwadamilola Fasina, Mark Gerstein, Guy Wolf, Natalia Ivanova, Christine L. Chaffer, Smita Krishnaswamy
2025 A* conf
AdaFisher: Adaptive Second Order Optimization via Fisher Information.
ICLR
Damien Martins Gomes, Yanlei Zhang, Eugene Belilovsky, Guy Wolf, Mahdi S. Hosseini
2025 A conf
Geometry-Aware Generative Autoencoders for Warped Riemannian Metric Learning and Generative Modeling on Data Manifolds.
AISTATS
Xingzhi Sun, Danqi Liao, Kincaid MacDonald, Yanlei Zhang, Guillaume Huguet, Guy Wolf, Ian Adelstein, Tim G. J. Rudner, Smita Krishnaswamy
2025 Misc conf
Principal Curvatures Estimation with Applications to Single Cell Data.
ICASSP
Yanlei Zhang, Lydia Mezrag, Xingzhi Sun, Charles Xu, Kincaid MacDonald, Dhananjay Bhaskar, Smita Krishnaswamy, Guy Wolf, Bastian Rieck
2025 J jnl
Principal Curvatures Estimation with Applications to Single Cell Data.
CoRR
Yanlei Zhang, Lydia Mezrag, Xingzhi Sun, Charles Xu, Kincaid MacDonald, Dhananjay Bhaskar, Smita Krishnaswamy, Guy Wolf, Bastian Rieck
2025 J jnl
SlepNet: Spectral Subgraph Representation Learning for Neural Dynamics.
CoRR
Siddharth Viswanath, Rahul Singh, Yanlei Zhang, J. Adam Noah, Joy Hirsch, Smita Krishnaswamy
2024 J jnl
AdaFisher: Adaptive Second Order Optimization via Fisher Information.
CoRR
Damien Martins Gomes, Yanlei Zhang, Eugene Belilovsky, Guy Wolf, Mahdi S. Hosseini
2024 A* conf
Divide and Conquer: Isolating Normal-Abnormal Attributes in Knowledge Graph-Enhanced Radiology Report Generation.
ACM Multimedia
Xiao Liang, Yanlei Zhang, Di Wang, Haodi Zhong, Ronghan Li, Quan Wang
2024 J jnl
Exploring the Manifold of Neural Networks Using Diffusion Geometry.
CoRR
Elliott Abel, Peyton Crevasse, Yvan Grinspan, Selma Mazioud, Folu Ogundipe, Kristof Reimann, Ellie Schueler, Andrew J. Steindl, Ellen Zhang, Dhananjay Bhaskar, Siddharth Viswanath, Yanlei Zhang, Tim G. J. Rudner, Ian Adelstein, Smita Krishnaswamy
2024 J jnl
Geometry-Aware Generative Autoencoders for Warped Riemannian Metric Learning and Generative Modeling on Data Manifolds.
CoRR
Xingzhi Sun, Danqi Liao, Kincaid MacDonald, Yanlei Zhang, Chen Liu, Guillaume Huguet, Guy Wolf, Ian Adelstein, Tim G. J. Rudner, Smita Krishnaswamy
2024 J jnl
Improving and generalizing flow-based generative models with minibatch optimal transport.
Trans. Mach. Learn. Res.
Alexander Tong, Kilian Fatras, Nikolay Malkin, Guillaume Huguet, Yanlei Zhang, Jarrid Rector-Brooks, Guy Wolf, Yoshua Bengio
2024 A conf
Simulation-Free Schrödinger Bridges via Score and Flow Matching.
AISTATS
Alexander Tong, Nikolay Malkin, Kilian Fatras, Lazar Atanackovic, Yanlei Zhang, Guillaume Huguet, Guy Wolf, Yoshua Bengio
2023 A* conf
A Heat Diffusion Perspective on Geodesic Preserving Dimensionality Reduction.
NeurIPS
Guillaume Huguet, Alexander Tong, Edward De Brouwer, Yanlei Zhang, Guy Wolf, Ian Adelstein, Smita Krishnaswamy
2023 J jnl
A Heat Diffusion Perspective on Geodesic Preserving Dimensionality Reduction.
CoRR
Guillaume Huguet, Alexander Tong, Edward De Brouwer, Yanlei Zhang, Guy Wolf, Ian Adelstein, Smita Krishnaswamy
2023 J jnl
Conditional Flow Matching: Simulation-Free Dynamic Optimal Transport.
CoRR
Alexander Tong, Nikolay Malkin, Guillaume Huguet, Yanlei Zhang, Jarrid Rector-Brooks, Kilian Fatras, Guy Wolf, Yoshua Bengio
2023 J jnl
Graph topological property recovery with heat and wave dynamics-based features on graphs.
CoRR
Dhananjay Bhaskar, Yanlei Zhang, Charles Xu, Xingzhi Sun, Oluwadamilola Fasina, Guy Wolf, Maximilian Nickel, Michael Perlmutter, Smita Krishnaswamy
2023 J jnl
Neural FIM for learning Fisher Information Metrics from point cloud data.
CoRR
Oluwadamilola Fasina, Guillaume Huguet, Alexander Tong, Yanlei Zhang, Guy Wolf, Maximilian Nickel, Ian Adelstein, Smita Krishnaswamy
2023 A* conf
Neural FIM for learning Fisher information metrics from point cloud data.
ICML
Oluwadamilola Fasina, Guillaume Huguet, Alexander Tong, Yanlei Zhang, Guy Wolf, Maximilian Nickel, Ian Adelstein, Smita Krishnaswamy
2023 J jnl
Simulation-free Schrödinger bridges via score and flow matching.
CoRR
Alexander Tong, Nikolay Malkin, Kilian Fatras, Lazar Atanackovic, Yanlei Zhang, Guillaume Huguet, Guy Wolf, Yoshua Bengio
2022 J jnl
Solar Array Power Prediction for Near-Space Vehicles Based on a Hybrid Method.
IEEE Access
Yang Gao, Guoning Xu, Sheng Wang, Yongxiang Li, Rong Cai, Zhaojie Li, Yanchu Yang, Yanlei Zhang