Scholar
Jiying Zhang
Google Scholar ID: j90eZ0MAAAAJ
EPFL, IDEA
Citations & Impact
Citations
188
H-index
6
i10-index
5
Publications
14
Co-authors
11
list available
Publications
Resume (English only)
Academic Achievements
- 1. Enhanced Sampling, Public Dataset and Generative Model for Drug-Protein Dissociation Dynamics; 2. BioMD: All-atom Generative Model for Biomolecular Dynamics Simulation; 3. SubGDiff: A Subgraph Diffusion Model to Improve Molecular Representation Learning; 4. Efficient Antibody Structure Refinement Using Energy-Guided SE(3) Flow Matching; 5. A Unified Random Walk, Its Induced Laplacians and Spectral Convolutions for Deep Hypergraph Learning; 6. Fine-Tuning Graph Neural Networks via Graph Topology Induced Optimal Transport; 7. Hypergraph Convolutional Networks via Equivalency Between Hypergraphs and Undirected Graphs; 8. Learnable Hypergraph Laplacian for Hypergraph Learning; 9. GraphTTA: Test Time Adaptation on Graph Neural Networks; 10. A Simple Hypergraph Kernel Convolution Based on Discounted Markov Diffusion Process; 11. Diversified Multiscale Graph Learning with Graph Self-Correction.
Research Experience
- 1. IDEA, Assistant Researcher, July 2023 - present; 2. Tencent AI Lab, Research Intern, Machine Learning Group, February 2021 - August 2022 (Tencent Rhino-bird Elite Talent Program), worked with Yatao Bian and Yu Rong; 3. Tencent AI Lab, Research Intern, Machine Learning Group, November 2019 - November 2020, worked with Tingyang Xu.
Education
- 1. EPFL, PhD student, currently enrolled, co-advised by Prof. Patrick Barth and Prof. Pierre Vandergheynst; 2. Tsinghua University, Master's degree, graduated in 2023, co-advised by Xi Xiao and Shu-Tao Xia.
Background
- Research interests include, but are not limited to, generative models and graph neural networks. Recently interested in protein design and molecular dynamics.
Miscellany
- Personal interests not mentioned
