Ying, Zhitao

20 publications

ICML 2025 Learning Along the Arrow of Time: Hyperbolic Geometry for Backward-Compatible Representation Learning Ngoc Bui, Menglin Yang, Runjin Chen, Leonardo Neves, Mingxuan Ju, Zhitao Ying, Neil Shah, Tong Zhao

ICML 2025 MindLLM: A Subject-Agnostic and Versatile Model for fMRI-to-Text Decoding Weikang Qiu, Zheng Huang, Haoyu Hu, Aosong Feng, Yujun Yan, Zhitao Ying

ICML 2025 Retrieval-Augmented Language Model for Knowledge-Aware Protein Encoding Jiasheng Zhang, Delvin Ce Zhang, Shuang Liang, Zhengpin Li, Zhitao Ying, Jie Shao

ICML 2025 Scalable Generation of Spatial Transcriptomics from Histology Images via Whole-Slide Flow Matching Tinglin Huang, Tianyu Liu, Mehrtash Babadi, Wengong Jin, Zhitao Ying

ICLR 2024 Thought Propagation: An Analogical Approach to Complex Reasoning with Large Language Models Junchi Yu, Ran He, Zhitao Ying

LoG 2023 MUDiff: Unified Diffusion for Complete Molecule Generation Chenqing Hua, Sitao Luan, Minkai Xu, Zhitao Ying, Jie Fu, Stefano Ermon, Doina Precup

NeurIPSW 2022 Efficient Automatic Machine Learning via Design Graphs Ying-Xin Wu, Jiaxuan You, Jure Leskovec, Zhitao Ying

LoG 2022 GraphFramEx: Towards Systematic Evaluation of Explainability Methods for Graph Neural Networks Kenza Amara, Zhitao Ying, Zitao Zhang, Zhichao Han, Yang Zhao, Yinan Shan, Ulrik Brandes, Sebastian Schemm, Ce Zhang

NeurIPSW 2022 GraphFramEx: Towards Systematic Evaluation of Explainability Methods for Graph Neural Networks Kenza Amara, Zhitao Ying, Zitao Zhang, Zhihao Han, Yinan Shan, Ulrik Brandes, Sebastian Schemm

NeurIPSW 2022 How Powerful Is Implicit Denoising in Graph Neural Networks Songtao Liu, Zhitao Ying, Hanze Dong, Lu Lin, Jinghui Chen, Dinghao Wu

NeurIPSW 2022 Learning Efficient Hybrid Particle-Continuum Representations of Non-Equilibrium N-Body Systems Tailin Wu, Michael Sun, H.G. Jason Chou, Pranay Reddy Samala, Sithipont Cholsaipant, Sophia Kivelson, Jacqueline Yau, Zhitao Ying, E. Paulo Alves, Jure Leskovec, Frederico Fiuza

LoG 2022 Learning Graph Search Heuristics Michal Pándy, Weikang Qiu, Gabriele Corso, Petar Veličković, Zhitao Ying, Jure Leskovec, Pietro Lio

NeurIPS 2021 Modeling Heterogeneous Hierarchies with Relation-Specific Hyperbolic Cones Yushi Bai, Zhitao Ying, Hongyu Ren, Jure Leskovec

NeurIPS 2021 Neural Distance Embeddings for Biological Sequences Gabriele Corso, Zhitao Ying, Michal Pándy, Petar Veličković, Jure Leskovec, Pietro Liò

NeurIPS 2020 Design Space for Graph Neural Networks Jiaxuan You, Zhitao Ying, Jure Leskovec

NeurIPS 2019 GNNExplainer: Generating Explanations for Graph Neural Networks Zhitao Ying, Dylan Bourgeois, Jiaxuan You, Marinka Zitnik, Jure Leskovec

NeurIPS 2019 Hyperbolic Graph Convolutional Neural Networks Ines Chami, Zhitao Ying, Christopher Ré, Jure Leskovec

NeurIPS 2018 Graph Convolutional Policy Network for Goal-Directed Molecular Graph Generation Jiaxuan You, Bowen Liu, Zhitao Ying, Vijay Pande, Jure Leskovec

NeurIPS 2018 Hierarchical Graph Representation Learning with Differentiable Pooling Zhitao Ying, Jiaxuan You, Christopher Morris, Xiang Ren, Will Hamilton, Jure Leskovec

NeurIPS 2017 Inductive Representation Learning on Large Graphs Will Hamilton, Zhitao Ying, Jure Leskovec