Zhangyang Gao

According to our database, Zhangyang Gao authored at least 67 papers between 2020 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of three.

2024

A Teacher-Free Graph Knowledge Distillation Framework With Dual Self-Distillation.

Lirong Wu, Haitao Lin, Zhangyang Gao, Guojiang Zhao, Stan Z. Li

IEEE Trans. Knowl. Data Eng., September, 2024

A Survey on Generative Diffusion Models.

Hanqun Cao, Cheng Tan, Zhangyang Gao, Yilun Xu, Guangyong Chen, Pheng-Ann Heng, Stan Z. Li

IEEE Trans. Knowl. Data Eng., July, 2024

Beyond Homophily and Homogeneity Assumption: Relation-Based Frequency Adaptive Graph Neural Networks.

Lirong Wu, Haitao Lin, Bozhen Hu, Cheng Tan, Zhangyang Gao, Zicheng Liu, Stan Z. Li

IEEE Trans. Neural Networks Learn. Syst., June, 2024

AQND: An asymmetric quorum-based neighbor discovery protocol for reducing delay in sensor based systems.

Ziqing Xia, Zhangyang Gao, Anfeng Liu, Neal N. Xiong

Inf. Sci., January, 2024

FoldToken2: Learning compact, invariant and generative protein structure language.

Zhangyang Gao, Cheng Tan, Stan Z. Li

CoRR, 2024

Peer Review as A Multi-Turn and Long-Context Dialogue with Role-Based Interactions.

Cheng Tan, Dongxin Lyu, Siyuan Li, Zhangyang Gao, Jingxuan Wei, Siqi Ma, Zicheng Liu, Stan Z. Li

CoRR, 2024

Retrieval Meets Reasoning: Even High-school Textbook Knowledge Benefits Multimodal Reasoning.

Cheng Tan, Jingxuan Wei, Linzhuang Sun, Zhangyang Gao, Siyuan Li, Bihui Yu, Ruifeng Guo, Stan Z. Li

CoRR, 2024

UniIF: Unified Molecule Inverse Folding.

Zhangyang Gao, Jue Wang, Cheng Tan, Lirong Wu, Yufei Huang, Siyuan Li, Zhirui Ye, Stan Z. Li

CoRR, 2024

FoldToken: Learning Protein Language via Vector Quantization and Beyond.

Zhangyang Gao, Cheng Tan, Jue Wang, Yufei Huang, Lirong Wu, Stan Z. Li

CoRR, 2024

DCS-Net: Pioneering Leakage-Free Point Cloud Pretraining Framework with Global Insights.

Zhe Li, Zhangyang Gao, Cheng Tan, Stan Z. Li, Laurence T. Yang

CoRR, 2024

MLIP: Enhancing Medical Visual Representation with Divergence Encoder and Knowledge-guided Contrastive Learning.

Zhe Li, Laurence T. Yang, Bocheng Ren, Xin Nie, Zhangyang Gao, Cheng Tan, Stan Z. Li

CoRR, 2024

Interpretable and Generalizable Spatiotemporal Predictive Learning with Disentangled Consistency.

Jingxuan Wei, Cheng Tan, Zhangyang Gao, Linzhuang Sun, Bihui Yu, Ruifeng Guo, Stan Z. Li

Proceedings of the Machine Learning and Knowledge Discovery in Databases. Research Track, 2024

A Graph is Worth K Words: Euclideanizing Graph using Pure Transformer.

Zhangyang Gao, Daize Dong, Cheng Tan, Jun Xia, Bozhen Hu, Stan Z. Li

Proceedings of the Forty-first International Conference on Machine Learning, 2024

Deciphering RNA Secondary Structure Prediction: A Probabilistic K-Rook Matching Perspective.

Cheng Tan, Zhangyang Gao, Hanqun Cao, Xingran Chen, Ge Wang, Lirong Wu, Jun Xia, Jiangbin Zheng, Stan Z. Li

Proceedings of the Forty-first International Conference on Machine Learning, 2024

Re-Dock: Towards Flexible and Realistic Molecular Docking with Diffusion Bridge.

Yufei Huang, Odin Zhang, Lirong Wu, Cheng Tan, Haitao Lin, Zhangyang Gao, Siyuan Li, Stan Z. Li

Proceedings of the Forty-first International Conference on Machine Learning, 2024

KW-Design: Pushing the Limit of Protein Design via Knowledge Refinement.

Zhangyang Gao, Cheng Tan, Xingran Chen, Yijie Zhang, Jun Xia, Siyuan Li, Stan Z. Li

Proceedings of the Twelfth International Conference on Learning Representations, 2024

Decoupling Weighing and Selecting for Integrating Multiple Graph Pre-training Tasks.

Tianyu Fan, Lirong Wu, Yufei Huang, Haitao Lin, Cheng Tan, Zhangyang Gao, Stan Z. Li

Proceedings of the Twelfth International Conference on Learning Representations, 2024

RDesign: Hierarchical Data-efficient Representation Learning for Tertiary Structure-based RNA Design.

Cheng Tan, Yijie Zhang, Zhangyang Gao, Bozhen Hu, Siyuan Li, Zicheng Liu, Stan Z. Li

Proceedings of the Twelfth International Conference on Learning Representations, 2024

DiscoGNN: A Sample-Efficient Framework for Self-Supervised Graph Representation Learning.

Jun Xia, Shaorong Chen, Yue Liu, Zhangyang Gao, Jiangbin Zheng, Xihong Yang, Stan Z. Li

Proceedings of the 40th IEEE International Conference on Data Engineering, 2024

PSC-CPI: Multi-Scale Protein Sequence-Structure Contrasting for Efficient and Generalizable Compound-Protein Interaction Prediction.

Lirong Wu, Yufei Huang, Cheng Tan, Zhangyang Gao, Bozhen Hu, Haitao Lin, Zicheng Liu, Stan Z. Li

Proceedings of the Thirty-Eighth AAAI Conference on Artificial Intelligence, 2024

Protein 3D Graph Structure Learning for Robust Structure-Based Protein Property Prediction.

Yufei Huang, Siyuan Li, Lirong Wu, Jin Su, Haitao Lin, Odin Zhang, Zihan Liu, Zhangyang Gao, Jiangbin Zheng, Stan Z. Li

Proceedings of the Thirty-Eighth AAAI Conference on Artificial Intelligence, 2024

Cross-Gate MLP with Protein Complex Invariant Embedding Is a One-Shot Antibody Designer.

Cheng Tan, Zhangyang Gao, Lirong Wu, Jun Xia, Jiangbin Zheng, Xihong Yang, Yue Liu, Bozhen Hu, Stan Z. Li

Proceedings of the Thirty-Eighth AAAI Conference on Artificial Intelligence, 2024

2023

Self-Supervised Learning on Graphs: Contrastive, Generative, or Predictive.

Lirong Wu, Haitao Lin, Cheng Tan, Zhangyang Gao, Stan Z. Li

IEEE Trans. Knowl. Data Eng., April, 2023

MMDesign: Multi-Modality Transfer Learning for Generative Protein Design.

Jiangbin Zheng, Siyuan Li, Yufei Huang, Zhangyang Gao, Cheng Tan, Bozhen Hu, Jun Xia, Ge Wang, Stan Z. Li

CoRR, 2023

Efficiently Predicting Protein Stability Changes Upon Single-point Mutation with Large Language Models.

Yijie Zhang, Zhangyang Gao, Cheng Tan, Stan Z. Li

CoRR, 2023

Boosting the Power of Small Multimodal Reasoning Models to Match Larger Models with Self-Consistency Training.

Cheng Tan, Jingxuan Wei, Zhangyang Gao, Linzhuang Sun, Siyuan Li, Xihong Yang, Stan Z. Li

CoRR, 2023

General Point Model with Autoencoding and Autoregressive.

Zhe Li, Zhangyang Gao, Cheng Tan, Stan Z. Li, Laurence T. Yang

CoRR, 2023

Protein 3D Graph Structure Learning for Robust Structure-based Protein Property Prediction.

Yufei Huang, Siyuan Li, Jin Su, Lirong Wu, Odin Zhang, Haitao Lin, Jingqi Qi, Zihan Liu, Zhangyang Gao, Yuyang Liu, Jiangbin Zheng, Stan Z. Li

CoRR, 2023

Revisiting the Temporal Modeling in Spatio-Temporal Predictive Learning under A Unified View.

Cheng Tan, Jue Wang, Zhangyang Gao, Siyuan Li, Lirong Wu, Jun Xia, Stan Z. Li

CoRR, 2023

VQPL: Vector Quantized Protein Language.

Zhangyang Gao, Cheng Tan, Stan Z. Li

CoRR, 2023

Enhancing Human-like Multi-Modal Reasoning: A New Challenging Dataset and Comprehensive Framework.

Jingxuan Wei, Cheng Tan, Zhangyang Gao, Linzhuang Sun, Siyuan Li, Bihui Yu, Ruifeng Guo, Stan Z. Li

CoRR, 2023

MotifRetro: Exploring the Combinability-Consistency Trade-offs in retrosynthesis via Dynamic Motif Editing.

Zhangyang Gao, Xingran Chen, Cheng Tan, Stan Z. Li

CoRR, 2023

Knowledge-Design: Pushing the Limit of Protein Design via Knowledge Refinement.

Zhangyang Gao, Cheng Tan, Stan Z. Li

CoRR, 2023

Cross-Gate MLP with Protein Complex Invariant Embedding is A One-Shot Antibody Designer.

Cheng Tan, Zhangyang Gao, Stan Z. Li

CoRR, 2023

PrefixMol: Target- and Chemistry-aware Molecule Design via Prefix Embedding.

Zhangyang Gao, Yuqi Hu, Cheng Tan, Stan Z. Li

CoRR, 2023

Generative Tertiary Structure-based RNA Design.

Cheng Tan, Zhangyang Gao, Stan Z. Li

CoRR, 2023

DiffSDS: A language diffusion model for protein backbone inpainting under geometric conditions and constraints.

Zhangyang Gao, Cheng Tan, Stan Z. Li

CoRR, 2023

Learning to Augment Graph Structure for both Homophily and Heterophily Graphs.

Lirong Wu, Cheng Tan, Zihan Liu, Zhangyang Gao, Haitao Lin, Stan Z. Li

Proceedings of the Machine Learning and Knowledge Discovery in Databases: Research Track, 2023

Target-Aware Molecular Graph Generation.

Cheng Tan, Zhangyang Gao, Stan Z. Li

Proceedings of the Machine Learning and Knowledge Discovery in Databases: Applied Data Science and Demo Track, 2023

Co-supervised Pre-training of Pocket and Ligand.

Zhangyang Gao, Cheng Tan, Jun Xia, Stan Z. Li

Proceedings of the Machine Learning and Knowledge Discovery in Databases: Research Track, 2023

Understanding the Limitations of Deep Models for Molecular property prediction: Insights and Solutions.

Jun Xia, Lecheng Zhang, Xiao Zhu, Yue Liu, Zhangyang Gao, Bozhen Hu, Cheng Tan, Jiangbin Zheng, Siyuan Li, Stan Z. Li

Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

ProteinInvBench: Benchmarking Protein Inverse Folding on Diverse Tasks, Models, and Metrics.

Zhangyang Gao, Cheng Tan, Yijie Zhang, Xingran Chen, Lirong Wu, Stan Z. Li

Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

OpenSTL: A Comprehensive Benchmark of Spatio-Temporal Predictive Learning.

Cheng Tan, Siyuan Li, Zhangyang Gao, Wenfei Guan, Zedong Wang, Zicheng Liu, Lirong Wu, Stan Z. Li

Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

Mole-BERT: Rethinking Pre-training Graph Neural Networks for Molecules.

Jun Xia, Chengshuai Zhao, Bozhen Hu, Zhangyang Gao, Cheng Tan, Yue Liu, Siyuan Li, Stan Z. Li

Proceedings of the Eleventh International Conference on Learning Representations, 2023

PiFold: Toward effective and efficient protein inverse folding.

Zhangyang Gao, Cheng Tan, Stan Z. Li

Proceedings of the Eleventh International Conference on Learning Representations, 2023

Global-Context Aware Generative Protein Design.

Cheng Tan, Zhangyang Gao, Jun Xia, Bozhen Hu, Stan Z. Li

Proceedings of the IEEE International Conference on Acoustics, 2023

Temporal Attention Unit: Towards Efficient Spatiotemporal Predictive Learning.

Cheng Tan, Zhangyang Gao, Lirong Wu, Yongjie Xu, Jun Xia, Siyuan Li, Stan Z. Li

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2023

2022

RFold: Towards Simple yet Effective RNA Secondary Structure Prediction.

Cheng Tan, Zhangyang Gao, Stan Z. Li

CoRR, 2022

SimVP: Towards Simple yet Powerful Spatiotemporal Predictive Learning.

Cheng Tan, Zhangyang Gao, Stan Z. Li

CoRR, 2022

Teaching Yourself: Graph Self-Distillation on Neighborhood for Node Classification.

Lirong Wu, Jun Xia, Haitao Lin, Zhangyang Gao, Zicheng Liu, Guojiang Zhao, Stan Z. Li

CoRR, 2022

A Survey on Generative Diffusion Model.

Hanqun Cao, Cheng Tan, Zhangyang Gao, Guangyong Chen, Pheng-Ann Heng, Stan Z. Li

CoRR, 2022

CoSP: Co-supervised pretraining of pocket and ligand.

Zhangyang Gao, Cheng Tan, Lirong Wu, Stan Z. Li

CoRR, 2022

Temporal Attention Unit: Towards Efficient Spatiotemporal Predictive Learning.

Cheng Tan, Zhangyang Gao, Siyuan Li, Yongjie Xu, Stan Z. Li

CoRR, 2022

Generative De Novo Protein Design with Global Context.

Cheng Tan, Zhangyang Gao, Jun Xia, Stan Z. Li

CoRR, 2022

SemiRetro: Semi-template framework boosts deep retrosynthesis prediction.

Zhangyang Gao, Cheng Tan, Lirong Wu, Stan Z. Li

CoRR, 2022

AlphaDesign: A graph protein design method and benchmark on AlphaFoldDB.

Zhangyang Gao, Cheng Tan, Stan Z. Li

CoRR, 2022

GraphMixup: Improving Class-Imbalanced Node Classification by Reinforcement Mixup and Self-supervised Context Prediction.

Lirong Wu, Jun Xia, Zhangyang Gao, Haitao Lin, Cheng Tan, Stan Z. Li

Proceedings of the Machine Learning and Knowledge Discovery in Databases, 2022

SimVP: Simpler yet Better Video Prediction.

Zhangyang Gao, Cheng Tan, Lirong Wu, Stan Z. Li

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2022

Hyperspherical Consistency Regularization.

Cheng Tan, Zhangyang Gao, Lirong Wu, Siyuan Li, Stan Z. Li

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2022

Conditional Local Convolution for Spatio-Temporal Meteorological Forecasting.

Haitao Lin, Zhangyang Gao, Yongjie Xu, Lirong Wu, Ling Li, Stan Z. Li

Proceedings of the Thirty-Sixth AAAI Conference on Artificial Intelligence, 2022

2021

Extensive Deep Temporal Point Process.

Haitao Lin, Cheng Tan, Lirong Wu, Zhangyang Gao, Stan Z. Li

CoRR, 2021

Git: Clustering Based on Graph of Intensity Topology.

Zhangyang Gao, Haitao Lin, Cheng Tan, Lirong Wu, Stan Z. Li

CoRR, 2021

GraphMixup: Improving Class-Imbalanced Node Classification on Graphs by Self-supervised Context Prediction.

Lirong Wu, Haitao Lin, Zhangyang Gao, Cheng Tan, Stan Z. Li

CoRR, 2021

Self-supervised on Graphs: Contrastive, Generative, or Predictive.

Lirong Wu, Haitao Lin, Zhangyang Gao, Cheng Tan, Stan Z. Li

CoRR, 2021

Conditional Local Filters with Explainers for Spatio-Temporal Forecasting.

Haitao Lin, Zhangyang Gao, Lirong Wu, Stan Z. Li

CoRR, 2021

2020

LookHops: light multi-order convolution and pooling for graph classification.

Zhangyang Gao, Haitao Lin, Stan Z. Li

CoRR, 2020

Clustering Based on Graph of Density Topology.

Zhangyang Gao, Haitao Lin, Stan Z. Li

CoRR, 2020