Hongyang Gao

According to our database, Hongyang Gao authored at least 35 papers between 2017 and 2024.

Collaborative distances:

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

2024

Dataflow Analysis-Inspired Deep Learning for Efficient Vulnerability Detection.

Benjamin Steenhoek, Hongyang Gao, Wei Le

Proceedings of the 46th IEEE/ACM International Conference on Software Engineering, 2024

Inferring Data Preconditions from Deep Learning Models for Trustworthy Prediction in Deployment.

Shibbir Ahmed, Hongyang Gao, Hridesh Rajan

Proceedings of the 46th IEEE/ACM International Conference on Software Engineering, 2024

2023

High-Frequency Normalizing Flow for Image Rescaling.

Yiming Zhu, Cairong Wang, Chenyu Dong, Ke Zhang, Hongyang Gao, Chun Yuan

IEEE Trans. Image Process., 2023

MotifPiece: A Data-Driven Approach for Effective Motif Extraction and Molecular Representation Learning.

Zhaoning Yu, Hongyang Gao

CoRR, 2023

Meta-AdaM: An Meta-Learned Adaptive Optimizer with Momentum for Few-Shot Learning.

Siyuan Sun, Hongyang Gao

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

Wide Neural Networks as Gaussian Processes: Lessons from Deep Equilibrium Models.

Tianxiang Gao, Xiaokai Huo, Hailiang Liu, Hongyang Gao

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

HSELDA: Heterogeneous Sub-Graph Learning for lncRNA-Disease Associations Prediction.

Tiancheng Zhou, Zachary Glanz, Mei Liu, Jiang Bian, Rui Yin, Hongyang Gao

Proceedings of the IEEE International Conference on Bioinformatics and Biomedicine, 2023

2022

Graph U-Nets.

Hongyang Gao, Shuiwang Ji

IEEE Trans. Pattern Anal. Mach. Intell., 2022

DeepDFA: Dataflow Analysis-Guided Efficient Graph Learning for Vulnerability Detection.

Benjamin Steenhoek, Wei Le, Hongyang Gao

CoRR, 2022

On the optimization and generalization of overparameterized implicit neural networks.

Tianxiang Gao, Hongyang Gao

CoRR, 2022

Gradient Descent Optimizes Infinite-Depth ReLU Implicit Networks with Linear Widths.

Tianxiang Gao, Hongyang Gao

CoRR, 2022

Molecular Graph Representation Learning via Heterogeneous Motif Graph Construction.

Zhaoning Yu, Hongyang Gao

CoRR, 2022

MotifExplainer: a Motif-based Graph Neural Network Explainer.

Zhaoning Yu, Hongyang Gao

CoRR, 2022

Molecular Representation Learning via Heterogeneous Motif Graph Neural Networks.

Zhaoning Yu, Hongyang Gao

Proceedings of the International Conference on Machine Learning, 2022

A global convergence theory for deep ReLU implicit networks via over-parameterization.

Tianxiang Gao, Hailiang Liu, Jia Liu, Hridesh Rajan, Hongyang Gao

Proceedings of the Tenth International Conference on Learning Representations, 2022

2021

ChannelNets: Compact and Efficient Convolutional Neural Networks via Channel-Wise Convolutions.

Hongyang Gao, Zhengyang Wang, Lei Cai, Shuiwang Ji

IEEE Trans. Pattern Anal. Mach. Intell., 2021

Topology-Aware Graph Pooling Networks.

Hongyang Gao, Yi Liu, Shuiwang Ji

IEEE Trans. Pattern Anal. Mach. Intell., 2021

Sent2Matrix: Folding Character Sequences in Serpentine Manifolds for Two-Dimensional Sentence.

Hongyang Gao, Yi Liu, Xuan Zhang, Shuiwang Ji

CoRR, 2021

2020

Pixel Transposed Convolutional Networks.

Hongyang Gao, Hao Yuan, Zhengyang Wang, Shuiwang Ji

IEEE Trans. Pattern Anal. Mach. Intell., 2020

Towards Deeper Graph Neural Networks.

Meng Liu, Hongyang Gao, Shuiwang Ji

Proceedings of the KDD '20: The 26th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2020

Kronecker Attention Networks.

Hongyang Gao, Zhengyang Wang, Shuiwang Ji

Proceedings of the KDD '20: The 26th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2020

A low-power and low-cost battery equalizing circuit topology.

Yang Liu, Daolian Jiang, Kun Li, Changsong Wang, Yongjian Liu, Lei Wang, Peng Wang, Hongyang Gao

Proceedings of the EITCE 2020: 4th International Conference on Electronic Information Technology and Computer Engineering, Xiamen, China, 6 November, 2020, 2020

Design of Wireless Power Transmission System with Double D-coil.

Kun Li, Shijie Zhang, Qing Liu, Junyou Liu, Peng Wang, Hongyang Gao, Heming Wang, Hongzheng Wang

Proceedings of the EITCE 2020: 4th International Conference on Electronic Information Technology and Computer Engineering, Xiamen, China, 6 November, 2020, 2020

Circuit parameter optimization of class E power amplifier for wireless power transmission applications.

Kun Li, Junyou Liu, Shijie Zhang, Yang Liu, Peng Wang, Hongyang Gao

Proceedings of the EITCE 2020: 4th International Conference on Electronic Information Technology and Computer Engineering, Xiamen, China, 6 November, 2020, 2020

Adaptive Convolutional ReLUs.

Hongyang Gao, Lei Cai, Shuiwang Ji

Proceedings of the Thirty-Fourth AAAI Conference on Artificial Intelligence, 2020

2019

Dynamic Multi-Objective Dispatch Considering Wind Power and Electric Vehicles With Probabilistic Characteristics.

Yongsheng Zhu, Hongyang Gao, Junming Xiao, Boyang Qu, Fanbing Zhu, Lu Yang

IEEE Access, 2019

Learning Graph Pooling and Hybrid Convolutional Operations for Text Representations.

Hongyang Gao, Yongjun Chen, Shuiwang Ji

Proceedings of the World Wide Web Conference, 2019

Multi-Stage Variational Auto-Encoders for Coarse-to-Fine Image Generation.

Lei Cai, Hongyang Gao, Shuiwang Ji

Proceedings of the 2019 SIAM International Conference on Data Mining, 2019

Graph Representation Learning via Hard and Channel-Wise Attention Networks.

Hongyang Gao, Shuiwang Ji

Proceedings of the 25th ACM SIGKDD International Conference on Knowledge Discovery & Data Mining, 2019

2018

ChannelNets: Compact and Efficient Convolutional Neural Networks via Channel-Wise Convolutions.

Hongyang Gao, Zhengyang Wang, Shuiwang Ji

Proceedings of the Advances in Neural Information Processing Systems 31: Annual Conference on Neural Information Processing Systems 2018, 2018

Large-Scale Learnable Graph Convolutional Networks.

Hongyang Gao, Zhengyang Wang, Shuiwang Ji

Proceedings of the 24th ACM SIGKDD International Conference on Knowledge Discovery & Data Mining, 2018

Voxel Deconvolutional Networks for 3D Brain Image Labeling.

Yongjun Chen, Hongyang Gao, Lei Cai, Min Shi, Dinggang Shen, Shuiwang Ji

Proceedings of the 24th ACM SIGKDD International Conference on Knowledge Discovery & Data Mining, 2018

Deep Adversarial Learning for Multi-Modality Missing Data Completion.

Lei Cai, Zhengyang Wang, Hongyang Gao, Dinggang Shen, Shuiwang Ji

Proceedings of the 24th ACM SIGKDD International Conference on Knowledge Discovery & Data Mining, 2018

2017

Pixel Deconvolutional Networks.

Hongyang Gao, Hao Yuan, Zhengyang Wang, Shuiwang Ji

CoRR, 2017

Efficient and Invariant Convolutional Neural Networks for Dense Prediction.

Hongyang Gao, Shuiwang Ji

Proceedings of the 2017 IEEE International Conference on Data Mining, 2017