Hongyang Gao - RankMe

57 papers A* 19A 1Journal 33Unranked 4

Year	Rank	Type	Title / Venue / Authors
2025	J	`jnl`	Flow-Matching Based Refiner for Molecular Conformer Generation. CoRR Xiangyang Xu, Hongyang Gao
2025	A*	`conf`	Global Convergence in Neural ODEs: Impact of Activation Functions. ICLR Tianxiang Gao, Siyuan Sun, Hailiang Liu, Hongyang Gao
2025	J	`jnl`	Global Convergence in Neural ODEs: Impact of Activation Functions. CoRR Tianxiang Gao, Siyuan Sun, Hailiang Liu, Hongyang Gao
2025	J	`jnl`	M-GLC: Motif-Driven Global-Local Context Graphs for Few-shot Molecular Property Prediction. CoRR Xiangyang Xu, Hongyang Gao
2025	A*	`conf`	MAGE: Model-Level Graph Neural Networks Explanations via Motif-based Graph Generation. ICLR Zhaoning Yu, Hongyang Gao
2025	J	`jnl`	RESTRAIN: From Spurious Votes to Signals - Self-Driven RL with Self-Penalization. CoRR Zhaoning Yu, Will Su, Leitian Tao, Haozhu Wang, Aashu Singh, Hanchao Yu, Jianyu Wang, Hongyang Gao, Weizhe Yuan, Jason Weston, Ping Yu, Jing Xu
2024	A*	`conf`	Dataflow Analysis-Inspired Deep Learning for Efficient Vulnerability Detection. ICSE Benjamin Steenhoek, Hongyang Gao, Wei Le
2024	J	`jnl`	G2T-LLM: Graph-to-Tree Text Encoding for Molecule Generation with Fine-Tuned Large Language Models. CoRR Zhaoning Yu, Xiangyang Xu, Hongyang Gao
2024	A*	`conf`	Inferring Data Preconditions from Deep Learning Models for Trustworthy Prediction in Deployment. ICSE Shibbir Ahmed, Hongyang Gao, Hridesh Rajan
2024	J	`jnl`	Inferring Data Preconditions from Deep Learning Models for Trustworthy Prediction in Deployment. CoRR Shibbir Ahmed, Hongyang Gao, Hridesh Rajan
2024	J	`jnl`	MAGE: Model-Level Graph Neural Networks Explanations via Motif-based Graph Generation. CoRR Zhaoning Yu, Hongyang Gao
2023	—	`conf`	HSELDA: Heterogeneous Sub-Graph Learning for lncRNA-Disease Associations Prediction. BIBM Tiancheng Zhou, Zachary Glanz, Mei Liu, Jiang Bian, Rui Yin, Hongyang Gao
2023	J	`jnl`	High-Frequency Normalizing Flow for Image Rescaling. IEEE Trans. Image Process. Yiming Zhu, Cairong Wang, Chenyu Dong, Ke Zhang, Hongyang Gao, Chun Yuan
2023	A*	`conf`	Meta-AdaM: An Meta-Learned Adaptive Optimizer with Momentum for Few-Shot Learning. NeurIPS Siyuan Sun, Hongyang Gao
2023	J	`jnl`	MotifPiece: A Data-Driven Approach for Effective Motif Extraction and Molecular Representation Learning. CoRR Zhaoning Yu, Hongyang Gao
2023	A*	`conf`	Wide Neural Networks as Gaussian Processes: Lessons from Deep Equilibrium Models. NeurIPS Tianxiang Gao, Xiaokai Huo, Hailiang Liu, Hongyang Gao
2023	J	`jnl`	Wide Neural Networks as Gaussian Processes: Lessons from Deep Equilibrium Models. CoRR Tianxiang Gao, Xiaokai Huo, Hailiang Liu, Hongyang Gao
2022	A*	`conf`	A global convergence theory for deep ReLU implicit networks via over-parameterization. ICLR Tianxiang Gao, Hailiang Liu, Jia Liu, Hridesh Rajan, Hongyang Gao
2022	J	`jnl`	DeepDFA: Dataflow Analysis-Guided Efficient Graph Learning for Vulnerability Detection. CoRR Benjamin Steenhoek, Wei Le, Hongyang Gao
2022	J	`jnl`	Gradient Descent Optimizes Infinite-Depth ReLU Implicit Networks with Linear Widths. CoRR Tianxiang Gao, Hongyang Gao
2022	J	`jnl`	Graph U-Nets. IEEE Trans. Pattern Anal. Mach. Intell. Hongyang Gao, Shuiwang Ji
2022	J	`jnl`	Molecular Graph Representation Learning via Heterogeneous Motif Graph Construction. CoRR Zhaoning Yu, Hongyang Gao
2022	A*	`conf`	Molecular Representation Learning via Heterogeneous Motif Graph Neural Networks. ICML Zhaoning Yu, Hongyang Gao
2022	J	`jnl`	MotifExplainer: a Motif-based Graph Neural Network Explainer. CoRR Zhaoning Yu, Hongyang Gao
2022	J	`jnl`	On the optimization and generalization of overparameterized implicit neural networks. CoRR Tianxiang Gao, Hongyang Gao
2021	J	`jnl`	A global convergence theory for deep ReLU implicit networks via over-parameterization. CoRR Tianxiang Gao, Hailiang Liu, Jia Liu, Hridesh Rajan, Hongyang Gao
2021	J	`jnl`	ChannelNets: Compact and Efficient Convolutional Neural Networks via Channel-Wise Convolutions. IEEE Trans. Pattern Anal. Mach. Intell. Hongyang Gao, Zhengyang Wang, Lei Cai, Shuiwang Ji
2021	J	`jnl`	Sent2Matrix: Folding Character Sequences in Serpentine Manifolds for Two-Dimensional Sentence. CoRR Hongyang Gao, Yi Liu, Xuan Zhang, Shuiwang Ji
2021	J	`jnl`	Topology-Aware Graph Pooling Networks. IEEE Trans. Pattern Anal. Mach. Intell. Hongyang Gao, Yi Liu, Shuiwang Ji
2020	—	`conf`	A low-power and low-cost battery equalizing circuit topology. EITCE Yang Liu, Daolian Jiang, Kun Li, Changsong Wang, Yongjian Liu, Lei Wang, Peng Wang, Hongyang Gao
2020	A*	`conf`	Adaptive Convolutional ReLUs. AAAI Hongyang Gao, Lei Cai, Shuiwang Ji
2020	—	`conf`	Circuit parameter optimization of class E power amplifier for wireless power transmission applications. EITCE Kun Li, Junyou Liu, Shijie Zhang, Yang Liu, Peng Wang, Hongyang Gao
2020	—	`conf`	Design of Wireless Power Transmission System with Double D-coil. EITCE Kun Li, Shijie Zhang, Qing Liu, Junyou Liu, Peng Wang, Hongyang Gao, Heming Wang, Hongzheng Wang
2020	A*	`conf`	Kronecker Attention Networks. KDD Hongyang Gao, Zhengyang Wang, Shuiwang Ji
2020	J	`jnl`	Kronecker Attention Networks. CoRR Hongyang Gao, Zhengyang Wang, Shuiwang Ji
2020	J	`jnl`	Pixel Transposed Convolutional Networks. IEEE Trans. Pattern Anal. Mach. Intell. Hongyang Gao, Hao Yuan, Zhengyang Wang, Shuiwang Ji
2020	J	`jnl`	Topology-Aware Graph Pooling Networks. CoRR Hongyang Gao, Yi Liu, Shuiwang Ji
2020	A*	`conf`	Towards Deeper Graph Neural Networks. KDD Meng Liu, Hongyang Gao, Shuiwang Ji
2020	J	`jnl`	Towards Deeper Graph Neural Networks. CoRR Meng Liu, Hongyang Gao, Shuiwang Ji
2019	J	`jnl`	Dynamic Multi-Objective Dispatch Considering Wind Power and Electric Vehicles With Probabilistic Characteristics. IEEE Access Yongsheng Zhu, Hongyang Gao, Junming Xiao, Boyang Qu, Fanbing Zhu, Lu Yang
2019	A*	`conf`	Graph Representation Learning via Hard and Channel-Wise Attention Networks. KDD Hongyang Gao, Shuiwang Ji
2019	J	`jnl`	Graph Representation Learning via Hard and Channel-Wise Attention Networks. CoRR Hongyang Gao, Shuiwang Ji
2019	A*	`conf`	Graph U-Nets. ICML Hongyang Gao, Shuiwang Ji
2019	J	`jnl`	Graph U-Nets. CoRR Hongyang Gao, Shuiwang Ji
2019	A*	`conf`	Learning Graph Pooling and Hybrid Convolutional Operations for Text Representations. WWW Hongyang Gao, Yongjun Chen, Shuiwang Ji
2019	J	`jnl`	Learning Graph Pooling and Hybrid Convolutional Operations for Text Representations. CoRR Hongyang Gao, Yongjun Chen, Shuiwang Ji
2019	A	`conf`	Multi-Stage Variational Auto-Encoders for Coarse-to-Fine Image Generation. SDM Lei Cai, Hongyang Gao, Shuiwang Ji
2018	A*	`conf`	ChannelNets: Compact and Efficient Convolutional Neural Networks via Channel-Wise Convolutions. NeurIPS Hongyang Gao, Zhengyang Wang, Shuiwang Ji
2018	J	`jnl`	ChannelNets: Compact and Efficient Convolutional Neural Networks via Channel-Wise Convolutions. CoRR Hongyang Gao, Zhengyang Wang, Shuiwang Ji
2018	A*	`conf`	Deep Adversarial Learning for Multi-Modality Missing Data Completion. KDD Lei Cai, Zhengyang Wang, Hongyang Gao, Dinggang Shen, Shuiwang Ji
2018	A*	`conf`	Large-Scale Learnable Graph Convolutional Networks. KDD Hongyang Gao, Zhengyang Wang, Shuiwang Ji
2018	J	`jnl`	Large-Scale Learnable Graph Convolutional Networks. CoRR Hongyang Gao, Zhengyang Wang, Shuiwang Ji
2018	A*	`conf`	Voxel Deconvolutional Networks for 3D Brain Image Labeling. KDD Yongjun Chen, Hongyang Gao, Lei Cai, Min Shi, Dinggang Shen, Shuiwang Ji
2017	A*	`conf`	Efficient and Invariant Convolutional Neural Networks for Dense Prediction. ICDM Hongyang Gao, Shuiwang Ji
2017	J	`jnl`	Efficient and Invariant Convolutional Neural Networks for Dense Prediction. CoRR Hongyang Gao, Shuiwang Ji
2017	J	`jnl`	Multi-Stage Variational Auto-Encoders for Coarse-to-Fine Image Generation. CoRR Lei Cai, Hongyang Gao, Shuiwang Ji
2017	J	`jnl`	Pixel Deconvolutional Networks. CoRR Hongyang Gao, Hao Yuan, Zhengyang Wang, Shuiwang Ji