Hao Peng

papers

1,143

total citations

papers (23)

Executable Code Actions Elicit Better LLM Agents

ICML 2024arXiv

344

citations

Data Engineering for Scaling Language Models to 128K Context

ICML 2024arXiv

186

citations

BOND: Benchmarking Unsupervised Outlier Node Detection on Static Attributed Graphs

NEURIPS 2022arXiv

138

citations

Motif-Aware Riemannian Graph Neural Network with Generative-Contrastive Learning

AAAI 2024arXiv

citations

Kalman Filtering Attention for User Behavior Modeling in CTR Prediction

NEURIPS 2020arXiv

citations

Adversarial Socialbots Modeling Based on Structural Information Principles

AAAI 2024arXiv

citations

Hyperbolic Geometric Latent Diffusion Model for Graph Generation

ICML 2024arXiv

citations

LSEnet: Lorentz Structural Entropy Neural Network for Deep Graph Clustering

ICML 2024arXiv

citations

ReGCL: Rethinking Message Passing in Graph Contrastive Learning

AAAI 2024

citations

Poincaré Differential Privacy for Hierarchy-Aware Graph Embedding

AAAI 2024arXiv

citations

Prompt-based Unifying Inference Attack on Graph Neural Networks

AAAI 2025arXiv

citations

IGL-Bench: Establishing the Comprehensive Benchmark for Imbalanced Graph Learning

ICLR 2025arXiv

citations

Towards Effective, Efficient and Unsupervised Social Event Detection in the Hyperbolic Space

AAAI 2025arXiv

citations

Pioneer: Physics-informed Riemannian Graph ODE for Entropy-increasing Dynamics

AAAI 2025arXiv

citations

Structural Entropy Guided Probabilistic Coding

AAAI 2025arXiv

citations

Dual-discriminative Graph Neural Network for Imbalanced Graph-level Anomaly Detection

NEURIPS 2022

citations

IOP: An Idempotent-Like Optimization Method on the Pareto Front of Hypernetwork

AAAI 2025

citations

Structural Information-based Hierarchical Diffusion for Offline Reinforcement Learning

NEURIPS 2025arXiv

citations

Hao Peng

papers (23)

Executable Code Actions Elicit Better LLM Agents

Data Engineering for Scaling Language Models to 128K Context

BOND: Benchmarking Unsupervised Outlier Node Detection on Static Attributed Graphs

FedFed: Feature Distillation against Data Heterogeneity in Federated Learning

KoLA: Carefully Benchmarking World Knowledge of Large Language Models

Environment-Aware Dynamic Graph Learning for Out-of-Distribution Generalization

AMD: Autoregressive Motion Diffusion

M&M VTO: Multi-Garment Virtual Try-On and Editing

Motif-Aware Riemannian Graph Neural Network with Generative-Contrastive Learning

Kalman Filtering Attention for User Behavior Modeling in CTR Prediction

Adversarial Socialbots Modeling Based on Structural Information Principles

Hyperbolic Geometric Latent Diffusion Model for Graph Generation

LSEnet: Lorentz Structural Entropy Neural Network for Deep Graph Clustering

ReGCL: Rethinking Message Passing in Graph Contrastive Learning

Poincaré Differential Privacy for Hierarchy-Aware Graph Embedding

Prompt-based Unifying Inference Attack on Graph Neural Networks

IGL-Bench: Establishing the Comprehensive Benchmark for Imbalanced Graph Learning

Towards Effective, Efficient and Unsupervised Social Event Detection in the Hyperbolic Space

Pioneer: Physics-informed Riemannian Graph ODE for Entropy-increasing Dynamics

Structural Entropy Guided Probabilistic Coding

Dual-discriminative Graph Neural Network for Imbalanced Graph-level Anomaly Detection

IOP: An Idempotent-Like Optimization Method on the Pareto Front of Hypernetwork

Structural Information-based Hierarchical Diffusion for Offline Reinforcement Learning

papers (23)

Executable Code Actions Elicit Better LLM Agents

Data Engineering for Scaling Language Models to 128K Context

BOND: Benchmarking Unsupervised Outlier Node Detection on Static Attributed Graphs

FedFed: Feature Distillation against Data Heterogeneity in Federated Learning

KoLA: Carefully Benchmarking World Knowledge of Large Language Models

Environment-Aware Dynamic Graph Learning for Out-of-Distribution Generalization

AMD: Autoregressive Motion Diffusion

M&M VTO: Multi-Garment Virtual Try-On and Editing

Motif-Aware Riemannian Graph Neural Network with Generative-Contrastive Learning

Kalman Filtering Attention for User Behavior Modeling in CTR Prediction

Adversarial Socialbots Modeling Based on Structural Information Principles

Hyperbolic Geometric Latent Diffusion Model for Graph Generation

LSEnet: Lorentz Structural Entropy Neural Network for Deep Graph Clustering

ReGCL: Rethinking Message Passing in Graph Contrastive Learning

Poincaré Differential Privacy for Hierarchy-Aware Graph Embedding

Prompt-based Unifying Inference Attack on Graph Neural Networks

IGL-Bench: Establishing the Comprehensive Benchmark for Imbalanced Graph Learning

Towards Effective, Efficient and Unsupervised Social Event Detection in the Hyperbolic Space

Pioneer: Physics-informed Riemannian Graph ODE for Entropy-increasing Dynamics

Structural Entropy Guided Probabilistic Coding

Dual-discriminative Graph Neural Network for Imbalanced Graph-level Anomaly Detection

IOP: An Idempotent-Like Optimization Method on the Pareto Front of Hypernetwork

Structural Information-based Hierarchical Diffusion for Offline Reinforcement Learning