Hao Peng

24

Papers

164

Total Citations

Papers (24)

KoLA: Carefully Benchmarking World Knowledge of Large Language Models

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

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

Poincaré Differential Privacy for Hierarchy-Aware Graph Embedding

Prompt-based Unifying Inference Attack on Graph Neural Networks

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

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

Structural Entropy Guided Probabilistic Coding

Data Engineering for Scaling Language Models to 128K Context

Structural Information-based Hierarchical Diffusion for Offline Reinforcement Learning

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

Adversarial Socialbots Modeling Based on Structural Information Principles

AMD: Autoregressive Motion Diffusion

ReGCL: Rethinking Message Passing in Graph Contrastive Learning

Hyperbolic Geometric Latent Diffusion Model for Graph Generation

LSEnet: Lorentz Structural Entropy Neural Network for Deep Graph Clustering

Executable Code Actions Elicit Better LLM Agents

Kalman Filtering Attention for User Behavior Modeling in CTR Prediction

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

BOND: Benchmarking Unsupervised Outlier Node Detection on Static Attributed Graphs

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

FedFed: Feature Distillation against Data Heterogeneity in Federated Learning

A Convolutional Attention Network for Extreme Summarization of Source Code

Asynchronous Distributed Variational Gaussian Process for Regression