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Hao Peng

136 papers · 2015–2026 · 14 venues · across top CS/AI venues

This profile combines several different researchers. Authors are keyed by name, and this name's papers fall into 18 separate collaboration groups - the largest holds only 43% of them. Pick the group below that matches the researcher you mean. How a shared name is split.

Achievements are not shown for a combined profile - each one describes a single researcher's record, which this is not.

Which Hao Peng?

7 groups of papers that share co-authors internally but none with each other - each most likely a different researcher. Pick one to see its papers.

with Philip S. Yu, Jianxin Li, Li Sun 59 papers · 2018–2026 · AAAI, IJCAI, NeurIPS Hide ▲
ARGUS: Defending Against Multimodal Indirect Prompt Injection via Steering Instruction-Following Behavior CVPR 2026 Activation-Guided Local Editing for Jailbreaking Attacks ACL 2026 FedRG: Unleashing the Representation Geometry for Federated Learning with Noisy Clients CVPR 2026 Hyperbolic Continuous Structural Entropy for Hierarchical Clustering AAAI 2026 Learning to Explore: Policy-Guided Outlier Synthesis for Graph Out-of-Distribution Detection AAAI 2026 MixKVQ: Query-Aware Mixed-Precision KV Cache Quantization for Long-Context Reasoning ACL 2026 RPGen: Robust and Differentially Private Synthetic Image Generation AAAI 2026 SeSE: Black-Box Uncertainty Quantification for Large Language Models Based on Structural Information Theory UAI 2026 Structural Entropy Guided Incremental Learning for Open-World Multimodal Social Event Detection AAAI 2026 A Survey of Structural Entropy: Theory, Methods, and Applications IJCAI 2025 Emotion Transfer with Enhanced Prototype for Unseen Emotion Recognition in Conversation EMNLP 2025 Hierarchical Decision Making Based on Structural Information Principles JMLR 2025 IGL-Bench: Establishing the Comprehensive Benchmark for Imbalanced Graph Learning ICLR 2025 Multi-View Incongruity Learning for Multimodal Sarcasm Detection COLING 2025 Pioneer: Physics-informed Riemannian Graph ODE for Entropy-increasing Dynamics AAAI 2025 Prompt-based Unifying Inference Attack on Graph Neural Networks AAAI 2025 SEA: Low-Resource Safety Alignment for Multimodal Large Language Models via Synthetic Embeddings ACL 2025 STAMImputer: Spatio-Temporal Attention MoE for Traffic Data Imputation IJCAI 2025 SetKE: Knowledge Editing for Knowledge Elements Overlap IJCAI 2025 Structural Entropy Guided Probabilistic Coding AAAI 2025 T-T: Table Transformer for Tagging-based Aspect Sentiment Triplet Extraction IJCAI 2025 Towards Effective, Efficient and Unsupervised Social Event Detection in the Hyperbolic Space AAAI 2025 AMD: Autoregressive Motion Diffusion AAAI 2024 Adversarial Socialbots Modeling Based on Structural Information Principles AAAI 2024 Effective Exploration Based on the Structural Information Principles NeurIPS 2024 GC-Bench: An Open and Unified Benchmark for Graph Condensation NeurIPS 2024 Hierarchical and Incremental Structural Entropy Minimization for Unsupervised Social Event Detection AAAI 2024 Hyperbolic Geometric Latent Diffusion Model for Graph Generation ICML 2024 LSEnet: Lorentz Structural Entropy Neural Network for Deep Graph Clustering ICML 2024 Motif-Aware Riemannian Graph Neural Network with Generative-Contrastive Learning AAAI 2024 Multi-Relational Structural Entropy UAI 2024 Neeko: Leveraging Dynamic LoRA for Efficient Multi-Character Role-Playing Agent EMNLP 2024 Poincaré Differential Privacy for Hierarchy-Aware Graph Embedding AAAI 2024 PyGOD: A Python Library for Graph Outlier Detection JMLR 2024 ReGCL: Rethinking Message Passing in Graph Contrastive Learning AAAI 2024 Spiking Graph Neural Network on Riemannian Manifolds NeurIPS 2024 CONGREGATE: Contrastive Graph Clustering in Curvature Spaces IJCAI 2023 Effective and Stable Role-Based Multi-Agent Collaboration by Structural Information Principles AAAI 2023 Environment-Aware Dynamic Graph Learning for Out-of-Distribution Generalization NeurIPS 2023 FedFed: Feature Distillation against Data Heterogeneity in Federated Learning NeurIPS 2023 Hierarchical State Abstraction based on Structural Information Principles IJCAI 2023 Self-Organization Preserved Graph Structure Learning with Principle of Relevant Information AAAI 2023 Self-Supervised Continual Graph Learning in Adaptive Riemannian Spaces AAAI 2023 A Self-Supervised Mixed-Curvature Graph Neural Network AAAI 2022 BOND: Benchmarking Unsupervised Outlier Node Detection on Static Attributed Graphs NeurIPS 2022 Dual-discriminative Graph Neural Network for Imbalanced Graph-level Anomaly Detection NeurIPS 2022 Graph Structure Learning with Variational Information Bottleneck AAAI 2022 XLTime: A Cross-Lingual Knowledge Transfer Framework for Temporal Expression Extraction NAACL 2022 Adversarial Directed Graph Embedding AAAI 2021 Graph Entropy Guided Node Embedding Dimension Selection for Graph Neural Networks IJCAI 2021 HTCInfoMax: A Global Model for Hierarchical Text Classification via Information Maximization NAACL 2021 Hyperbolic Variational Graph Neural Network for Modeling Dynamic Graphs AAAI 2021 KG-BART: Knowledge Graph-Augmented BART for Generative Commonsense Reasoning AAAI 2021 TextGTL: Graph-based Transductive Learning for Semi-supervised Text Classification via Structure-Sensitive Interpolation IJCAI 2021 Hierarchical Bi-Directional Self-Attention Networks for Paper Review Rating Recommendation COLING 2020 Motif-Matching Based Subgraph-Level Attentional Convolutional Network for Graph Classification AAAI 2020 Aspect-Based Sentiment Classification with Attentive Neural Turing Machines IJCAI 2019 Fine-grained Event Categorization with Heterogeneous Graph Convolutional Networks IJCAI 2019 Time-evolving Text Classification with Deep Neural Networks IJCAI 2018
11 papers whose co-authors appear nowhere else under this name