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.
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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
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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
Tackling Distractor Documents in Multi-Hop QA with Reinforcement and Curriculum Learning
EACL 2026
FACTCHECKMATE: Preemptively Detecting and Mitigating Hallucinations in LMs
EMNLP 2025
Improving Influence-based Instruction Tuning Data Selection for Balanced Learning of Diverse Capabilities
EMNLP 2025
Low-Light Video Enhancement via Spatial-Temporal Consistent Decomposition
IJCAI 2025
M&M VTO: Multi-Garment Virtual Try-On and Editing
CVPR 2024
TRAM: Bridging Trust Regions and Sharpness Aware Minimization
ICLR 2024
Tailor: Generating and Perturbing Text with Semantic Controls
ACL 2022
Kalman Filtering Attention for User Behavior Modeling in CTR Prediction
NeurIPS 2020
Text Generation with Exemplar-based Adaptive Decoding
NAACL 2019
A Convolutional Attention Network for Extreme Summarization of Source Code
ICML 2016
News Citation Recommendation with Implicit and Explicit Semantics
ACL 2016