Hao Peng

130 papers · 2015–2026 · 15 conferences · across top CS/AI conferences

Achievements

🗺️ Taxonomy Completionist (20) 🧭 Keyword Pioneer 🐝 Cross-Pollinator (11) 🐣 Hot Topic Early Bird 🏃 Academic Marathon (10) 🌈 Renaissance Researcher (5) 🌉 Interdisciplinary Bridge 🌍 Conference Polyglot (14) 🏠 Conference Loyalist (20) 🤝 Dynamic Duo (22) 👑 Triple Crown 🏆 Keyword Champion (2) 🏆 Grand Slam 👥 Mega-Team (35) 🔬 Deep Specialist (21) 📈 Trend Setter 🚀 Conference Pioneer 🔥 Unstoppable (11) ❓ The Questioner (2) 💎 Century Club (123) 🗃️ Keyword Collector (51) ⚡ Prolific Year (31)

Conferences

AAAI (26) EMNLP (25) IJCAI (15) ACL (14) ICLR (14) NIPS (9) ICML (8) NAACL (8) COLING (3) IJCNLP (2) JMLR (2) AACL (1) CVPR (1) EACL (1) UAI (1)

Top co-authors

Philip S. Yu (24) Jianxin Li (16) Noah A. Smith (15) Li Sun (14) Juanzi Li (14) Lei Hou (13) Xiaozhi Wang (11) Roy Schwartz (10) Qingyun Sun (9) Angsheng Li (9)

Research topics

Differential Privacy (1) Privacy (1)

Keywords

graph neural network (23) large language model (15) representation learning (12) attention mechanism (8) structural entropy (7) reinforcement learning (5) contrastive learning (5) language model (5) relation extraction (4) information extraction (4) neural network (4) node classification (4) information theory (4) dynamic graph (4) unsupervised learning (4) hierarchical clustering (4) neural architecture (4) self-supervised learning (4) event detection (4) sentiment analysis (3)

Papers

Hyperbolic Continuous Structural Entropy for Hierarchical Clustering AAAI 2026

Learning to Explore: Policy-Guided Outlier Synthesis for Graph Out-of-Distribution Detection AAAI 2026

Structural Entropy Guided Incremental Learning for Open-World Multimodal Social Event Detection AAAI 2026

RPGen: Robust and Differentially Private Synthetic Image Generation AAAI 2026

Do Not Merge My Model! Safeguarding Open-Source LLMs Against Unauthorized Model Merging AAAI 2026

Tackling Distractor Documents in Multi-Hop QA with Reinforcement and Curriculum Learning EACL 2026

RAGFort: Dual-Path Defense Against Proprietary Knowledge Base Extraction in Retrieval-Augmented Generation AAAI 2026

MMD-ERE: Multi-Agent Multi-Sided Debate for Event Relation Extraction COLING 2025

A Survey of Structural Entropy: Theory, Methods, and Applications IJCAI 2025

Context Length Alone Hurts LLM Performance Despite Perfect Retrieval EMNLP 2025

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

VerIF: Verification Engineering for Reinforcement Learning in Instruction Following EMNLP 2025

Emotion Transfer with Enhanced Prototype for Unseen Emotion Recognition in Conversation EMNLP 2025

SetKE: Knowledge Editing for Knowledge Elements Overlap IJCAI 2025

T-T: Table Transformer for Tagging-based Aspect Sentiment Triplet Extraction IJCAI 2025

Scalable Multi-Stage Influence Function for Large Language Models via Eigenvalue-Corrected Kronecker-Factored Parameterization IJCAI 2025

STAMImputer: Spatio-Temporal Attention MoE for Traffic Data Imputation IJCAI 2025

Pioneer: Physics-informed Riemannian Graph ODE for Entropy-increasing Dynamics AAAI 2025

Prompt-based Unifying Inference Attack on Graph Neural Networks AAAI 2025

Towards Effective, Efficient and Unsupervised Social Event Detection in the Hyperbolic Space AAAI 2025

Structural Entropy Guided Probabilistic Coding AAAI 2025

IOP: An Idempotent-Like Optimization Method on the Pareto Front of Hypernetwork AAAI 2025

Low-Light Video Enhancement via Spatial-Temporal Consistent Decomposition IJCAI 2025

Free Process Rewards without Process Labels ICML 2025

Retrieval Head Mechanistically Explains Long-Context Factuality ICLR 2025

IGL-Bench: Establishing the Comprehensive Benchmark for Imbalanced Graph Learning ICLR 2025

OpenHands: An Open Platform for AI Software Developers as Generalist Agents ICLR 2025

Scaling Diffusion Language Models via Adaptation from Autoregressive Models ICLR 2025

Eliminating Position Bias of Language Models: A Mechanistic Approach ICLR 2025

Advancing LLM Reasoning Generalists with Preference Trees ICLR 2025

Pre-training Distillation for Large Language Models: A Design Space Exploration ACL 2025

Hierarchical Decision Making Based on Structural Information Principles JMLR 2025

LongBench v2: Towards Deeper Understanding and Reasoning on Realistic Long-context Multitasks ACL 2025

Agentic Reward Modeling: Integrating Human Preferences with Verifiable Correctness Signals for Reliable Reward Systems ACL 2025

SEA: Low-Resource Safety Alignment for Multimodal Large Language Models via Synthetic Embeddings ACL 2025

Probing the Geometry of Truth: Consistency and Generalization of Truth Directions in LLMs Across Logical Transformations and Question Answering Tasks ACL 2025

A Little Goes a Long Way: Efficient Long Context Training and Inference with Partial Contexts ICLR 2025

Multi-View Incongruity Learning for Multimodal Sarcasm Detection COLING 2025

Neeko: Leveraging Dynamic LoRA for Efficient Multi-Character Role-Playing Agent EMNLP 2024

SciCode: A Research Coding Benchmark Curated by Scientists NIPS 2024

Spiking Graph Neural Network on Riemannian Manifolds NIPS 2024

GC-Bench: An Open and Unified Benchmark for Graph Condensation NIPS 2024

Effective Exploration Based on the Structural Information Principles NIPS 2024

Adversarial Socialbots Modeling Based on Structural Information Principles AAAI 2024

AMD: Autoregressive Motion Diffusion AAAI 2024

Hierarchical and Incremental Structural Entropy Minimization for Unsupervised Social Event Detection AAAI 2024

ReGCL: Rethinking Message Passing in Graph Contrastive Learning AAAI 2024

Motif-Aware Riemannian Graph Neural Network with Generative-Contrastive Learning AAAI 2024

Poincaré Differential Privacy for Hierarchy-Aware Graph Embedding AAAI 2024

MAVEN-ARG: Completing the Puzzle of All-in-One Event Understanding Dataset with Event Argument Annotation ACL 2024

ActionIE: Action Extraction from Scientific Literature with Programming Languages ACL 2024

M&M VTO: Multi-Garment Virtual Try-On and Editing CVPR 2024

ADELIE: Aligning Large Language Models on Information Extraction EMNLP 2024

Measuring and Improving Attentiveness to Partial Inputs with Counterfactuals EMNLP 2024

MAVEN-FACT: A Large-scale Event Factuality Detection Dataset EMNLP 2024

KoLA: Carefully Benchmarking World Knowledge of Large Language Models ICLR 2024

TRAM: Bridging Trust Regions and Sharpness Aware Minimization ICLR 2024

CRAFT: Customizing LLMs by Creating and Retrieving from Specialized Toolsets ICLR 2024

MINT: Evaluating LLMs in Multi-turn Interaction with Tools and Language Feedback ICLR 2024

Hyperbolic Geometric Latent Diffusion Model for Graph Generation ICML 2024

Data Engineering for Scaling Language Models to 128K Context ICML 2024

LSEnet: Lorentz Structural Entropy Neural Network for Deep Graph Clustering ICML 2024

Executable Code Actions Elicit Better LLM Agents ICML 2024

Dynamicity-aware Social Bot Detection with Dynamic Graph Transformers IJCAI 2024

PyGOD: A Python Library for Graph Outlier Detection JMLR 2024

Language Models Hallucinate, but May Excel at Fact Verification NAACL 2024

LM-Infinite: Zero-Shot Extreme Length Generalization for Large Language Models NAACL 2024

LETI: Learning to Generate from Textual Interactions NAACL 2024

Multi-Relational Structural Entropy UAI 2024

Self-Organization Preserved Graph Structure Learning with Principle of Relevant Information AAAI 2023

OmniEvent: A Comprehensive, Fair, and Easy-to-Use Toolkit for Event Understanding EMNLP 2023

CONGREGATE: Contrastive Graph Clustering in Curvature Spaces IJCAI 2023

Hierarchical State Abstraction based on Structural Information Principles IJCAI 2023

FedFed: Feature Distillation against Data Heterogeneity in Federated Learning NIPS 2023

Effective and Stable Role-Based Multi-Agent Collaboration by Structural Information Principles AAAI 2023

Specializing Smaller Language Models towards Multi-Step Reasoning ICML 2023

Environment-Aware Dynamic Graph Learning for Out-of-Distribution Generalization NIPS 2023

The Devil is in the Details: On the Pitfalls of Event Extraction Evaluation ACL 2023

Self-Supervised Continual Graph Learning in Adaptive Riemannian Spaces AAAI 2023

Complexity-Based Prompting for Multi-step Reasoning ICLR 2023

BOND: Benchmarking Unsupervised Outlier Node Detection on Static Attributed Graphs NIPS 2022

Dual-discriminative Graph Neural Network for Imbalanced Graph-level Anomaly Detection NIPS 2022

ABC: Attention with Bounded-memory Control ACL 2022

MAVEN-ERE: A Unified Large-scale Dataset for Event Coreference, Temporal, Causal, and Subevent Relation Extraction EMNLP 2022

A Self-Supervised Mixed-Curvature Graph Neural Network AAAI 2022

Graph Structure Learning with Variational Information Bottleneck AAAI 2022

XLTime: A Cross-Lingual Knowledge Transfer Framework for Temporal Expression Extraction NAACL 2022

Twist Decoding: Diverse Generators Guide Each Other EMNLP 2022

Tailor: Generating and Perturbing Text with Semantic Controls ACL 2022

Information Extraction and Human-Robot Dialogue towards Real-life Tasks A Baseline Study with the MobileCS Dataset EMNLP 2022

Modeling Context With Linear Attention for Scalable Document-Level Translation EMNLP 2022

How Much Does Attention Actually Attend? Questioning the Importance of Attention in Pretrained Transformers EMNLP 2022

COPEN: Probing Conceptual Knowledge in Pre-trained Language Models EMNLP 2022

Hyperbolic Variational Graph Neural Network for Modeling Dynamic Graphs AAAI 2021

Random Feature Attention ICLR 2021

HTCInfoMax: A Global Model for Hierarchical Text Classification via Information Maximization NAACL 2021

Contextualized Perturbation for Textual Adversarial Attack NAACL 2021

KG-BART: Knowledge Graph-Augmented BART for Generative Commonsense Reasoning AAAI 2021

Adversarial Directed Graph Embedding AAAI 2021

Finetuning Pretrained Transformers into RNNs EMNLP 2021

TextGTL: Graph-based Transductive Learning for Semi-supervised Text Classification via Structure-Sensitive Interpolation IJCAI 2021

Graph Entropy Guided Node Embedding Dimension Selection for Graph Neural Networks IJCAI 2021

Deep Encoder, Shallow Decoder: Reevaluating Non-autoregressive Machine Translation ICLR 2021

Learning from Context or Names? An Empirical Study on Neural Relation Extraction EMNLP 2020

Hierarchical Bi-Directional Self-Attention Networks for Paper Review Rating Recommendation COLING 2020

A Mixture of h - 1 Heads is Better than h Heads ACL 2020

More Data, More Relations, More Context and More Openness: A Review and Outlook for Relation Extraction AACL 2020

Motif-Matching Based Subgraph-Level Attentional Convolutional Network for Graph Classification AAAI 2020

Kalman Filtering Attention for User Behavior Modeling in CTR Prediction NIPS 2020

RNN Architecture Learning with Sparse Regularization IJCNLP 2019

PaLM: A Hybrid Parser and Language Model IJCNLP 2019

RNN Architecture Learning with Sparse Regularization EMNLP 2019

PaLM: A Hybrid Parser and Language Model EMNLP 2019

Text Generation with Exemplar-based Adaptive Decoding NAACL 2019

Aspect-Based Sentiment Classification with Attentive Neural Turing Machines IJCAI 2019

Fine-grained Event Categorization with Heterogeneous Graph Convolutional Networks IJCAI 2019

Learning Joint Semantic Parsers from Disjoint Data NAACL 2018

Backpropagating through Structured Argmax using a SPIGOT ACL 2018

Rational Recurrences EMNLP 2018

Time-evolving Text Classification with Deep Neural Networks IJCAI 2018

Deep Multitask Learning for Semantic Dependency Parsing ACL 2017

Semi-supervised Structured Prediction with Neural CRF Autoencoder EMNLP 2017

Asynchronous Distributed Variational Gaussian Process for Regression ICML 2017

A Convolutional Attention Network for Extreme Summarization of Source Code ICML 2016

News Citation Recommendation with Implicit and Explicit Semantics ACL 2016

Classifying Relations via Long Short Term Memory Networks along Shortest Dependency Paths EMNLP 2015

EigenGP: Gaussian Process Models with Adaptive Eigenfunctions IJCAI 2015

A Comparative Study on Regularization Strategies for Embedding-based Neural Networks EMNLP 2015

Discriminative Neural Sentence Modeling by Tree-Based Convolution EMNLP 2015