Li Sun

Orcid: 0000-0003-4562-2279

Affiliations:

Beijing University of Posts and Telecommunications, State Key Laboratory of Networking and Switching Technology, Beijing, China
North China Electric Power University, School of Control and Computer Engineering, Beijing, China
Beijing University of Posts and Telecommunications, State Key Laboratory of Networking and Switching Technology, China (former, PhD)

According to our database¹, Li Sun authored at least 86 papers between 2017 and 2026.

Collaborative distances:

Dijkstra number² of four.
Erdős number³ of four.

Timeline

Legend:

Book In proceedings Article PhD thesis Dataset Other

Bibliography

2026

A Riemannian perspective on graph foundation models: curvature as a guiding principle.

[BibT_eX]

[DOI]

Li Sun

Philip S. Yu

Frontiers Comput. Sci., December, 2026

ASIL: Augmented Structural Information Learning for Deep Graph Clustering in Hyperbolic Space.

[BibT_eX]

[DOI]

IEEE Trans. Pattern Anal. Mach. Intell., June, 2026

Representing Tuple in Graph with Trail Structure.

[BibT_eX]

[DOI]

ACM Trans. Knowl. Discov. Data, April, 2026

LIVE: Learnable Monotonic Vertex Embedding for Efficient Exact Subgraph Matching (Technical Report).

[BibT_eX]

[DOI]

CoRR, April, 2026

Learning to Edit Knowledge via Instruction-based Chain-of-Thought Prompting.

[BibT_eX]

[DOI]

CoRR, April, 2026

Riemannian Geometry Speaks Louder Than Words: From Graph Foundation Model to Next-Generation Graph Intelligence.

[BibT_eX]

[DOI]

Philip S. Yu

Li Sun

CoRR, March, 2026

LARFT: Closing the Cognition-Action Gap for Length Instruction Following in Large Language Models.

[BibT_eX]

[DOI]

CoRR, March, 2026

Resource Consumption Threats in Large Language Models.

[BibT_eX]

[DOI]

CoRR, March, 2026

Multi-Domain Riemannian Graph Gluing for Building Graph Foundation Models.

[BibT_eX]

[DOI]

CoRR, March, 2026

Heterophily-Agnostic Hypergraph Neural Networks with Riemannian Local Exchanger.

[BibT_eX]

[DOI]

CoRR, March, 2026

RiemannGL: Riemannian Geometry Changes Graph Deep Learning.

[BibT_eX]

[DOI]

CoRR, February, 2026

From Helpfulness to Toxic Proactivity: Diagnosing Behavioral Misalignment in LLM Agents.

[BibT_eX]

[DOI]

CoRR, February, 2026

The Necessity of a Unified Framework for LLM-Based Agent Evaluation.

[BibT_eX]

[DOI]

CoRR, February, 2026

RSA-Bench: Benchmarking Audio Large Models in Real-World Acoustic Scenarios.

[BibT_eX]

[DOI]

CoRR, January, 2026

SEE: Signal Embedding Energy for Quantifying Noise Interference in Large Audio Language Models.

[BibT_eX]

[DOI]

CoRR, January, 2026

ChronosAudio: A Comprehensive Long-Audio Benchmark for Evaluating Audio-Large Language Models.

[BibT_eX]

[DOI]

CoRR, January, 2026

HearSay Benchmark: Do Audio LLMs Leak What They Hear?

[BibT_eX]

[DOI]

CoRR, January, 2026

RoLED: Role-disentangled graph neural network for both homophily and heterophily.

[BibT_eX]

[DOI]

Neurocomputing, 2026

Riemannian Graph Tokenizer for Structural Knowledge Transfer.

[BibT_eX]

[DOI]

Proceedings of the ACM Web Conference 2026, 2026

SLFM: Semi-Supervised Local Community Detection Based on Hyperbolic Flow Matching.

[BibT_eX]

[DOI]

Proceedings of the ACM Web Conference 2026, 2026

Heterophily-Agnostic Hypergraph Neural Networks with Riemannian Local Exchanger.

[BibT_eX]

[DOI]

Proceedings of the ACM Web Conference 2026, 2026

Effective and Unsupervised Social Event Detection and Evolution via RAG and Structural Entropy.

[BibT_eX]

[DOI]

Proceedings of the ACM Web Conference 2026, 2026

The Devil Within, The Cure Without: Securing Locally Private Graph Learning under Poisoning.

[BibT_eX]

[DOI]

Proceedings of the ACM Web Conference 2026, 2026

Towards Multifaceted Graph Condensation in Discrete Realm.

[BibT_eX]

[DOI]

Proceedings of the Nineteenth ACM International Conference on Web Search and Data Mining, 2026

Label-Free Contrastive Learning for Open-World Multimodal Social Event Detection.

[BibT_eX]

[DOI]

Proceedings of the Nineteenth ACM International Conference on Web Search and Data Mining, 2026

Devil's Hand: Data Poisoning Attacks to Locally Private Graph Learning Protocols.

[BibT_eX]

[DOI]

Proceedings of the 32nd ACM SIGKDD Conference on Knowledge Discovery and Data Mining V.1, 2026

Hyperbolic Continuous Structural Entropy for Hierarchical Clustering.

[BibT_eX]

[DOI]

Proceedings of the Fortieth AAAI Conference on Artificial Intelligence, 2026

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

[BibT_eX]

[DOI]

Proceedings of the Fortieth AAAI Conference on Artificial Intelligence, 2026

RPGen: Robust and Differentially Private Synthetic Image Generation.

[BibT_eX]

[DOI]

Proceedings of the Fortieth AAAI Conference on Artificial Intelligence, 2026

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

[BibT_eX]

[DOI]

Proceedings of the Fortieth AAAI Conference on Artificial Intelligence, 2026

2025

LeechHijack: Covert Computational Resource Exploitation in Intelligent Agent Systems.

[BibT_eX]

[DOI]

CoRR, December, 2025

Deeper with Riemannian Geometry: Overcoming Oversmoothing and Oversquashing for Graph Foundation Models.

[BibT_eX]

[DOI]

CoRR, October, 2025

Collaborative Shadows: Distributed Backdoor Attacks in LLM-Based Multi-Agent Systems.

[BibT_eX]

[DOI]

CoRR, October, 2025

MoSE: Unveiling Structural Patterns in Graphs via Mixture of Subgraph Experts.

[BibT_eX]

[DOI]

CoRR, September, 2025

LIFEBench: Evaluating Length Instruction Following in Large Language Models.

[BibT_eX]

[DOI]

CoRR, May, 2025

IsoSEL: Isometric Structural Entropy Learning for Deep Graph Clustering in Hyperbolic Space.

[BibT_eX]

[DOI]

CoRR, April, 2025

CLEAR: Cluster-based Prompt Learning on Heterogeneous Graphs.

[BibT_eX]

[DOI]

CoRR, February, 2025

Relational Prompt-Based Pre-Trained Language Models for Social Event Detection.

[BibT_eX]

[DOI]

ACM Trans. Inf. Syst., January, 2025

PromptSED: An evolving topic-enhanced prompting framework for incremental social event detection.

[BibT_eX]

[DOI]

Neural Networks, 2025

RiemannGFM: Learning a Graph Foundation Model from Riemannian Geometry.

[BibT_eX]

[DOI]

Proceedings of the ACM on Web Conference 2025, 2025

CLEAR: Cluster-Based Prompt Learning on Heterogeneous Graphs.

[BibT_eX]

[DOI]

Proceedings of the Advances in Knowledge Discovery and Data Mining, 2025

Unsupervised Graph Clustering with Deep Structural Entropy.

[BibT_eX]

[DOI]

Proceedings of the 31st ACM SIGKDD Conference on Knowledge Discovery and Data Mining, V.2, 2025

Trace: Structural Riemannian Bridge Matching for Transferable Source Localization in Information Propagation.

[BibT_eX]

[DOI]

Proceedings of the Thirty-Fourth International Joint Conference on Artificial Intelligence, 2025

Hyperbolic Prompt Learning for Incremental Event Detection with LLMs.

[BibT_eX]

[DOI]

Proceedings of the 34th ACM International Conference on Information and Knowledge Management, 2025

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

[BibT_eX]

[DOI]

Proceedings of the Thirty-Ninth AAAI Conference on Artificial Intelligence, 2025

Structural Entropy Guided Probabilistic Coding.

[BibT_eX]

[DOI]

Proceedings of the Thirty-Ninth AAAI Conference on Artificial Intelligence, 2025

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

[BibT_eX]

[DOI]

Proceedings of the Thirty-Ninth AAAI Conference on Artificial Intelligence, 2025

2024

Rcoco: contrastive collective link prediction across multiplex network in Riemannian space.

[BibT_eX]

[DOI]

Int. J. Mach. Learn. Cybern., September, 2024

Contrastive sequential interaction network learning on co-evolving Riemannian spaces.

[BibT_eX]

[DOI]

Int. J. Mach. Learn. Cybern., April, 2024

RicciNet: Deep Clustering via A Riemannian Generative Model.

[BibT_eX]

[DOI]

Proceedings of the ACM on Web Conference 2024, 2024

R-ODE: Ricci Curvature Tells When You Will be Informed.

[BibT_eX]

[DOI]

Proceedings of the 47th International ACM SIGIR Conference on Research and Development in Information Retrieval, 2024

Spiking Graph Neural Network on Riemannian Manifolds.

[BibT_eX]

[DOI]

Proceedings of the Advances in Neural Information Processing Systems 37: Annual Conference on Neural Information Processing Systems 2024, 2024

LSEnet: Lorentz Structural Entropy Neural Network for Deep Graph Clustering.

[BibT_eX]

[DOI]

Proceedings of the Forty-first International Conference on Machine Learning, 2024

DAMe: Personalized Federated Social Event Detection with Dual Aggregation Mechanism.

[BibT_eX]

[DOI]

Proceedings of the 33rd ACM International Conference on Information and Knowledge Management, 2024

Adaptive Differentially Private Structural Entropy Minimization for Unsupervised Social Event Detection.

[BibT_eX]

[DOI]

Proceedings of the 33rd ACM International Conference on Information and Knowledge Management, 2024

A Mixed-Curvature Graph Diffusion Model.

[BibT_eX]

[DOI]

Proceedings of the 33rd ACM International Conference on Information and Knowledge Management, 2024

Table-Filling via Mean Teacher for Cross-domain Aspect Sentiment Triplet Extraction.

[BibT_eX]

[DOI]

Proceedings of the 33rd ACM International Conference on Information and Knowledge Management, 2024

Multivariate Time-Series Anomaly Detection based on Enhancing Graph Attention Networks with Topological Analysis.

[BibT_eX]

[DOI]

Proceedings of the 33rd ACM International Conference on Information and Knowledge Management, 2024

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

[BibT_eX]

[DOI]

Proceedings of the Thirty-Eighth AAAI Conference on Artificial Intelligence, 2024

2023

MINING: Multi-Granularity Network Alignment Based on Contrastive Learning.

[BibT_eX]

[DOI]

IEEE Trans. Knowl. Data Eng., December, 2023

A survey of graph neural network based recommendation in social networks.

[BibT_eX]

[DOI]

Neurocomputing, September, 2023

GroupAligner: A Deep Reinforcement Learning with Domain Adaptation for Social Group Alignment.

[BibT_eX]

[DOI]

ACM Trans. Web, August, 2023

When Behavior Analysis Meets Social Network Alignment.

[BibT_eX]

[DOI]

IEEE Trans. Knowl. Data Eng., July, 2023

Aligning Dynamic Social Networks: An Optimization Over Dynamic Graph Autoencoder.

[BibT_eX]

[DOI]

IEEE Trans. Knowl. Data Eng., June, 2023

Contrastive Graph Clustering in Curvature Spaces.

[BibT_eX]

[DOI]

CoRR, 2023

SINCERE: Sequential Interaction Networks representation learning on Co-Evolving RiEmannian manifolds.

[BibT_eX]

[DOI]

Proceedings of the ACM Web Conference 2023, 2023

CONGREGATE: Contrastive Graph Clustering in Curvature Spaces.

[BibT_eX]

[DOI]

Proceedings of the Thirty-Second International Joint Conference on Artificial Intelligence, 2023

DeepRicci: Self-supervised Graph Structure-Feature Co-Refinement for Alleviating Over-squashing.

[BibT_eX]

[DOI]

Proceedings of the IEEE International Conference on Data Mining, 2023

Self-Supervised Continual Graph Learning in Adaptive Riemannian Spaces.

[BibT_eX]

[DOI]

Proceedings of the Thirty-Seventh AAAI Conference on Artificial Intelligence, 2023

2022

DiriE: Knowledge Graph Embedding with Dirichlet Distribution.

[BibT_eX]

[DOI]

Proceedings of the WWW '22: The ACM Web Conference 2022, Virtual Event, Lyon, France, April 25, 2022

A Self-supervised Riemannian GNN with Time Varying Curvature for Temporal Graph Learning.

[BibT_eX]

[DOI]

Proceedings of the 31st ACM International Conference on Information & Knowledge Management, 2022

A Self-Supervised Mixed-Curvature Graph Neural Network.

[BibT_eX]

[DOI]

Proceedings of the Thirty-Sixth AAAI Conference on Artificial Intelligence, 2022

2021

Reconciling Multiple Social Networks Effectively and Efficiently: An Embedding Approach.

[BibT_eX]

[DOI]

IEEE Trans. Knowl. Data Eng., 2021

Inductive and irregular dynamic network representation based on ordinary differential equations.

[BibT_eX]

[DOI]

Knowl. Based Syst., 2021

Hyperbolic Variational Graph Neural Network for Modeling Dynamic Graphs.

[BibT_eX]

[DOI]

Proceedings of the Thirty-Fifth AAAI Conference on Artificial Intelligence, 2021

2020

Fair-Aware Competitive Event Influence Maximization in Social Networks.

[BibT_eX]

[DOI]

IEEE Trans. Netw. Sci. Eng., 2020

Graph-Bert: Only Attention is Needed for Learning Graph Representations.

[BibT_eX]

[DOI]

CoRR, 2020

BANANA: when Behavior ANAlysis meets social Network Alignment.

[BibT_eX]

[DOI]

Proceedings of the Twenty-Ninth International Joint Conference on Artificial Intelligence, 2020

Perfect: A Hyperbolic Embedding for Joint User and Community Alignment.

[BibT_eX]

[DOI]

Proceedings of the 20th IEEE International Conference on Data Mining, 2020

Hyperbolic User Identity Linkage across Social Networks.

[BibT_eX]

[DOI]

Feiyang Wang

Li Sun

Zhongbao Zhang

Proceedings of the IEEE Global Communications Conference, 2020

Enhancing Graph Neural Network-based Fraud Detectors against Camouflaged Fraudsters.

[BibT_eX]

[DOI]

Proceedings of the CIKM '20: The 29th ACM International Conference on Information and Knowledge Management, 2020

2019

DeepBlue: Bi-layered LSTM for tweet popUlarity Estimation.

[BibT_eX]

[DOI]

Proceedings of the 2019 IEEE International Conference on Big Data (IEEE BigData), 2019

DNA: Dynamic Social Network Alignment.

[BibT_eX]

[DOI]

Proceedings of the 2019 IEEE International Conference on Big Data (IEEE BigData), 2019

MC<sup>2</sup>: Unsupervised Multiple Social Network Alignment.

[BibT_eX]

[DOI]

Proceedings of the 2019 IEEE International Conference on Big Data (IEEE BigData), 2019

2018

MASTER: across Multiple social networks, integrate Attribute and STructure Embedding for Reconciliation.

[BibT_eX]

[DOI]

Proceedings of the Twenty-Seventh International Joint Conference on Artificial Intelligence, 2018

2017

Efficient incremental dynamic link prediction algorithms in social network.

[BibT_eX]

[DOI]

Knowl. Based Syst., 2017

Li Sun

Timeline

Legend:

Links

Online presence:

On csauthors.net:

Bibliography

Loading...