Cheng Yang

Orcid: 0000-0001-7821-0030

Affiliations:

Beijing University of Posts and Telecommunications, China
Tsinghua University, State Key Laboratory of Intelligent Technology and Systems, Beijing, China (PhD 2019)

According to our database¹, Cheng Yang authored at least 135 papers between 2014 and 2025.

Collaborative distances:

Dijkstra number² of three.
Erdős number³ of four.

Timeline

Legend:

Book

In proceedings

Article

PhD thesis

Dataset

Other

Bibliography

2025

Efficient Multi-task Prompt Tuning for Recommendation.

[BibT_eX]

[DOI]

ACM Trans. Inf. Syst., July, 2025

Graph Foundation Models: Concepts, Opportunities and Challenges.

[BibT_eX]

[DOI]

IEEE Trans. Pattern Anal. Mach. Intell., June, 2025

GraphLAMA: Enabling Efficient Adaptation of Graph Language Models with Limited Annotations.

[BibT_eX]

[DOI]

CoRR, June, 2025

Cross-Task Experiential Learning on LLM-based Multi-Agent Collaboration.

[BibT_eX]

[DOI]

CoRR, May, 2025

EULER: Enhancing the Reasoning Ability of Large Language Models through Error-Induced Learning.

[BibT_eX]

[DOI]

CoRR, May, 2025

Co-Saving: Resource Aware Multi-Agent Collaboration for Software Development.

[BibT_eX]

[DOI]

CoRR, May, 2025

Multi-Agent Collaboration via Evolving Orchestration.

[BibT_eX]

[DOI]

CoRR, May, 2025

Tool Learning with Foundation Models.

[BibT_eX]

[DOI]

ACM Comput. Surv., April, 2025

Data-Centric Graph Learning: A Survey.

[BibT_eX]

[DOI]

IEEE Trans. Big Data, February, 2025

PathRAG: Pruning Graph-based Retrieval Augmented Generation with Relational Paths.

[BibT_eX]

[DOI]

CoRR, February, 2025

Graph Foundation Models for Recommendation: A Comprehensive Survey.

[BibT_eX]

[DOI]

CoRR, February, 2025

A Survey on the Honesty of Large Language Models.

[BibT_eX]

[DOI]

Trans. Mach. Learn. Res., 2025

Invariant debiasing learning for recommendation via biased imputation.

[BibT_eX]

[DOI]

Inf. Process. Manag., 2025

Unknown web attack threat detection based on large language model.

[BibT_eX]

[DOI]

Appl. Soft Comput., 2025

CORONA: A Coarse-to-Fine Framework for Graph-based Recommendation with Large Language Models.

[BibT_eX]

[DOI]

Proceedings of the 48th International ACM SIGIR Conference on Research and Development in Information Retrieval, 2025

Seq1F1B: Efficient Sequence-Level Pipeline Parallelism for Large Language Model Training.

[BibT_eX]

[DOI]

Proceedings of the 2025 Conference of the Nations of the Americas Chapter of the Association for Computational Linguistics: Human Language Technologies, 2025

Can Large Language Models Improve the Adversarial Robustness of Graph Neural Networks?

[BibT_eX]

[DOI]

Proceedings of the 31st ACM SIGKDD Conference on Knowledge Discovery and Data Mining, V.1, 2025

Scaling Large Language Model-based Multi-Agent Collaboration.

[BibT_eX]

[DOI]

Proceedings of the Thirteenth International Conference on Learning Representations, 2025

Internet of Agents: Weaving a Web of Heterogeneous Agents for Collaborative Intelligence.

[BibT_eX]

[DOI]

Proceedings of the Thirteenth International Conference on Learning Representations, 2025

ChartMimic: Evaluating LMM's Cross-Modal Reasoning Capability via Chart-to-Code Generation.

[BibT_eX]

[DOI]

Proceedings of the Thirteenth International Conference on Learning Representations, 2025

Judge as A Judge: Improving the Evaluation of Retrieval-Augmented Generation through the Judge-Consistency of Large Language Models.

[BibT_eX]

[DOI]

Proceedings of the Findings of the Association for Computational Linguistics, 2025

Optima: Optimizing Effectiveness and Efficiency for LLM-Based Multi-Agent System.

[BibT_eX]

[DOI]

Proceedings of the Findings of the Association for Computational Linguistics, 2025

Blend the Separated: Mixture of Synergistic Experts for Data-Scarcity Drug-Target Interaction Prediction.

[BibT_eX]

[DOI]

Proceedings of the AAAI-25, Sponsored by the Association for the Advancement of Artificial Intelligence, February 25, 2025

Harnessing Language Model for Cross-Heterogeneity Graph Knowledge Transfer.

[BibT_eX]

[DOI]

Proceedings of the AAAI-25, Sponsored by the Association for the Advancement of Artificial Intelligence, February 25, 2025

Federated Graph Condensation with Information Bottleneck Principles.

[BibT_eX]

[DOI]

Proceedings of the AAAI-25, Sponsored by the Association for the Advancement of Artificial Intelligence, February 25, 2025

2024

Graph foundation model.

[BibT_eX]

[DOI]

Frontiers Comput. Sci., December, 2024

Group-to-group recommendation with neural graph matching.

[BibT_eX]

[DOI]

World Wide Web (WWW), March, 2024

Distance Information Improves Heterogeneous Graph Neural Networks.

[BibT_eX]

[DOI]

IEEE Trans. Knowl. Data Eng., March, 2024

Graph Mining for Cybersecurity: A Survey.

[BibT_eX]

[DOI]

ACM Trans. Knowl. Discov. Data, February, 2024

Non-autoregressive personalized bundle generation.

[BibT_eX]

[DOI]

Inf. Process. Manag., 2024

LLM2: Let Large Language Models Harness System 2 Reasoning.

[BibT_eX]

[DOI]

CoRR, 2024

Large Language Models Can Self-Improve in Long-context Reasoning.

[BibT_eX]

[DOI]

CoRR, 2024

GraphTeam: Facilitating Large Language Model-based Graph Analysis via Multi-Agent Collaboration.

[BibT_eX]

[DOI]

CoRR, 2024

Multi-Agent Software Development through Cross-Team Collaboration.

[BibT_eX]

[DOI]

CoRR, 2024

Scaling Large-Language-Model-based Multi-Agent Collaboration.

[BibT_eX]

[DOI]

CoRR, 2024

Iterative Experience Refinement of Software-Developing Agents.

[BibT_eX]

[DOI]

CoRR, 2024

BurstAttention: An Efficient Distributed Attention Framework for Extremely Long Sequences.

[BibT_eX]

[DOI]

CoRR, 2024

Adaptive negative representations for graph contrastive learning.

[BibT_eX]

[DOI]

Qi Zhang

Cheng Yang

Chuan Shi

AI Open, 2024

Endowing Pre-trained Graph Models with Provable Fairness.

[BibT_eX]

[DOI]

Proceedings of the ACM on Web Conference 2024, 2024

GraphTranslator: Aligning Graph Model to Large Language Model for Open-ended Tasks.

[BibT_eX]

[DOI]

Proceedings of the ACM on Web Conference 2024, 2024

Calibrating Graph Neural Networks from a Data-centric Perspective.

[BibT_eX]

[DOI]

Proceedings of the ACM on Web Conference 2024, 2024

Lecture-style Tutorial: Towards Graph Foundation Models.

[BibT_eX]

[DOI]

Proceedings of the Companion Proceedings of the ACM on Web Conference 2024, 2024

Adaptively Denoising Graph Neural Networks for Knowledge Distillation.

[BibT_eX]

[DOI]

Proceedings of the Machine Learning and Knowledge Discovery in Databases. Research Track and Demo Track, 2024

Unchosen Experts Can Contribute Too: Unleashing MoE Models' Power by Self-Contrast.

[BibT_eX]

[DOI]

Proceedings of the Advances in Neural Information Processing Systems 38: Annual Conference on Neural Information Processing Systems 2024, 2024

Autonomous Agents for Collaborative Task under Information Asymmetry.

[BibT_eX]

[DOI]

Proceedings of the Advances in Neural Information Processing Systems 38: Annual Conference on Neural Information Processing Systems 2024, 2024

Can Large Language Models Analyze Graphs like Professionals? A Benchmark, Datasets and Models.

[BibT_eX]

[DOI]

Proceedings of the Advances in Neural Information Processing Systems 38: Annual Conference on Neural Information Processing Systems 2024, 2024

Advancing Molecule Invariant Representation via Privileged Substructure Identification.

[BibT_eX]

[DOI]

Proceedings of the 30th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2024

Heterogeneous Graph Transformer with Poly-Tokenization.

[BibT_eX]

[DOI]

Proceedings of the Thirty-Third International Joint Conference on Artificial Intelligence, 2024

AgentVerse: Facilitating Multi-Agent Collaboration and Exploring Emergent Behaviors.

[BibT_eX]

[DOI]

Proceedings of the Twelfth International Conference on Learning Representations, 2024

Beyond Natural Language: LLMs Leveraging Alternative Formats for Enhanced Reasoning and Communication.

[BibT_eX]

[DOI]

Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2024, 2024

ChatDev: Communicative Agents for Software Development.

[BibT_eX]

[DOI]

Proceedings of the 62nd Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2024

Experiential Co-Learning of Software-Developing Agents.

[BibT_eX]

[DOI]

Proceedings of the 62nd Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2024

FairSIN: Achieving Fairness in Graph Neural Networks through Sensitive Information Neutralization.

[BibT_eX]

[DOI]

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

Graph Invariant Learning with Subgraph Co-mixup for Out-of-Distribution Generalization.

[BibT_eX]

[DOI]

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

2023

Full-Scale Information Diffusion Prediction With Reinforced Recurrent Networks.

[BibT_eX]

[DOI]

IEEE Trans. Neural Networks Learn. Syst., May, 2023

Advances in Graph Neural Networks

[BibT_eX]

[DOI]

Chuan Shi

Xiao Wang

Cheng Yang

Synthesis Lectures on Data Mining and Knowledge Discovery, Springer, ISBN: 978-3-031-16174-2, 2023

Experiential Co-Learning of Software-Developing Agents.

[BibT_eX]

[DOI]

CoRR, 2023

Data-centric Graph Learning: A Survey.

[BibT_eX]

[DOI]

CoRR, 2023

AgentVerse: Facilitating Multi-Agent Collaboration and Exploring Emergent Behaviors in Agents.

[BibT_eX]

[DOI]

CoRR, 2023

Communicative Agents for Software Development.

[BibT_eX]

[DOI]

CoRR, 2023

Interactive Molecular Discovery with Natural Language.

[BibT_eX]

[DOI]

CoRR, 2023

Tool Learning with Foundation Models.

[BibT_eX]

[DOI]

CoRR, 2023

A Post-Training Framework for Improving Heterogeneous Graph Neural Networks.

[BibT_eX]

[DOI]

Proceedings of the ACM Web Conference 2023, 2023

Learning to Distill Graph Neural Networks.

[BibT_eX]

[DOI]

Proceedings of the Sixteenth ACM International Conference on Web Search and Data Mining, 2023

Knowledge-Adaptive Contrastive Learning for Recommendation.

[BibT_eX]

[DOI]

Proceedings of the Sixteenth ACM International Conference on Web Search and Data Mining, 2023

GammaGL: A Multi-Backend Library for Graph Neural Networks.

[BibT_eX]

[DOI]

Proceedings of the 46th International ACM SIGIR Conference on Research and Development in Information Retrieval, 2023

Abnormal Event Detection via Hypergraph Contrastive Learning.

[BibT_eX]

[DOI]

Proceedings of the 2023 SIAM International Conference on Data Mining, 2023

Injecting Multimodal Information into Rigid Protein Docking via Bi-level Optimization.

[BibT_eX]

[DOI]

Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

A Data-centric Framework to Endow Graph Neural Networks with Out-Of-Distribution Detection Ability.

[BibT_eX]

[DOI]

Proceedings of the 29th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2023

Specialist or Generalist? Instruction Tuning for Specific NLP Tasks.

[BibT_eX]

[DOI]

Proceedings of the 2023 Conference on Empirical Methods in Natural Language Processing, 2023

Enhancing Dialogue Generation with Conversational Concept Flows.

[BibT_eX]

[DOI]

Proceedings of the Findings of the Association for Computational Linguistics: EACL 2023, 2023

Memory-Enhanced Period-Aware Graph Neural Network for General POI Recommendation.

[BibT_eX]

[DOI]

Proceedings of the Database Systems for Advanced Applications, 2023

Datasets and Interfaces for Benchmarking Heterogeneous Graph Neural Networks.

[BibT_eX]

[DOI]

Proceedings of the 32nd ACM International Conference on Information and Knowledge Management, 2023

AutoConv: Automatically Generating Information-seeking Conversations with Large Language Models.

[BibT_eX]

[DOI]

Proceedings of the 61st Annual Meeting of the Association for Computational Linguistics (Volume 2: Short Papers), 2023

NewsDialogues: Towards Proactive News Grounded Conversation.

[BibT_eX]

[DOI]

Proceedings of the Findings of the Association for Computational Linguistics: ACL 2023, 2023

MA-GCL: Model Augmentation Tricks for Graph Contrastive Learning.

[BibT_eX]

[DOI]

Xumeng Gong

Cheng Yang

Chuan Shi

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

2022

A survey on heterogeneous information network based recommender systems: Concepts, methods, applications and resources.

[BibT_eX]

[DOI]

AI Open, January, 2022

Payment behavior prediction on shared parking lots with TR-GCN.

[BibT_eX]

[DOI]

VLDB J., 2022

MiDTD: A Simple and Effective Distillation Framework for Distantly Supervised Relation Extraction.

[BibT_eX]

[DOI]

ACM Trans. Inf. Syst., 2022

COSINE: Compressive Network Embedding on Large-Scale Information Networks.

[BibT_eX]

[DOI]

IEEE Trans. Knowl. Data Eng., 2022

Periodic Weather-Aware LSTM With Event Mechanism for Parking Behavior Prediction.

[BibT_eX]

[DOI]

IEEE Trans. Knowl. Data Eng., 2022

Hypergraph Clustering Network for Interaction Data.

[BibT_eX]

[DOI]

IEEE Data Eng. Bull., 2022

xTrimoABFold: De novo Antibody Structure Prediction without MSA.

[BibT_eX]

[DOI]

CoRR, 2022

Few-shot Link Prediction in Dynamic Networks.

[BibT_eX]

[DOI]

Proceedings of the WSDM '22: The Fifteenth ACM International Conference on Web Search and Data Mining, Virtual Event / Tempe, AZ, USA, February 21, 2022

Space4HGNN: A Novel, Modularized and Reproducible Platform to Evaluate Heterogeneous Graph Neural Network.

[BibT_eX]

[DOI]

Proceedings of the SIGIR '22: The 45th International ACM SIGIR Conference on Research and Development in Information Retrieval, Madrid, Spain, July 11, 2022

Co-clustering Interactions via Attentive Hypergraph Neural Network.

[BibT_eX]

[DOI]

Proceedings of the SIGIR '22: The 45th International ACM SIGIR Conference on Research and Development in Information Retrieval, Madrid, Spain, July 11, 2022

A Dual-Expert Framework for Event Argument Extraction.

[BibT_eX]

[DOI]

Proceedings of the SIGIR '22: The 45th International ACM SIGIR Conference on Research and Development in Information Retrieval, Madrid, Spain, July 11, 2022

Gated Hypergraph Neural Network for Scene-Aware Recommendation.

[BibT_eX]

[DOI]

Proceedings of the Database Systems for Advanced Applications, 2022

OpenHGNN: An Open Source Toolkit for Heterogeneous Graph Neural Network.

[BibT_eX]

[DOI]

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

2021

Network Embedding: Theories, Methods, and Applications

[BibT_eX]

[DOI]

Synthesis Lectures on Artificial Intelligence and Machine Learning, Morgan & Claypool Publishers, ISBN: 978-3-031-01590-8, 2021

Neural Diffusion Model for Microscopic Cascade Study.

[BibT_eX]

[DOI]

IEEE Trans. Knowl. Data Eng., 2021

CED: Credible Early Detection of Social Media Rumors.

[BibT_eX]

[DOI]

IEEE Trans. Knowl. Data Eng., 2021

From Symbols to Embeddings: A Tale of Two Representations in Computational Social Science.

[BibT_eX]

[DOI]

J. Soc. Comput., 2021

Text-Graph Enhanced Knowledge Graph Representation Learning.

[BibT_eX]

[DOI]

Frontiers Artif. Intell., 2021

Evaluating Modules in Graph Contrastive Learning.

[BibT_eX]

[DOI]

CoRR, 2021

Extract the Knowledge of Graph Neural Networks and Go Beyond it: An Effective Knowledge Distillation Framework.

[BibT_eX]

[DOI]

Cheng Yang

Jiawei Liu

Chuan Shi

Proceedings of the WWW '21: The Web Conference 2021, 2021

Package Recommendation with Intra- and Inter-Package Attention Networks.

[BibT_eX]

[DOI]

Proceedings of the SIGIR '21: The 44th International ACM SIGIR Conference on Research and Development in Information Retrieval, 2021

Semantic-Specific Hierarchical Alignment Network for Heterogeneous Graph Adaptation.

[BibT_eX]

[DOI]

Proceedings of the Machine Learning and Knowledge Discovery in Databases. Research Track, 2021

Tree-Capsule: Tree-Structured Capsule Network for Improving Relation Extraction.

[BibT_eX]

[DOI]

Proceedings of the Advances in Knowledge Discovery and Data Mining, 2021

Be Confident! Towards Trustworthy Graph Neural Networks via Confidence Calibration.

[BibT_eX]

[DOI]

Proceedings of the Advances in Neural Information Processing Systems 34: Annual Conference on Neural Information Processing Systems 2021, 2021

Heterogeneous Graph Neural Network with Distance Encoding.

[BibT_eX]

[DOI]

Proceedings of the IEEE International Conference on Data Mining, 2021

Treasures Outside Contexts: Improving Event Detection via Global Statistics.

[BibT_eX]

[DOI]

Proceedings of the 2021 Conference on Empirical Methods in Natural Language Processing, 2021

Topic-aware Heterogeneous Graph Neural Network for Link Prediction.

[BibT_eX]

[DOI]

Proceedings of the CIKM '21: The 30th ACM International Conference on Information and Knowledge Management, Virtual Event, Queensland, Australia, November 1, 2021

Neural Information Diffusion Prediction with Topic-Aware Attention Network.

[BibT_eX]

[DOI]

Hao Wang

Cheng Yang

Chuan Shi

Proceedings of the CIKM '21: The 30th ACM International Conference on Information and Knowledge Management, Virtual Event, Queensland, Australia, November 1, 2021

KACC: A Multi-task Benchmark for Knowledge Abstraction, Concretization and Completion.

[BibT_eX]

[DOI]

Proceedings of the Findings of the Association for Computational Linguistics: ACL/IJCNLP 2021, 2021

2020

Representation Learning in Wireless Multimedia Communications.

[BibT_eX]

[DOI]

IEEE Wirel. Commun., 2020

Improving Sequence Modeling Ability of Recurrent Neural Networks via Sememes.

[BibT_eX]

[DOI]

IEEE ACM Trans. Audio Speech Lang. Process., 2020

Reinforced Zero-Shot Cross-Lingual Neural Headline Generation.

[BibT_eX]

[DOI]

IEEE ACM Trans. Audio Speech Lang. Process., 2020

Graph neural news recommendation with long-term and short-term interest modeling.

[BibT_eX]

[DOI]

Inf. Process. Manag., 2020

KACC: A Multi-task Benchmark for Knowledge Abstraction, Concretization and Completion.

[BibT_eX]

[DOI]

CoRR, 2020

Graph neural networks: A review of methods and applications.

[BibT_eX]

[DOI]

AI Open, 2020

Adaptive Graph Encoder for Attributed Graph Embedding.

[BibT_eX]

[DOI]

Proceedings of the KDD '20: The 26th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2020

PewLSTM: Periodic LSTM with Weather-Aware Gating Mechanism for Parking Behavior Prediction.

[BibT_eX]

[DOI]

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

Graph Neural News Recommendation with Unsupervised Preference Disentanglement.

[BibT_eX]

[DOI]

Proceedings of the 58th Annual Meeting of the Association for Computational Linguistics, 2020

MixPoet: Diverse Poetry Generation via Learning Controllable Mixed Latent Space.

[BibT_eX]

[DOI]

Proceedings of the Thirty-Fourth AAAI Conference on Artificial Intelligence, 2020

2019

Enhancing Recurrent Neural Networks with Sememes.

[BibT_eX]

[DOI]

CoRR, 2019

Content-aware Deep Perceptual Image Compression.

[BibT_eX]

[DOI]

Proceedings of the 11th International Conference on Wireless Communications and Signal Processing, 2019

Multi-scale Information Diffusion Prediction with Reinforced Recurrent Networks.

[BibT_eX]

[DOI]

Proceedings of the Twenty-Eighth International Joint Conference on Artificial Intelligence, 2019

Sentiment-Controllable Chinese Poetry Generation.

[BibT_eX]

[DOI]

Proceedings of the Twenty-Eighth International Joint Conference on Artificial Intelligence, 2019

Improving Distantly-Supervised Relation Extraction with Joint Label Embedding.

[BibT_eX]

[DOI]

Proceedings of the 2019 Conference on Empirical Methods in Natural Language Processing and the 9th International Joint Conference on Natural Language Processing, 2019

GEAR: Graph-based Evidence Aggregating and Reasoning for Fact Verification.

[BibT_eX]

[DOI]

Proceedings of the 57th Conference of the Association for Computational Linguistics, 2019

Jiuge: A Human-Machine Collaborative Chinese Classical Poetry Generation System.