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 111 papers between 2014 and 2024.

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Bibliography

2024
Group-to-group recommendation with neural graph matching.
World Wide Web (WWW), March, 2024

Distance Information Improves Heterogeneous Graph Neural Networks.
IEEE Trans. Knowl. Data Eng., March, 2024

Graph Mining for Cybersecurity: A Survey.
ACM Trans. Knowl. Discov. Data, February, 2024

Non-autoregressive personalized bundle generation.
Inf. Process. Manag., 2024

Optima: Optimizing Effectiveness and Efficiency for LLM-Based Multi-Agent System.
CoRR, 2024

Can Large Language Models Analyze Graphs like Professionals? A Benchmark, Datasets and Models.
CoRR, 2024

A Survey on the Honesty of Large Language Models.
CoRR, 2024

Internet of Agents: Weaving a Web of Heterogeneous Agents for Collaborative Intelligence.
CoRR, 2024

Autonomous Agents for Collaborative Task under Information Asymmetry.
CoRR, 2024

ChartMimic: Evaluating LMM's Cross-Modal Reasoning Capability via Chart-to-Code Generation.
CoRR, 2024

Multi-Agent Software Development through Cross-Team Collaboration.
CoRR, 2024

Scaling Large-Language-Model-based Multi-Agent Collaboration.
CoRR, 2024

Seq1F1B: Efficient Sequence-Level Pipeline Parallelism for Large Language Model Training.
CoRR, 2024

Unchosen Experts Can Contribute Too: Unleashing MoE Models' Power by Self-Contrast.
CoRR, 2024

Iterative Experience Refinement of Software-Developing Agents.
CoRR, 2024

BurstAttention: An Efficient Distributed Attention Framework for Extremely Long Sequences.
CoRR, 2024

Adaptive negative representations for graph contrastive learning.
AI Open, 2024

Endowing Pre-trained Graph Models with Provable Fairness.
Proceedings of the ACM on Web Conference 2024, 2024

GraphTranslator: Aligning Graph Model to Large Language Model for Open-ended Tasks.
Proceedings of the ACM on Web Conference 2024, 2024

Calibrating Graph Neural Networks from a Data-centric Perspective.
Proceedings of the ACM on Web Conference 2024, 2024

Lecture-style Tutorial: Towards Graph Foundation Models.
Proceedings of the Companion Proceedings of the ACM on Web Conference 2024, 2024

Adaptively Denoising Graph Neural Networks for Knowledge Distillation.
Proceedings of the Machine Learning and Knowledge Discovery in Databases. Research Track and Demo Track, 2024

Advancing Molecule Invariant Representation via Privileged Substructure Identification.
Proceedings of the 30th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2024

Heterogeneous Graph Transformer with Poly-Tokenization.
Proceedings of the Thirty-Third International Joint Conference on Artificial Intelligence, 2024

AgentVerse: Facilitating Multi-Agent Collaboration and Exploring Emergent Behaviors.
Proceedings of the Twelfth International Conference on Learning Representations, 2024

Beyond Natural Language: LLMs Leveraging Alternative Formats for Enhanced Reasoning and Communication.
Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2024, 2024

ChatDev: Communicative Agents for Software Development.
Proceedings of the 62nd Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2024

Experiential Co-Learning of Software-Developing Agents.
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.
Proceedings of the Thirty-Eighth AAAI Conference on Artificial Intelligence, 2024

Graph Invariant Learning with Subgraph Co-mixup for Out-of-Distribution Generalization.
Proceedings of the Thirty-Eighth AAAI Conference on Artificial Intelligence, 2024

2023
Full-Scale Information Diffusion Prediction With Reinforced Recurrent Networks.
IEEE Trans. Neural Networks Learn. Syst., May, 2023

Advances in Graph Neural Networks
Synthesis Lectures on Data Mining and Knowledge Discovery, Springer, ISBN: 978-3-031-16174-2, 2023

Experiential Co-Learning of Software-Developing Agents.
CoRR, 2023

Data-centric Graph Learning: A Survey.
CoRR, 2023

AgentVerse: Facilitating Multi-Agent Collaboration and Exploring Emergent Behaviors in Agents.
CoRR, 2023

Communicative Agents for Software Development.
CoRR, 2023

Interactive Molecular Discovery with Natural Language.
CoRR, 2023

Tool Learning with Foundation Models.
CoRR, 2023

A Post-Training Framework for Improving Heterogeneous Graph Neural Networks.
Proceedings of the ACM Web Conference 2023, 2023

Learning to Distill Graph Neural Networks.
Proceedings of the Sixteenth ACM International Conference on Web Search and Data Mining, 2023

Knowledge-Adaptive Contrastive Learning for Recommendation.
Proceedings of the Sixteenth ACM International Conference on Web Search and Data Mining, 2023

GammaGL: A Multi-Backend Library for Graph Neural Networks.
Proceedings of the 46th International ACM SIGIR Conference on Research and Development in Information Retrieval, 2023

Abnormal Event Detection via Hypergraph Contrastive Learning.
Proceedings of the 2023 SIAM International Conference on Data Mining, 2023

Injecting Multimodal Information into Rigid Protein Docking via Bi-level Optimization.
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.
Proceedings of the 29th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2023

Specialist or Generalist? Instruction Tuning for Specific NLP Tasks.
Proceedings of the 2023 Conference on Empirical Methods in Natural Language Processing, 2023

Enhancing Dialogue Generation with Conversational Concept Flows.
Proceedings of the Findings of the Association for Computational Linguistics: EACL 2023, 2023

Memory-Enhanced Period-Aware Graph Neural Network for General POI Recommendation.
Proceedings of the Database Systems for Advanced Applications, 2023

Datasets and Interfaces for Benchmarking Heterogeneous Graph Neural Networks.
Proceedings of the 32nd ACM International Conference on Information and Knowledge Management, 2023

AutoConv: Automatically Generating Information-seeking Conversations with Large Language Models.
Proceedings of the 61st Annual Meeting of the Association for Computational Linguistics (Volume 2: Short Papers), 2023

NewsDialogues: Towards Proactive News Grounded Conversation.
Proceedings of the Findings of the Association for Computational Linguistics: ACL 2023, 2023

MA-GCL: Model Augmentation Tricks for Graph Contrastive Learning.
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.
AI Open, January, 2022

Payment behavior prediction on shared parking lots with TR-GCN.
VLDB J., 2022

MiDTD: A Simple and Effective Distillation Framework for Distantly Supervised Relation Extraction.
ACM Trans. Inf. Syst., 2022

COSINE: Compressive Network Embedding on Large-Scale Information Networks.
IEEE Trans. Knowl. Data Eng., 2022

Periodic Weather-Aware LSTM With Event Mechanism for Parking Behavior Prediction.
IEEE Trans. Knowl. Data Eng., 2022

Hypergraph Clustering Network for Interaction Data.
IEEE Data Eng. Bull., 2022

xTrimoABFold: De novo Antibody Structure Prediction without MSA.
CoRR, 2022

Few-shot Link Prediction in Dynamic Networks.
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.
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.
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.
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.
Proceedings of the Database Systems for Advanced Applications, 2022

OpenHGNN: An Open Source Toolkit for Heterogeneous Graph Neural Network.
Proceedings of the 31st ACM International Conference on Information & Knowledge Management, 2022

2021
Network Embedding: Theories, Methods, and Applications
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.
IEEE Trans. Knowl. Data Eng., 2021

CED: Credible Early Detection of Social Media Rumors.
IEEE Trans. Knowl. Data Eng., 2021

From Symbols to Embeddings: A Tale of Two Representations in Computational Social Science.
J. Soc. Comput., 2021

Text-Graph Enhanced Knowledge Graph Representation Learning.
Frontiers Artif. Intell., 2021

Evaluating Modules in Graph Contrastive Learning.
CoRR, 2021

Extract the Knowledge of Graph Neural Networks and Go Beyond it: An Effective Knowledge Distillation Framework.
Proceedings of the WWW '21: The Web Conference 2021, 2021

Package Recommendation with Intra- and Inter-Package Attention Networks.
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.
Proceedings of the Machine Learning and Knowledge Discovery in Databases. Research Track, 2021

Tree-Capsule: Tree-Structured Capsule Network for Improving Relation Extraction.
Proceedings of the Advances in Knowledge Discovery and Data Mining, 2021

Be Confident! Towards Trustworthy Graph Neural Networks via Confidence Calibration.
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.
Proceedings of the IEEE International Conference on Data Mining, 2021

Treasures Outside Contexts: Improving Event Detection via Global Statistics.
Proceedings of the 2021 Conference on Empirical Methods in Natural Language Processing, 2021

Topic-aware Heterogeneous Graph Neural Network for Link Prediction.
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.
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.
Proceedings of the Findings of the Association for Computational Linguistics: ACL/IJCNLP 2021, 2021

2020
Representation Learning in Wireless Multimedia Communications.
IEEE Wirel. Commun., 2020

Improving Sequence Modeling Ability of Recurrent Neural Networks via Sememes.
IEEE ACM Trans. Audio Speech Lang. Process., 2020

Reinforced Zero-Shot Cross-Lingual Neural Headline Generation.
IEEE ACM Trans. Audio Speech Lang. Process., 2020

Graph neural news recommendation with long-term and short-term interest modeling.
Inf. Process. Manag., 2020

KACC: A Multi-task Benchmark for Knowledge Abstraction, Concretization and Completion.
CoRR, 2020

Graph neural networks: A review of methods and applications.
AI Open, 2020

Adaptive Graph Encoder for Attributed Graph Embedding.
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.
Proceedings of the Twenty-Ninth International Joint Conference on Artificial Intelligence, 2020

Graph Neural News Recommendation with Unsupervised Preference Disentanglement.
Proceedings of the 58th Annual Meeting of the Association for Computational Linguistics, 2020

MixPoet: Diverse Poetry Generation via Learning Controllable Mixed Latent Space.
Proceedings of the Thirty-Fourth AAAI Conference on Artificial Intelligence, 2020

2019
Enhancing Recurrent Neural Networks with Sememes.
CoRR, 2019

Content-aware Deep Perceptual Image Compression.
Proceedings of the 11th International Conference on Wireless Communications and Signal Processing, 2019

Multi-scale Information Diffusion Prediction with Reinforced Recurrent Networks.
Proceedings of the Twenty-Eighth International Joint Conference on Artificial Intelligence, 2019

Sentiment-Controllable Chinese Poetry Generation.
Proceedings of the Twenty-Eighth International Joint Conference on Artificial Intelligence, 2019

Improving Distantly-Supervised Relation Extraction with Joint Label Embedding.
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.
Proceedings of the 57th Conference of the Association for Computational Linguistics, 2019

Jiuge: A Human-Machine Collaborative Chinese Classical Poetry Generation System.
Proceedings of the 57th Conference of the Association for Computational Linguistics, 2019

2018
Zero-Shot Cross-Lingual Neural Headline Generation.
IEEE ACM Trans. Audio Speech Lang. Process., 2018

Neural Diffusion Model for Microscopic Cascade Prediction.
CoRR, 2018

Graph Neural Networks: A Review of Methods and Applications.
CoRR, 2018

CED: Credible Early Detection of Social Media Rumors.
CoRR, 2018

Stylistic Chinese Poetry Generation via Unsupervised Style Disentanglement.
Proceedings of the 2018 Conference on Empirical Methods in Natural Language Processing, Brussels, Belgium, October 31, 2018

Chinese LIWC Lexicon Expansion via Hierarchical Classification of Word Embeddings with Sememe Attention.
Proceedings of the Thirty-Second AAAI Conference on Artificial Intelligence, 2018

2017
A Neural Network Approach to Jointly Modeling Social Networks and Mobile Trajectories.
ACM Trans. Inf. Syst., 2017

Fast Network Embedding Enhancement via High Order Proximity Approximation.
Proceedings of the Twenty-Sixth International Joint Conference on Artificial Intelligence, 2017

2016
A Neural Network Approach to Joint Modeling Social Networks and Mobile Trajectories.
CoRR, 2016

2015
Comprehend DeepWalk as Matrix Factorization.
CoRR, 2015

Network Representation Learning with Rich Text Information.
Proceedings of the Twenty-Fourth International Joint Conference on Artificial Intelligence, 2015

Real-Time Topic-Aware Influence Maximization Using Preprocessing.
Proceedings of the Computational Social Networks - 4th International Conference, 2015

2014
Efficient Topic-aware Influence Maximization Using Preprocessing.
CoRR, 2014


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