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 71 papers between 2014 and 2024.

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Bibliography

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

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

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

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

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

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
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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