Wei Zhou

Orcid: 0000-0003-3622-3970

Affiliations:
  • Chinese Academy of Sciences, Institute of Information Engineering, Beijing, China


According to our database1, Wei Zhou authored at least 63 papers between 2010 and 2024.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

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Bibliography

2024
Modeling the Uncertainty of Information Propagation for Rumor Detection: A Neuro-Fuzzy Approach.
IEEE Trans. Neural Networks Learn. Syst., February, 2024

2023
Modeling Both Intra- and Inter-Modality Uncertainty for Multimodal Fake News Detection.
IEEE Trans. Multim., 2023

Mining Weak Relations Between Reviews for Opinion Spam Detection.
IEEE ACM Trans. Audio Speech Lang. Process., 2023

HIM: An End-to-End Hierarchical Interaction Model for Aspect Sentiment Triplet Extraction.
IEEE ACM Trans. Audio Speech Lang. Process., 2023

Can Large Language Models Understand Content and Propagation for Misinformation Detection: An Empirical Study.
CoRR, 2023

InfoEntropy Loss to Mitigate Bias of Learning Difficulties for Generative Language Models.
CoRR, 2023

HC3 Plus: A Semantic-Invariant Human ChatGPT Comparison Corpus.
CoRR, 2023

ConTextual Masked Auto-Encoder for Retrieval-based Dialogue Systems.
CoRR, 2023

UCAS-IIE-NLP at SemEval-2023 Task 12: Enhancing Generalization of Multilingual BERT for Low-resource Sentiment Analysis.
Proceedings of the The 17th International Workshop on Semantic Evaluation, 2023

Multi-modal Social Bot Detection: Learning Homophilic and Heterophilic Connections Adaptively.
Proceedings of the 31st ACM International Conference on Multimedia, 2023

Social Bot Detection Based on Window Strategy.
Proceedings of the IEEE International Conference on Multimedia and Expo, 2023

Semantic Stage-Wise Learning for Knowledge Distillation.
Proceedings of the IEEE International Conference on Multimedia and Expo, 2023

A Method of Social Context Enhanced User Preferences for Conversational Recommender Systems.
Proceedings of the Computational Science - ICCS 2023, 2023

CT-GAT: Cross-Task Generative Adversarial Attack based on Transferability.
Proceedings of the 2023 Conference on Empirical Methods in Natural Language Processing, 2023

MeaeQ: Mount Model Extraction Attacks with Efficient Queries.
Proceedings of the 2023 Conference on Empirical Methods in Natural Language Processing, 2023

Supervised Adversarial Contrastive Learning for Emotion Recognition in Conversations.
Proceedings of the 61st Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2023

2022
Deception Detection Towards Multi-turn Question Answering with Context Selector Network.
Proceedings of the PRICAI 2022: Trends in Artificial Intelligence, 2022

A Heterogeneous Propagation Graph Model for Rumor Detection Under the Relationship Among Multiple Propagation Subtrees.
Proceedings of the Machine Learning and Knowledge Discovery in Databases, 2022

Speaker-Guided Encoder-Decoder Framework for Emotion Recognition in Conversation.
Proceedings of the Thirty-First International Joint Conference on Artificial Intelligence, 2022

MRCE: A Multi-Representation Collaborative Enhancement Model for Aspect-Opinion Pair Extraction.
Proceedings of the Neural Information Processing - 29th International Conference, 2022

Cascade-Enhanced Graph Convolutional Network for Information Diffusion Prediction.
Proceedings of the Database Systems for Advanced Applications, 2022

A Unified Propagation Forest-based Framework for Fake News Detection.
Proceedings of the 29th International Conference on Computational Linguistics, 2022

Uncertainty-aware Propagation Structure Reconstruction for Fake News Detection.
Proceedings of the 29th International Conference on Computational Linguistics, 2022

Multi-Granularity Semantic Aware Graph Model for Reducing Position Bias in Emotion Cause Pair Extraction.
Proceedings of the Findings of the Association for Computational Linguistics: ACL 2022, 2022

2021
PEN4Rec: Preference Evolution Networks for Session-Based Recommendation.
Proceedings of the Knowledge Science, Engineering and Management, 2021

SRLF: A Stance-aware Reinforcement Learning Framework for Content-based Rumor Detection on Social Media.
Proceedings of the International Joint Conference on Neural Networks, 2021

Topic Sequence Embedding for User Identity Linkage from Heterogeneous Behavior Data.
Proceedings of the IEEE International Conference on Acoustics, 2021

Entity and Relation Matching Consensus for Entity Alignment.
Proceedings of the CIKM '21: The 30th ACM International Conference on Information and Knowledge Management, Virtual Event, Queensland, Australia, November 1, 2021

Towards Propagation Uncertainty: Edge-enhanced Bayesian Graph Convolutional Networks for Rumor Detection.
Proceedings of the 59th Annual Meeting of the Association for Computational Linguistics and the 11th International Joint Conference on Natural Language Processing, 2021

Label-Specific Dual Graph Neural Network for Multi-Label Text Classification.
Proceedings of the 59th Annual Meeting of the Association for Computational Linguistics and the 11th International Joint Conference on Natural Language Processing, 2021

2020
Yet another approach to understanding news event evolution.
World Wide Web, 2020

Beyond Statistical Relations: Integrating Knowledge Relations into Style Correlations for Multi-Label Music Style Classification.
Proceedings of the WSDM '20: The Thirteenth ACM International Conference on Web Search and Data Mining, 2020

DyHGCN: A Dynamic Heterogeneous Graph Convolutional Network to Learn Users' Dynamic Preferences for Information Diffusion Prediction.
Proceedings of the Machine Learning and Knowledge Discovery in Databases, 2020

Hierarchical Interaction Networks with Rethinking Mechanism for Document-Level Sentiment Analysis.
Proceedings of the Machine Learning and Knowledge Discovery in Databases, 2020

AutoSUM: Automating Feature Extraction and Multi-user Preference Simulation for Entity Summarization.
Proceedings of the Advances in Knowledge Discovery and Data Mining, 2020

Exploiting Heterogeneous Artist and Listener Preference Graph for Music Genre Classification.
Proceedings of the MM '20: The 28th ACM International Conference on Multimedia, 2020

GCN-IA: User Profile Based on Graph Convolutional Network with Implicit Association Labels.
Proceedings of the Computational Science - ICCS 2020, 2020

RE-GCN: Relation Enhanced Graph Convolutional Network for Entity Alignment in Heterogeneous Knowledge Graphs.
Proceedings of the Database Systems for Advanced Applications, 2020

Early Detection of Fake News by Utilizing the Credibility of News, Publishers, and Users based on Weakly Supervised Learning.
Proceedings of the 28th International Conference on Computational Linguistics, 2020

Who Are Controlled by The Same User? Multiple Identities Deception Detection via Social Interaction Activity (Student Abstract).
Proceedings of the Thirty-Fourth AAAI Conference on Artificial Intelligence, 2020

2019
Fusion Convolutional Attention Network for Opinion Spam Detection.
Proceedings of the Neural Information Processing - 26th International Conference, 2019

Learning Review Representations from user and Product Level Information for Spam Detection.
Proceedings of the 2019 IEEE International Conference on Data Mining, 2019

Jointly Embedding the Local and Global Relations of Heterogeneous Graph for Rumor Detection.
Proceedings of the 2019 IEEE International Conference on Data Mining, 2019

MLP-IA: Multi-label User Profile Based on Implicit Association Labels.
Proceedings of the Computational Science - ICCS 2019, 2019

Sockpuppet Detection in Social Network via Propagation Tree.
Proceedings of the Computational Science - ICCS 2019, 2019

Multi-hop Selector Network for Multi-turn Response Selection in Retrieval-based Chatbots.
Proceedings of the 2019 Conference on Empirical Methods in Natural Language Processing and the 9th International Joint Conference on Natural Language Processing, 2019

A Time-Series Sockpuppet Detection Method for Dynamic Social Relationships.
Proceedings of the Database Systems for Advanced Applications, 2019

2018
An Online Sockpuppet Detection Method Based on Subgraph Similarity Matching.
Proceedings of the IEEE International Conference on Parallel & Distributed Processing with Applications, 2018

2016
An efficient graph data processing system for large-scale social network service applications.
Concurr. Comput. Pract. Exp., 2016

Reducing the Communication Costs of Graph Analysis by Read-Only Replicas and Prioritized Execution.
Proceedings of the 18th IEEE International Conference on High Performance Computing and Communications; 14th IEEE International Conference on Smart City; 2nd IEEE International Conference on Data Science and Systems, 2016

2015
NYNN: An in-memory distributed storage system for massive graph analysis.
Proceedings of the Seventh International Conference on Advanced Computational Intelligence, 2015

A Distributed Graph Data Storage and Computing Framework.
Proceedings of the 17th IEEE International Conference on High Performance Computing and Communications, 2015

An evaluation and analysis of graph processing frameworks on five key issues.
Proceedings of the 12th ACM International Conference on Computing Frontiers, 2015

2014
Online Anomaly Detection by Improved Grammar Compression of Log Sequences.
Proceedings of the 2014 SIAM International Conference on Data Mining, 2014

Marbor: A novel large-scale graph data storage and processing framework.
Proceedings of the IEEE 33rd International Performance Computing and Communications Conference, 2014

Cress: Dynamic Scheduling for Resource Constrained Jobs.
Proceedings of the 17th IEEE International Conference on Computational Science and Engineering, 2014

PADM: Page Rank-Based Anomaly Detection Method of Log Sequences by Graph Computing.
Proceedings of the IEEE 6th International Conference on Cloud Computing Technology and Science, 2014

A Novel Clustering Algorithm on Large-Scale Graph Data.
Proceedings of the International Conference on Cloud Computing and Big Data, 2014

2013
HDKV: supporting efficient high-dimensional similarity search in key-value stores.
Concurr. Comput. Pract. Exp., 2013

Arbor: Efficient Large-Scale Graph Data Computing Model.
Proceedings of the 10th IEEE International Conference on High Performance Computing and Communications & 2013 IEEE International Conference on Embedded and Ubiquitous Computing, 2013

Lynn: A Multi-dimensional Dynamic Resource Management System for Distributed Applications in Clouds.
Proceedings of the 2013 International Conference on Cloud and Service Computing, 2013

2012
Dynamic Random Access for Hadoop Distributed File System.
Proceedings of the 32nd International Conference on Distributed Computing Systems Workshops (ICDCS 2012 Workshops), 2012

2010
Accelerating Spatial Data Processing with MapReduce.
Proceedings of the 16th IEEE International Conference on Parallel and Distributed Systems, 2010


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