Shu Zhao

Orcid: 0000-0001-7647-3603

Affiliations:
  • Anhui University, Hefei, Anhui, China


According to our database1, Shu Zhao authored at least 135 papers between 2005 and 2026.

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

Timeline

Legend:

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Bibliography

2026
Unsupervised heterogeneous group streaming feature selection.
Pattern Recognit., 2026

2025
ImAdv: Transferable Implicit Adversarial Attack for 3D Object Detectors in Autonomous Driving.
IEEE Trans. Big Data, December, 2025

Sentop: sentence-level prefix prompt for controllable abstractive summarization.
Int. J. Mach. Learn. Cybern., October, 2025

Understanding the Robustness of Deep Recommendation under Adversarial Attacks.
ACM Trans. Knowl. Discov. Data, August, 2025

HyFit: Hybrid Fine-Tuning With Diverse Sampling for Abstractive Summarization.
IEEE Trans. Big Data, June, 2025

Online Stable Streaming Feature Selection via Feature Aggregation.
ACM Trans. Knowl. Discov. Data, April, 2025

ANF: Crafting Transferable Adversarial Point Clouds via Adversarial Noise Factorization.
IEEE Trans. Big Data, April, 2025

Contextualized Quaternion Embedding Towards Polysemy in Knowledge Graph for Link Prediction.
ACM Trans. Asian Low Resour. Lang. Inf. Process., April, 2025

Constructive sample partition-based parameter-free sampling for class-overlapped imbalanced data classification.
Appl. Intell., April, 2025

Introduction for the Special Issue on Trustworthy Artificial Intelligence.
ACM Trans. Knowl. Discov. Data, February, 2025

Enhanced Knowledge Tracing With Learnable Filter.
IEEE Trans. Comput. Soc. Syst., February, 2025

Empowering Object Detection: Unleashing the Potential of Decoupled and Interactive Distillation.
IEEE Trans. Intell. Transp. Syst., January, 2025

Prompt Contrastive Transformation: An Enhanced Strategy for Efficient Prompt Transfer in Natural Language Processing.
Trans. Assoc. Comput. Linguistics, 2025

Enhancing the Transferability of Adversarial Point Clouds by Initializing Transferable Adversarial Noise.
IEEE Signal Process. Lett., 2025

HireGC: Hierarchical inductive network representation learning via graph coarsening.
Knowl. Based Syst., 2025

IFM: Integrating and fine-tuning adversarial examples of recommendation system under multiple models to enhance their transferability.
Knowl. Based Syst., 2025

Building robust deep recommender systems: Utilizing a weighted adversarial noise propagation framework with robust fine-tuning modules.
Knowl. Based Syst., 2025

Graph contrastive learning via coarsening: A time and memory efficient approach.
Knowl. Based Syst., 2025

Trusted commonsense knowledge enhanced depression detection based on three-way decision.
Expert Syst. Appl., 2025

Multi-label learning for fault diagnosis of pumping units with one positive label.
Appl. Soft Comput., 2025

Triples as the Key: Structuring Makes Decomposition and Verification Easier in LLM-based TableQA.
Proceedings of the Thirteenth International Conference on Learning Representations, 2025

Temporal-Frequency State Space Duality: An Efficient Paradigm for Speech Emotion Recognition.
Proceedings of the 2025 IEEE International Conference on Acoustics, 2025

TableLLM: Enabling Tabular Data Manipulation by LLMs in Real Office Usage Scenarios.
Proceedings of the Findings of the Association for Computational Linguistics, 2025

2024
ReOP: Generating Transferable Fake Users for Recommendation Systems via Reverse Optimization.
IEEE Trans. Comput. Soc. Syst., December, 2024

Efficient Adversarial Attack Strategy Against 3D Object Detection in Autonomous Driving Systems.
IEEE Trans. Intell. Transp. Syst., November, 2024

CoMix: Confronting with Noisy Label Learning with Co-training Strategies on Textual Mislabeling.
ACM Trans. Asian Low Resour. Lang. Inf. Process., September, 2024

Online Heterogeneous Streaming Feature Selection Without Feature Type Information.
IEEE Trans. Big Data, August, 2024

Training Robust Deep Collaborative Filtering Models via Adversarial Noise Propagation.
ACM Trans. Inf. Syst., January, 2024

Explainable feature selection and ensemble classification via feature polarity.
Inf. Sci., 2024

Unsupervised technical phrase extraction by incorporating structure and position information.
Expert Syst. Appl., 2024

TableLLM: Enabling Tabular Data Manipulation by LLMs in Real Office Usage Scenarios.
CoRR, 2024

Why are hyperbolic neural networks effective? A study on hierarchical representation capability.
CoRR, 2024

Prediction of Freezing of Gait in Parkinson's disease based on multi-channel time-series neural network.
Artif. Intell. Medicine, 2024

Enhancing Knowledge Tracing via Random Layer-Wise Adversarial Training.
Proceedings of the Rough Sets - International Joint Conference, 2024

Generative Negative Sample Enhancement Based Few-Shot Named Entity Recognition.
Proceedings of the Rough Sets - International Joint Conference, 2024

Pre-Training and Prompting for Few-Shot Node Classification on Text-Attributed Graphs.
Proceedings of the 30th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2024

2023
A Black-Box Adversarial Attack Method via Nesterov Accelerated Gradient and Rewiring Towards Attacking Graph Neural Networks.
IEEE Trans. Big Data, December, 2023

GWNN-HF: beyond assortativity in graph wavelet neural network.
Knowl. Inf. Syst., November, 2023

Difficult Novel Class Detection in Semisupervised Streaming Data.
IEEE Trans. Neural Networks Learn. Syst., October, 2023

Enhancing the Transferability of Adversarial Examples Based on Nesterov Momentum for Recommendation Systems.
IEEE Trans. Big Data, October, 2023

DIEU: A Dynamic Interaction Emotion Unit for Emotion Recognition in Conversation.
ACM Trans. Asian Low Resour. Lang. Inf. Process., October, 2023

Utilizing the influence of multiple potential factors for social recommendation.
Knowl. Inf. Syst., October, 2023

Self-supervised scientific document recommendation based on contrastive learning.
Scientometrics, September, 2023

Dual Uncertainty-Guided Mixing Consistency for Semi-Supervised 3D Medical Image Segmentation.
IEEE Trans. Big Data, August, 2023

Fusion Pre-trained Emoji Feature Enhancement for Sentiment Analysis.
ACM Trans. Asian Low Resour. Lang. Inf. Process., April, 2023

Domain-Invariant Feature Progressive Distillation with Adversarial Adaptive Augmentation for Low-Resource Cross-Domain NER.
ACM Trans. Asian Low Resour. Lang. Inf. Process., March, 2023

HINChip: Heterogeneous Information Network Representation with Community Hierarchy Preserving.
Knowl. Based Syst., March, 2023

Adaptive social recommendation combined with the multi-domain influence.
Inf. Syst., January, 2023

GKD: A General Knowledge Distillation Framework for Large-scale Pre-trained Language Model.
CoRR, 2023

Robust semi-supervised clustering via data transductive warping.
Appl. Intell., 2023

Unsupervised KeyPhrase Extraction Based on Multi-granular Semantics Feature Fusion.
Proceedings of the Rough Sets - International Joint Conference, 2023

GKD: A General Knowledge Distillation Framework for Large-scale Pre-trained Language Model.
Proceedings of the The 61st Annual Meeting of the Association for Computational Linguistics: Industry Track, 2023

Are Intermediate Layers and Labels Really Necessary? A General Language Model Distillation Method.
Proceedings of the Findings of the Association for Computational Linguistics: ACL 2023, 2023

2022
Hierarchical label with imbalance and attributed network structure fusion for network embedding.
AI Open, January, 2022

CONNA: Addressing Name Disambiguation on the Fly.
IEEE Trans. Knowl. Data Eng., 2022

Online Scalable Streaming Feature Selection via Dynamic Decision.
ACM Trans. Knowl. Discov. Data, 2022

JAS-GAN: Generative Adversarial Network Based Joint Atrium and Scar Segmentations on Unbalanced Atrial Targets.
IEEE J. Biomed. Health Informatics, 2022

MGPOOL: multi-granular graph pooling convolutional networks representation learning.
Int. J. Mach. Learn. Cybern., 2022

Learning user sentiment orientation in social networks for sentiment analysis.
Inf. Sci., 2022

Reduce unrelated Knowledge through Attribute Collaborative signal for knowledge graph recommendation.
Expert Syst. Appl., 2022

Hyperbolic Hierarchical Knowledge Graph Embeddings for Link Prediction in Low Dimensions.
CoRR, 2022

Coherence-Based Distributed Document Representation Learning for Scientific Documents.
CoRR, 2022

A classified feature representation three-way decision model for sentiment analysis.
Appl. Intell., 2022

Cascade-based Adversarial Optimization for Influence Prediction.
Proceedings of the IEEE/WIC/ACM International Joint Conference on Web Intelligence and Intelligent Agent Technology, 2022

Using User's Expression Propensity for Sarcasm Detection Based on Sequential Three-Way Decision.
Proceedings of the Rough Sets - International Joint Conference, 2022

Unknown Type Streaming Feature Selection via Maximal Information Coefficient.
Proceedings of the IEEE International Conference on Data Mining Workshops, 2022

Hierarchical Representation Learning for Attributed Networks.
Proceedings of the 38th IEEE International Conference on Data Engineering, 2022

A Joint Learning Sentiment Analysis Method Incorporating Emoji-Augmentation.
Proceedings of the 8th IEEE International Conference on Cloud Computing and Intelligent Systems, 2022

2021
Feature Interaction for Streaming Feature Selection.
IEEE Trans. Neural Networks Learn. Syst., 2021

Multitask Learning for Estimating Multitype Cardiac Indices in MRI and CT Based on Adversarial Reverse Mapping.
IEEE Trans. Neural Networks Learn. Syst., 2021

User's Review Habits Enhanced Hierarchical Neural Network for Document-Level Sentiment Classification.
Neural Process. Lett., 2021

DLSA: dual-learning based on self-attention for rating prediction.
Int. J. Mach. Learn. Cybern., 2021

Online group streaming feature selection considering feature interaction.
Knowl. Based Syst., 2021

On embedding sequence correlations in attributed network for semi-supervised node classification.
Inf. Sci., 2021

Hierarchical community structure preserving approach for network embedding.
Inf. Sci., 2021

Improved reviewer assignment based on both word and semantic features.
Inf. Retr. J., 2021

M-GWNN: Multi-granularity graph wavelet neural networks for semi-supervised node classification.
Neurocomputing, 2021

FG-RS: Capture user fine-grained preferences through attribute information for Recommender Systems.
Neurocomputing, 2021

AH3: An adaptive hierarchical feature representation model for three-way decision boundary processing.
Int. J. Approx. Reason., 2021

A non-binary hierarchical tree overlapping community detection based on multi-dimensional similarity.
Intell. Data Anal., 2021

Attribute-based Neural Collaborative Filtering.
Expert Syst. Appl., 2021

Content-Enhanced Network Embedding for Academic Collaborator Recommendation.
Complex., 2021

Online early terminated streaming feature selection based on Rough Set theory.
Appl. Soft Comput., 2021

Three-Way Decisions Based RNN Models for Sentiment Classification.
Proceedings of the Rough Sets - International Joint Conference, 2021

Attention Enhanced Hierarchical Feature Representation for Three-Way Decision Boundary Processing.
Proceedings of the Rough Sets - International Joint Conference, 2021

PDALN: Progressive Domain Adaptation over a Pre-trained Model for Low-Resource Cross-Domain Named Entity Recognition.
Proceedings of the 2021 Conference on Empirical Methods in Natural Language Processing, 2021

2020
A Multi-Label Classification Method Using a Hierarchical and Transparent Representation for Paper-Reviewer Recommendation.
ACM Trans. Inf. Syst., 2020

Direct Quantification of Coronary Artery Stenosis Through Hierarchical Attentive Multi-View Learning.
IEEE Trans. Medical Imaging, 2020

Exploiting word embedding for heterogeneous topic model towards patent recommendation.
Scientometrics, 2020

Relational granulation method based on Quotient Space Theory for maximum flow problem.
Inf. Sci., 2020

Deep attention user-based collaborative filtering for recommendation.
Neurocomputing, 2020

Pyramid feature adaptation for semi-supervised cardiac bi-ventricle segmentation.
Comput. Medical Imaging Graph., 2020

Generative image inpainting for link prediction.
Appl. Intell., 2020

HGAR: Hybrid Granular Algorithm for Rating Recommendation.
Proceedings of the Rough Sets - International Joint Conference, 2020

Three-Way Decisions Community Detection Model Based on Weighted Graph Representation.
Proceedings of the Rough Sets - International Joint Conference, 2020

PRNSGA-II: A Novel Approach for Influence Maximization and Cost Minimization Based on NSGA-II.
Proceedings of the 2020 IEEE International Conference on Knowledge Graph, 2020

2019
Citation recommendation based on citation tendency.
Scientometrics, 2019

Reviewer assignment based on sentence pair modeling.
Neurocomputing, 2019

A three-way decision ensemble method for imbalanced data oversampling.
Int. J. Approx. Reason., 2019

An adaptive granulation algorithm for community detection based on improved label propagation.
Int. J. Approx. Reason., 2019

A multi-label classification method using a hierarchical and transparent representation for paper-reviewer recommendation.
CoRR, 2019

Marc: Multi-Granular Representation Learning for Networks Based on the 3-Clique.
IEEE Access, 2019

Three-Way Decision Collaborative Recommendation Algorithm Based on User Reputation.
Proceedings of the Rough Sets - International Joint Conference, 2019

Direct Quantification for Coronary Artery Stenosis Using Multiview Learning.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2019, 2019

Discriminative Consistent Domain Generation for Semi-supervised Learning.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2019, 2019

Citation Recommendation Based on Weighted Heterogeneous Information Network Containing Semantic Linking.
Proceedings of the IEEE International Conference on Multimedia and Expo, 2019

2018
A novel classification method for paper-reviewer recommendation.
Scientometrics, 2018

Direct delineation of myocardial infarction without contrast agents using a joint motion feature learning architecture.
Medical Image Anal., 2018

CareerMap: visualizing career trajectory.
Sci. China Inf. Sci., 2018

A Method for Boundary Processing in Three-Way Decisions Based on Hierarchical Feature Representation.
Proceedings of the Rough Sets - International Joint Conference, 2018

A Novel Approach for Influence Maximization Based on Clonal Selection Theory in Social Networks.
Proceedings of the 2018 IEEE International Conference on Data Mining Workshops, 2018

2017
Hierarchical Community Detection Based on Multi Degrees of Distance Space and Submodularity Optimization.
Proceedings of the Social Media Processing - 6th National Conference, 2017

Three-Way Dicision Community Detection Algorithm Based on Local Group Information.
Proceedings of the Rough Sets - International Joint Conference, 2017

Direct Detection of Pixel-Level Myocardial Infarction Areas via a Deep-Learning Algorithm.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2017, 2017

2016
A multi-ATL method for transfer learning across multiple domains with arbitrarily different distribution.
Knowl. Based Syst., 2016

Multi-granular mining for boundary regions in three-way decision theory.
Knowl. Based Syst., 2016

IFOA4WSC: a quick and effective algorithm for QoS-aware servicecomposition.
Int. J. Web Grid Serv., 2016

Research on Cost-Sensitive Method for Boundary Region in Three-Way Decision Model.
Proceedings of the Rough Sets - International Joint Conference, 2016

2015
A Multi-view Decision Model Based on CCA.
Proceedings of the Rough Sets and Knowledge Technology - 10th International Conference, 2015

Identifying Node Importance by Combining Betweenness Centrality and Katz Centrality.
Proceedings of the International Conference on Cloud Computing and Big Data, 2015

2014
Hierarchical description of uncertain information.
Inf. Sci., 2014

Using the Multi-instance Learning Method to Predict Protein-Protein Interactions with Domain Information.
Proceedings of the Rough Sets and Knowledge Technology - 9th International Conference, 2014

Cost-Sensitive Three-Way Decisions Model Based on CCA.
Proceedings of the Rough Sets and Current Trends in Computing, 2014

2013
A Three-Way Decisions Model Based on Constructive Covering Algorithm.
Proceedings of the Rough Sets and Knowledge Technology - 8th International Conference, 2013

Network Performance Analysis Based on Quotient Space Theory.
Proceedings of the Rough Sets, Fuzzy Sets, Data Mining, and Granular Computing, 2013

2012
A Novel Distributed Machine Learning Method for Classification: Parallel Covering Algorithm.
Proceedings of the Rough Sets and Knowledge Technology - 7th International Conference, 2012

Contracting community for computing maximum flow.
Proceedings of the 2012 IEEE International Conference on Granular Computing, 2012

A novel model to restrain email virus propagation.
Proceedings of the 2012 IEEE International Conference on Granular Computing, 2012

2011
The Optimal Approximation of Fuzzy Tolerance Relation.
Proceedings of the Rough Sets and Knowledge Technology - 6th International Conference, 2011

Multi-Side Multi-Instance Algorithm.
Proceedings of the Seventh International Conference on Computational Intelligence and Security, 2011

2010
Moving Object Detection Based on Gaussian Mixture Model within the Quotient Space Hierarchical Theory.
Proceedings of the Rough Set and Knowledge Technology - 5th International Conference, 2010

Computing the Point-to-Point Shortest Path: Quotient Space Theory's Application in Complex Network.
Proceedings of the Rough Set and Knowledge Technology - 5th International Conference, 2010

2009
A New Algorithm for Optimal Path Finding in Complex Networks Based on the Quotient Space.
Fundam. Informaticae, 2009

2006
Probability Model of Covering Algorithm (PMCA).
Proceedings of the Intelligent Computing, 2006

2005
The quotient structure in granule computing.
Proceedings of the 2005 IEEE International Conference on Granular Computing, 2005


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