Liping Jing

Orcid: 0000-0001-7578-3407

According to our database1, Liping Jing authored at least 147 papers between 2004 and 2024.

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

Timeline

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Bibliography

2024
Structure-Driven Representation Learning for Deep Clustering.
ACM Trans. Knowl. Discov. Data, January, 2024

BSDP: Brain-inspired Streaming Dual-level Perturbations for Online Open World Object Detection.
CoRR, 2024

Retrieval Augmented Cross-Modal Tag Recommendation in Software Q&A Sites.
CoRR, 2024

2023
Textual tag recommendation with multi-tag topical attention.
Neurocomputing, June, 2023

Learning to extract from multiple perspectives for neural keyphrase extraction.
Comput. Speech Lang., June, 2023

Deep Generative Mixture Model for Robust Imbalance Classification.
IEEE Trans. Pattern Anal. Mach. Intell., March, 2023

Siamese transformer with hierarchical concept embedding for fine-grained image recognition.
Sci. China Inf. Sci., March, 2023

Triple Alliance Prototype Orthotist Network for Long-Tailed Multi-Label Text Classification.
IEEE ACM Trans. Audio Speech Lang. Process., 2023

Shyness Trait Recognition for Schoolchildren via Multi-View Features of Online Writing.
IEEE Trans. Affect. Comput., 2023

Large Language Models as Zero-Shot Keyphrase Extractors: A Preliminary Empirical Study.
CoRR, 2023

Sequential Tag Recommendation.
CoRR, 2023

Divert More Attention to Vision-Language Object Tracking.
CoRR, 2023

Is ChatGPT A Good Keyphrase Generator? A Preliminary Study.
CoRR, 2023

HISum: Hyperbolic Interaction Model for Extractive Multi-Document Summarization.
Proceedings of the ACM Web Conference 2023, 2023

vMF Loss: Exploring a Scattered Intra-class Hypersphere for Few-Shot Learning.
Proceedings of the Machine Learning and Knowledge Discovery in Databases: Research Track, 2023

Not All Tasks Are Equal: A Parameter-Efficient Task Reweighting Method for Few-Shot Learning.
Proceedings of the Machine Learning and Knowledge Discovery in Databases: Research Track, 2023

Overcoming Recency Bias of Normalization Statistics in Continual Learning: Balance and Adaptation.
Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

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

Doubly Intention Learning for Cold-start Recommendation with Uncertainty-aware Stochastic Meta Process.
Proceedings of the 31st ACM International Conference on Multimedia, 2023

Bootstrap Decomposition Enhanced Orthogonal-Basis Projection Model for Long-term Time Series Forecasting.
Proceedings of the International Joint Conference on Neural Networks, 2023

Recognizable Information Bottleneck.
Proceedings of the Thirty-Second International Joint Conference on Artificial Intelligence, 2023

Mitigating Over-Generation for Unsupervised Keyphrase Extraction with Heterogeneous Centrality Detection.
Proceedings of the 2023 Conference on Empirical Methods in Natural Language Processing, 2023

HyperRank: Hyperbolic Ranking Model for Unsupervised Keyphrase Extraction.
Proceedings of the 2023 Conference on Empirical Methods in Natural Language Processing, 2023

A Survey on Recent Advances in Keyphrase Extraction from Pre-trained Language Models.
Proceedings of the Findings of the Association for Computational Linguistics: EACL 2023, 2023

Modeling Preference as Weighted Distribution over Functions for User Cold-start Recommendation.
Proceedings of the 32nd ACM International Conference on Information and Knowledge Management, 2023

Improving Diversity in Unsupervised Keyphrase Extraction with Determinantal Point Process.
Proceedings of the 32nd ACM International Conference on Information and Knowledge Management, 2023

Unsupervised Keyphrase Extraction by Learning Neural Keyphrase Set Function.
Proceedings of the Findings of the Association for Computational Linguistics: ACL 2023, 2023

Improving Embedding-based Unsupervised Keyphrase Extraction by Incorporating Structural Information.
Proceedings of the Findings of the Association for Computational Linguistics: ACL 2023, 2023

Label-Specific Feature Augmentation for Long-Tailed Multi-Label Text Classification.
Proceedings of the Thirty-Seventh AAAI Conference on Artificial Intelligence, 2023

2022
Bayesian Additive Matrix Approximation for Social Recommendation.
ACM Trans. Knowl. Discov. Data, 2022

Label-Aware Document Representation via Hybrid Attention for Extreme Multi-Label Text Classification.
Neural Process. Lett., 2022

Semantic guide for semi-supervised few-shot multi-label node classification.
Inf. Sci., 2022

Adaptive distribution calibration for few-shot learning via optimal transport.
Inf. Sci., 2022

Pairwise Instance Relation Augmentation for Long-tailed Multi-label Text Classification.
CoRR, 2022

Approximate better, Attack stronger: Adversarial Example Generation via Asymptotically Gaussian Mixture Distribution.
CoRR, 2022

Leveraging implicit social structures for recommendation via a Bayesian generative model.
Sci. China Inf. Sci., 2022

Inference during reading: multi-label classification for text with continuous semantic units.
Appl. Intell., 2022

Divert More Attention to Vision-Language Tracking.
Proceedings of the Advances in Neural Information Processing Systems 35: Annual Conference on Neural Information Processing Systems 2022, 2022

Amortized Mixing Coupling Processes for Clustering.
Proceedings of the Advances in Neural Information Processing Systems 35: Annual Conference on Neural Information Processing Systems 2022, 2022

Hyperbolic Relevance Matching for Neural Keyphrase Extraction.
Proceedings of the 2022 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies, 2022

Learning Intrinsic and Extrinsic Intentions for Cold-start Recommendation with Neural Stochastic Processes.
Proceedings of the MM '22: The 30th ACM International Conference on Multimedia, Lisboa, Portugal, October 10, 2022

Learning Target-aware Representation for Visual Tracking via Informative Interactions.
Proceedings of the Thirty-First International Joint Conference on Artificial Intelligence, 2022

Utilizing BERT Intermediate Layers for Unsupervised Keyphrase Extraction.
Proceedings of the 5th International Conference on Natural Language and Speech Processing, 2022

A Preliminary Exploration of Extractive Multi-Document Summarization in Hyperbolic Space.
Proceedings of the 31st ACM International Conference on Information & Knowledge Management, 2022

2021
Social Recommendation With Learning Personal and Social Latent Factors.
IEEE Trans. Knowl. Data Eng., 2021

Smooth Soft-Balance Discriminative Analysis for imbalanced data.
Knowl. Based Syst., 2021

Interpretable Deep Generative Recommendation Models.
J. Mach. Learn. Res., 2021

Local distribution-based adaptive minority oversampling for imbalanced data classification.
Neurocomputing, 2021

Adversarial Imbalance Classification with Class-Specific Diverse Instance Generation.
Proceedings of the International Joint Conference on Neural Networks, 2021

Probing BERT in Hyperbolic Spaces.
Proceedings of the 9th International Conference on Learning Representations, 2021

Interpretable Image Recognition by Constructing Transparent Embedding Space.
Proceedings of the 2021 IEEE/CVF International Conference on Computer Vision, 2021

Importance Estimation from Multiple Perspectives for Keyphrase Extraction.
Proceedings of the 2021 Conference on Empirical Methods in Natural Language Processing, 2021

Cluster-Wise Hierarchical Generative Model for Deep Amortized Clustering.
Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2021

Hybrid Summarization with Semantic Weighting Reward and Latent Structure Detector.
Proceedings of the Asian Conference on Machine Learning, 2021

StereoRel: Relational Triple Extraction from a Stereoscopic Perspective.
Proceedings of the 59th Annual Meeting of the Association for Computational Linguistics and the 11th International Joint Conference on Natural Language Processing, 2021

Does Head Label Help for Long-Tailed Multi-Label Text Classification.
Proceedings of the Thirty-Fifth AAAI Conference on Artificial Intelligence, 2021

2020
Robust Unsupervised Cross-modal Hashing for Multimedia Retrieval.
ACM Trans. Inf. Syst., 2020

Adaptive Sample-Level Graph Combination for Partial Multiview Clustering.
IEEE Trans. Image Process., 2020

Cross-Task Transfer for Multimodal Aerial Scene Recognition.
CoRR, 2020

Important sampling based active learning for imbalance classification.
Sci. China Inf. Sci., 2020

Deep Global and Local Generative Model for Recommendation.
Proceedings of the WWW '20: The Web Conference 2020, Taipei, Taiwan, April 20-24, 2020, 2020

Deep Generative Recommendation with Maximizing Reciprocal Rank.
Proceedings of the Knowledge Science, Engineering and Management, 2020

Unsupervised Deep Imputed Hashing for Partial Cross-modal Retrieval.
Proceedings of the 2020 International Joint Conference on Neural Networks, 2020

Cross-Task Transfer for Geotagged Audiovisual Aerial Scene Recognition.
Proceedings of the Computer Vision - ECCV 2020, 2020

Deep Generative Model for Robust Imbalance Classification.
Proceedings of the 2020 IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2020

Hyperbolic Capsule Networks for Multi-Label Classification.
Proceedings of the 58th Annual Meeting of the Association for Computational Linguistics, 2020

Hyperbolic Interaction Model for Hierarchical Multi-Label Classification.
Proceedings of the Thirty-Fourth AAAI Conference on Artificial Intelligence, 2020

2019
Adaptive Local Low-rank Matrix Approximation for Recommendation.
ACM Trans. Inf. Syst., 2019

Tensor-Based Low-Dimensional Representation Learning for Multi-View Clustering.
IEEE Trans. Image Process., 2019

Sentiment Lexicon Construction With Hierarchical Supervision Topic Model.
IEEE ACM Trans. Audio Speech Lang. Process., 2019

Sparse Self-Attention LSTM for Sentiment Lexicon Construction.
IEEE ACM Trans. Audio Speech Lang. Process., 2019

样本自适应的不平衡分类器 (Sample Adaptive Classifier for Imbalanced Data).
计算机科学, 2019

Collaboration Matrix Factorization on Rate and Review for Recommendation.
J. Database Manag., 2019

Group Collaborative Representation for Image Set Classification.
Int. J. Comput. Vis., 2019

Label-aware Document Representation via Hybrid Attention for Extreme Multi-Label Text Classification.
CoRR, 2019

Clustering ensemble based on sample's stability.
Artif. Intell., 2019

Deep generative ranking for personalized recommendation.
Proceedings of the 13th ACM Conference on Recommender Systems, 2019

Informative Instance Detection for Active Learning on Imbalanced Data.
Proceedings of the International Joint Conference on Neural Networks, 2019

Heterogeneous Transfer Clustering for Partial Co-occurrence Data.
Proceedings of the 31st IEEE International Conference on Tools with Artificial Intelligence, 2019

Unsupervised Deep Fusion Cross-modal Hashing.
Proceedings of the International Conference on Multimodal Interaction, 2019

Supervised Class Distribution Learning for GANs-Based Imbalanced Classification.
Proceedings of the 2019 IEEE International Conference on Data Mining, 2019

Label-Specific Document Representation for Multi-Label Text Classification.
Proceedings of the 2019 Conference on Empirical Methods in Natural Language Processing and the 9th International Joint Conference on Natural Language Processing, 2019

In2Rec: Influence-based Interpretable Recommendation.
Proceedings of the 28th ACM International Conference on Information and Knowledge Management, 2019

A Weighted Tensor Factorization Method for Low-Rank Tensor Completion.
Proceedings of the Fifth IEEE International Conference on Multimedia Big Data, 2019

Self-Supervised Deep Multi-View Subspace Clustering.
Proceedings of The 11th Asian Conference on Machine Learning, 2019

2018
Attention, Please! Adversarial Defense via Attention Rectification and Preservation.
CoRR, 2018

The Automatic Identification of Butterfly Species.
CoRR, 2018

Neural gaussian mixture model for review-based rating prediction.
Proceedings of the 12th ACM Conference on Recommender Systems, 2018

Adaptive Ensemble Probabilistic Matrix Approximation for Recommendation.
Proceedings of the Pattern Recognition and Computer Vision - First Chinese Conference, 2018

A Joint Multi-Task CNN for Cross-Age Face Recognition.
Proceedings of the 2018 IEEE International Conference on Image Processing, 2018

Partial Multi-view Clustering via Auto-Weighting Similarity Completion.
Proceedings of the Biometric Recognition - 13th Chinese Conference, 2018

Discriminative Semi-Supervised Feature Selection via Rescaled Least Squares Regression-Supplement.
Proceedings of the Thirty-Second AAAI Conference on Artificial Intelligence, 2018

2017
DCAR: A Discriminative and Compact Audio Representation for Audio Processing.
IEEE Trans. Multim., 2017

Multi-Label Classification by Semi-Supervised Singular Value Decomposition.
IEEE Trans. Image Process., 2017

Common latent space identification for heterogeneous co-transfer clustering.
Neurocomputing, 2017

Additive Co-Clustering with Social Influence for Recommendation.
Proceedings of the Eleventh ACM Conference on Recommender Systems, 2017

2016
Learning Transferred Weights From Co-Occurrence Data for Heterogeneous Transfer Learning.
IEEE Trans. Neural Networks Learn. Syst., 2016

A discriminative and sparse topic model for image classification and annotation.
Image Vis. Comput., 2016

Robust graph learning via constrained elastic-net regularization.
Neurocomputing, 2016

DCAR: A Discriminative and Compact Audio Representation to Improve Event Detection.
CoRR, 2016

An Efficient Parallel Trust-Based Recommendation Method on Multicores.
Proceedings of the 2016 High Performance Graph Data Management and Processing Workshop, 2016

A Discriminative and Compact Audio Representation for Event Detection.
Proceedings of the 2016 ACM Conference on Multimedia Conference, 2016

2015
Robust and Non-Negative Collective Matrix Factorization for Text-to-Image Transfer Learning.
IEEE Trans. Image Process., 2015

Stratified feature sampling method for ensemble clustering of high dimensional data.
Pattern Recognit., 2015

Common Latent Space Identification for Heterogeneous Co-transfer Clustering.
Proceedings of the Intelligence Science and Big Data Engineering. Big Data and Machine Learning Techniques, 2015

Sparse Probabilistic Matrix Factorization by Laplace Distribution for Collaborative Filtering.
Proceedings of the Twenty-Fourth International Joint Conference on Artificial Intelligence, 2015

Semi-supervised low-rank mapping learning for multi-label classification.
Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2015

2014
Sparse Label-Indicator Optimization Methods for Image Classification.
IEEE Trans. Image Process., 2014

A New Active Set Method For Nonnegative Matrix Factorization.
SIAM J. Sci. Comput., 2014

Heterogeneous Co-transfer Spectral Clustering.
Proceedings of the Rough Sets and Knowledge Technology - 9th International Conference, 2014

Constrained Least Squares Regression for Semi-Supervised Learning.
Proceedings of the Advances in Knowledge Discovery and Data Mining, 2014

Weighting Exponent Selection of Fuzzy C-Means via Jacobian Matrix.
Proceedings of the Knowledge Science, Engineering and Management, 2014

2013
Dictionary Learning-Based Subspace Structure Identification in Spectral Clustering.
IEEE Trans. Neural Networks Learn. Syst., 2013

A novel semi-supervised learning framework with simultaneous text representing.
Knowl. Inf. Syst., 2013

Recommending scientific articles using bi-relational graph-based iterative RWR.
Proceedings of the Seventh ACM Conference on Recommender Systems, 2013

Adaptive Graph Constrained NMF for Semi-Supervised Learning.
Proceedings of the Partially Supervised Learning - Second IAPR International Workshop, 2013

Sparse-MIML: A Sparsity-Based Multi-Instance Multi-Learning Algorithm.
Proceedings of the Energy Minimization Methods in Computer Vision and Pattern Recognition, 2013

2012
SNMFCA: Supervised NMF-Based Image Classification and Annotation.
IEEE Trans. Image Process., 2012

A multi-layer text classification framework based on two-level representation model.
Expert Syst. Appl., 2012

Semi-supervised Clustering via Constrained Symmetric Non-negative Matrix Factorization.
Proceedings of the Brain Informatics - International Conference, 2012

2011
On gene Selection and Classification for Cancer microarray Data Using Multi-Step Clustering and Sparse Representation.
Adv. Data Sci. Adapt. Anal., 2011

Least Absolute Deviation Cut.
Proceedings of the Rough Sets and Knowledge Technology - 6th International Conference, 2011

Text Clustering Based on Granular Computing and Wikipedia.
Proceedings of the Rough Sets and Knowledge Technology - 6th International Conference, 2011

Unsupervised Feature Weighting Based on Local Feature Relatedness.
Proceedings of the Advances in Knowledge Discovery and Data Mining, 2011

High-Order Co-clustering Text Data on Semantics-Based Representation Model.
Proceedings of the Advances in Knowledge Discovery and Data Mining, 2011

Text Clustering via Constrained Nonnegative Matrix Factorization.
Proceedings of the 11th IEEE International Conference on Data Mining, 2011

Sparse representation-based gene selection for cancer prediction.
Proceedings of the 4th International Conference on Biomedical Engineering and Informatics, 2011

2010
Construction of gene networks with hybrid approach from expression profile and gene ontology.
IEEE Trans. Inf. Technol. Biomed., 2010

Knowledge-based vector space model for text clustering.
Knowl. Inf. Syst., 2010

Prior knowledge based mining functional modules from Yeast PPI networks with gene ontology.
BMC Bioinform., 2010

Text Clustering via Term Semantic Units.
Proceedings of the 2010 IEEE/WIC/ACM International Conference on Web Intelligence, 2010

Semantics-Based Representation Model for Multi-layer Text Classification.
Proceedings of the Knowledge-Based and Intelligent Information and Engineering Systems, 2010

Medical Document Clustering Using Ontology-Based Term Similarity Measures.
Proceedings of the Strategic Advancements in Utilizing Data Mining and Warehousing Technologies: New Concepts and Developments, 2010

2009
Soft Subspace Clustering for High-Dimensional Data.
Proceedings of the Encyclopedia of Data Warehousing and Mining, Second Edition (4 Volumes), 2009

A new fuzzy k-modes clustering algorithm for categorical data.
Int. J. Granul. Comput. Rough Sets Intell. Syst., 2009

SMART: a subspace clustering algorithm that automatically identifies the appropriate number of clusters.
Int. J. Data Min. Model. Manag., 2009

A semi-supervised approach to projected clustering with applications to microarray data.
Int. J. Data Min. Bioinform., 2009

Granular Computing for Text Mining: New Research Challenges and Opportunities.
Proceedings of the Rough Sets, 2009

New Labeling Strategy for Semi-supervised Document Categorization.
Proceedings of the Knowledge Science, 2009

2008
Medical Document Clustering Using Ontology-Based Term Similarity Measures.
Int. J. Data Warehous. Min., 2008

Spectral geometry for simultaneously clustering and ranking query search results.
Proceedings of the 31st Annual International ACM SIGIR Conference on Research and Development in Information Retrieval, 2008

2007
An Entropy Weighting k-Means Algorithm for Subspace Clustering of High-Dimensional Sparse Data.
IEEE Trans. Knowl. Data Eng., 2007

A Comparative Study of Ontology Based Term Similarity Measures on PubMed Document Clustering.
Proceedings of the Advances in Databases: Concepts, 2007

2006
Supplier Categorization with <i>K</i>-Means Type Subspace Clustering.
Proceedings of the Frontiers of WWW Research and Development, 2006

2005
On the Performance of Feature Weighting <i>K</i>-Means for Text Subspace Clustering.
Proceedings of the Advances in Web-Age Information Management, 2005

Subspace Clustering of Text Documents with Feature Weighting <i>K</i>-Means Algorithm.
Proceedings of the Advances in Knowledge Discovery and Data Mining, 2005

2004
A Feature Weighting Approach to Building Classification Models by Interactive Clustering.
Proceedings of the Modeling Decisions for Artificial Intelligence, 2004


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