Bin Wang

Orcid: 0000-0001-9760-8343

Affiliations:
  • University of Southern California, Departmet of Electrical Engineering, Los Angeles, CA, USA


According to our database1, Bin Wang authored at least 32 papers between 2018 and 2024.

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

Timeline

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Bibliography

2024
AsyncET: Asynchronous Representation Learning for Knowledge Graph Entity Typing.
Proceedings of the 30th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2024

2023
GraphHop: An Enhanced Label Propagation Method for Node Classification.
IEEE Trans. Neural Networks Learn. Syst., November, 2023

Synwmd: Syntax-aware word Mover's distance for sentence similarity evaluation.
Pattern Recognit. Lett., 2023

Knowledge Graph Embedding: An Overview.
CoRR, 2023

AsyncET: Asynchronous Learning for Knowledge Graph Entity Typing with Auxiliary Relations.
CoRR, 2023

Enhancing Black-Box Few-Shot Text Classification with Prompt-Based Data Augmentation.
CoRR, 2023

Knowledge Graph Embedding with 3D Compound Geometric Transformations.
CoRR, 2023

An Overview on Language Models: Recent Developments and Outlook.
CoRR, 2023

Relational Sentence Embedding for Flexible Semantic Matching.
Proceedings of the 8th Workshop on Representation Learning for NLP, 2023

GreenKGC: A Lightweight Knowledge Graph Completion Method.
Proceedings of the 61st Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2023

Compounding Geometric Operations for Knowledge Graph Completion.
Proceedings of the 61st Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2023

2022
PEDENet: Image anomaly localization via patch embedding and density estimation.
Pattern Recognit. Lett., 2022

Task-specific dependency-based word embedding methods.
Pattern Recognit. Lett., 2022

KGBoost: A classification-based knowledge base completion method with negative sampling.
Pattern Recognit. Lett., 2022

CORE: A knowledge graph entity type prediction method via complex space regression and embedding.
Pattern Recognit. Lett., 2022

A Focused Study on Sequence Length for Dialogue Summarization.
CoRR, 2022

CompoundE: Knowledge Graph Embedding with Translation, Rotation and Scaling Compound Operations.
CoRR, 2022

Analyzing and Evaluating Faithfulness in Dialogue Summarization.
Proceedings of the 2022 Conference on Empirical Methods in Natural Language Processing, 2022

Generate, Discriminate and Contrast: A Semi-Supervised Sentence Representation Learning Framework.
Proceedings of the 2022 Conference on Empirical Methods in Natural Language Processing, 2022

Just Rank: Rethinking Evaluation with Word and Sentence Similarities.
Proceedings of the 60th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2022

2021
Dynamic Texture Synthesis by Incorporating Long-range Spatial and Temporal Correlations.
CoRR, 2021

AnomalyHop: An SSL-based Image Anomaly Localization Method.
Proceedings of the International Conference on Visual Communications and Image Processing, 2021

Inductive Learning on Commonsense Knowledge Graph Completion.
Proceedings of the International Joint Conference on Neural Networks, 2021

Hierarchical Bit-Wise Differential Coding (HBDC) of Point Cloud Attributes.
Proceedings of the IEEE International Conference on Acoustics, 2021

2020
SBERT-WK: A Sentence Embedding Method by Dissecting BERT-Based Word Models.
IEEE ACM Trans. Audio Speech Lang. Process., 2020

Efficient Sentence Embedding via Semantic Subspace Analysis.
Proceedings of the 25th International Conference on Pattern Recognition, 2020

2019
Graph Representation Learning: A Survey.
CoRR, 2019

Evaluating Word Embedding Models: Methods and Experimental Results.
CoRR, 2019

K-Covers for Active Learning in Image Classification.
Proceedings of the IEEE International Conference on Multimedia & Expo Workshops, 2019

Deepwalk-assisted Graph PCA (DGPCA) for Language Networks.
Proceedings of the IEEE International Conference on Acoustics, 2019

2018
Post-Processing of Word Representations via Variance Normalization and Dynamic Embedding.
CoRR, 2018

Graph-Based Deep-Tree Recursive Neural Network (DTRNN) for Text Classification.
Proceedings of the 2018 IEEE Spoken Language Technology Workshop, 2018


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