Siqu Long

Orcid: 0000-0003-0590-7587

According to our database1, Siqu Long authored at least 25 papers between 2018 and 2024.

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

Timeline

Legend:

Book 
In proceedings 
Article 
PhD thesis 
Dataset
Other 

Links

On csauthors.net:

Bibliography

2024
Interpretable deep learning in single-cell omics.
CoRR, 2024

2023
DDI-MuG: Multi-aspect graphs for drug-drug interaction extraction.
Frontiers Digit. Health, March, 2023

A Survey of Joint Intent Detection and Slot Filling Models in Natural Language Understanding.
ACM Comput. Surv., 2023

Tri-level Joint Natural Language Understanding for Multi-turn Conversational Datasets.
CoRR, 2023

Form-NLU: Dataset for the Form Language Understanding.
CoRR, 2023


PiggyBack: Pretrained Visual Question Answering Environment for Backing up Non-deep Learning Professionals.
Proceedings of the Sixteenth ACM International Conference on Web Search and Data Mining, 2023

Form-NLU: Dataset for the Form Natural Language Understanding.
Proceedings of the 46th International ACM SIGIR Conference on Research and Development in Information Retrieval, 2023

MC-DRE: Multi-Aspect Cross Integration for Drug Event/Entity Extraction.
Proceedings of the 32nd ACM International Conference on Information and Knowledge Management, 2023

2022
Spoken Language Understanding for Conversational AI: Recent Advances and Future Direction.
CoRR, 2022

A Quantitative and Qualitative Analysis of Suicide Ideation Detection using Deep Learning.
CoRR, 2022

ME-GCN: Multi-dimensional Edge-Embedded Graph Convolutional Networks for Semi-supervised Text Classification.
CoRR, 2022

Understanding Graph Convolutional Networks for Text Classification.
CoRR, 2022

GraDual: Graph-based Dual-modal Representation for Image-Text Matching.
Proceedings of the IEEE/CVF Winter Conference on Applications of Computer Vision, 2022

Vision-and-Language Pretrained Models: A Survey.
Proceedings of the Thirty-First International Joint Conference on Artificial Intelligence, 2022

Doc-GCN: Heterogeneous Graph Convolutional Networks for Document Layout Analysis.
Proceedings of the 29th International Conference on Computational Linguistics, 2022

Understanding Attention for Vision-and-Language Tasks.
Proceedings of the 29th International Conference on Computational Linguistics, 2022

2021
Bi-Directional Joint Neural Networks for Intent Classification and Slot Filling.
Proceedings of the Interspeech 2021, 22nd Annual Conference of the International Speech Communication Association, Brno, Czechia, 30 August, 2021

GLocal-K: Global and Local Kernels for Recommender Systems.
Proceedings of the CIKM '21: The 30th ACM International Conference on Information and Knowledge Management, Virtual Event, Queensland, Australia, November 1, 2021

CONDA: a CONtextual Dual-Annotated dataset for in-game toxicity understanding and detection.
Proceedings of the Findings of the Association for Computational Linguistics: ACL/IJCNLP 2021, 2021

2020
VICTR: Visual Information Captured Text Representation for Text-to-Image Multimodal Tasks.
CoRR, 2020

Detect All Abuse! Toward Universal Abusive Language Detection Models.
Proceedings of the 28th International Conference on Computational Linguistics, 2020

VICTR: Visual Information Captured Text Representation for Text-to-Vision Multimodal Tasks.
Proceedings of the 28th International Conference on Computational Linguistics, 2020

2019
Low Resource Named Entity Recognition Using Contextual Word Representation and Neural Cross-Lingual Knowledge Transfer.
Proceedings of the Neural Information Processing - 26th International Conference, 2019

2018
A comparative study of online and face-to-face embedded systems learning course.
Proceedings of the 20th Australasian Computing Education Conference, Brisbane, QLD, Australia, January 30, 2018


  Loading...