Li Huang

Orcid: 0000-0003-0086-5461

Affiliations:

Southwestern University of Finance and Economics, School of Computing and Artificial Intelligence, Chengdu, China
University of Electronic Science and Technology of China, Chengdu, China (PhD 2021)

According to our database¹, Li Huang authored at least 22 papers between 2017 and 2024.

Collaborative distances:

Dijkstra number² of four.
Erdős number³ of four.

Timeline

Legend:

Book

In proceedings

Article

PhD thesis

Dataset

Other

Bibliography

2024

Diffusion probabilistic model for bike-sharing demand recovery with factual knowledge fusion.

[BibT_eX]

[DOI]

Neural Networks, 2024

Enhancing relation extraction using multi-task learning with SDP evidence.

[BibT_eX]

[DOI]

Inf. Sci., 2024

Relational Fusion-based Stock Selection with Neural Recursive Ordinary Differential Equation Networks.

[BibT_eX]

[DOI]

Inf. Fusion, 2024

Enhancing Fine-Grained Urban Flow Inference via Incremental Neural Operator.

[BibT_eX]

[DOI]

Proceedings of the Thirty-Third International Joint Conference on Artificial Intelligence, 2024

Advancing Event Causality Identification via Heuristic Semantic Dependency Inquiry Network.

[BibT_eX]

[DOI]

Proceedings of the 2024 Conference on Empirical Methods in Natural Language Processing, 2024

2023

Human-Level Control Through Directly Trained Deep Spiking Q-Networks.

[BibT_eX]

[DOI]

IEEE Trans. Cybern., November, 2023

Multi-granularity stock prediction with sequential three-way decisions.

[BibT_eX]

[DOI]

Inf. Sci., April, 2023

Dual-grained human mobility learning for location-aware trip recommendation with spatial-temporal graph knowledge fusion.

[BibT_eX]

[DOI]

Inf. Fusion, April, 2023

HBay: Predicting Human Mobility via Hyperspherical Bayesian Learning.

[BibT_eX]

[DOI]

Proceedings of the Knowledge Science, Engineering and Management, 2023

Spatial-Temporal Diffusion Probabilistic Learning for Crime Prediction.

[BibT_eX]

[DOI]

Proceedings of the Knowledge Science, Engineering and Management, 2023

Open Anomalous Trajectory Recognition via Probabilistic Metric Learning.

[BibT_eX]

[DOI]

Proceedings of the Thirty-Second International Joint Conference on Artificial Intelligence, 2023

Attention Localness in Shared Encoder-Decoder Model For Text Summarization.

[BibT_eX]

[DOI]

Proceedings of the IEEE International Conference on Acoustics, 2023

2022

Summarization With Self-Aware Context Selecting Mechanism.

[BibT_eX]

[DOI]

IEEE Trans. Cybern., 2022

Incorporating Interactive Facts for Stock Selection via Neural Recursive ODEs.

[BibT_eX]

[DOI]

CoRR, 2022

2021

Improving neural machine translation using gated state network and focal adaptive attention networtk.

[BibT_eX]

[DOI]

Neural Comput. Appl., 2021

Accelerating Transformer for Neural Machine Translation.

[BibT_eX]

[DOI]

Li Huang

Wenyu Chen

Hong Qu

Proceedings of the ICMLC 2021: 13th International Conference on Machine Learning and Computing, 2021

Twin-GAN for Neural Machine Translation.

[BibT_eX]

[DOI]

Proceedings of the 13th International Conference on Agents and Artificial Intelligence, 2021

2020

A Weighted GCN with Logical Adjacency Matrix for Relation Extraction.

[BibT_eX]

[DOI]

Proceedings of the ECAI 2020 - 24th European Conference on Artificial Intelligence, 29 August-8 September 2020, Santiago de Compostela, Spain, August 29 - September 8, 2020, 2020

KINNEWS and KIRNEWS: Benchmarking Cross-Lingual Text Classification for Kinyarwanda and Kirundi.

[BibT_eX]

[DOI]

Rubungo Andre Niyongabo

Hong Qu

Julia Kreutzer

Li Huang

Proceedings of the 28th International Conference on Computational Linguistics, 2020

2019

An Intelligent Knowledge Extraction Framework for Recognizing Identification Information From Real-World ID Card Images.

[BibT_eX]

[DOI]