Hang Li

Orcid: 0000-0002-3464-3245

Affiliations:
  • TAL Education Group, TAL AI Lab, Beijing, China


According to our database1, Hang Li authored at least 14 papers between 2019 and 2023.

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

Timeline

Legend:

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Article 
PhD thesis 
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Links

Online presence:

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Bibliography

2023
Graph-level Representation Learning with Joint-Embedding Predictive Architectures.
CoRR, 2023

2022
Self-Supervised Audio-and-Text Pre-training with Extremely Low-Resource Parallel Data.
Proceedings of the Thirty-Sixth AAAI Conference on Artificial Intelligence, 2022

2021
CTAL: Pre-training Cross-modal Transformer for Audio-and-Language Representations.
CoRR, 2021

Learning Fine-Grained Cross Modality Excitement for Speech Emotion Recognition.
Proceedings of the Interspeech 2021, 22nd Annual Conference of the International Speech Communication Association, Brno, Czechia, 30 August, 2021

Mathematical Word Problem Generation from Commonsense Knowledge Graph and Equations.
Proceedings of the 2021 Conference on Empirical Methods in Natural Language Processing, 2021

CTAL: Pre-training Cross-modal Transformer for Audio-and-Language Representations.
Proceedings of the 2021 Conference on Empirical Methods in Natural Language Processing, 2021

A Multimodal Machine Learning Framework for Teacher Vocal Delivery Evaluation.
Proceedings of the Artificial Intelligence in Education - 22nd International Conference, 2021

Multi-task Learning Based Online Dialogic Instruction Detection with Pre-trained Language Models.
Proceedings of the Artificial Intelligence in Education - 22nd International Conference, 2021

An Educational System for Personalized Teacher Recommendation in K-12 Online Classrooms.
Proceedings of the Artificial Intelligence in Education - 22nd International Conference, 2021

2020
Learning Fine-Grained Multimodal Alignment for Speech Emotion Recognition.
CoRR, 2020

Multimodal Learning for Classroom Activity Detection.
Proceedings of the 2020 IEEE International Conference on Acoustics, 2020

Identifying At-Risk K-12 Students in Multimodal Online Environments: A Machine Learning Approach.
Proceedings of the 13th International Conference on Educational Data Mining, 2020

Siamese Neural Networks for Class Activity Detection.
Proceedings of the Artificial Intelligence in Education - 21st International Conference, 2020

2019
A Multimodal Alerting System for Online Class Quality Assurance.
Proceedings of the Artificial Intelligence in Education - 20th International Conference, 2019


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