Wenbiao Ding

According to our database1, Wenbiao Ding authored at least 34 papers between 2014 and 2024.

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

Timeline

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Links

On csauthors.net:

Bibliography

2024
Towards Truthful Multilingual Large Language Models: Benchmarking and Alignment Strategies.
CoRR, 2024

2022
Representation Learning From Limited Educational Data With Crowdsourced Labels.
IEEE Trans. Knowl. Data Eng., 2022

NeuCrowd: neural sampling network for representation learning with crowdsourced labels.
Knowl. Inf. Syst., 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

Towards the Memorization Effect of Neural Networks in Adversarial Training.
CoRR, 2021

Temporal-aware Language Representation Learning From Crowdsourced Labels.
Proceedings of the 6th Workshop on Representation Learning for NLP, 2021

Robust Learning for Text Classification with Multi-source Noise Simulation and Hard Example Mining.
Proceedings of the Machine Learning and Knowledge Discovery in Databases. Applied Data Science Track, 2021

Learning with Noisy Correspondence for Cross-modal Matching.
Proceedings of the Advances in Neural Information Processing Systems 34: Annual Conference on Neural Information Processing Systems 2021, 2021

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

Automatic Task Requirements Writing Evaluation via Machine Reading Comprehension.
Proceedings of the Artificial Intelligence in Education - 22nd International Conference, 2021

Solving ESL Sentence Completion Questions via Pre-trained Neural Language Models.
Proceedings of the Artificial Intelligence in Education - 22nd International Conference, 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

OpenMEVA: A Benchmark for Evaluating Open-ended Story Generation Metrics.
Proceedings of the 59th Annual Meeting of the Association for Computational Linguistics and the 11th International Joint Conference on Natural Language Processing, 2021

Long Text Generation by Modeling Sentence-Level and Discourse-Level Coherence.
Proceedings of the 59th Annual Meeting of the Association for Computational Linguistics and the 11th International Joint Conference on Natural Language Processing, 2021

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

Mathematical Word Problem Generation from Commonsense Knowledge Graph and Equations.
CoRR, 2020

Dolphin: A Spoken Language Proficiency Assessment System for Elementary Education.
Proceedings of the WWW '20: The Web Conference 2020, Taipei, Taiwan, April 20-24, 2020, 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

Automatic Dialogic Instruction Detection for K-12 Online One-on-One Classes.
Proceedings of the Artificial Intelligence in Education - 21st International Conference, 2020

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

Neural Multi-task Learning for Teacher Question Detection in Online Classrooms.
Proceedings of the Artificial Intelligence in Education - 21st International Conference, 2020

2019
Dolphin: A Verbal Fluency Evaluation System for Elementary Education.
CoRR, 2019

Learning Effective Embeddings From Crowdsourced Labels: An Educational Case Study.
Proceedings of the 35th IEEE International Conference on Data Engineering, 2019

Automatic Short Answer Grading via Multiway Attention Networks.
Proceedings of the Artificial Intelligence in Education - 20th International Conference, 2019

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

2018
K-mer Counting: memory-efficient strategy, parallel computing and field of application for Bioinformatics.
Proceedings of the IEEE International Conference on Bioinformatics and Biomedicine, 2018

2017
ROPOB: Obfuscating Binary Code via Return Oriented Programming.
Proceedings of the Security and Privacy in Communication Networks, 2017

2014
Automatic construction of printable return-oriented programming payload.
Proceedings of the 9th International Conference on Malicious and Unwanted Software: The Americas MALWARE 2014, 2014


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