Qingchun Bai

According to our database, Qingchun Bai authored at least 16 papers between 2018 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2024

Extracting entity and relationship interactions from danmaku-video comments using a neural bootstrapping framework.

Qingchun Bai, Mengmeng Tang, Yang Song, Jun Xiao

J. Supercomput., May, 2024

Let's Rectify Step by Step: Improving Aspect-based Sentiment Analysis with Diffusion Models.

Shunyu Liu, Jie Zhou, Qunxi Zhu, Qin Chen, Qingchun Bai, Jun Xiao, Liang He

Proceedings of the 2024 Joint International Conference on Computational Linguistics, 2024

2023

Trigger-free cybersecurity event detection based on contrastive learning.

Mengmeng Tang, Yuanbo Guo, Qingchun Bai, Han Zhang

J. Supercomput., December, 2023

CBKI: A confidence-based knowledge integration framework for multi-choice machine reading comprehension.

Xianghui Meng, Yang Song, Qingchun Bai, Taoyi Wang

Knowl. Based Syst., October, 2023

A weakly supervised knowledge attentive network for aspect-level sentiment classification.

Qingchun Bai, Jun Xiao, Jie Zhou

J. Supercomput., March, 2023

2022

PG-RNN: using position-gated recurrent neural networks for aspect-based sentiment classification.

Qingchun Bai, Jie Zhou, Liang He

J. Supercomput., 2022

Enhancing Event-Level Sentiment Analysis with Structured Arguments.

Qi Zhang, Jie Zhou, Qin Chen, Qingchun Bai, Liang He

Proceedings of the SIGIR '22: The 45th International ACM SIGIR Conference on Research and Development in Information Retrieval, Madrid, Spain, July 11, 2022

ECNU_ICA at SemEval-2022 Task 10: A Simple and Unified Model for Monolingual and Crosslingual Structured Sentiment Analysis.

Qi Zhang, Jie Zhou, Qin Chen, Qingchun Bai, Jun Xiao, Liang He

Proceedings of the 16th International Workshop on Semantic Evaluation, SemEval@NAACL 2022, 2022

A Knowledge-Enhanced Adversarial Model for Cross-lingual Structured Sentiment Analysis.

Qi Zhang, Jie Zhou, Qin Chen, Qingchun Bai, Jun Xiao, Liang He

Proceedings of the International Joint Conference on Neural Networks, 2022

Enhancing Class Understanding Via Prompt-Tuning For Zero-Shot Text Classification.

Yuhao Dan, Jie Zhou, Qin Chen, Qingchun Bai, Liang He

Proceedings of the IEEE International Conference on Acoustics, 2022

2021

Entity-level sentiment prediction in Danmaku video interaction.

Qingchun Bai, Kai Wei, Jie Zhou, Chao Xiong, Yuanbin Wu, Xin Lin, Liang He

J. Supercomput., 2021

Aligned variational autoencoder for matching danmaku and video storylines.

Qingchun Bai, Yuanbin Wu, Jie Zhou, Liang He

Neurocomputing, 2021

2019

Stories That Big Danmaku Data Can Tell as a New Media.

Qingchun Bai, Qinmin Vivian Hu, Linhui Ge, Liang He

IEEE Access, 2019

2018

Mining Temporal Discriminant Frames via Joint Matrix Factorization: A Case Study of Illegal Immigration in the U.S. News Media.

Qingchun Bai, Kai Wei, Mengwei Chen, Qinmin Hu, Liang He

Proceedings of the Knowledge Science, Engineering and Management, 2018

Topic Detection with Danmaku: A Time-Sync Joint NMF Approach.

Qingchun Bai, Qinmin Hu, Faming Fang, Liang He

Proceedings of the Database and Expert Systems Applications, 2018

ECNU at CLEF PIR 2018 : Evaluation of Personalized Information Retrieval.

Qingchun Bai, Qi Zhang, Qinmin Hu, Liang He

Proceedings of the Working Notes of CLEF 2018, 2018