Yueqing Liang

According to our database, Yueqing Liang authored at least 16 papers between 2021 and 2025.

Collaborative distances:

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

2025

Piecing It All Together: Verifying Multi-Hop Multimodal Claims.

Haoran Wang, Aman Rangapur, Xiongxiao Xu, Yueqing Liang, Haroon Gharwi, Carl Yang, Kai Shu

Proceedings of the 31st International Conference on Computational Linguistics, 2025

Taxonomy-Guided Zero-Shot Recommendations with LLMs.

Yueqing Liang, Liangwei Yang, Chen Wang, Xiongxiao Xu, Philip S. Yu, Kai Shu

Proceedings of the 31st International Conference on Computational Linguistics, 2025

2024

Graph-Sequential Alignment and Uniformity: Toward Enhanced Recommendation Systems.

Yuwei Cao, Liangwei Yang, Zhiwei Liu, Yuqing Liu, Chen Wang, Yueqing Liang, Hao Peng, Philip S. Yu

CoRR, 2024

Integrating Mamba and Transformer for Long-Short Range Time Series Forecasting.

Xiongxiao Xu, Yueqing Liang, Baixiang Huang, Zhiling Lan, Kai Shu

CoRR, 2024

Confidence-aware Fine-tuning of Sequential Recommendation Systems via Conformal Prediction.

Chen Wang, Fangxin Wang, Ruocheng Guo, Yueqing Liang, Kay Liu, Philip S. Yu

CoRR, 2024

Understanding the concerns and choices of public when using large language models for healthcare.

Yunpeng Xiao, Kyrie Zhixuan Zhou, Yueqing Liang, Kai Shu

CoRR, 2024

Collaborative Alignment for Recommendation.

Chen Wang, Liangwei Yang, Zhiwei Liu, Xiaolong Liu, Mingdai Yang, Yueqing Liang, Philip S. Yu

Proceedings of the 33rd ACM International Conference on Information and Knowledge Management, 2024

2023

Beyond Detection: Unveiling Fairness Vulnerabilities in Abusive Language Models.

Yueqing Liang, Lu Cheng, Ali Payani, Kai Shu

CoRR, 2023

Collaborative Contextualization: Bridging the Gap between Collaborative Filtering and Pre-trained Language Model.

Chen Wang, Liangwei Yang, Zhiwei Liu, Xiaolong Liu, Mingdai Yang, Yueqing Liang, Philip S. Yu

CoRR, 2023

Investigating Gender Euphoria and Dysphoria on TikTok: Characterization and Comparison.

SJ Dillon, Yueqing Liang, H. Russell Bernard, Kai Shu

CoRR, 2023

2022

Fair classification via domain adaptation: A dual adversarial learning approach.

Yueqing Liang, Canyu Chen, Tian Tian, Kai Shu

Frontiers Big Data, 2022

On Fair Classification with Mostly Private Sensitive Attributes.

Canyu Chen, Yueqing Liang, Xiongxiao Xu, Shangyu Xie, Yuan Hong, Kai Shu

CoRR, 2022

Joint Adversarial Learning for Cross-domain Fair Classification.

Yueqing Liang, Canyu Chen, Tian Tian, Kai Shu

CoRR, 2022

Artificial Intelligence Algorithms for Treatment of Diabetes.

Mudassir M. Rashid, Mohammad-Reza Askari, Canyu Chen, Yueqing Liang, Kai Shu, Ali Cinar

Algorithms, 2022

2021

Pre-training Graph Neural Network for Cross Domain Recommendation.

Chen Wang, Yueqing Liang, Zhiwei Liu, Tao Zhang, Philip S. Yu

CoRR, 2021

Pre-training Graph Neural Network for Cross Domain Recommendation.

Chen Wang, Yueqing Liang, Zhiwei Liu, Tao Zhang, Philip S. Yu

Proceedings of the Third IEEE International Conference on Cognitive Machine Intelligence, 2021