Yueqing Liang

According to our database, Yueqing Liang authored at least 23 papers between 2021 and 2026.

Collaborative distances:

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

2026

Scaling Teams or Scaling Time? Memory Enabled Lifelong Learning in LLM Multi-Agent Systems.

Shanglin Wu, Yuyang Luo, Yueqing Liang, Kaiwen Shi, Yanfang Ye, Ali Payani, Kai Shu

CoRR, April, 2026

Rethinking Memory Mechanisms of Foundation Agents in the Second Half: A Survey.

Wei-Chieh Huang, Weizhi Zhang, Yueqing Liang, Yuanchen Bei, Yankai Chen, Tao Feng, Xinyu Pan, Zhen Tan, Yu Wang, Tianxin Wei, Shanglin Wu, Ruiyao Xu, Liangwei Yang, Rui Yang, Wooseong Yang, Chin-Yuan Yeh, Hanrong Zhang, Haozhen Zhang, Siqi Zhu, Henry Peng Zou, Wanjia Zhao, Song Wang, Wujiang Xu, Zixuan Ke, Zheng Hui, Dawei Li, Yaozu Wu, Langzhou He, Chen Wang, Xiongxiao Xu, Baixiang Huang, Juntao Tan, Shelby Heinecke, Huan Wang, Caiming Xiong, Ahmed A. Metwally, Jun Yan, Chen-Yu Lee, Hanqing Zeng, Yinglong Xia, Xiaokai Wei, Ali Payani, Yu Wang, Haitong Ma, Wenya Wang, Chenguang Wang, Yu Zhang, Xin Wang, Yongfeng Zhang, Jiaxuan You, Hanghang Tong, Xiao Luo, Xue Liu, Yizhou Sun, Wei Wang, Julian J. McAuley, James Zou, Jiawei Han, Philip S. Yu, Kai Shu

CoRR, February, 2026

Can Multimodal LLMs Perform Time Series Anomaly Detection?

Xiongxiao Xu, Haoran Wang, Yueqing Liang, Philip S. Yu, Yue Zhao, Kai Shu

Proceedings of the ACM Web Conference 2026, 2026

Benchmarking LLMs for Political Science: A United Nations Perspective.

Yueqing Liang, Liangwei Yang, Chen Wang, Congying Xia, Rui Meng, Xiongxiao Xu, Haoran Wang, Ali Payani, Kai Shu

Proceedings of the Fortieth AAAI Conference on Artificial Intelligence, 2026

2025

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

Proceedings of the Companion Proceedings of the ACM on Web Conference 2025, 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

SST: Multi-Scale Hybrid Mamba-Transformer Experts for Time Series Forecasting.

Xiongxiao Xu, Canyu Chen, Yueqing Liang, Baixiang Huang, Guangji Bai, Liang Zhao, Kai Shu

Proceedings of the 34th ACM International Conference on Information and Knowledge Management, 2025

FABLE: Fairness Attack in Abusive Language Detection.

Yueqing Liang, Lu Cheng, Ali Payani, Kai Shu

Proceedings of the IEEE International Conference on Big Data, 2025

Confidence-Aware Fine-Tuning of Sequential Recommendation Systems Via Conformal Prediction.

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

Proceedings of the IEEE International Conference on Big Data, 2025

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

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

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

Proceedings of the Social Networks Analysis and Mining - 16th International Conference, 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

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