Yueqing Liang - RankMe

28 papers A* 2A 2B 4Journal 17Unranked 3

Year	Rank	Type	Title / Venue / Authors
2026	A*	`conf`	Benchmarking LLMs for Political Science: A United Nations Perspective. AAAI Yueqing Liang, Liangwei Yang, Chen Wang, Congying Xia, Rui Meng, Xiongxiao Xu, Haoran Wang, Ali Payani, Kai Shu
2026	A*	`conf`	Can Multimodal LLMs Perform Time Series Anomaly Detection? WWW Xiongxiao Xu, Haoran Wang, Yueqing Liang, Philip S. Yu, Yue Zhao, Kai Shu
2026	J	`jnl`	Rethinking Memory Mechanisms of Foundation Agents in the Second Half: A Survey. CoRR 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
2025	J	`jnl`	Benchmarking LLMs for Political Science: A United Nations Perspective. CoRR Yueqing Liang, Liangwei Yang, Chen Wang, Congying Xia, Rui Meng, Xiongxiao Xu, Haoran Wang, Ali Payani, Kai Shu
2025	J	`jnl`	Can Multimodal LLMs Perform Time Series Anomaly Detection? CoRR Xiongxiao Xu, Haoran Wang, Yueqing Liang, Philip S. Yu, Yue Zhao, Kai Shu
2025	B	`conf`	Confidence-Aware Fine-Tuning of Sequential Recommendation Systems Via Conformal Prediction. IEEE Big Data Chen Wang, Fangxin Wang, Ruocheng Guo, Yueqing Liang, Philip S. Yu
2025	B	`conf`	FABLE: Fairness Attack in Abusive Language Detection. IEEE Big Data Yueqing Liang, Lu Cheng, Ali Payani, Kai Shu
2025	—	`conf`	Graph-Sequential Alignment and Uniformity: Toward Enhanced Recommendation Systems. WWW (Companion Volume) Yuwei Cao, Liangwei Yang, Zhiwei Liu, Yuqing Liu, Chen Wang, Yueqing Liang, Hao Peng, Philip S. Yu
2025	B	`conf`	Piecing It All Together: Verifying Multi-Hop Multimodal Claims. COLING Haoran Wang, Aman Rangapur, Xiongxiao Xu, Yueqing Liang, Haroon Gharwi, Carl Yang, Kai Shu
2025	A	`conf`	SST: Multi-Scale Hybrid Mamba-Transformer Experts for Time Series Forecasting. CIKM Xiongxiao Xu, Canyu Chen, Yueqing Liang, Baixiang Huang, Guangji Bai, Liang Zhao, Kai Shu
2025	B	`conf`	Taxonomy-Guided Zero-Shot Recommendations with LLMs. COLING Yueqing Liang, Liangwei Yang, Chen Wang, Xiongxiao Xu, Philip S. Yu, Kai Shu
2024	A	`conf`	Collaborative Alignment for Recommendation. CIKM Chen Wang, Liangwei Yang, Zhiwei Liu, Xiaolong Liu, Mingdai Yang, Yueqing Liang, Philip S. Yu
2024	J	`jnl`	Confidence-aware Fine-tuning of Sequential Recommendation Systems via Conformal Prediction. CoRR Chen Wang, Fangxin Wang, Ruocheng Guo, Yueqing Liang, Kay Liu, Philip S. Yu
2024	J	`jnl`	Graph-Sequential Alignment and Uniformity: Toward Enhanced Recommendation Systems. CoRR Yuwei Cao, Liangwei Yang, Zhiwei Liu, Yuqing Liu, Chen Wang, Yueqing Liang, Hao Peng, Philip S. Yu
2024	J	`jnl`	Integrating Mamba and Transformer for Long-Short Range Time Series Forecasting. CoRR Xiongxiao Xu, Yueqing Liang, Baixiang Huang, Zhiling Lan, Kai Shu
2024	—	`conf`	Investigating Gender Euphoria and Dysphoria on TikTok: Characterization and Comparison. ASONAM (3) SJ Dillon, Yueqing Liang, H. Russell Bernard, Kai Shu
2024	J	`jnl`	Piecing It All Together: Verifying Multi-Hop Multimodal Claims. CoRR Haoran Wang, Aman Rangapur, Xiongxiao Xu, Yueqing Liang, Haroon Gharwi, Carl Yang, Kai Shu
2024	J	`jnl`	Taxonomy-Guided Zero-Shot Recommendations with LLMs. CoRR Yueqing Liang, Liangwei Yang, Chen Wang, Xiongxiao Xu, Philip S. Yu, Kai Shu
2024	J	`jnl`	Understanding the concerns and choices of public when using large language models for healthcare. CoRR Yunpeng Xiao, Kyrie Zhixuan Zhou, Yueqing Liang, Kai Shu
2023	J	`jnl`	Beyond Detection: Unveiling Fairness Vulnerabilities in Abusive Language Models. CoRR Yueqing Liang, Lu Cheng, Ali Payani, Kai Shu
2023	J	`jnl`	Collaborative Contextualization: Bridging the Gap between Collaborative Filtering and Pre-trained Language Model. CoRR Chen Wang, Liangwei Yang, Zhiwei Liu, Xiaolong Liu, Mingdai Yang, Yueqing Liang, Philip S. Yu
2023	J	`jnl`	Investigating Gender Euphoria and Dysphoria on TikTok: Characterization and Comparison. CoRR SJ Dillon, Yueqing Liang, H. Russell Bernard, Kai Shu
2022	J	`jnl`	Artificial Intelligence Algorithms for Treatment of Diabetes. Algorithms Mudassir M. Rashid, Mohammad-Reza Askari, Canyu Chen, Yueqing Liang, Kai Shu, Ali Cinar
2022	J	`jnl`	Fair classification via domain adaptation: A dual adversarial learning approach. Frontiers Big Data Yueqing Liang, Canyu Chen, Tian Tian, Kai Shu
2022	J	`jnl`	Joint Adversarial Learning for Cross-domain Fair Classification. CoRR Yueqing Liang, Canyu Chen, Tian Tian, Kai Shu
2022	J	`jnl`	On Fair Classification with Mostly Private Sensitive Attributes. CoRR Canyu Chen, Yueqing Liang, Xiongxiao Xu, Shangyu Xie, Yuan Hong, Kai Shu
2021	—	`conf`	Pre-training Graph Neural Network for Cross Domain Recommendation. CogMI Chen Wang, Yueqing Liang, Zhiwei Liu, Tao Zhang, Philip S. Yu
2021	J	`jnl`	Pre-training Graph Neural Network for Cross Domain Recommendation. CoRR Chen Wang, Yueqing Liang, Zhiwei Liu, Tao Zhang, Philip S. Yu