Energy Consumption Data Based Machine Anomaly Detection. - Hui Chen; Xiang Fei; Sheng Wang 002; Xin Lu 005; Guoqing Jin; Weidong Li 001; Xuyang Wu 002 (CBD, 2014)

A Multi-task Learning Framework for Product Ranking with BERT. - Xuyang Wu 002; Alessandro Magnani; Suthee Chaidaroon; Ajit Puthenputhussery; Ciya Liao; Yi Fang 008 (WWW, 2022)

Soft Prompt Tuning for Augmenting Dense Retrieval with Large Language Models. - Zhiyuan Peng 001; Xuyang Wu 002; Yi Fang 008 (CoRR, 2023)

Do Large Language Models Rank Fairly? An Empirical Study on the Fairness of LLMs as Rankers. - Yuan Wang 076; Xuyang Wu 002; Hsin-Tai Wu; Zhiqiang Tao; Yi Fang 008 (NAACL-HLT, 2024)

Mathematical Foundation and Corrections for Full Range Head Pose Estimation. - Huei-Chung Hu; Xuyang Wu 002; Yuan Wang 076; Yi Fang 008; Hsin-Tai Wu (CoRR, 2024)

Q-PEFT: Query-dependent Parameter Efficient Fine-tuning for Text Reranking with Large Language Models. - Zhiyuan Peng 001; Xuyang Wu 002; Qifan Wang 001; Sravanthi Rajanala; Yi Fang 008 (CoRR, 2024)

Passage-specific Prompt Tuning for Passage Reranking in Question Answering with Large Language Models. - Xuyang Wu 002; Zhiyuan Peng 001; Sravanthi Rajanala; Hsin-Tai Wu; Yi Fang 008 (CoRR, 2024)

HPE-CogVLM: New Head Pose Grounding Task Exploration on Vision Language Model. - Yu Tian; Tianqi Shao; Tsukasa Demizu; Xuyang Wu 002; Hsin-Tai Wu (CoRR, 2024)

Evaluating Fairness in Large Vision-Language Models Across Diverse Demographic Attributes and Prompts. - Xuyang Wu 002; Yuan Wang 076; Hsin-Tai Wu; Zhiqiang Tao; Yi Fang 008 (CoRR, 2024)

Full-range Head Pose Geometric Data Augmentations. - Huei-Chung Hu; Xuyang Wu 002; Haowei Liu; Ting-Ruen Wei; Hsin-Tai Wu (CoRR, 2024)

CLERF: Contrastive LEaRning for Full Range Head Pose Estimation. - Ting-Ruen Wei; Haowei Liu; Huei-Chung Hu; Xuyang Wu 002; Yi Fang 008; Hsin-Tai Wu (CoRR, 2024)

ChainRank-DPO: Chain Rank Direct Preference Optimization for LLM Rankers. - Haowei Liu; Xuyang Wu 002; Guohao Sun; Zhiqiang Tao; Yi Fang 008 (CoRR, 2024)

Does RAG Introduce Unfairness in LLMs? Evaluating Fairness in Retrieval-Augmented Generation Systems. - Xuyang Wu 002; Shuowei Li; Hsin-Tai Wu; Zhiqiang Tao; Yi Fang 008 (COLING, 2025)

Soft prompt tuning for augmenting dense retrieval with large language models. - Zhiyuan Peng 001; Xuyang Wu 002; Qifan Wang 001; Yi Fang 008 (Knowl. Based Syst., 2025)

Meta-Learning to Rank for Sparsely Supervised Queries. - Xuyang Wu 002; Ajit Puthenputhussery; Hongwei Shang; Changsung Kang; Yi Fang 008 (ACM Trans. Inf. Syst., 2025)

A Survey on Feedback-based Multi-step Reasoning for Large Language Models on Mathematics. - Ting-Ruen Wei; Haowei Liu; Xuyang Wu 002; Yi Fang 008 (CoRR, 2025)

Evaluating Social Biases in LLM Reasoning. - Xuyang Wu 002; Jinming Nian; Zhiqiang Tao; Yi Fang 008 (CoRR, 2025)