Peiyang Liu - RankMe

16 papers A* 1A 2B 2Journal 8Unranked 3

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	SQL-ASTRA: Alleviating Sparse Feedback in Agentic SQL via Column-Set Matching and Trajectory Aggregation. CoRR Long Li, Zhijian Zhou, Jiangxuan Long, Peiyang Liu, Weidi Xu, Zhe Wang, Shirui Pan, Chao Qu
2026	J	`jnl`	ToolSafe: Enhancing Tool Invocation Safety of LLM-based agents via Proactive Step-level Guardrail and Feedback. CoRR Yutao Mou, Zhangchi Xue, Lijun Li, Peiyang Liu, Shikun Zhang, Wei Ye, Jing Shao
2025	J	`jnl`	CORE: Lossless Compression for Retrieval-Augmented LLMs via Reinforcement Learning. CoRR Ziqiang Cui, Yunpeng Weng, Xing Tang, Peiyang Liu, Shiwei Li, Bowei He, Jiamin Chen, Xiuqiang He, Chen Ma
2025	A*	`conf`	Queries Are Not Alone: Clustering Text Embeddings for Video Search. SIGIR Peiyang Liu, Xi Wang, Ziqiang Cui, Wei Ye
2025	J	`jnl`	Semantic Retrieval Augmented Contrastive Learning for Sequential Recommendation. CoRR Ziqiang Cui, Yunpeng Weng, Xing Tang, Xiaokun Zhang, Dugang Liu, Shiwei Li, Peiyang Liu, Bowei He, Weihong Luo, Xiuqiang He, Chen Ma
2025	—	`conf`	Structural Reward Model: Enhancing Interpretability, Efficiency, and Scalability in Reward Modeling. EMNLP (Industry Track) Xiaoyu Liu, Di Liang, Hongyu Shan, Peiyang Liu, Yonghao Liu, Muling Wu, Yuntao Li, Xianjie Wu, Li Miao, Jiangrong Shen, Minlong Peng
2025	J	`jnl`	Structural Reward Model: Enhancing Interpretability, Efficiency, and Scalability in Reward Modeling. CoRR Xiaoyu Liu, Di Liang, Hongyu Shan, Peiyang Liu, Yonghao Liu, Muling Wu, Yuntao Li, Xianjie Wu, Li Miao, Jiangrong Shen, Minlong Peng
2025	J	`jnl`	Who Stole Your Data? A Method for Detecting Unauthorized RAG Theft. CoRR Peiyang Liu, Ziqiang Cui, Di Liang, Wei Ye
2024	J	`jnl`	Efficient recognition of fish feeding behavior: A novel two-stage framework pioneering intelligent aquaculture strategies. Comput. Electron. Agric. Kewei Cai, Zhipeng Yang, Tianyi Gao, Meng Liang, Peiyang Liu, Siyi Zhou, Hongshuai Pang, Ying Liu
2024	J	`jnl`	Unsupervised corrupt data detection for text training. Expert Syst. Appl. Peiyang Liu
2023	A	`conf`	Retrieval-Based Unsupervised Noisy Label Detection on Text Data. CIKM Peiyang Liu, Jinyu Yang, Lin Wang, Sen Wang, Yunlai Hao, Huihui Bai
2022	B	`conf`	Label Smoothing for Text Mining. COLING Peiyang Liu, Xiangyu Xi, Wei Ye, Shikun Zhang
2021	A	`conf`	Distilling Knowledge from BERT into Simple Fully Connected Neural Networks for Efficient Vertical Retrieval. CIKM Peiyang Liu, Xi Wang, Lin Wang, Wei Ye, Xiangyu Xi, Shikun Zhang
2021	—	`conf`	Improving Embedding-based Large-scale Retrieval via Label Enhancement. EMNLP (Findings) Peiyang Liu, Xi Wang, Sen Wang, Wei Ye, Xiangyu Xi, Shikun Zhang
2021	—	`conf`	QuadrupletBERT: An Efficient Model For Embedding-Based Large-Scale Retrieval. NAACL-HLT Peiyang Liu, Sen Wang, Xi Wang, Wei Ye, Shikun Zhang
2020	B	`conf`	Not All Synonyms Are Created Equal: Incorporating Similarity of Synonyms to Enhance Word Embeddings. IJCNN Peiyang Liu, Wei Ye, Xiangyu Xi, Tong Wang, Jinglei Zhang, Shikun Zhang