Xinying Qian

According to our database, Xinying Qian authored at least 9 papers between 2024 and 2026.

Collaborative distances:

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

2026

SMIR: Span-based multi-grained information refinement for joint multimodal entity-relation extraction.

Xuhui Sui, Ying Zhang, Yu Zhao, Baohang Zhou, Xinying Qian, Wenya Guo, Xiaojie Yuan

Inf. Process. Manag., 2026

Hyperbolic Multimodal Generative Representation Learning for Generalized Zero-Shot Multimodal Information Extraction.

Baohang Zhou, Kehui Song, Rize Jin, Yu Zhao, Xuhui Sui, Xinying Qian, Xingyue Guo, Ying Zhang

Proceedings of the ACM Web Conference 2026, 2026

Beyond Timestamps: Bridging Forward and Backward Reasoning in Temporal Numerical and Relational Understanding.

Xinying Qian, Ying Zhang, Xuhui Sui, Yu Zhao, Baohang Zhou, Jeff Z. Pan

Proceedings of the 64th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2026

Grow-on-Demand: Sparse and Adaptive Expert Expansion for Continual Instruction Tuning.

Ying Zhang, Xingyue Guo, Yu Zhao, Xuhui Sui, Baohang Zhou, Xinying Qian, Xiaojie Yuan

Proceedings of the Fortieth AAAI Conference on Artificial Intelligence, 2026

2025

Plan of Knowledge: Retrieval-Augmented Large Language Models for Temporal Knowledge Graph Question Answering.

Xinying Qian, Ying Zhang, Yu Zhao, Baohang Zhou, Xuhui Sui, Xiaojie Yuan

CoRR, November, 2025

Few-shot temporal knowledge graph completion based on query-adaptive Mamba-enhanced temporal relation learning.

Xingyue Guo, Ying Zhang, Yu Zhao, Baohang Zhou, Xuhui Sui, Xinying Qian, Xiaojie Yuan

Knowl. Based Syst., 2025

2024

Contrast then Memorize: Semantic Neighbor Retrieval-Enhanced Inductive Multimodal Knowledge Graph Completion.

Yu Zhao, Ying Zhang, Baohang Zhou, Xinying Qian, Kehui Song, Xiangrui Cai

Proceedings of the 47th International ACM SIGIR Conference on Research and Development in Information Retrieval, 2024

TimeR⁴ : Time-aware Retrieval-Augmented Large Language Models for Temporal Knowledge Graph Question Answering.

Xinying Qian, Ying Zhang, Yu Zhao, Baohang Zhou, Xuhui Sui, Li Zhang, Kehui Song

Proceedings of the 2024 Conference on Empirical Methods in Natural Language Processing, 2024

Bring Invariant to Variant: A Contrastive Prompt-based Framework for Temporal Knowledge Graph Forecasting.

Ying Zhang, Xinying Qian, Yu Zhao, Baohang Zhou, Kehui Song, Xiaojie Yuan

Proceedings of the 2024 Joint International Conference on Computational Linguistics, 2024