---
title: "Who cites Ying Shan — page 2 — 611 papers of our library"
description: "611 papers of the Elamur Research library cite the works of Ying Shan, found in their bibliographies · page 2 of 2 · 101–123; the most cited first."
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---
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# Who cites Ying Shan

682 citations of their works from 611 papers of our library (of the 149,439 whose bibliographies we read) · 123 with a page here, the most cited first · page 2 of 2 · 101–123 · [← Ying Shan](https://md.research.elamur.ai/free/en/authors/ying-shan/)

[← prev](https://md.research.elamur.ai/free/en/authors/ying-shan/cited-by/) [1](https://md.research.elamur.ai/free/en/authors/ying-shan/cited-by/) **2**

101. **[EgoMemory: Memory-Augmented Personalized Retrieval for Long-Context Egocentric Video](https://md.research.elamur.ai/free/en/papers/tang-2026-egomemory-memory-augmented-personalized-retrieval/) [Findings of the Association for Computational Linguistics](https://md.research.elamur.ai/free/en/venues/findings/)**Yuanmin Tang, Jue Zhang, Xiaoting Qin, et al.*2026*
102. **[Evaluating Discriminability of Vision-Language Models](https://md.research.elamur.ai/free/en/papers/muraoka-2026-evaluating-discriminability-vision-language-models/) [Language Resources and Evaluation Conference (LREC)](https://md.research.elamur.ai/free/en/venues/lrec/)**Masayasu Muraoka, Naoaki Okazaki*2026*
103. **[Evaluating Memory Capability in Continuous Lifelog Scenario](https://md.research.elamur.ai/free/en/papers/zheng-2026-evaluating-memory-capability-continuous-lifelog/) [Findings of the Association for Computational Linguistics](https://md.research.elamur.ai/free/en/venues/findings/)**Jianjie Zheng, Zhichen Liu, Zhanyu Shen, et al.*2026*
104. **[FactVerse: A Benchmark for Factual Consistency in Interleaved Image–Text Generation](https://md.research.elamur.ai/free/en/papers/shan-2026-factverse-benchmark-factual-consistency-interleaved/) [Annual Meeting of the Association for Computational Linguistics (ACL)](https://md.research.elamur.ai/free/en/venues/acl/)**Yubo Shan, Kun Zhang, Qiming Xu, et al.*2026*
105. **[FADE: Probing the Limits of VLMs on fine-grained OCR](https://md.research.elamur.ai/free/en/papers/shah-2026-fade-probing-limits-vlms-fine/) [Workshop on Advances in Language and Vision Research (ALVR)](https://md.research.elamur.ai/free/en/venues/alvr/)**Deep Shah, Nehal Kathrotia, Sanket Badhe*2026*
106. **[Fixing Semantic Blind Spots in Anchor Tokens of dMLLMs](https://md.research.elamur.ai/free/en/papers/xu-2026-fixing-semantic-blind-spots-anchor/) [Findings of the Association for Computational Linguistics](https://md.research.elamur.ai/free/en/venues/findings/)**Ruixuan Xu, Jiexi Xu, Qiyan Zhao, et al.*2026*
107. **[From Attenuation to Attention: Variational Information Flow Manipulation for Fine-Grained Visual Perception](https://md.research.elamur.ai/free/en/papers/zhu-2026-attenuation-attention-variational-information-flow/) [Findings of the Association for Computational Linguistics](https://md.research.elamur.ai/free/en/venues/findings/)**Jilong Zhu, Yang Feng*2026*
108. **[GaLa: Hypergraph-Guided Visual Language Models for Procedural Planning](https://md.research.elamur.ai/free/en/papers/wang-2026-gala-hypergraph-guided-visual-language/) [Findings of the Association for Computational Linguistics](https://md.research.elamur.ai/free/en/venues/findings/)**Kun Wang, Li Yiming, Mingcheng Qu, et al.*2026*
109. **[Ghost in the Shell: Synonym-Aware Logit Shaping Fingerprint for Copyright Protection of Large Vision-Language Models](https://md.research.elamur.ai/free/en/papers/zheng-2026-ghost-shell-synonym-aware-logit/) [Findings of the Association for Computational Linguistics](https://md.research.elamur.ai/free/en/venues/findings/)**Xiaofan Zheng, Xinghao Wang, Xiaojun Wan*2026*
110. **[GOAT: A Training Framework for Goal-Oriented Agent with Tools](https://md.research.elamur.ai/free/en/papers/min-2026-goat-training-framework-goal-oriented/) [Findings of the Association for Computational Linguistics](https://md.research.elamur.ai/free/en/venues/findings/)**Hyunji Min, Sangwon Jung, Junyoung Sung, et al.*2026*
111. **[HCMUS_TheFangs at NakbaArchiveClassifier Shared Task: Foundation Models and Advanced Training Strategies for Conflict Damage Classification](https://md.research.elamur.ai/free/en/papers/sy-2026-hcmus-thefangs-nakbaarchiveclassifier-shared-task/) [International Workshop on Nakba Narratives as Language Resources @ LREC](https://md.research.elamur.ai/free/en/venues/nakbanlp/)**Duy Minh Dao Sy, Trung Kiet Huynh, Nguyen Chi Tran, et al.*2026*
112. **[Language-Grounded Multi-Domain Image Translation via Semantic Difference Guidance](https://md.research.elamur.ai/free/en/papers/ryu-2026-language-grounded-multi-domain-image/) [Conference of the European Chapter of the Association for Computational Linguistics (EACL)](https://md.research.elamur.ai/free/en/venues/eacl/)**Jongwon Ryu, Joonhyung Park, Jaeho Han, et al.*2026*
113. **[Mind's Eye: A Benchmark of Visual Abstraction, Transformation and Composition for Multimodal LLMs](https://md.research.elamur.ai/free/en/papers/sinha-2026-mind-s-eye-benchmark-visual/) [Annual Meeting of the Association for Computational Linguistics (ACL)](https://md.research.elamur.ai/free/en/venues/acl/)**Rohit Sinha, Aditya Sanjiv Kanade, Sai Srinivas Kancheti, et al.*2026*
114. **[Multimodal Large Language Models for Multi-Subject In-Context Image Generation](https://md.research.elamur.ai/free/en/papers/zhou-2026-multimodal-large-language-models-multi/) [Annual Meeting of the Association for Computational Linguistics (ACL)](https://md.research.elamur.ai/free/en/venues/acl/)**Yucheng Zhou, Dubing Chen, Huan Zheng, et al.*2026*
115. **[RATION: Entropy-Driven Task-Adaptive Visual Attention Allocation Framework for Multimodal Reasoning](https://md.research.elamur.ai/free/en/papers/xu-2026-ration-entropy-driven-task-adaptive/) [Findings of the Association for Computational Linguistics](https://md.research.elamur.ai/free/en/venues/findings/)**Xingle Xu, Fanheng Kong, Dexian Cai, et al.*2026*
116. **[SceneAlign: Aligning Multimodal Reasoning to Scene Graphs in Complex Visual Scenes](https://md.research.elamur.ai/free/en/papers/wang-2026-scenealign-aligning-multimodal-reasoning-scene/) [Annual Meeting of the Association for Computational Linguistics (ACL)](https://md.research.elamur.ai/free/en/venues/acl/)**Chuhan Wang, Xintong Li, Jennifer Yuntong Zhang, et al.*2026*
117. **[SCMAPR: Self-Correcting Multi-Agent Prompt Refinement for Complex-Scenario Text-to-Video Generation](https://md.research.elamur.ai/free/en/papers/yang-2026-scmapr-self-correcting-multi-agent/) [Findings of the Association for Computational Linguistics](https://md.research.elamur.ai/free/en/venues/findings/)**Chengyi Yang, Pengzhen Li, Jiayin Qi, et al.*2026*
118. **[Spotlight and Shadow: Attention-Guided Dual-Anchor Introspective Decoding for MLLM Hallucination Mitigation](https://md.research.elamur.ai/free/en/papers/wu-2026-spotlight-shadow-attention-guided-dual/) [Findings of the Association for Computational Linguistics](https://md.research.elamur.ai/free/en/venues/findings/)**Yebo Wu, Han Jin, Zhijiang Guo, et al.*2026*
119. **[Towards Unified Multimodal Large Language Models: A survey](https://md.research.elamur.ai/free/en/papers/ma-2026-unified-multimodal-large-language-models/) [Findings of the Association for Computational Linguistics](https://md.research.elamur.ai/free/en/venues/findings/)**Xu Ma, Yitian Zhang, Yun Fu*2026*
120. **[Tricking Open-World Object Recognition Models: Uncertainty in Out-of-Distribution Detection](https://md.research.elamur.ai/free/en/papers/teillers-2026-tricking-open-world-object-recognition/) [Workshop on Towards Knowledgeable Foundation Models](https://md.research.elamur.ai/free/en/venues/knowfm/)**Wout Teillers, Matias Valdenegro-Toro*2026*
121. **[UMMF: Protecting Copyright of Large Vision-Language Models through Unlearning-based Multimodal Memorization Fingerprint](https://md.research.elamur.ai/free/en/papers/zheng-2026-ummf-protecting-copyright-large-vision/) [Annual Meeting of the Association for Computational Linguistics (ACL)](https://md.research.elamur.ai/free/en/venues/acl/)**Xiaofan Zheng, Xinghao Wang, Xiaojun Wan*2026*
122. **[VocalRep: Structure-Aware Vocal Representations for Multimodal Generation](https://md.research.elamur.ai/free/en/papers/shen-2026-vocalrep-structure-aware-vocal-representations/) [Findings of the Association for Computational Linguistics](https://md.research.elamur.ai/free/en/venues/findings/)**Da Shen, Zhenqiang Weng, Tianyu Liu, et al.*2026*
123. [**Survey of Tool Use in Large Language Models (大语言模型的工具使用综述) Acta Automatica Sinica (自动化学报)**Yining Zheng (郑逸宁), Zhen Yu (余镇), Bufan Li (李不凡), et al.*2025*](https://md.research.elamur.ai/free/en/papers/zheng-2025-tool-use-large/)

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