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Yong Yu

CodeApex: A Bilingual Programming Evaluation Benchmark for Large Language Models
2023 · Fu, Lingyue, Chai, Huacan, et al. · arXiv (Cornell University) · 2
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DREAM: A Dual Representation Learning Model for Multimodal Recommendation
2024 · Zhang, Kangning, Qin, Yingjie, et al. · arXiv (Cornell University) · 1
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Optimized Hypergraph Clustering-based Network Security Log Mining*
2012 · Jianhua Che, Weimin Lin, et al. · Physics Procedia · 1
Retrieval-Driven Memory Reconsolidation for Long-Term LLM Agents
2026 · Song, Yuanyi, Wang, Yukai, et al. · arXiv (Cornell University)
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MOTOR: Learning ID-Free Item Representation with Token Crossing for Embedding-Based Multimodal Recommendation
2026 · Kangning Zhang, Jiarui Jin, et al. · Lecture notes in computer science
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What Makes Good Agentic Data? An ACE Lens on Data Generation for LLM Agents
2026 · Zeng, Xingshan, Xu, Zishan, et al. · arXiv (Cornell University)
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SEAM: Shot Entity-Attribute Memory for Consistent Short-Drama Generation at Scale
2026 · Liu, Jiaqi, Ran, Maolin, et al. · arXiv (Cornell University)
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SAGE: Self-Evolving Storyboard Skills via Attribution-Guided Rule Evolution
2026 · Ran, Maolin, Lu, Xiaoyang, et al. · arXiv (Cornell University)
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Learning from Unreachable Rewards: Hint-Conditioned Reinforcement Learning for Generative Recommendation
2026 · Zhang, Kangning, Fang, Haotian, et al. · arXiv (Cornell University)
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MARA: Flow-Matching-Guided Multi-Agent Resource Allocation for Computational Resource Efficient Learning
2026 · Zhao, Hanye, Wen, Muning, et al. · arXiv (Cornell University)
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Rethink Before You Execute: Adaptive Execution for World Action Models
2026 · Ye, Feng, Zhao, Yiming, et al. · arXiv (Cornell University)
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LatentSkill: From In-Context Textual Skills to In-Weight Latent Skills for LLM Agents
2026 · Yu, Aofan, Zhou, Chenyu, et al. · arXiv (Cornell University)
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DynaTree: Dynamic Agentic Retrieval Tree for Time-Sensitive News Retrieval
2026 · Qi, Siyuan, Wang, Xinyuan, et al. · arXiv (Cornell University)
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Contexting as Recommendation: Evolutionary Collaborative Filtering for Context Engineering
2026 · Zhu, Jiachen, Ou, Zhuoying, et al. · arXiv (Cornell University)
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SkillMAS: Skill Co-Evolution with LLM-based Multi-Agent System
2026 · Pan, Shuai, Liu, Yixiang, et al. · arXiv (Cornell University)
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AdverMCTS: Combating Pseudo-Correctness in Code Generation via Adversarial Monte Carlo Tree Search
2026 · Li, Qingyao, Liu, Weiwen, et al. · arXiv (Cornell University)
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Turing Test on Screen: A Benchmark for Mobile GUI Agent Humanization
2026 · Zhu, Jiachen, Yang, Lingyu, et al. · arXiv (Cornell University)
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Fints: Efficient Inference-Time Personalization for LLMs with Fine-Grained Instance-Tailored Steering
2025 · Du, Kounianhua, Liu, Jianxing, et al. · arXiv (Cornell University)
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A Feature-based Method for MBD Model Exchange among Heterogeneous CAD Systems
2016 · Weikang Xie, Gang Zhao, et al. · International Conference on Machinery, Materials and Information Technology Applications (ICMMITA)
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Privacy-preserving top-m Dk-Outlier Based Outlier Detection
2016 · Yun Ye, Yong Yu, et al. · Journal of Chinese Computer Systems
Research and implementation of MBD dataset definition based on association rules
2015 · Hong Wang, Yong Yu, et al. · Beijing Hangkong Hangtian Daxue xuebao
Geometrically related object model
2002 · Yu Yong, Guan Minren · IEEE International Conference on Intelligent Processing Systems
Works count: 24
Citation count: 5
H-index: 1
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