YY
Yong Yu
cs.AIcs.LGcs.IRcs.CLstat.MLcs.CVcs.MAcs.ROcs.CYcs.SE
On Valency
published · living versionsW_a488rmn2·v1 · currentpublished
Plate-YOLO: An End-to-End Object Detection Framework for Robust Astrometric Registration of Historical Plates
with Quanfeng Xu, Zhengjun Shang, Shiyin Shen, Mingyang Ma +4
1 version
Preprints & journals
133 papers in the corpus · 2010–2026DiffCold: A Diffusion-based Generative Model for Cold-Start Item Recommendation2606.12245v1 · Kangning Zhang, Yingjie Qin, Weinan Zhang et al.2026 · 0 citationsarXiv
CATArena: Evaluating Evolutionary Capabilities of Code Agents via Iterative Tournaments2510.26852v2 · Lingyue Fu, Xin Ding, Linyue Pan et al.2025 · 0 citationsarXiv
The value of low-energy images combined with deep learning image reconstruction to improve image quality, reduce radiation and contrast doses in dual-energy computed tomography (CT) portal venography in cirrhotic patients.41297158 · Li, M, Jia, Y, Fan, L et al.2026 · 0 citationsClinical radiology. 2026;92:107139
DebugTA: An LLM-Based Agent for Simplifying Debugging and Teaching in Programming Education2510.11076v1 · Lingyue Fu, Haowei Yuan, Datong Chen et al.2025 · 0 citationsarXiv
A Survey of Process Reward Models: From Outcome Signals to Process Supervisions for Large Language Models2510.08049v3 · Congmin Zheng, Jiachen Zhu, Zhuoying Ou et al.2025 · 1 citationarXiv
Stop DDoS Attacking the Research Community with AI-Generated Survey Papers2510.09686v1 · Jianghao Lin, Rong Shan, Jiachen Zhu et al.2025 · 2 citationsarXiv
Manipulation as in Simulation: Enabling Accurate Geometry Perception in Robots2509.02530v1 · Minghuan Liu, Zhengbang Zhu, Xiaoshen Han et al.2025 · 0 citationsarXiv
A Survey of LLM-based Deep Search Agents: Paradigm, Optimization, Evaluation, and Challenges2508.05668v3 · Yunjia Xi, Jianghao Lin, Yongzhao Xiao et al.2025 · 0 citationsarXiv
MassTool: A Multi-Task Search-Based Tool Retrieval Framework for Large Language Models2507.00487v2 · Jianghao Lin, Xinyuan Wang, Xinyi Dai et al.2025 · 0 citationsarXiv
Generative Representational Learning of Foundation Models for Recommendation2506.11999v3 · Zheli Zhou, Chenxu Zhu, Jianghao Lin et al.2025 · 1 citationarXiv
Large Language Models are Demonstration Pre-Selectors for Themselves2506.06033v1 · Jiarui Jin, Yuwei Wu, Haoxuan Li et al.2025 · 0 citationsarXiv
A Survey of AI Agent Protocols2504.16736v3 · Yingxuan Yang, Huacan Chai, Yuanyi Song et al.2025 · 10 citationsarXiv
AdvKT: An Adversarial Multi-Step Training Framework for Knowledge Tracing2504.04706v2 · Lingyue Fu, Ting Long, Jianghao Lin et al.2025 · 0 citationsarXiv
Retrieval-Augmented Process Reward Model for Generalizable Mathematical Reasoning2502.14361v1 · Jiachen Zhu, Congmin Zheng, Jianghao Lin et al.2025 · 0 citationsarXiv
Boost, Disentangle, and Customize: A Robust System2-to-System1 Pipeline for Code Generation2502.12492v1 · Kounianhua Du, Hanjing Wang, Jianxing Liu et al.2025 · 0 citationsarXiv
D4W: Dependable Data-Driven Dynamics for Wheeled Robots2411.09360v1 · Yunfeng Lin, Minghuan Liu, Yong Yu2024 · 0 citationsarXiv
Unleashing the Potential of Multi-Channel Fusion in Retrieval for Personalized Recommendations2410.16080v1 · Junjie Huang, Jiarui Qin, Jianghao Lin et al.2024 · 3 citationsarXiv
World Model-based Perception for Visual Legged Locomotion2409.16784v1 · Hang Lai, Jiahang Cao, Jiafeng Xu et al.2024 · 11 citationsarXiv
A Survey on Diffusion Models for Recommender Systems2409.05033v2 · Jianghao Lin, Jiaqi Liu, Jiachen Zhu et al.2024 · 5 citationsarXiv
Efficient and Deployable Knowledge Infusion for Open-World Recommendations via Large Language Models2408.10520v1 · Yunjia Xi, Weiwen Liu, Jianghao Lin et al.2024 · 1 citationarXiv
Efficiency Unleashed: Inference Acceleration for LLM-based Recommender Systems with Speculative Decoding2408.05676v2 · Yunjia Xi, Hangyu Wang, Bo Chen et al.2024 · 5 citationsarXiv
Lifelong Personalized Low-Rank Adaptation of Large Language Models for Recommendation2408.03533v2 · Jiachen Zhu, Jianghao Lin, Xinyi Dai et al.2024 · 3 citationsarXiv
A Comprehensive Survey on Retrieval Methods in Recommender Systems2407.21022v2 · Junjie Huang, Jizheng Chen, Jianghao Lin et al.2024 · 12 citationsarXiv
MemoCRS: Memory-enhanced Sequential Conversational Recommender Systems with Large Language Models2407.04960v1 · Yunjia Xi, Weiwen Liu, Jianghao Lin et al.2024 · 17 citationsarXiv
SINKT: A Structure-Aware Inductive Knowledge Tracing Model with Large Language Model2407.01245v2 · Lingyue Fu, Hao Guan, Kounianhua Du et al.2024 · 35 citationsarXiv
Large Language Models Make Sample-Efficient Recommender Systems2406.02368v1 · Jianghao Lin, Xinyi Dai, Rong Shan et al.2024 · 13 citationsarXiv
CodeGRAG: Bridging the Gap between Natural Language and Programming Language via Graphical Retrieval Augmented Generation2405.02355v4 · Kounianhua Du, Jizheng Chen, Renting Rui et al.2024 · 1 citationarXiv
Recall-Augmented Ranking: Enhancing Click-Through Rate Prediction Accuracy with Cross-Stage Data2404.09578v1 · Junjie Huang, Guohao Cai, Jieming Zhu et al.2024 · 0 citationsarXiv
Productively Deploying Emerging Models on Emerging Platforms: A Top-Down Approach for Testing and Debugging2404.09151v3 · Siyuan Feng, Jiawei Liu, Ruihang Lai et al.2024 · 1 citationarXiv
M-scan: A Multi-Scenario Causal-driven Adaptive Network for Recommendation2404.07581v2 · Jiachen Zhu, Yichao Wang, Jianghao Lin et al.2024 · 6 citationsarXiv
Play to Your Strengths: Collaborative Intelligence of Conventional Recommender Models and Large Language Models2403.16378v1 · Yunjia Xi, Weiwen Liu, Jianghao Lin et al.2024 · 1 citationarXiv
AlignRec: Aligning and Training in Multimodal Recommendations2403.12384v4 · Yifan Liu, Kangning Zhang, Xiangyuan Ren et al.2024 · 48 citationsarXiv
TRAD: Enhancing LLM Agents with Step-Wise Thought Retrieval and Aligned Decision2403.06221v1 · Ruiwen Zhou, Yingxuan Yang, Muning Wen et al.2024 · 6 citationsarXiv
Looking Ahead to Avoid Being Late: Solving Hard-Constrained Traveling Salesman Problem2403.05318v1 · Jingxiao Chen, Ziqin Gong, Minghuan Liu et al.2024 · 3 citationsarXiv
Towards Efficient and Effective Unlearning of Large Language Models for Recommendation2403.03536v2 · Hangyu Wang, Jianghao Lin, Bo Chen et al.2024 · 15 citationsarXiv
InfoRank: Unbiased Learning-to-Rank via Conditional Mutual Information Minimization2401.12553v1 · Jiarui Jin, Zexue He, Mengyue Yang et al.2024 · 2 citationsarXiv
Adaptive Control Strategy for Quadruped Robots in Actuator Degradation Scenarios2312.17606v1 · Xinyuan Wu, Wentao Dong, Hang Lai et al.2023 · 7 citationsarXiv
Adapting Large Language Models for Education: Foundational Capabilities, Potentials, and Challenges2401.08664v3 · Qingyao Li, Lingyue Fu, Weiming Zhang et al.2023 · 25 citationsarXiv
FLIP: Fine-grained Alignment between ID-based Models and Pretrained Language Models for CTR Prediction2310.19453v4 · Hangyu Wang, Jianghao Lin, Xiangyang Li et al.2023 · 18 citationsarXiv
ClickPrompt: CTR Models are Strong Prompt Generators for Adapting Language Models to CTR Prediction2310.09234v5 · Jianghao Lin, Bo Chen, Hangyu Wang et al.2023 · 45 citationsarXiv
GMOCAT: A Graph-Enhanced Multi-Objective Method for Computerized Adaptive Testing2310.07477v1 · Hangyu Wang, Ting Long, Liang Yin et al.2023 · 23 citationsarXiv
ROMO: Retrieval-enhanced Offline Model-based Optimization2310.07560v2 · Mingcheng Chen, Haoran Zhao, Yuxiang Zhao et al.2023 · 3 citationsarXiv
ReLLa: Retrieval-enhanced Large Language Models for Lifelong Sequential Behavior Comprehension in Recommendation2308.11131v6 · Jianghao Lin, Rong Shan, Chenxu Zhu et al.2023 · 65 citationsarXiv
Replace Scoring with Arrangement: A Contextual Set-to-Arrangement Framework for Learning-to-Rank2308.02860v2 · Jiarui Jin, Xianyu Chen, Weinan Zhang et al.2023 · 1 citationarXiv
MAP: A Model-agnostic Pretraining Framework for Click-through Rate Prediction2308.01737v1 · Jianghao Lin, Yanru Qu, Wei Guo et al.2023 · 30 citationsarXiv
Learning Multi-Agent Intention-Aware Communication for Optimal Multi-Order Execution in Finance2307.03119v1 · Yuchen Fang, Zhenggang Tang, Kan Ren et al.2023 · 10 citationsarXiv
Towards Open-World Recommendation with Knowledge Augmentation from Large Language Models2306.10933v4 · Yunjia Xi, Weiwen Liu, Jianghao Lin et al.2023 · 154 citationsarXiv
How Can Recommender Systems Benefit from Large Language Models: A Survey2306.05817v6 · Jianghao Lin, Xinyi Dai, Yunjia Xi et al.2023 · 238 citationsarXiv
Set-to-Sequence Ranking-based Concept-aware Learning Path Recommendation2306.04234v1 · Xianyu Chen, Jian Shen, Wei Xia et al.2023 · 20 citationsarXiv
Sim-to-Real Transfer for Quadrupedal Locomotion via Terrain Transformer2212.07740v2 · Hang Lai, Weinan Zhang, Xialin He et al.2022 · 21 citationsarXiv
Career total: 520 works. 133 are in this corpus.Showing the 50 most recent.
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