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Author

Lyuxin Xue

Observed name: Xue, Lyuxin
Observed institution: Fudan University
ORCID: 0000-0001-9433-9176
Observed ORCID: 0000-0001-9433-9176
OpenAlex ID: A5077953276
Generating Knowledge-Based Attentive User Representations for Sparse Interaction Recommendation
2020 · Deqing Yang, Chenlu Shen, et al. · IEEE Transactions on Knowledge and Data Engineering · 12
Learning Dual-view User Representations for Enhanced Sequential Recommendation
2022 · Lyuxin Xue, Deqing Yang, et al. · ACM Transactions on Information Systems · 11
Factorial User Modeling with Hierarchical Graph Neural Network for Enhanced Sequential Recommendation
2022 · Lyuxin Xue, Deqing Yang, et al. · IEEE International Conference on Multimedia and Expo (ICME) · 6
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Ming-Omni: A Unified Multimodal Model for Perception and Generation
2025 · AI, Inclusion, Gong, Biao, et al. · arXiv (Cornell University) · 1
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Co-refining User and Item Representations with Feature-level Self-attention for Enhanced Recommendation
2020 · Zikai Guo, Deqing Yang, et al. · IEEE/ACM International Conference on Advances in Social Networks Analysis and Mining (ASONAM) · 1
How to Train a Real-World Silicon Concierge? Internalizing Complex Business Workflow to Only OneModel
2026 · Liu, Chang, Ning, Chaoyang, et al. · arXiv (Cornell University)
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How to Train a Real-World Silicon Concierge? Internalizing Complex Business Workflow to Only OneModel
2026 · Association for Computational Linguistics 2026, Feng, Xiaoyun, et al. · Underline Science Inc.
How to Train a Real-World Silicon Concierge? Internalizing Complex Business Workflow to Only OneModel
2026 · Yongqi Tong, Xiaoyun Feng, et al. · Proceedings of the conference - Association for Computational Linguistics. Meeting
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BenchCompass: From Scores to Signals for Training and Harness Decisions in Payment-Domain LLMs
2026 · Sijie Dong, Wei Ren, et al. · Findings of the Association for Computational Linguistics: EMNLP (Findings of EMNLP)
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CoEvoLoop: Closed-Loop RL Training of Customer-Service Agents by Co-Evolving Environment, Reward, and Policy
2026 · Hui Cai, Jianda Chen, et al. · Conference on Empirical Methods in Natural Language Processing: System Demonstrations (EMNLP)
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Works count: 10
Citation count: 31
H-index: 3
I10-index: 2
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