Yunhuai Liu

Venues

Frequent coauthors

Papers

1. CAMMSR: Category-Guided Attentive Mixture of Experts for Multimodal Sequential Recommendation
   ICDE 2026 ·

   Jinfeng Xu

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2. FilDeep: Learning Large Deformations of Elastic-Plastic Solids with Multi-Fidelity Data
   SIGKDD 2026 ·

   Jianheng Tang

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3. LMGL-WD: LLM-Guided Multi-Task Graph Learning for Category-Level Warehouse Demand Prediction in E-Commerce
   AAAI 2026 ·

   Wenjun Lyu

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4. STPWR: A Spatiotemporal Prediction-based Worker Pre-Recruitment Framework for Mobile Crowd Sensing
   WWW 2026 ·

   Guisong Yang

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5. Adaptive Multi-Faceted Service Capabilities Co-Prediction for Nationwide Terminal Stations in Logistics
   AAAI 2025 ·

   Shuxin Zhong

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6. AddrLLM: Address Rewriting via Large Language Model on Nationwide Logistics Data
   SIGKDD 2025 ·

   Qinchen Yang

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7. CDSRNP: Cross-Domain Sequential Recommendation via Neural Process
   SDM 2025 ·

   Haipeng Li

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8. CFSSeg: Closed-Form Solution for Class-Incremental Semantic Segmentation of 2D Images and 3D Point Clouds
   ACM MM 2025 ·

   Jiaxu Li

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9. Ciard: Cyclic Iterative Adversarial Robustness Distillation
   ICCV 2025 ·

   Liming Lu

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10. D3-TR: Data-driven Daily Delivery Task Rescheduling for Cost-effective Last-mile Delivery
    CIKM 2025 ·

    Lidi Zhang

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11. EpiCoDe: Boosting Model Performance Beyond Training with Extrapolation and Contrastive Decoding
    ACL 2025 ·

    Mingxu Tao

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12. InCo: Exploring Inter-Trip Cooperation for Efficient Last-mile Delivery
    WWW 2025 ·

    Wenjun Lyu

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13. LaDEEP: A Deep Learning-based Surrogate Model for Large Deformation of Elastic-Plastic Solids
    SIGKDD 2025 ·

    Shilong Tao

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14. Language Models Resist Alignment: Evidence From Data Compression
    ACL 2025 ·

    Jiaming Ji

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15. Scalable Area Difficulty Assessment with Knowledge-enhanced AI for Nationwide Logistics Systems
    SIGKDD 2025 ·

    Zejun Xie

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16. Unisoma: A Unified Transformer-based Solver for Multi-Solid Systems
    ICML 2025 ·

    Shilong Tao

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17. MulSTE: A Multi-view Spatio-temporal Learning Framework with Heterogeneous Event Fusion for Demand-supply Prediction
    SIGKDD 2024 ·

    Li Lin

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