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Hao Wang

University of Science and Technology of China, School of Computer Science and Technology, Anhui Province Key Laboratory of Big Data Analysis and Application, Hefei, China

28 papers at tracked venues · 25 at CORE A* · active 2024–2026

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Venues

WWW ×6SIGKDD ×5NeurIPS ×4ACL ×3SIGIR ×3AAAI ×2EMNLP ×2ACM MM ×1CIKM ×1ICML ×1

Frequent coauthors

Weibo Gao
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Wenjia Xie
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Jiaqing Zhang
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Mingjia Yin
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Hang Lv
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Xuyang Zhi
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Haocheng Yu
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Jiancheng Wang
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Sheng Liang
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Kefan Wang
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Yufei Ye
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Luankang Zhang
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Papers

  1. Generative Data Transformation: From Mixed to Unified Data
    WWW 2026 ·
    Jiaqing Zhang
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  2. Learning from Emptiness: De-biasing Listwise Rerankers with Content-Agnostic Probability Calibration
    ACL 2026 ·
    Hang Lv
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  3. SPARD: Self-Paced Curriculum for RL Alignment via Integrating Reward Dynamics and Data Utility
    ACL 2026 ·
    Xuyang Zhi
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  4. Thought-Augmented Planning for LLM-Powered Interactive Recommender Agent
    SIGKDD 2026 ·
    Haocheng Yu
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  5. Understanding DNNs in Feature Interaction Models: A Dimensional Collapse Perspective
    SIGIR 2026 ·
    Jiancheng Wang
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  6. Adaptive Schema-aware Event Extraction with Retrieval-Augmented Generation
    EMNLP 2025 ·
    Sheng Liang
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  7. Agent4Edu: Generating Learner Response Data by Generative Agents for Intelligent Education Systems
    AAAI 2025 ·
    Weibo Gao
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  8. Breaking the Bottleneck: User-Specific Optimization and Real-Time Inference Integration for Sequential Recommendation
    SIGKDD 2025 ·
    Wenjia Xie
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  9. DLF: Enhancing Explicit-Implicit Interaction via Dynamic Low-Order-Aware Fusion for CTR Prediction
    SIGIR 2025 ·
    Kefan Wang
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  10. Denoising Programming Knowledge Tracing with a Code Graph-based Tuning Adaptor
    SIGKDD 2025 ·
    Weibo Gao
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  11. From Feature Interaction to Feature Generation: A Generative Paradigm of CTR Prediction Models
    ICML 2025 ·
    Mingjia Yin
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  12. FuXi-α: Scaling Recommendation Model with Feature Interaction Enhanced Transformer
    WWW 2025 ·
    Yufei Ye
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  13. Generative Large Recommendation Models: Emerging Trends in LLMs for Recommendation
    WWW 2025 · Hao Wang
  14. Killing Two Birds with One Stone: Unifying Retrieval and Ranking with a Single Generative Recommendation Model
    SIGIR 2025 ·
    Luankang Zhang
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  15. MIT: A Multi-Tower Information Transfer Framework Based on Hierarchical Task Relationship Modeling
    WWW 2025 ·
    Rui Zhou
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  16. Multi-granularity Interest Retrieval and Refinement Network for Long-Term User Behavior Modeling in CTR Prediction
    SIGKDD 2025 ·
    Xiang Xu
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  17. P-Law: Predicting Quantitative Scaling Law with Entropy Guidance in Large Recommendation Models
    NeurIPS 2025 ·
    Tingjia Shen
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  18. RAG-IGBench: Innovative Evaluation for RAG-based Interleaved Generation in Open-domain Question Answering
    NeurIPS 2025 ·
    Rongyang Zhang
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  19. RAPID: Efficient Retrieval-Augmented Long Text Generation with Writing Planning and Information Discovery
    ACL 2025 ·
    Hongchao Gu
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  20. SelfAug: Mitigating Catastrophic Forgetting in Retrieval-Augmented Generation via Distribution Self-Alignment
    EMNLP 2025 ·
    Yuqing Huang
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  21. TD3: Tucker Decomposition Based Dataset Distillation Method for Sequential Recommendation
    WWW 2025 ·
    Jiaqing Zhang
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  22. A Multi-scale Feature Learning Network with Optical Flow Correction for Micro- and Macro-expression Spotting
    ACM MM 2024 ·
    Zhengye Zhang
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  23. Breaking Determinism: Fuzzy Modeling of Sequential Recommendation Using Discrete State Space Diffusion Model
    NeurIPS 2024 ·
    Wenjia Xie
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  24. Bridging User Dynamics: Transforming Sequential Recommendations with Schrödinger Bridge and Diffusion Models
    CIKM 2024 ·
    Wenjia Xie
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  25. Collaborative Cognitive Diagnosis with Disentangled Representation Learning for Learner Modeling
    NeurIPS 2024 ·
    Weibo Gao
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  26. Dataset Regeneration for Sequential Recommendation
    SIGKDD 2024 ·
    Mingjia Yin
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  27. Efficient Noise-Decoupling for Multi-Behavior Sequential Recommendation
    WWW 2024 ·
    Yongqiang Han
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  28. Zero-1-to-3: Domain-Level Zero-Shot Cognitive Diagnosis via One Batch of Early-Bird Students towards Three Diagnostic Objectives
    AAAI 2024 ·
    Weibo Gao
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