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Xiang Li

East China Normal University, School of Data Science and Engineering, Shanghai Engineering Research Center of Big Data Management, China

42 papers at tracked venues · 24 at CORE A* · active 2024–2026

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Venues

ACL ×8CIKM ×6EMNLP ×5SIGKDD ×5ECML-PKDD ×3SIGIR ×3AAAI ×2ICDE ×2WWW ×2ICDM ×1ICLR ×1NAACL ×1NeurIPS ×1RecSys ×1SDM ×1

Frequent coauthors

Yao Cheng
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Fengxiang Cheng
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Kangyang Luo
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Jianxiang Yu
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Ruidong Han
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Jiayi Wu
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Tiandi Ye
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Can Xu
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Yan Lyu
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Yuxiang Wang
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Xiaoyu Liu
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Hanqi Duan
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Papers

  1. Adversarial Yet Cooperative: Multi-Perspective Reasoning in Retrieved-Augmented Language Models
    ACL 2026 ·
    Can Xu
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  2. Hierarchical Denoising Entire Space Multi-Task Model for Post-Click Conversion Rate Prediction with Noisy Labels
    SIGIR 2026 ·
    Yan Lyu
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  3. Human Cognition Inspired RAG with Knowledge Graph for Complex Problem Solving
    AAAI 2026 ·
    Yao Cheng
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  4. MTGenRec: An Efficient Distributed Training System for Generative Recommendation Models in Meituan
    SIGKDD 2026 ·
    Yuxiang Wang
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  5. Optimizing Marketing Subsidies via Counterfactual Learning with Asymmetric Reward Function
    SIGIR 2026 · Xiang Li
  6. Text Embedding as Treatment: A Meta Causal Approach for Robust Sentiment Classification
    ACL 2026 ·
    Fengxiang Cheng
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  7. User Activity Modeling under Inflated Distribution
    SIGIR 2026 · Xiang Li
  8. A Soft-partitioned Semi-supervised Collaborative Transfer Learning Approach for Multi-Domain Recommendation
    CIKM 2025 ·
    Xiaoyu Liu
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  9. Can Large Language Models Act as Ensembler for Multi-GNNs?
    EMNLP 2025 ·
    Hanqi Duan
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  10. Demystifying Small Language Models for Edge Deployment
    ACL 2025 ·
    Zhenyan Lu
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  11. Enhancing LLM-based Hatred and Toxicity Detection with Meta-Toxic Knowledge Graph
    ACL 2025 ·
    Yibo Zhao
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  12. Having It Both Ways: Single Trajectory Embedding for Similarity Computation with Pairwise Learning
    ICDE 2025 ·
    Jianing Si
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  13. Hierarchical Vector Quantized Graph Autoencoder with Annealing-Based Code Selection
    WWW 2025 ·
    Long Zeng
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  14. Initializing and Retrofitting Key-Value Adaptors for Traceable Model Editing
    ACL 2025 ·
    Hanlun Zhu
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  15. Learning Prioritized Node-Wise Message Propagation in Graph Neural Networks (Extended Abstract)
    ICDE 2025 ·
    Yao Cheng
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  16. Let's Be Self-generated via Step by Step: A Curriculum Learning Approach to Automated Reasoning with Large Language Models
    ACL 2025 ·
    Kangyang Luo
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  17. Leveraging Large Language Models for Node Generation in Few-Shot Learning on Text-Attributed Graphs
    AAAI 2025 ·
    Jianxiang Yu
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  18. MTGR: Industrial-Scale Generative Recommendation Framework in Meituan
    CIKM 2025 ·
    Ruidong Han
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  19. Mitigating Spurious Correlations via Counterfactual Contrastive Learning
    EMNLP 2025 ·
    Fengxiang Cheng
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  20. Multi-level Relevance Document Identifier Learning for Generative Retrieval
    ACL 2025 ·
    Fuwei Zhang
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  21. PA-RAG: RAG Alignment via Multi-Perspective Preference Optimization
    NAACL 2025 ·
    Jiayi Wu
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  22. Permitted Knowledge Boundary: Evaluating the Knowledge-Constrained Responsiveness of Large Language Models
    EMNLP 2025 ·
    Wenrui Bao
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  23. RELIEF: Reinforcement Learning Empowered Graph Feature Prompt Tuning
    SIGKDD 2025 ·
    Jiapeng Zhu
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  24. Text Detoxification: Data Efficiency, Semantic Preservation and Model Generalization
    EMNLP 2025 ·
    Jing Yu
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  25. Towards Instance-wise Personalized Federated Learning via Semi-Implicit Bayesian Prompt Tuning
    CIKM 2025 ·
    Tiandi Ye
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  26. Variational Graph Autoencoder for Heterogeneous Information Networks with Missing and Inaccurate Attributes
    SIGKDD 2025 ·
    Yige Zhao
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  27. Aligning Explanations for Recommendation with Rating and Feature via Maximizing Mutual Information
    CIKM 2024 ·
    Yurou Zhao
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  28. Automated Peer Reviewing in Paper SEA: Standardization, Evaluation, and Analysis
    EMNLP 2024 ·
    Jianxiang Yu
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  29. Boosting Language Models Reasoning with Chain-of-Knowledge Prompting
    ACL 2024 ·
    Jianing Wang
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  30. Context-based Fast Recommendation Strategy for Long User Behavior Sequence in Meituan Waimai
    WWW 2024 ·
    Zhichao Feng
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  31. Cross-model Control: Improving Multiple Large Language Models in One-time Training
    NeurIPS 2024 ·
    Jiayi Wu
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  32. DFDG: Data-Free Dual-Generator Adversarial Distillation for One-Shot Federated Learning
    ICDM 2024 ·
    Kangyang Luo
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  33. Enhancing CTR Prediction through Sequential Recommendation Pre-training: Introducing the SRP4CTR framework
    CIKM 2024 ·
    Ruidong Han
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  34. GraphCBAL: Class-Balanced Active Learning for Graph Neural Networks via Reinforcement Learning
    CIKM 2024 ·
    Chengcheng Yu
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  35. HetCAN: A Heterogeneous Graph Cascade Attention Network with Dual-Level Awareness
    ECML-PKDD 2024 ·
    Zeyuan Zhao
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  36. LARR: Large Language Model Aided Real-time Scene Recommendation with Semantic Understanding
    RecSys 2024 ·
    Zhizhong Wan
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  37. PSP: Pre-training and Structure Prompt Tuning for Graph Neural Networks
    ECML-PKDD 2024 ·
    Qingqing Ge
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  38. Resurrecting Label Propagation for Graphs with Heterophily and Label Noise
    SIGKDD 2024 ·
    Yao Cheng
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  39. Self-pro: A Self-prompt and Tuning Framework for Graph Neural Networks
    ECML-PKDD 2024 ·
    Chenghua Gong
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  40. Training-free Multi-objective Diffusion Model for 3D Molecule Generation
    ICLR 2024 ·
    Xu Han
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  41. UPFL: Unsupervised Personalized Federated Learning towards New Clients
    SDM 2024 ·
    Tiandi Ye
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  42. Unified Dual-Intent Translation for Joint Modeling of Search and Recommendation
    SIGKDD 2024 ·
    Yuting Zhang
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