PPaperPicks

Hongzhi Yin

University of Queensland, Brisbane, QLD, Australia

70 papers at tracked venues · 53 at CORE A* · active 2024–2026

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Venues

WWW ×14ICDE ×12SIGIR ×11SIGKDD ×10CIKM ×9WSDM ×5AAAI ×3ACL ×1ECML-PKDD ×1ICDM ×1ICML ×1NeurIPS ×1RecSys ×1

Frequent coauthors

Xinyi Gao
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Wei Jiang
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Yi Zhang
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Sixiao Zhang
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Yunke Qu
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Jing Long
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Zongwei Wang
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Hung Vinh Tran
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Yuchuan Zhao
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Qianru Zhang
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Hechuan Wen
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Maolin Wang
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Papers

  1. An Efficient and Effective Evaluator for Text2SQL Models on Unseen and Unlabeled Data
    ICDE 2026 ·
    Trinh Pham
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  2. Boosting Small Language Models for Text-to-SQL with Fine-Grained Execution Feedback and Cost-Efficient Rewards
    ICDE 2026 ·
    Thanh Dat Hoang
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  3. Efficient Content-based Recommendation Model Training via Noise-aware Coreset Selection
    WWW 2026 ·
    Hung Vinh Tran
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  4. LLM-UP: SIGIR 2026 Workshop on LLM-powered User Profiling for Search and Recommendation
    SIGIR 2026 · Hongzhi Yin
  5. On-Device Large Language Models for Sequential Recommendation
    WSDM 2026 ·
    Xin Xia
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  6. ProEchoMem: Enhancing Long Video Understanding via Multi-Trace Probe-Echo Memory
    SIGIR 2026 ·
    Derong Xu
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  7. ProEx: A Unified Framework Leveraging Large Language Model with Profile Extrapolation for Recommendation
    SIGKDD 2026 ·
    Yi Zhang
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  8. ProMax: Exploring the Potential of LLM-derived Profiles with Distribution Shaping for Recommender Systems
    SIGIR 2026 ·
    Yi Zhang
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  9. Prompt-Unknown Promotion Attacks against LLM-based Sequential Recommender Systems
    SIGIR 2026 ·
    Yuchuan Zhao
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  10. Relational Database Distillation: From Structured Tables to Condensed Graph Data
    WWW 2026 ·
    Xinyi Gao
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  11. SmartAgent: Chain-of-User-Thought for Embodied Personalized Agent in Cyber World
    AAAI 2026 ·
    Jiaqi Zhang
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  12. BiasNavi: LLM-Empowered Data Bias Management
    WWW 2025 ·
    Junliang Yu
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  13. CADRL: Category-Aware Dual-Agent Reinforcement Learning for Explainable Recommendations over Knowledge Graphs
    ICDE 2025 ·
    Shangfei Zheng
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  14. Contrastive Graph Condensation: Advancing Data Versatility through Self-Supervised Learning
    SIGKDD 2025 ·
    Xinyi Gao
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  15. Data Watermarking for Sequential Recommender Systems
    SIGKDD 2025 ·
    Sixiao Zhang
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  16. Diversity-aware Dual-promotion Poisoning Attack on Sequential Recommendation
    SIGIR 2025 ·
    Yuchuan Zhao
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  17. Efficient Multimodal Streaming Recommendation via Expandable Side Mixture-of-Experts
    CIKM 2025 ·
    Yunke Qu
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  18. Efficient Traffic Prediction Through Spatio-Temporal Distillation
    AAAI 2025 ·
    Qianru Zhang
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  19. Enhancing Treatment Effect Estimation via Active Learning: A Counterfactual Covering Perspective
    ICML 2025 ·
    Hechuan Wen
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  20. Epidemiology-informed Network for Robust Rumor Detection
    WWW 2025 ·
    Wei Jiang
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  21. FindRec: Stein-Guided Entropic Flow for Multi-Modal Sequential Recommendation
    SIGKDD 2025 ·
    Maolin Wang
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  22. Graph Condensation: Foundations, Methods and Prospects
    WWW 2025 · Hongzhi Yin
  23. HGAurban: Heterogeneous Graph Autoencoding for Urban Spatial-Temporal Learning
    CIKM 2025 ·
    Qianru Zhang
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  24. Harnessing Large Language Models for Group POI Recommendations
    CIKM 2025 ·
    Jing Long
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  25. ID-Free Not Risk-Free: LLM-Powered Agents Unveil Risks in ID-Free Recommender Systems
    SIGIR 2025 ·
    Zongwei Wang
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  26. Memory-Enhanced Invariant Prompt Learning for Urban Flow Prediction Under Distribution Shifts
    ECML-PKDD 2025 ·
    Haiyang Jiang
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  27. Multi-task Offline Reinforcement Learning for Online Advertising in Recommender Systems
    SIGKDD 2025 ·
    Langming Liu
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  28. NR-GCF: Graph Collaborative Filtering with Improved Noise Resistance
    CIKM 2025 ·
    Yijun Chen
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  29. On-device Content-based Recommendation with Single-shot Embedding Pruning: A Cooperative Game Perspective
    WWW 2025 ·
    Hung Vinh Tran
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  30. Progressive Generalization Risk Reduction for Data-Efficient Causal Effect Estimation
    SIGKDD 2025 ·
    Hechuan Wen
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  31. Rethinking Cancer Gene Identification Through Graph Anomaly Analysis
    AAAI 2025 ·
    Yilong Zang
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  32. Rethinking and Accelerating Graph Condensation: A Training-Free Approach with Class Partition
    WWW 2025 ·
    Xinyi Gao
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  33. STAR-Rec: Making Peace with Length Variance and Pattern Diversity in Sequential Recommendation
    SIGIR 2025 ·
    Maolin Wang
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  34. The 3rd Workshop on Personal Intelligence with Generative AI
    WWW 2025 ·
    Yang Zhang
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  35. Towards Distribution Matching between Collaborative and Language Spaces for Generative Recommendation
    SIGIR 2025 ·
    Yi Zhang
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  36. Towards Propagation-Aware Representation Learning for Supervised Social Media Graph Analytics
    ICDM 2025 ·
    Wei Jiang
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  37. Towards Secure and Robust Recommender Systems: A Data-Centric Perspective
    WSDM 2025 ·
    Zongwei Wang
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  38. Training-Free Heterogeneous Graph Condensation via Data Selection
    ICDE 2025 ·
    Yuxuan Liang
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  39. Training-free LLM Merging for Multi-task Learning
    ACL 2025 ·
    Zichuan Fu
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  40. Accelerating Scalable Graph Neural Network Inference with Node-Adaptive Propagation
    ICDE 2024 ·
    Xinyi Gao
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  41. BIM: Improving Graph Neural Networks with Balanced Influence Maximization
    ICDE 2024 ·
    Wentao Zhang
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  42. BOURNE: Bootstrapped Self-Supervised Learning Framework for Unified Graph Anomaly Detection
    ICDE 2024 ·
    Jie Liu
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  43. Budgeted Embedding Table For Recommender Systems
    WSDM 2024 ·
    Yunke Qu
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  44. CaseLink: Inductive Graph Learning for Legal Case Retrieval
    SIGIR 2024 ·
    Yanran Tang
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  45. Challenging Low Homophily in Social Recommendation
    WWW 2024 ·
    Wei Jiang
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  46. DNS-Rec: Data-aware Neural Architecture Search for Recommender Systems
    RecSys 2024 ·
    Sheng Zhang
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  47. Decentralized Collaborative Learning with Adaptive Reference Data for On-Device POI Recommendation
    WWW 2024 ·
    Ruiqi Zheng
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  48. Defense Against Model Extraction Attacks on Recommender Systems
    WSDM 2024 ·
    Sixiao Zhang
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  49. Diffusion-Based Cloud-Edge-Device Collaborative Learning for Next POI Recommendations
    SIGKDD 2024 ·
    Jing Long
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  50. Distribution-Aware Data Expansion with Diffusion Models
    NeurIPS 2024 ·
    Haowei Zhu
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  51. Efficient and Robust Regularized Federated Recommendation
    CIKM 2024 ·
    Langming Liu
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  52. Graph Condensation for Inductive Node Representation Learning
    ICDE 2024 ·
    Xinyi Gao
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  53. Graph Condensation for Open-World Graph Learning
    SIGKDD 2024 ·
    Xinyi Gao
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  54. Hate Speech Detection with Generalizable Target-aware Fairness
    SIGKDD 2024 ·
    Tong Chen
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  55. HeteFedRec: Federated Recommender Systems with Model Heterogeneity
    ICDE 2024 ·
    Wei Yuan
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  56. Hide Your Model: A Parameter Transmission-free Federated Recommender System
    ICDE 2024 ·
    Wei Yuan
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  57. Lightweight Embeddings for Graph Collaborative Filtering
    SIGIR 2024 ·
    Xurong Liang
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  58. Motif-based Prompt Learning for Universal Cross-domain Recommendation
    WSDM 2024 ·
    Bowen Hao
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  59. On-Device Recommender Systems: A Tutorial on The New-Generation Recommendation Paradigm
    WWW 2024 · Hongzhi Yin
  60. Open-World Semi-Supervised Learning for Node Classification
    ICDE 2024 ·
    Yanling Wang
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  61. Physical Trajectory Inference Attack and Defense in Decentralized POI Recommendation
    WWW 2024 ·
    Jing Long
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  62. Physics-guided Active Sample Reweighting for Urban Flow Prediction
    CIKM 2024 ·
    Wei Jiang
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  63. Poisoning Decentralized Collaborative Recommender System and Its Countermeasures
    SIGIR 2024 ·
    Ruiqi Zheng
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  64. Preference Prototype-Aware Learning for Universal Cross-Domain Recommendation
    CIKM 2024 ·
    Yuxi Zhang
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  65. Prompt-enhanced Federated Content Representation Learning for Cross-domain Recommendation
    WWW 2024 ·
    Lei Guo
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  66. Scalable Dynamic Embedding Size Search for Streaming Recommendation
    CIKM 2024 ·
    Yunke Qu
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  67. Towards Personalized Privacy: User-Governed Data Contribution for Federated Recommendation
    WWW 2024 ·
    Liang Qu
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  68. Unraveling the 'Anomaly' in Time Series Anomaly Detection: A Self-supervised Tri-domain Solution
    ICDE 2024 ·
    Yuting Sun
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  69. Unveiling Vulnerabilities of Contrastive Recommender Systems to Poisoning Attacks
    SIGKDD 2024 ·
    Zongwei Wang
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  70. Watermarking Recommender Systems
    CIKM 2024 ·
    Sixiao Zhang
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