PPaperPicks

Xiangyu Zhao

City University of Hong Kong, Hong Kong

127 papers at tracked venues · 96 at CORE A* · active 2024–2026

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Venues

ACL ×20SIGIR ×20CIKM ×17SIGKDD ×15AAAI ×12WWW ×12NeurIPS ×9ICDE ×5IJCAI ×4ICDM ×3WSDM ×3ACM MM ×1EMNLP ×1ICML ×1NAACL ×1RecSys ×1SDM ×1VLDB ×1

Frequent coauthors

Pengyue Jia
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Maolin Wang
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Derong Xu
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Qidong Liu
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Yuanshao Zhu
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Yejing Wang
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Xiao Han
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Yuhao Wang
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Jingtong Gao
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Yimin Deng
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Wenlin Zhang
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Xiaopeng Li
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Papers

  1. $L{3}$ C: Leaf-Centric Continuous Codes for Natural Language-Driven Table Discovery
    ICDE 2026 ·
    Qiyuan Zhang
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  2. ARCHER: Shooting Straight in Multimodal E-Commerce Search at Alibaba with Progressive Alignment
    WWW 2026 ·
    Maolin Wang
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  3. AdapTime: Enabling Adaptive Temporal Reasoning in Large Language Models
    ACL 2026 ·
    Yimin Deng
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  4. Automated Information Flow Selection for Multi-scenario Multi-task Recommendation
    WSDM 2026 ·
    Chaohua Yang
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  5. BalanceSFT: Improving LLM Function Calling with Balanced Training Signals and Data Hardness
    ACL 2026 ·
    Bingguang Hao
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  6. BlossomRec: Block-level Fused Sparse Attention Mechanism for Sequential Recommendations
    WWW 2026 ·
    Mengyang Ma
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  7. Boosting Fine-Grained Urban Flow Inference via Lightweight Architecture and Focalized Optimization
    AAAI 2026 ·
    Yuanshao Zhu
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  8. Bridging Personalization and AI: From RAG to Agent
    SIGIR 2026 ·
    Pengyue Jia
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  9. Can LLMs Hear the Dogwhistle?
    ACL 2026 ·
    Yifan Liu
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  10. DeepResearch-9K: A Challenging Benchmark Dataset of Deep-Research Agent
    SIGIR 2026 ·
    Tongzhou Wu
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  11. Detecting Miscitation on the Scholarly Web through LLM-Augmented Text-Rich Graph Learning
    WWW 2026 ·
    Huidong Wu
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  12. Emotion and Intention Guided Multi-Modal Learning for Sticker Response Selection
    AAAI 2026 ·
    Yuxuan Hu
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  13. Exploring Recommender System Evaluation: A Multi-Modal LLM Agent Framework for A/B Testing
    SIGKDD 2026 ·
    Wenlin Zhang
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  14. GFlowGR: Fine-tuning Generative Recommendation Frameworks with Generative Flow Networks
    SIGIR 2026 ·
    Yejing Wang
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  15. GeoArena: Evaluating Open-World Geographic Reasoning in Large Vision-Language Models
    ACL 2026 ·
    Pengyue Jia
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  16. Improving Interpretability of Cognitive Diagnosis Models with LLM-based Semantic Augmentation
    SIGIR 2026 ·
    Youheng Bai
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  17. LLM-EDT: Large Language Models Enhanced Cross-domain Sequential Recommendation with Dual-phase Training
    SIGIR 2026 ·
    Ziwei Liu
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  18. Learning How and What to Memorize: Cognition-Inspired Two-Stage Optimization for Evolving Memory
    ACL 2026 ·
    Derong Xu
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  19. Logic Jailbreak: Efficiently Unlocking LLM Safety Restrictions Through Formal Logical Expression
    ACL 2026 ·
    Jingyu Peng
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  20. MTA: A Merge-then-Adapt Framework for Personalized Large Language Models
    ACL 2026 ·
    Xiaopeng Li
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  21. MemSearch-o1: Empowering Large Language Models with Reasoning-Aligned Memory Growth in Agentic Search
    ACL 2026 ·
    Sheng Zhang
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  22. MultiDx: A Multi-Source Knowledge Integration Framework towards Diagnostic Reasoning
    ACL 2026 ·
    Yimin Deng
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  23. NEZHA: A Zero-sacrifice and Hyperspeed Decoding Architecture for Generative Recommendations
    WWW 2026 ·
    Yejing Wang
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  24. Personalize Before Retrieve: LLM-based Personalized Query Expansion for User-Centric Retrieval
    AAAI 2026 ·
    Yingyi Zhang
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  25. Personalized Deep Research: A User-Centric Framework, Dataset, and Hybrid Evaluation for Knowledge Discovery
    SIGIR 2026 ·
    Xiaopeng Li
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  26. ProEchoMem: Enhancing Long Video Understanding via Multi-Trace Probe-Echo Memory
    SIGIR 2026 ·
    Derong Xu
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  27. PromptX: A Cognitive Agent Platform with Long-term Memory
    WWW 2026 ·
    Binhao Wang
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  28. Renormalization Group Guided Tensor Network Structure Search
    AAAI 2026 ·
    Maolin Wang
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  29. RoSA: Enhancing Parameter-Efficient Fine-Tuning via RoPE-aware Selective Adaptation in Large Language Models
    AAAI 2026 ·
    Dayan Pan
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  30. SAGE: Global Semantic Alignment with LLMs for Long-Tail Sequential Recommendation
    WWW 2026 ·
    Maolin Wang
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  31. SEARCH-R: Structured Entity-Aware Retrieval with Chain-of-Reasoning Navigator for Multi-hop Question Answering
    ACL 2026 ·
    Yuqing Fu
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  32. Select Before Use: On the Importance of Reference Model Selection in Preference Alignment
    ACL 2026 ·
    Muyang Li
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  33. TORepair: Diffusion-Based Task-Oriented Error Repair Via Differentiable Bi-Level Optimization
    ICDE 2026 ·
    Wei Ni
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  34. Tandem: Riding Together with Large and Small Language Models for Efficient Reasoning
    ACL 2026 ·
    Zichuan Fu
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  35. To Search or Not to Search: Aligning the Decision Boundary of Deep Search Agents via Causal Intervention
    WWW 2026 ·
    Wenlin Zhang
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  36. A Multi-Expert Structural-Semantic Hybrid Framework for Unveiling Historical Patterns in Temporal Knowledge Graphs
    ACL 2025 ·
    Yimin Deng
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  37. AI4Reading: Chinese Audiobook Interpretation System Based on Multi-Agent Collaboration
    ACL 2025 ·
    Minjiang Huang
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  38. AgentIR: 2nd Workshop on Agent-based Information Retrieval
    SIGIR 2025 ·
    Pengyue Jia
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  39. Behavior Modeling Space Reconstruction for E-Commerce Search
    WWW 2025 ·
    Yejing Wang
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  40. Bridge the Domains: Large Language Models Enhanced Cross-domain Sequential Recommendation
    SIGIR 2025 ·
    Qidong Liu
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  41. Bridging Relevance and Reasoning: Rationale Distillation in Retrieval-Augmented Generation
    ACL 2025 ·
    Pengyue Jia
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  42. Causality-aware Graph Aggregation Weight Estimator for Popularity Debiasing in Top-K Recommendation
    CIKM 2025 ·
    Yue Que
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  43. Contextual Attention Modulation: Towards Efficient Multi-Task Adaptation in Large Language Models
    CIKM 2025 ·
    Dayan Pan
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  44. DANCE: Resource-Efficient Neural Architecture Search with Data-Aware and Continuous Adaptation
    IJCAI 2025 ·
    Maolin Wang
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  45. Data Efficient Adaptation in Large Language Models via Continuous Low-Rank Fine-Tuning
    NeurIPS 2025 ·
    Xiao Han
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  46. DimCL: Dimension-Aware Augmentation in Contrastive Learning for Recommendation
    SIGKDD 2025 ·
    Chi Zhang
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  47. ECKGBench: Benchmarking Large Language Models in E-commerce Leveraging Knowledge Graph
    CIKM 2025 ·
    Langming Liu
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  48. Empowering Denoising Sequential Recommendation with Large Language Model Embeddings
    CIKM 2025 ·
    Tongzhou Wu
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  49. Empowering Large Language Model for Sequential Recommendation via Multimodal Embeddings and Semantic IDs
    CIKM 2025 ·
    Yuhao Wang
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  50. FiRE: Enhancing MLLMs with Fine-Grained Context Learning for Complex Image Retrieval
    SIGIR 2025 ·
    Bohan Hou
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  51. Flow Matching Based Sequential Recommender Model
    IJCAI 2025 ·
    Feng Liu
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  52. GARLIC: GPT-Augmented Reinforcement Learning with Intelligent Control for Vehicle Dispatching
    AAAI 2025 ·
    Xiao Han
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  53. GLINT-RU: Gated Lightweight Intelligent Recurrent Units for Sequential Recommender Systems
    SIGKDD 2025 ·
    Sheng Zhang
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  54. Generative Auto-Bidding with Value-Guided Explorations
    SIGIR 2025 ·
    Jingtong Gao
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  55. GeoRanker: Distance-Aware Ranking for Worldwide Image Geolocalization
    NeurIPS 2025 ·
    Pengyue Jia
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  56. Harnessing Large Language Models for Knowledge Graph Question Answering via Adaptive Multi-Aspect Retrieval-Augmentation
    AAAI 2025 ·
    Derong Xu
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  57. LLM-Powered User Simulator for Recommender System
    AAAI 2025 ·
    Zijian Zhang
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  58. LLM4Rerank: LLM-based Auto-Reranking Framework for Recommendations
    WWW 2025 ·
    Jingtong Gao
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  59. LLMEmb: Large Language Model Can Be a Good Embedding Generator for Sequential Recommendation
    AAAI 2025 ·
    Qidong Liu
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  60. LLMs Trust Humans More, That's a Problem! Unveiling and Mitigating the Authority Bias in Retrieval-Augmented Generation
    ACL 2025 ·
    Yuxuan Li
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  61. LSRP: A Leader-Subordinate Retrieval Framework for Privacy-Preserving Cloud-Device Collaboration
    SIGKDD 2025 ·
    Yingyi Zhang
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  62. Large Language Model Enhanced Recommender Systems: Methods, Applications and Trends
    SIGKDD 2025 ·
    Qidong Liu
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  63. Learning Generalized and Flexible Trajectory Models from Omni-Semantic Supervision
    SIGKDD 2025 ·
    Yuanshao Zhu
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  64. Measure Domain's Gap: A Similar Domain Selection Principle for Multi-Domain Recommendation
    SIGKDD 2025 ·
    Yi Wen
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  65. MetaLoRA: Tensor-Enhanced Adaptive Low-Rank Fine-Tuning
    ICDE 2025 ·
    Maolin Wang
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  66. Mitigating Stereotypes in Text-to-Image Generation: A Novel Perspective of Selective Neural Suppression
    ACM MM 2025 ·
    Junlei Zhou
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  67. Model Merging for Knowledge Editing
    ACL 2025 ·
    Zichuan Fu
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  68. Multi-scenario Instance Embedding Learning for Deep Recommender Systems
    SIGIR 2025 ·
    Chaohua Yang
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  69. Multi-task Offline Reinforcement Learning for Online Advertising in Recommender Systems
    SIGKDD 2025 ·
    Langming Liu
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  70. NoteLLM-2: Multimodal Large Representation Models for Recommendation
    SIGKDD 2025 ·
    Chao Zhang
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  71. PAnDA: Combating Negative Augmentation via Large Language Models for User Cold-Start Recommendations
    CIKM 2025 ·
    Yantong Du
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  72. POI-Enhancer: An LLM-based Semantic Enhancement Framework for POI Representation Learning
    AAAI 2025 ·
    Jiawei Cheng
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  73. Pre-train, Align, and Disentangle: Empowering Sequential Recommendation with Large Language Models
    SIGIR 2025 ·
    Yuhao Wang
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  74. Process vs. Outcome Reward: Which is Better for Agentic RAG Reinforcement Learning
    NeurIPS 2025 ·
    Wenlin Zhang
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  75. Prompt Tuning as User Inherent Profile Inference Machine
    CIKM 2025 ·
    Yusheng Lu
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  76. Put Teacher in Student's Shoes: Cross-Distillation for Ultra-compact Model Compression Framework
    SIGKDD 2025 ·
    Maolin Wang
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  77. SELF: Surrogate-light Feature Selection with Large Language Models in Deep Recommender Systems
    CIKM 2025 ·
    Pengyue Jia
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  78. SIGMA: Selective Gated Mamba for Sequential Recommendation
    AAAI 2025 ·
    Ziwei Liu
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  79. SPARK: Adaptive Low-Rank Knowledge Graph Modeling in Hybrid Geometric Spaces for Recommendation
    CIKM 2025 ·
    Binhao Wang
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  80. STAR-Rec: Making Peace with Length Variance and Pattern Diversity in Sequential Recommendation
    SIGIR 2025 ·
    Maolin Wang
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  81. SampleLLM: Optimizing Tabular Data Synthesis in Recommendations
    WWW 2025 ·
    Jingtong Gao
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  82. Scenario-Wise Rec: A Multi-Scenario Recommendation Benchmark
    CIKM 2025 ·
    Xiaopeng Li
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  83. Stepwise Reasoning Disruption Attack of LLMs
    ACL 2025 ·
    Jingyu Peng
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  84. Swarm Intelligence in Geo-Localization: A Multi-Agent Large Vision-Language Model Collaborative Framework
    SIGKDD 2025 ·
    Xiao Han
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  85. The Elephant in the Room: Exploring the Role of Neutral Words in Language Model Group-Agnostic Debiasing
    ACL 2025 ·
    Xinwei Guo
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  86. Towards Propagation-Aware Representation Learning for Supervised Social Media Graph Analytics
    ICDM 2025 ·
    Wei Jiang
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  87. Training-free LLM Merging for Multi-task Learning
    ACL 2025 ·
    Zichuan Fu
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  88. Trustworthy Knowledge Discovery and Data Mining (TrustKDD)
    CIKM 2025 ·
    Le Wu
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  89. Twice the Gradient, Twice the Privacy Risk in Federated Learning? A Case Study of Federated Recommendation Systems
    ICDM 2025 ·
    Zhenyu Deng
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  90. UniTraj: Learning a Universal Trajectory Foundation Model from Billion-Scale Worldwide Traces
    NeurIPS 2025 ·
    Yuanshao Zhu
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  91. ZeroED: Hybrid Zero-Shot Error Detection Through Large Language Model Reasoning
    ICDE 2025 ·
    Wei Ni
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  92. Adapting Job Recommendations to User Preference Drift with Behavioral-Semantic Fusion Learning
    SIGKDD 2024 ·
    Xiao Han
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  93. AgentIR: 1st Workshop on Agent-based Information Retrieval
    SIGIR 2024 ·
    Qingpeng Cai
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  94. Association of Objects May Engender Stereotypes: Mitigating Association-Engendered Stereotypes in Text-to-Image Generation
    NeurIPS 2024 ·
    Junlei Zhou
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  95. Automatic Data Repair: Are We Ready to Deploy?
    VLDB 2024 ·
    Wei Ni
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  96. Bi-Level User Modeling for Deep Recommenders
    ICDM 2024 ·
    Yejing Wang
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  97. ControlTraj: Controllable Trajectory Generation with Topology-Constrained Diffusion Model
    SIGKDD 2024 ·
    Yuanshao Zhu
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  98. D3: A Methodological Exploration of Domain Division, Modeling, and Balance in Multi-Domain Recommendations
    AAAI 2024 ·
    Pengyue Jia
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  99. DNS-Rec: Data-aware Neural Architecture Search for Recommender Systems
    RecSys 2024 ·
    Sheng Zhang
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  100. Diff-MSR: A Diffusion Model Enhanced Paradigm for Cold-Start Multi-Scenario Recommendation
    WSDM 2024 ·
    Yuhao Wang
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  101. Does Egalitarian Fairness Lead to Instability? The Fairness Bounds in Stable Federated Learning Under Altruistic Behaviors
    NeurIPS 2024 ·
    Jiashi Gao
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  102. ERASE: Benchmarking Feature Selection Methods for Deep Recommender Systems
    SIGKDD 2024 ·
    Pengyue Jia
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  103. Editing Factual Knowledge and Explanatory Ability of Medical Large Language Models
    CIKM 2024 ·
    Derong Xu
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  104. Efficient and Robust Regularized Federated Recommendation
    CIKM 2024 ·
    Langming Liu
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  105. Enhancing Length Generalization for Attention Based Knowledge Tracing Models with Linear Biases
    IJCAI 2024 ·
    Xueyi Li
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  106. G3: An Effective and Adaptive Framework for Worldwide Geolocalization Using Large Multi-Modality Models
    NeurIPS 2024 ·
    Pengyue Jia
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  107. Graph Neural Stochastic Diffusion for Estimating Uncertainty in Node Classification
    ICML 2024 ·
    Xixun Lin
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  108. HierRec: Scenario-Aware Hierarchical Modeling for Multi-scenario Recommendations
    CIKM 2024 ·
    Jingtong Gao
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  109. KDDC: Knowledge-Driven Disentangled Causal Metric Learning for Pre-Travel Out-of-Town Recommendation
    IJCAI 2024 ·
    Yinghui Liu
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  110. LLM-ESR: Large Language Models Enhancement for Long-tailed Sequential Recommendation
    NeurIPS 2024 ·
    Qidong Liu
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  111. LLM4MSR: An LLM-Enhanced Paradigm for Multi-Scenario Recommendation
    CIKM 2024 ·
    Yuhao Wang
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  112. Large Multimodal Model Compression via Iterative Efficient Pruning and Distillation
    WWW 2024 ·
    Maolin Wang
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  113. M3oE: Multi-Domain Multi-Task Mixture-of Experts Recommendation Framework
    SIGIR 2024 ·
    Zijian Zhang
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  114. MILL: Mutual Verification with Large Language Models for Zero-Shot Query Expansion
    NAACL 2024 ·
    Pengyue Jia
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  115. Mitigating Hallucinations of Large Language Models in Medical Information Extraction via Contrastive Decoding
    EMNLP 2024 ·
    Derong Xu
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  116. Modeling User Retention through Generative Flow Networks
    SIGKDD 2024 ·
    Ziru Liu
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  117. Multi-turn Classroom Dialogue Dataset: Assessing Student Performance from One-on-one Conversations
    CIKM 2024 ·
    Jiahao Chen
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  118. MultiFS: Automated Multi-Scenario Feature Selection in Deep Recommender Systems
    WSDM 2024 ·
    Dugang Liu
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  119. OpenSiteRec: An Open Dataset for Site Recommendation
    SIGIR 2024 ·
    Xinhang Li
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  120. Optimal Transport Enhanced Cross-City Site Recommendation
    SIGIR 2024 ·
    Xinhang Li
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  121. SSDRec: Self-Augmented Sequence Denoising for Sequential Recommendation
    ICDE 2024 ·
    Chi Zhang
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  122. Scalable Dynamic Embedding Size Search for Streaming Recommendation
    CIKM 2024 ·
    Yunke Qu
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  123. Sequential Recommendation for Optimizing Both Immediate Feedback and Long-term Retention
    SIGIR 2024 ·
    Ziru Liu
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  124. Tensorized Hypergraph Neural Networks
    SDM 2024 ·
    Maolin Wang
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  125. The 2nd Workshop on Recommendation with Generative Models
    WWW 2024 ·
    Wenjie Wang
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  126. Unveiling the Bias Impact on Symmetric Moral Consistency of Large Language Models
    NeurIPS 2024 ·
    Ziyi Zhou
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  127. When MOE Meets LLMs: Parameter Efficient Fine-tuning for Multi-task Medical Applications
    SIGIR 2024 ·
    Qidong Liu
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