PPaperPicks

Defu Lian

81 papers at tracked venues · 68 at CORE A* · active 2024–2026

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Venues

ACL ×20NeurIPS ×10WWW ×10SIGKDD ×8ICLR ×7CIKM ×5AAAI ×3EMNLP ×3ICML ×3SIGIR ×3WSDM ×3VLDB ×2ACM MM ×1ICDE ×1IJCAI ×1MLSys ×1

Frequent coauthors

Chaofan Li
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Yuxuan Lei
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Jianlyu Chen
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Zheng Liu
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Hongjin Qian
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Wuchao Li
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Qi Liu
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Ruiran Yan
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Wenjia Xie
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Mingjia Yin
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Xu Huang
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Chenyuan Wu
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Papers

  1. Benchmarking and Enabling Efficient Chinese Medical Retrieval via Asymmetric Encoders
    ACL 2026 ·
    Angqing Jiang
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  2. EquivPruner: Boosting Efficiency and Quality in LLM-Based Search via Action Pruning
    ACL 2026 ·
    Jiawei Liu
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  3. HumanLLM: Towards Personalized Understanding and Simulation of Human Nature
    SIGKDD 2026 ·
    Yuxuan Lei
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  4. Learning from Emptiness: De-biasing Listwise Rerankers with Content-Agnostic Probability Calibration
    ACL 2026 ·
    Hang Lv
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  5. Let Retrievers Think Before Action: Thought-Augmented Embedding for Dense Retrieval
    ACL 2026 ·
    Ruiran Yan
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  6. Multiple-play Stochastic Bandits with Prioritized Arm Capacity Sharing
    AAAI 2026 ·
    Hong Xie
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  7. ReasonEmbed: Enhanced Text Embeddings for Reasoning-Intensive Document Retrieval
    ACL 2026 ·
    Jianlyu Chen
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  8. SPARD: Self-Paced Curriculum for RL Alignment via Integrating Reward Dynamics and Data Utility
    ACL 2026 ·
    Xuyang Zhi
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  9. AIR-Bench: Automated Heterogeneous Information Retrieval Benchmark
    ACL 2025 ·
    Jianlyu Chen
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  10. Accurate KV Cache Eviction via Anchor Direction Projection for Efficient LLM Inference
    NeurIPS 2025 ·
    Zijie Geng
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  11. Advancing Machine-Generated Text Detection from an Easy to Hard Supervision Perspective
    NeurIPS 2025 ·
    Chenwang Wu
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  12. Any Information Is Just Worth One Single Screenshot: Unifying Search With Visualized Information Retrieval
    ACL 2025 ·
    Zheng Liu
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  13. Boosting Long-Context Information Seeking via Query-Guided Activation Refilling
    ACL 2025 ·
    Hongjin Qian
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  14. Breaking the Bottleneck: User-Specific Optimization and Real-Time Inference Integration for Sequential Recommendation
    SIGKDD 2025 ·
    Wenjia Xie
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  15. Conflict-Buffering Optimization by Symmetry Teleportation for Deep Long-Tailed Recognition
    ACM MM 2025 ·
    Mianzimei Yang
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  16. Cross-Domain Pre-training with Language Models for Transferable Time Series Representations
    WSDM 2025 ·
    Mingyue Cheng
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  17. DLF: Enhancing Explicit-Implicit Interaction via Dynamic Low-Order-Aware Fusion for CTR Prediction
    SIGIR 2025 ·
    Kefan Wang
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  18. DaRec: A Disentangled Alignment Framework for Large Language Model and Recommender System
    ICDE 2025 ·
    Xihong Yang
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  19. DimeRec: A Unified Framework for Enhanced Sequential Recommendation via Generative Diffusion Models
    WSDM 2025 ·
    Wuchao Li
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  20. Exploring the Choice Behavior of Large Language Models
    ACL 2025 ·
    Weidong Wu
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  21. Fitting Into Any Shape: A Flexible LLM-Based Re-Ranker With Configurable Depth and Width
    WWW 2025 ·
    Zheng Liu
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  22. From Feature Interaction to Feature Generation: A Generative Paradigm of CTR Prediction Models
    ICML 2025 ·
    Mingjia Yin
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  23. FuXi-α: Scaling Recommendation Model with Feature Interaction Enhanced Transformer
    WWW 2025 ·
    Yufei Ye
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  24. Generative Large Recommendation Models: Emerging Trends in LLMs for Recommendation
    WWW 2025 ·
    Hao Wang
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  25. HawkBench: Investigating Resilience of RAG Methods on Stratified Information-Seeking Tasks
    NeurIPS 2025 ·
    Hongjin Qian
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  26. HyperGate: Hierarchical Perceptive Gating Network for Multi-domain Multi-task Recommendation
    WWW 2025 ·
    Xu Huang
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  27. HyperTree Planning: Enhancing LLM Reasoning via Hierarchical Thinking
    ICML 2025 ·
    Runquan Gui
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  28. Internal Value Alignment in Large Language Models through Controlled Value Vector Activation
    ACL 2025 ·
    Haoran Jin
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  29. Killing Two Birds with One Stone: Unifying Retrieval and Ranking with a Single Generative Recommendation Model
    SIGIR 2025 ·
    Luankang Zhang
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  30. Lighter And Better: Towards Flexible Context Adaptation For Retrieval Augmented Generation
    WSDM 2025 ·
    Chenyuan Wu
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  31. LogicTree: Improving Complex Reasoning of LLMs via Instantiated Multi-step Synthetic Logical Data
    NeurIPS 2025 ·
    Zehao Wang
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  32. M2-MFP: A Multi-Scale and Multi-Level Memory Failure Prediction Framework for Reliable Cloud Infrastructure
    SIGKDD 2025 ·
    Hongyi Xie
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  33. MIT: A Multi-Tower Information Transfer Framework Based on Hierarchical Task Relationship Modeling
    WWW 2025 ·
    Rui Zhou
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  34. Making Text Embedders Few-Shot Learners
    ICLR 2025 ·
    Chaofan Li
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  35. Making Transformer Decoders Better Differentiable Indexers
    ICLR 2025 ·
    Wuchao Li
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  36. MegaPairs: Massive Data Synthesis for Universal Multimodal Retrieval
    ACL 2025 ·
    Junjie Zhou
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  37. MemoRAG: Boosting Long Context Processing with Global Memory-Enhanced Retrieval Augmentation
    WWW 2025 ·
    Hongjin Qian
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  38. Multi-granularity Interest Retrieval and Refinement Network for Long-Term User Behavior Modeling in CTR Prediction
    SIGKDD 2025 ·
    Xiang Xu
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  39. P-Law: Predicting Quantitative Scaling Law with Entropy Guidance in Large Recommendation Models
    NeurIPS 2025 ·
    Tingjia Shen
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  40. RAPID: Efficient Retrieval-Augmented Long Text Generation with Writing Planning and Information Discovery
    ACL 2025 ·
    Hongchao Gu
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  41. RecFlow: An Industrial Full Flow Recommendation Dataset
    ICLR 2025 ·
    Qi Liu
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  42. Reinforced IR: A Self-Boosting Framework For Domain-Adapted Information Retrieval
    ACL 2025 ·
    Chaofan Li
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  43. Robust Tree-based Learned Vector Index with Query-aware Repartitioning
    SIGKDD 2025 ·
    Wenqing Wei
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  44. TDDBench: A Benchmark for Training data detection
    ICLR 2025 ·
    Zhihao Zhu
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  45. Taming Ultra-Long Behavior Sequence in Session-wise Generative Recommendation
    CIKM 2025 ·
    Wuchao Li
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  46. ToolACE: Winning the Points of LLM Function Calling
    ICLR 2025 ·
    Weiwen Liu
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  47. Towards A Generalist Code Embedding Model Based On Massive Data Synthesis
    NeurIPS 2025 ·
    Chaofan Li
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  48. Transformers are Good Clusterers for Lifelong User Behavior Sequence Modeling
    CIKM 2025 ·
    Xingmei Wang
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  49. Trustworthy Knowledge Discovery and Data Mining (TrustKDD)
    CIKM 2025 ·
    Le Wu
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  50. Understanding the Effect of Loss Functions on the Generalization of Recommendations
    SIGKDD 2025 ·
    Yuanhao Pu
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  51. Unlocking the Power of Function Vectors for Characterizing and Mitigating Catastrophic Forgetting in Continual Instruction Tuning
    ICLR 2025 ·
    Gangwei Jiang
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  52. What Makes a Good Reasoning Chain? Uncovering Structural Patterns in Long Chain-of-Thought Reasoning
    EMNLP 2025 ·
    Gangwei Jiang
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  53. A Data-Centric Multi-Objective Learning Framework for Responsible Recommendation Systems
    WWW 2024 ·
    Xu Huang
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  54. AT4CTR: Auxiliary Match Tasks for Enhancing Click-Through Rate Prediction
    AAAI 2024 ·
    Qi Liu
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  55. Adaptive Order Q-learning
    IJCAI 2024 ·
    Tao Tan
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  56. Aligning Language Models for Versatile Text-based Item Retrieval
    WWW 2024 ·
    Yuxuan Lei
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  57. Benchmarking and Improving Compositional Generalization of Multi-aspect Controllable Text Generation
    ACL 2024 ·
    Tianqi Zhong
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  58. Breaking Determinism: Fuzzy Modeling of Sequential Recommendation Using Discrete State Space Diffusion Model
    NeurIPS 2024 ·
    Wenjia Xie
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  59. C-Pack: Packed Resources For General Chinese Embeddings
    SIGIR 2024 ·
    Shitao Xiao
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  60. Dataset Regeneration for Sequential Recommendation
    SIGKDD 2024 ·
    Mingjia Yin
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  61. Efficient Noise-Decoupling for Multi-Behavior Sequential Recommendation
    WWW 2024 ·
    Yongqiang Han
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  62. Evaluating Readability and Faithfulness of Concept-based Explanations
    EMNLP 2024 ·
    Meng Li
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  63. Federated Contextual Cascading Bandits with Asynchronous Communication and Heterogeneous Users
    AAAI 2024 ·
    Hantao Yang
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  64. FilterNet: Harnessing Frequency Filters for Time Series Forecasting
    NeurIPS 2024 ·
    Kun Yi
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  65. Generalization Error Bounds for Two-stage Recommender Systems with Tree Structure
    NeurIPS 2024 ·
    Jin Zhang
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  66. Information Retrieval Meets Large Language Models
    WWW 2024 ·
    Zheng Liu
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  67. Learning from Highly Sparse Spatio-temporal Data
    NeurIPS 2024 ·
    Leyan Deng
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  68. Learning-Efficient Yet Generalizable Collaborative Filtering for Item Recommendation
    ICML 2024 ·
    Yuanhao Pu
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  69. Llama2Vec: Unsupervised Adaptation of Large Language Models for Dense Retrieval
    ACL 2024 ·
    Chaofan Li
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  70. M3-Embedding: Multi-Linguality, Multi-Functionality, Multi-Granularity Text Embeddings Through Self-Knowledge Distillation
    ACL 2024 ·
    Jianlyu Chen
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  71. Mitigate Negative Transfer with Similarity Heuristic Lifelong Prompt Tuning
    ACL 2024 ·
    Chenyuan Wu
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  72. Mitigating the Language Mismatch and Repetition Issues in LLM-based Machine Translation via Model Editing
    EMNLP 2024 ·
    Weichuan Wang
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  73. Multi-Task Recommendation with Task Information Decoupling
    CIKM 2024 ·
    Ruiran Yan
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  74. NoiseDiffusion: Correcting Noise for Image Interpolation with Diffusion Models beyond Spherical Linear Interpolation
    ICLR 2024 ·
    Pengfei Zheng
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  75. On the Vulnerability of Safety Alignment in Open-Access LLMs
    ACL 2024 ·
    Jingwei Yi
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  76. PRICE: A Pretrained Model for Cross-Database Cardinality Estimation
    VLDB 2024 ·
    Tianjing Zeng
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  77. PilotScope: Steering Databases with Machine Learning Drivers
    VLDB 2024 ·
    Rong Zhu
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  78. RecExplainer: Aligning Large Language Models for Explaining Recommendation Models
    SIGKDD 2024 ·
    Yuxuan Lei
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  79. Understanding and Patching Compositional Reasoning in LLMs
    ACL 2024 ·
    Zhaoyi Li
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  80. UniDM: A Unified Framework for Data Manipulation with Large Language Models
    MLSys 2024 ·
    Yichen Qian
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  81. UniMEL: A Unified Framework for Multimodal Entity Linking with Large Language Models
    CIKM 2024 ·
    Qi Liu
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