PPaperPicks

Jun Zhou

Ant Financial Services Group, AI Department (Beijing), China

87 papers at tracked venues · 65 at CORE A* · active 2024–2026

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Venues

WWW ×15ACL ×10AAAI ×8EMNLP ×7ICML ×6NeurIPS ×6CIKM ×5WSDM ×5ICLR ×4SIGIR ×4SIGKDD ×4VLDB ×3ECML-PKDD ×2ICDE ×2ACM MM ×1CVPR ×1EACL ×1ICCV ×1ICDM ×1RecSys ×1

Frequent coauthors

Jie Sun
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Jiahui Li
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Jun Xu
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Chunjing Gan
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Junpeng Fang
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Shiyu Wang
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Ze Liu
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Fengqi Zhu
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Kui Liu
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Kangwei Liu
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Jiapeng Wang
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Jujia Zhao
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Papers

  1. From Entity Reliability to Clean Feedback: An Entity-Aware Denoising Framework Beyond Interaction-Level Signals
    WWW 2026 ·
    Ze Liu
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  2. LLaDA 1.5: Variance-Reduced Preference Optimization for Large Language Diffusion Models
    ACL 2026 ·
    Fengqi Zhu
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  3. Learning to Translate by Translating: Stabilizing the Dual Loop via Semantic-Aware Self-Evolution
    ACL 2026 ·
    Kui Liu
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  4. LookAhead Tuning: Safer Language Models via Partial Answer Previews
    WSDM 2026 ·
    Kangwei Liu
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  5. RV-Syn: Rational and Verifiable Mathematical Reasoning Data Synthesis based on Structured Function Library
    EACL 2026 ·
    Jiapeng Wang
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  6. ReportLogic: Evaluating Logical Quality in Deep Research Reports
    ACL 2026 ·
    Jujia Zhao
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  7. Rethinking Sample Polarity in Reinforcement Learning with Verifiable Rewards
    ACL 2026 ·
    Xinyu Tang
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  8. SepSeq: A Training-Free Framework for Long Numerical Sequence Processing in LLMs
    ACL 2026 ·
    Jie Sun
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  9. Taming the Long Tail: Efficient Item-wise Sharpness-Aware Minimization for LLM-based Recommender Systems
    WWW 2026 ·
    Jiaming Zhang
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  10. Thinker: Training LLMs in Hierarchical Thinking for Deep Search via Multi-Turn Interaction
    AAAI 2026 ·
    Jun Xu
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  11. Token-level Collaborative Alignment for LLM-based Generative Recommendation
    WWW 2026 ·
    Fake Lin
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  12. UniGeM: Unifying Data Selection and Mixing via Geometric Exploration and Mining
    ACL 2026 ·
    Changhao Wang
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  13. ARGenSeg: Image Segmentation with Autoregressive Image Generation Model
    NeurIPS 2025 ·
    Xiaolong Wang
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  14. AntAkso: Claims Management System for Health Insurance in Alipay
    SIGKDD 2025 ·
    Qitao Shi
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  15. Arrows of Math Reasoning Data Synthesis for Large Language Models: Diversity, Complexity and Correctness
    CIKM 2025 ·
    Sirui Chen
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  16. BOSE: A Systematic Evaluation Method Optimized for Base Models
    ACL 2025 ·
    Hongzhi Luan
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  17. Controllable Unlearning for Image-to-Image Generative Models via ϵ-Constrained Optimization
    ICLR 2025 ·
    Xiaohua Feng
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  18. Effective and Efficient Masked Image Generation Models
    ICML 2025 ·
    Zebin You
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  19. Effectively PAIRing LLMs with Online Marketing via Progressive Prompting Augmentation
    ICDE 2025 ·
    Chunjing Gan
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  20. Explore What LLM Does Not Know in Complex Question Answering
    AAAI 2025 ·
    Xin Lin
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  21. Fine-Grained Zero-Shot Composed Image Retrieval with Complementary Visual-Semantic Integration
    ICDM 2025 ·
    Yongcong Ye
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  22. Graph Disentangle Causal Model: Enhancing Causal Inference in Networked Observational Data
    WSDM 2025 ·
    Binbin Hu
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  23. IceBerg: Debiased Self-Training for Class-Imbalanced Node Classification
    WWW 2025 ·
    Zhixun Li
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  24. KAG: Boosting LLMs in Professional Domains via Knowledge Augmented Generation
    WWW 2025 ·
    Lei Liang
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  25. LSSF: Safety Alignment for Large Language Models through Low-Rank Safety Subspace Fusion
    ACL 2025 ·
    Guanghao Zhou
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  26. LaMP-Val: Large Language Models Empower Personalized Valuation in Auction
    EMNLP 2025 ·
    Jie Sun
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  27. Large Language Diffusion Models
    NeurIPS 2025 ·
    Shen Nie
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  28. Learning Causal Transition Matrix for Instance-dependent Label Noise
    AAAI 2025 ·
    Jiahui Li
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  29. MAQInstruct: Instruction-based Unified Event Relation Extraction
    WWW 2025 ·
    Jun Xu
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  30. MASS: Mathematical Data Selection via Skill Graphs for Pretraining Large Language Models
    ICML 2025 ·
    Jiazheng Li
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  31. Mix Data or Merge Models? Balancing the Helpfulness, Honesty, and Harmlessness of Large Language Model via Model Merging
    NeurIPS 2025 ·
    Jinluan Yang
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  32. NATRA: Noise-Agnostic Framework for Trajectory Prediction with Noisy Observations
    ICCV 2025 ·
    Rongqing Li
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  33. OneKE: A Dockerized Schema-Guided LLM Agent-based Knowledge Extraction System
    WWW 2025 ·
    Yujie Luo
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  34. RED: Unleashing Token-Level Rewards from Holistic Feedback via Reward Redistribution
    EMNLP 2025 ·
    Jiahui Li
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  35. Refining Sentence Embedding Model through Ranking Sentences Generation with Large Language Models
    ACL 2025 ·
    Liyang He
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  36. Rethinking Causal Ranking: A Balanced Perspective on Uplift Model Evaluation
    ICML 2025 ·
    Minqin Zhu
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  37. Robust Preference Optimization via Dynamic Target Margins
    ACL 2025 ·
    Jie Sun
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  38. Stable Representation Learning on Graphs from Multiple Environments with Structure Distribution Shift
    SIGKDD 2025 ·
    Tong Zhao
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  39. SurvFormer: A Transformer Based Framework for Survival Analysis in Insurance Underwriting
    WWW 2025 ·
    Yingxue Li
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  40. Understanding and Mitigating Overrefusal in LLMs from an Unveiling Perspective of Safety Decision Boundary
    EMNLP 2025 ·
    Licheng Pan
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  41. Unlocking the Power of Function Vectors for Characterizing and Mitigating Catastrophic Forgetting in Continual Instruction Tuning
    ICLR 2025 ·
    Gangwei Jiang
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  42. A Merge Sort Based Ranking System for the Evaluation of Large Language Models
    ECML-PKDD 2024 ·
    Chenchen Li
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  43. Adaptively Denoising Graph Neural Networks for Knowledge Distillation
    ECML-PKDD 2024 ·
    Yuxin Guo
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  44. Aligned Side Information Fusion Method for Sequential Recommendation
    WWW 2024 ·
    Shuhan Wang
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  45. An Active Masked Attention Framework for Many-to-Many Cross-Domain Recommendations
    ACM MM 2024 ·
    Feng Zhu
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  46. AntDT: A Self-Adaptive Distributed Training Framework for Leader and Straggler Nodes
    ICDE 2024 ·
    Youshao Xiao
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  47. Backdoor Adjustment via Group Adaptation for Debiased Coupon Recommendations
    AAAI 2024 ·
    Junpeng Fang
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  48. Breaking the Length Barrier: LLM-Enhanced CTR Prediction in Long Textual User Behaviors
    SIGIR 2024 ·
    Binzong Geng
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  49. Calibrating Graph Neural Networks from a Data-centric Perspective
    WWW 2024 ·
    Cheng Yang
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  50. Can Small Language Models be Good Reasoners for Sequential Recommendation?
    WWW 2024 ·
    Yuling Wang
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  51. Collaborative Refining for Learning from Inaccurate Labels
    NeurIPS 2024 ·
    Bin Han
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  52. Cost-Efficient Fraud Risk Optimization with Submodularity in Insurance Claim
    SIGKDD 2024 ·
    Yupeng Wu
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  53. Counterfactual Data Augmentation for Debiased Coupon Recommendations Based on Potential Knowledge
    WWW 2024 ·
    Junpeng Fang
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  54. Domain Level Interpretability: Interpreting Black-box Model with Domain-specific Embedding
    WSDM 2024 ·
    Ya-Lin Zhang
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  55. EasyTPP: Towards Open Benchmarking Temporal Point Processes
    ICLR 2024 ·
    Siqiao Xue
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  56. Efficient Model Stealing Defense with Noise Transition Matrix
    CVPR 2024 ·
    Dong-Dong Wu
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  57. Enhancing Sequential Recommendation via LLM-based Semantic Embedding Learning
    WWW 2024 ·
    Jun Hu
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  58. Enhancing Sequential Recommenders with Augmented Knowledge from Aligned Large Language Models
    SIGIR 2024 ·
    Yankun Ren
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  59. Exploring Multi-Scenario Multi-Modal CTR Prediction with a Large Scale Dataset
    SIGIR 2024 ·
    Zhaoxin Huan
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  60. Factor Model-Based Large Covariance Estimation from Streaming Data Using a Knowledge-Based Sketch Matrix
    CIKM 2024 ·
    Xiao Tan
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  61. GATS: Generative Audience Targeting System for Online Advertising
    SIGIR 2024 ·
    Cong Jiang
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  62. GMP-AR: Granularity Message Passing and Adaptive Reconciliation for Temporal Hierarchy Forecasting
    AAAI 2024 ·
    Fan Zhou
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  63. Invariant Graph Learning for Causal Effect Estimation
    WWW 2024 ·
    Yongduo Sui
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  64. KGFabric: A Scalable Knowledge Graph Warehouse for Enterprise Data Interconnection
    VLDB 2024 ·
    Peng Yi
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  65. Keypoint-based Progressive Chain-of-Thought Distillation for LLMs
    ICML 2024 ·
    Kaituo Feng
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  66. Knowledge-augmented Financial Market Analysis and Report Generation
    EMNLP 2024 ·
    Yuemin Chen
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  67. LASCA: A Large-Scale Stable Customer Segmentation Approach to Credit Risk Assessment
    SIGKDD 2024 ·
    Yongfeng Gu
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  68. LLMRG: Improving Recommendations through Large Language Model Reasoning Graphs
    AAAI 2024 ·
    Yan Wang
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  69. Learning to Plan for Retrieval-Augmented Large Language Models from Knowledge Graphs
    EMNLP 2024 ·
    Junjie Wang
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  70. Leave No One Behind: Online Self-Supervised Self-Distillation for Sequential Recommendation
    WWW 2024 ·
    Shaowei Wei
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  71. Lower Bounds of Uniform Stability in Gradient-Based Bilevel Algorithms for Hyperparameter Optimization
    NeurIPS 2024 ·
    Rongzhen Wang
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  72. MDGNN: Multi-Relational Dynamic Graph Neural Network for Comprehensive and Dynamic Stock Investment Prediction
    AAAI 2024 ·
    Hao Qian
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  73. Multi-view Temporal Knowledge Graph Reasoning
    CIKM 2024 ·
    Fuwei Zhang
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  74. Multiscale Representation Enhanced Temporal Flow Fusion Model for Long-Term Workload Forecasting
    CIKM 2024 ·
    Shiyu Wang
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  75. Not All Negatives Are Worth Attending to: Meta-Bootstrapping Negative Sampling Framework for Link Prediction
    WSDM 2024 ·
    Yakun Wang
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  76. OneEdit: A Neural-Symbolic Collaboratively Knowledge Editing System
    VLDB 2024 ·
    Ningyu Zhang
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  77. OneGen: Efficient One-Pass Unified Generation and Retrieval for LLMs
    EMNLP 2024 ·
    Jintian Zhang
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  78. OptScaler: A Collaborative Framework for Robust Autoscaling in the Cloud
    VLDB 2024 ·
    Aaron Zou
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  79. Optimizing Language Models with Fair and Stable Reward Composition in Reinforcement Learning
    EMNLP 2024 ·
    Jiahui Li
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  80. PEACE: Prototype lEarning Augmented transferable framework for Cross-domain rEcommendation
    WSDM 2024 ·
    Chunjing Gan
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  81. ReLand: Integrating Large Language Models' Insights into Industrial Recommenders via a Controllable Reasoning Pool
    RecSys 2024 ·
    Changxin Tian
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  82. Rethinking Memory and Communication Costs for Efficient Data Parallel Training of Large Language Models
    NeurIPS 2024 ·
    Hanxiao Zhang
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  83. Self-cognitive Denoising in the Presence of Multiple Noisy Label Sources
    ICML 2024 ·
    Yi-Xuan Sun
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  84. TEXT CAN BE FAIR: Mitigating Popularity Bias with PLMs by Learning Relative Preference
    CIKM 2024 ·
    Zuoli Tang
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  85. TimeMixer: Decomposable Multiscale Mixing for Time Series Forecasting
    ICLR 2024 ·
    Shiyu Wang
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  86. Unifying Bayesian Flow Networks and Diffusion Models through Stochastic Differential Equations
    ICML 2024 ·
    Kaiwen Xue
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  87. π-Light: Programmatic Interpretable Reinforcement Learning for Resource-Limited Traffic Signal Control
    AAAI 2024 ·
    Yin Gu
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