PPaperPicks

Zhiqiang Zhang

Ant Financial Services Group, Hangzhou, China

46 papers at tracked venues · 32 at CORE A* · active 2024–2026

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Venues

WWW ×10SIGKDD ×7ACL ×5AAAI ×4CIKM ×4WSDM ×4EMNLP ×3NeurIPS ×3EACL ×1ECML-PKDD ×1ICDE ×1ICML ×1RecSys ×1VLDB ×1

Frequent coauthors

Xinyu Tang
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Chunjing Gan
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Lingbing Guo
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Yakun Wang
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Kangwei Liu
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Junzhuo Li
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Jiapeng Wang
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Fake Lin
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Sirui Chen
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Hongzhi Luan
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Hongrui Liu
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Xin Lin
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Papers

  1. LookAhead Tuning: Safer Language Models via Partial Answer Previews
    WSDM 2026 ·
    Kangwei Liu
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  2. Optimal Expert-Attention Allocation in Mixture-of-Experts: A Scalable Law for Dynamic Model Design
    ACL 2026 ·
    Junzhuo Li
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  3. RV-Syn: Rational and Verifiable Mathematical Reasoning Data Synthesis based on Structured Function Library
    EACL 2026 ·
    Jiapeng Wang
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  4. Rethinking Sample Polarity in Reinforcement Learning with Verifiable Rewards
    ACL 2026 ·
    Xinyu Tang
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  5. Token-level Collaborative Alignment for LLM-based Generative Recommendation
    WWW 2026 ·
    Fake Lin
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  6. Arrows of Math Reasoning Data Synthesis for Large Language Models: Diversity, Complexity and Correctness
    CIKM 2025 ·
    Sirui Chen
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  7. BOSE: A Systematic Evaluation Method Optimized for Base Models
    ACL 2025 ·
    Hongzhi Luan
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  8. Effectively PAIRing LLMs with Online Marketing via Progressive Prompting Augmentation
    ICDE 2025 ·
    Chunjing Gan
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  9. Enhanced Insurance Claim Prediction via Decoupled Graph Neural Networks with Pseudo Labeling
    SIGKDD 2025 ·
    Hongrui Liu
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  10. Explore What LLM Does Not Know in Complex Question Answering
    AAAI 2025 ·
    Xin Lin
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  11. FLAG: Fraud Detection with LLM-enhanced Graph Neural Network
    SIGKDD 2025 ·
    Chengdong Yang
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  12. Graph Disentangle Causal Model: Enhancing Causal Inference in Networked Observational Data
    WSDM 2025 ·
    Binbin Hu
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  13. GraphLAMA: Enabling Efficient Adaptation of Graph Language Models with Limited Annotations
    SIGKDD 2025 ·
    Junze Chen
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  14. Have We Designed Generalizable Structural Knowledge Promptings? Systematic Evaluation and Rethinking
    ACL 2025 ·
    Yichi Zhang
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  15. IceBerg: Debiased Self-Training for Class-Imbalanced Node Classification
    WWW 2025 ·
    Zhixun Li
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  16. Incentivizing Dual Process Thinking for Efficient Large Language Model Reasoning
    NeurIPS 2025 ·
    Xiaoxue Cheng
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  17. K-ON: Stacking Knowledge on the Head Layer of Large Language Model
    AAAI 2025 ·
    Lingbing Guo
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  18. KAG: Boosting LLMs in Professional Domains via Knowledge Augmented Generation
    WWW 2025 ·
    Lei Liang
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  19. MAQInstruct: Instruction-based Unified Event Relation Extraction
    WWW 2025 ·
    Jun Xu
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  20. MASS: Mathematical Data Selection via Skill Graphs for Pretraining Large Language Models
    ICML 2025 ·
    Jiazheng Li
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  21. 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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  22. OneKE: A Dockerized Schema-Guided LLM Agent-based Knowledge Extraction System
    WWW 2025 ·
    Yujie Luo
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  23. Retrieve, Summarize, Plan: Advancing Multi-hop Question Answering with an Iterative Approach
    WWW 2025 ·
    Zhouyu Jiang
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  24. Smoothness Really Matters: A Simple Yet Effective Approach for Unsupervised Graph Domain Adaptation
    AAAI 2025 ·
    Wei Chen
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  25. Stable Representation Learning on Graphs from Multiple Environments with Structure Distribution Shift
    SIGKDD 2025 ·
    Tong Zhao
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  26. Unlocking General Long Chain-of-Thought Reasoning Capabilities of Large Language Models via Representation Engineering
    ACL 2025 ·
    Xinyu Tang
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  27. Adaptively Denoising Graph Neural Networks for Knowledge Distillation
    ECML-PKDD 2024 ·
    Yuxin Guo
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  28. Calibrating Graph Neural Networks from a Data-centric Perspective
    WWW 2024 ·
    Cheng Yang
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  29. Can Small Language Models be Good Reasoners for Sequential Recommendation?
    WWW 2024 ·
    Yuling Wang
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  30. DDCDR: A Disentangle-based Distillation Framework for Cross-Domain Recommendation
    SIGKDD 2024 ·
    Zhicheng An
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  31. Exploiting Associations among Multi-Aspect Node Properties in Heterogeneous Graphs for Link Prediction
    WWW 2024 ·
    Chenguang Du
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  32. Knowledge-augmented Financial Market Analysis and Report Generation
    EMNLP 2024 ·
    Yuemin Chen
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  33. Learning to Plan for Retrieval-Augmented Large Language Models from Knowledge Graphs
    EMNLP 2024 ·
    Junjie Wang
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  34. Leave No One Behind: Online Self-Supervised Self-Distillation for Sequential Recommendation
    WWW 2024 ·
    Shaowei Wei
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  35. MDGNN: Multi-Relational Dynamic Graph Neural Network for Comprehensive and Dynamic Stock Investment Prediction
    AAAI 2024 ·
    Hao Qian
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  36. MKGL: Mastery of a Three-Word Language
    NeurIPS 2024 ·
    Lingbing Guo
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  37. Multi-view Temporal Knowledge Graph Reasoning
    CIKM 2024 ·
    Fuwei Zhang
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  38. Not All Negatives Are Worth Attending to: Meta-Bootstrapping Negative Sampling Framework for Link Prediction
    WSDM 2024 ·
    Yakun Wang
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  39. OneEdit: A Neural-Symbolic Collaboratively Knowledge Editing System
    VLDB 2024 ·
    Ningyu Zhang
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  40. OneGen: Efficient One-Pass Unified Generation and Retrieval for LLMs
    EMNLP 2024 ·
    Jintian Zhang
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  41. Optimizing Long-tailed Link Prediction in Graph Neural Networks through Structure Representation Enhancement
    SIGKDD 2024 ·
    Yakun Wang
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  42. PEACE: Prototype lEarning Augmented transferable framework for Cross-domain rEcommendation
    WSDM 2024 ·
    Chunjing Gan
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  43. ReLand: Integrating Large Language Models' Insights into Industrial Recommenders via a Controllable Reasoning Pool
    RecSys 2024 ·
    Changxin Tian
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  44. Time-Sensitve Retrieval-Augmented Generation for Question Answering
    CIKM 2024 ·
    Feifan Wu
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  45. To Explore or Exploit? A Gradient-informed Framework to Address the Feedback Loop for Graph based Recommendation
    CIKM 2024 ·
    Zhigang Huangfu
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  46. Towards Automatic Evaluation for LLMs' Clinical Capabilities: Metric, Data, and Algorithm
    SIGKDD 2024 ·
    Lei Liu
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