PPaperPicks

Zhiqiang Zhang

Ant Financial Services Group, Hangzhou, China

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

Venues

Frequent coauthors

Jun Zhou
×29
Binbin Hu
×14
Ziqi Liu
×11
Mengshu Sun
×10
Huajun Chen
×8
Lei Liang
×7
Daixin Wang
×7
Changxin Tian
×5
Jinjie Gu
×5
Zhengwei Wu
×5
Wen Zhang
×5
Xin Zhao
×4

Papers

  1. LookAhead Tuning: Safer Language Models via Partial Answer Previews
    WSDM 2026 ·
    Kangwei Liu
    ,
    Mengru Wang
    ,
    Yujie Luo
    ,
    Lin Yuan
    ,
    Mengshu Sun
    ,
    Lei Liang
    , Zhiqiang Zhang,
    Jun Zhou
    ,
    Bryan Hooi
    ,
    Shumin Deng
  2. Optimal Expert-Attention Allocation in Mixture-of-Experts: A Scalable Law for Dynamic Model Design
    ACL 2026 ·
    Junzhuo Li
    ,
    Peijie Jiang
    ,
    Changxin Tian
    ,
    Jia Liu
    , Zhiqiang Zhang,
    Xuming Hu
  3. RV-Syn: Rational and Verifiable Mathematical Reasoning Data Synthesis based on Structured Function Library
    EACL 2026 ·
    Jiapeng Wang
    ,
    Jinhao Jiang
    , Zhiqiang Zhang,
    Jun Zhou
    ,
    Xin Zhao
  4. Rethinking Sample Polarity in Reinforcement Learning with Verifiable Rewards
    ACL 2026 ·
    Xinyu Tang
    ,
    Yuliang Zhan
    ,
    Zhixun Li
    ,
    Xin Zhao
    ,
    Zhenduo Zhang
    ,
    Zujie Wen
    , Zhiqiang Zhang,
    Jun Zhou
  5. Token-level Collaborative Alignment for LLM-based Generative Recommendation
    WWW 2026 ·
    Fake Lin
    ,
    Binbin Hu
    ,
    Zhi Zheng
    ,
    Xi Zhu
    ,
    Ziqi Liu
    , Zhiqiang Zhang,
    Jun Zhou
    ,
    Tong Xu
  6. Arrows of Math Reasoning Data Synthesis for Large Language Models: Diversity, Complexity and Correctness
    CIKM 2025 ·
    Sirui Chen
    ,
    Changxin Tian
    ,
    Binbin Hu
    ,
    Kunlong Chen
    ,
    Ziqi Liu
    , Zhiqiang Zhang,
    Jun Zhou
  7. BOSE: A Systematic Evaluation Method Optimized for Base Models
    ACL 2025 ·
    Hongzhi Luan
    ,
    Changxin Tian
    ,
    Zhaoxin Huan
    ,
    Xiaolu Zhang
    ,
    Kunlong Chen
    , Zhiqiang Zhang,
    Jun Zhou
  8. Effectively PAIRing LLMs with Online Marketing via Progressive Prompting Augmentation
    ICDE 2025 ·
    Chunjing Gan
    ,
    Dan Yang
    ,
    Binbin Hu
    ,
    Ziqi Liu
    ,
    Yue Shen
    , Zhiqiang Zhang,
    Jinjie Gu
    ,
    Jun Zhou
    ,
    Guannan Zhang
  9. Enhanced Insurance Claim Prediction via Decoupled Graph Neural Networks with Pseudo Labeling
    SIGKDD 2025 ·
    Hongrui Liu
    ,
    Daixin Wang
    ,
    Yifan Wu
    , Zhiqiang Zhang,
    Xiaobo Qin
  10. Explore What LLM Does Not Know in Complex Question Answering
    AAAI 2025 ·
    Xin Lin
    ,
    Zhenya Huang
    , Zhiqiang Zhang,
    Jun Zhou
    ,
    Enhong Chen
  11. FLAG: Fraud Detection with LLM-enhanced Graph Neural Network
    SIGKDD 2025 ·
    Chengdong Yang
    ,
    Hongrui Liu
    ,
    Daixin Wang
    , Zhiqiang Zhang,
    Cheng Yang
    ,
    Chuan Shi
  12. Graph Disentangle Causal Model: Enhancing Causal Inference in Networked Observational Data
    WSDM 2025 ·
    Binbin Hu
    ,
    Zhicheng An
    ,
    Zhengwei Wu
    ,
    Ke Tu
    ,
    Ziqi Liu
    , Zhiqiang Zhang,
    Jun Zhou
    ,
    Yufei Feng
    ,
    Jiawei Chen
  13. GraphLAMA: Enabling Efficient Adaptation of Graph Language Models with Limited Annotations
    SIGKDD 2025 ·
    Junze Chen
    ,
    Cheng Yang
    ,
    Shujie Li
    , Zhiqiang Zhang,
    Yawen Li
    ,
    Junping Du
    ,
    Chuan Shi
  14. Have We Designed Generalizable Structural Knowledge Promptings? Systematic Evaluation and Rethinking
    ACL 2025 ·
    Yichi Zhang
    ,
    Zhuo Chen
    ,
    Lingbing Guo
    ,
    Yajing Xu
    ,
    Shaokai Chen
    ,
    Mengshu Sun
    ,
    Binbin Hu
    , Zhiqiang Zhang,
    Lei Liang
    ,
    Wen Zhang
    ,
    Huajun Chen
  15. IceBerg: Debiased Self-Training for Class-Imbalanced Node Classification
    WWW 2025 ·
    Zhixun Li
    ,
    Dingshuo Chen
    ,
    Tong Zhao
    ,
    Daixin Wang
    ,
    Hongrui Liu
    , Zhiqiang Zhang,
    Jun Zhou
    ,
    Jeffrey Xu Yu
  16. Incentivizing Dual Process Thinking for Efficient Large Language Model Reasoning
    NeurIPS 2025 ·
    Xiaoxue Cheng
    ,
    Junyi Li
    ,
    Zhenduo Zhang
    ,
    Xinyu Tang
    ,
    Xin Zhao
    ,
    Xinyu Kong
    , Zhiqiang Zhang
  17. K-ON: Stacking Knowledge on the Head Layer of Large Language Model
    AAAI 2025 ·
    Lingbing Guo
    ,
    Yichi Zhang
    ,
    Zhongpu Bo
    ,
    Zhuo Chen
    ,
    Mengshu Sun
    , Zhiqiang Zhang,
    Wen Zhang
    ,
    Huajun Chen
  18. KAG: Boosting LLMs in Professional Domains via Knowledge Augmented Generation
    WWW 2025 ·
    Lei Liang
    ,
    Zhongpu Bo
    ,
    Zhengke Gui
    ,
    Zhongshu Zhu
    ,
    Ling Zhong
    ,
    Peilong Zhao
    ,
    Mengshu Sun
    , Zhiqiang Zhang,
    Jun Zhou
    ,
    Wenguang Chen
    ,
    Wen Zhang
    ,
    Huajun Chen
  19. MAQInstruct: Instruction-based Unified Event Relation Extraction
    WWW 2025 ·
    Jun Xu
    ,
    Mengshu Sun
    , Zhiqiang Zhang,
    Jun Zhou
  20. MASS: Mathematical Data Selection via Skill Graphs for Pretraining Large Language Models
    ICML 2025 ·
    Jiazheng Li
    ,
    Lu Yu
    ,
    Qing Cui
    , Zhiqiang Zhang,
    Jun Zhou
    ,
    Yanfang Ye
    ,
    Chuxu Zhang
  21. Mix Data or Merge Models? Balancing the Helpfulness, Honesty, and Harmlessness of Large Language Model via Model Merging
    NeurIPS 2025 ·
    Jinluan Yang
    ,
    Dingnan Jin
    ,
    Anke Tang
    ,
    Li Shen
    ,
    Didi Zhu
    ,
    Zhengyu Chen
    ,
    Ziyu Zhao
    ,
    Daixin Wang
    ,
    Qing Cui
    , Zhiqiang Zhang,
    Jun Zhou
    ,
    Fei Wu
    ,
    Kun Kuang
  22. OneKE: A Dockerized Schema-Guided LLM Agent-based Knowledge Extraction System
    WWW 2025 ·
    Yujie Luo
    ,
    Xiangyuan Ru
    ,
    Kangwei Liu
    ,
    Lin Yuan
    ,
    Mengshu Sun
    ,
    Ningyu Zhang
    ,
    Lei Liang
    , Zhiqiang Zhang,
    Jun Zhou
    ,
    Lanning Wei
    ,
    Da Zheng
    ,
    Haofen Wang
    ,
    Huajun Chen
  23. Retrieve, Summarize, Plan: Advancing Multi-hop Question Answering with an Iterative Approach
    WWW 2025 ·
    Zhouyu Jiang
    ,
    Mengshu Sun
    ,
    Lei Liang
    , Zhiqiang Zhang
  24. Smoothness Really Matters: A Simple Yet Effective Approach for Unsupervised Graph Domain Adaptation
    AAAI 2025 ·
    Wei Chen
    ,
    Guo Ye
    ,
    Yakun Wang
    ,
    Zhao Zhang
    ,
    Libang Zhang
    ,
    Daixin Wang
    , Zhiqiang Zhang,
    Fuzhen Zhuang
  25. Stable Representation Learning on Graphs from Multiple Environments with Structure Distribution Shift
    SIGKDD 2025 ·
    Tong Zhao
    ,
    Daixin Wang
    , Zhiqiang Zhang,
    Yulin Kang
    ,
    Jun Zhou
  26. Unlocking General Long Chain-of-Thought Reasoning Capabilities of Large Language Models via Representation Engineering
    ACL 2025 ·
    Xinyu Tang
    ,
    Xiaolei Wang
    ,
    Zhihao Lv
    ,
    Yingqian Min
    ,
    Xin Zhao
    ,
    Binbin Hu
    ,
    Ziqi Liu
    , Zhiqiang Zhang
  27. Adaptively Denoising Graph Neural Networks for Knowledge Distillation
    ECML-PKDD 2024 ·
    Yuxin Guo
    ,
    Cheng Yang
    ,
    Chuan Shi
    ,
    Ke Tu
    ,
    Zhengwei Wu
    , Zhiqiang Zhang,
    Jun Zhou
  28. Calibrating Graph Neural Networks from a Data-centric Perspective
    WWW 2024 ·
    Cheng Yang
    ,
    Chengdong Yang
    ,
    Chuan Shi
    ,
    Yawen Li
    , Zhiqiang Zhang,
    Jun Zhou
  29. Can Small Language Models be Good Reasoners for Sequential Recommendation?
    WWW 2024 ·
    Yuling Wang
    ,
    Changxin Tian
    ,
    Binbin Hu
    ,
    Yanhua Yu
    ,
    Ziqi Liu
    , Zhiqiang Zhang,
    Jun Zhou
    ,
    Liang Pang
    ,
    Xiao Wang
  30. DDCDR: A Disentangle-based Distillation Framework for Cross-Domain Recommendation
    SIGKDD 2024 ·
    Zhicheng An
    ,
    Zhexu Gu
    ,
    Li Yu
    ,
    Ke Tu
    ,
    Zhengwei Wu
    ,
    Binbin Hu
    , Zhiqiang Zhang,
    Lihong Gu
    ,
    Jinjie Gu
  31. Exploiting Associations among Multi-Aspect Node Properties in Heterogeneous Graphs for Link Prediction
    WWW 2024 ·
    Chenguang Du
    ,
    Hao Geng
    ,
    Deqing Wang
    ,
    Fuzhen Zhuang
    , Zhiqiang Zhang,
    Lanshan Zhang
  32. Knowledge-augmented Financial Market Analysis and Report Generation
    EMNLP 2024 ·
    Yuemin Chen
    ,
    Feifan Wu
    ,
    Jingwei Wang
    ,
    Hao Qian
    ,
    Ziqi Liu
    , Zhiqiang Zhang,
    Jun Zhou
    ,
    Meng Wang
  33. Learning to Plan for Retrieval-Augmented Large Language Models from Knowledge Graphs
    EMNLP 2024 ·
    Junjie Wang
    ,
    Mingyang Chen
    ,
    Binbin Hu
    ,
    Dan Yang
    ,
    Ziqi Liu
    ,
    Yue Shen
    ,
    Peng Wei
    , Zhiqiang Zhang,
    Jinjie Gu
    ,
    Jun Zhou
    ,
    Jeff Z. Pan
    ,
    Wen Zhang
    ,
    Huajun Chen
  34. Leave No One Behind: Online Self-Supervised Self-Distillation for Sequential Recommendation
    WWW 2024 ·
    Shaowei Wei
    ,
    Zhengwei Wu
    ,
    Xin Li
    ,
    Qintong Wu
    , Zhiqiang Zhang,
    Jun Zhou
    ,
    Lihong Gu
    ,
    Jinjie Gu
  35. MDGNN: Multi-Relational Dynamic Graph Neural Network for Comprehensive and Dynamic Stock Investment Prediction
    AAAI 2024 ·
    Hao Qian
    ,
    Hongting Zhou
    ,
    Qian Zhao
    ,
    Hao Chen
    ,
    Hongxiang Yao
    ,
    Jingwei Wang
    ,
    Ziqi Liu
    ,
    Fei Yu
    , Zhiqiang Zhang,
    Jun Zhou
  36. MKGL: Mastery of a Three-Word Language
    NeurIPS 2024 ·
    Lingbing Guo
    ,
    Zhongpu Bo
    ,
    Zhuo Chen
    ,
    Yichi Zhang
    ,
    Jiaoyan Chen
    ,
    Yarong Lan
    ,
    Mengshu Sun
    , Zhiqiang Zhang,
    Yangyifei Luo
    ,
    Qian Li
    ,
    Qiang Zhang
    ,
    Wen Zhang
    ,
    Huajun Chen
  37. Multi-view Temporal Knowledge Graph Reasoning
    CIKM 2024 ·
    Fuwei Zhang
    ,
    Zhao Zhang
    ,
    Fuzhen Zhuang
    , Zhiqiang Zhang,
    Jun Zhou
    ,
    Deqing Wang
  38. Not All Negatives Are Worth Attending to: Meta-Bootstrapping Negative Sampling Framework for Link Prediction
    WSDM 2024 ·
    Yakun Wang
    ,
    Binbin Hu
    ,
    Shuo Yang
    ,
    Meiqi Zhu
    , Zhiqiang Zhang,
    Qiyang Zhang
    ,
    Jun Zhou
    ,
    Guo Ye
    ,
    Huimei He
  39. OneEdit: A Neural-Symbolic Collaboratively Knowledge Editing System
    VLDB 2024 ·
    Ningyu Zhang
    ,
    Zekun Xi
    ,
    Yujie Luo
    ,
    Peng Wang
    ,
    Bozhong Tian
    ,
    Yunzhi Yao
    ,
    Jintian Zhang
    ,
    Shumin Deng
    ,
    Mengshu Sun
    ,
    Lei Liang
    , Zhiqiang Zhang,
    Xiaowei Zhu
    ,
    Jun Zhou
    ,
    Huajun Chen
  40. OneGen: Efficient One-Pass Unified Generation and Retrieval for LLMs
    EMNLP 2024 ·
    Jintian Zhang
    ,
    Cheng Peng
    ,
    Mengshu Sun
    ,
    Xiang Chen
    ,
    Lei Liang
    , Zhiqiang Zhang,
    Jun Zhou
    ,
    Huajun Chen
    ,
    Ningyu Zhang
  41. Optimizing Long-tailed Link Prediction in Graph Neural Networks through Structure Representation Enhancement
    SIGKDD 2024 ·
    Yakun Wang
    ,
    Daixin Wang
    ,
    Hongrui Liu
    ,
    Binbin Hu
    ,
    Yingcui Yan
    ,
    Qiyang Zhang
    , Zhiqiang Zhang
  42. PEACE: Prototype lEarning Augmented transferable framework for Cross-domain rEcommendation
    WSDM 2024 ·
    Chunjing Gan
    ,
    Bo Huang
    ,
    Binbin Hu
    ,
    Jian Ma
    , Zhiqiang Zhang,
    Jun Zhou
    ,
    Guannan Zhang
    ,
    Wenliang Zhong
  43. ReLand: Integrating Large Language Models' Insights into Industrial Recommenders via a Controllable Reasoning Pool
    RecSys 2024 ·
    Changxin Tian
    ,
    Binbin Hu
    ,
    Chunjing Gan
    ,
    Haoyu Chen
    ,
    Zhuo Zhang
    ,
    Li Yu
    ,
    Ziqi Liu
    , Zhiqiang Zhang,
    Jun Zhou
    ,
    Jiawei Chen
  44. Time-Sensitve Retrieval-Augmented Generation for Question Answering
    CIKM 2024 ·
    Feifan Wu
    ,
    Lingyuan Liu
    ,
    Wentao He
    ,
    Ziqi Liu
    , Zhiqiang Zhang,
    Haofen Wang
    ,
    Meng Wang
  45. To Explore or Exploit? A Gradient-informed Framework to Address the Feedback Loop for Graph based Recommendation
    CIKM 2024 ·
    Zhigang Huangfu
    ,
    Binbin Hu
    ,
    Zhengwei Wu
    ,
    Fengyu Han
    ,
    Gong-Duo Zhang
    ,
    Lihong Gu
    , Zhiqiang Zhang
  46. Towards Automatic Evaluation for LLMs' Clinical Capabilities: Metric, Data, and Algorithm
    SIGKDD 2024 ·
    Lei Liu
    ,
    Xiaoyan Yang
    ,
    Fangzhou Li
    ,
    Chenfei Chi
    ,
    Yue Shen
    ,
    Shiwei Lyu
    ,
    Ming Zhang
    ,
    Xiaowei Ma
    ,
    Xiangguo Lv
    ,
    Liya Ma
    , Zhiqiang Zhang,
    Wei Xue
    ,
    Yiran Huang
    ,
    Jinjie Gu