PPaperPicks

Zhengkui Wang

Singapore Institute of Technology, InfoComm Technology Cluster, Singapore

17 papers at tracked venues · 14 at CORE A* · active 2024–2026

DBLP profile ↗ORCID 0000-0003-4554-0791 ↗Homepage ↗

Venues

AAAI ×4ACL ×2CIKM ×2ICDE ×2ICML ×2WWW ×2IJCAI ×1NeurIPS ×1SIGKDD ×1

Frequent coauthors

Yuhai Zhao
×14
Xingwei Wang
×10
Yejiang Wang
×9
Miaomiao Huang
×8
Wen Shan
×8
Meixia Wang
×6
Ling Li
×4
Fenglong Ma
×4
Avinash Anand
×3
Rajiv Ratn Shah
×3
Shirui Pan
×3
Yuan Li
×3

Papers

  1. Better and Worse with Scale: How Contextual Entrainment Diverges with Model Size
    ACL 2026 ·
    Dikshant Kukreja
    ,
    Kshitij Sah
    ,
    Gautam Gupta
    ,
    Avinash Anand
    ,
    Rajiv Ratn Shah
    , Zhengkui Wang,
    Aik Beng Ng
    ,
    Erik Cambria
  2. Graph-to-Tree: Topological Decomposition for Self-Supervised Learning
    WWW 2026 ·
    Yejiang Wang
    ,
    Yuhai Zhao
    ,
    Fangting Li
    ,
    Jiapu Wang
    ,
    Meixia Wang
    ,
    Ling Li
    ,
    Miaomiao Huang
    , Zhengkui Wang,
    Shirui Pan
  3. Hierarchical Graph-Bag-Network for Self-Supervised Multi-Graph Learning
    WWW 2026 ·
    Meixia Wang
    ,
    Yuhai Zhao
    , Zhengkui Wang,
    Fenglong Ma
    ,
    Yejiang Wang
    ,
    Miaomiao Huang
    ,
    Fazal Wahab
    ,
    Wen Shan
    ,
    Xingwei Wang
  4. IRIS: Interleaved Reinforcement with Incremental Staged Curriculum for Cross-Lingual Mathematical Reasoning
    ACL 2026 ·
    Navya Gupta
    ,
    Rishitej Reddy Vyalla
    ,
    Avinash Anand
    ,
    Chhavi Kirtani
    ,
    Erik Cambria
    ,
    Zhengchen Zhang
    , Zhengkui Wang,
    Timothy Liu
    ,
    Aik Beng Ng
    ,
    Simon See
    ,
    Rajiv Ratn Shah
  5. Multi-graph Fusion Cross-model Contrastive Learning for Recommendation
    AAAI 2026 ·
    Shengjun Ma
    ,
    Yuhai Zhao
    ,
    Fenglong Ma
    ,
    Baoyin Liu
    , Zhengkui Wang,
    Wen Shan
  6. Self-Supervised Contrastive Re-Learning for Multi-Graph Multi-Label Classification
    AAAI 2026 ·
    Meixia Wang
    ,
    Yuhai Zhao
    , Zhengkui Wang,
    Yejiang Wang
    ,
    Miaomiao Huang
    ,
    Fenglong Ma
    ,
    Fazal Wahab
    ,
    Wen Shan
    ,
    Xingwei Wang
  7. When Equal Isn't Fair: Mitigating Over-Normalization in Large Language Models (Student Abstract)
    AAAI 2026 ·
    Ravada Satyadev
    ,
    Aditya Ganesh Kumar
    ,
    Avinash Anand
    ,
    Rajiv Ratn Shah
    , Zhengkui Wang,
    Mukesh Prasad
  8. Coloring Learning for Heterophilic Graph Representation
    NeurIPS 2025 ·
    Miaomiao Huang
    ,
    Yuhai Zhao
    , Daniel Zhengkui Wang,
    Fenglong Ma
    ,
    Yejiang Wang
    ,
    Meixia Wang
    ,
    Xingwei Wang
  9. Discovering Group Collapser for Network Resilience
    CIKM 2025 ·
    Guozhang Sun
    ,
    Haoyuan Wang
    ,
    Yuhai Zhao
    , Zhengkui Wang,
    Yuan Li
    ,
    Xingwei Wang
  10. Equivalence is All: A Unified View for Self-supervised Graph Learning
    ICML 2025 ·
    Yejiang Wang
    ,
    Yuhai Zhao
    , Zhengkui Wang,
    Ling Li
    ,
    Jiapu Wang
    ,
    Fangting Li
    ,
    Miaomiao Huang
    ,
    Shirui Pan
    ,
    Xingwei Wang
  11. Graph Contrastive Learning with Progressive Augmentations
    SIGKDD 2025 ·
    Yuhai Zhao
    ,
    Yejiang Wang
    , Zhengkui Wang,
    Wen Shan
    ,
    Miaomiao Huang
    ,
    Xingwei Wang
  12. Hybrid2: Distributed GNN Training System Enhanced by Dual-Hybrid for Sampling and Loading
    CIKM 2025 ·
    Chu Zhao
    ,
    Shengjie Dong
    ,
    Yuhai Zhao
    ,
    Yuan Li
    , Zhengkui Wang,
    Xingwei Wang
  13. N2GON: Neural Networks for Graph-of-Net with Position Awareness
    ICML 2025 ·
    Yejiang Wang
    ,
    Yuhai Zhao
    , Zhengkui Wang,
    Wen Shan
    ,
    Ling Li
    ,
    Qian Li
    ,
    Miaomiao Huang
    ,
    Meixia Wang
    ,
    Shirui Pan
    ,
    Xingwei Wang
  14. Efficient Community Search in Edge-Attributed Graphs (Extended Abstract)
    ICDE 2024 ·
    Ling Li
    ,
    Yuhai Zhao
    ,
    Siqiang Luo
    ,
    Guoren Wang
    , Zhengkui Wang
  15. Limited-Supervised Multi-Label Learning with Dependency Noise
    AAAI 2024 ·
    Yejiang Wang
    ,
    Yuhai Zhao
    , Zhengkui Wang,
    Wen Shan
    ,
    Xingwei Wang
  16. Self-Training GNN-based Community Search in Large Attributed Heterogeneous Information Networks
    ICDE 2024 ·
    Yuan Li
    ,
    Xiuxu Chen
    ,
    Yuhai Zhao
    ,
    Wen Shan
    , Zhengkui Wang,
    Guoli Yang
    ,
    Guoren Wang
  17. Towards Robust Multi-Label Learning against Dirty Label Noise
    IJCAI 2024 ·
    Yuhai Zhao
    ,
    Yejiang Wang
    , Zhengkui Wang,
    Wen Shan
    ,
    Miaomiao Huang
    ,
    Meixia Wang
    ,
    Min Huang
    ,
    Xingwei Wang