Shimin DI

Selected Interesting Pre-prints and Papers

FULL PUBLICATION LIST

  • Knowledge Benchmark Graph: Assisting Large Language Models in Designing Models by Retrieving Benchmark Knowledge [N-Auto][LLM][KG]
      13rd International Conference on Learning Representations (ICLR 2025)
      Hanmo LIU, Shimin DI, Jialiang WANG, Zhili WANG, Jiachuan WANG, Xiaofang ZHOU, Lei CHEN
    Preprint
  • FGRCAT: A Fine-Grained Reasoning Framework through Causality and Adversarial Training [Adversarial]
      Expert Systems with Applications (ESWA 2025)
      Hanghui GUO, Shimin DI, Zhangze CHEN, Changfan PAN, Chaojun MENG, Jia ZHU
    To appear soon
  • Efficient Latent-based Scoring Function Search for N-ary Relational Knowledge Bases [KG]
      ACM Transactions on Knowledge Discovery from Data (TKDD 2024)
      Shimin DI, Quanming YAO, Yongqi ZHANG*, Xiaofang ZHOU, Lei CHEN
    DOI
  • A Universal and Interpretable Method for Enhancing Stock Price Prediction
      33rd ACM International Conference on Information and Knowledge Management (CIKM 2024)
      Yuchen LIU, Shimin DI*, Lei CHEN, Xiaofang ZHOU and Fei LIN
    DOI
  • Learning from Emergence: A Study on Proactively Inhibiting the Monosemantic Neurons of Artificial Neural Networks [LLM][Emergence]
      30TH ACM SIGKDD Conference on Knowledge Discovery and Data Mining (SIGKDD 2024)
      Jiachuan WANG, Shimin DI*, Lei CHEN, Charles Wang-wai NG
    Arxiv DOI Slides(pdf) CODE
  • SimDiff: Simple Denoising Probabilistic Latent Diffusion Model for data augmentation on Multi-modal Knowledge Graph [KG]
      30TH ACM SIGKDD Conference on Knowledge Discovery and Data Mining (SIGKDD 2024)
      Ran LI, Shimin DI*, Lei CHEN, Xiaofang ZHOU
    DOI
  • Fight Fire with Fire: Towards Robust Graph Neural Networks on Dynamic Graphs via Actively Defense [GNN][Adversarial]
      50TH International Conference on Very Large Databases (VLDB 2024)
      Haoyang LI, Shimin DI*, Calvin LI, Lei CHEN, Xiaofang ZHOU
    PAPER (pdf) DOI
  • GradGCL: Gradient Graph Contrastive Learning [GNN][Contrastive]
      40TH IEEE International Conference on Data Engineering (ICDE 2024)
      Ran LI, Shimin DI*, Lei CHEN, Xiaofang ZHOU
    PAPER (pdf) DOI CODE
  • Search to Fine-tune Pre-trained Graph Neural Networks for Graph-level Tasks [AutoGNN]
      40TH IEEE International Conference on Data Engineering (ICDE 2024)
      Zhili WANG, Shimin DI*, Lei CHEN, Xiaofang ZHOU
    PAPER (pdf) DOI CODE
  • E2GCL: Efficient and Expressive Contrastive Learning on Graph Neural Networks [GNN][Contrastive]
      40TH IEEE International Conference on Data Engineering (ICDE 2024)
      Haoyang LI, Shimin DI*, Lei CHEN, Xiaofang ZHOU
    PAPER (pdf) DOI
  • Effective Data Selection and Replay for Unsupervised Continual Learning
      40TH IEEE International Conference on Data Engineering (ICDE 2024)
      Hanmo LIU, Shimin DI*, Haoyang LI, Shuangyin LI, Lei CHEN, Xiaofang ZHOU
    PAPER (pdf) DOI CODE
  • Message Function Search for Knowledge Graph Embedding [AutoGNN][KG]
      32TH Proceedings of the ACM Web Conference (WWW 2023)
      Shimin DI, Lei CHEN*
    PAPER (pdf) DOI
  • Noise2Info: Noisy Image to Information of Noise for Self-Supervised Image Denoising
      Proceedings of the IEEE/CVF International Conference on Computer Vision (ICCV 2023)
      Jiachuan WANG, Shimin DI*, Lei CHEN, Charles Wang Wai NG
    PAPER (pdf) LINK CODE
  • A Message Passing Neural Network Space for Better Capturing Data-dependent Receptive Fields [AutoGNN]
      29TH ACM SIGKDD Conference on Knowledge Discovery and Data Mining (SIGKDD 2023)
      Zhili WANG, Shimin DI*, Lei CHEN
    PAPER (pdf) DOI CODE VIDEO
  • Incremental Tabular Learning on Heterogeneous Feature Space
      Proceedings of the ACM on Management of Data (SIGMOD 2023)
      Hanmo LIU, Shimin DI*, Lei CHEN
    PAPER (pdf) DOI CODE
  • Revisiting Injective Attacks on Recommender Systems [Adversarial]
      36TH Advances in Neural Information Processing Systems (NeurIPS 2022)
      Haoyang LI, Shimin DI*, Lei CHEN
    PAPER (pdf) LINK
  • Black-box Adversarial Attack and Defense on Graph Neural Networks [GNN][Adversarial]
      IEEE 38th International Conference on Data Engineering (ICDE 2022)
      Haoyang LI, Shimin DI*, Zijian LI, Lei CHEN, Jiannong CAO
    PAPER (pdf) LINK
  • Searching to Sparsify Tensor Decomposition for N-ary Relational Data [KG]
      30TH Proceedings of the ACM Web Conference (WWW 2021)
      Shimin DI, Quanming YAO*, Lei CHEN
    PAPER (pdf) DOI CODE
  • Efficient Relation-aware Scoring Function Search for Knowledge Graph Embedding [KG]
      IEEE 37th International Conference on Data Engineering (ICDE 2021)
      Shimin DI, Yongqi ZHANG, Quanming YAO*, Lei CHEN
    PAPER (pdf) LINK CODE
  • AutoGEL: An Automated Graph Neural Network with Explicit Link Information [AutoGNN]
      35TH Advances in Neural Information Processing Systems (NeurIPS 2021)
      Zhili WANG, Shimin DI*, Lei CHEN
    PAPER (pdf) LINK CODE
  • FluxEV: A Fast and Effective Unsupervised Framework for Time-Series Anomaly Detection
      14TH ACM International Conference on Web Search and Data Mining (WSDM 2021)
      Jia LI, Shimin DI, Yanyan SHEN*, Lei CHEN
    PAPER (pdf) DOI CODE
  • Relation Extraction via Domain-aware Transfer Learning [KG]
      25TH ACM SIGKDD Conference on Knowledge Discovery and Data Mining (SIGKDD 2019)
      Shimin DI, Yanyan SHEN*, Lei CHEN
    PAPER (pdf) DOI
  • Transfer Learning via Feature Isomorphism Discovery
      24TH ACM SIGKDD Conference on Knowledge Discovery and Data Mining (SIGKDD 2018)
      Shimin DI, Jingshu PENG, Yanyan SHEN*, Lei CHEN
    PAPER (pdf) DOI