Tianyi Li

Research output

Research output per year 2018 2023 2024

• 10 Journal article
• 5 Article in proceeding
• 3 Conference article in Journal
• 1 Other contribution
• 2 More
  • 1 PhD thesis
  • 1 Preprint

Research output per year

Research output per year

Search results

• 2023

  Controllable Structure Planning for Energy Internet

  Li, Y., Li, T., Gui, Y., Gao, D. W. & Zhang, Y., 2023, 2022 1st International Conference on Cyber-Energy Systems and Intelligent Energy, ICCSIE 2022. IEEE Signal Processing Society, 6 p. 10175258

  Research output: Contribution to book/anthology/report/conference proceeding › Article in proceeding › Research › peer-review

  • Energy Engineering 100%
  • Controllability 75%
  • Optimisation Problem 25%
  • Simulation Result 25%
  • Main Reason 25%
  1 Citation (Scopus)

• SEA: A Scalable Entity Alignment System

  Wu, J., Li, T., Chen, L., Gao, Y. & Wei, Z., 19 Jul 2023, Proceedings of the 46th International ACM SIGIR Conference on Research and Development in Information Retrieval (SIGIR '23). Association for Computing Machinery, p. 3175-3179 5 p.

  Research output: Contribution to book/anthology/report/conference proceeding › Article in proceeding › Research › peer-review

  Open Access

  File

  • User 100%
  • Graph Neural Network 50%
  • Usability 16%
  • World Application 16%
  • Speed-up 16%
  1 Citation (Scopus)

  68 Downloads (Pure)

• Unsupervised Entity Alignment for Temporal Knowledge Graphs

  Liu, X., Wu, J., Li, T., Chen, L. & Gao, Y., 30 Apr 2023, ACM Web Conference 2023 - Proceedings of the World Wide Web Conference, WWW 2023. Association for Computing Machinery, p. 2528–2538 11 p.

  Research output: Contribution to book/anthology/report/conference proceeding › Article in proceeding › Research › peer-review

  • Graph Matching 100%
  • Data Integration 50%
  • Unsupervised Method 50%
  • Equivalent Entity 50%
  • weighted graph 50%
  7 Citations (Scopus)
• 2022

  ClusterEA: Scalable Entity Alignment with Stochastic Training and Normalized Mini-batch Similarities

  Gao, Y., Liu, X., Wu, J., Li, T., Wang, P. & Chen, L., 2022, KDD '22: Proceedings of the 28th ACM SIGKDD Conference on Knowledge Discovery and Data Mining. Association for Computing Machinery, p. 421-431 11 p.

  Research output: Contribution to book/anthology/report/conference proceeding › Article in proceeding › Research › peer-review

  • Equivalent Entity 100%
  • World Application 50%
  • Normalization Approach 50%
  13 Citations (Scopus)

• Evolutionary Clustering of Moving Objects

  Li, T., Jensen, C. S., Pedersen, T. B., Gao, Y. & Hu, J., 2022, Proceedings - 2022 IEEE 38th International Conference on Data Engineering, ICDE 2022. IEEE Computer Society Press, p. 2399-2411 13 p. (Proceedings - International Conference on Data Engineering, Vol. 2022-May).

  Research output: Contribution to book/anthology/report/conference proceeding › Article in proceeding › Research › peer-review

  • Clustering 100%
  • Optimization Problem 50%
  • Optimization Technique 50%
  • Tracking Technology 50%
  • Clustering Quality 50%
  26 Citations (Scopus)

  17 Downloads (Pure)