Qiang Huang

Researcher at the National University of Singapore School of Computing, working on inner-product and point-to-hyperplane similarity search. Code is on GitHub.

Known For

  • Diversity-Aware k-Maximum Inner Product Search Revisited (arXiv 2024; extended in The VLDB Journal, 2026), first author. It reformulates diversity-aware Maximum Inner Product Search with average and maximum pairwise-similarity objectives, the Greedy and DualGreedy algorithms, and Ball-Cone Tree pruning.
  • The Ball-Cone Tree (BC-Tree), a lightweight Ball-Tree variant for point-to-hyperplane nearest-neighbour search (with Anthony K.H. Tung, ICDE 2023), which DkMIPS reuses as its index.
  • DiversiNews (PVLDB 2024), co-author and corresponding author — the news-retrieval demo of DkMIPS.

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