Qiong Chang

Qiong Chang

Assistant Professor

About Me

I am an assistant professor at the Institute of Science Tokyo (formerly Tokyo Institute of Technology), School of Computing. I received my Ph.D. in Intelligent Systems Engineering from the University of Tsukuba. Before joining the Institute of Science Tokyo, I was a researcher at the National Institute of Advanced Industrial Science and Technology (AIST).

Research Interests

  • GPU accelerators: Kernel designs for high-performance computing that leverage GPUs for large-scale data processing.
  • Hardware-aware 3D vision systems: Accelerating complex computer vision algorithms using hardware such as FPGAs and GPUs.
  • High-performance computing for large-scale data: Efficient algorithms and systems for large-scale graph and data processing.

News (2025)

  • Icon[Sep 2025] Our paper “Fast Approximate Aggregation with Error Guarantee Using Encoded Bit-slice Indexing” has been accepted to iiWAS’25.
  • Icon[Jun 2025] Our paper “3D GNLM: Efficient 3D Non-Local Means Kernel with Nested Reuse Strategies for Embedded GPUs” has been accepted for publication in TACO’25.
  • Icon[May 2025] Our paper “FSAC-IA: A HIERARCHICAL CONSTRUCTED SAC-IA ALGORITHM FOR POINT CLOUD ALIGNMENT ACCELERATION” has been accepted to ICIP’25.
  • Icon[May 2025] Our paper “Unified Schema-Driven Graph Polystore: Achieving Transparency in Multi-Model Integration and Migration” has been accepted to DEXA’25.
  • Icon[Mar 2025] Our paper “Faster than Fast: Accelerating Oriented FAST Feature Detection on Low-end Embedded GPUs” has been accepted for publication in TECS’25.
  • Icon[Jan 2025] Our paper “Efficient Parallel Implementation of Non-Local Means Algorithm on GPU” has been accepted to GPGPU’25.
  • Icon[Jan 2025] Our paper “Accelerating Nearest Neighbor Search in 3D Point Cloud Registration on GPUs” has been accepted for publication in TACO’25.