Hao (Richard) Zhang (张皓)
GrUVi Lab, School of Computing Science, SFU.
Email: haoz @ sfu . ca
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I am a Full Professor in the School of Computing Science at SFU, an Amazon Scholar, and I
hold a Distinguished University Professorship.
I obtained my Ph.D. from the Dynamic Graphics Project (DGP) at the University of Toronto, and
MMath and BMath degrees from the University of Waterloo.
I direct the GrUVi (Graphics U Vision) Lab, one of the
top places in the world to conduct computer graphics and
computer vision research.
My research is in computer graphics and more broadly, visual computing, with special
interests in geometric modeling, shape analysis, 3D vision, geometric deep learning, and computational design and fabrication.
I have published more than 170 papers on these topics, including
60+ articles in SIGGRAPH (+Asia) and ACM Trans. on Graphics (TOG),
the top venue in computer graphics, and I have an Erdös
number of 3. My research has been sponsored by Adobe, Autodesk, Boeing, Google, Huawei, MITACS, and NSERC.
I am privileged to have worked with many excellent students and postdocs. As of 2022, twelve of them are working as professors themselves.
Awards and honours won by my current and past students include
the Alain Fournier Best Graphics Thesis Award,
Asia Graphics Young Researcher Award,
National Science Fund for Excellent Young Scholars in China, Azrieli Postdoc Fellowship, winners/finalists of Google, NVidia and Adobe PhD Fellowships,
as well as CVPR 2020 Best Student Paper Award and
Best Paper Award at SGP 2008. Major companies where my students have interned include Adobe, Amazon, Facebook (now Meta),
Google, Huawei, and NVidia.
In my spare time, I play badminton regularly, run about 5-10K per week, ski on blue/black runs (see a recent video of Grouse Mountain skiing with kids), and occasionally come up with
cool puzzles to "challenge" prospective grad students.
- [pinned] A feature story from Amazon Science on my recent CHCCS Achievement Award and my work at Amazon.
- [pinned] Check out Neural Dual Contouring (NDC) (SIGGRAPH 2022), a data-driven mesh reconstruction method that is applicable to ALL sorts of inputs including point clouds (without normals as in classical DC), signed or unsigned distance grids, grid of binary voxels, even non-orientable surfaces such as the Mobious strip. It can be a "one-stop" tool for all your surface reconstruction needs, achieving state-of-the-art results!
- [new] September 8, 2022: Nice to see that three of our papers, GRASS, GRAINS, and SDM-Net, are among the list of Top 103 (H5-index) SIGGRAPH/TOG papers in terms of 5-year citations.
- [new] September 3, 2022: Welcome Yilin Liu, a new PhD to join my group from
Prof. Hui Huang's Visual Computing Research Center at Shenzhen University. Yilin comes
to SFU with already three SIGGRAPH (+Asia) papers, one ECCV paper, and a dataset award under his belt!
- [new] August 7, 2022: A very successful SFU Pre-SIGGRAPH Visual Computing Workshop was held
at SFU downtown campus.
- [new] June 2, 2022: Honored to receive the
Human-Computer Communications Society (CHCCS) Achievement Award in computer graphics. I gave an award keynote at Graphics Interface 2022 in Montreal. See also an Amazon Science Feature about the Award and my role at Amazon.
- [new] March 3, 2022: Three papers accepted to CVPR 2022, all on neural implicits:
UNIST (Unpaired Neural Implicit Shape Translation) - aka IM(Implicit)-LOGAN,
RIM-Net (Recursive Implicit Fields for Unsupervised Learning of Hierarchical Shape Structures), and
CAPRI-Net: Learning Compact CAD Shapes with Adaptive Primitive Assembly - aka BSP-Net+++.
while acknowledging Autodesk for their gift fund support!
- [new] February 28, 2022: Congratulations to Manyi who has officially started as an Associate Researcher
at School of Software, Shandong University.
- November 29, 2021: Starting as an Amazon Scholar today.
- November 19, 2021: Talk at the Toronto Geometry Symposium on From Pyramidality to Monotonicity: New Decomposition and Packing Problems for Fabrication and Planning (Youtube video, starting around 13:00). Here is the nice artistically designed talk poster.
- October 16, 2021: Keynote talk on Unsupervised Learning of 3D Shape Structures at the First ICCV Workshop on Structural and Compositional Learning on 3D Data (StruCo3D). Workshop video recording is on Youtube.
- September 24, 2021: Congrats to Zhiqin Chen for winning a
Google PhD Fellowship in Machine Perception, Speech Technology, and Computer Vision! One of two awarded in Canada and the first at SFU CS!
- September 10, 2021: Three papers accepted to SIGGRAPH Asia 2021: Neural Marching Cubes (NMC) learns how to tessellate an implicit filed, given as SDF or binary voxels, from training meshes, TM-Net provides the first part-aware deep generative model for textured meshes, and DronePath presents a tool for continuous aerial path planning for 3D urban scene reconstruction, which is optimized for both reconstruction fidelity and path quality.
- August 31, 2021: Congrats to Akshay for being selected as an Outstanding Reviewer for ICCV 2021!
- August 25, 2021: Former PhD Rui Ma is starting as an associate professor in the
School of Artificial Intelligence at Jilin University, China.
... More ...
There is a pleasure in the pathless woods;
There is a rapture on the lonely shore;
There is society, where none intrudes,
By the deep sea, and music in its roar;
I love not man the less, but Nature more.
- Lord Byron