Skip to content
View Tianhao1314's full-sized avatar

Block or report Tianhao1314

Block user

Prevent this user from interacting with your repositories and sending you notifications. Learn more about blocking users.

You must be logged in to block users.

Maximum 250 characters. Please don’t include any personal information such as legal names or email addresses. Markdown is supported. This note will only be visible to you.
Report abuse

Contact GitHub support about this user’s behavior. Learn more about reporting abuse.

Report abuse
Tianhao1314/README.md

Tianhao Wu

Learned compression for 3D point clouds — M.Sc. Mechatronics @ FAU Erlangen-Nürnberg, thesis on neural point-cloud attribute codecs (sparse convolutions, multiscale entropy models, variable-rate conditioning).

🎯 Graduating 2026 · seeking roles in point-cloud / 3D compression & neural codecs · PyTorch MinkowskiEngine SLURM G-PCC / MPEG-PCC evaluation

My work has two halves, and I publish the tooling from both:

🔬 Evaluation you can defend — reproducing a state-of-the-art codec meant cross-calibrating two evaluation pipelines against the authors' released models until published numbers reproduced digit-for-digit. The discipline that came out of it lives in pcc-eval-toolkit: Bjontegaard metrics that refuse to produce numbers the data can't support.

⚙️ Training that survives real clusters — multi-week training fleets on a shared SLURM cluster with 24 h walltime caps, zero checkpoint loss. Patterns and scripts in slurm-resilient-training: relay chains, durable checkpoints, single-writer guards.

Earlier: learned prediction inside control loops — sEMG-driven tele-impedance (5 models × 3 horizons, MC-Dropout safety analysis).

📝 Research notes & longer write-ups: tianhao1314.github.io · 📫 Tianhao.Wu.Mechatronik@outlook.com

Thesis results and the full reproduction repo will be released with the thesis.

Pinned Loading

  1. Tianhao1314.github.io Tianhao1314.github.io Public

    Personal site — blog on deep learning for control, robotics, and teleoperation.

    HTML

  2. pcc-eval-toolkit pcc-eval-toolkit Public

    Honest RD evaluation for compression research: gate-checked Bjontegaard (BD-rate) metrics, matched-quality single-point comparison, publication-style RD plots

    Python

  3. semg-impedance-prediction semg-impedance-prediction Public

    PyTorch design-space study: 5 sequence models across 3 prediction horizons for sEMG-based variable-impedance teleoperation latency compensation (synthetic data).

    Python

  4. slurm-resilient-training slurm-resilient-training Public

    Zero-loss deep learning training on shared SLURM clusters: relay chains, durable checkpoints, single-writer guards, queue economics

    Shell