Tianqi Tang
Researcher / author (OpenAlex)
Facts
2 properties- Affiliation
- Harbin Institute of Technologyas of 2026-09-23
where from?
- Source
- OpenAlex
- Edition
- 20260923 · as of 2026-09-23
- Licence
- CC0 1.0 Universal
- Bronze
- not in the catalog
- Transform
- 4ort-mint · openalex:20260923 · version not recorded
🔖 Identifiers · 2
- ORCID iD
- 0000-0001-8255-985X
- OpenAlex ID
- A5101663599as of 2026-09-23
where from?
- Source
- OpenAlex
- Edition
- 20260923 · as of 2026-09-23
- Licence
- CC0 1.0 Universal
- Bronze
- not in the catalog
- Transform
- 4ort-mint · openalex:20260923 · version not recorded
📚 Sources · 1
📜 Data licence
Source: OpenAlex (openalex.org), snapshot of 2026-09-23. CC0 1.0 Universal. CC0 1.0 Universal · OpenAlex
🔗 Connections
Author of 22
A Survey of Accelerator Architectures for Deep Neural Networks,
Binary convolutional neural network on RRAM,
Drag coefficient prediction for non-spherical particles in dense gas–solid two-phase flow using artificial neural network,
Energy-efficient neuromorphic computation based on compound spin synapse with stochastic learning,
Energy Efficient RRAM Spiking Neural Network for Real Time Classification,
Going Deeper with Embedded FPGA Platform for Convolutional Neural Network,
Low Bit-Width Convolutional Neural Network on RRAM,
Low power Convolutional Neural Networks on a chip
+14 more
← Authored by 22
A Survey of Accelerator Architectures for Deep Neural Networks,
Binary convolutional neural network on RRAM,
Drag coefficient prediction for non-spherical particles in dense gas–solid two-phase flow using artificial neural network,
Energy-efficient neuromorphic computation based on compound spin synapse with stochastic learning,
Energy Efficient RRAM Spiking Neural Network for Real Time Classification,
Going Deeper with Embedded FPGA Platform for Convolutional Neural Network,
Low Bit-Width Convolutional Neural Network on RRAM,
Low power Convolutional Neural Networks on a chip
+14 more
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Summary
Tianqi Tang is a human[1].