Jingwen Leng
Researcher / author (OpenAlex)
Facts
2 properties- Affiliation
- Shanghai Jiao Tong University, Tencent, Shanghai FRP Research Institute (China), Qi2, ShangHai JiAi Genetics & IVF Instituteas 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
- 0000-0002-5660-5493
- OpenAlex ID
- A5003939279as 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
📜 Data licence
Source: OpenAlex (openalex.org), snapshot of 2026-09-23. CC0 1.0 Universal. CC0 1.0 Universal · OpenAlex
🔗 Connections
Author of 24
Accelerating Sparse DNN Models without Hardware-Support via Tile-Wise Sparsity,
Adversarial Defense Through Network Profiling Based Path Extraction,
AlphaR: Learning-Powered Resource Management for Irregular, Dynamic Microservice Graph,
A multi-degree-of-freedom clamping type traveling-wave ultrasonic motor,
ANT: Exploiting Adaptive Numerical Data Type for Low-bit Deep Neural Network Quantization,
Architectural Implication of Graph Neural Networks,
Block-Skim: Efficient Question Answering for Transformer,
Cicero: Addressing Algorithmic and Architectural Bottlenecks in Neural Rendering by Radiance Warping and Memory Optimizations
+16 more
← Authored by 24
Accelerating Sparse DNN Models without Hardware-Support via Tile-Wise Sparsity,
Adversarial Defense Through Network Profiling Based Path Extraction,
AlphaR: Learning-Powered Resource Management for Irregular, Dynamic Microservice Graph,
A multi-degree-of-freedom clamping type traveling-wave ultrasonic motor,
ANT: Exploiting Adaptive Numerical Data Type for Low-bit Deep Neural Network Quantization,
Architectural Implication of Graph Neural Networks,
Block-Skim: Efficient Question Answering for Transformer,
Cicero: Addressing Algorithmic and Architectural Bottlenecks in Neural Rendering by Radiance Warping and Memory Optimizations
+16 more
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Summary
Jingwen Leng is a human[1].