Qiang Qiu
Computer Science · Purdue University West Lafayette
Publications
62
Citations
396
Est. group size
—
Recurring co-author estimate
Active years
22
Publishing since 2005
Qiang Qiu works in computer vision and machine learning, with projects spanning image generation, 3D shape reconstruction, video and image retrieval, object detection and recognition, and efficient neural network design for mobile and robotic systems. Recent work focuses on text-to-image generation, diffusion-based image synthesis, and efficient inference methods, alongside earlier contributions to robotics motion planning and person re-identification.
After a dip in output between 2019 and 2022, publication activity picked back up from 2023 onward and has remained steady at around 4-5 papers per year through 2026.
Generated by claude-sonnet-5 from public bibliographic data · Jul 20, 2026
- CacheNoise: Accomplishing More Denoising Steps with Less Noise
Lecture notes in computer science · 2026
- Conditional Text-to-Image Generation with Reference Guidance
2026
- Extra Clients at No Extra Cost: Overcome Data Heterogeneity in Federated Learning with Filter Decomposition
arXiv (Cornell University) · 2025
- Text Embedding is Not All You Need: Attention Control for Text-to-Image Semantic Alignment with Text Self-Attention Maps
2025
- Text Embedding is Not All You Need: Attention Control for Text-to-Image Semantic Alignment with Text Self-Attention Maps
arXiv (Cornell University) · 2024
- BY-SLAM: Dynamic Visual SLAM System Based on BEBLID and Semantic Information Extraction
Sensors · 2024
- ShaderNN: A lightweight and efficient inference engine for real-time applications on mobile GPUs
Neurocomputing · 2024
- Binary Latent Diffusion
arXiv (Cornell University) · 2023
- Multi-View Stereo Network Based on Attention Mechanism and Neural Volume Rendering
Electronics · 2023
- Shadernn: A Lightweight and Efficient Inference Engine for Real-Time Applications on Mobile Gpus
SSRN Electronic Journal · 2023
- Roulette: A Pruning Framework to Train a Sparse Neural Network From Scratch
IEEE Access · 2021
- Motion planning in semistructured environments with teaching roadmaps
Intelligent Service Robotics · 2020
- Single-shot 3D shape reconstruction using deep convolutional neural networks
arXiv (Cornell University) · 2019
- Single-shot 3D shape reconstruction using deep convolutional neural\n networks
arXiv (Cornell University) · 2019
- Task constrained motion planning for 7-degree of freedom manipulators with parameterized submanifolds
Industrial Robot the international journal of robotics research and application · 2018
- arXiv (Cornell University)×16
- Electronic Imaging×2
- Computational Intelligence and Neuroscience×1
- Sensors×1
- Intelligent Service Robotics×1
- David Crandall
Computer Science · Indiana University
- Le Zhang
Computer Science · Purdue University West Lafayette
- Yi Jiang
Computer Science · Purdue University West Lafayette
- Yung-Hsiang Lu
Computer Science · Purdue University West Lafayette
- Min Liu
Computer Science · Purdue University West Lafayette
This profile was generated automatically from public scholarly data (OpenAlex). Group size and activity levels are estimates derived from co-authorship patterns.
Last updated Jul 20, 2026.
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