World's Best Scientists 2026 revealed!

D-Index & Metrics

Computer Science

D-Index
87
Citations
26583
World Ranking
735
National Ranking
112

Overview

Yu Qiao is a researcher affiliated with the Chinese Academy of Sciences in China, focused on engineering with extensive work in biomedical engineering, mechanical engineering, building and construction, safety, risk, reliability and quality, and materials chemistry. Their primary research interests cover thermochemical biomass conversion processes, recycling and utilization of industrial and municipal waste in materials production, lignin and wood chemistry, fire dynamics and safety research, coal and its by-products, supercapacitor materials and fabrication, and catalysis and hydrodesulfurization studies.

Yu Qiao has published numerous papers in a range of scientific journals. Some recent publications include:

  • Transformation of nitrogen during hydrothermal carbonization of sewage sludge: Effects of temperature and Na/Ca acetates addition, 2020, Proceedings of the Combustion Institute
  • Co-hydrothermal carbonization of sewage sludge and model compounds of food waste: Influence of mutual interaction on nitrogen transformation, 2021, The Science of The Total Environment
  • Smouldering combustion of sewage sludge: Volumetric scale-up, product characterization, and economic analysis, 2021, Fuel
  • Valorization of Food Waste via Torrefaction: Effect of Food Waste Type on the Characteristics of Torrefaction Products, 2020, Energy & Fuels
  • Thermodynamic and techno-economic analysis of hydrogen production from food waste by torrefaction integrated with steam gasification, 2023, Energy Conversion and Management

The frequent co-authors collaborating with Yu Qiao are:

  • Jingchun Huang
  • Zhenqi Wang
  • Minghou Xu
  • Di Xie
  • Wei Hu

Yu Qiao's research is often published in specific scientific venues. The most common publication journals include:

  • Fuel
  • SSRN Electronic Journal
  • Proceedings of the Combustion Institute
  • Energy & Fuels
  • The Science of The Total Environment

The scientist's body of work is concentrated primarily in the field of engineering, with an emphasis on thermochemical and environmental processes involving biomass conversion, waste recycling, and energy production. Their research covers interdisciplinary topics addressing both fundamental chemical processes and applied technologies in energy and environmental engineering.

Best Publications

  • Joint Face Detection and Alignment Using Multitask Cascaded Convolutional Networks

    Kaipeng Zhang;Zhanpeng Zhang;Zhifeng Li;Yu Qiao

  • Temporal Segment Networks: Towards Good Practices for Deep Action Recognition

    Limin Wang;Yuanjun Xiong;Zhe Wang;Yu Qiao

  • A Discriminative Feature Learning Approach for Deep Face Recognition

    Yandong Wen;Kaipeng Zhang;Zhifeng Li;Yu Qiao

  • NTIRE 2017 Challenge on Single Image Super-Resolution: Methods and Results

    Radu Timofte;Eirikur Agustsson;Luc Van Gool;Ming-Hsuan Yang

  • Bevformer: learning bird's-eye-view representation from lidar-camera via spatiotemporal transformers

    Unknown

  • ESRGAN: Enhanced Super-Resolution Generative Adversarial Networks

    Xintao Wang;Ke Yu;Shixiang Wu;Jinjin Gu

  • Detecting Text in Natural Image with Connectionist Text Proposal Network

    Zhi Tian;Weilin Huang;Weilin Huang;Tong He;Pan He

  • Internimage: Exploring large-scale vision foundation models with deformable convolutions

    Unknown

  • Region Attention Networks for Pose and Occlusion Robust Facial Expression Recognition

    Kai Wang;Xiaojiang Peng;Jianfei Yang;Debin Meng

  • Llama-adapter: Efficient fine-tuning of language models with zero-init attention

    Unknown

  • Animatediff: Animate your personalized text-to-image diffusion models without specific tuning

    Unknown

  • Planning-oriented autonomous driving

    Unknown

  • Videochat: Chat-centric video understanding

    Unknown

  • Vision transformer adapter for dense predictions

    Unknown

  • Llama-adapter v2: Parameter-efficient visual instruction model

    Unknown

  • Towards Good Practices for Very Deep Two-Stream ConvNets

    Limin Wang;Yuanjun Xiong;Zhe Wang;Yu Qiao

  • Pointclip: Point cloud understanding by clip

    Unknown

  • How far are we to gpt-4v? closing the gap to commercial multimodal models with open-source suites

    Unknown

  • Visionllm: Large language model is also an open-ended decoder for vision-centric tasks

    Unknown

  • Efficient image super-resolution using pixel attention

    Unknown

  • Uniformer: Unifying convolution and self-attention for visual recognition

    Unknown

  • Videomae v2: Scaling video masked autoencoders with dual masking

    Unknown

  • Tip-adapter: Training-free adaption of clip for few-shot classification

    Unknown

  • Internvideo: General video foundation models via generative and discriminative learning

    Unknown

  • Mvbench: A comprehensive multi-modal video understanding benchmark

    Unknown

  • Uniformer: Unified transformer for efficient spatiotemporal representation learning

    Unknown

  • Vbench: Comprehensive benchmark suite for video generative models

    Unknown

  • Bevformer v2: Adapting modern image backbones to bird's-eye-view recognition via perspective supervision

    Unknown

Frequent Co-Authors

Haoshen Zhou
Haoshen Zhou Nanjing University
Limin Wang
Limin Wang Nanjing University
Minghou Xu
Minghou Xu Huazhong University of Science and Technology
Xiaoou Tang
Xiaoou Tang Chinese University of Hong Kong
Chao Dong
Chao Dong Shenzhen Institutes of Advanced Technology
Zhifeng Li
Zhifeng Li Tencent (China)
Ping He
Ping He Nanjing University
Hong Yao
Hong Yao Huazhong University of Science and Technology
Luc Van Gool
Luc Van Gool Institute for Computer Science, Artificial Intelligence and Technology (INSAIT)
Jianfei Yang
Jianfei Yang Nanyang Technological University

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