Minglang, Qiao Postdoctoral Applicant Multimedia Computing Towards Communications (MC2) Lab School of Electronics and Information Engineering, Beihang University Beijing, 100191, China Email: minglangqiao@buaa.edu.cn [Google Scholar] [Github]

About Me

I am a postdoctoral applicant from the Multimedia Computing Towards Communications Lab at Beihang University, China, where I collaborated with Prof. Mai Xu.

My research interests focus on computer vision and its applications in video processing, including video quality enhancement and assessment, video perception, salient object detection and perceptual video coding.

I obtained my Ph.D. in Communications and Information Engineering at Beihang University in November 2024, supervised by Prof. Mai Xu. Previously, I obtained my B.Sc. degree in 2018 at Beihang University, P.R. China.

Selected Publications

	HyperSOR: context-aware graph hypernetwork for salient object ranking Minglang Qiao,  Mai Xu,  Lai Jiang,  Peng Lei,   Shijie Wen,   Yunjin Chen and Leonid Sigal. IEEE Transactions on Pattern Analysis and Machine Intelligence (TPAMI), 2024. [Paper]
	Joint learning of audio–visual saliency prediction and sound source localization on multi-face videos Minglang Qiao,  Yufan Li,  Mai Xu,  Xin Deng,   Bin Li,   Weiming Hu and Ali Borji. International Journal of Computer Vision (IJCV), 2023. [Paper] [Code and Dataset]
	MT-VQA: A Multi-task Approach for Quality Assessment of Short-form Videos Shijie Wen,  Minglang Qiao✉,  Lai Jiang,  Mai Xu,   Xin Deng,   Shengxi Li. (✉ Corresponding author) ACM International Conference on Multimedia, QoEVMA Workshop (ACM MMW), 2024. This paper received the Best Paper Award. [Paper]
	NTIRE 2022 Challenge on Super-Resolution and Quality Enhancement of Compressed Video Ren Yang, Radu Timofte,  Meisong Zheng, Qunliang Xing,  Minglang Qiao,  Mai Xu, .... This challenge is a part of the NTIRE workshop in conjunction with CVPR 2022. Two Champions and One Runner-up. [Homepage] [Report] [Code] [Blog]
	Viewport-Dependent Saliency Prediction in 360° Video Minglang Qiao, Mai Xu, Zulin Wang and Ali Borji. IEEE Transactions on Multimedia (TMM), 2021. [Paper] [Dataset]
	Learning to Predict Salient Faces: A Novel Visual-Audio Saliency Model Yufan Liu*,  Minglang Qiao*, Mai Xu, Bing Li, Weiming Hu and Ali Borji . (* denotes equal contribution) Proceedings of the European Conference on Computer Vision (ECCV), 2020. [Paper] [Dataset]
	Saliency prediction of sports videos: A large-scale database and a self-adaptive approach Minglang Qiao,  Mai Xu,  Shijie Wen,  Lai Jiang, Shengxi Li,  Tao Xu,  Yunjin Chen and Leonid Sigal. IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP), 2024. [Paper] [Code and Dataset]
	Predicting Head Movement in Panoramic Video: A Deep Reinforcement Learning Approach Mai Xu, Yuhang Song, Jianyi Wang, Minglang Qiao, Liangyu Huo and Zulin Wang. IEEE Transactions on Pattern Analysis and Machine Intelligence (TPAMI), 2019. [Paper] [Code] [Dataset]
	Saliency prediction on mobile videos: A fixation mapping-based dataset and a transformer approach Shijie Wen,  Li Yang,   Mai Xu,   Minglang Qiao,   Tao Xu and Lin Bai. IEEE Transactions on Circuits and Systems for Video Technology (TCSVT), 2023. [Paper] [Dataset]

Awards

• Two Champions and One Runner-up in NTIRE 2022 Challenge on Super-Resolution and Quality Enhancement of Compressed Video. 2022 [Certificate]
• Champion of the 4th National Artificial Intelligence Competition in the "AI + Video Quality Assessment" track. 2023
• Beihang Top-10 PhD Students Award. 2024
• Outstanding Doctoral Dissertation of Beihang University. 2024
• Excellent Graduate of Beihang University. 2024
• National 1st Prize in National Undergraduate Electronics Design Contest. (Top 2.4%, among 14, 400+ teams). 2017 [Certificate]
• National Encouragement Scholarship, P.R. China. 2017 [Certificate]
• Outstanding Science and Technology Scholarship of Beihang University. 2017 [Certificate]
• Admission Scholarship of Beihang University for First-year Postgraduate Student. 2018

Projects

• Researches on Perceptual Video Coding
  * Research on QoE-Oriented Perceptual Video Coding Technology with Alibaba Cloud ( Alibaba Innovative Research Programme , work with Yunjin Chen ), 2021 - 2022  
  * QoE-Oriented Transcoding for E-Commerce Images on Taobao of Alibaba ( Alibaba Innovative Research Programme , 2020 - 2021
  * Saliency-Guided Perceptual Coding for Live Video with Momo Corporation (listed company), 2019 - 2020  

• Researches on Human Attention Prediction
  Deepvs: A Deep Learning Based Video Saliency Prediction Approach, 2017-2018, [Paper]
  Predicting Head Movement in Panoramic Video: A Deep Reinforcement Learning Approach, 2017 - 2018 [Paper]

• Researches on Multi-Task Learning
  Viewport-Dependent Saliency Prediction in 360° Video, 2018-2019 [Paper]
  Joint Learning of Visual-Audio Saliency Prediction and Sound Source Localization on Multi-face Videos, 2020 - 2021 [Paper]
  

• Researches on Multi-Modal Learing
  Learning to Predict Salient Faces: A Novel Visual-Audio Saliency Model, 2019-2020 [Paper]
  

Services

Journal Reviewer

• IEEE Transactions on Pattern Analysis and Machine Intelligence (TPAMI)
• IEEE Transactions on Image Processing (TIP)
• IEEE Transactions on Multimedia (TMM)
• IEEE Transactions on Circuits and Systems for Video Technology (TCSVT)
• Computer Vision and Image Understanding (CVIU)
• IEEE Journal of Selected Topics in Signal Processing (J-STSP)
• Pattern Recognition (PR)

Conference Reviewer

• IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR 2023/2025)
• International Conference on Machine Learning (ICML 2025)
• IEEE International Conference on Computer Vision (ICCV 2023/2025)
• European Conference on Computer Vision (ECCV 2024)
• Annual Conference on Neural Information Processing Systems (NeurIPS 2024)
• AAAI Conference on Artificial Intelligence (AAAI 2024)
• ACM International Conference on Multimedia (ACM MM 2025)
• International Conference on Acoustics, Speech and Signal Processing (ICASSP 2025)
• IEEE International Conference on Multimedia & Expo (ICME, 2025)

Teaching

• Teaching Assistant & Tutor: Introduction to Machine Learning, Beihang University (Fall 2021)
• Teaching Assistant & Tutor: Comprehensive Innovation: Digital Communications, Beihang University (Fall 2021)