Dongliang Zhou < 周栋梁 />
B.Eng. CS., Ph.D. CS.
Harbin Institute of Technology, Shenzhen
If you are interested in working with me on research or projects, you can email me at [zhou-dongliang at outlook.com].
B.Eng. CS., Ph.D. CS.
Harbin Institute of Technology, Shenzhen
Dongliang Zhou is a postdoctoral researcher at Harbin Institute of Technology, Shenzhen, working under the
supervision of Prof.
Liqiang Nie. He obtained his doctoral degree from the School of Computer Science and Technology at
the same institution. His research interests include multimedia computing, multimodal learning, and image
synthesis. In addition to his research, he serves as an associate editor for Applied Intelligence and as an editorial board member of Applied Soft Computing. He is also actively involved in mentoring undergraduate and graduate students from Harbin Institute of Technology, Peking University, etc., in
conducting scientific research.
PanoGen++: Domain-Adapted Text-Guided Panoramic Environment Generation for Vision-and-Language Navigation
Sen Wang†, Dongliang Zhou†,✉, Liang Xie, Chao Xu, Ye Yan, and Erwei Yin
Neural Networks, 2025
Advanced Multimodal Compatibility Modeling and Recommendation
Weili Guan, Xuemeng Song, Dongliang Zhou, and Liqiang Nie
Springer Nature Book, 2025
LipGen: Viseme-Guided Lip Video Generation for Enhancing Visual Speech
Recognition
Bowen Hao†, Dongliang Zhou†, Xiaojie Li,
Xingyu Zhang, Liang Xie, Jianlong Wu, and Erwei Yin
IEEE International Conference on Acoustics, Speech, and Signal Processing, 2025
Safe-VLN: Collision
Avoidance for
Vision-and-Language Navigation of Autonomous Robots Operating in Continuous Environments
Lu Yue, Dongliang Zhou, Liang Xie, Feitian Zhang, Ye Yan, and Erwei Yin
IEEE Robotics and Automation Letters (also presented at IROS 2024 oral), 2024
Towards Intelligent Design:
A Self-Driven Framework for Collocated
Clothing Synthesis Leveraging Fashion Styles and Textures
Minglong Dong†, Dongliang Zhou†, Jianghong Ma, and Haijun Zhang
IEEE International Conference on Acoustics, Speech, and Signal Processing, 2024
FCBoost-Net: A Generative Network
for Synthesizing Multiple Collocated Outfits via Fashion Compatibility Boosting
Dongliang Zhou, Haijun Zhang, Jianghong Ma, Jicong Fan, and Zhao Zhang
ACM International Conference on Multimedia, 2023
Toward Intelligent Interactive
Design: A Generation Framework Based on Cross-domain Fashion Elements
Jianyang Shi, Haijun Zhang, Dongliang Zhou, and Zhao Zhang
ACM International Conference on Multimedia, 2023
BC-GAN: A
Generative Adversarial Network for Synthesizing a Batch of Collocated Clothing
Dongliang Zhou, Haijun Zhang, Jianghong Ma, and Jianyang Shi
IEEE Transactions on Circuits and Systems for Video Technology, 2024
COutfitGAN: Learning to
Synthesize Compatible Outfits Supervised by Silhouette Masks and
Fashion Styles
Dongliang Zhou, Haijun Zhang, Qun Li, Jianghong Ma, and Xiaofei Xu
IEEE Transactions on Multimedia, 2023
Learning to Synthesize
Compatible Fashion Items Using Semantic Alignment and Collocation
Classification: An Outfit Generation Framework
Dongliang Zhou, Haijun Zhang, Kai Yang, Linlin Liu, Han Yan, Xiaofei Xu, Zhao Zhang, and
Shuicheng
Yan
IEEE Transactions on Neural Networks and Learning Systems, 2024
Toward Intelligent
Design: An AI-based Fashion Designer Using Generative Adversarial
Networks Aided by Sketch and Rendering Generators
Han Yan, Haijun Zhang, Linlin Liu, Dongliang Zhou, Xiaofei Xu, Zhao Zhang, and Shuicheng Yan
IEEE Transactions on Multimedia, 2023