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].

Short Bio

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 generative models. 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.

Selected Publications

AVE Speech: A Comprehensive Multi-Modal Dataset for Speech Recognition Integrating Audio, Visual, and Electromyographic Signals

Dongliang Zhou, Yakun Zhang, Jinghan Wu, Xingyu Zhang, Liang Xie, and Erwei Yin

IEEE Transactions on Human-Machine Systems, 2025

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 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

Professional Services

Editorial Roles

Associate Editor, Applied Intelligence (JCR Q2)
Editorial Board Member, Applied Soft Computing (JCR Q1)

Area Chair (AC)

IEEE International Conference on Acoustics, Speech, and Signal Processing (ICASSP) 2026
International Joint Conference on Neural Networks (IJCNN) 2025

Conference/Journal Reviewer

CVPR, ACM MM, IJCAI, etc.
IJCV, IEEE TIP, TCYB, TNNLS, TMM, TCSVT, TII, TASE, TIM, etc.