Yin Zhang

I'm a Ph.D. candidate at Harbin Institute of Technology (HIT, China), supervised by Prof. Dan Liu and Yongqiang Zhang (Postdoc in Wangmeng Zuo's team).

I am currently a Research Assistant (2026-present) in Learning and Machine Perception (LAMP) team, supervised by Prof. Bogdan Raducanu and Joost van de Weijer at the Computer Vision Center of Universitat Autònoma de Barcelona (UAB, Spain).

I expect to graduate in 2026 and am actively seeking full-time positions. I would be honored to have the opportunity to collaborate with you.

💬 If you have an interest in my work or any queries, please feel free to contact me.

Email / Google Scholar / Github

Research Interests

My interests focus on object detection / semantic segmentation under challenging conditions (e.g. night, rain, snow, and fog). Currently, I aim to explore parameter-efficient fine-tuning of multimodal foundation models for downstream tasks, with a particular focus on domain adaptation/generalization and test-time adaptation under distribution shifts.

Publications

Image signal process with dynamic class-rebalanced and IoU-threshold for unsupervised domain adaptive dark object detection
Yin Zhang, Yongqiang Zhang, Zian Zhang, Man Zhang, Rui Tian, Mingli Ding, Bogdan Raducanu, Dan Liu
Pattern Recognition, 2026 (IF: 9.1)
paper / bibtex / code

Revisiting Weight Regularization for Low-Rank Continual Learning
Yaoyue Zheng, Yin Zhang, Joost van de Weijer, Gido M van de Ven, Shaoyi Du, Xuetao Zhang, Zhiqiang Tian*
ICLR , 2026 (Poster)
paper / bibtex / code

Causal-Tune: Mining Causal Factors from Vision Foundation Models for Domain Generalized Semantic Segmentation
Yin Zhang, Yongqiang Zhang, Yaoyue Zheng, Bogdan Raducanu, Dan Liu
AAAI, 2026 (Poster)
paper / bibtex / code

ISP-Teacher:Image Signal Process with Disentanglement Regularization for Unsupervised Domain Adaptive Dark Object Detection
Yin Zhang, Yongqiang Zhang, Zian Zhang, Man Zhang, Rui Tian, Mingli Ding
AAAI, 2024 (Poster)
paper / bibtex / code

ThumbDet: One thumbnail image is enough for object detection
Yongqiang Zhang#, Yin Zhang#, Rui Tian, Zian Zhang, Yancheng Bai, Wangmeng Zuo, Mingli Ding
Pattern Recognition, 2023 (IF: 9.1)
paper / bibtex / code

WPD: Weather prompt driven zero-shot adverse condition depth estimation
Rui Tian, Yongqiang Zhang, Zhixiang Zhang, Man Zhang, Zian Zhang, Yin Zhang, Yongqiang Li, Wangmeng Zuo
Pattern Recognition, 2026 (IF: 9.1)
paper / bibtex / code

ILD: Image-Level Labels Driven Active Learning Object Detection
Rui Tian, Jiaxuan Zhang, Yongqiang Zhang, Man Zhang, Zian Zhang, Yin Zhang, Yongqiang Li, Wangmeng Zuo
IEEE Transactions on Circuits and Systems for Video Technology (TCSVT), 2025 (IF: 10.8)
paper / bibtex / code

Revising Representation and Target Deviations for Accurate Human Pose Estimation
Zian Zhang, Yongqiang Zhang, Yancheng Bai, Man Zhang, Rui Tian, Yin Zhang, Mingli Ding, Wangmeng Zuo
IEEE Transactions on Neural Networks and Learning Systems (TNNLS), 2025 (IF: 9.7)
paper / bibtex

Vital information is only worth one thumbnail: Towards efficient human pose estimation
Zian Zhang, Yongqiang Zhang, Rui Tian, Yin Zhang, Mingli Ding
Pattern Recognition, 2024 (IF: 9.1)
paper / bibtex

R-CCF: region-aware continual contrastive fusion for weakly supervised object detection
Yongqiang Zhang#, Rui Tian#, Yin Zhang, Zian Zhang, Yancheng Bai, Mingli Ding, Wangmeng Zuo
Applied Intelligence, 2024 (IF: 3.5)
paper / bibtex / code

Selected Honors

[2026] AAAI-26 Student Scholarship
[2023] Harbin Institute of Technology (HIT, China), Outstanding Students

Reviewer

AAAI-27, AAAI-26, ICLR-26, ECCV-26, NeurIPS-26, Pattern Recognition, Expert Systems with Applications

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