Zhen Zhang ☕️
Zhen Zhang

Senior Research Fellow

Adelaide University

About Me

Zhen Zhang is currently a Postdoctoral Researcher at the University of Adelaide, working with Prof. Javen Qinfeng Shi. Previously, he was a postdoctoral research fellow in the Department of Computer Science at the National University of Singapore under the supervision of Prof. Lee Wee Sun. He received a PhD in Computer Science from Northwestern Polytechnical University (Xi’an, China) under the supervision of Prof. Yanning Zhang. During Nov. 2012 to Dec. 2014, he was a visiting student at Australian Centre for Visual Technologies, University of Adelaide, under the supervision of Prof. Anton van den Hengel and Prof. Javen Qinfeng Shi. He completed his bachelor degree in Computer Science in 2010 at School of Computer Science and Engineering, Northwestern Polytechnical University, Xi’an, China.

Interests
  • Causality
  • Machine Learning
  • Artificial Intelligence
Education

  • PhD in Computer Science

    Northwestern Polytechnical University

  • Bachelor in Computer Science

    Northwestern Polytechnical University

Recent News
Working Papers
Haiyao Cao, Zhen Zhang, Yuhang Liu, Panpan Cai, Jinan Zou, Ehsan Abbasnejad, Biwei Huang, Mingming Gong, Anton Van Den Hengel, Javen Qinfeng Shi (2025). Rethinking State Disentanglement in Causal Reinforcement Learning. Submitted to International Conference on Machine Learning (ICML) 2025.
Yuhang Liu, Zhen Zhang, Dong Gong, Erdun Gao, Biwei Huang, Mingming Gong, Anton Van Den Hengel, Kun Zhang, Javen Qinfeng Shi (2025). Silver Linings: On the Types of Distribution Shifts that Enhance Identifiability in Causal Representation Learning. Submitted to International Conference on Machine Learning (ICML) 2025.
Hamed Damirchi, Cristian Rodriguez-Opazo, Ehsan Abbasnejad, Zhen Zhang, Javen Qinfeng Shi (2025). The Quest for Winning Tickets in Low-Rank Adapters. Submitted to International Conference on Machine Learning (ICML) 2025.
Yuhang Liu, Dong Gong, Erdun Gao, Zhen Zhang, Biwei Huang, Mingming Gong, Anton Van Den Hengel, Javen Qinfeng Shi (2025). I Predict Therefore I Am: Is Next Token Prediction Enough to Learn Human-Interpretable Concepts from Data?. Submitted to International Conference on Machine Learning 2025.
Hamed Damirchi, Ehsan Abbasnejad, Zhen Zhang, Javen Qinfeng Shi (2024). Decomposing Task Vectors for Refined Model Editing. Submitted to International Conference on Computer Vision and Pattern Recognition (CVPR) 2025.
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Recent Publications
Zhen Zhang, Ignavier Ng, Dong Gong, Yuhang Liu, Ehsan Abbasnejad, Mingming Gong, Kun Zhang, Anton Ven Den Hengel, Javen Qinfeng Shi (2025). Analytic DAG Constraints for Differentiable DAG Learning. International Conference on Learning Representations.
URL
Yichao Cai, Yuhang Liu, Zhen Zhang, Javen Qinfeng Shi (2025). CLAP: Isolating Content from Style Through Contrastive Learning with Augmented Prompts. Computer Vision – ECCV 2024.
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Alireza Ghiasi, Zhen Zhang, Zijie Zeng, Ching Tai Ng, Abdul Hamid Sheikh, Javen Qinfeng Shi (2025). Generalization of anomaly detection in bridge structures using a vibration‐based Siamese convolutional neural network. Computer aided Civil Eng.
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Yuhang Liu, Zhen Zhang, Dong Gong, Mingming Gong, Biwei Huang, Anton Van Den Hengel, Kun Zhang, Javen Qinfeng Shi (2024). Identifiable Latent Polynomial Causal Models Through the Lens of Change. ICLR.
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Liang Chen, Yong Zhang, Yibing Song, Zhen Zhang, Lingqiao Liu (2024). A Causal Inspired Early-Branching Structure for Domain Generalization. Int J Comput Vis.
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