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.

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, 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.

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.

Yuhang Liu, Zhen Zhang, Dong Gong, Mingming Gong, Biwei Huang, Anton Van Den Hengel, Kun Zhang, Javen Qinfeng Shi (2024). Identifying Weight-Variant Latent Causal Models. arXiv, submitted to JMLR.