Author

Zi-Yi Ding

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Preprint Oct 2026

Intervene, Calibrate, Discover: Learning Causal Structure from Pixels

Learning high-level causal variables from low-level observations is a central problem for artificial intelligence. With known node semantics but an unknown graph, visual readout errors can misalign model settings with environment intervention values. We address this mismatch by pairing image readouts with verified valu...

Zi-Yi Ding, Xiao-Di Huang, Xian-Xin Lai et al. · 0 citations

Preprint Aug 2026

Traj-LeWM: Path-Aware World-Model Planning via Latent Trajectory Cost

Traj-LeWM is proposed, which retains LeWM's local-dynamics objective and endpoint score while introducing a goal-conditioned latent trajectory cost (LTC) that aggregates trajectory-level information as a complementary signal.

Xiaodi Huang, Ziyi Ding, Jingtian Wan et al. · 3 citations