collaborators

5 papers

cs.CL2026

Vernier: Probing Representational Misalignment Behind Lexical Gaps in Causal Reasoning

Zhenyu Yu

Instruction-tuned language models can answer the same causal-reasoning question differently after its English variable names are replaced by type-preserving placeholders, although…

cs.LG2026

InstantForget: Update-Free Backdoor Unlearning with Inference-Time Feature Reset

Zhenyu Yu

Backdoor unlearning aims to remove a malicious trigger behavior from a deployed model while preserving clean utility. We study the update-free inference-time setting, where model p…

cs.IR2026

When Does Latent Reasoning Help? MeRa: Metric-Space Bias for Spatial Prediction

Zhenyu Yu, Shuigeng Zhou

Latent reasoning has improved sequential recommendation by iteratively refining representations before prediction, but does it help spatial prediction? We find that the answer depe…

cs.IR2026

MARS: Multi-rate Aggregation of Recency Signals for Sequential Recommendation across Sparse and Dense Regimes

Zhenyu Yu, Shuigeng Zhou

Sequential recommenders weight historical interactions either through positional self-attention as in Transformers or through a single implicit decay schedule as in State-Space Mod…

cs.CR2026

Ghost: Plausible Yet Unlearnable Trajectories via On-Manifold Substitution for Next-POI Privacy

Zhenyu Yu, Jihong Guan, Shuigeng Zhou

A publisher who releases check-in trajectories inadvertently publishes a strong predictor of every user's future locations. We address this risk by generating unlearnable trajector…