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Jia-Jun Peng

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#artificial intelligence Preprint Sep 2026

Destination Support Restoration for Finite-Set Multimodal Trajectory Prediction

DSR is introduced, a causal post-selection operator that repairs destination support without retraining the host predictor or increasing the maintained set size, and shows that finite-set support allocation is a useful prediction-side control point when a fixed hypothesis set serves as the interface to downstream syste...

Feng-Rui Liu, Jia-Jun Peng, Duo Peng et al. · 0 citations
#artificial intelligence Preprint Sep 2026

Rethinking Procedural Audio Pre-training: Source Scaling and Objective Adaptation

Procedural audio has emerged as a viable source for transferable audio representation learning, but its design principles remain unclear.We revisit two questions: how a procedural source should be scaled, and whether training choices developed on natural audio should transfer unchanged to procedural data.Using a contro...

Jia-Jun Peng, Feng-Rui Liu, Xin-Yu Liu et al. · 0 citations

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