Author

Liangzhe Han

Beihang University

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Book Open access Aug 2026

Influence-Aware Dynamic Graph Learning for Popularity Prediction

With the rapid spread of information, popularity prediction has become a critical problem in decision-making, trend analysis, and recommendation. Recent studies address this problem by modeling historical interaction sequences as dynamic graphs and learning node representations to characterize popularity evolution. How...

Yumeng Zhou, Mingzhe Liu, Leilei Sun et al. · Proceedings of the 32nd ACM... · 0 citations

Preprint Aug 2026

Intent Speaks Louder: Controllable User Simulation Beyond Response Imitation

This work introduces UserIDA (User Intent-Directive Alignment), which exposes interaction intent as an explicit per-turn directive, and establishes per-turn intent control as a complementary dimension to response fidelity in user simulation.

Bo Wang, Ruixing Zhang, Yunqi Liu et al. · 0 citations

#artificial intelligence Preprint Aug 2026

SemPOI-RL: Aligning LLM Semantic Reasoning for Interpretable Out-of-Town POI Sequential Generation

SemPOI-RL is proposed, a framework that aligns LLM semantic reasoning with structured sequence generation for interpretable OOT recommendation and consistently outperforms both traditional recommenders and direct LLM baselines, while providing interpretable style attribution across different phases of a trip.

Yunqi Liu, Yang Zhang, Ruixing Zhang et al. · 0 citations