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Xinghua Qu

Diagnostic-Guided Dynamic Profile Optimization for LLM-based User Simulators in Sequential Recommendation
LLM4RSR: Large Language Models as Data Correctors for Robust Sequential Recommendation
Adaptive In-Context Learning with Large Language Models for Bundle Generation
Breaking the Silence: Whisper-Driven Emotion Recognition in AI Mental Support Models
Large Language Models for Intent-Driven Session Recommendations
Revisiting Bundle Recommendation for Intent-aware Product Bundling
Towards Building Voice-based Conversational Recommender Systems: Datasets, Potential Solutions, and Prospects
DaisyRec 2.0: Benchmarking Recommendation for Rigorous Evaluation
Importance Prioritized Policy Distillation
Next Point-of-Interest Recommendation with Inferring Multi-step Future Preference
Revisiting Bundle Recommendation: Datasets, Tasks, Challenges and Opportunities for Intent-aware Product Bundling
Synthesizing Audio Adversarial Examples for Automatic Speech Recognition
Adversary Agnostic Robust Deep Reinforcement Learning
Top-aware Recommender Distillation with Deep Reinforcement Learning
Are We Evaluating Rigorously? Benchmarking Recommendation for Reproducible Evaluation and Fair Comparison
Minimalistic Attacks: How Little it Takes to Fool a Deep Reinforcement Learning Policy

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