All Stories

  1. Does Knowledge Distillation Matter for Large Language Model based Bundle Generation?

    Article • ACM Transactions on Information Systems, April 2026, ACM (Association for Computing Machinery)

    Jie Yang, Xinghua Qu

  2. Stabilizing Modality Gap & Lowering Gradient Norms Improve Zero-Shot Adversarial Robustness of VLMs

    Article • July 2025, ACM (Association for Computing Machinery)

    Xinghua Qu

  3. Adaptive In-Context Learning with Large Language Models for Bundle Generation

    Article • July 2024, ACM (Association for Computing Machinery)

    Jie Yang, Xinghua Qu

  4. Large Language Models for Intent-Driven Session Recommendations

    Article • July 2024, ACM (Association for Computing Machinery)

    Xinghua Qu

  5. Revisiting Bundle Recommendation for Intent-aware Product Bundling

    Article • ACM Transactions on Recommender Systems, March 2024, ACM (Association for Computing Machinery)

    Jie Yang, Xinghua Qu

  6. Towards Building Voice-based Conversational Recommender Systems: Datasets, Potential Solutions and Prospects

    Article • July 2023, ACM (Association for Computing Machinery)

    Xinghua Qu

  7. Importance Prioritized Policy Distillation

    Article • August 2022, ACM (Association for Computing Machinery)

    Xinghua Qu

  8. Synthesising Audio Adversarial Examples for Automatic Speech Recognition

    Article • August 2022, ACM (Association for Computing Machinery)

    Xinghua Qu

  9. Revisiting Bundle Recommendation

    Article • July 2022, ACM (Association for Computing Machinery)

    Jie Yang, Xinghua Qu