publications

publications by categories in reversed chronological order. generated by jekyll-scholar.

2026

  1. Generative Conversational Recommender System
    Sixiao Zhang, Mingrui Liu, and Cheng Long
    arXiv preprint arXiv:2605.21987, 2026
    arXiv
  2. Wukong framework for not safe for work detection in text-to-image systems
    Mingrui Liu, Sixiao Zhang, and Cheng Long
    In Proceedings of the 32nd ACM SIGKDD Conference on Knowledge Discovery and Data Mining V. 1, 2026
    arXiv
  3. RedVisor: Reasoning-Aware Prompt Injection Defense via Zero-Copy KV Cache Reuse
    Mingrui Liu, Sixiao Zhang, Cheng Long, and 1 more author
    arXiv preprint arXiv:2602.01795, 2026
    arXiv

2025

  1. The Trojan Example: Jailbreaking LLMs through Template Filling and Unsafety Reasoning
    Mingrui Liu, Sixiao Zhang, Cheng Long, and 1 more author
    arXiv preprint arXiv:2510.21190, 2025
    arXiv
  2. Data watermarking for sequential recommender systems
    Sixiao Zhang, Cheng Long, Wei Yuan, and 2 more authors
    In Proceedings of the 31st ACM SIGKDD Conference on Knowledge Discovery and Data Mining V. 2, 2025
    arXiv
  3. On Mitigating Data Sparsity in Conversational Recommender Systems
    Sixiao Zhang, Mingrui Liu, Cheng Long, and 4 more authors
    arXiv preprint arXiv:2507.00479, 2025
    arXiv
  4. Mask-based membership inference attacks for retrieval-augmented generation
    Mingrui Liu, Sixiao Zhang, and Cheng Long
    In Proceedings of the ACM on Web Conference 2025, 2025
    arXiv
  5. Facet-aware multi-head mixture-of-experts model for sequential recommendation
    Mingrui Liu, Sixiao Zhang, and Cheng Long
    In Proceedings of the eighteenth ACM international conference on web search and data mining, 2025
    arXiv

2024

  1. Watermarking Recommender Systems
    Sixiao Zhang, Cheng Long, Wei Yuan, and 2 more authors
    In Proceedings of the 33rd ACM International Conference on Information and Knowledge Management, 2024
    arXiv
  2. Attention is not the only choice: Counterfactual reasoning for path-based explainable recommendation
    Yicong Li, Xiangguo Sun, Hongxu Chen, and 3 more authors
    IEEE Transactions on Knowledge and Data Engineering, 2024
    arXiv
  3. Defense against model extraction attacks on recommender systems
    Sixiao Zhang, Hongzhi Yin, Hongxu Chen, and 1 more author
    In Proceedings of the 17th ACM International Conference on web search and data mining, 2024
    arXiv

2023

  1. Generating counterfactual hard negative samples for graph contrastive learning
    Haoran Yang, Hongxu Chen, Sixiao Zhang, and 4 more authors
    In Proceedings of the ACM web conference 2023, 2023
    arXiv

2022

  1. Can language models serve as temporal knowledge bases?
    Ruilin Zhao, Feng Zhao, Guandong Xu, and 2 more authors
    In Findings of the Association for Computational Linguistics: EMNLP 2022, 2022
    Website
  2. Unsupervised graph poisoning attack via contrastive loss back-propagation
    Sixiao Zhang, Hongxu Chen, Xiangguo Sun, and 2 more authors
    In Proceedings of the ACM Web Conference 2022, 2022
    arXiv
  3. Graph masked autoencoders with transformers
    Sixiao Zhang, Hongxu Chen, Haoran Yang, and 3 more authors
    arXiv preprint arXiv:2202.08391, 2022
    arXiv
  4. Geometric inductive matrix completion: A hyperbolic approach with unified message passing
    Chengkun Zhang, Hongxu Chen, Sixiao Zhang, and 2 more authors
    In Proceedings of the Fifteenth ACM International Conference on Web Search and Data Mining, 2022
    Website

2021

  1. Where are we in embedding spaces?
    Sixiao Zhang, Hongxu Chen, Xiao Ming, and 3 more authors
    In Proceedings of the 27th ACM SIGKDD Conference on Knowledge Discovery & Data Mining, 2021
    arXiv

2019

  1. Development and validation of a machine learning algorithm for predicting response to anticholinergic medications for overactive bladder syndrome
    David Sheyn, Mingxuan Ju, Sixiao Zhang, and 7 more authors
    Obstetrics & Gynecology, 2019