Wei Qian

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Publications

For citation counts and the latest updates, visit Google Scholar.

Conference Papers

2026

  1. Selective Forgetting for Large Reasoning Models

    Tuan Le, Wei Qian, Mengdi Huai

    PAKDD 2026 · Hong Kong, China

  2. Rethinking Unlearnable Examples in the Context of the Right to be Forgotten

    Chenxu Zhao, Wei Qian, Chenglin Miao, Mengdi Huai

    PAKDD 2026 · Hong Kong, China

  3. Towards Benchmarking Privacy Vulnerabilities in Selective Forgetting with Large Language Models

    Wei Qian*, Chenxu Zhao*, Yangyi Li, Mengdi Huai

    AAAI 2026 · Singapore

2025

  1. Towards Unveiling Predictive Uncertainty Vulnerabilities in the Context of the Right to Be Forgotten

    Wei Qian*, Chenxu Zhao*, Yangyi Li, Wenqian Ye, Mengdi Huai

    CIKM 2025 · Seoul, South Korea

  2. Membership Inference Attacks with False Discovery Rate Control

    Chenxu Zhao, Wei Qian, Aobo Chen, Mengdi Huai

    ICCV 2025 · Honolulu, Hawaii, USA

  3. Neuron Explanations for Conformal Prediction (Student Abstract)

    Divya Lidder, Kathryn Morse, Bridget Sullivan, Wei Qian, Chenglin Miao, Mengdi Huai

    AAAI 2025 · Philadelphia, USA

2024

  1. Modeling and Understanding Uncertainty in Medical Image Classification

    Aobo Chen, Yangyi Li, Wei Qian, Kathryn Morse, Chenglin Miao, Mengdi Huai

    MICCAI 2024 · Marrakesh, Morocco

  2. Rethinking Adversarial Robustness in the Context of the Right to be Forgotten

    Chenxu Zhao*, Wei Qian*, Yangyi Li, Aobo Chen, Mengdi Huai

    ICML 2024 · Vienna, Austria

  3. Data Poisoning Attacks against Conformal Prediction

    Yangyi Li, Aobo Chen, Wei Qian, Chenxu Zhao, Divya Lidder, Mengdi Huai

    ICML 2024 · Vienna, Austria

  4. Towards Modeling Uncertainties of Self-explaining Neural Networks via Conformal Prediction

    Wei Qian*, Chenxu Zhao*, Yangyi Li*, Fenglong Ma, Chao Zhang, Mengdi Huai

    AAAI 2024 · Vancouver, Canada

  5. Automated Natural Language Explanation of Deep Visual Neurons with Large Models (Student Abstract)

    Chenxu Zhao, Wei Qian, Yucheng Shi, Mengdi Huai, Ninghao Liu

    AAAI 2024 · Vancouver, Canada

2023

  1. Static and Sequential Malicious Attacks in the Context of Selective Forgetting

    Chenxu Zhao*, Wei Qian*, Zhitao Ying, Mengdi Huai

    NeurIPS 2023 · New Orleans, USA

  2. Towards Understanding and Enhancing Robustness of Deep Learning Models against Malicious Unlearning Attacks

    Wei Qian*, Chenxu Zhao*, Wei Le, Meiyi Ma, Mengdi Huai

    KDD 2023 · Long Beach, USA

2022

  1. Patient Similarity Learning with Selective Forgetting

    Wei Qian, Chenxu Zhao, Huajie Shao, Minghan Chen, Fei Wang, Mengdi Huai

    BIBM 2022 · Las Vegas, USA

  2. SPATL: Salient Parameter Aggregation and Transfer Learning for Heterogeneous Federated Learning

    Sixing Yu, Phuong Nguyen, Waqwoya Abebe, Wei Qian, Ali Anwar, Ali Jannesari

    SC 2022 · Dallas, USA

Tutorial

  1. Data Security and Privacy in Machine Unlearning: Recent Advances, Challenges, and Future Perspectives

    Aobo Chen, Wei Qian, Zheyuan Liu, Shagufta Mehnaz, Tianhao Wang, Mengdi Huai

    ICDM 2025 Tutorial · Washington, DC, USA

Preprints

  1. Exploring Fairness in Educational Data Mining in the Context of the Right to be Forgotten

    Wei Qian*, Aobo Chen*, Chenxu Zhao, Yangyi Li, Mengdi Huai

    arXiv, 2024

  2. Automated Natural Language Explanation of Deep Visual Neurons with Large Models

    Chenxu Zhao, Wei Qian, Yucheng Shi, Mengdi Huai, Ninghao Liu

    arXiv, 2023

  3. Resource-Aware Federated Learning Using Knowledge Extraction and Multi-Model Fusion

    Sixing Yu, Wei Qian, Ali Jannesari

    arXiv, 2022

* Equal contribution.