PPaperPicks

Zhaowei Zhu

10 papers at tracked venues · 9 at CORE A* · active 2024–2026

DBLP profile ↗ORCID search ↗

Venues

AAAI ×2ICLR ×2NeurIPS ×2ACL ×1ECCV ×1ICML ×1SIGKDD ×1

Frequent coauthors

Jinlong Pang
DBLP profile ↗ORCID search ↗
×3
Hao Zheng
DBLP profile ↗ORCID search ↗
×1
Jiaheng Wei
DBLP profile ↗ORCID search ↗
×1
Yichi Zhang
DBLP profile ↗ORCID search ↗
×1
Yaxuan Wang
DBLP profile ↗ORCID search ↗
×1
Xinyuan Ji
DBLP profile ↗ORCID search ↗
×1
Zonglin Di
DBLP profile ↗ORCID search ↗
×1

Papers

  1. OFFSIDE: Benchmarking Unlearning Misinformation in Multimodal Large Language Models
    ACL 2026 ·
    Hao Zheng
    DBLP profile ↗ORCID search ↗
  2. Robust Learning from Noisily Labeled Long-Tailed Data via Fairness Regularizer
    AAAI 2026 ·
    Jiaheng Wei
    DBLP profile ↗ORCID search ↗
  3. Evaluating LLM-contaminated Crowdsourcing Data Without Ground Truth
    NeurIPS 2025 ·
    Yichi Zhang
    DBLP profile ↗ORCID search ↗
  4. Improving Data Efficiency via Curating LLM-Driven Rating Systems
    ICLR 2025 ·
    Jinlong Pang
    DBLP profile ↗ORCID search ↗
  5. Noise-Resilient Point-wise Anomaly Detection in Time Series Using Weak Segment Labels
    SIGKDD 2025 ·
    Yaxuan Wang
    DBLP profile ↗ORCID search ↗
  6. Token Cleaning: Fine-Grained Data Selection for LLM Supervised Fine-Tuning
    ICML 2025 ·
    Jinlong Pang
    DBLP profile ↗ORCID search ↗
  7. Fairness without Harm: An Influence-Guided Active Sampling Approach
    NeurIPS 2024 ·
    Jinlong Pang
    DBLP profile ↗ORCID search ↗
  8. FedFixer: Mitigating Heterogeneous Label Noise in Federated Learning
    AAAI 2024 ·
    Xinyuan Ji
    DBLP profile ↗ORCID search ↗
  9. Federated Learning with Local Openset Noisy Labels
    ECCV 2024 ·
    Zonglin Di
    DBLP profile ↗ORCID search ↗
  10. Unmasking and Improving Data Credibility: A Study with Datasets for Training Harmless Language Models
    ICLR 2024 · Zhaowei Zhu