qizhou wang
17 papers · 2021–2025 · 5 conferences · across top CS/AI conferences
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NIPS (6)
ICLR (4)
AAAI (3)
ICML (3)
CVPR (1)
Top co-authors
Keywords
out-of-distribution detection
(3)
open-world classification
(2)
label noise
(2)
feature perturbation
(2)
domain adaptation
(2)
deep neural network
(2)
noisy label learning
(1)
graph anomaly detection
(1)
feature learning
(1)
vision language model
(1)
alternating optimization
(1)
approximation error
(1)
wasserstein ball
(1)
deep model
(1)
feature space
(1)
pairwise relation
(1)
adversarial training
(1)
probabilistic model
(1)
black-box attack
(1)
cross-domain learning
(1)
Papers
Exploring Criteria of Loss Reweighting to Enhance LLM Unlearning
ICML 2025
Towards Effective Evaluations and Comparisons for LLM Unlearning Methods
ICLR 2025
Open-Set Graph Anomaly Detection via Normal Structure Regularisation
ICLR 2025
Rethinking LLM Unlearning Objectives: A Gradient Perspective and Go Beyond
ICLR 2025
Adaptive Localization of Knowledge Negation for Continual LLM Unlearning
ICML 2025
GRU: Mitigating the Trade-off between Unlearning and Retention for LLMs
ICML 2025
A Sober Look at the Robustness of CLIPs to Spurious Features
NIPS 2024
Cross-Domain Graph Anomaly Detection via Anomaly-Aware Contrastive Alignment
AAAI 2023
Out-of-distribution Detection Learning with Unreliable Out-of-distribution Sources
NIPS 2023
Learning to Augment Distributions for Out-of-distribution Detection
NIPS 2023
Out-of-distribution Detection with Implicit Outlier Transformation
ICLR 2023
Real-Time Hyperspectral Imaging in Hardware via Trained Metasurface Encoders
CVPR 2022
Towards Lightweight Black-Box Attack Against Deep Neural Networks
NIPS 2022
Watermarking for Out-of-distribution Detection
NIPS 2022
Probabilistic Margins for Instance Reweighting in Adversarial Training
NIPS 2021
Learning with Group Noise
AAAI 2021
Tackling Instance-Dependent Label Noise via a Universal Probabilistic Model
AAAI 2021