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qizhou wang

18 papers · 2021–2026 · 5 venues · across top CS/AI venues

Authors are matched by name, so researchers who share a name ("Yang Liu", "Wei Wang") appear as a single profile and their paper counts, venues and achievements are combined. How identity is handled.

Achievements

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+8 more ↓ πŸ—ΊοΈ Taxonomy Completionist (39) 🌍 Conference Polyglot Β· Silver πŸƒ Academic Marathon Β· Sprint πŸŒ‰ Interdisciplinary Bridge Β· Bronze 🐣 Hot Topic Early Bird
🧬 Topic Evolution πŸ† Keyword Champion (2) πŸ† Grand Slam 🀝 Dynamic Duo (14) ⚑ Prolific Year Β· Productive πŸ”₯ Unstoppable Β· Bronze πŸ’Ž Century Club Β· Bronze πŸ—ƒοΈ Keyword Collector (95)

Venues

NeurIPS (6) ICLR (4) AAAI (3) ICML (3) CVPR (2)

Top co-authors

Bo Han (14) Tongliang Liu (9) Feng Liu (6) Chen Gong (4) Gang Niu (3) Yonggang Zhang (3) Masashi Sugiyama (3) Puning Yang (2) Christopher Leckie (2) Guansong Pang (2)

Research topics

Machine Learning (15) Artificial Intelligence (11) Core AI (9) Learning Types Β· Machine Learning (9) Deep Learning (7) Application Areas (6) Optimization & Theory (6) Core Methods (4) Learning Types Β· Deep Learning (4) Computer Vision (3) Learning Paradigms (3) Natural Language Processing (2) Analysis (2) Architectures (2) Resources & Methods (2)

Keywords

large language model (4) out-of-distribution detection (4) unlearning (3) domain adaptation (2) feature perturbation (2) label noise (2) deep neural network (2) open-world classification (2) graph anomaly detection (2) domain generalization (1) adversarial training (1) cross-domain learning (1) model behavior (1) machine unlearning (1) adversarial robustness (1) semantic segmentation (1) noisy label learning (1) alternating optimization (1) feature learning (1) feature space (1)

Papers

Arcadia: Toward a Full-Lifecycle Framework for Embodied Lifelong Learning CVPR 2026 Adaptive Localization of Knowledge Negation for Continual LLM Unlearning ICML 2025 Exploring Criteria of Loss Reweighting to Enhance LLM Unlearning ICML 2025 GRU: Mitigating the Trade-off between Unlearning and Retention for LLMs ICML 2025 Open-Set Graph Anomaly Detection via Normal Structure Regularisation ICLR 2025 Rethinking LLM Unlearning Objectives: A Gradient Perspective and Go Beyond ICLR 2025 Towards Effective Evaluations and Comparisons for LLM Unlearning Methods ICLR 2025 A Sober Look at the Robustness of CLIPs to Spurious Features NeurIPS 2024 Cross-Domain Graph Anomaly Detection via Anomaly-Aware Contrastive Alignment AAAI 2023 Learning to Augment Distributions for Out-of-distribution Detection NeurIPS 2023 Out-of-distribution Detection Learning with Unreliable Out-of-distribution Sources NeurIPS 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 NeurIPS 2022 Watermarking for Out-of-distribution Detection NeurIPS 2022 Learning with Group Noise AAAI 2021 Probabilistic Margins for Instance Reweighting in Adversarial Training NeurIPS 2021 Tackling Instance-Dependent Label Noise via a Universal Probabilistic Model AAAI 2021