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Sicheng Zhu

14 papers · 2020–2026 · 6 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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+4 more ↓ πŸ—ΊοΈ Taxonomy Completionist (26) 🌍 Conference Polyglot Β· Silver πŸƒ Academic Marathon Β· Sprint πŸŒ‰ Interdisciplinary Bridge Β· Bronze 🧬 Topic Evolution
πŸ† Grand Slam πŸ—ƒοΈ Keyword Collector (63) ❓ The Questioner πŸ’Ž Century Club Β· Bronze

Venues

AAAI (4) ICML (4) ICLR (3) CVPR (1) NAACL (1) NeurIPS (1)

Top co-authors

Furong Huang (9) Bang An (8) Luping Ji (4) Michael-Andrei Panaitescu-Liess (4) Yuancheng Xu (3) Jianghong Huang (3) Mao Ye (3) Weiwei Duan (3) Pankayaraj Pathmanathan (2) Aakriti Agrawal (2)

Research topics

Machine Learning (11) Artificial Intelligence (9) Application Areas (7) Core AI (7) Learning Types (6) Learning Paradigms (3) Optimization & Theory (2) Computer Vision (1) Natural Language Processing (1) Analysis (1) Applications (1) Core Methods (1) Generation (1)

Keywords

large language model (4) infrared small target detection (3) copyright infringement (2) domain generalization (2) object detection (2) domain adaptation (2) adversarial learning (2) contrastive learning (1) learning theory (1) unsupervised learning (1) data transformation (1) data poisoning (1) anomaly detection (1) robustness (1) representation learning (1) cross-domain learning (1) preference alignment (1) semi-supervised learning (1) text generation (1) prototype learning (1)

Papers

CHAL: Causal-guided Hierarchical Anomaly-aware Learning for Moving Infrared Small Target Detection CVPR 2026 Cross-domain Joint Learning with Prototype-guided Mixture-of-Experts for Infrared Moving Small Target Detection AAAI 2026 Domain-Auxiliary Infrared Moving Small Target Detection by Learning to Overlook Domain Discrepancy AAAI 2026 SeViL: Semi-supervised Vision-Language Learning with Text Prompt Guiding for Moving Infrared Small Target Detection AAAI 2026 Can Watermarking Large Language Models Prevent Copyrighted Text Generation and Hide Training Data? AAAI 2025 GenARM: Reward Guided Generation with Autoregressive Reward Model for Test-Time Alignment ICLR 2025 PoisonedParrot: Subtle Data Poisoning Attacks to Elicit Copyright-Infringing Content from Large Language Models NAACL 2025 Like Oil and Water: Group Robustness Methods and Poisoning Defenses May Be at Odds ICLR 2024 PerceptionCLIP: Visual Classification by Inferring and Conditioning on Contexts ICLR 2024 Position: On the Possibilities of AI-Generated Text Detection ICML 2024 WAVES: Benchmarking the Robustness of Image Watermarks ICML 2024 Learning Unforeseen Robustness from Out-of-distribution Data Using Equivariant Domain Translator ICML 2023 Understanding the Generalization Benefit of Model Invariance from a Data Perspective NeurIPS 2021 Learning Adversarially Robust Representations via Worst-Case Mutual Information Maximization ICML 2020