Sicheng Zhu
13 papers · 2020–2026 · 5 conferences · across top CS/AI conferences
Achievements
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πΊοΈ Taxonomy Completionist (18) π§ Keyword Pioneer π£ Hot Topic Early Bird π Academic Marathon (5) π Cross-Pollinator (9)
π
Interdisciplinary Bridge
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Conference Polyglot
(5)
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Grand Slam
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Century Club
(10)
β
The Questioner
Conferences
AAAI (4)
ICML (4)
ICLR (3)
NAACL (1)
NIPS (1)
Top co-authors
Keywords
object detection
(2)
infrared small target detection
(2)
copyright infringement
(2)
large language model
(2)
domain generalization
(2)
domain adaptation
(2)
data poisoning
(1)
data transformation
(1)
prototype learning
(1)
cross-domain learning
(1)
text generation
(1)
mutual information
(1)
adversarial attack
(1)
generalization bound
(1)
text prompt
(1)
domain translation
(1)
membership inference
(1)
robust representation
(1)
membership inference attack
(1)
out-of-distribution datum
(1)
Papers
Domain-Auxiliary Infrared Moving Small Target Detection by Learning to Overlook Domain Discrepancy
AAAI 2026
Cross-domain Joint Learning with Prototype-guided Mixture-of-Experts for Infrared Moving Small Target Detection
AAAI 2026
SeViL: Semi-supervised Vision-Language Learning with Text Prompt Guiding for Moving Infrared Small Target Detection
AAAI 2026
PoisonedParrot: Subtle Data Poisoning Attacks to Elicit Copyright-Infringing Content from Large Language Models
NAACL 2025
GenARM: Reward Guided Generation with Autoregressive Reward Model for Test-Time Alignment
ICLR 2025
Can Watermarking Large Language Models Prevent Copyrighted Text Generation and Hide Training Data?
AAAI 2025
PerceptionCLIP: Visual Classification by Inferring and Conditioning on Contexts
ICLR 2024
WAVES: Benchmarking the Robustness of Image Watermarks
ICML 2024
Like Oil and Water: Group Robustness Methods and Poisoning Defenses May Be at Odds
ICLR 2024
Position: On the Possibilities of AI-Generated Text Detection
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
NIPS 2021
Learning Adversarially Robust Representations via Worst-Case Mutual Information Maximization
ICML 2020