Jianing Zhu
12 papers · 2021–2026 · 4 venues · across top CS/AI venues
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Achievements
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π Interdisciplinary Bridge Β· Bronze πΊοΈ Taxonomy Completionist (26) π Conference Polyglot Β· Bronze π Academic Marathon Β· Sprint π Triple Crown
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Dynamic Duo
(11)
ποΈ
Keyword Collector
(57)
π₯
Unstoppable Β· Bronze
β
The Questioner
(2)
π
Century Club Β· Bronze
Venues
Top co-authors
Research topics
Machine Learning
(11)
Learning Types Β· Machine Learning
(9)
Application Areas
(6)
Artificial Intelligence
(5)
Core AI Β· Artificial Intelligence
(5)
Optimization & Theory
(3)
Deep Learning
(2)
Core Methods
(2)
Learning Types Β· Deep Learning
(2)
Computer Vision
(1)
Natural Language Processing
(1)
Core AI Β· Computer Vision
(1)
Generation
(1)
Keywords
out-of-distribution detection
(4)
adversarial training
(3)
ood detection
(2)
distribution shift
(2)
adversarial robustness
(2)
data heterogeneity
(1)
in-context learning
(1)
domain generalization
(1)
model pruning
(1)
deep learning
(1)
knowledge distillation
(1)
generative model
(1)
machine unlearning
(1)
adversarial perturbation
(1)
poisoning attack
(1)
language model
(1)
model behavior
(1)
vision-language model
(1)
pseudo label
(1)
self-supervised learning
(1)
Papers
Copyright Detective: A Forensic System to Evidence LLMs Flickering Copyright Leakage Risks
ACL 2026
Towards Effective Evaluations and Comparisons for LLM Unlearning Methods
ICLR 2025
Can Language Models Perform Robust Reasoning in Chain-of-thought Prompting with Noisy Rationales?
NeurIPS 2024
Self-Calibrated Tuning of Vision-Language Models for Out-of-Distribution Detection
NeurIPS 2024
What If the Input is Expanded in OOD Detection?
NeurIPS 2024
Combating Exacerbated Heterogeneity for Robust Models in Federated Learning
ICLR 2023
Diversified Outlier Exposure for Out-of-Distribution Detection via Informative Extrapolation
NeurIPS 2023
Exploring Model Dynamics for Accumulative Poisoning Discovery
ICML 2023
Unleashing Mask: Explore the Intrinsic Out-of-Distribution Detection Capability
ICML 2023
Adversarial Training with Complementary Labels: On the Benefit of Gradually Informative Attacks
NeurIPS 2022
Reliable Adversarial Distillation with Unreliable Teachers
ICLR 2022
Geometry-aware Instance-reweighted Adversarial Training
ICLR 2021