Jianing Zhu
12 papers · 2021–2026 · 4 conferences · across top CS/AI conferences
Achievements
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🐣 Hot Topic Early Bird 🐝 Cross-Pollinator (11) 🌉 Interdisciplinary Bridge 🌍 Conference Polyglot (3) 🌈 Renaissance Researcher (5)
🌍
Conference Polyglot
(3)
🌈
Renaissance Researcher
(5)
🤝
Dynamic Duo
(11)
👑
Triple Crown
🔥
Unstoppable
(5)
💎
Century Club
(11)
❓
The Questioner
(2)
Conferences
NIPS (5)
ICLR (4)
ICML (2)
ACL (1)
Top co-authors
Keywords
out-of-distribution detection
(4)
distribution shift
(2)
ood detection
(2)
adversarial training
(1)
deep learning
(1)
model pruning
(1)
generative model
(1)
adversarial perturbation
(1)
language model
(1)
poisoning attack
(1)
vision-language model
(1)
pseudo label
(1)
chain-of-thought prompting
(1)
clip model
(1)
prompt tuning
(1)
uncertainty calibration
(1)
semantic feature
(1)
llm safety
(1)
confidence score
(1)
outlier exposure
(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
Self-Calibrated Tuning of Vision-Language Models for Out-of-Distribution Detection
NIPS 2024
Can Language Models Perform Robust Reasoning in Chain-of-thought Prompting with Noisy Rationales?
NIPS 2024
What If the Input is Expanded in OOD Detection?
NIPS 2024
Exploring Model Dynamics for Accumulative Poisoning Discovery
ICML 2023
Diversified Outlier Exposure for Out-of-Distribution Detection via Informative Extrapolation
NIPS 2023
Combating Exacerbated Heterogeneity for Robust Models in Federated Learning
ICLR 2023
Unleashing Mask: Explore the Intrinsic Out-of-Distribution Detection Capability
ICML 2023
Reliable Adversarial Distillation with Unreliable Teachers
ICLR 2022
Adversarial Training with Complementary Labels: On the Benefit of Gradually Informative Attacks
NIPS 2022
Geometry-aware Instance-reweighted Adversarial Training
ICLR 2021