Miao Xiong
13 papers · 2008–2025 · 6 conferences · across top CS/AI conferences
Achievements
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πΊοΈ Taxonomy Completionist (17) π Academic Marathon (17) π Cross-Pollinator (14) π Renaissance Researcher (5) π Interdisciplinary Bridge
π§
Keyword Pioneer
π
Conference Polyglot
(6)
π
Triple Crown
π
Century Club
(13)
β
The Questioner
(2)
Conferences
ICML (5)
ACL (2)
ICLR (2)
NIPS (2)
CVPR (1)
ECCV (1)
Top co-authors
Keywords
uncertainty estimation
(2)
face recognition
(2)
image generation
(1)
probabilistic modeling
(1)
ensemble learning
(1)
uncertainty quantification
(1)
model calibration
(1)
knowledge distillation
(1)
confidence calibration
(1)
label noise
(1)
generative model
(1)
diffusion model
(1)
language model
(1)
foundation model
(1)
node classification
(1)
latent space
(1)
failure detection
(1)
neighborhood aggregation
(1)
model reliability
(1)
synthetic face generation
(1)
Papers
Bring Reason to Vision: Understanding Perception and Reasoning through Model Merging
ICML 2025
Do LLMs estimate uncertainty well in instruction-following?
ICLR 2025
FlipAttack: Jailbreak LLMs via Flipping
ICML 2025
Revisiting Uncertainty Quantification Evaluation in Language Models: Spurious Interactions with Response Length Bias Results
ACL 2025
Can LLMs Express Their Uncertainty? An Empirical Evaluation of Confidence Elicitation in LLMs
ICLR 2024
$\text{ID}^3$: Identity-Preserving-yet-Diversified Diffusion Models for Synthetic Face Recognition
NIPS 2024
In-Context Sharpness as Alerts: An Inner Representation Perspective for Hallucination Mitigation
ICML 2024
Great Models Think Alike: Improving Model Reliability via Inter-Model Latent Agreement
ICML 2023
GraphCleaner: Detecting Mislabelled Samples in Popular Graph Learning Benchmarks
ICML 2023
Probabilistic Knowledge Distillation of Face Ensembles
CVPR 2023
Proximity-Informed Calibration for Deep Neural Networks
NIPS 2023
"Trust, but Verify: Using Self-Supervised Probing to Improve Trustworthiness"
ECCV 2022
A Probabilistic Model for Fine-Grained Expert Search
ACL 2008