Ziquan Liu
22 papers · 2019–2026 · 10 conferences · across top CS/AI conferences
Achievements
Jump to papers ↓+10 more ↓ Show less ↑
π Academic Marathon (6) π Interdisciplinary Bridge π Conference Polyglot (9) π§ Keyword Pioneer π Cross-Pollinator (14)
π
Cross-Pollinator
(14)
π
Renaissance Researcher
(6)
πΊοΈ
Taxonomy Completionist
(53)
π
Grand Slam
π€
Dynamic Duo
(11)
π
Trend Setter
β‘
Prolific Year
(8)
π
Century Club
(19)
π₯
Unstoppable
(7)
ποΈ
Keyword Collector
(93)
Conferences
CVPR (5)
ICLR (3)
AAAI (2)
ACL (2)
COLING (2)
ICCV (2)
IJCAI (2)
NIPS (2)
ECCV (1)
ICML (1)
Top co-authors
Keywords
large language model
(3)
uncertainty quantification
(3)
conformal prediction
(2)
vision transformer
(2)
model compression
(2)
variational inference
(2)
nested neural network
(2)
transfer learning
(2)
optimal transport
(2)
adversarial robustness
(2)
visual object tracking
(2)
manifold learning
(1)
semantic segmentation
(1)
algorithmic fairness
(1)
image classification
(1)
dimensionality reduction
(1)
model calibration
(1)
learning theory
(1)
video segmentation
(1)
semi-supervised learning
(1)
Papers
Confidence Should Be Calibrated More Than One Turn Deep
ACL 2026
GrACE: A Generative Approach to Better Confidence Elicitation and Efficient Test-Time Scaling in Large Language Models
ACL 2026
Cost-Sensitive Conformal Training with Provably Controllable Learning Bounds
AAAI 2026
Get Confused Cautiously: Textual Sequence Memorization Erasure with Selective Entropy Maximization
COLING 2025
ConformalSAM: Unlocking the Potential of Foundational Segmentation Models in Semi-Supervised Semantic Segmentation with Conformal Prediction
ICCV 2025
PROSAC: Provably Safe Certification for Machine Learning Models under Adversarial Attacks
AAAI 2025
Cultural Alignment in Large Language Models: An Explanatory Analysis Based on Hofstedeβs Cultural Dimensions
COLING 2025
AIM-Fair: Advancing Algorithmic Fairness via Selectively Fine-Tuning Biased Models with Contextual Synthetic Data
CVPR 2025
Temporal Unlearnable Examples: Preventing Personal Video Data from Unauthorized Exploitation by Object Tracking
ICCV 2025
Query-based Knowledge Transfer for Heterogeneous Learning Environments
ICLR 2025
SEBRA : Debiasing through Self-Guided Bias Ranking
ICLR 2025
A Secure Image Watermarking Framework with Statistical Guarantees via Adversarial Attacks on Secret Key Networks
ECCV 2024
The Pitfalls and Promise of Conformal Inference Under Adversarial Attacks
ICML 2024
TWINS: A Fine-Tuning Framework for Improved Transferability of Adversarial Robustness and Generalization
CVPR 2023
DropMAE: Masked Autoencoders With Spatial-Attention Dropout for Tracking Tasks
CVPR 2023
Retrieval-Augmented Multiple Instance Learning
NIPS 2023
Bayes-MIL: A New Probabilistic Perspective on Attention-based Multiple Instance Learning for Whole Slide Images
ICLR 2023
Improved Fine-Tuning by Better Leveraging Pre-Training Data
NIPS 2022
A Generalized Loss Function for Crowd Counting and Localization
CVPR 2021
Bayesian Nested Neural Networks for Uncertainty Calibration and Adaptive Compression
CVPR 2021
Fully Nested Neural Network for Adaptive Compression and Quantization
IJCAI 2020
Parametric Manifold Learning of Gaussian Mixture Models
IJCAI 2019