Ziquan Liu
22 papers · 2019–2026 · 10 venues · across top CS/AI venues
Authors are matched by name, so researchers who share a name ("Yang Liu", "Wei Wang") appear as a single profile and their paper counts, venues and achievements are combined. How identity is handled.
Achievements
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🗺️ Taxonomy Completionist (59) 🌍 Conference Polyglot · Gold 🏃 Academic Marathon · Sprint 🌉 Interdisciplinary Bridge · Silver 🐣 Hot Topic Early Bird
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Grand Slam
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Dynamic Duo
(11)
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Prolific Year · Productive
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Unstoppable · Bronze
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Century Club · Bronze
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Renaissance Researcher
(5)
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Trend Setter
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Keyword Collector
(117)
Venues
Top co-authors
Research topics
Machine Learning
(19)
Learning Types · Machine Learning
(10)
Artificial Intelligence
(9)
Application Areas
(9)
Deep Learning
(7)
Optimization & Theory
(7)
Computer Vision
(6)
Core AI
(6)
Learning Types · Deep Learning
(5)
Analysis
(4)
Core Methods
(4)
Techniques
(4)
Models
(3)
Mathematics & Optimization
(2)
Natural Language Processing
(2)
Keywords
uncertainty quantification
(3)
large language model
(3)
variational inference
(2)
whole slide image
(2)
vision transformer
(2)
transfer learning
(2)
visual object tracking
(2)
model compression
(2)
bias mitigation
(2)
prediction set
(2)
optimal transport
(2)
adversarial robustness
(2)
adversarial attack
(2)
conformal prediction
(2)
multiple instance learning
(2)
nested neural network
(2)
algorithmic fairness
(1)
image classification
(1)
learning theory
(1)
federated learning
(1)
Papers
Confidence Should Be Calibrated More Than One Turn Deep
ACL 2026
Cost-Sensitive Conformal Training with Provably Controllable Learning Bounds
AAAI 2026
GrACE: A Generative Approach to Better Confidence Elicitation and Efficient Test-Time Scaling in Large Language Models
ACL 2026
AIM-Fair: Advancing Algorithmic Fairness via Selectively Fine-Tuning Biased Models with Contextual Synthetic Data
CVPR 2025
ConformalSAM: Unlocking the Potential of Foundational Segmentation Models in Semi-Supervised Semantic Segmentation with Conformal Prediction
ICCV 2025
Cultural Alignment in Large Language Models: An Explanatory Analysis Based on Hofstede’s Cultural Dimensions
COLING 2025
Get Confused Cautiously: Textual Sequence Memorization Erasure with Selective Entropy Maximization
COLING 2025
PROSAC: Provably Safe Certification for Machine Learning Models under Adversarial Attacks
AAAI 2025
Query-based Knowledge Transfer for Heterogeneous Learning Environments
ICLR 2025
SEBRA : Debiasing through Self-Guided Bias Ranking
ICLR 2025
Temporal Unlearnable Examples: Preventing Personal Video Data from Unauthorized Exploitation by Object Tracking
ICCV 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
Bayes-MIL: A New Probabilistic Perspective on Attention-based Multiple Instance Learning for Whole Slide Images
ICLR 2023
DropMAE: Masked Autoencoders With Spatial-Attention Dropout for Tracking Tasks
CVPR 2023
Retrieval-Augmented Multiple Instance Learning
NeurIPS 2023
TWINS: A Fine-Tuning Framework for Improved Transferability of Adversarial Robustness and Generalization
CVPR 2023
Improved Fine-Tuning by Better Leveraging Pre-Training Data
NeurIPS 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