Ziqiao Wang
14 papers · 2022–2025 · 7 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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π Interdisciplinary Bridge Β· Bronze πΊοΈ Taxonomy Completionist (32) π Conference Polyglot Β· Silver π€ Dynamic Duo (10) π Triple Crown
π
Grand Slam
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Keyword Collector
(67)
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Prolific Year Β· Productive
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Century Club Β· Bronze
Top co-authors
Research topics
Machine Learning
(14)
Optimization & Theory
(10)
Deep Learning
(6)
Learning Types Β· Machine Learning
(6)
Artificial Intelligence
(4)
Mathematics & Optimization
(4)
Application Areas
(4)
Core AI Β· Artificial Intelligence
(4)
Learning Types Β· Deep Learning
(3)
Mathematics
(3)
Architectures
(2)
Computer Vision
(1)
Natural Language Processing
(1)
Analysis
(1)
Core AI Β· Computer Vision
(1)
Keywords
generalization bound
(5)
conditional mutual information
(3)
information theory
(3)
generalization error
(3)
sample complexity
(2)
unsupervised domain adaptation
(2)
learning theory
(2)
stochastic gradient descent
(2)
label noise
(2)
prompt tuning
(2)
information-theoretic bound
(2)
transfer learning
(2)
cross-modal learning
(1)
adversarial learning
(1)
data augmentation
(1)
metric learning
(1)
knowledge distillation
(1)
domain adaptation
(1)
neural network optimization
(1)
weak supervision
(1)
Papers
Dynamic Task Vector Grouping for Efficient Multi-Task Prompt Tuning
ACL 2025
Generalization in Federated Learning: A Conditional Mutual Information Framework
ICML 2025
Revisiting Weak-to-Strong Generalization in Theory and Practice: Reverse KL vs. Forward KL
ACL 2025
Cross-Modal and Uni-Modal Soft-Label Alignment for Image-Text Retrieval
AAAI 2024
Generalization Bounds via Conditional f-Information
NeurIPS 2024
On f-Divergence Principled Domain Adaptation: An Improved Framework
NeurIPS 2024
On Unsupervised Domain Adaptation: Pseudo Label Guided Mixup for Adversarial Prompt Tuning
AAAI 2024
Two Facets of SDE Under an Information-Theoretic Lens: Generalization of SGD via Training Trajectories and via Terminal States
UAI 2024
Information-Theoretic Analysis of Unsupervised Domain Adaptation
ICLR 2023
Over-Training with Mixup May Hurt Generalization
ICLR 2023
Sample-Conditioned Hypothesis Stability Sharpens Information-Theoretic Generalization Bounds
NeurIPS 2023
Tighter Information-Theoretic Generalization Bounds from Supersamples
ICML 2023
Cluster Attack: Query-based Adversarial Attacks on Graph with Graph-Dependent Priors
IJCAI 2022
On the Generalization of Models Trained with SGD: Information-Theoretic Bounds and Implications
ICLR 2022