Ziqiao Wang
14 papers · 2022–2025 · 7 conferences · across top CS/AI conferences
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Conferences
ICLR (3)
NIPS (3)
AAAI (2)
ACL (2)
ICML (2)
IJCAI (1)
UAI (1)
Top co-authors
Keywords
generalization bound
(4)
conditional mutual information
(2)
learning theory
(2)
information theory
(2)
prompt tuning
(2)
sample complexity
(2)
transfer learning
(1)
unsupervised domain adaptation
(1)
multi-task learning
(1)
cross-modal learning
(1)
stochastic convex optimization
(1)
prompt learning
(1)
weak supervision
(1)
neural network optimization
(1)
adversarial learning
(1)
stochastic process
(1)
distribution shift
(1)
knowledge distillation
(1)
rademacher complexity
(1)
label noise
(1)
Papers
Revisiting Weak-to-Strong Generalization in Theory and Practice: Reverse KL vs. Forward KL
ACL 2025
Dynamic Task Vector Grouping for Efficient Multi-Task Prompt Tuning
ACL 2025
Generalization in Federated Learning: A Conditional Mutual Information Framework
ICML 2025
On Unsupervised Domain Adaptation: Pseudo Label Guided Mixup for Adversarial Prompt Tuning
AAAI 2024
On $f$-Divergence Principled Domain Adaptation: An Improved Framework
NIPS 2024
Two Facets of SDE Under an Information-Theoretic Lens: Generalization of SGD via Training Trajectories and via Terminal States
UAI 2024
Generalization Bounds via Conditional $f$-Information
NIPS 2024
Cross-Modal and Uni-Modal Soft-Label Alignment for Image-Text Retrieval
AAAI 2024
Sample-Conditioned Hypothesis Stability Sharpens Information-Theoretic Generalization Bounds
NIPS 2023
Over-Training with Mixup May Hurt Generalization
ICLR 2023
Information-Theoretic Analysis of Unsupervised Domain Adaptation
ICLR 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